Effects of Drying Temperature and Relative Humidity on Quality Properties of Chinese Dried Noodles

0e influence of the drying conditions on protein structural properties and its impact on Chinese dried noodles (CDN) quality properties is addressed in this study. 0e CDN were produced under nine different drying conditions utilizing combination of three temperatures (40°C, 60°C, and 80°C) and three relative humidities (65%, 75%, and 85%).0e color, texture profile analysis of uncooked and cooked noodles, shrinkage ratio, and cooking quality of CDN were assessed. SEM and FTIR microimaging were investigated to determine the changes in the gluten structural properties. Drying temperature and relative humidity have significant effects on quality characteristics of CDN. However, the influences on different indicators were different. Drying temperature was the main influencing factor of the quality of CDN and protein microstructure. After the drying temperature exceeded 60°C, proteins began to aggregate, and the surface protein distribution became uneven. Compared with cross section, the uniformity of protein distribution on the surface of noodles showed a significant decrease. A high temperature (60°C) could improve the quality of CDN products. 0e quality of CDN products could be adjusted by the combination of drying temperature and relative humidity.


Introduction
Chinese dried noodles (CDN) are one of the most popular noodle types all over the world due to their convenience, variety, long shelf life, and nutritional values. e total production yield of CDN has reached over 8 million tons per year in China, which consumes about 35% of the total flour consumption in mainland China [1,2]. Drying process is a key step of CDN production. e process design and parameter control largely determine the quality of product, production efficiency, and energy consumption [3].
Temperature and relative humidity (RH) in drying chamber are the two main conditions during drying process. A reasonable drying temperature can promote the evaporation of moisture in noodles, improve the quality of noodles, shorten drying time, and reduce production costs [4]. At present, the manufacturers generally use the low-or medium-temperature (lower than 45°C) drying process relying on air heating (coal or gas), while the drying condition regulation and control are mainly based on personal experiences [3]. e effects of drying conditions and process on the quality of spaghetti and dried udon noodles have been extensively explored [5][6][7][8][9][10][11][12][13]. Inazu et al. found that the effect of relative humidity on the apparent moisture diffusivity of Japanese noodle (udon) was smaller than that of temperature, but its impact could not be neglected [6]. Mercier et al. reviewed 66 studies on enriched pasta and showed that high drying temperatures generally improve the cooking properties of enriched pasta [10]. Padalino et al. suggested that spaghetti cooking quality was positively affected by drying temperature increase and found that the improvement of sensory and cooking quality properties of spaghetti was directly related to the density increase in both chemical crosslink of protein matrix and physical crosslink of starch granules [11]. Bruneel et al. implied that an optimal degree of protein polymerization during drying and/or the subsequent cooking led to the high-quality pasta [14]. Verbauwhede et al. studied the impact of heat on microstructure of heating nonfermented dough and found out that the gluten microstructure was affected from 65°C onwards [15]. Wang et al. observed that gluten content mainly affected the drying rate in the middle drying period of Chinese dried noodle [16]. e effects of drying parameters on moisture content, moisture state, or energy consumption have been researched [3,17]. However, the effect of drying temperature, relative humidity, and their interactions on quality characteristics of Chinese dried noodles, the changes in protein microstructure under different drying conditions, and the influences of these changes on the quality characteristics of CDN products were rarely explored. e aims of this study were to investigate the effects of various drying temperatures and different relative humidity on the color, cooking, and texture characteristics of CDN, explore the changes in protein microstructure, and reveal the correlation among these parameters and product quality.

Materials.
e wheat variety Ningchun 4 was used in this the experiment, which is a good noodle wheat variety. Ningchun 4 is a hard spring type, with low protein and wet gluten contents (12.3% and 28.5%) and medium to strong gluten strength (6.6 min of stability time and 206 BU of resistance). e flour was produced in the MLU 202 experimental flour mill (Bühler, Switzerland) with the flour yield of 71.2%. e edible salt used in the noodles was from the local supermarket. Other reagents used were of analytical grade.

