# Process and Product Characterization ofAliha, A Maize-Based Ghanaian Indigenous Fermented Beverage

Authors: Felix Kwashie Madilo; Angela Parry-Hanson Kunadu; Kwaku Tano-Debrah; Gloria Ivy Mensah; Kwesi Firibu Saalia; Unathi Kolanisi
Journal: Journal of Food Quality
 (2022)

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## Abstract

Aliha is a maize-based traditional fermented beverage prepared and consumed in Ghana, predominantly in the Volta Region and other parts of Ghana. The study sought to characterize the production processes, the nutritional values, and microbial composition of aliha. A total of 126 aliha producers in the Volta, Greater Accra, and Ashanti Regions were sampled using snowballing to identify and to recruit the producers for the study, using a pretested self-administered questionnaire. The physicochemical and microbial composition were carried out using standard methods. Four different production techniques were identified across the production sites. The variations identified during the production existed across the production chain. The main ingredients used for aliha production are corn, caramel, sugar, and water. However, aliha produced by the ‘original’ method (DN2) presented the best nutritional values (proteins, energy, and calcium), followed by backslopping techniques, AG1 (total carbohydrates and ash), and AG2 (fats and oils and phosphorus). Fungi and Enterobacteriaceae dominated the initial fermentation stages (24 h) with low acid values. However, as the fermentation time increased from 24 h to 72 h, the acid contents of the fermenting beverage increased sharply leading to a drastic reduction of fungi and Enterobacteriaceae contents with increasing records of lactic acid bacterial counts. Even though DN2 presented the best nutritional values, it was highly contaminated. Hence, the producers must be encouraged to use backslopping techniques for safety and to shorten the duration of production.


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## Body

## 1. Introduction

Cereal-based foods account for as much as 77% of total caloric consumption and contribute significantly to the dietary protein intake in Africa [1]. Most cereal-based traditional foods and beverages in Africa are processed through natural fermentation. Fermentation as a processing technique is used to preserve substantial amounts of food and beverages through lactic acid, alcohol, acetic acid, and alkaline fermentation. The process of fermentation also reduces cooking times and fuel requirements [1]. Some examples of cereal-based fermented beverages with their local names in Africa include Burukutu (Ethiopia, Nigeria); Pito and Kaffir beer (Ghana); Busaa (Nigeria); Merissa (Zambia); Seketeh (Nigeria); Bouza (Egypt); Mahewu or Magou (South Africa) [2]. For most of these cereal-based beverages, maize or sorghum is the predominant cereal used as raw material in their processing.Aliha is a traditional fermented beverage prepared and consumed in several communities in the Volta Region of Ghana. The etymology of the name aliha was coined from its indigenous origins in the Ewe language of Ketu South of the Volta region of Ghana, where it is known to be produced using ‘hali’ (corn malt) and allowed to ferment (aha), hence, the name. During preparation, corn is steeped, malted, milled, mashed, boiled, and fermented, and the fermented wort is caramelized before consumption. Nonpackaged or refrigerated aliha has to be consumed within few hours; else, fermentation will advance to a point where the beverage will become too sour for human consumption. Aliha is considered by the local consumers as a refreshing drink. It is also a source of essential nutrients and has medicinal values; hence, it is consumed throughout the day. Currently, it is prepared, marketed, and consumed in all the sixteen (16) political regions in Ghana.Additionally, due to extensive efforts that have been put into studying the nutritional importance of beverages such askwete (maize and millet-based beverage from Uganda), mangisi (Zimbabwean beverage produced from millet malt), pito (millet-based, Ghana), burukutu (Nigerian beverage produced from guinea corn), amgba (sorghum-based opague beer produced by Cameroonians), dolo (sorghum beer produced by Burkina- Faso), kunu-zaki (millet-based beverage produced by Nigerians), and many others during their fermentations, most of these beverages have been commercialized. However, the nutritional composition of aliha is yet to be investigated.The fermentation of the most traditional beverages is initiated by the action of fungi (alcohol fermentation), and lactic acid bacteria (LAB) (lactic acid fermentation) for unique and pleasant sensory properties. As the fermentation period increases, several bacterial, mold, and yeast species appear at the various stages including the final products, making it difficult to determine the quality of the final products [3, 4]. Unlike other fermented beverages (pito, mahewu, dolo, burukutu, and busaa), there is limited information about the production process and the microbial community associated with aliha. Pérez-Armendáriz and Cardoso-Ugarte [3] reported that several species of Enterobacteriaceae, fungi, and LAB were isolated from all the fermentation stages of pozol. Robledo-Marquez et al. [5] added that as the fermentation time of pozo increased, the acidity of the fermenting wort increased, which led to a significant reduction of Enterobacteriaceae, yeasts, and molds in the final beverage. Due to diversity of microbiota, which characterizes the spontaneous fermented products, their qualities and safety may not be assured. Hence, this study was designed to evaluate the production techniques, the nutritional values, and the microbial qualities of aliha.


## 2. Materials and Methods

### 2.1. Survey onAliha Production

A survey ofaliha production was conducted in the Volta Region Keta Municipal (Anloga, Keta, Dzita and Dzelukope), Ketu South Municipal (Denu, Agbozume and Aflao), Ho Metropolis (Ho Central; Greater Accra Region (Madina and Teshie Salem), and Ashanti Region (Anloga Junction, Ayeduase and Ayigya) of Ghana (Figure 1). These sites were chosen because they were the predominant aliha production regions. A semistructured questionnaire was developed to investigate the production techniques. The questionnaire was structured into three sections with seventeen questions. Section A dealt with demographic characteristics such gender, age, education, marital status, and primary and secondary occupations; section B contained fourteen questions based on production; and section C contained three questions based on product quality control. The questionnaire was validated by experts in beverage production and piloted among five (5) producers from Tregui, a village in Keta District, and Adina-Amutinu, twin villages in Ketu-South Municipal. These villages were eventually excluded from the sampling plan. The feedback from the piloting was used to modify the questionnaire, which was used for the data collection in the study.Figure 1
Part of map of Ghana indicating the studied Municipals and Districts.


### 2.2. Sampling Technique and Sample Size

Snowballing, a nonprobability method was used to identifyaliha producers in the Volta, Ashanti, Northern, Greater Accra, Central and Eastern Regions of Ghana. Based on the number of producers identified in these regions, Volta, Ashanti, and Greater Accra Regions were chosen for the study. Due to the unwillingness of some of the producers to give out the needed information, a convenient sampling technique was used to recruit one hundred and twenty-six producers (126) across the three regions. The distribution of the sample size is presented in Table 1.Table 1
Sample size distribution across the selected regions.
Region/MunicipalTownProducersTotalVolta105Keta MunicipalAnloga22Dzita10Dzelukope9Keta7Ketu South Municipaldenu14Agbozume17Aflao16Ho MunicipalHo central10Greater accra15Medina5Teshie salem3Lapaz7Ashanti6Kumasi MetropolisAnloga junction3Ayeduase1Ayigya2Total——126


### 2.3. Sample Collection

Due to the variations that exist in the production processes of traditionally preparedaliha, the purposive sampling method was used to select five (5) producers: two each from Anloga (AG1, AG2) and Denu (DN1, DN2) in the Volta region and one from Madina, Greater Accra Region of Ghana (ACC) for sample collection. A total of thirty (30) samples were collected, three (3) from each producer in duplicate. At each of the sampling points (0 h, 24 h, and 72 h), about 500 ml of the aliha samples were collected in duplicates in sterilized bottles and transported immediately after collection on ice to the University of Ghana, Microbiology laboratory of Nutrition and Food Science Department to obtain the microbial pellets for further analysis. Ten milliliters from each of the samples was centrifuged (Centric 150, Clifton) at 7,500 rpm for 10 mins. The pellets were kept in 30% glycerol at −20°C until they were transported on ice to South Africa, University of Zululand, Consumer Science Department for microbial identification. Ethical clearance certificate for the study was obtained from Ethics Committee for Basic and Applied Sciences (ECBAS), University of Ghana.


### 2.4. Determination of Changes in Temperature, pH, and Titratable Acidity ofAliha Samples

The temperature and pH of thealiha were checked immediately after sampling using digital thermometer [Major Tech (PTY) LTD, MT630, Isando 1600, South Africa] and pH meter (Crison Instrument, S.A. Riera Principal, 34–36 E-08328 Alella—Barcelona), respectively. Using phenolphthalein indicator, total titratable acidity was determined by titrating a mixture of 10 mL sample and 90 mL distilled water against a 0.1 M sodium hydroxide (NaOH) solution [6]. The percentage acid was calculated using the following formula:(1)%Lactic Acid=ml of0:1MNaOH×normality of NaOH×mol weight of acid10ml of sample.


### 2.5. Proximate Analysis of Traditional FermentedAliha

Moisture, ash, protein, calcium, and phosphorus ofaliha were determined as described by AOAC [6]. While total fats (Werner Scmid), energy (Atwater factor) and iron (2,2—bipyridyl Calorimetric) were analyzed using their corresponding methods, total carbohydrates including fiber determinations were done by calculation [% TC = 100−% (moisture + protein + fat + ash)]. The alcohol content was measured using the following method: after aliha was properly mixed, a drop was made onto the lens of the Abbe refractometer (2WAJ, Optika, Italy), and the refractive index was taken. The alcohol content was determined after comparing the values using the refractive index table. The analyses were done in the Analytical and Microbiological Testing Laboratory of Food and Cosmetic Technologies, Durban, South Africa, and repeated in the Chemistry Department of Food Research Institute (FRI), Ghana.


