# Utilization of Kañawa (Chenopodium pallidicaule Aellen) Flour in Pasta Making

Authors: Mariela C. Bustos; María Isabel Ramos; Gabriela T. Pérez; Alberto E. León
Journal: Journal of Chemistry
 (2019)

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## Abstract

Kañawa (Chenopodium pallidicaule Aellen) is an Andean crop harvested in Bolivia and Perú. Because of the characteristics and properties of kañawa seed, its flour can be used to replace partially wheat flour in pasta to increase its nutritional value. The objective of this study was to investigate the production of fiber- and protein-enriched pasta made with wheat and kañawa blends. The effect of the substitution level of wheat by kañawa flour on pasta quality was evaluated taking into account the influence of kañawa composition on starch behavior and gluten network formation. Proximal composition, thermal behavior, and pasting properties of kañawa and wheat flours were determined. Pasta was made from wheat flour (control) replacing 10, 20, and 30% of wheat by kañawa flour from L1 and L2 ecotypes. Water absorption and cooking loss were increased showing the deleterious effect of kañawa flour on pasta quality, but the L1 ecotype showed better performance in cooking properties. Kañawa pasta firmness and chewiness decreased with the kañawa content increase; however, the L1 ecotype did not modify the firmness when 10 and 20% were included in pasta. Both kañawa flours improved the nutritional quality of pasta, increasing the dietary fiber content and protein quality.


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## Body

## 1. Introduction

Kañawa or kañiwa (Chenopodium pallidicaule Aellen) is an annual herbaceous plant from the Titicaca Lake surrounding area. Nowadays, it is cultivated in small plots in Bolivia, Ecuador, and Perú at elevations of up to 4400 m in dry desert and semidesert climates. In Bolivia, kañawa is cultivated in La Paz and Oruro districts. Outside the Altiplano, the plant is sporadically cultivated only at very high elevations [1]. The adaptation of a group of plants to a particular environment is considered to be a different ecotype.Kañawa was used as food by Andean people before the Spanish conquest [2]. The seeds are toasted, ground into flour, and consumed as food or used to make soup, bread, and cakes. Kañawa grain has been identified as a very promising food crop because of its nutritive value, as judged by its protein, lipid, mineral, and dietary fiber contents, as well as by its essential amino acid composition with high lysine content [3, 4]. Despite its similarity with quinoa and its even higher nutritional value, kañawa consumption is low because South America population preferences are influenced by European nutritional habits [5], although in Bolivia and Peru, it is usually consumed [4]; hence, there are few studies about kañawa.Pasta is a popular food because of its sensory appeal, versatility, low cost, ease of preparation, and excellent dried storage stability. It is possible to vary the choice of the ingredients involved in the pasta manufacture to obtain a wide range of pasta products. So, it is necessary to evaluate in what way a change in formulation affects cooking properties since these are an important factor that influence the product quality [6]. Several studies have been carried out to improve the nutritional quality of pasta where high protein quality flours or dietary fiber [7–9] were added. High-protein plant materials are derived mainly from soybean, pea, lupine, amaranth, quinoa, and chick pea, all of which can be used as isolates and flours or in their concentrated form.On the basis of available lysine, protein utilization, and protein efficiency ratio, the values for Andean crops such as amaranth and quinoa proteins are definitely higher as compared to cereal grains and are similar to those of casein [10, 11]. Kañawa is also rich in oil containing mainly unsaturated fatty acids [4, 12], and it has a high content of dietary fiber especially of the insoluble fraction [3]. Some authors have reported high antioxidant capacity and phenolic compounds in kañawa, quinoa, and amaranth grains, usually associated with health benefits [13, 14]. In addition, Kañawa has an advantage with respect to its relative quinoa because it has no antinutritional components as saponin and it can be used directly as food without washing. Despite the nutritional properties of Andean grains, only in the last few years, some studies have been focused on the development of bakery goods [15, 16]. Only a scarce information has been found regarding the use of Andean crops in pasta making processes, particularly in gluten-free products [17, 18].Because of the characteristics and properties of kañawa seed, its flour can be used to partially replace wheat flour in baked goods and pasta, increasing their nutritional value; however, only the inclusion of flour other than wheat in pasta making will modify the protein-starch matrix responsible for pasta-cooking behavior and texture profile [6]. The aim of this study was to investigate the production of fiber- and protein-enriched pasta made with wheat and kañawa blends. The effect of the substitution level of wheat by kañawa flour on pasta quality was evaluated taking into account the influence of kañawa composition on starch behavior and gluten network formation.


## 2. Materials and Methods

### 2.1. Materials

Commercial medium-strength wheat flour was provided by a local milling company (Industrias Alimenticias Tiranti SRL, Argentina). Two different ecotypes of Kañawa flour (L1 and L2) were used. L1 and L2 ecotypes came from Quipaquipani and Jalsuri communities of Viacha city, in the Bolivian Central Altiplano, and were provided by the germplasm bank of PROINPA. Grains were milled in a hammer mill to obtain whole flour from each sample that pass through a 60 mesh sieve.


### 2.2. Methods

#### 2.2.1. Flour Composition

Moisture, protein, lipid and ash content of wheat and kañawa flours were determined according to official methods [19]. Total dietary fiber content was determined according to method 32-05 [19] using a multienzymatic kit (Megazyme, Ireland) and total crude fiber by using method 32-10 [19]. Water retention capacity was determined in the three flours following method 56-11 [19]. All analyses were performed in duplicate.


#### 2.2.2. Differential Scanning Calorimetry

Differential scanning calorimetry measurements were performed using a DSC 823 (Mettler-Toledo, Switzerland). Flour samples were weighed into aluminum pans of 100 μl capacity, and distilled water was added until the flour/water ratio was 1 : 4. The samples were allowed to equilibrate for 18 h before analysis. Indium was used to calibrate the DSC, and an empty pan was used as a reference. Pans were sealed and then were heated from 25°C to 120°C at a rate of 10°C/min. Onset temperature (To), peak temperature (Tp), conclusion temperature (Tc), and enthalpy of gelatinization were determined. Heat enthalpy of gelatinization was calculated on dry solid basis.


#### 2.2.3. Pasting Properties (RVA)

Pasting properties of kañawa flours and wheat-kañawa flour blends were determined following the standard Newport Scientific Method 1 (STD1). The heating cycle was 50 to 95°C in 282 s, holding at 95°C for 150 s and then cooling to 50°C. The RVA studies were carried out using 3.0 g of starch and 25 ml of water in an aluminum canister. The parameters recorded were pasting temperature (Tp), peak viscosity (PV), final viscosity (FV), breakdown (BD), and setback (SB).


