1College of Mechanical and Electrical Engineering, Shihezi University, Shihezi, China;
2College of Mechanical Engineering and Automation, Northeastern University, Shenyang, China;
3Key Laboratory of Northwest Agricultural Equipment, Ministry of Agriculture, Shihezi, China;
4Key Laboratory of Agricultural Machinery of Corp, Shihezi, China
The purpose of this research is to investigate the kinetics of nutrient’s change (vitamin C, reducing sugar, and total acidity) of winter jujube slices that are submitted to drying at different temperatures (55, 60, 65, and 70°C) and air velocities (3, 6, and 9 m/s) during the air-impingement drying process. Results showed that the content of vitamin C and reducing sugar, and total acidity decreased with increasing drying time. Furthermore, analysis of variance indicated that the drying temperature, air velocity, and time had a significant effect on the loss of vitamin C and reducing sugar, and on total acidity (P < 0.05). Zero-order, first-order, and Weibull models were used to fit the experimental data, Weibull model was considered as the most suitable one for the degradation kinetics of vitamin C and reducing sugar, and change of total acidity in samples dried at different temperatures and air velocities. According to the Arrhenius formula, the activation energy of vitamin C, reducing sugar, and total acidity change kinetics were 63.78, 36.48, and 153.51 kJ/mol, respectively. This research can provide some references for enhancing dried product quality in the jujube drying industry.
Key words: activation energy, air velocity, drying temperature, drying time, Weibull model
*Corresponding author: Xuedong Yao, College of Mechanical and Electrical Engineering, Shihezi University, Shihezi, China. Email: yaoxuedong@126.com
Submitted: 16 October 2020. Accepted: 13 January 2021. Published: 3 February 2021.
© 2021 Codon Publications
This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0). License (http://creativecommons.org/licenses/by-nc-sa/4.0/)
Jujube is now popular among consumers because of its crispy texture and rich in nutrients. Researches have indicated that jujube is rich in a variety of nutrients (Gao et al., 2011), and thus it is known as the “king of vitamins.” However, fresh jujube decays easily due to its high moisture content. Hence, most farmers and factories need preservation techniques to extend the storage period and prolong the shelf-life after harvesting the fresh ones.
Drying is the most common method of food preservation, which can prolong the shelf life by reducing the moisture content (Al Juhaimi et al., 2016; Mujumdar and Law, 2010). Jujube slices drying can contribute to enhance the quality of the dried product and reduce the drying time compared to whole jujubes drying, it can not only use damaged jujube effectively but also make them more convenient to store and transport than the whole jujube.
Doymaz et al. (2016) found that the total color change of the dried jujube fruits increased with the increasing infrared power level, and the Page model was more fitted to the experimental drying data. Chen et al. (2015) found that short- and medium-wave infrared radiation provided dried jujube slices that had brighter color and higher retention of vitamin C compared to hot-air drying. He et al. (2013) evaluated the physical properties of crispy winter jujube dried by explosion puffing drying, and they found that the dried products exhibited very close rehydration capacity with those obtained by a combination of freeze-drying and hot air drying, while the dried products had better crispness. Wojdyło et al. (2019) investigated different parameters of combined methods such as pre-drying by hot air drying and finishing drying by vacuum-microwave drying, and found that the content of phenolic substances and antioxidant activity of dried products decreased with the increasing air temperature and material temperature during hot air drying and vacuum-microwave drying, respectively. Gao et al. (2012) analyzed the change of sugar content of jujube after four drying treatments including sun drying, oven drying, microwave drying, and freeze-drying, and the results showed that freeze-dried jujubes had higher antioxidant activity than microwave-dried jujubes, but microwave-dried jujubes had higher retentions of protocatechuic acidity, catechin, and epicatechin. Although some scholars studied the change of quality indexes, these researches mainly focused on the drying methods of jujube and the changes of nutritional quality after jujube drying. There are few reports on the dynamic changes in the nutritional quality of jujube slices during drying.
