# Ultrasonic Pretreatment-Assisted Electrohydrodynamic Drying of Potato Slices

Authors: Zhiyuan Cao; Changjiang Ding; Rui Zhao; Zhiqing Song; Hao Chen
Journal: Journal of Food Quality
 (2021)

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## Abstract

To investigate the drying characteristics and mechanism during electrohydrodynamic (EHD) drying with ultrasonic pretreatment, the ultrasonic pretreatment-assisted EHD drying method at different power values was used to carry out the drying experiment of potatoes. To carry out this study, potato slices were pretreated with different ultrasonic power values (150, 180, 210, 240, and 270 W) or without ultrasound for 30 min at 30°C. The corresponding voltage was 18 kV during EHD drying. The moisture ratio, drying rate, color, shrinkage, and rehydration rate of potatoes were determined. The microstructure of potatoes was analyzed using infrared spectroscopy and scanning electron microscopy. Eight mathematical models were used to fit the drying of potatoes. Results showed that, compared with the control group, the ultrasonic pretreatment combined with the EHD drying group had improved the drying rate of potato slices, which was different at varying ultrasonic power values. Ultrasonic pretreatment had a remarkable effect on the color of the potato but had little effect on the shrinkage rate. The maximum rehydration rate is 5.7704 at 180 W. The minimum and maximum values of effective moisture diffusivity (Deff) were 3.4070 × 10−7 m2/s and 4.1160 × 10−7 m2/s, respectively. The effect of ultrasonic power pretreatment on the microstructure of potato in the EHD drying process was significant (p>0.05). According to the statistical parameter evaluation, eight mathematical models could satisfactorily describe drying curves of potato slices dried under EHD with ultrasonic pretreatment, and the logarithmic model was best suited. This work provides a theoretical basis and practical guidance to further understand the parameter characteristics and mechanism of ultrasonic pretreatment combined with the EHD drying technology.


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## Body

## 1. Introduction

Potato, an annual herb of Solanaceae, is the fourth most important food crop in the world after rice, wheat, and corn. At present, more than 150 countries and regions are planting potatoes in the world. As the largest potatoes production and export country in the world, China’s potatoes storage and transportation are particularly important. Drying is the most important and common operation in potato processing to extend the shelf life of food products by reducing water activity, introducing new forms of consumption, and minimizing waste. In addition, drying reduces transportation, storage, packaging, and distribution costs by the decrease of product volume and weight [1]. At present, the main drying methods of potatoes are hot-air, vacuum freeze, microwave, and infrared radiation drying methods [2]. Each drying technology has its advantages and disadvantages. Hot-air drying has low cost and high speed. However, the material’s active ingredients are lost remarkably, and the quality is poor [2]. The equipment for the vacuum freeze-drying method is expensive [3]. Microwave drying has high heating efficiency, strong processing capacity, and easy operation but results in uneven drying [4]. The infrared radiation drying has an evident thermal effect on the drying process but has no evident enhancement effect on the internal mass transfer [5]. Therefore, new drying technologies should be studied.Electrohydrodynamic (EHD) drying is a nonthermal food drying technology, which has the advantages of fast drying speed, high drying quality, and energy-saving and is becoming a research hotspot [6–8]. Sriariyakul et al. used EHD drying to dry aloe puree and found that EHD drying can significantly shorten the drying time and increase the drying speed [9]. Martynenko et al. found that EHD drying can increase the drying speed of apples and mushrooms, and the drying rate increases with increasing voltage [10, 11]. Bajgai and Hashinaka observed the low shrinkage rate (SR), high rehydration rate (RR), and good color of Japanese radish after drying under the action of a high-voltage electric field [12]. The ascorbic acid content in spinach after EHD drying is higher than that after oven drying. The EHD drying improves the preservation of sample nutrients [13]. Martynenko and Zheng compared the energy consumption of EHD and low-temperature convective drying methods and found that the energy consumption of EHD drying is only 5.6% of low-temperature convective drying [10]. Esehaghbeygi and Basiry studied the EHD drying of tomato slices and concluded that the energy consumption of oven drying is about 200 times that of EHD drying [14]. However, EHD drying has some disadvantages. For example, when the moisture content of the material is low, the drying speed drops fast, thereby limiting the application of the EHD drying technology in food. This finding also shows that the EHD drying technology still needs improvement in some aspects.Ultrasonic waves can propagate in gases, liquids, and solids and have the characteristics of good directionality, strong penetrating ability, and strong vibration [15]. When transmitted through a certain medium, ultrasonic waves may cause a rapid vibration in the material and will repeatedly stretch and contract, thereby enhancing the mass transfer effect inside the material after treatment [5]. At present, the application of ultrasonic technology in food drying has attracted attention. Researchers found that the ultrasonic pretreatment of materials can assist other drying technologies to dry materials and improve the drying effect [5]. Bantle and Hanssler dried clipfish using ultrasonic pretreatment combined with convection drying technology and found that the drying time of the ultrasonic treatment group is more than 90% shorter than that of the untreated group at a temperature of 10°C. At 20°C, the drying time of the ultrasonic treatment group is 32.2% shorter than that of the untreated group [16]. Başlar et al. found that the ultrasonic pretreatment combined with the vacuum freeze-drying technology takes about 2.5 times less time to dry chicken and beef meats than the control [17]. Cao et al. found that, compared with the control group, the ultrasonic pretreatment combined with freeze-drying technology group has shortened the drying time of barley grass by 14% and reduced energy consumption by 19% [15]. Xi et al. studied the ultrasonic pretreatment combined with the far-infrared drying of potatoes and found that ultrasonic pretreatment can significantly increase the drying speed and that different drying speeds are obtained with different power values [5]. La Fuente and Tadini studied the ultrasonic pretreatment combined with the hot-air drying of bananas and found that ultrasonic pretreatment can increase the effective diffusion coefficient of moisture in bananas [18]. The ultrasonic pretreatment can be combined with other drying technologies to increase the drying speed of materials. We used the ultrasonic pretreatment combined with the EHD drying to dry wolfberry in the early stage and found that the drying rate of ultrasonic pretreatment of wolfberry is higher than that of the control group and that the ultrasonic pretreatment can overcome some shortcomings of high-voltage electric field drying and improve drying efficiency [19]. The drying process is concerned with the texture and geometry of the materials, as well as the drying technology, and, as such, it is very complex. The same drying technology has different effects on different materials. However, to date, reports about the combined ultrasonic pretreatment and EHD drying of potatoes are not available. Therefore, the aims of this research are to find an efficient nonthermal potato drying method, evaluate the quality of potatoes, model and analyze the drying process, and provide a certain parameter reference for the industrialization process of potato drying.In this paper, ultrasonic pretreatment combined with EHD drying technology was used to dry potato slices. The drying rate, moisture content, and effective moisture diffusion coefficient of potato slices were measured. The effects of different ultrasonic pretreatment conditions combined with EHD drying on rehydration rate and color of potato slices products were studied. The microstructure changes of potato slices during the drying process were studied by scanning electron microscopy (SEM) and infrared spectroscopy (FTIR). Eight mathematical models were used to fit the drying of potatoes. Single material has undergone a systematic and comprehensive investigation in relation to ultrasonic pretreatment combined with EHD drying processing. It provides an experimental and theoretical basis for the application of ultrasonic pretreatment combined with EHD drying technology in potatoes drying and the exploration of drying mechanisms. At the same time, it provides certain data and theoretical support for the commercialization or industrialization of this new drying method.


## 2. Materials and Methods

### 2.1. Experimental Device

The EHD drying experimental device is shown in Figure1. This device was composed of a high-voltage power supply (YD(JZ)-1.5/50, Wuhan High Voltage Electrical Appliance Factory, Hubei, China), controller (KZX-1.5KVA, Wuhan High Voltage Electrical Appliance Factory, Hubei, China), and a multineedle-to-plate electrode system. The high-voltage power supply could output AC voltage with an adjustable voltage range (0–50 kV). Multineedle electrodes are made of stainless steel. The needle spacing between two needle electrodes was 4 cm, and each needle had a length of 60 mm and a diameter of 1 mm. The needle electrodes were arranged in multiple rows and lined up by stainless steel wire. The ground electrode was a 100 cm × 45 cm stainless steel plate, and a microammeter (C41, Shanghai Precision Instrument Co., Ltd., Shanghai, China) was connected between the bottom plate and the ground to measure the current generated during the experiment. The distance between the needle tip and the lower electrode plate was 4 cm.Figure 1
Electrohydrodynamic drying system. 1: high-voltage power source; 2: control system; 3: needle electrode; 4: sample; 5: ground electrode; 6: thermometer; 7: hygrometer.The ultrasonic pretreatment system (KQ-300DE, Kunshan Ultrasonic Instrument Co., Ltd., Jiangsu, China) is shown in Figure2. This device was composed of an ultrasonic generator, a processing chamber, and a control system. The power range of the ultrasonic generator was 0–300 W, and the water temperature control range was 10°C–80°C. The ultrasonic working frequency was 40 kHz. Since the experiment is still in the laboratory research stage, the maximum capacity of our equipment is small.Figure 2
Ultrasonic pretreatment system. 1: deionized water; 2: ultrasonic generator; 3: temperature regulator; 4: time regulator; 5: power regulator; 6: sample; 7: ultrasonic waves.After a high voltage is applied to the needle electrode, a very large electric field intensity will be generated near its tip, which will ionize the surrounding air into different types of ions. Under the action of a nonuniform electric field, these charged ions drive other molecules to move together in a directional movement to form an ion wind with a certain speed. When these high-speed moving particles hit the surface of the water-bearing material, they will blow away the water molecules, thereby reducing the nearby moisture, increasing the moisture gradient inside the material, improving the moisture diffusion inside the material, and making it easier for the internal moisture to reach the surface to achieve drying.