### 2.6. Enumeration of Bacteria and Fungi

Microbial analysis was carried out in triplicate. For each analysis, 10-fold serial dilutions were carried out by inoculating 9 ml of buffered peptone water (0.1% [w/v] peptone, 0.85% [w/v] NaCl; pH 7.2) with 1 ml of stored concentrated sample pellets in 30% glycerol. Hundred microliters (100μl) of the dilutions was surface spread onto de Man Rogosa and Sharpe (MRS) agar (acumedia®, LAB223) for Lactobacilli, M17 agar for Lactococcus species and other cocci, Potato Dextrose (PDA) agar (NEOGEN®, NCM0018 A, UK) for fungi and MacConkey agar (MERCK, biolab) for Enterobacteriaceae. MRS and M17 agar plates were supplemented with 1% ciprofloxacin/cycloheximide (Sigma-Aldrich; Steinheim; Germany) to inhibit the growth of fungi and enteric bacteria, while PDA plates contained 1% streptomycin to prevent the growth of bacteria [7]. Microorganisms plated on MRS agar and M17 agar were incubated anaerobically using anaerobic jar with AneroGenTM 2.5 L (Oxoid LtD, Wade Road, Basingstoke, Hants) at 30°C for 72 hours, while MacConkey agar and PDA were incubated aerobically at 37°C for 24–48 hours, and 25°C for 3 to 5 days, respectively. Colonies between 30 and 300 on the various bacterial agar plates and 15 and 150 for fungal plates were selected for enumeration. The fungal colonies selected were equal to or greater than 0.5 mm in diameter [7]. The counts were calculated and recorded as means of three determinations and were expressed as colony forming units (cfu) per millimeter. Plates (10−5) with discrete colonies were selected, and four (4) representative colonies from a quadrant of the plates were picked randomly and transferred into 10 ml MRS broth for LAB, Nutrient broth (OXOID, CM0001) for Enterobacteriaceae and fungi. The tubes were incubated using the incubation conditions described above. They were subsequently subcultured on their respective media to obtain pure cultures. The cultures were then stored at −80°C in sterile Eppendorf tubes containing MRS broth (LAB) and Nutrient broth (Enterobacteriaceae and fungi) supplemented with 30% (v/v) glycerol as cryoprotectant for further analysis.


### 2.7. Statistical Analysis

All data collected were presented on excel sheet, imported, and coded into the Statistical Package for Social Scientists (SPSS) for windows, version IBM 25.0. Frequencies were generated using descriptive analysis. Significant differences were determined using Analysis of Variance (ANOVA) and post hoc tests. The figures were developed using MS excel 2016. Computation was used to obtain the predators and the significant association (P≤0.05) among some demographic characteristics, and experience and average production capacity were investigated using Spearman’s rho correlation coefficient. Preliminary analyses were performed to ensure no violation of the assumptions of normality, linearity, and homoscedasticity [8].


## 2.1. Survey onAliha Production

A survey ofaliha production was conducted in the Volta Region Keta Municipal (Anloga, Keta, Dzita and Dzelukope), Ketu South Municipal (Denu, Agbozume and Aflao), Ho Metropolis (Ho Central; Greater Accra Region (Madina and Teshie Salem), and Ashanti Region (Anloga Junction, Ayeduase and Ayigya) of Ghana (Figure 1). These sites were chosen because they were the predominant aliha production regions. A semistructured questionnaire was developed to investigate the production techniques. The questionnaire was structured into three sections with seventeen questions. Section A dealt with demographic characteristics such gender, age, education, marital status, and primary and secondary occupations; section B contained fourteen questions based on production; and section C contained three questions based on product quality control. The questionnaire was validated by experts in beverage production and piloted among five (5) producers from Tregui, a village in Keta District, and Adina-Amutinu, twin villages in Ketu-South Municipal. These villages were eventually excluded from the sampling plan. The feedback from the piloting was used to modify the questionnaire, which was used for the data collection in the study.Figure 1
Part of map of Ghana indicating the studied Municipals and Districts.


## 2.2. Sampling Technique and Sample Size

Snowballing, a nonprobability method was used to identifyaliha producers in the Volta, Ashanti, Northern, Greater Accra, Central and Eastern Regions of Ghana. Based on the number of producers identified in these regions, Volta, Ashanti, and Greater Accra Regions were chosen for the study. Due to the unwillingness of some of the producers to give out the needed information, a convenient sampling technique was used to recruit one hundred and twenty-six producers (126) across the three regions. The distribution of the sample size is presented in Table 1.Table 1
Sample size distribution across the selected regions.
Region/MunicipalTownProducersTotalVolta105Keta MunicipalAnloga22Dzita10Dzelukope9Keta7Ketu South Municipaldenu14Agbozume17Aflao16Ho MunicipalHo central10Greater accra15Medina5Teshie salem3Lapaz7Ashanti6Kumasi MetropolisAnloga junction3Ayeduase1Ayigya2Total——126


## 2.3. Sample Collection

Due to the variations that exist in the production processes of traditionally preparedaliha, the purposive sampling method was used to select five (5) producers: two each from Anloga (AG1, AG2) and Denu (DN1, DN2) in the Volta region and one from Madina, Greater Accra Region of Ghana (ACC) for sample collection. A total of thirty (30) samples were collected, three (3) from each producer in duplicate. At each of the sampling points (0 h, 24 h, and 72 h), about 500 ml of the aliha samples were collected in duplicates in sterilized bottles and transported immediately after collection on ice to the University of Ghana, Microbiology laboratory of Nutrition and Food Science Department to obtain the microbial pellets for further analysis. Ten milliliters from each of the samples was centrifuged (Centric 150, Clifton) at 7,500 rpm for 10 mins. The pellets were kept in 30% glycerol at −20°C until they were transported on ice to South Africa, University of Zululand, Consumer Science Department for microbial identification. Ethical clearance certificate for the study was obtained from Ethics Committee for Basic and Applied Sciences (ECBAS), University of Ghana.


## 2.4. Determination of Changes in Temperature, pH, and Titratable Acidity ofAliha Samples

The temperature and pH of thealiha were checked immediately after sampling using digital thermometer [Major Tech (PTY) LTD, MT630, Isando 1600, South Africa] and pH meter (Crison Instrument, S.A. Riera Principal, 34–36 E-08328 Alella—Barcelona), respectively. Using phenolphthalein indicator, total titratable acidity was determined by titrating a mixture of 10 mL sample and 90 mL distilled water against a 0.1 M sodium hydroxide (NaOH) solution [6]. The percentage acid was calculated using the following formula:(1)%Lactic Acid=ml of0:1MNaOH×normality of NaOH×mol weight of acid10ml of sample.


## 2.5. Proximate Analysis of Traditional FermentedAliha

Moisture, ash, protein, calcium, and phosphorus ofaliha were determined as described by AOAC [6]. While total fats (Werner Scmid), energy (Atwater factor) and iron (2,2—bipyridyl Calorimetric) were analyzed using their corresponding methods, total carbohydrates including fiber determinations were done by calculation [% TC = 100−% (moisture + protein + fat + ash)]. The alcohol content was measured using the following method: after aliha was properly mixed, a drop was made onto the lens of the Abbe refractometer (2WAJ, Optika, Italy), and the refractive index was taken. The alcohol content was determined after comparing the values using the refractive index table. The analyses were done in the Analytical and Microbiological Testing Laboratory of Food and Cosmetic Technologies, Durban, South Africa, and repeated in the Chemistry Department of Food Research Institute (FRI), Ghana.


## 2.6. Enumeration of Bacteria and Fungi

Microbial analysis was carried out in triplicate. For each analysis, 10-fold serial dilutions were carried out by inoculating 9 ml of buffered peptone water (0.1% [w/v] peptone, 0.85% [w/v] NaCl; pH 7.2) with 1 ml of stored concentrated sample pellets in 30% glycerol. Hundred microliters (100μl) of the dilutions was surface spread onto de Man Rogosa and Sharpe (MRS) agar (acumedia®, LAB223) for Lactobacilli, M17 agar for Lactococcus species and other cocci, Potato Dextrose (PDA) agar (NEOGEN®, NCM0018 A, UK) for fungi and MacConkey agar (MERCK, biolab) for Enterobacteriaceae. MRS and M17 agar plates were supplemented with 1% ciprofloxacin/cycloheximide (Sigma-Aldrich; Steinheim; Germany) to inhibit the growth of fungi and enteric bacteria, while PDA plates contained 1% streptomycin to prevent the growth of bacteria [7]. Microorganisms plated on MRS agar and M17 agar were incubated anaerobically using anaerobic jar with AneroGenTM 2.5 L (Oxoid LtD, Wade Road, Basingstoke, Hants) at 30°C for 72 hours, while MacConkey agar and PDA were incubated aerobically at 37°C for 24–48 hours, and 25°C for 3 to 5 days, respectively. Colonies between 30 and 300 on the various bacterial agar plates and 15 and 150 for fungal plates were selected for enumeration. The fungal colonies selected were equal to or greater than 0.5 mm in diameter [7]. The counts were calculated and recorded as means of three determinations and were expressed as colony forming units (cfu) per millimeter. Plates (10−5) with discrete colonies were selected, and four (4) representative colonies from a quadrant of the plates were picked randomly and transferred into 10 ml MRS broth for LAB, Nutrient broth (OXOID, CM0001) for Enterobacteriaceae and fungi. The tubes were incubated using the incubation conditions described above. They were subsequently subcultured on their respective media to obtain pure cultures. The cultures were then stored at −80°C in sterile Eppendorf tubes containing MRS broth (LAB) and Nutrient broth (Enterobacteriaceae and fungi) supplemented with 30% (v/v) glycerol as cryoprotectant for further analysis.