The common nutritional quality indicators of jujube slices mainly cover sugar, acidity, vitamin C, and so on (Pu et al., 2017). Vitamin C is one of the main vitamins for the human body, which is an important antioxidant that is linked to a reduction in the incidence of some diseases (Santos and Silva, 2008). Reducing sugar content and total acidity content are also two common nutrition quality indexes of jujube slices, which directly determine the sugar-acidity ratio which is the most direct taste response from consumers to products. Therefore, in this research, vitamin C content, reducing sugar content, and total acidity content were regarded as the representative indexes to evaluate the nutritional quality of jujube slices.
Air-impingement jet drying technology is an efficient drying method, which has been used in food baking, blanching, and drying in recent years. During the air-impingement jet drying process, a thinner boundary layer between the air and the surface of the product due to the higher air velocity and impinging directly the surface of the product, which leads to the enhancement of heat and mass transfer (Anderson and Singh, 2006; Mujumdar, 2006). The heat transfer coefficient is five-fold higher than the respective with conventional dryers. Meanwhile, the drying rate increases and the drying time decreases (Seyedein et al., 1995). The kinetics of nutritional quality changes (vitamin C, reducing sugar, and total acidity) during the drying process of jujube slices were studied by air-impingement drying, which provides some theoretical support for the jujube drying industry.
Fresh winter jujubes with the same maturity and similar size were purchased from Shihezi comprehensive wholesale market. All the winter jujubes were stored in a refrigerator at 4 ± 1°C and 96 ± 2% relative humidity prior to all experiments. Then the winter jujubes without mechanical damage were washed with tap water for removing the dust on the surface. Excess water on their surface was removed by blowing ambient air. Then the winter jujubes were cut into slab shape with 7.0 mm as the average thickness by a sharp blade. The moisture content of the samples was 80 ± 1.0% on a wet basis, initially (w.b.).
The air-impingement jet dryer (Drying Technology and Equipment Laboratory of Shihezi University) was employed to drying the samples, as shown in Figure 1. The experiments were performed and the recorded data are given in Table 1. Then the single layer of samples was placed in rows on the drying tray, each row being 40±0.2 g as a sample. A sample was collected and weighed immediately by Electronic Balance every 30 min during the drying process. The moisture content of the sample was calculated and the samples sealed in the refrigerator until needed. When the moisture content of the sample was less than 20% (w.b.), the drying process was terminated.
Table 1. Design for the experiments with run conditions included.
Run no. | Drying temperature (°C) | Air velocity (m/s) | Pulsation ratio (r/min) |
---|---|---|---|
1 | 55 | 6 | 6 |
2 | 60 | 6 | 6 |
3 | 65 | 6 | 6 |
4 | 70 | 6 | 6 |
5 | 60 | 3 | 6 |
6 | 60 | 9 | 6 |
Figure 1. Schematic diagram of pulsed air-jet impingement dryer.
Each sample was crushed and divided into three equal parts after the sample was taken out of the refrigerator and the content of vitamin C, reducing sugar, and total acidity was determined, respectively. All experiments were performed in triplicate to ensure the accuracy of the test data.
The change of moisture content was described as moisture ratio (MR). The calculation of MR was according to the method of Goyal et al. (2007).
where, Mt represents the moisture content of samples at drying time t, M0 is the initial moisture content of samples, and Me is the equilibrium moisture content. The values of Me were relatively low compared to M0 and Mt values, thus Equation (1) was simplified and as expressed in Equation (2).
Vitamin C content of samples was determined by 2,6-dichloro-indo-phenol titrimetric method described by Caparino et al. (2017) with slight modification. Ten grams (10 g) sample was homogenized in a blender with 100 mL oxalic acid solution. 10 mL filtration solution was transferred to a 50 mL conical flask and titrated with 2,6-dichloro-indo-phenol (0.01 g/100 g solution) until the filtrate was pink for 15 s without fading. The titration was repeated several times for accuracy.
Reducing sugar content of samples was determined by the official LaneEynone titratable method as described in AOAC. (2005).
The total acidity content of samples was determined by a titration method following the methodology described by Jahan et al. (2019).
Statistical significance of the experiments was determined using a two-way analysis of variance (ANOVA) with P < 0.05. The Statistical Product and Service Solutions (SPSS) software is used for this analysis. The mathematical modeling of drying curves and vitamin C, reducing sugar, and total acidity was performed with Origin Pro 8 software.
