# Synthesis of Cellulose Nanocrystals (CNCs) from Brewer’s Spent Grain Using Acid Hydrolysis: Characterization and Optimization

Authors: Bisrat Yihun Matebie; Belachew Zegale Tizazu; Aseel A. Kadhem; S. Venkatesa Prabhu
Journal: Journal of Nanomaterials
 (2021)

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## Abstract

This study is aimed at utilizing brewery’s spent grain (BSG) byproduct for the synthesis of cellulose nanocrystals (CNCs) using acid hydrolysis and optimizing the hydrolysis parameters (hydrolysis time, temperature, liquid-solid ratio, and acid concentration). Alkali and bleaching treatment were done to remove hemicellulose and lignin from BSG. Optimization process was performed using central composite design (CCD) to obtain optimum value of cellulose nanocrystal (CNC) yield. The maximum cellulose nanocrystal (CNC) yield of 43.24% was obtained at optimum hydrolysis conditions of 50°C, 51 wt% acid concentration, 41 min, and liquid-solid ratio of 19 ml/g. The raw brewery spent grain; alkali-treated fiber, bleached fiber, and obtained CNC were characterized using scanning electron microscopy (SEM), XRD, particle analyzer, FTIR, and differential scanning calorimeter (DSC). The characterization results indicated that the obtained cellulose nanocrystal (CNC) has rod-like whisker shape with crystallinity of 76.3% and an average particle size of 309.4 nm.


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## Body

## 1. Introduction

Currently, cost minimization and environmental awareness issues become a common agenda for researchers [1]. Developing a new green material from renewable biomass is one of a promising ways to solve cost and environmental pollution-related issues. Renewable biomasses commonly have three parts which are cellulose, lignin, and hemicellulose [2]. Cellulose is the most abundantly existing biopolymer which mainly exists in plant cell wall, and it also found in animals such as tunicates, bacteria, sea mosses, and algae [3]. The estimated annual production of cellulose in the world is 1.5×1012 ton [1]. Even if cellulose is attractive due to its biodegradable, renewable, and nontoxic properties, it has a limitation towards its use in the area of various applications due to low strength, poor thermal stability, and high-water absorption properties [2].Currently, nanotechnology is an interesting and promising area to improve the performance and application of cellulose by destroying the amorphous region and such kind of material called cellulose nanocrystals (CNCs) [4]. Different raw materials were used for isolation of nanocrystalline cellulose such as corn husk [5], rice straw [4], and bamboo pulp using acid hydrolysis [1]. For the present study, brewery spent grain (BSG) is a renewable biomass source for cellulose to extract cellulose nanocrystals using acid hydrolysis.Brewery’s spent grain (BSG) is a lignocellulosic residue produced from brewery industry [6]. Beer is the fifth most consumed beverage in the world behind tea, soft drinks, milk, and coffee with the annual world beer production of exceeding 1.34 billion hectoliters [7]. BSG is generated after the raw barley grain passes through the process of malting, mashing, fermentation, and filtration [8]. The common raw materials for brewery’s spent grain include barley malt cereals, cereal straws of wheat, buckwheat, and rice [6]. The statistics of FAO shows that the world annual cropping of barely seed is 8.3 million metric tons in 2010 [9]. Barley brewery spent grain mainly composed of cellulose, hemicellulose, lignin, protein, ash, and extractives [8]. Thus, barely BSG covers 85% of the total beer production byproducts [10]. BSG readily exists with high volume and low cost [11] and has a high potential for the isolation of cellulose for further synthesis of different derivatives such as carboxymethyl cellulose [12] and cellulose nanocomposites [13].Nanocrystalline cellulose (cellulose nanocrystals) is renewable resource which has short rod like or whisker shape with the size of 2-100 nm diameter and 100-500 nm length with the composition of 100% cellulose in the crystalline region [14]. The world annual mass production of nanocellulose is increasing and estimated up to more than 9×103 tons of nanocellulose per year [15]. Currently, the researcher interest is growing up to produce nanocrystalline cellulose due to an excellent property such as better mechanical strength, high surface area and aspect ratio, nontoxicity, crystallinity, biocompatibility, and biodegradability. For this reason, it is a potential renewable green substrate for many applications ranging from medicinal use such as xylitol and pullulan production for dental caries and diabetes treatment [11] to producing of composite materials, food packaging, foams, aerogels, textile, oxygen-barrier layers, and optically transparent functional materials [1].Different methods have been used to synthesize highly purified nanocrystals from cellulosic materials, including the chemical method, mainly carried out by acid hydrolysis [4], enzyme-assisted hydrolysis [15], and mechanical treatments, such as high-pressure homogenizing [16], grinding [17], and ultrasonication [3] as well as a combination of two or several of the abovementioned methods. In recent years, acid hydrolysis has become a promising method with nanotechnology to modify the physical and chemical properties of cellulose. Acid hydrolysis produces nanocrystalline cellulose by hydrolyzing the hydroxyl functional group of cellulose at specific parametric condition of temperature, time, and acid [18].This study is aimed at isolating cellulose nanocrystals (CNCs) from a renewable, cheap, and currently underutilized raw material, i.e., barley brewery spent grain (BSG). BSG was pretreated using several mechanical and chemical processes, including grinding, sieving, alkali treatment, and bleaching. Cellulose nanocrystals (CNCs) were produced by sulfuric acid hydrolysis followed by ultrasonication (SNC). The resulting CNC products were characterized by scanning electron microscopy (SEM), X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), particle size analyzer, and differential scanning calorimeter (DSC).


## 2. Materials and Methods

### 2.1. Materials

Brewery spent grain (BSG) was obtained from local Heineken brewery factory in Addis Ababa, Ethiopia. All analytical grade chemicals such as hydrogen peroxide (30%) for bleaching, sodium hydroxide (98%) for alkali treatment, and sulfuric acid (98%) for synthesis of cellulose nanocrystals were obtained from Himedia, India, and Merck, Germany.


### 2.2. Isolation of Cellulose from Brewery Spent Grain (BSG)

Raw brewery spent grain was washed with distilled water successively and dried using air circulating oven (TD-1315) at 50°C for 12 hours. After drying its size, it was reduced to 0.5 mm using grinder. Oversize spent grain particle was then separated using sieve (500μm mesh size) for further pretreatment processes such as acid, alkali, and bleaching treatments.