#### 2.2.4. Pasta-Making

Pasta was made using commercial wheat flour, water, and kañawa flour from two different ecotypes. Kañawa flours were incorporated into recipes by replacing wheat flour in three proportions (w/w): 10, 20, and 30%. An additional sample with no kañawa flour was also prepared as a control. Pasta was prepared from 50 g of flour, 500 mg of NaCl, and distilled water according to Bustos et al. [4]. Briefly, the dough was sheeted using a laboratory sheeting machine with a final pass through a roll obtaining a 0.90 mm thick sheet, and then, it was cut through cutting attachment into strips of approximately 2 mm wide and 15 cm long. Pasta was then dried in two steps, the first one was 30 min at 30°C without controlling humidity in an air convection drier and the second step was performed at 45°C in a humidity-controlled (75%) drier for 17.5 h. The samples were wrapped in cling-film and stored in airtight containers at room temperature until needed.


### 2.3. Pasta Quality Parameters

#### 2.3.1. Cooking Procedure

All cooking tests were performed in duplicate. Pasta (4 g) was broken into pieces of 5 cm and cooked in boiling distilled water (200 mL). Boiling was maintained for the total cooking period. The optimum cooking time was considered to be the time when the inner white core of the pasta disappeared after cross-cutting it with a razor blade according to AACC [19] at 1 min intervals. After cooking at optimum time and draining, the samples were analyzed for swelling index, water absorption, textural properties, color, total dietary fiber, and microstructure. Cooking water was used for determination of cooking losses.Swelling index of cooked pasta was evaluated by drying pasta samples to constant weight at 105°C, expressed as (weight of cooked product (W1) − weight after drying (W2))/weight after drying (W2) [7].Water absorption of drained pasta was determined as ((weight of cooked pasta (W3) − weight of raw pasta (W4))/weight of raw pasta (W4)) × 100 [7].Cooking loss in the cooking water collected from each sample was determined by evaporation to constant weight in an air oven at 105°C. The residue was weighed and reported as percentage of the original pasta sample [7].


#### 2.3.2. Texture of Cooked Pasta

To perform a TPA analysis, a Texture Analyser TA.XT2i (Stable Micro Systems, Godalming, UK) equipped with a Windows version of the Texture Expert Software package was used. The TA.XT2i was fitted with a 25 kg load cell. Samples were collected by soaking in cold water for 20 s, and excess water was removed by lightly patting between paper towels. One sample was placed centrally under an HDP/PFS pasta firmness-stickiness probe, on a flat aluminum platform base. The probe compressed the pasta samples at a rate of 2.0 mm/s to 70% strain, and the probe was retracted and followed by a second compression cycle after 2 s. Five replicates from two different sets of sheeting were analyzed and averaged. The parameters recorded were hardness, chewiness, cohesiveness, springiness, and resilience.


#### 2.3.3. Scanning Electron Microscopy (SEM)

The microstructure of transversely fractured cooked pasta was investigated by SEM. Small portions of cooked pasta were cut with a razor blade and fixed in glutaraldehyde for 2 h and embedded in a graded acetone series (250, 500, 750, and 800 g kg−1) for 20 min at each gradation. Finally, they were embedded in pure acetone at three consecutive 20 min intervals to ensure full dehydration. Samples were dried by critical point. Critical point drying allows acetone removal in CO2 without surface tension force that may distort the sample. Dehydrated samples were coated with gold particles for 4 min. The images were taken using a Jeol 35 CF (Japan) scanning electron microscope with a 6 kV acceleration voltage. The micrographs were taken using 3000x magnification.


### 2.4. Nutritional Parameters

Total dietary fiber was determined in cooked and dried pasta samples according to method 32-05 [19]. Two replicates from two different sets of pasta were analyzed.Total protein of cooked pasta was determined in duplicates by the Kjeldahl method, and the nitrogen conversion factor used was 5.7 for wheat and enriched pasta; values were expressed in dry basis.


### 2.5. Statistical Analysis

Results were expressed as the mean of two replicates ± SD. Data were analyzed by ANOVA, and results were compared by Fisher’s test at a significance level of 0.05, while the relationship between measured parameters was assessed by Pearson’s test (significance level atp<0.05). All analyses were performed using the INFOSTAT statistical software.


## 2.1. Materials

Commercial medium-strength wheat flour was provided by a local milling company (Industrias Alimenticias Tiranti SRL, Argentina). Two different ecotypes of Kañawa flour (L1 and L2) were used. L1 and L2 ecotypes came from Quipaquipani and Jalsuri communities of Viacha city, in the Bolivian Central Altiplano, and were provided by the germplasm bank of PROINPA. Grains were milled in a hammer mill to obtain whole flour from each sample that pass through a 60 mesh sieve.


## 2.2. Methods

### 2.2.1. Flour Composition

Moisture, protein, lipid and ash content of wheat and kañawa flours were determined according to official methods [19]. Total dietary fiber content was determined according to method 32-05 [19] using a multienzymatic kit (Megazyme, Ireland) and total crude fiber by using method 32-10 [19]. Water retention capacity was determined in the three flours following method 56-11 [19]. All analyses were performed in duplicate.


### 2.2.2. Differential Scanning Calorimetry

Differential scanning calorimetry measurements were performed using a DSC 823 (Mettler-Toledo, Switzerland). Flour samples were weighed into aluminum pans of 100 μl capacity, and distilled water was added until the flour/water ratio was 1 : 4. The samples were allowed to equilibrate for 18 h before analysis. Indium was used to calibrate the DSC, and an empty pan was used as a reference. Pans were sealed and then were heated from 25°C to 120°C at a rate of 10°C/min. Onset temperature (To), peak temperature (Tp), conclusion temperature (Tc), and enthalpy of gelatinization were determined. Heat enthalpy of gelatinization was calculated on dry solid basis.


### 2.2.3. Pasting Properties (RVA)

Pasting properties of kañawa flours and wheat-kañawa flour blends were determined following the standard Newport Scientific Method 1 (STD1). The heating cycle was 50 to 95°C in 282 s, holding at 95°C for 150 s and then cooling to 50°C. The RVA studies were carried out using 3.0 g of starch and 25 ml of water in an aluminum canister. The parameters recorded were pasting temperature (Tp), peak viscosity (PV), final viscosity (FV), breakdown (BD), and setback (SB).