## 2.7. Statistical Analysis

All data collected were presented on excel sheet, imported, and coded into the Statistical Package for Social Scientists (SPSS) for windows, version IBM 25.0. Frequencies were generated using descriptive analysis. Significant differences were determined using Analysis of Variance (ANOVA) and post hoc tests. The figures were developed using MS excel 2016. Computation was used to obtain the predators and the significant association (P≤0.05) among some demographic characteristics, and experience and average production capacity were investigated using Spearman’s rho correlation coefficient. Preliminary analyses were performed to ensure no violation of the assumptions of normality, linearity, and homoscedasticity [8].


## 3. Results and Discussion

### 3.1. Sociodemographic Characterization ofAliha Producers

The results of sociodemographic characteristics ofaliha producers summarized in Table 2 reveal that the majority of the respondents were females (96%), married (67.5%), and had between 1 and 5 (72.2%) children. It was not surprising to notice that almost all the producers were females because cooking traditionally was believed to be the sole responsibility of a woman [9] in most of the African countries including Ghana; hence, the majority of the production of aliha is carried out by females. Further analysis of the data had also proven that the 4% of the producers who were men were largely supported by their wives. Members of this minority group (men) were between the ages of 30 and 39 and had no formal educational. It was also realized that most of the producers who were divorced and single had between 6 and 15 children and were 50 to 60 years old (data not shown). Most of the producers had primary (31%) or no formal education (10%). However, the majority of aliha producers were between 50 and 59 years of age (Table 2). The respondents who had tertiary education (7%) such as university, Polytechnics, Nursing training, and College of education were government employees and engaged in aliha business as a secondary occupation.Table 2
Sociodemographic characteristics ofaliha producers.
ParameterVariableFrequencyPercentGendermale54.0Female12196.0Age˂201310.320–29107.930–391814.340–493124.650–594334.1>60118.7Educationtertiary97.1JHS4334.1SHS2217.5Primary3931.0Others1310.3Maritalsingle2620.6Married8567.5Divorced75.6Widow86.3Having childrenyes11591.3No118.7No. of children1–59172.26–102923.111–1564.8NB: JHS–Junior High School; SHS–Senior High School.The sociodemographic results of the study reported above were almost comparable to surveys conducted on the production ofgowe [10], Akpan [11], and Ablo [9]. All the three survey studies reported that the traditional processing of gowe (a malted and fermented cereal-based beverage from Benin), Akpan (a yoghurt-like cereal product from West Africa), and ablo (West Africa steamed cooked moist bread) was the sole responsibility of women (100%). However, most producers of gowe, akpan, and ablo (52.4%) were between 35 and 30 (55%), 26 and 50 (86.2%), and 25 and 45 (54.5%) years old, respectively, and they had no formal educational.Majority (30.2%) of respondents have been producingaliha for 6 to 10 years followed by 1 to 5 years (26.2%), while the least was 26 to 30 years (Figure 2). Further analyses of the results revealed that those who have been producing for 1 to 10 years were within the age group of below 20 to 39 years. This group also produced more frequently about twice a week and in larger quantities of between 100 and 500 liters. The producers older than 49 years indicated that they produced less frequently in smaller capacities because they could not stand the heat of the production and could also not carry it up and down for sale as they used to, but they rather produced for retailers and on contracts for occasions such as funerals, weddings, naming ceremonies, and marriage engagements. This admission confirmed the tedious nature of aliha production and retail. Furthermore, a few of the respondents confirmed that they preferred to produce on contracts rather than carrying it to the market for sale. More importantly, about 78.6% of the respondents learnt and inherited the business from their family members, 19.8% learnt the production techniques at a paid training, and 1.6% observed and learnt from friends. The 19.8% who went into intensive training were between the ages of 20 and 39, had only primary education, and produced the beverage on large scale (200–500 L).Figure 2
Duration the producers have been inaliha business.These results clearly indicate thataliha processing business is providing livelihood to the producers, particularly the unemployed or uneducated young women, and the production sustainability was extremely high due to the fact that the majority of the processors (56.4%) were young and less than 10 years in the business. Similarly, Sacca et al. [11] demonstrated that 54% of their respondents had less than 5 years in akpan business. They concluded that the production of akpan could be a sustainable venture since more new stakeholders were joining the sector.


### 3.2. Association between Years of Experience, Average Production Capacity, Age, and Education

The relationship between years of experience, average production capacity, age, and education was investigated using Spearman’s rho correlation coefficient. The result summarized in Table3 indicated that the age and educational background of producers had no statistical correlation between frequency of production and production capacity (P<0.05). This implies that education and age of a producer were not factors to determine how frequently they could produce aliha or how much of aliha they could produce within a time period. However, years of experience have a positive bearing on the producer’s production capacity (P<0.05). This suggests that the longer they stay in the business, the more experience they gain to handle larger productions suggesting business growth.Table 3
Relationship between years of experience, average production capacity and age.
PredictorsP valueYears of Exp. VS Average Production Capacity0.024Age VS Years of experience0.292Age VS Average Production Capacity0.516Education VS Years of experience−0.072Education VS Average Production Capacity0.422Correlation is significant at the 0.05 level (2-tailed).