### 2.3. Acid and Alkali Treatments

The BSG was initially treated with 1.25% (wt/v) sulfuric acid, 120°C for 17 minutes at solid-liquid ratio of 1 : 10 (g : ml) to solubilize the hemicellulose. The acid-treated spent grain was dried using air circulating oven for 12 hours at 50°C. It was then milled using mortar pestle. Following acid treatment, the alkali treatment was employed two times to remove the hemicellulose completely. During alkali treatment, 2% sodium hydroxide with solid-liquid ratio of 1 : 20 (g : ml) was used. This mixture was heated using magnetic heater for 2 hr at 80°C. The mixture was successively washed with distilled water and separated using centrifuge at 4000 rpm to remove the black liquor and to achieve a neutral pH. It was then dried for 12 hours at 50°C in the oven to remove the moisture content [12, 19].


### 2.4. Bleaching Treatment

Bleaching treatment was done after alkali treatment to remove lignin and the remaining hemicellulose content of the brewery spent grain. The bleaching treatment was done in three steps: (1) 5% hydrogen per oxide and 0.07 M sodium hydroxide with equal parts (1 : 1) was mixed. The solid liquid ratio used during bleaching treatment was 1 : 30 (g : ml). This mixture was heated using magnetic stirrer heater for 40 min at 70°C. It was then successively washed with distilled water and separated using centrifuge at 4000 rpm until a neutral pH was obtained. (2) The above bleaching procedure was repeated. Subsequently, it was dried using oven for 18 hours at 50°C to remove the moisture. (3) 0.25 M sodium hydroxide, at a temperature of 70°C, was mixed with the pulp for one hour at the solid liquid ratio of 1 : 30 (g : ml). It was then repeatedly washed with distilled water and separated using centrifuge at 4000 rpm until a neutral pH was obtained. It was then dried using oven for 18 hours at 50°C to remove the moisture [19].


### 2.5. Synthesis of Cellulose Nanocrystals (CNCs)

CNCs were synthesized from brewery spent grain fiber using acid hydrolysis based on the previous methods reported in the literature with some modification [20, 21]. The brewery spent grain samples were treated with 47, 51, and 55% (wt/v) sulfuric acid, at a temperature of 45, 50, and 55°C and treatment time of 35, 40, and 45 minutes at a solid-liquid ratio of 1 : 15, 1 : 20, and 1 : 25 (g : ml) into 200 ml beaker. The mixture was placed on magnetic stirrer (MS-H280-PRO) at 800 rpm to homogenize it. The hydrolysis reaction was ceased by placing the reaction mixture in an ice bath, and the excessive sulfuric acid was removed by successive distilled water washing and centrifugation (Pro-Analytical C2004) for 10 min at 4000 rpm. The successive centrifugation resulted colloidal suspension. This colloidal suspension was neutralized using 0.5 N sodium hydroxide to achieve a neutral pH. Sonication was then performed at 60 W for 10 minutes to reduce the aggregation of nanoparticles. The suspension was dried using freeze dryer for two days.


### 2.6. Experimental Design

The central composite design (CCD) of response surface methodology was used to investigate the effect of and optimize the acid hydrolysis parameters on the yield of CNC production. The yield was investigated depending on four factors, i.e., the upper and lower levels of the parameters, viz., acid concentration, hydrolysis time, temperature, and liquid-solid ratio, were fixed following a preliminary experiment conducted one variable at a time (OVAT) for each parameter as shown in Table1. Three-level-four-factor central composite design (CCD) was used for optimizing the factors and the response of the experiment in which 26 runs were conducted. After those 26 experiments were conducted, the Design-Expert Software 12.0.0 was used to statistically analyze the data and obtain suitable equation for synthesis of cellulose nanocrystals using acid hydrolysis.Table 1
Independent variables and levels used in the CCD for acid hydrolysis of BSG cellulose.
VariablesCodingUnitLevels-101TimeX1Minute354045Sulfuric acid concentrationX2%475155TemperatureX3°C455055Liquid solid ratioX4ml/g152025


### 2.7. Analytical Methods

#### 2.7.1. Scanning Electron Microscopy (SEM) Analysis

SEM (FEI INSPECTF50) was used to determine the surface morphology of untreated, alkali treated, bleached BSG, and isolated CNC with an accelerating voltage of 10 kV. Those samples were prepared in dried form and scanned the surfaces with a focus beam of electrons. The samples were placed on black carbon tape, and the image was captured with various magnification level and working distance.


#### 2.7.2. Fourier-Transform Infrared Spectroscopy (FTIR)

FTIR (iS50ABX) was used for determination of change in the chemical functional group. FTIR spectra of raw BSG, alkali-treated fiber, bleached fiber, and CNC samples were recorded with range of 400 to 4000 cm-1 with 32 resolution. The samples were prepared in powder form for analysis. Then, the prepared samples were pressed into a pellet and analyzed in spectral region.


#### 2.7.3. X-Ray Diffraction (XRD)

XRD (BTX-528) was used for the determination of sample crystallinity (which shows cellulose amorphous region is hydrolyzed or not). The samples were dried using oven for 24 h at 50°C to remove the moisture content completely. After this, the dried samples were prepared in powder form and scanned in 2θ using XRD by varying the range from 5 to 60° and operated at an acceleration voltage of 40 kV, using Cu Kα radiation. The crystallinity index can be determined using Equation (1):
(1)%crystallinityCI=AreaofcrystallinepeaksTotalareaofpeaks×100.Crystalline size can be determined using Scherrer equation as follows:(2)D=κλdcosθ,whereD is crystalline size, λ is constant radiation with value of 0.154060 nm, k is crystallite shape factor, d is FWHM, and θ is angle (in radian).


#### 2.7.4. Differential Scanning Calorimeter (DSC)

The thermal behavior of raw cellulose and extracted cellulose nanocrystals were analyzed using differential scanning calorimeter (SKZ1052B). During measurement, 20 mg of each sample was prepared for analysis. The weighed sample was placed in platinum crucible and heated from room temperature to 400°C for 40 minutes with a heating rate of 10°C min-1.


#### 2.7.5. Particle Size Analyzer

Malvern zetasizer nano (ZE3600) was used to measure the particle size distribution of obtained cellulose nanocrystals (CNCs). The sample was prepared by diluting the CNC suspension using distilled water, and size distribution measurement was performed at room temperature, and time taken for thermal equilibrium was 170 seconds. The measurements were conducted in triplicate.