### 2.2. Sample Preparations

Fresh potatoes of regular size and shape were purchased from the supermarket near the Inner Mongolia University of Technology in Hohhot, Inner Mongolia, China, for the experiment. Potatoes were washed and cut into 3 cm × 3 cm × 0.5 cm samples. Potato slices were pretreated with deionized water before the drying experiment to inhibit enzymatic browning effectively during the drying process, placed in the electric heating constant-temperature water tank (DK-600BS, Shanghai Kechen Experimental Equipment Co., Ltd., Shanghai, China) maintained at 100°C for 5 min, collected, and added with deionized water to cool for 5 min. The qualitative filter paper was used to absorb excess water on the surface.The initial moisture content of potatoes was measured using the rapid moisture tester (Sh10A, Shanghai Precision Instrument Co., Ltd., Shanghai, China), and the initial moisture content was 83% ± 1% (w.b.).


### 2.3. Experimental Method

The drying of potatoes was carried out under the conditions of an ambient temperature of 22 ± 1°C, relative humidity of 25% ± 2%, and airflow of 0 m·s−1.Potato slices treated with deionized water were placed into an ultrasonic processor for pretreatment. The ultrasonic power levels were 0 (Control), 150, 180, 210, 240, and 270 W. The corresponding treatment time was 30 min, and the water temperature was 30°C.The potato slices pretreated by ultrasound were placed into the EHD drying system for drying experiments. In each run, we place 3 potato slices (4.5 g per piece) inside the chamber. The corresponding voltage was 18 kV during EHD drying.In the above experiment, the electronic balance (Moilon MTQ200, Sartorius Scientific Instruments (Beijing) Co., Ltd., Beijing, China) was used to record the quality of potato samples every 0.5 h, stop drying until the moisture content is lower than 5% and the moisture content and drying rate of potato samples at different times were calculated in accordance with the formulae (2) and (3). Three samples are processed at a time for each experiment. Each experiment was independently repeated thrice, the number of slices and grams of each repeated experiment is basically the same, and results were expressed as mean ± standard deviation.


### 2.4. Determination of Moisture Content

The moisture content and ratio of potato slices during drying are defined as follows [3]:(1)Mi=mi−mgmg×100%,(2)MR=Mi−MeM0−Me,where mg (g) is the dry mass of the potato slice, mi (g) is the mass of the potato slice after drying for i h, M0 is the moisture content of the potato slice at time 0, Mi is the moisture content of the potato slice at time i, Me is the equilibrium moisture content of potato slices, and MR is the moisture ratio of potato slices.


### 2.5. Determination of Drying Rate

The drying rate formula of potato slices is as follows [19]:(3)DR=Mt−Mt+ΔtΔt,where DR (g water per g dry matter·h) is the drying rate, Mt is the moisture content of potato slices at time t, and Mt+Δt is the moisture content of potato slices at time t+Δt.


### 2.6. Determination of Shrinkage Rate

The formula of shrinkage is as follows [1]:(4)SR=V0−VfV0×100%,where SR is the shrinkage of potato slices, V0 (cm3) is the volume of fresh potato slices, and Vf (cm3) is the volume of dry potato slices.


### 2.7. Determination of Rehydration Rate

Dried potato slices (4.5 g per slice) were added with 100 mL deionized water. The mixture was soaked in the electric heating constant-temperature water tank at 37°C for 7 h. The potato slices were collected, and a qualitative filter paper was used to remove the excess water on the surface. The quality of potato chips before and after rehydration was recorded and determined using the electronic balance. The RR of potato slices was calculated using the following equation [19]:(5)RR=mamb,where RR is the rehydration rate of potato slices, ma (g) is the mass of potato slices after rehydration, and mb (g) is the mass of potato slices before rehydration.


### 2.8. Determination of Sample Color Difference

The brightness (L∗), redness (a∗), and yellowness (b∗) values of fresh and dried potato slices were measured using the automatic colorimeter (3nh-NR60CP, Shenzhen Sanenshi Technology Co., Ltd., Shenzhen, China). For the same sample, the experiment was repeated five times, and the average value was taken as the experimental result [10].(6)ΔE=L∗1−L∗02+a∗1−a∗02+b∗1−b∗02,where L∗0, a∗0, and b∗0 are the brightness, redness, and yellowness values, respectively, of the potato sample before drying. L∗1, a∗1, and b∗1 are the brightness, redness, and yellowness values, respectively, of potato slices after drying.


### 2.9. Determination of the Effective Moisture Diffusion Coefficient (Deff)

Deff during drying was calculated using Fick’s second law and expressed as [20](7)dMdt=Deffd2Mdr2.For long drying processes,MR<0.6, and the equation can be expressed as follows [11]:(8)MR=8π2⋅exp−π2Defft4L2,where Deff is the effective moisture diffusion coefficient of the sample and L is half of the thickness of the sample. The above equation can be written as [11](9)lnMR=−π2Deff4L2t+ln8π2.Deff can be measured from the relationship between lnMR and time. The Deff under each ultrasonic power was calculated by substituting the experimental data in the above formula. This coefficient was determined by simulating the relationship between experimental data lnMR and drying time. According to formula (9), the drying time graph gives a straight line with a slope, which can be expressed as [20](10)slope=−π2Deff4L2.Formula (10) is based on the assumption that the moisture diffusion coefficient is constant under the effect of each ultrasonic power and used to obtain the linear change in lnMR with drying time.


### 2.10. Determination of the Infrared Spectrum

Dried potato products were crushed, ground, mixed with potassium bromide at a ratio of 1 : 50, sieved, and placed in the hy-12 tablet press. The sample was scanned in the Fourier transform infrared spectrometer (IRTracer-100, SHIMADZU, Kyoto, Japan) to remove the interference of background, and the infrared scanning spectrum of the sample was obtained.


### 2.11. Scanning Electron Microscopy (SEM)

Dried potato slices were sprayed with gold and placed into the thermal field-emission SEM (Gemini300, Guangzhou Xingzhen Technology Co., Ltd., Guangzhou, China). The scale and magnification of 200μm and 50 were selected to observe the microstructure of potato samples and the effects and changes in the surface microstructure of each treatment group.


### 2.12. Determination of the Protein Secondary Structure

The amide I band in the infrared spectrum was used to assign a secondary structure to protein. In accordance with the theoretical calculation of infrared spectroscopy data, the percentages ofα-helix, β-sheet, β-turn, β-antiparallel, and random coil to the secondary structure of the protein were determined.


### 2.13. Mathematical Model Fitting and Parameter Statistics

Table1 shows eight mathematical models. The semiempirical and empirical mathematical models of thin-layer drying were used to fit the experimental data. The chi-squared (χ2), R-squared (R2), and root mean square error (ERMS) values were used to determine the quality of the fit. ERMS gives the deviation between predicted and experimental values. A high R2 (maximum value of 1) results in low χ2, which means that the mathematical model is suitable for simulating the drying process of materials. A simulation diagram of predicted and experimental MRs was drawn.Table 1
Mathematical models.
ModelModel equationReferencesLewisMR=e−at[21]PageMR=e−atb[20]Silva et al.MR=e−at−bt[22]Wang & SinghMR=at2+bt+1[23]WeibullMR=e−t/ab[22]Handerson & PabisMR=ae−bt[23]LogarithmicMR=a+be−ct[20]ParabolicMR=a+bt+ct2[21]The parameter calculation formula is as follows [17]:(11)R2=1−∑i=1NMRexp,i−MRpre,i2∑i=1NMRexp,i−MR¯exp2,(12)χ2=∑i=1NMRexp,i−MRpre,i2N−n,(13)ERMS=1N∑i=1NMRpre,i−MRexp,i2,where MRexp,i is the experimental MR found in any measurement, MRpre,i is the predicted MR for this measurement, MR¯exp is the total average data, N is the number of experimental measurements, and n is the number of constants in the drying model.