### 3.3. Process Characterization of TraditionalAliha

Maize or corn, sugar, caramel, and water were the major raw materials required for the production ofaliha across all the production centers in the three regions. There were no other raw materials or substitutes when the major raw materials were not available. However, there were four (4) identified variations across the regions and communities of production. These differences were noticed either at the malting stage or during the brewing process and also varied from community to community. The variations existed within the following stages: steeping, germination, milling, and mixing with water, before or during boiling, and fermentation (Figures 3(a)–3(d)).Figure 3
(a) Traditional process ofaliha from producers in Denu and Aflao. (b) Traditional process of aliha from producers in Keta, Dzita and Dzelukope. (c) Traditional process of aliha typical of Anloga and Ho communities. (d) Traditional process of aliha typical of Agozume, Accra and Kumasi.
(a)(b)(c)(d)All the producers surveyed fromAflao and Denu in the Volta region soaked the grain overnight at ambient temperature, allowed to germinate for 2 to 3 days, and the green malts were then sun-dried for 4 to 7 days depending on the weather. Most of the respondents coarse-ground the malt (using corn mill) and mixed with cold water. The mixture was immediately added to a boiling water and allowed to cook for about 3 to 4 hours with constant stirring to avoid burning. The mixture was strained (using muslin) after cooling and allowed to ferment for three days (Figure 3(a)). This process was identified as the original process; hence, a few respondents from other sampling communities such as Dzelukope, Zita, and Keta used it with some alteration (Figure 3(b)). The pictorial production process is displayed in Figure 4.Figure 4
Pictorial indigenous processing ofaliha.The producers fromAnloga and Ho from the Volta region rather preferred to soak the grains for 3 nights and allowed to germinate for 4 days. They also considered to add old aliha during or after boiling before fermentation (Figure 3(c)), a process known as backslopping. They indicated that when the backslopping was done during boiling, the final mixture was fermented for 2 days, but when backslopped after boiling and cooling, the mixture was fermented for only 1 day. This was because the microbial population would die during boiling and will not speed up the fermentation process. Few producers in Anloga added caramel (for color) before boiling and not in the finished beverage as other producers do.Conversely, backslopping was not used intentionally in many of the producing centers for the production ofaliha. They considered old aliha as “spoilt” due to the high acidity (Table 4). Hence, this group needs to be educated on the advantages back-slopping offers.Table 4
The summary of responses on storage and quality control checks ofaliha production process.
QuestionResponseWhat is the water to malt ratio during production?1 kg of corn to 100 L (1 : 100)1 kg of corn to 5 L (1 : 5)1 kg of corn to 6 L (1 : 6)1 kg of corn to 10 L (1 : 10)Not measuredHow do you assess good quality malt?All grains germinate,Green leaves appear,Green leaves must not appear,Shoot must be twice the size of the grainWhat attributes of the product that attracts customers the most?Aroma, taste, color and thickness,How do you tell a bad quality product?When test for foam fails, sourness, tasteless, no aroma, too light, over fermentation, when too much yeast is added, when it’s alcoholicWhat do you do with beverage which is not fresh to be sold/drunk?Add to the newly produced ones and boilReheat with maltIt is disposed offWhat is the average shelf life of the product?3–7 days,7 days,One month,4 or more weeksHow do you preserve the product to extend shelf life?Keep without touching or water dropletsCooking it for longRefrigerate when caramel and sugar are added (all respondents)Keep without sugar (all respondents)It must be well cookedRespondents from Agbozume (Volta region), Accra (Greater Accra), and Kumasi (Ashanti region) ferment their malt slurry (or mash) overnight before boiling. Some preferred to strain before boiling. Instead of milling the malt in the machine, they rather used mortar and pestle to pound for size reduction (coarse powder) and, hence, had their final beverage, which was lighter than those who milled and boiled with the spent malt. They also added caramel before the fermentation process. As a result, instead of the usual 3 days of fermentation, they have their products fully fermented within 2 days (Figure3(d)).Adinsi et al. [10] reported that the expansion of gowe to a new market depends largely on the quality of the final product, which, to date, varies considerably from one producer to another as well as between successive processing operations. Novellie and de Schaepdrijver [12], Haggblade and Holzapfel [13], and Daiber and Taylor [14] held the view that steps such as mashing, cooking, souring, straining, and fermentation for alcoholic beverages have significant biochemical effects on the final product. Hence, technical know-how is needed by the traditional producers to improve upon their product quality and enhance the nutritional and food safety status of their products on the market. Hébert [15] and Nout et al. [16] explained that since the indigenous African beverages are processed rudimentarily, they are considered to be of poor quality with varying end products. Devautour and Nago [17] confirmed that, “because of unstable and erratic quality, the trade in these traditional beverages is extremely limited.”More importantly, 99.2% of the respondents produced their own malt. They indicated that it was cheaper to produce it themselves than to purchase it. They also mentioned that a bad quality malt leads to bad quality final product, hence their decision to produce their own malt. The 0.8% of producers who always purchased the malt indicated that their primary occupation could not allow them to go through the processes involved in malting the maize grains, so they found it convenient to buy.On how they determined whether the malt they produced was of good quality, the responses were: “when all the grains germinate,” “when green leaves begin to appear,” “green leaves must not appear,” and “when the shoot is twice the size of the grain” (Table4), among others. However, the quality that dominated the list was “the green leaves must not appear,” which was correct because the moment the green leaves start appearing, they would begin to use the available nutrients in the grain to develop leaving the beverage with a little or no nutritional value. Additionally, the quality of the grain used for malting must be disease-resistant, as it is necessary for germination.Their view was confirmed by Taylor and Dewar [18] who stated that when the malting process is not properly controlled, but rather allowed to be dependent on the prevailing weather, the quality of the malt will be very low and inconsistent. Palmer [19] and Bamforth and Barclay [20] indicated that, for “the production of malt of a good and consistent quality, it is a prerequisite that a high proportion of the grain must germinate.” Briggs et at. [21] admitted that “not all grains are suitable for malting.” They added that the characteristics to consider for a good quality malt must include “rapid and even germination of the grains, even hydrolysis of the endosperm, and an adequate complement of enzymes after drying/kilning.”The respondents indicated that competing products foraliha are beverages such as sobolo/bissaps, burukutu, asaana, pito, ginger drink and tsukutsuku. Asaana, sobolo, and ginger drinks are predominant in Greater Accra region; tsukutsuku and burukutu are from Volta region, while pito and asaana are from Ashanti region. However, the producers were quick to add that these competing beverages did not pose any threat to their business. Table 5 summarizes the responses of the producers in terms of the social events where they mostly market aliha apart from the regular retail at the main traditional market canters.Table 5
Qualities of final product and occasions wherealiha is patronized.
ParameterYes (%)No (%)Mean ± SDP-valueWhat do you look out for in a good quality final product?Color84 (66.7)41 (32.5)0.68 ± 0.480.001Aroma76 (60.3)50 (39.7)0.60 ± 0.490.001Sourness28 (22.2)98 (77.8)0.22 ± 0.420.001Alcohol34 (27.0)92 (73.0)0.27 ± 0.450.001Others6 (4.8)120 (95.2)0.05 ± 0.210.014Which occasions do you sell the beverage?Funerals117 (92.9)9 (7.1)0.93 ± 0.260.001Weddings114 (90.5)12 (9.5)0.90 ± 0.300.001Naming ceremonies112 (88.9)14 (11.1)0.89 ± 0.320.001Outdooring120 (95.2)6 (4.8)0.95 ± 0.210.001Engagements116 (92.1)10 (7.9)0.92 ± 0.270.001When asked about indices they used to determine the final product quality, the majority of the respondents mentioned color (66.7%) and aroma (60.3%) as the major parameters (Table5). A one-way t-test sample determined that there were significant differences (P=0.00) across the responses (Table 5). Moreover, they maintained that the product attributes that attracted the customers mostly were good taste, good aroma, light color, and thickness of the beverage. This response, however, corresponded to the quality parameters the producers were looking for in their final product. It could be inferred that the producers were aware of the product qualities important to their clients, and they tried to meet them.In responding to parameters, which determine bad quality ofaliha, the respondents cited over fermentation, product being too light, alcoholic, tasteless, sourness, and when testing for foam failed, among others as the main parameters (Table 5).Again, the beverage was largely patronized by all the age groups across all the production communities. Some producers stated categorically that the youth and children mostly patronized the product (data not shown). This indication actually madealiha production a huge business in the Volta Region in particular. Figure 5 presents how aliha was displayed in the markets.Figure 5
Aliha with ice displayed in the Marketing.Similarly, several studies have published that traditional fermented beverages are consumed by all age groups. Bhalla et al. [22] revealed that sorghum beer was mostly consumed by friends and family members. Abegaz et al. [23] also suggested that African indigenous fermented beverages were largely patronized by all people, particularly the low-income consumers who might not be able to purchase industrialized foods or beverages since it is relatively cheaper to produce. Adinsi et al. [10] also maintained that gowe is consumed by all classes of people.In terms of shelf life and quality control checks ofaliha, it was observed that the shelf life of aliha varied from one production community to another. The predominant duration as shelf life of aliha according to the producers included 7 days and between 3 and 7 days under ambient temperature (Table 4). The few who mentioned more than 7 days explained that, at that period, the beverage would not be fresh to be sold but could be reheated with some malt flour and sold the following day or added to the newly prepared one. Some, however, indicated that the shelf life of aliha was dependent on how long it was cooked. This means that the longer the boiling time, the longer the shelf life. However, this practice might also have adverse implications on the nutritional value of the final product and cost of fuel for cooking. They also suggested bad handling practices such as frequent touch, access of condensates into the beverage or fetching with wet containers and adding caramel without refrigeration (Table 4). They emphasized that aliha is unfriendly to water during the period of fermentation.Similar studies on sorghum beer andgowe [10] revealed that the shelf life of sorghum beer was approximately 5–10 days after straining, whilst that of gowe was between 2 and 3 days under room temperature due to the development of molds and increased acidity. They added that, due to the short shelf-life, gowe was not produced in large quantities, as observed in aliha. Contamination by mold and bacteria when not handled effectively could lead to rapid deterioration of the products and consequently shorten the shelf life [24,25].Taylor and Dewar [18] and Taylor and Joustra [26] added that the causes of short shelf-life of a beverage were not limited to what happened during cooking and fermentation periods, but also extended to the time of malting. Furthermore, they explained that “when the degradation of the endosperm, which naturally sustains the development of the growing embryo or germ during germination, has progressed to only a limited extent, the maltster terminates both its degradation and the growth of the germ to produce a shelf-stable product, by drying the grain.”Aliha after the fermentation process is strained and stored in cleaned and dried fermenters or transferred into large vessels (Figure 6). The vessels are then transported to the market and repackaged after addition of sugar and icing for sale.Figure 6
Vessels used for fermentation and marketing ofaliha.