### 2.2.4. Pasta-Making

Pasta was made using commercial wheat flour, water, and kañawa flour from two different ecotypes. Kañawa flours were incorporated into recipes by replacing wheat flour in three proportions (w/w): 10, 20, and 30%. An additional sample with no kañawa flour was also prepared as a control. Pasta was prepared from 50 g of flour, 500 mg of NaCl, and distilled water according to Bustos et al. [4]. Briefly, the dough was sheeted using a laboratory sheeting machine with a final pass through a roll obtaining a 0.90 mm thick sheet, and then, it was cut through cutting attachment into strips of approximately 2 mm wide and 15 cm long. Pasta was then dried in two steps, the first one was 30 min at 30°C without controlling humidity in an air convection drier and the second step was performed at 45°C in a humidity-controlled (75%) drier for 17.5 h. The samples were wrapped in cling-film and stored in airtight containers at room temperature until needed.


## 2.2.1. Flour Composition

Moisture, protein, lipid and ash content of wheat and kañawa flours were determined according to official methods [19]. Total dietary fiber content was determined according to method 32-05 [19] using a multienzymatic kit (Megazyme, Ireland) and total crude fiber by using method 32-10 [19]. Water retention capacity was determined in the three flours following method 56-11 [19]. All analyses were performed in duplicate.


## 2.2.2. Differential Scanning Calorimetry

Differential scanning calorimetry measurements were performed using a DSC 823 (Mettler-Toledo, Switzerland). Flour samples were weighed into aluminum pans of 100 μl capacity, and distilled water was added until the flour/water ratio was 1 : 4. The samples were allowed to equilibrate for 18 h before analysis. Indium was used to calibrate the DSC, and an empty pan was used as a reference. Pans were sealed and then were heated from 25°C to 120°C at a rate of 10°C/min. Onset temperature (To), peak temperature (Tp), conclusion temperature (Tc), and enthalpy of gelatinization were determined. Heat enthalpy of gelatinization was calculated on dry solid basis.


## 2.2.3. Pasting Properties (RVA)

Pasting properties of kañawa flours and wheat-kañawa flour blends were determined following the standard Newport Scientific Method 1 (STD1). The heating cycle was 50 to 95°C in 282 s, holding at 95°C for 150 s and then cooling to 50°C. The RVA studies were carried out using 3.0 g of starch and 25 ml of water in an aluminum canister. The parameters recorded were pasting temperature (Tp), peak viscosity (PV), final viscosity (FV), breakdown (BD), and setback (SB).


## 2.2.4. Pasta-Making

Pasta was made using commercial wheat flour, water, and kañawa flour from two different ecotypes. Kañawa flours were incorporated into recipes by replacing wheat flour in three proportions (w/w): 10, 20, and 30%. An additional sample with no kañawa flour was also prepared as a control. Pasta was prepared from 50 g of flour, 500 mg of NaCl, and distilled water according to Bustos et al. [4]. Briefly, the dough was sheeted using a laboratory sheeting machine with a final pass through a roll obtaining a 0.90 mm thick sheet, and then, it was cut through cutting attachment into strips of approximately 2 mm wide and 15 cm long. Pasta was then dried in two steps, the first one was 30 min at 30°C without controlling humidity in an air convection drier and the second step was performed at 45°C in a humidity-controlled (75%) drier for 17.5 h. The samples were wrapped in cling-film and stored in airtight containers at room temperature until needed.


## 2.3. Pasta Quality Parameters

### 2.3.1. Cooking Procedure

All cooking tests were performed in duplicate. Pasta (4 g) was broken into pieces of 5 cm and cooked in boiling distilled water (200 mL). Boiling was maintained for the total cooking period. The optimum cooking time was considered to be the time when the inner white core of the pasta disappeared after cross-cutting it with a razor blade according to AACC [19] at 1 min intervals. After cooking at optimum time and draining, the samples were analyzed for swelling index, water absorption, textural properties, color, total dietary fiber, and microstructure. Cooking water was used for determination of cooking losses.Swelling index of cooked pasta was evaluated by drying pasta samples to constant weight at 105°C, expressed as (weight of cooked product (W1) − weight after drying (W2))/weight after drying (W2) [7].Water absorption of drained pasta was determined as ((weight of cooked pasta (W3) − weight of raw pasta (W4))/weight of raw pasta (W4)) × 100 [7].Cooking loss in the cooking water collected from each sample was determined by evaporation to constant weight in an air oven at 105°C. The residue was weighed and reported as percentage of the original pasta sample [7].


### 2.3.2. Texture of Cooked Pasta

To perform a TPA analysis, a Texture Analyser TA.XT2i (Stable Micro Systems, Godalming, UK) equipped with a Windows version of the Texture Expert Software package was used. The TA.XT2i was fitted with a 25 kg load cell. Samples were collected by soaking in cold water for 20 s, and excess water was removed by lightly patting between paper towels. One sample was placed centrally under an HDP/PFS pasta firmness-stickiness probe, on a flat aluminum platform base. The probe compressed the pasta samples at a rate of 2.0 mm/s to 70% strain, and the probe was retracted and followed by a second compression cycle after 2 s. Five replicates from two different sets of sheeting were analyzed and averaged. The parameters recorded were hardness, chewiness, cohesiveness, springiness, and resilience.


### 2.3.3. Scanning Electron Microscopy (SEM)

The microstructure of transversely fractured cooked pasta was investigated by SEM. Small portions of cooked pasta were cut with a razor blade and fixed in glutaraldehyde for 2 h and embedded in a graded acetone series (250, 500, 750, and 800 g kg−1) for 20 min at each gradation. Finally, they were embedded in pure acetone at three consecutive 20 min intervals to ensure full dehydration. Samples were dried by critical point. Critical point drying allows acetone removal in CO2 without surface tension force that may distort the sample. Dehydrated samples were coated with gold particles for 4 min. The images were taken using a Jeol 35 CF (Japan) scanning electron microscope with a 6 kV acceleration voltage. The micrographs were taken using 3000x magnification.