## 2.1. Materials

Brewery spent grain (BSG) was obtained from local Heineken brewery factory in Addis Ababa, Ethiopia. All analytical grade chemicals such as hydrogen peroxide (30%) for bleaching, sodium hydroxide (98%) for alkali treatment, and sulfuric acid (98%) for synthesis of cellulose nanocrystals were obtained from Himedia, India, and Merck, Germany.


## 2.2. Isolation of Cellulose from Brewery Spent Grain (BSG)

Raw brewery spent grain was washed with distilled water successively and dried using air circulating oven (TD-1315) at 50°C for 12 hours. After drying its size, it was reduced to 0.5 mm using grinder. Oversize spent grain particle was then separated using sieve (500μm mesh size) for further pretreatment processes such as acid, alkali, and bleaching treatments.


## 2.3. Acid and Alkali Treatments

The BSG was initially treated with 1.25% (wt/v) sulfuric acid, 120°C for 17 minutes at solid-liquid ratio of 1 : 10 (g : ml) to solubilize the hemicellulose. The acid-treated spent grain was dried using air circulating oven for 12 hours at 50°C. It was then milled using mortar pestle. Following acid treatment, the alkali treatment was employed two times to remove the hemicellulose completely. During alkali treatment, 2% sodium hydroxide with solid-liquid ratio of 1 : 20 (g : ml) was used. This mixture was heated using magnetic heater for 2 hr at 80°C. The mixture was successively washed with distilled water and separated using centrifuge at 4000 rpm to remove the black liquor and to achieve a neutral pH. It was then dried for 12 hours at 50°C in the oven to remove the moisture content [12, 19].


## 2.4. Bleaching Treatment

Bleaching treatment was done after alkali treatment to remove lignin and the remaining hemicellulose content of the brewery spent grain. The bleaching treatment was done in three steps: (1) 5% hydrogen per oxide and 0.07 M sodium hydroxide with equal parts (1 : 1) was mixed. The solid liquid ratio used during bleaching treatment was 1 : 30 (g : ml). This mixture was heated using magnetic stirrer heater for 40 min at 70°C. It was then successively washed with distilled water and separated using centrifuge at 4000 rpm until a neutral pH was obtained. (2) The above bleaching procedure was repeated. Subsequently, it was dried using oven for 18 hours at 50°C to remove the moisture. (3) 0.25 M sodium hydroxide, at a temperature of 70°C, was mixed with the pulp for one hour at the solid liquid ratio of 1 : 30 (g : ml). It was then repeatedly washed with distilled water and separated using centrifuge at 4000 rpm until a neutral pH was obtained. It was then dried using oven for 18 hours at 50°C to remove the moisture [19].


## 2.5. Synthesis of Cellulose Nanocrystals (CNCs)

CNCs were synthesized from brewery spent grain fiber using acid hydrolysis based on the previous methods reported in the literature with some modification [20, 21]. The brewery spent grain samples were treated with 47, 51, and 55% (wt/v) sulfuric acid, at a temperature of 45, 50, and 55°C and treatment time of 35, 40, and 45 minutes at a solid-liquid ratio of 1 : 15, 1 : 20, and 1 : 25 (g : ml) into 200 ml beaker. The mixture was placed on magnetic stirrer (MS-H280-PRO) at 800 rpm to homogenize it. The hydrolysis reaction was ceased by placing the reaction mixture in an ice bath, and the excessive sulfuric acid was removed by successive distilled water washing and centrifugation (Pro-Analytical C2004) for 10 min at 4000 rpm. The successive centrifugation resulted colloidal suspension. This colloidal suspension was neutralized using 0.5 N sodium hydroxide to achieve a neutral pH. Sonication was then performed at 60 W for 10 minutes to reduce the aggregation of nanoparticles. The suspension was dried using freeze dryer for two days.


## 2.6. Experimental Design

The central composite design (CCD) of response surface methodology was used to investigate the effect of and optimize the acid hydrolysis parameters on the yield of CNC production. The yield was investigated depending on four factors, i.e., the upper and lower levels of the parameters, viz., acid concentration, hydrolysis time, temperature, and liquid-solid ratio, were fixed following a preliminary experiment conducted one variable at a time (OVAT) for each parameter as shown in Table1. Three-level-four-factor central composite design (CCD) was used for optimizing the factors and the response of the experiment in which 26 runs were conducted. After those 26 experiments were conducted, the Design-Expert Software 12.0.0 was used to statistically analyze the data and obtain suitable equation for synthesis of cellulose nanocrystals using acid hydrolysis.Table 1
Independent variables and levels used in the CCD for acid hydrolysis of BSG cellulose.
VariablesCodingUnitLevels-101TimeX1Minute354045Sulfuric acid concentrationX2%475155TemperatureX3°C455055Liquid solid ratioX4ml/g152025


## 2.7. Analytical Methods

### 2.7.1. Scanning Electron Microscopy (SEM) Analysis

SEM (FEI INSPECTF50) was used to determine the surface morphology of untreated, alkali treated, bleached BSG, and isolated CNC with an accelerating voltage of 10 kV. Those samples were prepared in dried form and scanned the surfaces with a focus beam of electrons. The samples were placed on black carbon tape, and the image was captured with various magnification level and working distance.


### 2.7.2. Fourier-Transform Infrared Spectroscopy (FTIR)

FTIR (iS50ABX) was used for determination of change in the chemical functional group. FTIR spectra of raw BSG, alkali-treated fiber, bleached fiber, and CNC samples were recorded with range of 400 to 4000 cm-1 with 32 resolution. The samples were prepared in powder form for analysis. Then, the prepared samples were pressed into a pellet and analyzed in spectral region.


### 2.7.3. X-Ray Diffraction (XRD)

XRD (BTX-528) was used for the determination of sample crystallinity (which shows cellulose amorphous region is hydrolyzed or not). The samples were dried using oven for 24 h at 50°C to remove the moisture content completely. After this, the dried samples were prepared in powder form and scanned in 2θ using XRD by varying the range from 5 to 60° and operated at an acceleration voltage of 40 kV, using Cu Kα radiation. The crystallinity index can be determined using Equation (1):
(1)%crystallinityCI=AreaofcrystallinepeaksTotalareaofpeaks×100.Crystalline size can be determined using Scherrer equation as follows:(2)D=κλdcosθ,whereD is crystalline size, λ is constant radiation with value of 0.154060 nm, k is crystallite shape factor, d is FWHM, and θ is angle (in radian).


### 2.7.4. Differential Scanning Calorimeter (DSC)

The thermal behavior of raw cellulose and extracted cellulose nanocrystals were analyzed using differential scanning calorimeter (SKZ1052B). During measurement, 20 mg of each sample was prepared for analysis. The weighed sample was placed in platinum crucible and heated from room temperature to 400°C for 40 minutes with a heating rate of 10°C min-1.