### 3.4. Determination of Changes in Temperature, pH, and Titratable Acidity

The results of changes in temperature, pH, and titratable acidity duringaliha fermentation have been summarized and presented in Figures 7 and 8. Figure 7 reveals that the temperatures change steadily across the various fermentation stages within the 72 hours of fermentation. However, DN2 recorded the lowest gradual mean change in temperature from 30.7°C to 23.6°C within the 72 hours. Statistically, there were, however, no significant differences between changes in temperatures across the various samples (P>0.05).Figure 7
Mean changes in temperature during fermentation ofaliha. ACC-Accra; AG-Anloga; DN-Denu.Figure 8
Mean changes in pH and titratable acidity during 74 h fermentation periods of aliha. (a) Mean changes in pH during fermentation of aliha. (b) Mean changes in titratable acidity during fermentation of aliha, ACC-Accra; AG-Anloga; DN-Denu. Data presented are mean ± SD of triplicates of independent experiments.
(a)(b)Usually, temperature fluctuations affect the growth rate of microorganisms. Temperatures below room temperature are considered beneficial for microbiological quality [27]. The report of Korzeniwska et al. [28] showed that temperatures between 5 and 22°C had no effect on the number of microorganisms studied. Hence, the low temperatures recorded in the final products of this study might also contribute to increase in microbial communities in the beverage.The pH of the samples from ACC and DN1 decreased rapidly from 6.40 to 4.20 and further to 2.60 for 0 H, 24 H, and 72 H, respectively (Figure8). However, there were no significance differences among the changes in pH across the five samples (P>0.05). Similarly, the acidity of samples DN1 increased by about 2.33 units within 24 h and further increased to 2.99 units after 72 hours of incubation. However, sample AG2 registered the slowest (1.0 unit) increase in acidity of the final beverage. These rapid increases in acidity could be as a result of high microbial activities on the sugars to generate lactic acids in the various final beverages.Ray and Joshi [27] reported that the titratable acidity (TA) of kirario increased from 1.04 to 3.15 during fermentation, while the pH exhibited a sharp decline from the initial value of 6.4 to 4.0 within 24 hours and further declined to 3.0 for 48 hours of fermentation, which was similar to the current results. Namugumya and Muyanja, [29] also reported that the mean values of TA of Kwete shot-up from 0.84 to 1.43 with a corresponding mean pH decreased from 4.89 to 3.35 during 72 hours of fermentation, which was slightly different from aliha. Total titratable acidity of mangisi also increased from 0.13 to 0.67%, which resulted in a decrease in pH from 6.10 to 3.98 (Zvauya et al.) [30]. Furthermore, Zvauya, et al. [30] explained that the gradual increase in acidity of the product could be as a result of the activities of LAB breaking down sugars to produce lactic acid.Furthermore, for the nutritional composition, Table6 reveals that DN2 contained the highest amounts of protein, energy, and calcium. This is followed by AG2 (total carbohydrates and ash) and AG1 (phosphorous and fats and oil); therefore, aliha produced by original method (Figure 3(a), DN2) was the most nutritious beverage, followed by aliha produced by backslopping technique (AG1 and 2). AG2 presents the highest alcohol content (0.70 ml/100 ml); hence, aliha is classified as a low alcoholic beverage. Apart from the geographical locations (different regions), which might influence the nutritional composition and alcoholic contents of aliha, the variations are basically as a result of differences in the processing techniques since the same raw materials, and variety, are produced and harvested in the same seasons used for the production.Table 6
Chemical composition of traditional preparedaliha [Fisher’s Least significance difference (LSD)].
ParametersACCAG1AG2DN2DN1Moisture (g/100 g)94.93 ± 0.01b96.31 ± 0.05a93.71 ± 0.01d94.00 ± 0.23c94.86 ± 0.03bProtein (g/100 g)0.33 ± 0.01b0.54 ± 0.57a0.63 ± 0.01ab1.01 ± 0.01a0.36 ± 0.03bAsh (g/100 g)0.09 ± 0.06b0.11 ± 0.01b0.19 ± 0.01a0.12 ± 0.01b0.09 ± 0.00bTotal fats (g/100 g)0.26 ± 0.01ac0.77 ± 0.07a0.22 ± 0.01c0.27 ± 0.01ac0.29 ± 0.00bTotal Carb./fiber (g/100 g)4.39 ± 0.01c2.27 ± 0.02d5.34 ± 0.05a4.60 ± 0.02b4.40 ± 0.01cEnergy (Kcal/100 g)32.00 ± 0.15c33.70 ± 0.31b25.38 ± 0.01d57.70 ± 0.06a21.65 ± 0.20eIron (g/100 g)11.36 ± 0.01a1.30 ± 0.26d10.65 ± 0.01c11.03 ± 0.01b11.36 ± 0.10aCalcium (g/100g)55.21 ± 0.01c1.80 ± 0.15d53.50 ± 0.01a56.75 ± 0.01b56.49 ± 0.80bPhosphorus (g/100 g)14.07 ± 0.01c22.29 ± 2.83a15.83 ± 0.01ac18.67 ± 0.01ab17.65 ± 2.68bAlcohol (ml/100 ml)0.53 ± 0.00c0.53 ± 0.00d0.70 ± 0.00a0.53 ± 0.00c0.53 ± 0.00bNote: Values with different superscripts in the same row are significantly different atp≤0.05. Data presented are mean ± SD of triplicates of independent experiments. ACC-Accra; AG-Anloga; DN-DenuThe nutritional studies of Nigeriapito [31], Tchapalo [32], and Sweet wort of tchapalo [32], which were maize-based beverages, revealed that Nigeria pito contained 5.42 g of proteins, 0.001 g of ash, and 3.4 g carbohydrates; Tchapalo constituted proteins (0.03 g) ash (0.27 g) and carbohydrates (0.53), while Sweet wort of tchapalo contained proteins (2.7 g), ash (0.3 g) and carbohydrates (3.6). However, no calories, fats, and sodium were determined for the three beverages. Comparatively, the mean values of the nutritional contents of the various aliha present aliha as nutritionally better than Nigeria pito, Tchapalo, kunun-zaki [33,34], dolo [35], and burukutu [36]. They were, however, more alcoholic (2.3–5.2%) [37] than aliha (0.56%). Statistically, there were significant differences among the nutritional values (P<0.05) across the production centers (Table 6)


### 3.5. Microbiological Characterization

The microbial community associated with traditional fermentedaliha has been enumerated with the results analyzed and presented in Tables 7 and 8, and Figure 9. The highest counts for AG1, DN2, and AG2 under 0 H, 24 H, and 2 H, respectively, were recorded for Lactobacillus species. The highest counts recorded for Cocci species were from ACC, AG2, and DN2 under 0 H, 24 H, and 72 H, respectively. While fungi (yeasts and mold) recorded its highest count for 0 H, 24 H, and 72 H under AG1, Enterobacteriaceae recorded its highest counts for 0 H, 24 H, and 72 H under AG1, ACC, and ACC (Table 7). It was also interesting to note that fungi and Enterobacteriaceae occurrence increased drastically within 24 hours of incubation but decreased sharply from 24 H to 72 H across all the samples. Particular references could be made to DN2, which has fungi counts increased from 2.26 to 2.95 log cfu/ml and then decreased to 2.40 log cfu/ml, while Enterobacteriaceae increased from 4.53 to 6.85 log cfu/ml within the first 24 h but decreased sharply to 5.23 log cfu/ml under ACC within 48 hours (Table 7). The appearance of Enterobacteriaceae in aliha from the beginning of incubation to the last day might result from the materials used for straining and fetching, open transfer from the cooking pot to fermenters, the containers used as fermenters, and compromising personal hygiene practices.Table 7
Microbial population and occurrence in indigenous fermentedaliha under different hours of production.
Time (h)Sample [Log10 Cfu/Ml]DNIDN2AG1AG2ACCLAB [Lactobacilli]0 H2.63 ± 86.3ab0.00 ± 0.00b2.65 ± 30.9a2.51 ± 6.33a1.88 ± 45.4c24 HR4.04 ± 7.21c4.10 ± 7.21a3.92 ± 7.01a3.96 ± 5.86a4.18 ± 6.71a72 HR4.36 ± 6.71d4.99 ± 7.79a4.08 ± 22.9a5.06 ± 4.07a4.05 ± 7.21aLAB [Cocci]0 HR2.53 ± 2.93a0.00 ± 0.00c1.30 ± 45.4c2.99 ± 3.04b3.69 ± 3.12a24 HR2.91 ± 7.01b3.07 ± 6.33a3.43 ± 5.86ab4.16 ± 4.04b4.08 ± 14.0a72 HR4.28 ± 6.71a5.25 ± 13.8a4.02 ± 14.0d4.99 ± 14.89b4.92 ± 7.79aFUNGI [Yeast and Mold]0 HR2.28 ± 43.0a2.26 ± 1.89b3.11 ± 6.06a2.26 ± 42.9c2.41 ± 6.33c24 HR2.66 ± 7.01a2.95 ± 30.9b4.05 ± 4.04b3.21 ± 3.04b2.79 ± 6.33b72 HR2.41 ± 86.3b2.40 ± 3.04c4.04 ± 22.9c3.23 ± 4.07b2.26 ± 30.9cEnterobacteriaceae0 HR3.78 ± 5.86b4.21 ± 4.04a4.57 ± 14.0c3.71 ± 6.06d53 ± 7.79d24 HR4.23 ± 6.71b5.13 ± 13.8a4.72 ± 7.79c4.95 ± 7.79d6.85 ± 22.9c72 HR4.22 ± 4.07b4.21 ± 14.0a4.23 ± 6.71c4.15 ± 7.21d5.23 ± 86.3c1Values are means of triplicate determinations from three independent trials; ± standard deviations (SD), ACC-Accra; AG-Anloga; DN-Denu. 2Means with same letters and “ab” as superscripts in a row are significantly different (P<0.05).Table 8
Prevalence of mean microbiota for each fermentation period (Log10 cfu/ml).
Sample0 hr24 hr72 hrMean ± SDsig. (2-Tailed)DN13.564.024.264.03 ± 72.430.124DN23.584.054.174.00 ± 56.920.094AG13.493.834.043.85 ± 40.110.094AG23.384.064.803.94 ± 55.140.111ACC3.373.984.143.93 ± 58.090.125ACC-Accra; AG-Anloga; DN-Denu.Figure 9
Occurrence of microbiota in traditional fermented aliha. Note: Values with the same superscripts on the same row are not significantly different atP≤0.05; Data presented are mean ± SD of triplicates of independent experiments. ACC-Accra; AG-Anloga; DN-Denu.These results might be interpreted to mean that the sharp increase in fungi and enteric bacteria within 24 hours of incubation might have resulted from the increase in pH and lowering in titratable acidity (TA), which sought to create favorable environment or conditions for their growth. However, the drastic inhibition of these groups of organisms within 48 hours could also be as a result of the decrease in pH, which led to increase in TA and, hence, made the environment unconducive for their survivals.Moreover, while DN1 and ACC present the first and second highest LAB (Bacilli), both DN1 and DN2 register the first and second highest for LAB (Cocci), respectively (Figure 9). While AG2 recorded the highest occurrence for presumptive fungi followed by DN2, DN2 and DN1 recorded the first and second highest Enterobacteriaceae, respectively. However, under 72 hr, DN1 recorded the highest microbial community, followed by DN2 and the least count by AG1 with their corresponding mean values as [4.03 ± 72.43], [4.00 ± 56.92] and [3.85 ± 40.11] log10·cfu/ml (Table 8). Statistically, there was no significance difference (P>0.05) among the counts across the various samples.Microbial studies onkwete (Namugumya and Muyanja, [29]; kirario (Kunyanga et al. [38] and burukutu beer (Faparusi et al. [39] presented similar results for lactic acid bacterial occurrences. However, while Kunyanga et al. [38] did not report any counts on enteric bacteria, Namugumya and Muyanja, [29] recorded slower decrease in fungi counts in kwete [5.03 ± 0.37 log10·cfu·ml to 4.48 ± 0.01 log10·cfu/ml] within 48 hours of fermentation as compare to fungi numbers in aliha.