The quality changes of foods during processing and storage can be described by different kinetic models. The degradation kinetics of vitamin C and reducing sugar, and change of total acidity were assessed with zero-order, first-order, and Weibull distribution models [Equations (3)–(5)].
where, Ct is the nutrient quality index value at any time; C0 is the initial value of the index; t is the time, h; k0 is the zero-order kinetic reaction rate constant; k1 is the first-order kinetic reaction rate constant; kα is the Weibull distribution kinetic reaction rate constant (Corradini and Peleg, 2004); and β is the shape constant.
The effect of temperature on each indicator is in accordance with the Arrhenius equation:
where, k is the reaction rate constant; A0 is the Arrhenius constant (frequency factor); Ea is the activation energy, J /mol; R is the universal gas constant, 8.314 J /(mol. K); T is the temperature, K.
Take the logarithm of both sides of the Arrhenius equation:
Taking ln k as the ordinate and T–1 as the abscissa for the curve. For the straight-line fitting of the obtained result, the slope is Ea R–1, and the value of Ea can be calculated by taking the value of R.
To compare the effect of different drying temperature and air velocity on the dynamics of nutritional quality changes of winter jujube slices, the curves of vitamin C versus drying time, reducing sugar versus drying time, and total acidity versus drying time under different processing parameters are shown in Figures 2–7.
Figure 2. The fitting curves of vitamin C content variation under different drying temperatures with a constant air velocity of 6 m/s.
Figure 3. The fitting curves of vitamin C content variation under different air velocities with a constant drying temperature of 60°C.
Figure 4. The fitting curves of reducing sugar content variation under different drying temperatures with a constant air velocity of 6 m/s.
Figure 5. The fitting curves of reducing sugar content variation under different air velocities with a constant drying temperature of 60°C.
Figure 6. The fitting curves of total acidity content variation under different drying temperatures with a constant air velocity of 6 m/s.
Figure 7. The fitting curves of total acidity content variation under different air velocities with a constant drying temperature of 60°C.
The fitting curves of vitamin C versus drying time under different drying temperatures with a constant air velocity of 6 m s-1 are shown in Figure 2. It can be seen that the content of vitamin C decreased with increasing drying time (P < 0.05). That may be due to the higher moisture content during the initial stage of drying, and the higher activity of the enzyme, which accelerated the decrease of vitamin C retention. In all dried samples, the retention rate of vitamin C was less than 46.45%, the highest retention of vitamin C was obtained at 55°C (0.28 g 100 g–1). The loss of vitamin C increased with the increasing drying temperature (P < 0.05). The possible reasons for this phenomenon could be the effect of oxidation and thermal degradation (Hawlader et al., 2006). The heated air inherently exposes the products to oxidation, reducing their vitamin C content (Vega-Gálvez et al., 2008). Similar results were obtained in the drying experiment of Monukka seedless grapes conducted by Xiao et al. (2010), in the drying experiment of red peppers conducted by Dağhan et al. (2018), and in the drying experiment of kiwifruit by Kaya et al. (2009).
The fitting curves of vitamin C versus drying time under different air velocities with a constant drying temperature of 60°C are shown in Figure 3. The vitamin C content was inversely proportional to the drying time. In all dried samples, the highest retention of vitamin C was obtained at 9 m/s (0.25 g 100 g–1), the retention rate of vitamin C was less than 42.82%. Although the vitamin C content of samples in the initial drying stage was higher at the lower air velocity (P < 0.05), a longer drying time was needed, so the final vitamin C retention rate was the lowest.
The fitting curves of reducing sugar versus drying time under different drying temperatures with a constant air velocity of 6 m/s are shown in Figure 4. In the drying process, the reducing sugar content decreased with the increase of drying time (P < 0.05). Reducing sugar retention rates of all dried samples were found lower than 44.32%, and the highest retention of reducing sugar was at 55°C (4.90 g 100 g-1). The retention of reducing sugar was negatively correlated with the temperature (P < 0.05). These phenomena were probably due to reducing sugar that occurred in the Maillard reactions under lower temperatures. Reducing sugar binding to amino acids, eventually resulted in the loss of protein content and total sugar, especially reducing sugar (Chen et al., 2012). While at higher drying temperatures, one part of the reducing sugar participated in the Maillard reaction and the other part participated in the caramelization reaction (Boudhrioua et al., 2002).