### 2.7.5. Particle Size Analyzer

Malvern zetasizer nano (ZE3600) was used to measure the particle size distribution of obtained cellulose nanocrystals (CNCs). The sample was prepared by diluting the CNC suspension using distilled water, and size distribution measurement was performed at room temperature, and time taken for thermal equilibrium was 170 seconds. The measurements were conducted in triplicate.


## 2.7.1. Scanning Electron Microscopy (SEM) Analysis

SEM (FEI INSPECTF50) was used to determine the surface morphology of untreated, alkali treated, bleached BSG, and isolated CNC with an accelerating voltage of 10 kV. Those samples were prepared in dried form and scanned the surfaces with a focus beam of electrons. The samples were placed on black carbon tape, and the image was captured with various magnification level and working distance.


## 2.7.2. Fourier-Transform Infrared Spectroscopy (FTIR)

FTIR (iS50ABX) was used for determination of change in the chemical functional group. FTIR spectra of raw BSG, alkali-treated fiber, bleached fiber, and CNC samples were recorded with range of 400 to 4000 cm-1 with 32 resolution. The samples were prepared in powder form for analysis. Then, the prepared samples were pressed into a pellet and analyzed in spectral region.


## 2.7.3. X-Ray Diffraction (XRD)

XRD (BTX-528) was used for the determination of sample crystallinity (which shows cellulose amorphous region is hydrolyzed or not). The samples were dried using oven for 24 h at 50°C to remove the moisture content completely. After this, the dried samples were prepared in powder form and scanned in 2θ using XRD by varying the range from 5 to 60° and operated at an acceleration voltage of 40 kV, using Cu Kα radiation. The crystallinity index can be determined using Equation (1):
(1)%crystallinityCI=AreaofcrystallinepeaksTotalareaofpeaks×100.Crystalline size can be determined using Scherrer equation as follows:(2)D=κλdcosθ,whereD is crystalline size, λ is constant radiation with value of 0.154060 nm, k is crystallite shape factor, d is FWHM, and θ is angle (in radian).


## 2.7.4. Differential Scanning Calorimeter (DSC)

The thermal behavior of raw cellulose and extracted cellulose nanocrystals were analyzed using differential scanning calorimeter (SKZ1052B). During measurement, 20 mg of each sample was prepared for analysis. The weighed sample was placed in platinum crucible and heated from room temperature to 400°C for 40 minutes with a heating rate of 10°C min-1.


## 2.7.5. Particle Size Analyzer

Malvern zetasizer nano (ZE3600) was used to measure the particle size distribution of obtained cellulose nanocrystals (CNCs). The sample was prepared by diluting the CNC suspension using distilled water, and size distribution measurement was performed at room temperature, and time taken for thermal equilibrium was 170 seconds. The measurements were conducted in triplicate.