## 3.1. Sociodemographic Characterization ofAliha Producers

The results of sociodemographic characteristics ofaliha producers summarized in Table 2 reveal that the majority of the respondents were females (96%), married (67.5%), and had between 1 and 5 (72.2%) children. It was not surprising to notice that almost all the producers were females because cooking traditionally was believed to be the sole responsibility of a woman [9] in most of the African countries including Ghana; hence, the majority of the production of aliha is carried out by females. Further analysis of the data had also proven that the 4% of the producers who were men were largely supported by their wives. Members of this minority group (men) were between the ages of 30 and 39 and had no formal educational. It was also realized that most of the producers who were divorced and single had between 6 and 15 children and were 50 to 60 years old (data not shown). Most of the producers had primary (31%) or no formal education (10%). However, the majority of aliha producers were between 50 and 59 years of age (Table 2). The respondents who had tertiary education (7%) such as university, Polytechnics, Nursing training, and College of education were government employees and engaged in aliha business as a secondary occupation.Table 2
Sociodemographic characteristics ofaliha producers.
ParameterVariableFrequencyPercentGendermale54.0Female12196.0Age˂201310.320–29107.930–391814.340–493124.650–594334.1>60118.7Educationtertiary97.1JHS4334.1SHS2217.5Primary3931.0Others1310.3Maritalsingle2620.6Married8567.5Divorced75.6Widow86.3Having childrenyes11591.3No118.7No. of children1–59172.26–102923.111–1564.8NB: JHS–Junior High School; SHS–Senior High School.The sociodemographic results of the study reported above were almost comparable to surveys conducted on the production ofgowe [10], Akpan [11], and Ablo [9]. All the three survey studies reported that the traditional processing of gowe (a malted and fermented cereal-based beverage from Benin), Akpan (a yoghurt-like cereal product from West Africa), and ablo (West Africa steamed cooked moist bread) was the sole responsibility of women (100%). However, most producers of gowe, akpan, and ablo (52.4%) were between 35 and 30 (55%), 26 and 50 (86.2%), and 25 and 45 (54.5%) years old, respectively, and they had no formal educational.Majority (30.2%) of respondents have been producingaliha for 6 to 10 years followed by 1 to 5 years (26.2%), while the least was 26 to 30 years (Figure 2). Further analyses of the results revealed that those who have been producing for 1 to 10 years were within the age group of below 20 to 39 years. This group also produced more frequently about twice a week and in larger quantities of between 100 and 500 liters. The producers older than 49 years indicated that they produced less frequently in smaller capacities because they could not stand the heat of the production and could also not carry it up and down for sale as they used to, but they rather produced for retailers and on contracts for occasions such as funerals, weddings, naming ceremonies, and marriage engagements. This admission confirmed the tedious nature of aliha production and retail. Furthermore, a few of the respondents confirmed that they preferred to produce on contracts rather than carrying it to the market for sale. More importantly, about 78.6% of the respondents learnt and inherited the business from their family members, 19.8% learnt the production techniques at a paid training, and 1.6% observed and learnt from friends. The 19.8% who went into intensive training were between the ages of 20 and 39, had only primary education, and produced the beverage on large scale (200–500 L).Figure 2
Duration the producers have been inaliha business.These results clearly indicate thataliha processing business is providing livelihood to the producers, particularly the unemployed or uneducated young women, and the production sustainability was extremely high due to the fact that the majority of the processors (56.4%) were young and less than 10 years in the business. Similarly, Sacca et al. [11] demonstrated that 54% of their respondents had less than 5 years in akpan business. They concluded that the production of akpan could be a sustainable venture since more new stakeholders were joining the sector.


## 3.2. Association between Years of Experience, Average Production Capacity, Age, and Education

The relationship between years of experience, average production capacity, age, and education was investigated using Spearman’s rho correlation coefficient. The result summarized in Table3 indicated that the age and educational background of producers had no statistical correlation between frequency of production and production capacity (P<0.05). This implies that education and age of a producer were not factors to determine how frequently they could produce aliha or how much of aliha they could produce within a time period. However, years of experience have a positive bearing on the producer’s production capacity (P<0.05). This suggests that the longer they stay in the business, the more experience they gain to handle larger productions suggesting business growth.Table 3
Relationship between years of experience, average production capacity and age.
PredictorsP valueYears of Exp. VS Average Production Capacity0.024Age VS Years of experience0.292Age VS Average Production Capacity0.516Education VS Years of experience−0.072Education VS Average Production Capacity0.422Correlation is significant at the 0.05 level (2-tailed).