### 2.14. Statistical Analysis

A factorial experiment with a randomized complete design was used to analyze the effect of ultrasound pretreatment at 6 levels (Control, 150, 180, 210, 240, and 270 W) each with three replications (18 treatments). One-way ANOVA and significance analysis were performed using relevant data analysis software. The differences in drying rate, moisture content, RR, shrinkage, and color of potato slices were determined using one-way ANOVA.p<0.05 indicated a significant difference. The Pearson test was used to analyze the correlation between parameters.


## 2.1. Experimental Device

The EHD drying experimental device is shown in Figure1. This device was composed of a high-voltage power supply (YD(JZ)-1.5/50, Wuhan High Voltage Electrical Appliance Factory, Hubei, China), controller (KZX-1.5KVA, Wuhan High Voltage Electrical Appliance Factory, Hubei, China), and a multineedle-to-plate electrode system. The high-voltage power supply could output AC voltage with an adjustable voltage range (0–50 kV). Multineedle electrodes are made of stainless steel. The needle spacing between two needle electrodes was 4 cm, and each needle had a length of 60 mm and a diameter of 1 mm. The needle electrodes were arranged in multiple rows and lined up by stainless steel wire. The ground electrode was a 100 cm × 45 cm stainless steel plate, and a microammeter (C41, Shanghai Precision Instrument Co., Ltd., Shanghai, China) was connected between the bottom plate and the ground to measure the current generated during the experiment. The distance between the needle tip and the lower electrode plate was 4 cm.Figure 1
Electrohydrodynamic drying system. 1: high-voltage power source; 2: control system; 3: needle electrode; 4: sample; 5: ground electrode; 6: thermometer; 7: hygrometer.The ultrasonic pretreatment system (KQ-300DE, Kunshan Ultrasonic Instrument Co., Ltd., Jiangsu, China) is shown in Figure2. This device was composed of an ultrasonic generator, a processing chamber, and a control system. The power range of the ultrasonic generator was 0–300 W, and the water temperature control range was 10°C–80°C. The ultrasonic working frequency was 40 kHz. Since the experiment is still in the laboratory research stage, the maximum capacity of our equipment is small.Figure 2
Ultrasonic pretreatment system. 1: deionized water; 2: ultrasonic generator; 3: temperature regulator; 4: time regulator; 5: power regulator; 6: sample; 7: ultrasonic waves.After a high voltage is applied to the needle electrode, a very large electric field intensity will be generated near its tip, which will ionize the surrounding air into different types of ions. Under the action of a nonuniform electric field, these charged ions drive other molecules to move together in a directional movement to form an ion wind with a certain speed. When these high-speed moving particles hit the surface of the water-bearing material, they will blow away the water molecules, thereby reducing the nearby moisture, increasing the moisture gradient inside the material, improving the moisture diffusion inside the material, and making it easier for the internal moisture to reach the surface to achieve drying.


## 2.2. Sample Preparations

Fresh potatoes of regular size and shape were purchased from the supermarket near the Inner Mongolia University of Technology in Hohhot, Inner Mongolia, China, for the experiment. Potatoes were washed and cut into 3 cm × 3 cm × 0.5 cm samples. Potato slices were pretreated with deionized water before the drying experiment to inhibit enzymatic browning effectively during the drying process, placed in the electric heating constant-temperature water tank (DK-600BS, Shanghai Kechen Experimental Equipment Co., Ltd., Shanghai, China) maintained at 100°C for 5 min, collected, and added with deionized water to cool for 5 min. The qualitative filter paper was used to absorb excess water on the surface.The initial moisture content of potatoes was measured using the rapid moisture tester (Sh10A, Shanghai Precision Instrument Co., Ltd., Shanghai, China), and the initial moisture content was 83% ± 1% (w.b.).


## 2.3. Experimental Method

The drying of potatoes was carried out under the conditions of an ambient temperature of 22 ± 1°C, relative humidity of 25% ± 2%, and airflow of 0 m·s−1.Potato slices treated with deionized water were placed into an ultrasonic processor for pretreatment. The ultrasonic power levels were 0 (Control), 150, 180, 210, 240, and 270 W. The corresponding treatment time was 30 min, and the water temperature was 30°C.The potato slices pretreated by ultrasound were placed into the EHD drying system for drying experiments. In each run, we place 3 potato slices (4.5 g per piece) inside the chamber. The corresponding voltage was 18 kV during EHD drying.In the above experiment, the electronic balance (Moilon MTQ200, Sartorius Scientific Instruments (Beijing) Co., Ltd., Beijing, China) was used to record the quality of potato samples every 0.5 h, stop drying until the moisture content is lower than 5% and the moisture content and drying rate of potato samples at different times were calculated in accordance with the formulae (2) and (3). Three samples are processed at a time for each experiment. Each experiment was independently repeated thrice, the number of slices and grams of each repeated experiment is basically the same, and results were expressed as mean ± standard deviation.


## 2.4. Determination of Moisture Content

The moisture content and ratio of potato slices during drying are defined as follows [3]:(1)Mi=mi−mgmg×100%,(2)MR=Mi−MeM0−Me,where mg (g) is the dry mass of the potato slice, mi (g) is the mass of the potato slice after drying for i h, M0 is the moisture content of the potato slice at time 0, Mi is the moisture content of the potato slice at time i, Me is the equilibrium moisture content of potato slices, and MR is the moisture ratio of potato slices.


## 2.5. Determination of Drying Rate

The drying rate formula of potato slices is as follows [19]:(3)DR=Mt−Mt+ΔtΔt,where DR (g water per g dry matter·h) is the drying rate, Mt is the moisture content of potato slices at time t, and Mt+Δt is the moisture content of potato slices at time t+Δt.


## 2.6. Determination of Shrinkage Rate

The formula of shrinkage is as follows [1]:(4)SR=V0−VfV0×100%,where SR is the shrinkage of potato slices, V0 (cm3) is the volume of fresh potato slices, and Vf (cm3) is the volume of dry potato slices.


## 2.7. Determination of Rehydration Rate

Dried potato slices (4.5 g per slice) were added with 100 mL deionized water. The mixture was soaked in the electric heating constant-temperature water tank at 37°C for 7 h. The potato slices were collected, and a qualitative filter paper was used to remove the excess water on the surface. The quality of potato chips before and after rehydration was recorded and determined using the electronic balance. The RR of potato slices was calculated using the following equation [19]:(5)RR=mamb,where RR is the rehydration rate of potato slices, ma (g) is the mass of potato slices after rehydration, and mb (g) is the mass of potato slices before rehydration.


## 2.8. Determination of Sample Color Difference

The brightness (L∗), redness (a∗), and yellowness (b∗) values of fresh and dried potato slices were measured using the automatic colorimeter (3nh-NR60CP, Shenzhen Sanenshi Technology Co., Ltd., Shenzhen, China). For the same sample, the experiment was repeated five times, and the average value was taken as the experimental result [10].(6)ΔE=L∗1−L∗02+a∗1−a∗02+b∗1−b∗02,where L∗0, a∗0, and b∗0 are the brightness, redness, and yellowness values, respectively, of the potato sample before drying. L∗1, a∗1, and b∗1 are the brightness, redness, and yellowness values, respectively, of potato slices after drying.


## 2.9. Determination of the Effective Moisture Diffusion Coefficient (Deff)

Deff during drying was calculated using Fick’s second law and expressed as [20](7)dMdt=Deffd2Mdr2.For long drying processes,MR<0.6, and the equation can be expressed as follows [11]:(8)MR=8π2⋅exp−π2Defft4L2,where Deff is the effective moisture diffusion coefficient of the sample and L is half of the thickness of the sample. The above equation can be written as [11](9)lnMR=−π2Deff4L2t+ln8π2.Deff can be measured from the relationship between lnMR and time. The Deff under each ultrasonic power was calculated by substituting the experimental data in the above formula. This coefficient was determined by simulating the relationship between experimental data lnMR and drying time. According to formula (9), the drying time graph gives a straight line with a slope, which can be expressed as [20](10)slope=−π2Deff4L2.Formula (10) is based on the assumption that the moisture diffusion coefficient is constant under the effect of each ultrasonic power and used to obtain the linear change in lnMR with drying time.


## 2.10. Determination of the Infrared Spectrum

Dried potato products were crushed, ground, mixed with potassium bromide at a ratio of 1 : 50, sieved, and placed in the hy-12 tablet press. The sample was scanned in the Fourier transform infrared spectrometer (IRTracer-100, SHIMADZU, Kyoto, Japan) to remove the interference of background, and the infrared scanning spectrum of the sample was obtained.