The fitting curves of reducing sugar versus drying time under different air velocities with a constant drying temperature of 60°C are shown in Figure 5. During the drying process, reducing sugar content of dried samples decreased gradually with time. The highest retention of reducing sugar was found at 9 m/s (4.8 g 100 g–1), and reducing sugar retention rates of all dried samples were lower than 43.74% (P < 0.05).
The fitting curves of total acidity versus drying time under different drying temperatures with a constant air velocity of 6 m/s are shown in Figure 6. It is shown that the total acidity retention of winter jujube slices decreased slightly with time for the same drying temperature (P < 0.05). The lowest total acidity retention of dried samples was obtained at 55°C (0.40 g 100 g–1), and the retention rates were higher than 81.23% (P < 0.05). The decrease in acidity may be due to the conversion of the acid into sugars or some other compounds during the drying process, or the utilization of the acid in the respiration process (Prajapati et al., 2011). This result is in agreement with several studies (Ashebir et al., 2009; Fernandes et al., 2018) that reported degradation of total acidity at high temperatures.
The fitting curves of total acidity versus drying time under different air velocities with a constant drying temperature of 60°C are shown in Figure 7. The reducing sugar content of dried samples decreased gradually with time. It was shown that the lowest total acidity retention of dried samples was obtained at 9 m/s (0.43 g 100 g-1), and the retention rates were higher than 87.11% (P<0.05). Total acidity retention of dried samples decreased gradually with time.
The drying temperatures, time, and air velocities had a significant effect on the vitamin C, reducing sugar, and total acidity content of samples during their drying process as obtained by the two-way ANOVA (P<0.05).
The vitamin C degradation kinetic results are displayed in Table 2. Based on the criteria of the highest determination coefficients (R2 = 0.9892–0.9986), the Weibull model was selected as the most suitable model for vitamin C degradation kinetics in samples dried at different temperatures. The values of kinetic constants (kα) and shape constants (β) of the Weibull model were obtained by fitting the experimental data. The kα values for vitamin C obtained through the Weibull model were 0.1066, 0.1443, 0.2090, and 0.2928 at 55, 60, 65, and 70°C, respectively. Lower kα values indicate lower degradation rates or, put differently, a long time before nutrient collapse (Marfil et al., 2008). The parameter kα was directly affected by drying temperatures in this study. The degradation rate of vitamin C increased with the drying temperature. The shape constant β represents a behavior index, and if β < 1 the reaction rate decreases with time (Cunha et al., 1998; Dağhan et al., 2018). The β values were 0.6106, 0.5905, 0.5799, and 0.5383, respectively. The vitamin C had a higher degradation rate at the beginning of the process. The variation of vitamin C content showed similar changes under different air velocities with a constant drying temperature of 60°C. The degradation rate of vitamin C decreased with time during the drying process, and vitamin C had a faster degradation rate at higher air velocities.
Table 2. The fitting parameters of vitamin C.