## 3.3. Process Characterization of TraditionalAliha

Maize or corn, sugar, caramel, and water were the major raw materials required for the production ofaliha across all the production centers in the three regions. There were no other raw materials or substitutes when the major raw materials were not available. However, there were four (4) identified variations across the regions and communities of production. These differences were noticed either at the malting stage or during the brewing process and also varied from community to community. The variations existed within the following stages: steeping, germination, milling, and mixing with water, before or during boiling, and fermentation (Figures 3(a)–3(d)).Figure 3
(a) Traditional process ofaliha from producers in Denu and Aflao. (b) Traditional process of aliha from producers in Keta, Dzita and Dzelukope. (c) Traditional process of aliha typical of Anloga and Ho communities. (d) Traditional process of aliha typical of Agozume, Accra and Kumasi.
(a)(b)(c)(d)All the producers surveyed fromAflao and Denu in the Volta region soaked the grain overnight at ambient temperature, allowed to germinate for 2 to 3 days, and the green malts were then sun-dried for 4 to 7 days depending on the weather. Most of the respondents coarse-ground the malt (using corn mill) and mixed with cold water. The mixture was immediately added to a boiling water and allowed to cook for about 3 to 4 hours with constant stirring to avoid burning. The mixture was strained (using muslin) after cooling and allowed to ferment for three days (Figure 3(a)). This process was identified as the original process; hence, a few respondents from other sampling communities such as Dzelukope, Zita, and Keta used it with some alteration (Figure 3(b)). The pictorial production process is displayed in Figure 4.Figure 4
Pictorial indigenous processing ofaliha.The producers fromAnloga and Ho from the Volta region rather preferred to soak the grains for 3 nights and allowed to germinate for 4 days. They also considered to add old aliha during or after boiling before fermentation (Figure 3(c)), a process known as backslopping. They indicated that when the backslopping was done during boiling, the final mixture was fermented for 2 days, but when backslopped after boiling and cooling, the mixture was fermented for only 1 day. This was because the microbial population would die during boiling and will not speed up the fermentation process. Few producers in Anloga added caramel (for color) before boiling and not in the finished beverage as other producers do.Conversely, backslopping was not used intentionally in many of the producing centers for the production ofaliha. They considered old aliha as “spoilt” due to the high acidity (Table 4). Hence, this group needs to be educated on the advantages back-slopping offers.Table 4
The summary of responses on storage and quality control checks ofaliha production process.
QuestionResponseWhat is the water to malt ratio during production?1 kg of corn to 100 L (1 : 100)1 kg of corn to 5 L (1 : 5)1 kg of corn to 6 L (1 : 6)1 kg of corn to 10 L (1 : 10)Not measuredHow do you assess good quality malt?All grains germinate,Green leaves appear,Green leaves must not appear,Shoot must be twice the size of the grainWhat attributes of the product that attracts customers the most?Aroma, taste, color and thickness,How do you tell a bad quality product?When test for foam fails, sourness, tasteless, no aroma, too light, over fermentation, when too much yeast is added, when it’s alcoholicWhat do you do with beverage which is not fresh to be sold/drunk?Add to the newly produced ones and boilReheat with maltIt is disposed offWhat is the average shelf life of the product?3–7 days,7 days,One month,4 or more weeksHow do you preserve the product to extend shelf life?Keep without touching or water dropletsCooking it for longRefrigerate when caramel and sugar are added (all respondents)Keep without sugar (all respondents)It must be well cookedRespondents from Agbozume (Volta region), Accra (Greater Accra), and Kumasi (Ashanti region) ferment their malt slurry (or mash) overnight before boiling. Some preferred to strain before boiling. Instead of milling the malt in the machine, they rather used mortar and pestle to pound for size reduction (coarse powder) and, hence, had their final beverage, which was lighter than those who milled and boiled with the spent malt. They also added caramel before the fermentation process. As a result, instead of the usual 3 days of fermentation, they have their products fully fermented within 2 days (Figure3(d)).Adinsi et al. [10] reported that the expansion of gowe to a new market depends largely on the quality of the final product, which, to date, varies considerably from one producer to another as well as between successive processing operations. Novellie and de Schaepdrijver [12], Haggblade and Holzapfel [13], and Daiber and Taylor [14] held the view that steps such as mashing, cooking, souring, straining, and fermentation for alcoholic beverages have significant biochemical effects on the final product. Hence, technical know-how is needed by the traditional producers to improve upon their product quality and enhance the nutritional and food safety status of their products on the market. Hébert [15] and Nout et al. [16] explained that since the indigenous African beverages are processed rudimentarily, they are considered to be of poor quality with varying end products. Devautour and Nago [17] confirmed that, “because of unstable and erratic quality, the trade in these traditional beverages is extremely limited.”More importantly, 99.2% of the respondents produced their own malt. They indicated that it was cheaper to produce it themselves than to purchase it. They also mentioned that a bad quality malt leads to bad quality final product, hence their decision to produce their own malt. The 0.8% of producers who always purchased the malt indicated that their primary occupation could not allow them to go through the processes involved in malting the maize grains, so they found it convenient to buy.On how they determined whether the malt they produced was of good quality, the responses were: “when all the grains germinate,” “when green leaves begin to appear,” “green leaves must not appear,” and “when the shoot is twice the size of the grain” (Table4), among others. However, the quality that dominated the list was “the green leaves must not appear,” which was correct because the moment the green leaves start appearing, they would begin to use the available nutrients in the grain to develop leaving the beverage with a little or no nutritional value. Additionally, the quality of the grain used for malting must be disease-resistant, as it is necessary for germination.Their view was confirmed by Taylor and Dewar [18] who stated that when the malting process is not properly controlled, but rather allowed to be dependent on the prevailing weather, the quality of the malt will be very low and inconsistent. Palmer [19] and Bamforth and Barclay [20] indicated that, for “the production of malt of a good and consistent quality, it is a prerequisite that a high proportion of the grain must germinate.” Briggs et at. [21] admitted that “not all grains are suitable for malting.” They added that the characteristics to consider for a good quality malt must include “rapid and even germination of the grains, even hydrolysis of the endosperm, and an adequate complement of enzymes after drying/kilning.”The respondents indicated that competing products foraliha are beverages such as sobolo/bissaps, burukutu, asaana, pito, ginger drink and tsukutsuku. Asaana, sobolo, and ginger drinks are predominant in Greater Accra region; tsukutsuku and burukutu are from Volta region, while pito and asaana are from Ashanti region. However, the producers were quick to add that these competing beverages did not pose any threat to their business. Table 5 summarizes the responses of the producers in terms of the social events where they mostly market aliha apart from the regular retail at the main traditional market canters.Table 5
Qualities of final product and occasions wherealiha is patronized.
ParameterYes (%)No (%)Mean ± SDP-valueWhat do you look out for in a good quality final product?Color84 (66.7)41 (32.5)0.68 ± 0.480.001Aroma76 (60.3)50 (39.7)0.60 ± 0.490.001Sourness28 (22.2)98 (77.8)0.22 ± 0.420.001Alcohol34 (27.0)92 (73.0)0.27 ± 0.450.001Others6 (4.8)120 (95.2)0.05 ± 0.210.014Which occasions do you sell the beverage?Funerals117 (92.9)9 (7.1)0.93 ± 0.260.001Weddings114 (90.5)12 (9.5)0.90 ± 0.300.001Naming ceremonies112 (88.9)14 (11.1)0.89 ± 0.320.001Outdooring120 (95.2)6 (4.8)0.95 ± 0.210.001Engagements116 (92.1)10 (7.9)0.92 ± 0.270.001When asked about indices they used to determine the final product quality, the majority of the respondents mentioned color (66.7%) and aroma (60.3%) as the major parameters (Table5). A one-way t-test sample determined that there were significant differences (P=0.00) across the responses (Table 5). Moreover, they maintained that the product attributes that attracted the customers mostly were good taste, good aroma, light color, and thickness of the beverage. This response, however, corresponded to the quality parameters the producers were looking for in their final product. It could be inferred that the producers were aware of the product qualities important to their clients, and they tried to meet them.In responding to parameters, which determine bad quality ofaliha, the respondents cited over fermentation, product being too light, alcoholic, tasteless, sourness, and when testing for foam failed, among others as the main parameters (Table 5).Again, the beverage was largely patronized by all the age groups across all the production communities. Some producers stated categorically that the youth and children mostly patronized the product (data not shown). This indication actually madealiha production a huge business in the Volta Region in particular. Figure 5 presents how aliha was displayed in the markets.Figure 5
Aliha with ice displayed in the Marketing.Similarly, several studies have published that traditional fermented beverages are consumed by all age groups. Bhalla et al. [22] revealed that sorghum beer was mostly consumed by friends and family members. Abegaz et al. [23] also suggested that African indigenous fermented beverages were largely patronized by all people, particularly the low-income consumers who might not be able to purchase industrialized foods or beverages since it is relatively cheaper to produce. Adinsi et al. [10] also maintained that gowe is consumed by all classes of people.In terms of shelf life and quality control checks ofaliha, it was observed that the shelf life of aliha varied from one production community to another. The predominant duration as shelf life of aliha according to the producers included 7 days and between 3 and 7 days under ambient temperature (Table 4). The few who mentioned more than 7 days explained that, at that period, the beverage would not be fresh to be sold but could be reheated with some malt flour and sold the following day or added to the newly prepared one. Some, however, indicated that the shelf life of aliha was dependent on how long it was cooked. This means that the longer the boiling time, the longer the shelf life. However, this practice might also have adverse implications on the nutritional value of the final product and cost of fuel for cooking. They also suggested bad handling practices such as frequent touch, access of condensates into the beverage or fetching with wet containers and adding caramel without refrigeration (Table 4). They emphasized that aliha is unfriendly to water during the period of fermentation.Similar studies on sorghum beer andgowe [10] revealed that the shelf life of sorghum beer was approximately 5–10 days after straining, whilst that of gowe was between 2 and 3 days under room temperature due to the development of molds and increased acidity. They added that, due to the short shelf-life, gowe was not produced in large quantities, as observed in aliha. Contamination by mold and bacteria when not handled effectively could lead to rapid deterioration of the products and consequently shorten the shelf life [24,25].Taylor and Dewar [18] and Taylor and Joustra [26] added that the causes of short shelf-life of a beverage were not limited to what happened during cooking and fermentation periods, but also extended to the time of malting. Furthermore, they explained that “when the degradation of the endosperm, which naturally sustains the development of the growing embryo or germ during germination, has progressed to only a limited extent, the maltster terminates both its degradation and the growth of the germ to produce a shelf-stable product, by drying the grain.”Aliha after the fermentation process is strained and stored in cleaned and dried fermenters or transferred into large vessels (Figure 6). The vessels are then transported to the market and repackaged after addition of sugar and icing for sale.Figure 6
Vessels used for fermentation and marketing ofaliha.


## 3.4. Determination of Changes in Temperature, pH, and Titratable Acidity

The results of changes in temperature, pH, and titratable acidity duringaliha fermentation have been summarized and presented in Figures 7 and 8. Figure 7 reveals that the temperatures change steadily across the various fermentation stages within the 72 hours of fermentation. However, DN2 recorded the lowest gradual mean change in temperature from 30.7°C to 23.6°C within the 72 hours. Statistically, there were, however, no significant differences between changes in temperatures across the various samples (P>0.05).Figure 7
Mean changes in temperature during fermentation ofaliha. ACC-Accra; AG-Anloga; DN-Denu.Figure 8
Mean changes in pH and titratable acidity during 74 h fermentation periods of aliha. (a) Mean changes in pH during fermentation of aliha. (b) Mean changes in titratable acidity during fermentation of aliha, ACC-Accra; AG-Anloga; DN-Denu. Data presented are mean ± SD of triplicates of independent experiments.
(a)(b)Usually, temperature fluctuations affect the growth rate of microorganisms. Temperatures below room temperature are considered beneficial for microbiological quality [27]. The report of Korzeniwska et al. [28] showed that temperatures between 5 and 22°C had no effect on the number of microorganisms studied. Hence, the low temperatures recorded in the final products of this study might also contribute to increase in microbial communities in the beverage.The pH of the samples from ACC and DN1 decreased rapidly from 6.40 to 4.20 and further to 2.60 for 0 H, 24 H, and 72 H, respectively (Figure8). However, there were no significance differences among the changes in pH across the five samples (P>0.05). Similarly, the acidity of samples DN1 increased by about 2.33 units within 24 h and further increased to 2.99 units after 72 hours of incubation. However, sample AG2 registered the slowest (1.0 unit) increase in acidity of the final beverage. These rapid increases in acidity could be as a result of high microbial activities on the sugars to generate lactic acids in the various final beverages.Ray and Joshi [27] reported that the titratable acidity (TA) of kirario increased from 1.04 to 3.15 during fermentation, while the pH exhibited a sharp decline from the initial value of 6.4 to 4.0 within 24 hours and further declined to 3.0 for 48 hours of fermentation, which was similar to the current results. Namugumya and Muyanja, [29] also reported that the mean values of TA of Kwete shot-up from 0.84 to 1.43 with a corresponding mean pH decreased from 4.89 to 3.35 during 72 hours of fermentation, which was slightly different from aliha. Total titratable acidity of mangisi also increased from 0.13 to 0.67%, which resulted in a decrease in pH from 6.10 to 3.98 (Zvauya et al.) [30]. Furthermore, Zvauya, et al. [30] explained that the gradual increase in acidity of the product could be as a result of the activities of LAB breaking down sugars to produce lactic acid.Furthermore, for the nutritional composition, Table6 reveals that DN2 contained the highest amounts of protein, energy, and calcium. This is followed by AG2 (total carbohydrates and ash) and AG1 (phosphorous and fats and oil); therefore, aliha produced by original method (Figure 3(a), DN2) was the most nutritious beverage, followed by aliha produced by backslopping technique (AG1 and 2). AG2 presents the highest alcohol content (0.70 ml/100 ml); hence, aliha is classified as a low alcoholic beverage. Apart from the geographical locations (different regions), which might influence the nutritional composition and alcoholic contents of aliha, the variations are basically as a result of differences in the processing techniques since the same raw materials, and variety, are produced and harvested in the same seasons used for the production.Table 6
Chemical composition of traditional preparedaliha [Fisher’s Least significance difference (LSD)].
ParametersACCAG1AG2DN2DN1Moisture (g/100 g)94.93 ± 0.01b96.31 ± 0.05a93.71 ± 0.01d94.00 ± 0.23c94.86 ± 0.03bProtein (g/100 g)0.33 ± 0.01b0.54 ± 0.57a0.63 ± 0.01ab1.01 ± 0.01a0.36 ± 0.03bAsh (g/100 g)0.09 ± 0.06b0.11 ± 0.01b0.19 ± 0.01a0.12 ± 0.01b0.09 ± 0.00bTotal fats (g/100 g)0.26 ± 0.01ac0.77 ± 0.07a0.22 ± 0.01c0.27 ± 0.01ac0.29 ± 0.00bTotal Carb./fiber (g/100 g)4.39 ± 0.01c2.27 ± 0.02d5.34 ± 0.05a4.60 ± 0.02b4.40 ± 0.01cEnergy (Kcal/100 g)32.00 ± 0.15c33.70 ± 0.31b25.38 ± 0.01d57.70 ± 0.06a21.65 ± 0.20eIron (g/100 g)11.36 ± 0.01a1.30 ± 0.26d10.65 ± 0.01c11.03 ± 0.01b11.36 ± 0.10aCalcium (g/100g)55.21 ± 0.01c1.80 ± 0.15d53.50 ± 0.01a56.75 ± 0.01b56.49 ± 0.80bPhosphorus (g/100 g)14.07 ± 0.01c22.29 ± 2.83a15.83 ± 0.01ac18.67 ± 0.01ab17.65 ± 2.68bAlcohol (ml/100 ml)0.53 ± 0.00c0.53 ± 0.00d0.70 ± 0.00a0.53 ± 0.00c0.53 ± 0.00bNote: Values with different superscripts in the same row are significantly different atp≤0.05. Data presented are mean ± SD of triplicates of independent experiments. ACC-Accra; AG-Anloga; DN-DenuThe nutritional studies of Nigeriapito [31], Tchapalo [32], and Sweet wort of tchapalo [32], which were maize-based beverages, revealed that Nigeria pito contained 5.42 g of proteins, 0.001 g of ash, and 3.4 g carbohydrates; Tchapalo constituted proteins (0.03 g) ash (0.27 g) and carbohydrates (0.53), while Sweet wort of tchapalo contained proteins (2.7 g), ash (0.3 g) and carbohydrates (3.6). However, no calories, fats, and sodium were determined for the three beverages. Comparatively, the mean values of the nutritional contents of the various aliha present aliha as nutritionally better than Nigeria pito, Tchapalo, kunun-zaki [33,34], dolo [35], and burukutu [36]. They were, however, more alcoholic (2.3–5.2%) [37] than aliha (0.56%). Statistically, there were significant differences among the nutritional values (P<0.05) across the production centers (Table 6)