## 2.11. Scanning Electron Microscopy (SEM)

Dried potato slices were sprayed with gold and placed into the thermal field-emission SEM (Gemini300, Guangzhou Xingzhen Technology Co., Ltd., Guangzhou, China). The scale and magnification of 200μm and 50 were selected to observe the microstructure of potato samples and the effects and changes in the surface microstructure of each treatment group.


## 2.12. Determination of the Protein Secondary Structure

The amide I band in the infrared spectrum was used to assign a secondary structure to protein. In accordance with the theoretical calculation of infrared spectroscopy data, the percentages ofα-helix, β-sheet, β-turn, β-antiparallel, and random coil to the secondary structure of the protein were determined.


## 2.13. Mathematical Model Fitting and Parameter Statistics

Table1 shows eight mathematical models. The semiempirical and empirical mathematical models of thin-layer drying were used to fit the experimental data. The chi-squared (χ2), R-squared (R2), and root mean square error (ERMS) values were used to determine the quality of the fit. ERMS gives the deviation between predicted and experimental values. A high R2 (maximum value of 1) results in low χ2, which means that the mathematical model is suitable for simulating the drying process of materials. A simulation diagram of predicted and experimental MRs was drawn.Table 1
Mathematical models.
ModelModel equationReferencesLewisMR=e−at[21]PageMR=e−atb[20]Silva et al.MR=e−at−bt[22]Wang & SinghMR=at2+bt+1[23]WeibullMR=e−t/ab[22]Handerson & PabisMR=ae−bt[23]LogarithmicMR=a+be−ct[20]ParabolicMR=a+bt+ct2[21]The parameter calculation formula is as follows [17]:(11)R2=1−∑i=1NMRexp,i−MRpre,i2∑i=1NMRexp,i−MR¯exp2,(12)χ2=∑i=1NMRexp,i−MRpre,i2N−n,(13)ERMS=1N∑i=1NMRpre,i−MRexp,i2,where MRexp,i is the experimental MR found in any measurement, MRpre,i is the predicted MR for this measurement, MR¯exp is the total average data, N is the number of experimental measurements, and n is the number of constants in the drying model.


## 2.14. Statistical Analysis

A factorial experiment with a randomized complete design was used to analyze the effect of ultrasound pretreatment at 6 levels (Control, 150, 180, 210, 240, and 270 W) each with three replications (18 treatments). One-way ANOVA and significance analysis were performed using relevant data analysis software. The differences in drying rate, moisture content, RR, shrinkage, and color of potato slices were determined using one-way ANOVA.p<0.05 indicated a significant difference. The Pearson test was used to analyze the correlation between parameters.


## 3. Results and Discussion

### 3.1. Effect of Different Ultrasonic Power Pretreatment Conditions on the MR of Potato Slices

Figure3 shows the effect of different ultrasonic power pretreatment conditions on the change in MR during the EHD drying process. In Figure 3, the use of 180 W ultrasonic pretreatment resulted in the fastest decrease in moisture content. The drying speed followed the order: 180 W > 210 W > 240 W > 270 W > 150 W > control. After ultrasonic pretreatment, the moisture content of potatoes decreased significantly faster than the control. Jarahizadeh and Taghian Dinani used ultrasonic pretreatment combined with convection to dry potatoes and concluded that the rates of decrease in the moisture content of the ultrasonic pretreatment groups are significantly higher than those of the control group [24]. The results of ultrasonic pretreatment combined with infrared freeze-dried sweet potato slices show that the moisture content of sweet potato after ultrasonic pretreatment decreases faster than that of the control [25]. These findings were consistent with our experimental results.Figure 3
Diagram of the moisture ratio change in potato slices under different ultrasonic pretreatment conditions.


### 3.2. Effect of Different Ultrasonic Power Pretreatment Conditions on the Drying Rate of Potato Slices

Figure4 shows the effect of different ultrasonic power pretreatment conditions on the change in drying ratio during the EHD drying process. Figure 4 shows that, in the initial stage, the drying rate was high and gradually decreased as moisture content decreased. The drying rate of ultrasonic pretreatment was higher than that of the control group, and varying changes in ultrasonic power also changed the drying rate of potato slices. The drying speed followed the order: 180 W > 210 W > 240 W > 270 W > 150 W > control. The drying rate of potato slices with ultrasonic pretreatment combined with EHD drying increased first and then decreased, and the drying rate of the pretreatment group was significantly higher than that of the control group. Puig et al. used ultrasonic pretreatment combined with the convection drying of eggplant and obtained that the drying rate of the ultrasonic pretreatment group was significantly higher than that of the control group [26]. Figure 5 shows that the average drying rate of the sample after ultrasonic pretreatment is significantly (p<0.05) improved compared to the control group. Under the condition of 180 W, the average drying rate reaches the maximum value. Xi et al. studied the ultrasonic power combined with far-infrared radiation to dry potato slices and found that, compared with the control, the ultrasonic pretreatment could increase the average drying rate of the material. [5]. This finding was the same as our experimental results, which further confirmed that the ultrasonic pretreatment had a positive effect on improving the drying rate.Figure 4
Diagram of the drying rate change in potato slices under different ultrasonic pretreatment conditions.Figure 5
Diagram of the average drying rate change in potato slices under different ultrasonic pretreatment conditions. Data are shown as the mean ± SD. For each response, means with different lowercase letters are significantly different (p<0.05).


### 3.3. Effect of Different Ultrasonic Power Pretreatment Conditions on the RR of Potato Slices

The rehydration characteristics of dried products can well reflect the physicochemical changes in samples during the drying process and can be used as an index to evaluate the quality of dried samples. Figure6 shows the effect of different ultrasonic power pretreatment conditions on the change in RR during the EHD drying process. The RR followed the order: 180 W > 210 W > 240 W > 150 W > 270 W > control. The RRs were 5.7704, 4.8367, 4.2537, 3.7579, 3.4977, and 2.8336, respectively. The appropriate ultrasonic power could increase the RR of potato slices. When the ultrasonic wave exceeded a certain power, the RR of potato slices decreased to a certain extent. However, a high power did not necessarily mean improved quality. Duan et al. studied the ultrasonic pretreatment combined with the microwave freeze-drying of sea cucumbers and found that, compared with the osmotic solution pretreatment combined with microwave freeze-drying and direct microwave freeze-drying without pretreatment, the rehydration ability of dried products improved evidently after ultrasonic pretreatment [27]. The ultrasonic pretreatment can improve the rehydration ability of dry products due to the damage of the cell wall caused by ultrasonic waves, resulting in serious surface tissue collapse, enhanced water penetration into the cell, and improved RR [28]. Previous studies showed that ultrasonic pretreatment combined with high-voltage electric field drying can significantly improve the RR of dried wolfberry products [19], and this finding was consistent with our experimental results.Figure 6
Diagram of the rehydration rate change in potato slices under different ultrasonic pretreatment conditions. Data are shown as the mean ± SD. For each response, means with different lowercase letters are significantly different (p<0.05).


### 3.4. Effect of Different Ultrasonic Power Pretreatment Conditions on the SR of Potato Slices

Figure7 shows the effect of different ultrasonic power pretreatment conditions on the change in the SR during the EHD drying process. The SRs of potato slices subjected to ultrasonic power values of 0 (control), 150, 180, 210, 240, and 270 W were 0.8158, 0.8217, 0.8664, 0.8383, 0.8516, and 0.8407, respectively (Figure 7). The one-way ANOVA showed no significant difference among treatment groups (p>0.05). Shrinkage is an important parameter to evaluate the quality of materials after drying. Shrinkage is remarkably correlated with the structural characteristics and final moisture content of materials but has a small correlation with the drying method. Bai et al. dried scallop muscle by using the EHD drying and found that the final shrinkage values of the EHD drying (63.70%) and control (65.81%) groups were not significantly (p>0.05) different [29]. Esehaghbeygi et al. found no significant difference in the shrinkage of banana slices after drying at electric field intensities of 6, 8, and 10 kV·cm−1 [30]. The EHD drying of wolfberry in the early stage was studied, and results showed that the SRs of wolfberry after drying at 0, 20, 24, 28, and 32 kV were 73.581%, 73.665%, 73.624%, 71.834%, and 72.760%, respectively, and had no significant difference [31]. These studies were consistent with our experimental results.Figure 7
Diagram of the shrinkage rate change in potato slices under different ultrasonic pretreatment conditions. Data are shown as the mean ± SD. For each response, means with different lowercase letters are significantly different (p<0.05).