## 3. Results and Discussion

### 3.1. Cellulose Nanocrystal (CNC) Yield Optimization Using Central Composite Design

Response surface methodology using central composite design was used to modeling, analysis, and optimizing the yield of CNC. RSM was used in the way of determining the level and optimum combination of the relevant factors which gives a desired cellulose nanocrystal yield. Multiple regression equation was performed to express the relationship between factors and performance measures. Each relevant factor (time, temperature, concentration, and liquid solid ratio) has been tested on three levels. The dependent variable used as response parameter was the cellulose nanocrystal yield. All experiment was carried out three times to minimize the experimental error. Synthesis yield of CNC was varied in the range of 34.42-43.02% as shown in Table2.Table 2
RSM-CCD experimental design matrix and response data.
StdRunTime (min)Temperature (°C)Sulfuric acid (wt%)Liquid-solid ratio (ml/g)Yield (%)2114050472041.611924045512041.771133555472537.891444545552536.78953545472536.18464555471537.83274545471535.312584050512043.021393545552538.3412104555472538.5124114050512542.7910124545472536.9122134050552042.338144555551536.963153555471535.735163545551536.617173555551536.7426184050512042.9516194555552537.7418204550512041.5517213550512041.1420224055512042.466234545551537.4215243555552537.581253545471534.4223264050511542.46The quadratic model was chosen from the several possible models of Design expert12 for the prediction of the given yield. The model equation that relates cellulose nanocrystal yield to the acid hydrolysis parameters in terms of coded factors is given in Equation (3). The equation is significant for predicting the given yield and effect of each parameter.
(3)Yield%=+43.48+0.2433A+0.4278B+0.3394C+0.5133D+0.1394AB−0.2944AC−0.2544AD−0.4544BC+0.0006BD−0.2181CD−2.30A2−1.53B2−1.67C2−1.02D2.Parameters having positive coefficient values increase CNC yield whereas parameters with negative coefficient values decrease CNC yield. Results of analysis of variance (ANOVA) are given in Table3. The P value less than 0.0500 indicates the model terms are significant. In this case, A, B, C, D, AC, AD, BC, A2, B2, C2, and D2 are significant model terms. This implies that hydrolysis time, temperature, sulfuric acid concentration, liquid solid ratio, interaction between hydrolysis time and sulfuric acid concentration, interaction between hydrolysis time and liquid solid ratio, and interaction between temperature and sulfuric acid concentration are significant parameters for yield of cellulose nanocrystals produced from BSG. It was observed in Figure 1 that all points are much closed to the line of perfect fit which indicates that the actual and predicted values have closer value.Table 3
ANOVA for quadratic regression model.
SourceSSDFMSF valueP valueModel191.581413.6875.17<0.0001SignificantA-X11.0711.0715.850.0340B-X23.2913.2918.090.0014C-X32.0712.0711.390.0062D-X44.7414.7426.050.0003AB0.310810.310821.710.0180AC1.3911.3917.620.0186AD1.0411.0415.690.0362BC3.3013.3018.140.0013BD6.250E-0616.250E-0625.000.00954CD0.761310.761314.180.0456A213.55113.5574.42<0.0001B25.9915.9932.930.0001C27.1917.1939.47<0.0001D22.6612.6614.640.0028Residual2.00110.1821Lack of fit2.00100.200081.640.0859Not significantPure error0.002510.0025Total193.5825Figure 1
Experimental vs. predicted yield in the regression model.The significant of the regression model with correlation coefficient was determined by depending onR-square, adjusted R-square, and predicted R-square which have a value of 0.9897, 0.9765, and 0.9399, respectively. The quality of the model developed could be evaluated from their coefficient of relationship. The value shows that the predicted R-square of 0.9399 is in reasonable agreement with the adjusted R-square of 0.9765, i.e., the difference is less than 0.2. The 0.9897 value of R-square shows that 98.97% of total variation in the percentage of yield of cellulose nanocrystals is attributed to experimental variables studied. As the value of R-square is close to unity, the stronger the model predicts the response better. The “Adeq precision” measures the signal to noise ratio. A ratio greater than 4 is desirable. The value of “Adeq precision” for the developed correlation 28.1722 indicates an adequate signal. Thus, the model can be used to navigate the design space.Cellulose nanocrystal preparation is affected by many parameters starting from sample preparation to bleaching process; the acid hydrolysis process has more relation with independent parameters. Response surface plot and contour plot are the best way to the effect of parameters on the yield of cellulose nanocrystals. In this study, response surface and contour plot were developed using the Design-Expert 12.0.0 software. These plots showed the interaction effect of two parameters on CNC yield by keeping other parameters constant at their middle levels. Circular and elliptical contour plot shows whether the interaction of parameters is significant or not, which means that circular contour plot implies parameter interaction is insignificant whereas elliptical contour plot indicates parameter interaction is significant [22]. Figure 2(a) presents the interaction effect of hydrolysis time and temperature with acid concentration and liquid-solid ratio maintained constant at 51% (w/v) and 20 ml/g, respectively. Figure 2(b) also indicates the effect of time and acid concentration on CNC yield at a constant value of liquid solid ratio and temperature. It was observed that the CNC yield was changed, when the time changed from 35 to 40 minutes and acid concentration changed from 47 to 51% (w/v) and the yield of CNC reached higher value, while beyond 40 minutes of time and 51% (w/v) acid concentration, the yield of CNC was gradually decreased. This occurred due to the over degradation of cellulose in to undesired product at high acid concentration and longer hydrolysis time. Figure 2(c) presents the interaction effect of hydrolysis time and liquid-solid ratio with acid concentration and temperature maintained constant at 51% (w/v) and 50°C, respectively. Figure 2(d) shows the effect of temperature and acid concentration interaction at a fixed value of time and liquid-solid ratio. It was observed that yield of CNC increased as temperature and acid concentration increased from 45 to 50°C and 47 to 51%, respectively, while further increasing of both temperature and acid concentration, the value of CNC yield becomes decline due to over degradation of cellulose into undesired product at high temperature and acid concentration. Therefore, conducting many experiments at the center point gives optimum yield. Figure 2(e) indicates the effect of liquid-solid ratio and temperature on CNC yield with time and acid concentration kept constant at 40 min and 51% (w/v), while Figure 2(f) shows the effect of liquid-solid ratio and acid concentration interaction at a fixed value of 40 min of time and 50°C steady temperature. Generally, it can be understood that all four variables have important effect on CNC yield.Figure 2
Response surface and contour plots showing interaction effect of parameters on CNC yield.
(a)(b)(c)(d)(e)(f)The optimization was carried out, and its objective was maximizing cellulose nanocrystal yield in a given design space and range of process parameters. Optimization of different combination of process variables was conducted depending on desirability (D). Numerical optimization and graphical optimization are most common ways for finding optimum response with optimum operating conditions. For this study, numerical optimization and the possible solution of numerical optimization with different interaction of parameters and corresponding desirability value (1.00) were selected. The desirability value helps to identify the maximum and stable response of the experiment. According to numerical optimization solution, the maximum cellulose nanocrystal yield of 43.244% was achieved at the interaction parameters of 41.07 min, 51.088°C, 50.566% (w/v) of acid concentration, and 18.794 ml/g liquid-solid ratio. Hong et al. [1] have isolated CNC from bamboo pulp at optimum parameters of 90 min, 60% (wt/v) acid concentration, 45°C, and 8 ml/g liquid-solid ratio and achieved 32.3% CNC yield. Our study indicates a better yield was achieved with minimum time and acid concentration relative to CNC yield reported in the previous work.


### 3.2. Scanning Electron Microscope (SEM) Analysis

The morphology of brewery spent grain, alkali-treated fiber, bleached fiber, and CNCs obtained were examined by SEM analysis as shown in Figure3. Figures 3(a)–3(c) show the SEM micrograph of BSG fiber of untreated, alkali treated, and bleached, respectively. In Figure 3(a), the microstructure of BSG fiber could not be observed clearly. However, the alkali treated and bleached fibers (Figures 3(b) and 3(c)) of the microstructures of the fibers were separately seen. The reason for this was hemicellulose, lignin, and other impurities were successfully removed through chemical treatment. From the image of SEM analysis (Figure 3(d)), it was clearly shown that the microscale cellulose fiber of BSG was effectively reduced to nanoscale through acid hydrolysis and as observed from this image, the extracted cellulose nanocrystals (CNCs) have rod-like whisker-shaped cellulose nanostructure.Figure 3
SEM image of (a) BSG fiber, (b) alkali-treated fiber, (c) bleached fiber, and (d) extracted CNCs.
(a)(b)(c)(d)


### 3.3. XRD Analysis

The overall crystalline structure of bleached BSG cellulose and extracted CNC samples were determined by XRD measurement on BTX-528 model diffractometer as shown in Figure4. The diffraction peak of raw cellulose is relatively broader extracted CNCs. However, the CNC peaks became sharper and narrower due to chemical treatment. According to this pattern, a strong peak appeared at 2θ=22.6 degree was considered for the determination of crystallinity of raw cellulose and CNCs. The crystallinity index and crystal thickness of raw cellulose and CNCs were determined using Equations (1) and (2). The crystallinity of raw cellulose and extracted CNCs as determined by Equation (1) was 64.8% and 76.3%, respectively. The higher crystallinity value of CNCs compared to cellulose can be well understood by the reduction and removal of amorphous region of cellulose during acid hydrolysis. The crystal size of raw cellulose and obtained CNCs as determined by Equation (2) was 3.08 nm and 4.97 nm, respectively. In similar study conducted by Hemmati et al. [23], the crystallinity degree of raw cellulose obtained from cotton and resulting CNCs was 62% and 82%, respectively. Thus, the results of our study were in agreement with this study.Figure 4
X-ray diffraction (XRD) pattern of (a) raw cellulose and (b) CNCs obtained from BSG.