## 3.5. Microbiological Characterization

The microbial community associated with traditional fermentedaliha has been enumerated with the results analyzed and presented in Tables 7 and 8, and Figure 9. The highest counts for AG1, DN2, and AG2 under 0 H, 24 H, and 2 H, respectively, were recorded for Lactobacillus species. The highest counts recorded for Cocci species were from ACC, AG2, and DN2 under 0 H, 24 H, and 72 H, respectively. While fungi (yeasts and mold) recorded its highest count for 0 H, 24 H, and 72 H under AG1, Enterobacteriaceae recorded its highest counts for 0 H, 24 H, and 72 H under AG1, ACC, and ACC (Table 7). It was also interesting to note that fungi and Enterobacteriaceae occurrence increased drastically within 24 hours of incubation but decreased sharply from 24 H to 72 H across all the samples. Particular references could be made to DN2, which has fungi counts increased from 2.26 to 2.95 log cfu/ml and then decreased to 2.40 log cfu/ml, while Enterobacteriaceae increased from 4.53 to 6.85 log cfu/ml within the first 24 h but decreased sharply to 5.23 log cfu/ml under ACC within 48 hours (Table 7). The appearance of Enterobacteriaceae in aliha from the beginning of incubation to the last day might result from the materials used for straining and fetching, open transfer from the cooking pot to fermenters, the containers used as fermenters, and compromising personal hygiene practices.Table 7
Microbial population and occurrence in indigenous fermentedaliha under different hours of production.
Time (h)Sample [Log10 Cfu/Ml]DNIDN2AG1AG2ACCLAB [Lactobacilli]0 H2.63 ± 86.3ab0.00 ± 0.00b2.65 ± 30.9a2.51 ± 6.33a1.88 ± 45.4c24 HR4.04 ± 7.21c4.10 ± 7.21a3.92 ± 7.01a3.96 ± 5.86a4.18 ± 6.71a72 HR4.36 ± 6.71d4.99 ± 7.79a4.08 ± 22.9a5.06 ± 4.07a4.05 ± 7.21aLAB [Cocci]0 HR2.53 ± 2.93a0.00 ± 0.00c1.30 ± 45.4c2.99 ± 3.04b3.69 ± 3.12a24 HR2.91 ± 7.01b3.07 ± 6.33a3.43 ± 5.86ab4.16 ± 4.04b4.08 ± 14.0a72 HR4.28 ± 6.71a5.25 ± 13.8a4.02 ± 14.0d4.99 ± 14.89b4.92 ± 7.79aFUNGI [Yeast and Mold]0 HR2.28 ± 43.0a2.26 ± 1.89b3.11 ± 6.06a2.26 ± 42.9c2.41 ± 6.33c24 HR2.66 ± 7.01a2.95 ± 30.9b4.05 ± 4.04b3.21 ± 3.04b2.79 ± 6.33b72 HR2.41 ± 86.3b2.40 ± 3.04c4.04 ± 22.9c3.23 ± 4.07b2.26 ± 30.9cEnterobacteriaceae0 HR3.78 ± 5.86b4.21 ± 4.04a4.57 ± 14.0c3.71 ± 6.06d53 ± 7.79d24 HR4.23 ± 6.71b5.13 ± 13.8a4.72 ± 7.79c4.95 ± 7.79d6.85 ± 22.9c72 HR4.22 ± 4.07b4.21 ± 14.0a4.23 ± 6.71c4.15 ± 7.21d5.23 ± 86.3c1Values are means of triplicate determinations from three independent trials; ± standard deviations (SD), ACC-Accra; AG-Anloga; DN-Denu. 2Means with same letters and “ab” as superscripts in a row are significantly different (P<0.05).Table 8
Prevalence of mean microbiota for each fermentation period (Log10 cfu/ml).
Sample0 hr24 hr72 hrMean ± SDsig. (2-Tailed)DN13.564.024.264.03 ± 72.430.124DN23.584.054.174.00 ± 56.920.094AG13.493.834.043.85 ± 40.110.094AG23.384.064.803.94 ± 55.140.111ACC3.373.984.143.93 ± 58.090.125ACC-Accra; AG-Anloga; DN-Denu.Figure 9
Occurrence of microbiota in traditional fermented aliha. Note: Values with the same superscripts on the same row are not significantly different atP≤0.05; Data presented are mean ± SD of triplicates of independent experiments. ACC-Accra; AG-Anloga; DN-Denu.These results might be interpreted to mean that the sharp increase in fungi and enteric bacteria within 24 hours of incubation might have resulted from the increase in pH and lowering in titratable acidity (TA), which sought to create favorable environment or conditions for their growth. However, the drastic inhibition of these groups of organisms within 48 hours could also be as a result of the decrease in pH, which led to increase in TA and, hence, made the environment unconducive for their survivals.Moreover, while DN1 and ACC present the first and second highest LAB (Bacilli), both DN1 and DN2 register the first and second highest for LAB (Cocci), respectively (Figure 9). While AG2 recorded the highest occurrence for presumptive fungi followed by DN2, DN2 and DN1 recorded the first and second highest Enterobacteriaceae, respectively. However, under 72 hr, DN1 recorded the highest microbial community, followed by DN2 and the least count by AG1 with their corresponding mean values as [4.03 ± 72.43], [4.00 ± 56.92] and [3.85 ± 40.11] log10·cfu/ml (Table 8). Statistically, there was no significance difference (P>0.05) among the counts across the various samples.Microbial studies onkwete (Namugumya and Muyanja, [29]; kirario (Kunyanga et al. [38] and burukutu beer (Faparusi et al. [39] presented similar results for lactic acid bacterial occurrences. However, while Kunyanga et al. [38] did not report any counts on enteric bacteria, Namugumya and Muyanja, [29] recorded slower decrease in fungi counts in kwete [5.03 ± 0.37 log10·cfu·ml to 4.48 ± 0.01 log10·cfu/ml] within 48 hours of fermentation as compare to fungi numbers in aliha.


## 4. Conclusion

There were four mainaliha production processes identified across the three production regions. These differences were identified throughout the production chain, starting from soaking to fermentation. This diversity contributes to the inconsistencies in the final beverage and must be ironed out by developing a standard operation procedure (SOP) to be used for the production. This will however pave the way for industrializing the beverage. The age group of the producers was a factor that gives the beverage not only a lasting future, but also a viable venture.The nutritional analysis also revealed thataliha produced by “original method” was the best followed by backslopping technique; however, aliha produced by “original method” was highly contaminated as compared to backslopping technique. Hence, using defined starter cultures to develop a SOP will be a better option for safety and to reduce the duration of production. Apart from the mean changes in titratable acidities of all the samples, which varied significantly within the 72 hours of fermentation, and no significant difference (P>0.05) existed among temperature and pH. Moreover, as the pH decreased, titratable acidity increased leading to a significant decline in Enterobacteriaceae and fungi counts and massive increase in lactic acid bacteria counts in the final beverage across the production centers. The decrease in Enteric bacterial and fungal counts will lead to product safety, while the increase in the lactic acid bacteria will contribute to enhanced organoleptic properties of the final beverage and, hence, the need to identify the group of the LAB, characterize them and the most suitable strains of the dominant species used as starters for upscaling the production process.



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*Source: 5604342-2022-07-31.xml*