Model | T (°C) | V(m/s) | k | β | R2 |
---|---|---|---|---|---|
C = C0exp[–kαt]β Weibull model |
55 | 6 | 0.1066 | 0.6106 | 0.9892 |
60 | 0.1443 | 0.5905 | 0.9949 | ||
65 | 0.2090 | 0.5799 | 0.9960 | ||
70 | 0.2928 | 0.5383 | 0.9986 | ||
C = C0exp(k1t) First-order model |
55 | 6 | –0.1177 | 0.9324 | |
60 | –0.1534 | 0.9260 | |||
65 | –0.2119 | 0.9205 | |||
70 | –0.2755 | 0.8992 | |||
C = C0 + k0t Zero-order model |
55 | 6 | –0.0402 | 0.8667 | |
60 | –0.0493 | 0.8506 | |||
65 | –0.0629 | 0.8307 | |||
70 | –0.0741 | 0.7905 | |||
C = C0exp[–kαt]β Weibull model |
60 | 3 | 0.1447 | 0.7289 | 0.9847 |
6 | 0.1619 | 0.6723 | 0.9870 | ||
9 | 0.1950 | 0.7064 | 0.9671 | ||
C = C0exp(k1t) First-order model |
60 | 3 | –0.1463 | 0.9608 | |
6 | –0.1661 | 0.9467 | |||
9 | –0.2017 | 0.9352 | |||
C = C0 + k0t Zero-order model |
60 | 3 | –0.0467 | 0.8901 | |
6 | –0.0535 | 0.8693 | |||
9 | –0.0655 | 0.8490 |
The reducing sugar degradation kinetic results are given in Table 3. Based on the criteria of the highest determination coefficients (R2 = 0.9956 – 0.9994), the Weibull model was selected as the most suitable model for reducing sugar degradation kinetics in dried samples at different temperatures. The shape constant β > 1, the degradation rate of reducing sugar increased with time. The kα values for reducing sugar obtained through the Weibull model were 0.1342, 0.1566, 0.1836, and 0.2432 at 55, 60, 65, and 70°C, respectively. Reducing sugars had a higher degradation rate at higher air velocities. The variation of reducing sugar content showed similar changes under different air velocities with a constant drying temperature of 60°C. The degradation rate of reducing sugar increased gradually during the drying process and reducing sugar had a faster degradation rate at higher air velocities.
Table 3. The fitting parameters of reducing sugar.
Model | T (°C) | V(m/s) | k | β | R2 |
---|---|---|---|---|---|
C = C0exp[–kαt]β Weibull model |
55 | 6 | 0.1342 | 1.7943 | 0.9956 |
60 | 0.1566 | 1.9588 | 0.9994 | ||
65 | 0.1836 | 1.9982 | 0.9958 | ||
70 | 0.2435 | 1.9169 | 0.9982 | ||
C = C0exp(k1t) First-order model |
55 | 6 | –0.1149 | 0.9324 | |
60 | –0.1298 | 0.9260 | |||
65 | –0.1483 | 0.9205 | |||
70 | –0.2224 | 0.8992 | |||
C = C0 + k0t Zero-order model |
55 | 6 | –1.0015 | 0.8667 | |
60 | –1.1574 | 0.8506 | |||
65 | –1.3387 | 0.8307 | |||
70 | –1.8484 | 0.7905 | |||
C = C0exp[–kαt]β Weibull model |
60 | 3 | 0.1465 | 1.6270 | 0.9914 |
6 | 0.1573 | 1.6685 | 0.9963 | ||
9 | 0.1780 | 1.7108 | 0.9987 | ||
C = C0exp(k1t) First-order model |
60 | 3 | –0.1349 | 0.9441 | |
6 | –0.1382 | 0.9441 | |||
9 | –0.1529 | 0.9418 | |||
C = C0 + k0t Zero-order model |
60 | 3 | –1.1113 | 0.9767 | |
6 | –1.1872 | 0.9800 | |||
9 | –1.3328 | 0.9807 |
The total acidity change kinetic results are as shown in Table 4. Based on the criteria of the highest determination coefficients (R2 = 0.9806–0.9903), the Weibull model was selected as the most suitable model to total acidity change kinetics in samples dried at different temperatures. The values of kinetic constants (kα) and shape constants (β) of the Weibull model were obtained by fitting the experimental data. The kα values for total acidity obtained through the Weibull model were 0.1066, 0.1443, 0.2090, and 0.2928 at 55, 60, 65, and 70°C, respectively. The change rate of total acidity increased with the drying temperature. The β values were found 0.6106, 0.5905, 0.5799, and 0.5383, and the total acidity had a higher change rate at the beginning of the process. The variation of total acidity content showed similar change under different air velocities with a constant drying temperature of 60°C. The change rate of total acidity slowed down during the drying process, and total acidity had a faster change rate at higher air velocities.
Table 4. The fitting parameters of total acidity.