## 2.3.1. Cooking Procedure

All cooking tests were performed in duplicate. Pasta (4 g) was broken into pieces of 5 cm and cooked in boiling distilled water (200 mL). Boiling was maintained for the total cooking period. The optimum cooking time was considered to be the time when the inner white core of the pasta disappeared after cross-cutting it with a razor blade according to AACC [19] at 1 min intervals. After cooking at optimum time and draining, the samples were analyzed for swelling index, water absorption, textural properties, color, total dietary fiber, and microstructure. Cooking water was used for determination of cooking losses.Swelling index of cooked pasta was evaluated by drying pasta samples to constant weight at 105°C, expressed as (weight of cooked product (W1) − weight after drying (W2))/weight after drying (W2) [7].Water absorption of drained pasta was determined as ((weight of cooked pasta (W3) − weight of raw pasta (W4))/weight of raw pasta (W4)) × 100 [7].Cooking loss in the cooking water collected from each sample was determined by evaporation to constant weight in an air oven at 105°C. The residue was weighed and reported as percentage of the original pasta sample [7].


## 2.3.2. Texture of Cooked Pasta

To perform a TPA analysis, a Texture Analyser TA.XT2i (Stable Micro Systems, Godalming, UK) equipped with a Windows version of the Texture Expert Software package was used. The TA.XT2i was fitted with a 25 kg load cell. Samples were collected by soaking in cold water for 20 s, and excess water was removed by lightly patting between paper towels. One sample was placed centrally under an HDP/PFS pasta firmness-stickiness probe, on a flat aluminum platform base. The probe compressed the pasta samples at a rate of 2.0 mm/s to 70% strain, and the probe was retracted and followed by a second compression cycle after 2 s. Five replicates from two different sets of sheeting were analyzed and averaged. The parameters recorded were hardness, chewiness, cohesiveness, springiness, and resilience.


## 2.3.3. Scanning Electron Microscopy (SEM)

The microstructure of transversely fractured cooked pasta was investigated by SEM. Small portions of cooked pasta were cut with a razor blade and fixed in glutaraldehyde for 2 h and embedded in a graded acetone series (250, 500, 750, and 800 g kg−1) for 20 min at each gradation. Finally, they were embedded in pure acetone at three consecutive 20 min intervals to ensure full dehydration. Samples were dried by critical point. Critical point drying allows acetone removal in CO2 without surface tension force that may distort the sample. Dehydrated samples were coated with gold particles for 4 min. The images were taken using a Jeol 35 CF (Japan) scanning electron microscope with a 6 kV acceleration voltage. The micrographs were taken using 3000x magnification.


## 2.4. Nutritional Parameters

Total dietary fiber was determined in cooked and dried pasta samples according to method 32-05 [19]. Two replicates from two different sets of pasta were analyzed.Total protein of cooked pasta was determined in duplicates by the Kjeldahl method, and the nitrogen conversion factor used was 5.7 for wheat and enriched pasta; values were expressed in dry basis.


## 2.5. Statistical Analysis

Results were expressed as the mean of two replicates ± SD. Data were analyzed by ANOVA, and results were compared by Fisher’s test at a significance level of 0.05, while the relationship between measured parameters was assessed by Pearson’s test (significance level atp<0.05). All analyses were performed using the INFOSTAT statistical software.


## 3. Results and Discussion

### 3.1. Physicochemical Properties of Wheat and Whole Kañawa Flours and Their Blends

The chemical composition of wheat and kañawa L1 and L2 flours was determined, and the results are shown in Table1. Kañawa flours showed strong differences between ecotypes in protein, ash, lipid, and dietary fiber contents. Both kañawa ecotypes are good sources of fat and dietary fiber. Other authors have reported similar protein, fat, and crude fiber values for kañawa from Peru [1, 3, 11, 16]. The high level of fiber (crude and dietary) and ash in both kañawa flours was due to the presence of seed perigonium fragments after milling and sieving. The L2 ecotype has a higher nutritional value because of its higher protein and fiber contents. Water retention capacity (WRC) of both kañawa and wheat flours was determined, and both kañawa flours showed high values according to the high fiber content, while wheat flour presented significantly lower values (Table 1).Table 1
Physicochemical properties of wheat and whole kañawa flours∗.
Flour
Moisture (g kg−1)
Protein (g kg−1)
Ash (g kg−1)
Lipid (g kg−1)
Crude fiber (g kg−1)
Dietary fiber (g kg−1)
WRC (g kg−1)
Wheat
123.0b
131.0a
9.8a
9.0a
3.0a
57.0a
717a
Kañawa L1
131.6c
112.5a
45.5c
116.7c
42.6b
164.3b
1254b
Kañawa L2
98.6a
164.3b
25.4b
98.3b
50.8c
258.3c
1942c
All parameters are expressed on dry basis. Values followed by the same letter within a column are not significantly different (p>0.05).