### 3.4. FTIR Analysis

FTIR analysis of raw BSG, alkali-treated fiber, bleached fiber, and CNCs is given in Figure5. In the spectrum of all samples, there was a common peak at 3320−3290 cm-1 which is related to OH stretching vibration of cellulose molecules [24]. Comparing the absorption position of bleached fiber and CNCs, the OH stretching vibration absorption band of CNCs moved toward a lower frequency and the absorption frequency was weakened, which shows that part of intermolecular hydrogen bonding was broken after acid treatment, while intermolecular hydrogen was enhanced. The peak appeared at 1728 cm-1 in the spectrum of untreated BSG attributed to either hemicellulose groups (acetyl and uronic ester group) or lignin groups (ester linkage of carboxylic group of the ferulic and p-coumeric acids). However, this peak almost missed in the spectrum of bleached fiber which shows the removal of lignin and hemicellulose components from BSG through chemical treatment. The peaks observed at 1249 cm-1 and 1527 cm-1 in the spectrum of BSG represent C-O-C (aryl-alkyl ether) and C=C aromatic rings of lignin, respectively. These two peaks also vanished after bleaching treatment, which indicates the removal of lignin component from BSG [12]. The peak observed in the spectrum of bleached fiber at 1325 cm-1 was attributed to S ring (CH2 rocking at C6 in cellulose). This peak almost disappeared in the spectrum of CNC, which indicates the developed hydrogen bonding network through acid hydrolysis in the crystalline structure of CNC decreased shocking movement of CH2. A weak sulfur peak was observed at 1325 cm-1 in CNC, which did not appear in the spectra of BSG bleached fiber. The peaks at 1033 cm-1 are associated with the C-O stretching which is directly related to increase in the cellulosic component. The spectrum at 2915 cm-1 is associated to symmetric and antisymmetric stretching modes of C-H in methyl and methylene functional groups. The peak at 895 cm-1 is associated with the presence of typical structure of cellulose due to β-glycosidic linkage.Figure 5
FTIR spectra of raw BSG, alkali-treated fiber, bleached fiber, and CNC.


### 3.5. Particle Size Analysis

The particle size measurement was conducted at room temperature with a measurement position of 0.85 mm and count rate of 45.2 kcps. During particle size measurement, glass cuvette was used as cell and a time taken for thermal equilibrium was 170 seconds. It was observed that the average particle size of the obtained cellulose nanocrystals (CNCs) was 309.4 nm. Figure6 depicts particle size distribution by volume and intensity of obtained CNC. As shown in Figure 6, the obtained cellulose nanocrystals (CNCs) did not present in a uniform size distribution because particles are fragmented during acid hydrolysis [23]. Size distribution by volume shows that CNC particle with smaller size of 86.3 nm is accountable for 26.7% of volume. In similar study, Lu and Hsieh [25] have isolated cellulose nanocrystals (CNCs) from rice husk with an average particle size of 700 nm. Brito et al. [26] have also isolated CNC from bamboo fiber with an average size of 130 nm. The slight difference might be due to variation in raw material used and hydrolysis conditions such as variation in time, temperature, acid type, and liquid-solid ratio.Figure 6
Particle size distribution by volume and intensity.


### 3.6. Differential Scanning Calorimeter (DSC) Analysis

Figures7(a) and 7(b) depict the thermal behavior of raw cellulose and extracted cellulose nanocrystals. As shown Figures 7(a) and 7(b), the thermographs of an endothermic peak appeared from 28 to 150°C due to water evaporation [27]. The exothermic peaks appeared in the thermographs indicate the decomposition point of the raw cellulose and extracted CNC. The exothermic peak of decomposition of raw cellulose shows a sharp peak at 310°C, whereas the extracted CNCs show a sharp peak at 335°C. This indicates that the position of peaks increased after chemical treatment. Thus, the resulting CNCs have high thermal stability as compared to the raw cellulose due to acid hydrolysis treatment. The position of peaks mainly depends on the amount of amorphous present in a sample. As we can be observed from peak position of raw cellulose and CNCs, CNCs show higher peak position and this indicates that the amorphous part was removed and the crystallinity was enhanced through chemical treatment.Figure 7
DSC thermographs for (a) raw cellulose and (b) CNC.
(a)(b)