Preparation of Fresh
Noodles. Ningchun 4 flour (14% wet weight) of 1000 g was mixed with 350 g distilled water and 1% edible salt for 8 min in a dough mixer (Henan Dongfang Food Machinery Equipment Co., Ltd., China) to make dough crumbs. e obtained dough crumbs were rolled twice on the MT5-215 sheet rolling machine (Nanjing Yangzi Cereals, Oils and Food Machinery Co., Ltd., China) to obtain a 4 mm thick noodle sheet, which was put into ziplock bags, sealed, and rested at room temperature for 30 min. ereafter, the dough sheet was then rolled four times to obtain a 1 mm thick sheet, which was then cut into 2 mm wide wet raw noodles.

Drying Conditions Design.
e fresh noodles were hung in a drying chamber (BLC-250-III, Beijing Land and Technology co., Ltd., Beijing, China) which had been equilibrated in advance. e drying parameters including temperature and relative humidity were set to 40, 60, 80°C, and 65%, 75%, 85%, respectively. In the present work, nine different combinations of drying conditions were implemented. e drying temperature and relative humidity were adjusted to different combinations before operations. Drying time was 300 min. After drying, the noodles were cut into a length of 25 cm and put into ziplock bags for subsequent use.

Color of Dried
Noodles. Twenty noodle sticks were randomly selected and then measured at five positions on each noodle stick for the colors using the DigiEye Digital-Imaging System (VeriVide Limited, UK). In total, 100 measurements were obtained for each sample and the average value was calculated as the color of dried noodle samples. According to the CIE Lab system, three color indexes of L * , a * , and b * were obtained. Each sample was tested for three times.

Noodle Shrinkage Ratio.
Firstly, ten straight dried noodle sticks were randomly selected. en, the width and thickness in the middle and two ends (2 cm away from the ends) of selected noodles were measured with a vernier caliper. With the width (a 0 , 2 mm) and thickness (b 0 , 1 mm) of wet raw noodles as the standard, the shrinkage ratio (ψ) of dried noodles was calculated as follows: where S 0 is the cross-sectional area of the wet noodle, mm 2 , S 1 is the cross-sectional area of the dried noodle, mm 2 , a 0 is the width of the wet raw noodle, mm, b 0 is the thickness of the wet raw noodle, mm, a is the width of the dried noodle, mm, and b is the thickness of the dried noodle, mm.
2.6. Texture Characteristics of Uncooked CDNs. Twenty noodle sticks were randomly selected from each batch of CDN product and then cut into the length of 18 cm. e TAXT plus Texture Analyzer (Stable Micro System, UK) was used to measure the bending resistance of dried noodles. e A/SFR probe dropped at a speed of 1.00 mm/s until the noodle stick was broken. e maximum resistance encountered during the process when the probe pressed the noodle represented the bending strength of the dried noodle. e distance from the point where the probe was in contact with the noodle to the point where the noodle was broken indicated the breaking distance. e area of the region surrounded by the force and time in the period from contacting time between the noodle and the probe to breaking time was considered breaking work. (CLR). According to AACCI 66-50.001 [18] with minor modifications, 20 CDN sticks were placed into 500 mL of boiling distilled water. When the white core disappeared, heat was removed, and the time was recorded as the optimal cooking time (OCT) of the CDN. In a separate test, 10.00 g of noodles was weighed, and 500 mL of distilled water was added in a stainless-steel pot and heated to the boiling point with an induction cooker. e weighed sample was added into the pot and the boiling state was maintained. After OCT was reached, noodles were obtained from the pot immediately. When no obvious water could be observed on the noodle surface, the noodles were weighed to calculate water absorption ratio (WAR, %). e remaining noodle soup in the steel pot was heated until all liquid had evaporated. e stainless-steel pot was put in an oven and baked at 105°C to constant weight. e total mass of the stainless-steel pot and the remaining material was weighed to calculate the cooking loss ratio (CLR, %).