### 3.2. Thermal and Pasting Properties

Pasta cooking quality has shown to be highly affected by starch gelatinization and protein network formation [20]. As a result, amylose content and starch botanical origin, starch damage, and heat-moisture treatment are important for pasta quality [21]. Indeed, any variation in starch properties that has an impact on pasta water uptake, gel consistency, and gluten breakdown capacity may influence pasta quality. In order to assess the effect of kañawa flour on the thermal behavior and pasting properties of wheat starch, DSC and RVA studies were carried out.Thermograms of wheat and kañawa flours and their blends showed a first peak corresponding to starch gelatinization and a second one from the amylose-lipid complex. Starch gelatinization parameters of wheat and kañawa flours and their blends are shown in Table2. Kañawa flours presented lower gelatinization temperature (To, Tp, and Te) and enthalpy than wheat. Quinoa starch presented a range of starch gelatinization temperatures (between 57 and 64°C) similar to kañawa [22]. Lindeboom et al. [23] found lower starch gelatinization temperatures and higher enthalpy when analyzing different quinoa starches. In cases where wheat flour was replaced by 20% and 30% of kañawa, To, Tp, and Tc were higher than those of wheat despite kañawa flour showed lower gelatinization temperatures. Probably, other kañawa flour components as fiber, protein, and lipid could modify wheat starch behavior. Different studies have proposed that solutes increase gelatinization temperatures of starches [24]. In general, this effect is achieved through their ability to compete with water, thus reducing the water activity of the system, and through starch-solute interactions. Dietary fiber which is highly composed of water-binding macromolecules is competing with starch for water absorption, hence limiting starch swelling and gelatinization resulting in a higher Tp value [25]. In addition, the formation of a complex between amylose and lipids increases gelatinization temperatures (To and Tp) [26]. Differences in lipid content and composition between both ecotypes could be the reason for different effects on wheat starch during heating [12, 22].Table 2
Gelatinization parameters of wheat and both kañawa flours (L1 and L2) and their blends.
Sample
To (°C)
Tp (°C)
Te (°C)
dH gel (J/g dry solid)
Wheat
61.29c
67.25b
74.45b
4.13c
L1
55.32a
60.97a
68.98a
2.57b
L2
57.11b
61.83a
68.76a
1.84a
L1-10%
61.38c
67.52b
74.57b
4.57d
L1-20%
62.71d
68.72c
76.30b
4.16c
L1-30%
62.48d
68.54bc
76.29c
4.38cd
L2-10%
62.07cd
68.24bc
75.55bc
4.54d
L2-20%
62.51d
68.54bc
76.30c
4.14c
L2-30%
62.47d
68.56bc
75.74bc
3.82c
To: onset temperature; Tp: peak temperature; Te: end temperature; dH gel: gelatinization enthalpy. Values followed by the same letter within a column are not significantly different (p>0.05).Effects of kañawa substitution on pasting and gelling starch properties of kañawa-wheat blends were studied (Table3). Viscosity parameters decreased with the level of kañawa flour in blend according to the low pasting values of kañawa flours (Table 3). The high content of dietary fiber of these flours can decrease the viscosity of wheat flour. The incorporation of dietary fiber in the starch-water system produces a reduction of the pasting parameters, particularly peak and final viscosity, due to a water competition between fiber and starch. The reduction of water availability could decrease the initial granule swelling and keep the granule integrity explaining the lower initial viscosity and breakdown [25]. The interferences with intermolecular associations among amylopectin molecules by added fibers have been proposed as an additional factor affecting the pasting behavior of the starch-glucan system [27]. The increment of lipid content when the kañawa level increases in blends can be another explanation for the diminution of all pasting parameters observed. Complexation of starch with endogenous or added lipids may occur when they are heated together; the complex formation reduces water solubility of starch, decreases swelling capacity, and changes the rheological properties of pastes [28].Table 3
Pasting properties of wheat and kañawa flours and their blends.
Sample
PV (RVU)
FV (RVU)
BD (RVU)
SB (RVU)
Wheat
242.42g
287.75g
81.50g
126.83h
L1
41.50b
67.50b
0.42a
26.42b
L2
19.75a
22.42a
2.33a
5.00a
L1-10%
188.25f
242.58f
65.25f
119.58g
L1-20%
160.33e
216.58e
52.92e
109.17f
L1-30%
139.83d
198.33d
44.25c
102.75e
L2-10%
193.42f
237.42f
64.75f
108.75f
L2-20%
155.5e
200.08d
49.08d
93.67d
L2-30%
132.42c
175.00c
39.33b
81.92c
PV: peak viscosity; FV: final viscosity; BD: breakdown; SB: setback. Values followed by the same letter within a column are not significantly different (p>0.05).


### 3.3. Cooking Properties of Kañawa-Enriched Pasta

Cooking properties of pasta made with wheat flour and different kañawa substitution levels are shown in Table4. Pasta made with kañawa-wheat flour blends showed lower optimum cooking time (OCT) than wheat pasta with no differences between samples with different kañawa substitution levels. Water absorption and swelling indexes increased in relation with the content of kañawa in the pasta, with significant differences in water absorption between ecotypes, L2 being the one with the lowest value. This observation agrees with differences observed in water retention capacity (Table 1). Manthey and Schorno [29] and Vignola et al. [30] found greater cooking loss from spaghetti made with whole-grain wheat than from semolina. The inclusion of whole kañawa flour produced a disruption of the gluten matrix by perigonium particles, providing a path for water absorption into the wheat-kañawa pasta that reduced the cooking time and increased water absorption as observed by others in fiber-enriched pasta [7, 8, 31]. According to this, the greater the level of kañawa contents, the higher the cooking loss values (Table 4). When both kañawa ecotypes at the same substitution level were compared, pastas with the L2 ecotype showed a higher cooking loss than L1 pasta; these differences can be explained by the higher dietary fiber content of the L2 ecotype as a positive correlation between those parameters (r=0.86, p<0.05).Table 4
Cooking properties of wheat pasta and wheat-kañawa pasta.
Pasta sample
OCT (min)
Water absorption (g kg−1)
Swelling index
Cooking loss (g kg−1)
Firmness (N)
Cohesiveness
Springiness
Chewiness (N)
Resilience
Control
10
1360a
1.94a
44.0a
1.21c
0.70d
0.87d
0.74e
0.10c
L1-10%
7
1670c
2.23b
59.0b
1.22c
0.64c
0.85cd
0.66d
0.08b
L1-20%
7
1730d
2.33c
60.5b
1.27c
0.61b
0.84c
0.65d
0.08b
L1-30%
7
1810e
2.60d
68.8c
1.06a
0.59ab
0.72a
0.45a
0.06a
L2-10%
7
1550b
2.21b
71.0c
1.14b
0.64c
0.80b
0.58c
0.07a
L2-20%
7
1676c
2.38c
76.0c
1.11ab
0.57a
0.71a
0.45a
0.06a
L2-30%
7
1800e
2.59d
88.0d
1.13b
0.59ab
0.78b
0.52b
0.06a
Values followed by the same letter within a column are not significantly different (p>0.05).Pasting parameters such as peak viscosity (PV) correlate negatively with cooked pasta quality measurements, such as cooking loss (−0.82), swelling index (−0.98), and water absorption (−0.97), indicating a high influence of starch pasting on pasta quality. Sissons and Batey [32] found a negative correlation between cooking loss and peak viscosity. Low cooking loss is a desirable property of good quality pasta. High peak viscosity values are usually correlated with high granule breakdown and starch swelling during heating [22]. High swelling of the granules produce greater leaching in the cooking water, and an increase in cooking loss values would be expected. The negative correlation between PV and cooking loss contradicts this fact and suggests that other factors such as fiber of kañawa flour are affecting cooking loss.Cooking loss is a commonly used predictor of spaghetti cooking performance [6]. Values lower than 8 g kg−1 are considered acceptable for good quality pasta.The main role of wheat gluten is the formation of a network able to hold the pasta components together [33]. In this sense, it is well known that the addition of nongluten flours with a high level of dietary fiber and lipids can dilute gluten protein and weaken pasta structure [6, 34].Considering that textural characteristics of pasta play a main role in consumer’s acceptability which preferred firm and nonsticky pasta [35], results from kañawa-enriched pasta are presented in Table 4.In general, kañawa addition decreased textural parameter values according to the substitution level. However, 10% and 20% L1-substituted pasta had similar firmness to the control and higher chewiness values than 10% and 20% L2 samples (Table4). The L2 ecotype produced a stronger detrimental effect on pasta texture than L1 in agreement with the pasting behavior of this ecotype flour. Chewiness, cohesiveness, and resilience correlated positively with peak viscosity (r=0.80, r=0.93, r=0.87, respectively), final viscosity (r=0.75, r=0.88, r=0.80, p<0.05), and breakdown (r=0.78, r=0.90, r=0.83, p<0.05), showing the influence of flour pasting characteristic on pasta texture. Those textural parameters also correlated negatively with water absorption (r=−0.88, r=−0.93, r=−0.95) and swelling index (r=−0.77, r=−0.85, r=−0.85). On the other hand, a significant correlation between firmness and pasting was not observed since gluten content is an essential factor that determines pasta firmness [33] and pasting behavior is governed principally by the amount and properties of starch.