### 3.5. Effect of Different Ultrasonic Power Pretreatment Conditions on the Color of Potato Slices

Color is an important parameter of food quality. In the drying process of dehydrated vegetables, compounds in the material in the form of polyphenols may affect the color and flavor of the treated tissue due to Maillard reaction, pigment degradation, enzymatic browning, vitamin C oxidation, and other factors [30]. Table 2 shows the color difference changes in potato slices before and after drying under different ultrasonic power pretreatment conditions. Table 2 shows that the L∗ values of dried potato slices are significantly different from those of fresh potato slices (p>0.05). However, little differences between a∗ and b∗ values were observed. L∗ of the potato after ultrasonic pretreatment was significantly lower than that of the control, and no significant difference among the pretreatment groups was observed (p>0.05), which might be due to the strong inhibitory effect of ultrasonic pretreatment on the activity of polyphenol oxidase. The a∗ values of potatoes after ultrasonic pretreatments except those treated at 240 W were higher than those of the control (p>0.05). The change in a∗ was due to the Maillard reaction during drying. The values of b∗ in all treatment groups were lower than those in the control group (32.6813). Wu et al. used ultrasound to pretreat sweet potatoes and found that as the ultrasound power increases, L∗ and b∗ decrease. These findings were similar to our experimental results [23]. ΔE was calculated to determine the color change. As the power increased, ΔE first increased and then decreased, reaching a minimum value (9.8281) at 240 W.Table 2
Color difference changes in potatoes before and after drying under different ultrasonic power pretreatment conditions.
PowerL∗a∗b∗ΔE∗Fresh65.8810 ± 1.1350a3.3047 ± 0.2365bc29.6543 ± 1.8291ab—Control49.5650 ± 2.0537b↓3.3260 ± 0.2266b↑32.6813 ± 1.1714a↑10.7697 ± 0.5095b150 W42.2677 ± 0.2990c↓4.8923 ± 0.1857ab↑28.7000 ± 0.3376b↓13.9246 ± 0.5920a↑180 W41.6267 ± 0.9689c↓4.0117 ± 0.2729b↑25.3710 ± 0.4482bc↓11.7631 ± 0.8309b↑210 W41.5807 ± 0.7307c↓5.3187 ± 0.3991a↑29.4643 ± 0.4117ab↓10.9377 ± 0.7059b↓240 W43.6750 ± 0.5110c↓2.3957 ± 0.3649c↓24.8277 ± 0.5895c↓9.8281 ± 0.6680b↓270 W40.6087 ± 0.1839c↓3.5007 ± 0.0756b↑25.1860 ± 1.6045bc↓10.5204 ± 1.4174b↓


### 3.6. Effect of Different Ultrasonic Power Pretreatment Conditions onDeff of Potato Slices

Table3 shows that, under ultrasonic pretreatment, Deff of potato slices could be improved. With increasing power, Deff first increased and then decreased. In the 180 W ultrasonic pretreatment group, Deff reached the highest value (4.1660 × 10−7 m2·s−1). Appropriate ultrasonic power pretreatment could maximize the ability of effective moisture diffusion and then improve the drying efficiency of potato slices. Zhao et al. used ultrasonic pretreatment combined with microwave vacuum to dry lotus seeds and found that ultrasonic treatment at 20 or 35 kHz significantly accelerated the drying speed and increased Deff. At ultrasonic treatment of 80 kHz, no increase in drying rate was observed [32]. This finding also explained that not all ultrasonic pretreatment power could increase the Deff in the material and improved the drying speed, which was the same as our experimental results. When the ultrasonic power increased to a certain extent, the cavitation effect was limited, and Deff decreased.Table 3
Effect of different ultrasonic power pretreatment conditions on the effective moisture diffusion coefficient of potato slices.
PowerLinear analog equationR2Deff × 10−7 (m2/s)ControllnMR=−0.1345t+0.91550.97783.4070150 WlnMR=−0.1416t+0.87640.95453.5870180 WlnMR=−0.1625t+0.89520.96704.1160210 WlnMR=−0.1488t+0.88730.95933.7690240 WlnMR=−0.1454t+0.87690.95483.6830270 WlnMR=−0.1432t+0.87730.95773.6270


### 3.7. Effect of Different Ultrasonic Power Pretreatment Conditions on the Infrared Spectrum of Potato Slices

Figure8 shows the infrared spectra of potato pretreated with different ultrasonic power values. The infrared spectra of potato slices under different ultrasonic power pretreatment conditions were similar, and the positions of spectral bands were relatively close (Figure 8). However, the characteristic absorption peak intensities were significantly different. The absorbance increased first and then decreased with increasing power. The spectral peak positions were similar. Compared with those of the control group, the characteristic band intensities of 150, 180, and 210 W pretreatment groups were larger, and those of 240 and 270 W pretreatment groups were smaller. At different ultrasonic power pretreatment conditions, the chemical components of potatoes were the same, but the appropriate ultrasonic power pretreatment could remarkably preserve effective nutrients. Data showed that the main characteristic absorption peaks in the infrared spectrum were assigned. The stretching vibrations of N-H and O-H of polysaccharides, glycosides, amino acids, and proteins were observed near 3408 cm−1 [33]. The C-H stretching vibration of fatty acids was near 2937 cm−1 [33]. The C=O stretching vibration of carboxylic acids or esters was near 1650–1630 cm−1 [34]. The peak near 1417 cm−1 was attributed to fructose, and the peak near 1155 cm−1 was the C-O stretching vibration of fructose. The peak near 1034 cm−1 was the C-O stretching vibration of glucose, C-C stretching vibration, and C-O-H bending vibration, and the peak near 929 cm−1 was the C-C stretching vibration [35]. Figure 8 shows the effect of different ultrasonic power pretreatment conditions on the effective nutrients of potato slices subjected to EHD drying and provides a deep understanding of the EHD drying mechanism combined with ultrasonic power pretreatment.Figure 8
Infrared spectra of potato slices under different ultrasonic pretreatment conditions.


### 3.8. Effect of Different Ultrasonic Power Pretreatment Conditions on the Surface Microstructures of Potato Slices

Figure9 shows the surface microstructure of potato slices pretreated with different ultrasonic power values. Figure 9 shows that the control group had deep textures and no evident pore. Textures became shallow after ultrasonic pretreatment and smoothened as the power increased. Some pores were observed in the 150, 180, 210, and 240 W ultrasonic pretreatment groups. The cavitation effect of ultrasonic waves destroyed the surface texture of the material and smoothened the texture. Some pores were created under a certain power, thereby accelerating the water loss of the material and increasing the drying rate. Rashid et al. studied the ultrasonic pretreatment of potatoes and found pores [36]. As the power increased to 270 W, the surface of potato slices smoothened. Puig et al. subjected eggplant to ultrasonic pretreatment and showed similar results [26]. Garcia-Perez et al. studied the ultrasonic drying of orange peels and found that, with increased ultrasonic power, the pores produced by the cavitation effect increased first and then decreased [37]. This finding was similar to our experimental results. The microstructure analysis further confirmed that the ultrasonic pretreatment had a remarkable influence on the surface of potatoes and affected the drying speed, quality, and various indicators of potato slices.Figure 9
Microstructures of potato slices pretreated with different ultrasonic power values: (a) 0 (control), (b) 150, (c) 180, (d) 210, (e) 240, and (f) 270 W.
(a)(b)(c)(d)(e)(f)


### 3.9. Effect of Different Ultrasonic Power Pretreatment Conditions on the Protein Secondary Structure of Potato Slices

Table4 shows the calculation results of the protein secondary structure. The shape of the amide I band ranging from 1600 cm−1 to 1700 cm−1 was used to determine the secondary structure of the protein [38]. The corresponding relationship between each subpeak and secondary structure was as follows: 1610–1642 cm−1, β-sheet; 1642–1650 cm−1, random coil; 1650–1660 cm−1, α-helix; 1660–1680 cm−1, β-turn; and 1680–1700 cm−1, β-antiparallel [39]. α-helix and β-sheet (parallel and antiparallel) represented ordered structures, whereas β-turn and random coils represented disordered structures [40]. Table 4 shows that the content of the random coil increased with increasing power. The content of α-helix in the pretreatment group was lower than that in the control group. The content of β-turn in the pretreatment group was higher than that in the control group. The content of β-antiparallel remained unchanged, and the content of β-sheets gradually decreased with increasing power. These experimental results provided a new idea for the research of ultrasonic pretreatment and EHD drying mechanisms.Table 4
Calculation results of protein secondary structure.
ConditionsRandom coil (%)α-Helix (%)β-Turn (%)β-Antiparallel (%)β-Sheet (%)Control7.8319.3525.547.9237.73150 W11.2912.0930.046.3038.38180 W11.5811.5627.489.8539.54210 W13.8214.2633.765.3532.80240 W14.217.2833.146.9331.15270 W23.3311.5626.788.2330.10