## 3.1. Cellulose Nanocrystal (CNC) Yield Optimization Using Central Composite Design

Response surface methodology using central composite design was used to modeling, analysis, and optimizing the yield of CNC. RSM was used in the way of determining the level and optimum combination of the relevant factors which gives a desired cellulose nanocrystal yield. Multiple regression equation was performed to express the relationship between factors and performance measures. Each relevant factor (time, temperature, concentration, and liquid solid ratio) has been tested on three levels. The dependent variable used as response parameter was the cellulose nanocrystal yield. All experiment was carried out three times to minimize the experimental error. Synthesis yield of CNC was varied in the range of 34.42-43.02% as shown in Table2.Table 2
RSM-CCD experimental design matrix and response data.
StdRunTime (min)Temperature (°C)Sulfuric acid (wt%)Liquid-solid ratio (ml/g)Yield (%)2114050472041.611924045512041.771133555472537.891444545552536.78953545472536.18464555471537.83274545471535.312584050512043.021393545552538.3412104555472538.5124114050512542.7910124545472536.9122134050552042.338144555551536.963153555471535.735163545551536.617173555551536.7426184050512042.9516194555552537.7418204550512041.5517213550512041.1420224055512042.466234545551537.4215243555552537.581253545471534.4223264050511542.46The quadratic model was chosen from the several possible models of Design expert12 for the prediction of the given yield. The model equation that relates cellulose nanocrystal yield to the acid hydrolysis parameters in terms of coded factors is given in Equation (3). The equation is significant for predicting the given yield and effect of each parameter.
(3)Yield%=+43.48+0.2433A+0.4278B+0.3394C+0.5133D+0.1394AB−0.2944AC−0.2544AD−0.4544BC+0.0006BD−0.2181CD−2.30A2−1.53B2−1.67C2−1.02D2.Parameters having positive coefficient values increase CNC yield whereas parameters with negative coefficient values decrease CNC yield. Results of analysis of variance (ANOVA) are given in Table3. The P value less than 0.0500 indicates the model terms are significant. In this case, A, B, C, D, AC, AD, BC, A2, B2, C2, and D2 are significant model terms. This implies that hydrolysis time, temperature, sulfuric acid concentration, liquid solid ratio, interaction between hydrolysis time and sulfuric acid concentration, interaction between hydrolysis time and liquid solid ratio, and interaction between temperature and sulfuric acid concentration are significant parameters for yield of cellulose nanocrystals produced from BSG. It was observed in Figure 1 that all points are much closed to the line of perfect fit which indicates that the actual and predicted values have closer value.Table 3
ANOVA for quadratic regression model.
SourceSSDFMSF valueP valueModel191.581413.6875.17<0.0001SignificantA-X11.0711.0715.850.0340B-X23.2913.2918.090.0014C-X32.0712.0711.390.0062D-X44.7414.7426.050.0003AB0.310810.310821.710.0180AC1.3911.3917.620.0186AD1.0411.0415.690.0362BC3.3013.3018.140.0013BD6.250E-0616.250E-0625.000.00954CD0.761310.761314.180.0456A213.55113.5574.42<0.0001B25.9915.9932.930.0001C27.1917.1939.47<0.0001D22.6612.6614.640.0028Residual2.00110.1821Lack of fit2.00100.200081.640.0859Not significantPure error0.002510.0025Total193.5825Figure 1
Experimental vs. predicted yield in the regression model.The significant of the regression model with correlation coefficient was determined by depending onR-square, adjusted R-square, and predicted R-square which have a value of 0.9897, 0.9765, and 0.9399, respectively. The quality of the model developed could be evaluated from their coefficient of relationship. The value shows that the predicted R-square of 0.9399 is in reasonable agreement with the adjusted R-square of 0.9765, i.e., the difference is less than 0.2. The 0.9897 value of R-square shows that 98.97% of total variation in the percentage of yield of cellulose nanocrystals is attributed to experimental variables studied. As the value of R-square is close to unity, the stronger the model predicts the response better. The “Adeq precision” measures the signal to noise ratio. A ratio greater than 4 is desirable. The value of “Adeq precision” for the developed correlation 28.1722 indicates an adequate signal. Thus, the model can be used to navigate the design space.Cellulose nanocrystal preparation is affected by many parameters starting from sample preparation to bleaching process; the acid hydrolysis process has more relation with independent parameters. Response surface plot and contour plot are the best way to the effect of parameters on the yield of cellulose nanocrystals. In this study, response surface and contour plot were developed using the Design-Expert 12.0.0 software. These plots showed the interaction effect of two parameters on CNC yield by keeping other parameters constant at their middle levels. Circular and elliptical contour plot shows whether the interaction of parameters is significant or not, which means that circular contour plot implies parameter interaction is insignificant whereas elliptical contour plot indicates parameter interaction is significant [22]. Figure 2(a) presents the interaction effect of hydrolysis time and temperature with acid concentration and liquid-solid ratio maintained constant at 51% (w/v) and 20 ml/g, respectively. Figure 2(b) also indicates the effect of time and acid concentration on CNC yield at a constant value of liquid solid ratio and temperature. It was observed that the CNC yield was changed, when the time changed from 35 to 40 minutes and acid concentration changed from 47 to 51% (w/v) and the yield of CNC reached higher value, while beyond 40 minutes of time and 51% (w/v) acid concentration, the yield of CNC was gradually decreased. This occurred due to the over degradation of cellulose in to undesired product at high acid concentration and longer hydrolysis time. Figure 2(c) presents the interaction effect of hydrolysis time and liquid-solid ratio with acid concentration and temperature maintained constant at 51% (w/v) and 50°C, respectively. Figure 2(d) shows the effect of temperature and acid concentration interaction at a fixed value of time and liquid-solid ratio. It was observed that yield of CNC increased as temperature and acid concentration increased from 45 to 50°C and 47 to 51%, respectively, while further increasing of both temperature and acid concentration, the value of CNC yield becomes decline due to over degradation of cellulose into undesired product at high temperature and acid concentration. Therefore, conducting many experiments at the center point gives optimum yield. Figure 2(e) indicates the effect of liquid-solid ratio and temperature on CNC yield with time and acid concentration kept constant at 40 min and 51% (w/v), while Figure 2(f) shows the effect of liquid-solid ratio and acid concentration interaction at a fixed value of 40 min of time and 50°C steady temperature. Generally, it can be understood that all four variables have important effect on CNC yield.Figure 2
Response surface and contour plots showing interaction effect of parameters on CNC yield.
(a)(b)(c)(d)(e)(f)The optimization was carried out, and its objective was maximizing cellulose nanocrystal yield in a given design space and range of process parameters. Optimization of different combination of process variables was conducted depending on desirability (D). Numerical optimization and graphical optimization are most common ways for finding optimum response with optimum operating conditions. For this study, numerical optimization and the possible solution of numerical optimization with different interaction of parameters and corresponding desirability value (1.00) were selected. The desirability value helps to identify the maximum and stable response of the experiment. According to numerical optimization solution, the maximum cellulose nanocrystal yield of 43.244% was achieved at the interaction parameters of 41.07 min, 51.088°C, 50.566% (w/v) of acid concentration, and 18.794 ml/g liquid-solid ratio. Hong et al. [1] have isolated CNC from bamboo pulp at optimum parameters of 90 min, 60% (wt/v) acid concentration, 45°C, and 8 ml/g liquid-solid ratio and achieved 32.3% CNC yield. Our study indicates a better yield was achieved with minimum time and acid concentration relative to CNC yield reported in the previous work.


## 3.2. Scanning Electron Microscope (SEM) Analysis

The morphology of brewery spent grain, alkali-treated fiber, bleached fiber, and CNCs obtained were examined by SEM analysis as shown in Figure3. Figures 3(a)–3(c) show the SEM micrograph of BSG fiber of untreated, alkali treated, and bleached, respectively. In Figure 3(a), the microstructure of BSG fiber could not be observed clearly. However, the alkali treated and bleached fibers (Figures 3(b) and 3(c)) of the microstructures of the fibers were separately seen. The reason for this was hemicellulose, lignin, and other impurities were successfully removed through chemical treatment. From the image of SEM analysis (Figure 3(d)), it was clearly shown that the microscale cellulose fiber of BSG was effectively reduced to nanoscale through acid hydrolysis and as observed from this image, the extracted cellulose nanocrystals (CNCs) have rod-like whisker-shaped cellulose nanostructure.Figure 3
SEM image of (a) BSG fiber, (b) alkali-treated fiber, (c) bleached fiber, and (d) extracted CNCs.
(a)(b)(c)(d)