### 3.4. Pasta Microstructure

Micrographs of the transversal section of cooked pasta made with wheat and kañawa flours and wheat blends are shown in Figure1. At the outer edge of control spaghetti (Figure 1(a)), gelatinized starch closely interacts with protein forming a network that showed some holes, and when kañawa was incorporated, a disrupted network, with bigger and more irregular holes was observed (Figure 1(b)). At the centre of spaghetti, where the hydration during cooking is lower, some ungelatinized starch granules were observed in control (Figure 1(b)) and kañawa-wheat samples (Figure 1(d)). Kañawa-enriched pasta showed disrupted protein matrix with a more irregular structure and with less ungelatinized granules. The protein matrix disruption produced more porous pasta where hydration and starch gelatinization during pasta cooking can occur faster in agreement with lower OCT and higher cooking loss of kañawa-wheat samples.Figure 1
SEM micrographs of cooked pastas: (a, c) control samples (100% wheat flour); (b, d) L2-20% sample (20% kañawa flour and 80% wheat flour). (a, b) Outer edge of strand. (c, d) Centre of the strand.
(a)
(b)
(c)
(d)


### 3.5. Nutritional Quality

The nutritional value of control and kañawa-enriched pasta was evaluated by dietary fiber and protein content of cooked pasta, and results are shown in Table5.Table 5
Protein and dietary fiber content of raw and cooked pastas.
Protein∗ (g kg−1)
Dietary fiber∗ (g kg−1)
Cooked pasta moisture content (g/100g)
Raw pasta
Cooked pasta
Loss protein
Raw pasta
Cooked pasta
Loss fiber
Control
130.5bc
144.8a
14.3
57.0a
53.9a
3.1
66.0
L1-10%
128.4abc
142.8a
14.4
67.6b
63.9b
3.7
69.0
L1-20%
126.3ab
143.4a
17.1
78.2c
71.4c
6.8
70.0
L1-30%
124.2a
144.7a
20.5
88.8d
82.8d
6.0
72.3
L2-10%
133.5cd
151.9b
18.4
77.1c
60.4ab
16.7
68.8
L2-20%
136.4de
152.8bc
16.4
97.2e
80.0d
17.2
70.4
L2-30%
139.4e
155.5c
16.1
117.3f
104.5e
12.8
72.1
∗Values are expressed on dry basis. Values followed by the same letter within a column are not significantly different (p>0.05).The protein content of raw pasta decreased with the 30% substitution of L1 flour and increased with 20% and 30% of L2 flour incorporation since the protein content of wheat flour is higher than that of L1 flour and lower than that of L2 (Table1). When the protein content was measured in cooked pasta, an increment of protein percentage could be observed with respect to raw pasta (Table 5). During pasta cooking, the solid residue was principally amylose; this fact explained the proportional increment of protein after cooking; however, the proportion of water soluble proteins and pericarp fragments loss during cooking is probably smaller than starch [6].The protein increment in kañawa-cooked pasta was minor than other results [9]. However, this slight rise can be translated in a higher protein quality of this product because of its high lysine content [11].Kañawa flour improved the dietary fiber content of raw and cooked enriched pasta (Table5); the amount of fiber loss during cooking of control and Kañawa L1 pasta samples was considerably lower than in pasta made with kañawa L2. Values of total fiber dietary were similar to those obtained by adding pure resistant starch [8]. The dietary fiber content of a normal serving (dry weight = 100 g) of 20% substitution level pasta would correspond to 20% in men or 30% in women of the daily total fiber intake recommended [36].


## 3.1. Physicochemical Properties of Wheat and Whole Kañawa Flours and Their Blends

The chemical composition of wheat and kañawa L1 and L2 flours was determined, and the results are shown in Table1. Kañawa flours showed strong differences between ecotypes in protein, ash, lipid, and dietary fiber contents. Both kañawa ecotypes are good sources of fat and dietary fiber. Other authors have reported similar protein, fat, and crude fiber values for kañawa from Peru [1, 3, 11, 16]. The high level of fiber (crude and dietary) and ash in both kañawa flours was due to the presence of seed perigonium fragments after milling and sieving. The L2 ecotype has a higher nutritional value because of its higher protein and fiber contents. Water retention capacity (WRC) of both kañawa and wheat flours was determined, and both kañawa flours showed high values according to the high fiber content, while wheat flour presented significantly lower values (Table 1).Table 1
Physicochemical properties of wheat and whole kañawa flours∗.
Flour
Moisture (g kg−1)
Protein (g kg−1)
Ash (g kg−1)
Lipid (g kg−1)
Crude fiber (g kg−1)
Dietary fiber (g kg−1)
WRC (g kg−1)
Wheat
123.0b
131.0a
9.8a
9.0a
3.0a
57.0a
717a
Kañawa L1
131.6c
112.5a
45.5c
116.7c
42.6b
164.3b
1254b
Kañawa L2
98.6a
164.3b
25.4b
98.3b
50.8c
258.3c
1942c
All parameters are expressed on dry basis. Values followed by the same letter within a column are not significantly different (p>0.05).