### 3.10. Statistical Analysis Results of MR and Drying Time Modeling

Table5 shows the fitting results of the drying mathematical model. Eight thin-layer drying models were fitted with the experimental data by using software, and the goodness-of-fit indices, such as R2, χ2, and ERMS, were used to evaluate the fitted drying models. Results are shown in Table 5. The R2 values of eight models were greater than 0.95 (Table 5), indicating that the eight thin-layer drying mathematical models could be used to simulate the drying process of potato slices with different ultrasonic power values. Among them, the logarithmic thin-layer drying mathematical model showed that R2 was 0.99950–1.00000, which was the maximum value of eight thin-layer drying mathematical models and closest to 1. χ2 was 0.000002–0.000056, and ERMS of 0.001366–0.007503 was the minimum value of eight thin-layer drying mathematical models. Therefore, the logarithmic thin-layer drying mathematical model was the most suitable to simulate the drying process of potato slices with different ultrasonic power values. Figure 10 shows the comparison between predicted and experimental MRs. The slope of the graph drawn using the logarithmic model prediction and the experimental moisture content data (Figure 10) was approximately 1, which further proved that the logarithmic model was suitable for the fitting of the drying curve of potato slices subjected to combined EHD drying and ultrasonic pretreatment.Table 5
Statistical analysis results of moisture ratio and drying time modeling.
ModelConditionsabcR2χ2ERMSLewisControl0.2730——0.984960.0012050.034710150 W0.3329——0.992110.0006900.026260180 W0.3756——0.974940.0025940.050930210 W0.3461——0.982750.0016560.040700240 W0.3461——0.988300.0010810.032880270 W0.3367——0.990360.0008570.029270PageControl0.20961.2170—0.996850.0002270.015080150 W0.27881.1570—0.998900.0001060.010280180 W0.27001.3050—0.994600.0006060.024620210 W0.26031.2560—0.998200.0001930.013890240 W0.27721.2000—0.998500.0001540.012420270 W0.27791.1700—0.998100.0001820.013500Silva et al.Control0.3519−0.1392—0.994600.0004710.021710150 W0.4061−0.1233—0.997500.0002400.015490180 W0.5151−0.2284—0.988900.0012590.035480210 W0.4643−0.1969—0.994900.0005380.023200240 W0.4411−0.1582—0.996300.0003700.019230270 W0.4142−0.1303—0.996200.0003660.019130Wang & SinghControl0.0115−0.2133—0.999400.0000500.007068150 W0.0191−0.2641—0.999400.0000550.007434180 W0.0185−0.2743—0.999900.0000130.003566210 W0.0179−0.2633—0.999800.0000190.004387240 W0.0191−0.2684—0.999600.0000370.006102270 W0.0187−0.2638—0.999300.0000630.007961WeibullEHD3.61101.2170—0.997400.0002270.015080150 W3.01601.1570—0.998900.0001060.010280180 W2.72701.3050—0.994600.0006060.024620210 W2.92101.2560—0.998200.0001930.013890240 W2.91401.2000—0.998500.0001540.012420270 W2.98701.1700—0.998100.0001820.013500Handerson & PabisControl1.04100.2867—0.988600.0009940.031520150 W1.03200.3448—0.994000.0005710.023890180 W1.05400.3963—0.979400.0023310.048280210 W1.05100.3649—0.987000.0013610.036890240 W1.04100.3613—0.991100.0008950.029920270 W1.03300.3490—0.992400.0007410.027230LogarithmicControl−0.42601.42900.157800.999600.0000380.006165150 W−0.17881.18300.249000.999900.0000080.002759180 W−0.35291.35700.221000.999700.0000380.006194210 W−0.27881.29000.227600.999500.0000560.007503240 W−0.21611.22300.245500.999800.0000190.004340270 W−0.20991.21100.240101.000000.0000020.001366ParabolicControl0.9974−0.21160.011260.999440.0000540.007324150 W0.9916−0.25880.018340.999500.0000470.006874180 W0.9946−0.27090.018070.999900.0000080.002894210 W1.0010−0.26400.017950.999800.0000210.004573240 W0.9948−0.26510.018690.999700.0000360.005969270 W0.9894−0.25700.017810.999600.0000480.006915Figure 10
Moisture ratio predicted by the logarithmic model and the experimental moisture ratio.


### 3.11. Analysis of Correlation Coefficient Results

Figure11 shows the Pearson correlation coefficient of potato slices pretreated at different ultrasonic power values. The root cause between the internal and external changes was explored through the calculation and analysis of the Pearson correlation coefficient. T had a significant and negative correlation with β-sheet (r = −0.87) and a significant and positive correlation with the random coil (r = 0.90). MR was significantly and negatively correlated with RR (r = −0.97) and SR (r = −0.91). DR was significantly and negatively correlated with L∗ (r = −0.92). RR was significantly and positively correlated with SR (r = 0.84).b∗ was significantly positively and correlated with α-helix (r = 0.91).Figure 11
Pearson’s correlation coefficient matrix.T, drying time; RR, rehydration rate; SR, shrinkage rate.


## 3.1. Effect of Different Ultrasonic Power Pretreatment Conditions on the MR of Potato Slices

Figure3 shows the effect of different ultrasonic power pretreatment conditions on the change in MR during the EHD drying process. In Figure 3, the use of 180 W ultrasonic pretreatment resulted in the fastest decrease in moisture content. The drying speed followed the order: 180 W > 210 W > 240 W > 270 W > 150 W > control. After ultrasonic pretreatment, the moisture content of potatoes decreased significantly faster than the control. Jarahizadeh and Taghian Dinani used ultrasonic pretreatment combined with convection to dry potatoes and concluded that the rates of decrease in the moisture content of the ultrasonic pretreatment groups are significantly higher than those of the control group [24]. The results of ultrasonic pretreatment combined with infrared freeze-dried sweet potato slices show that the moisture content of sweet potato after ultrasonic pretreatment decreases faster than that of the control [25]. These findings were consistent with our experimental results.Figure 3
Diagram of the moisture ratio change in potato slices under different ultrasonic pretreatment conditions.


## 3.2. Effect of Different Ultrasonic Power Pretreatment Conditions on the Drying Rate of Potato Slices

Figure4 shows the effect of different ultrasonic power pretreatment conditions on the change in drying ratio during the EHD drying process. Figure 4 shows that, in the initial stage, the drying rate was high and gradually decreased as moisture content decreased. The drying rate of ultrasonic pretreatment was higher than that of the control group, and varying changes in ultrasonic power also changed the drying rate of potato slices. The drying speed followed the order: 180 W > 210 W > 240 W > 270 W > 150 W > control. The drying rate of potato slices with ultrasonic pretreatment combined with EHD drying increased first and then decreased, and the drying rate of the pretreatment group was significantly higher than that of the control group. Puig et al. used ultrasonic pretreatment combined with the convection drying of eggplant and obtained that the drying rate of the ultrasonic pretreatment group was significantly higher than that of the control group [26]. Figure 5 shows that the average drying rate of the sample after ultrasonic pretreatment is significantly (p<0.05) improved compared to the control group. Under the condition of 180 W, the average drying rate reaches the maximum value. Xi et al. studied the ultrasonic power combined with far-infrared radiation to dry potato slices and found that, compared with the control, the ultrasonic pretreatment could increase the average drying rate of the material. [5]. This finding was the same as our experimental results, which further confirmed that the ultrasonic pretreatment had a positive effect on improving the drying rate.Figure 4
Diagram of the drying rate change in potato slices under different ultrasonic pretreatment conditions.Figure 5
Diagram of the average drying rate change in potato slices under different ultrasonic pretreatment conditions. Data are shown as the mean ± SD. For each response, means with different lowercase letters are significantly different (p<0.05).


## 3.3. Effect of Different Ultrasonic Power Pretreatment Conditions on the RR of Potato Slices

The rehydration characteristics of dried products can well reflect the physicochemical changes in samples during the drying process and can be used as an index to evaluate the quality of dried samples. Figure6 shows the effect of different ultrasonic power pretreatment conditions on the change in RR during the EHD drying process. The RR followed the order: 180 W > 210 W > 240 W > 150 W > 270 W > control. The RRs were 5.7704, 4.8367, 4.2537, 3.7579, 3.4977, and 2.8336, respectively. The appropriate ultrasonic power could increase the RR of potato slices. When the ultrasonic wave exceeded a certain power, the RR of potato slices decreased to a certain extent. However, a high power did not necessarily mean improved quality. Duan et al. studied the ultrasonic pretreatment combined with the microwave freeze-drying of sea cucumbers and found that, compared with the osmotic solution pretreatment combined with microwave freeze-drying and direct microwave freeze-drying without pretreatment, the rehydration ability of dried products improved evidently after ultrasonic pretreatment [27]. The ultrasonic pretreatment can improve the rehydration ability of dry products due to the damage of the cell wall caused by ultrasonic waves, resulting in serious surface tissue collapse, enhanced water penetration into the cell, and improved RR [28]. Previous studies showed that ultrasonic pretreatment combined with high-voltage electric field drying can significantly improve the RR of dried wolfberry products [19], and this finding was consistent with our experimental results.Figure 6
Diagram of the rehydration rate change in potato slices under different ultrasonic pretreatment conditions. Data are shown as the mean ± SD. For each response, means with different lowercase letters are significantly different (p<0.05).