## 3.3. XRD Analysis

The overall crystalline structure of bleached BSG cellulose and extracted CNC samples were determined by XRD measurement on BTX-528 model diffractometer as shown in Figure4. The diffraction peak of raw cellulose is relatively broader extracted CNCs. However, the CNC peaks became sharper and narrower due to chemical treatment. According to this pattern, a strong peak appeared at 2θ=22.6 degree was considered for the determination of crystallinity of raw cellulose and CNCs. The crystallinity index and crystal thickness of raw cellulose and CNCs were determined using Equations (1) and (2). The crystallinity of raw cellulose and extracted CNCs as determined by Equation (1) was 64.8% and 76.3%, respectively. The higher crystallinity value of CNCs compared to cellulose can be well understood by the reduction and removal of amorphous region of cellulose during acid hydrolysis. The crystal size of raw cellulose and obtained CNCs as determined by Equation (2) was 3.08 nm and 4.97 nm, respectively. In similar study conducted by Hemmati et al. [23], the crystallinity degree of raw cellulose obtained from cotton and resulting CNCs was 62% and 82%, respectively. Thus, the results of our study were in agreement with this study.Figure 4
X-ray diffraction (XRD) pattern of (a) raw cellulose and (b) CNCs obtained from BSG.


## 3.4. FTIR Analysis

FTIR analysis of raw BSG, alkali-treated fiber, bleached fiber, and CNCs is given in Figure5. In the spectrum of all samples, there was a common peak at 3320−3290 cm-1 which is related to OH stretching vibration of cellulose molecules [24]. Comparing the absorption position of bleached fiber and CNCs, the OH stretching vibration absorption band of CNCs moved toward a lower frequency and the absorption frequency was weakened, which shows that part of intermolecular hydrogen bonding was broken after acid treatment, while intermolecular hydrogen was enhanced. The peak appeared at 1728 cm-1 in the spectrum of untreated BSG attributed to either hemicellulose groups (acetyl and uronic ester group) or lignin groups (ester linkage of carboxylic group of the ferulic and p-coumeric acids). However, this peak almost missed in the spectrum of bleached fiber which shows the removal of lignin and hemicellulose components from BSG through chemical treatment. The peaks observed at 1249 cm-1 and 1527 cm-1 in the spectrum of BSG represent C-O-C (aryl-alkyl ether) and C=C aromatic rings of lignin, respectively. These two peaks also vanished after bleaching treatment, which indicates the removal of lignin component from BSG [12]. The peak observed in the spectrum of bleached fiber at 1325 cm-1 was attributed to S ring (CH2 rocking at C6 in cellulose). This peak almost disappeared in the spectrum of CNC, which indicates the developed hydrogen bonding network through acid hydrolysis in the crystalline structure of CNC decreased shocking movement of CH2. A weak sulfur peak was observed at 1325 cm-1 in CNC, which did not appear in the spectra of BSG bleached fiber. The peaks at 1033 cm-1 are associated with the C-O stretching which is directly related to increase in the cellulosic component. The spectrum at 2915 cm-1 is associated to symmetric and antisymmetric stretching modes of C-H in methyl and methylene functional groups. The peak at 895 cm-1 is associated with the presence of typical structure of cellulose due to β-glycosidic linkage.Figure 5
FTIR spectra of raw BSG, alkali-treated fiber, bleached fiber, and CNC.


## 3.5. Particle Size Analysis

The particle size measurement was conducted at room temperature with a measurement position of 0.85 mm and count rate of 45.2 kcps. During particle size measurement, glass cuvette was used as cell and a time taken for thermal equilibrium was 170 seconds. It was observed that the average particle size of the obtained cellulose nanocrystals (CNCs) was 309.4 nm. Figure6 depicts particle size distribution by volume and intensity of obtained CNC. As shown in Figure 6, the obtained cellulose nanocrystals (CNCs) did not present in a uniform size distribution because particles are fragmented during acid hydrolysis [23]. Size distribution by volume shows that CNC particle with smaller size of 86.3 nm is accountable for 26.7% of volume. In similar study, Lu and Hsieh [25] have isolated cellulose nanocrystals (CNCs) from rice husk with an average particle size of 700 nm. Brito et al. [26] have also isolated CNC from bamboo fiber with an average size of 130 nm. The slight difference might be due to variation in raw material used and hydrolysis conditions such as variation in time, temperature, acid type, and liquid-solid ratio.Figure 6
Particle size distribution by volume and intensity.


## 3.6. Differential Scanning Calorimeter (DSC) Analysis

Figures7(a) and 7(b) depict the thermal behavior of raw cellulose and extracted cellulose nanocrystals. As shown Figures 7(a) and 7(b), the thermographs of an endothermic peak appeared from 28 to 150°C due to water evaporation [27]. The exothermic peaks appeared in the thermographs indicate the decomposition point of the raw cellulose and extracted CNC. The exothermic peak of decomposition of raw cellulose shows a sharp peak at 310°C, whereas the extracted CNCs show a sharp peak at 335°C. This indicates that the position of peaks increased after chemical treatment. Thus, the resulting CNCs have high thermal stability as compared to the raw cellulose due to acid hydrolysis treatment. The position of peaks mainly depends on the amount of amorphous present in a sample. As we can be observed from peak position of raw cellulose and CNCs, CNCs show higher peak position and this indicates that the amorphous part was removed and the crystallinity was enhanced through chemical treatment.Figure 7
DSC thermographs for (a) raw cellulose and (b) CNC.
(a)(b)


## 4. Conclusion

High value-added cellulose nanocrystals (CNCs) were successfully extracted from brewery spent grain using acid hydrolysis. The hydrolysis parameters time, temperature, acid concentration, and liquid-solid ratio were investigated to obtain the optimum conditions for the production of cellulose nanocrystals from brewery spent grain. Maximum CNC yield of 43.24% was obtained at optimum hydrolysis parameters of 41 min, 50°C, 51 wt% acid concentration, and liquid-solid ratio of 19 ml/g.Characterization of samples was performed, and the result showed that the obtained cellulose nanocrystals have rod-like shape with an average diameter of 309.4 nm. The FTIR and diffraction scanning calorimeter (DSC) analysis indicated that noncellulosic components were successfully removed during pretreatment process, which resulted better thermal stability. The XRD study evidenced that the amorphous region of cellulose was reduced during acid hydrolysis, and the crystallinity was enhanced from 64.6% to 76.8%. Generally, this study suggested that brewery spent grain can be used as a feedstock for isolation of cellulose nanocrystals for various applications and a better way to minimize environmental effect of brewery spent grain.



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*Source: 7133154-2021-09-26.xml*