## 3.2. Thermal and Pasting Properties

Pasta cooking quality has shown to be highly affected by starch gelatinization and protein network formation [20]. As a result, amylose content and starch botanical origin, starch damage, and heat-moisture treatment are important for pasta quality [21]. Indeed, any variation in starch properties that has an impact on pasta water uptake, gel consistency, and gluten breakdown capacity may influence pasta quality. In order to assess the effect of kañawa flour on the thermal behavior and pasting properties of wheat starch, DSC and RVA studies were carried out.Thermograms of wheat and kañawa flours and their blends showed a first peak corresponding to starch gelatinization and a second one from the amylose-lipid complex. Starch gelatinization parameters of wheat and kañawa flours and their blends are shown in Table2. Kañawa flours presented lower gelatinization temperature (To, Tp, and Te) and enthalpy than wheat. Quinoa starch presented a range of starch gelatinization temperatures (between 57 and 64°C) similar to kañawa [22]. Lindeboom et al. [23] found lower starch gelatinization temperatures and higher enthalpy when analyzing different quinoa starches. In cases where wheat flour was replaced by 20% and 30% of kañawa, To, Tp, and Tc were higher than those of wheat despite kañawa flour showed lower gelatinization temperatures. Probably, other kañawa flour components as fiber, protein, and lipid could modify wheat starch behavior. Different studies have proposed that solutes increase gelatinization temperatures of starches [24]. In general, this effect is achieved through their ability to compete with water, thus reducing the water activity of the system, and through starch-solute interactions. Dietary fiber which is highly composed of water-binding macromolecules is competing with starch for water absorption, hence limiting starch swelling and gelatinization resulting in a higher Tp value [25]. In addition, the formation of a complex between amylose and lipids increases gelatinization temperatures (To and Tp) [26]. Differences in lipid content and composition between both ecotypes could be the reason for different effects on wheat starch during heating [12, 22].Table 2
Gelatinization parameters of wheat and both kañawa flours (L1 and L2) and their blends.
Sample
To (°C)
Tp (°C)
Te (°C)
dH gel (J/g dry solid)
Wheat
61.29c
67.25b
74.45b
4.13c
L1
55.32a
60.97a
68.98a
2.57b
L2
57.11b
61.83a
68.76a
1.84a
L1-10%
61.38c
67.52b
74.57b
4.57d
L1-20%
62.71d
68.72c
76.30b
4.16c
L1-30%
62.48d
68.54bc
76.29c
4.38cd
L2-10%
62.07cd
68.24bc
75.55bc
4.54d
L2-20%
62.51d
68.54bc
76.30c
4.14c
L2-30%
62.47d
68.56bc
75.74bc
3.82c
To: onset temperature; Tp: peak temperature; Te: end temperature; dH gel: gelatinization enthalpy. Values followed by the same letter within a column are not significantly different (p>0.05).Effects of kañawa substitution on pasting and gelling starch properties of kañawa-wheat blends were studied (Table3). Viscosity parameters decreased with the level of kañawa flour in blend according to the low pasting values of kañawa flours (Table 3). The high content of dietary fiber of these flours can decrease the viscosity of wheat flour. The incorporation of dietary fiber in the starch-water system produces a reduction of the pasting parameters, particularly peak and final viscosity, due to a water competition between fiber and starch. The reduction of water availability could decrease the initial granule swelling and keep the granule integrity explaining the lower initial viscosity and breakdown [25]. The interferences with intermolecular associations among amylopectin molecules by added fibers have been proposed as an additional factor affecting the pasting behavior of the starch-glucan system [27]. The increment of lipid content when the kañawa level increases in blends can be another explanation for the diminution of all pasting parameters observed. Complexation of starch with endogenous or added lipids may occur when they are heated together; the complex formation reduces water solubility of starch, decreases swelling capacity, and changes the rheological properties of pastes [28].Table 3
Pasting properties of wheat and kañawa flours and their blends.
Sample
PV (RVU)
FV (RVU)
BD (RVU)
SB (RVU)
Wheat
242.42g
287.75g
81.50g
126.83h
L1
41.50b
67.50b
0.42a
26.42b
L2
19.75a
22.42a
2.33a
5.00a
L1-10%
188.25f
242.58f
65.25f
119.58g
L1-20%
160.33e
216.58e
52.92e
109.17f
L1-30%
139.83d
198.33d
44.25c
102.75e
L2-10%
193.42f
237.42f
64.75f
108.75f
L2-20%
155.5e
200.08d
49.08d
93.67d
L2-30%
132.42c
175.00c
39.33b
81.92c
PV: peak viscosity; FV: final viscosity; BD: breakdown; SB: setback. Values followed by the same letter within a column are not significantly different (p>0.05).


## 3.3. Cooking Properties of Kañawa-Enriched Pasta

Cooking properties of pasta made with wheat flour and different kañawa substitution levels are shown in Table4. Pasta made with kañawa-wheat flour blends showed lower optimum cooking time (OCT) than wheat pasta with no differences between samples with different kañawa substitution levels. Water absorption and swelling indexes increased in relation with the content of kañawa in the pasta, with significant differences in water absorption between ecotypes, L2 being the one with the lowest value. This observation agrees with differences observed in water retention capacity (Table 1). Manthey and Schorno [29] and Vignola et al. [30] found greater cooking loss from spaghetti made with whole-grain wheat than from semolina. The inclusion of whole kañawa flour produced a disruption of the gluten matrix by perigonium particles, providing a path for water absorption into the wheat-kañawa pasta that reduced the cooking time and increased water absorption as observed by others in fiber-enriched pasta [7, 8, 31]. According to this, the greater the level of kañawa contents, the higher the cooking loss values (Table 4). When both kañawa ecotypes at the same substitution level were compared, pastas with the L2 ecotype showed a higher cooking loss than L1 pasta; these differences can be explained by the higher dietary fiber content of the L2 ecotype as a positive correlation between those parameters (r=0.86, p<0.05).Table 4
Cooking properties of wheat pasta and wheat-kañawa pasta.
Pasta sample
OCT (min)
Water absorption (g kg−1)
Swelling index
Cooking loss (g kg−1)
Firmness (N)
Cohesiveness
Springiness
Chewiness (N)
Resilience
Control
10
1360a
1.94a
44.0a
1.21c
0.70d
0.87d
0.74e
0.10c
L1-10%
7
1670c
2.23b
59.0b
1.22c
0.64c
0.85cd
0.66d
0.08b
L1-20%
7
1730d
2.33c
60.5b
1.27c
0.61b
0.84c
0.65d
0.08b
L1-30%
7
1810e
2.60d
68.8c
1.06a
0.59ab
0.72a
0.45a
0.06a
L2-10%
7
1550b
2.21b
71.0c
1.14b
0.64c
0.80b
0.58c
0.07a
L2-20%
7
1676c
2.38c
76.0c
1.11ab
0.57a
0.71a
0.45a
0.06a
L2-30%
7
1800e
2.59d
88.0d
1.13b
0.59ab
0.78b
0.52b
0.06a
Values followed by the same letter within a column are not significantly different (p>0.05).Pasting parameters such as peak viscosity (PV) correlate negatively with cooked pasta quality measurements, such as cooking loss (−0.82), swelling index (−0.98), and water absorption (−0.97), indicating a high influence of starch pasting on pasta quality. Sissons and Batey [32] found a negative correlation between cooking loss and peak viscosity. Low cooking loss is a desirable property of good quality pasta. High peak viscosity values are usually correlated with high granule breakdown and starch swelling during heating [22]. High swelling of the granules produce greater leaching in the cooking water, and an increase in cooking loss values would be expected. The negative correlation between PV and cooking loss contradicts this fact and suggests that other factors such as fiber of kañawa flour are affecting cooking loss.Cooking loss is a commonly used predictor of spaghetti cooking performance [6]. Values lower than 8 g kg−1 are considered acceptable for good quality pasta.The main role of wheat gluten is the formation of a network able to hold the pasta components together [33]. In this sense, it is well known that the addition of nongluten flours with a high level of dietary fiber and lipids can dilute gluten protein and weaken pasta structure [6, 34].Considering that textural characteristics of pasta play a main role in consumer’s acceptability which preferred firm and nonsticky pasta [35], results from kañawa-enriched pasta are presented in Table 4.In general, kañawa addition decreased textural parameter values according to the substitution level. However, 10% and 20% L1-substituted pasta had similar firmness to the control and higher chewiness values than 10% and 20% L2 samples (Table4). The L2 ecotype produced a stronger detrimental effect on pasta texture than L1 in agreement with the pasting behavior of this ecotype flour. Chewiness, cohesiveness, and resilience correlated positively with peak viscosity (r=0.80, r=0.93, r=0.87, respectively), final viscosity (r=0.75, r=0.88, r=0.80, p<0.05), and breakdown (r=0.78, r=0.90, r=0.83, p<0.05), showing the influence of flour pasting characteristic on pasta texture. Those textural parameters also correlated negatively with water absorption (r=−0.88, r=−0.93, r=−0.95) and swelling index (r=−0.77, r=−0.85, r=−0.85). On the other hand, a significant correlation between firmness and pasting was not observed since gluten content is an essential factor that determines pasta firmness [33] and pasting behavior is governed principally by the amount and properties of starch.