## 3.4. Effect of Different Ultrasonic Power Pretreatment Conditions on the SR of Potato Slices

Figure7 shows the effect of different ultrasonic power pretreatment conditions on the change in the SR during the EHD drying process. The SRs of potato slices subjected to ultrasonic power values of 0 (control), 150, 180, 210, 240, and 270 W were 0.8158, 0.8217, 0.8664, 0.8383, 0.8516, and 0.8407, respectively (Figure 7). The one-way ANOVA showed no significant difference among treatment groups (p>0.05). Shrinkage is an important parameter to evaluate the quality of materials after drying. Shrinkage is remarkably correlated with the structural characteristics and final moisture content of materials but has a small correlation with the drying method. Bai et al. dried scallop muscle by using the EHD drying and found that the final shrinkage values of the EHD drying (63.70%) and control (65.81%) groups were not significantly (p>0.05) different [29]. Esehaghbeygi et al. found no significant difference in the shrinkage of banana slices after drying at electric field intensities of 6, 8, and 10 kV·cm−1 [30]. The EHD drying of wolfberry in the early stage was studied, and results showed that the SRs of wolfberry after drying at 0, 20, 24, 28, and 32 kV were 73.581%, 73.665%, 73.624%, 71.834%, and 72.760%, respectively, and had no significant difference [31]. These studies were consistent with our experimental results.Figure 7
Diagram of the shrinkage rate change in potato slices under different ultrasonic pretreatment conditions. Data are shown as the mean ± SD. For each response, means with different lowercase letters are significantly different (p<0.05).


## 3.5. Effect of Different Ultrasonic Power Pretreatment Conditions on the Color of Potato Slices

Color is an important parameter of food quality. In the drying process of dehydrated vegetables, compounds in the material in the form of polyphenols may affect the color and flavor of the treated tissue due to Maillard reaction, pigment degradation, enzymatic browning, vitamin C oxidation, and other factors [30]. Table 2 shows the color difference changes in potato slices before and after drying under different ultrasonic power pretreatment conditions. Table 2 shows that the L∗ values of dried potato slices are significantly different from those of fresh potato slices (p>0.05). However, little differences between a∗ and b∗ values were observed. L∗ of the potato after ultrasonic pretreatment was significantly lower than that of the control, and no significant difference among the pretreatment groups was observed (p>0.05), which might be due to the strong inhibitory effect of ultrasonic pretreatment on the activity of polyphenol oxidase. The a∗ values of potatoes after ultrasonic pretreatments except those treated at 240 W were higher than those of the control (p>0.05). The change in a∗ was due to the Maillard reaction during drying. The values of b∗ in all treatment groups were lower than those in the control group (32.6813). Wu et al. used ultrasound to pretreat sweet potatoes and found that as the ultrasound power increases, L∗ and b∗ decrease. These findings were similar to our experimental results [23]. ΔE was calculated to determine the color change. As the power increased, ΔE first increased and then decreased, reaching a minimum value (9.8281) at 240 W.Table 2
Color difference changes in potatoes before and after drying under different ultrasonic power pretreatment conditions.
PowerL∗a∗b∗ΔE∗Fresh65.8810 ± 1.1350a3.3047 ± 0.2365bc29.6543 ± 1.8291ab—Control49.5650 ± 2.0537b↓3.3260 ± 0.2266b↑32.6813 ± 1.1714a↑10.7697 ± 0.5095b150 W42.2677 ± 0.2990c↓4.8923 ± 0.1857ab↑28.7000 ± 0.3376b↓13.9246 ± 0.5920a↑180 W41.6267 ± 0.9689c↓4.0117 ± 0.2729b↑25.3710 ± 0.4482bc↓11.7631 ± 0.8309b↑210 W41.5807 ± 0.7307c↓5.3187 ± 0.3991a↑29.4643 ± 0.4117ab↓10.9377 ± 0.7059b↓240 W43.6750 ± 0.5110c↓2.3957 ± 0.3649c↓24.8277 ± 0.5895c↓9.8281 ± 0.6680b↓270 W40.6087 ± 0.1839c↓3.5007 ± 0.0756b↑25.1860 ± 1.6045bc↓10.5204 ± 1.4174b↓


## 3.6. Effect of Different Ultrasonic Power Pretreatment Conditions onDeff of Potato Slices

Table3 shows that, under ultrasonic pretreatment, Deff of potato slices could be improved. With increasing power, Deff first increased and then decreased. In the 180 W ultrasonic pretreatment group, Deff reached the highest value (4.1660 × 10−7 m2·s−1). Appropriate ultrasonic power pretreatment could maximize the ability of effective moisture diffusion and then improve the drying efficiency of potato slices. Zhao et al. used ultrasonic pretreatment combined with microwave vacuum to dry lotus seeds and found that ultrasonic treatment at 20 or 35 kHz significantly accelerated the drying speed and increased Deff. At ultrasonic treatment of 80 kHz, no increase in drying rate was observed [32]. This finding also explained that not all ultrasonic pretreatment power could increase the Deff in the material and improved the drying speed, which was the same as our experimental results. When the ultrasonic power increased to a certain extent, the cavitation effect was limited, and Deff decreased.Table 3
Effect of different ultrasonic power pretreatment conditions on the effective moisture diffusion coefficient of potato slices.
PowerLinear analog equationR2Deff × 10−7 (m2/s)ControllnMR=−0.1345t+0.91550.97783.4070150 WlnMR=−0.1416t+0.87640.95453.5870180 WlnMR=−0.1625t+0.89520.96704.1160210 WlnMR=−0.1488t+0.88730.95933.7690240 WlnMR=−0.1454t+0.87690.95483.6830270 WlnMR=−0.1432t+0.87730.95773.6270


## 3.7. Effect of Different Ultrasonic Power Pretreatment Conditions on the Infrared Spectrum of Potato Slices

Figure8 shows the infrared spectra of potato pretreated with different ultrasonic power values. The infrared spectra of potato slices under different ultrasonic power pretreatment conditions were similar, and the positions of spectral bands were relatively close (Figure 8). However, the characteristic absorption peak intensities were significantly different. The absorbance increased first and then decreased with increasing power. The spectral peak positions were similar. Compared with those of the control group, the characteristic band intensities of 150, 180, and 210 W pretreatment groups were larger, and those of 240 and 270 W pretreatment groups were smaller. At different ultrasonic power pretreatment conditions, the chemical components of potatoes were the same, but the appropriate ultrasonic power pretreatment could remarkably preserve effective nutrients. Data showed that the main characteristic absorption peaks in the infrared spectrum were assigned. The stretching vibrations of N-H and O-H of polysaccharides, glycosides, amino acids, and proteins were observed near 3408 cm−1 [33]. The C-H stretching vibration of fatty acids was near 2937 cm−1 [33]. The C=O stretching vibration of carboxylic acids or esters was near 1650–1630 cm−1 [34]. The peak near 1417 cm−1 was attributed to fructose, and the peak near 1155 cm−1 was the C-O stretching vibration of fructose. The peak near 1034 cm−1 was the C-O stretching vibration of glucose, C-C stretching vibration, and C-O-H bending vibration, and the peak near 929 cm−1 was the C-C stretching vibration [35]. Figure 8 shows the effect of different ultrasonic power pretreatment conditions on the effective nutrients of potato slices subjected to EHD drying and provides a deep understanding of the EHD drying mechanism combined with ultrasonic power pretreatment.Figure 8
Infrared spectra of potato slices under different ultrasonic pretreatment conditions.