Model | T (°C) | V(m/s) | k | β | R2 |
---|---|---|---|---|---|
C = C0exp[–kαt]β Weibull model |
55 | 6 | 0.0034 | 0.5819 | 0.9806 |
60 | 0.0095 | 0.6845 | 0.9864 | ||
65 | 0.0166 | 0.7396 | 0.9892 | ||
70 | 0.0427 | 0.9603 | 0.9903 | ||
C = C0exp(k1t) First-order model |
55 | 6 | –0.0146 | 0.9352 | |
60 | –0.0221 | 0.9575 | |||
65 | –0.0298 | 0.9735 | |||
70 | –0.0454 | 0.9812 | |||
C = C0 + k0t Zero-order model |
55 | 6 | –0.0402 | 0.9302 | |
60 | –0.0493 | 0.9497 | |||
65 | –0.0629 | 0.9673 | |||
70 | –0.0741 | 0.9899 | |||
C = C0exp[–kαt]β Weibull model |
60 | 3 | 0.0061 | 0.6198 | 0.9737 |
6 | 0.0090 | 0.6587 | 0.9882 | ||
9 | 0.0104 | 0.6626 | 0.9987 | ||
C = C0exp(k1t) First-order model |
60 | 3 | –0.0184 | 0.9269 | |
6 | –0.0228 | 0.9532 | |||
9 | –0.0266 | 0.9646 | |||
C = C0 + k0t Zero-order model |
60 | 3 | –0.0085 | 0.9172 | |
6 | –0.0105 | 0.9446 | |||
9 | –0.0122 | 0.9575 |
The Weibull model has an interesting potential for describing microbial, enzymatic, and chemical degradation kinetics (Cunha et al., 1998). In recent years, it has been widely used to describe the changes in quality during drying, such as the drying kinetics (Aghbashlo et al., 2010; Uribe et al., 2011), the rehydration kinetics (Akar and Barutçu, 2019; Goula and Adamopoulos, 2009), the changing kinetics of color (Ong et al., 2012; Yang et al., 2018), and the degradation of vitamin C (Santos and Silva, 2009; Wang et al., 2018), of total carotenoids and total polyphenols (Eim et al., 2013). Desirable fitting results were obtained in this research with the application of the Weibull model in the degradation of vitamin C and reducing sugar, and change of total acidity.
Arrhenius plots of the natural logarithm of the rate constant (k) versus the inverse of T (K) for vitamin C, reducing sugar, and total acidity are shown in Figure 8. The activation energy is related to the slope of this graph and seems that the temperature dependence of the drying rate constant (k) was fitted to a linear model. The Ea values of vitamin C, reducing sugar, and total acidity were found to be 63.78, 36.48, and 153.51 kJ/mol, respectively. Activation energy usually indicates the energy required for a reaction to reach the activation state (Qiu et al., 2018), the higher activation energy suggests the harder degradation of the nutrient caused by drying, and a higher temperature can accelerate the process mentioned above (Zhou et al., 2017).
Figure 8. The fitting diagram of vitamin C, reducing sugar, and total acidity.
This study described the changes of vitamin C, reducing sugar, and total acidity of jujube slices during the drying process and appropriate models were fitted with experimental data. However, the detection process of nutrients is complicated and easy to be affected by unexpected conditions. The indices such as moisture content and color which are easily monitored can serve to predict the variation of the nutritional components during drying if the correlation between them can be established.
In this paper, the kinetics of nutritional quality changes of winter jujube slices during drying at different temperatures and air velocities were studied. Within the range of experimental conditions, the results were showed that: the retention of vitamin C, reducing sugar, and total acidity of winter jujube slices decreased during the drying process. Thereby, drying temperatures, time, and air velocity had a significant effect on the preserving rate of vitamin C, reducing sugar, and total acidity.
Weibull model was selected as the most suitable model for vitamin C, reducing sugar, and total acidity degradation kinetics in samples dried at different temperatures and air velocities. According to the Arrhenius formula, the activation energy of thermal degradation of vitamin C, reducing sugar, and total acidity were 63.78, 36.48, and 153.51 kJ/mol, respectively.
This study was supported by the Natural Science Fund of China (31960488).
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