## 3.4. Pasta Microstructure

Micrographs of the transversal section of cooked pasta made with wheat and kañawa flours and wheat blends are shown in Figure1. At the outer edge of control spaghetti (Figure 1(a)), gelatinized starch closely interacts with protein forming a network that showed some holes, and when kañawa was incorporated, a disrupted network, with bigger and more irregular holes was observed (Figure 1(b)). At the centre of spaghetti, where the hydration during cooking is lower, some ungelatinized starch granules were observed in control (Figure 1(b)) and kañawa-wheat samples (Figure 1(d)). Kañawa-enriched pasta showed disrupted protein matrix with a more irregular structure and with less ungelatinized granules. The protein matrix disruption produced more porous pasta where hydration and starch gelatinization during pasta cooking can occur faster in agreement with lower OCT and higher cooking loss of kañawa-wheat samples.Figure 1
SEM micrographs of cooked pastas: (a, c) control samples (100% wheat flour); (b, d) L2-20% sample (20% kañawa flour and 80% wheat flour). (a, b) Outer edge of strand. (c, d) Centre of the strand.
(a)
(b)
(c)
(d)


## 3.5. Nutritional Quality

The nutritional value of control and kañawa-enriched pasta was evaluated by dietary fiber and protein content of cooked pasta, and results are shown in Table5.Table 5
Protein and dietary fiber content of raw and cooked pastas.
Protein∗ (g kg−1)
Dietary fiber∗ (g kg−1)
Cooked pasta moisture content (g/100g)
Raw pasta
Cooked pasta
Loss protein
Raw pasta
Cooked pasta
Loss fiber
Control
130.5bc
144.8a
14.3
57.0a
53.9a
3.1
66.0
L1-10%
128.4abc
142.8a
14.4
67.6b
63.9b
3.7
69.0
L1-20%
126.3ab
143.4a
17.1
78.2c
71.4c
6.8
70.0
L1-30%
124.2a
144.7a
20.5
88.8d
82.8d
6.0
72.3
L2-10%
133.5cd
151.9b
18.4
77.1c
60.4ab
16.7
68.8
L2-20%
136.4de
152.8bc
16.4
97.2e
80.0d
17.2
70.4
L2-30%
139.4e
155.5c
16.1
117.3f
104.5e
12.8
72.1
∗Values are expressed on dry basis. Values followed by the same letter within a column are not significantly different (p>0.05).The protein content of raw pasta decreased with the 30% substitution of L1 flour and increased with 20% and 30% of L2 flour incorporation since the protein content of wheat flour is higher than that of L1 flour and lower than that of L2 (Table1). When the protein content was measured in cooked pasta, an increment of protein percentage could be observed with respect to raw pasta (Table 5). During pasta cooking, the solid residue was principally amylose; this fact explained the proportional increment of protein after cooking; however, the proportion of water soluble proteins and pericarp fragments loss during cooking is probably smaller than starch [6].The protein increment in kañawa-cooked pasta was minor than other results [9]. However, this slight rise can be translated in a higher protein quality of this product because of its high lysine content [11].Kañawa flour improved the dietary fiber content of raw and cooked enriched pasta (Table5); the amount of fiber loss during cooking of control and Kañawa L1 pasta samples was considerably lower than in pasta made with kañawa L2. Values of total fiber dietary were similar to those obtained by adding pure resistant starch [8]. The dietary fiber content of a normal serving (dry weight = 100 g) of 20% substitution level pasta would correspond to 20% in men or 30% in women of the daily total fiber intake recommended [36].


## 4. Conclusion

High lipid and fiber content of kañawa flour affected the pasting behavior of wheat starch and gluten network continuity of pasta, indicating that the starch-gluten matrix formation is essential to obtain a good pasta quality. However, the substitution of wheat by both kañawa flours improved the nutritional quality of pasta, increasing the dietary fiber content and protein quality of cooked product. The technological properties were modified according to the kañawa ecotype and the substitution level used. Regarding cooking loss values, pasta made with L1 ecotype flour had an acceptable quality when substitution was up to 30%, while firmness was not modified when wheat flour replacement was up to 20%. L2 ecotype affected the cooking properties and texture more strongly producing low quality pasta at 30% of substitution. Finally, the replacement of 20% of wheat flour by kañawa flour permits to obtain functional pasta with a satisfactory cooking quality and good nutritional characteristics.



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*Source: 4385045-2019-03-03.xml*