## 3.8. Effect of Different Ultrasonic Power Pretreatment Conditions on the Surface Microstructures of Potato Slices

Figure9 shows the surface microstructure of potato slices pretreated with different ultrasonic power values. Figure 9 shows that the control group had deep textures and no evident pore. Textures became shallow after ultrasonic pretreatment and smoothened as the power increased. Some pores were observed in the 150, 180, 210, and 240 W ultrasonic pretreatment groups. The cavitation effect of ultrasonic waves destroyed the surface texture of the material and smoothened the texture. Some pores were created under a certain power, thereby accelerating the water loss of the material and increasing the drying rate. Rashid et al. studied the ultrasonic pretreatment of potatoes and found pores [36]. As the power increased to 270 W, the surface of potato slices smoothened. Puig et al. subjected eggplant to ultrasonic pretreatment and showed similar results [26]. Garcia-Perez et al. studied the ultrasonic drying of orange peels and found that, with increased ultrasonic power, the pores produced by the cavitation effect increased first and then decreased [37]. This finding was similar to our experimental results. The microstructure analysis further confirmed that the ultrasonic pretreatment had a remarkable influence on the surface of potatoes and affected the drying speed, quality, and various indicators of potato slices.Figure 9
Microstructures of potato slices pretreated with different ultrasonic power values: (a) 0 (control), (b) 150, (c) 180, (d) 210, (e) 240, and (f) 270 W.
(a)(b)(c)(d)(e)(f)


## 3.9. Effect of Different Ultrasonic Power Pretreatment Conditions on the Protein Secondary Structure of Potato Slices

Table4 shows the calculation results of the protein secondary structure. The shape of the amide I band ranging from 1600 cm−1 to 1700 cm−1 was used to determine the secondary structure of the protein [38]. The corresponding relationship between each subpeak and secondary structure was as follows: 1610–1642 cm−1, β-sheet; 1642–1650 cm−1, random coil; 1650–1660 cm−1, α-helix; 1660–1680 cm−1, β-turn; and 1680–1700 cm−1, β-antiparallel [39]. α-helix and β-sheet (parallel and antiparallel) represented ordered structures, whereas β-turn and random coils represented disordered structures [40]. Table 4 shows that the content of the random coil increased with increasing power. The content of α-helix in the pretreatment group was lower than that in the control group. The content of β-turn in the pretreatment group was higher than that in the control group. The content of β-antiparallel remained unchanged, and the content of β-sheets gradually decreased with increasing power. These experimental results provided a new idea for the research of ultrasonic pretreatment and EHD drying mechanisms.Table 4
Calculation results of protein secondary structure.
ConditionsRandom coil (%)α-Helix (%)β-Turn (%)β-Antiparallel (%)β-Sheet (%)Control7.8319.3525.547.9237.73150 W11.2912.0930.046.3038.38180 W11.5811.5627.489.8539.54210 W13.8214.2633.765.3532.80240 W14.217.2833.146.9331.15270 W23.3311.5626.788.2330.10


## 3.10. Statistical Analysis Results of MR and Drying Time Modeling

Table5 shows the fitting results of the drying mathematical model. Eight thin-layer drying models were fitted with the experimental data by using software, and the goodness-of-fit indices, such as R2, χ2, and ERMS, were used to evaluate the fitted drying models. Results are shown in Table 5. The R2 values of eight models were greater than 0.95 (Table 5), indicating that the eight thin-layer drying mathematical models could be used to simulate the drying process of potato slices with different ultrasonic power values. Among them, the logarithmic thin-layer drying mathematical model showed that R2 was 0.99950–1.00000, which was the maximum value of eight thin-layer drying mathematical models and closest to 1. χ2 was 0.000002–0.000056, and ERMS of 0.001366–0.007503 was the minimum value of eight thin-layer drying mathematical models. Therefore, the logarithmic thin-layer drying mathematical model was the most suitable to simulate the drying process of potato slices with different ultrasonic power values. Figure 10 shows the comparison between predicted and experimental MRs. The slope of the graph drawn using the logarithmic model prediction and the experimental moisture content data (Figure 10) was approximately 1, which further proved that the logarithmic model was suitable for the fitting of the drying curve of potato slices subjected to combined EHD drying and ultrasonic pretreatment.Table 5
Statistical analysis results of moisture ratio and drying time modeling.
ModelConditionsabcR2χ2ERMSLewisControl0.2730——0.984960.0012050.034710150 W0.3329——0.992110.0006900.026260180 W0.3756——0.974940.0025940.050930210 W0.3461——0.982750.0016560.040700240 W0.3461——0.988300.0010810.032880270 W0.3367——0.990360.0008570.029270PageControl0.20961.2170—0.996850.0002270.015080150 W0.27881.1570—0.998900.0001060.010280180 W0.27001.3050—0.994600.0006060.024620210 W0.26031.2560—0.998200.0001930.013890240 W0.27721.2000—0.998500.0001540.012420270 W0.27791.1700—0.998100.0001820.013500Silva et al.Control0.3519−0.1392—0.994600.0004710.021710150 W0.4061−0.1233—0.997500.0002400.015490180 W0.5151−0.2284—0.988900.0012590.035480210 W0.4643−0.1969—0.994900.0005380.023200240 W0.4411−0.1582—0.996300.0003700.019230270 W0.4142−0.1303—0.996200.0003660.019130Wang & SinghControl0.0115−0.2133—0.999400.0000500.007068150 W0.0191−0.2641—0.999400.0000550.007434180 W0.0185−0.2743—0.999900.0000130.003566210 W0.0179−0.2633—0.999800.0000190.004387240 W0.0191−0.2684—0.999600.0000370.006102270 W0.0187−0.2638—0.999300.0000630.007961WeibullEHD3.61101.2170—0.997400.0002270.015080150 W3.01601.1570—0.998900.0001060.010280180 W2.72701.3050—0.994600.0006060.024620210 W2.92101.2560—0.998200.0001930.013890240 W2.91401.2000—0.998500.0001540.012420270 W2.98701.1700—0.998100.0001820.013500Handerson & PabisControl1.04100.2867—0.988600.0009940.031520150 W1.03200.3448—0.994000.0005710.023890180 W1.05400.3963—0.979400.0023310.048280210 W1.05100.3649—0.987000.0013610.036890240 W1.04100.3613—0.991100.0008950.029920270 W1.03300.3490—0.992400.0007410.027230LogarithmicControl−0.42601.42900.157800.999600.0000380.006165150 W−0.17881.18300.249000.999900.0000080.002759180 W−0.35291.35700.221000.999700.0000380.006194210 W−0.27881.29000.227600.999500.0000560.007503240 W−0.21611.22300.245500.999800.0000190.004340270 W−0.20991.21100.240101.000000.0000020.001366ParabolicControl0.9974−0.21160.011260.999440.0000540.007324150 W0.9916−0.25880.018340.999500.0000470.006874180 W0.9946−0.27090.018070.999900.0000080.002894210 W1.0010−0.26400.017950.999800.0000210.004573240 W0.9948−0.26510.018690.999700.0000360.005969270 W0.9894−0.25700.017810.999600.0000480.006915Figure 10
Moisture ratio predicted by the logarithmic model and the experimental moisture ratio.


## 3.11. Analysis of Correlation Coefficient Results

Figure11 shows the Pearson correlation coefficient of potato slices pretreated at different ultrasonic power values. The root cause between the internal and external changes was explored through the calculation and analysis of the Pearson correlation coefficient. T had a significant and negative correlation with β-sheet (r = −0.87) and a significant and positive correlation with the random coil (r = 0.90). MR was significantly and negatively correlated with RR (r = −0.97) and SR (r = −0.91). DR was significantly and negatively correlated with L∗ (r = −0.92). RR was significantly and positively correlated with SR (r = 0.84).b∗ was significantly positively and correlated with α-helix (r = 0.91).Figure 11
Pearson’s correlation coefficient matrix.T, drying time; RR, rehydration rate; SR, shrinkage rate.


## 4. Conclusion

Different ultrasonic power pretreatments were combined with a high-voltage electric field to dry potato slices. The ultrasonic power was best maintained between 180 and 210 W. After ultrasonic pretreatment, the drying rate of potato slices was significantly increased, which shortened the drying time and preserved effective nutrients. Compared with the control group, pretreatment groups had increased RR, but the SR did not change significantly. The infrared spectrum showed that the peak intensity of each functional group in the ultrasonic pretreatment group was significantly different from that in the control group. SEM was used to observe the surface of potato slices and showed that the ultrasonic pretreatment could significantly change the surface microstructure of potato slices. A high ultrasonic power resulted in a significant effect. Calculating the secondary structure of protein showed that the ultrasonic pretreatment with different power values could change the contents ofβ-sheet, random coil, α-helix, β-turn, and β-antiparallel. The logarithmic thin-layer drying mathematical model was the most suitable to simulate the drying process of potato slices under different ultrasonic power values. The above studies showed that ultrasonic pretreatment combined with EHD drying is a promising food drying technology. In future work, a more detailed analysis of ultrasonic pretreatment parameters (such as ultrasonic temperature, ultrasonic time, etc.) and drying mechanism is needed to provide a certain reference for the commercialization of ultrasonic pretreatment.



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*Source: 5356645-2021-10-21.xml*