Texture Characteristics of Cooked
CDNs. According to the method described by Liu et al. [19], twenty noodles were randomly selected, cooked for optimal cooking time, fished out immediately, rinsed with tap water for 30 s. A set of five sticks were placed in parallel on the loading platform in a TA. XT plus Texture Analyzer (Stable Micro System, UK). Testing parameters were set as follows: TPA measurement mode; the probe, A/LKB-F; the speed before the measurement, 2 mm/s; the measurement speed, 0.8 mm/s; the speed after the measurement, 2 mm/s; the compression ratio, 70%; the interval between two compressions, 10 s; the starting induction force, initial value, 10 g; and the data acquisition rate, 200 pps. ree parallel experiments were performed for each sample.

Scanning Electron Microscopy (SEM).
e CDN samples were cut, then respectively fixed with glutaraldehyde for 48 h and osmic acid for 2 h, and dried at the supercritical point of CO 2 . e dried samples were then cut off with pliers. e cut samples with a flat surface were selected and fixed on the sample platform. Gold particles were sprayed on the samples with the Hitachi IB-5 Ion Coating Apparatus, and the samples were then placed under a SU 8010 scanning electron microscope (HITACHI, Japan) at 300× and 800× magnification, observed, and photographed.

Infrared Microscopic Imaging Analysis.
e surface and cross section of the dried noodles were examined by a LUMOS stand-alone FTIR microscope (Bruker, Saarbrucken, Germany) to analyze the protein content distribution on the surface and cross section of noodles. e measurement parameters are as follows: ATR mode, MCT detector, wavenumber range (4000-600 cm −1 ), air as the reference, the infrared spectral resolution (4 cm −1 ), and 16 scans. Area array sampling was performed in 15 × 15 points (imaging area, 375 μm × 300 μm; spatial resolution, 25 μm × 25 μm). e air background was automatically removed from the sample spectra in the OPUS 8.1 software. e peaks in the amide I and amide II regions (1715-1484 cm −1 ) were integrated to generate a 2D pseudocolor plot, which was used to represent the protein distribution in noodle samples [20,21]. e bright purple and red in the scale indicate a high value of protein content while blue indicates a low value.

Statistical Analysis.
All the experiments were repeated at least 3 times and experimental data was expressed as the mean ± SD. Statistical analysis was carried out by SPSS for Windows version 18.0 (SPSS Inc., Chicago, IL, USA). Oneway analysis of variance (one-way ANOVA) and multiple comparison analysis were carried out to estimate the statistically significant differences between different temperatures, RH, and their combinations, and multiway analysis of variance (multiway ANOVA) was carried out to find out the contributions rate of each factor. Differences were considered to be significant at P < 0.05.

Quality Properties of Uncooked Noodles
e colors of CDN under different drying temperature and relative humidity are shown in Table 1. Under the conditions of different drying temperatures, with the increase in relative humidity, the L * values of noodles showed the decreasing trend, whereas the a * values showed the increasing trend. e L * values combination under the relative humidity of 85% were significantly lower than those under 65% and 75%, whereas the a * values under the relative humidity of 85% were significantly higher than those under 65% and 75%. Under the same relative humidity, the L values or a * values of CDN under the conditions of different temperatures showed no significant difference P < 0.05. Under the combination condition of 40°C, 65%, the b * values were significantly lower than those under other combination conditions (P < 0.05). e b * values under the drying temperature of 60°C were significantly lower than those under 80°C.

Shrinkage Ratio.
e shrinkage ratio of CDN showed no regular variation with temperature or relative humidity. Under the combination condition of 40°C and 65%, the shrinkage ratio of dried noodles was the lowest, which was significantly lower than that under other combination conditions, while under the combination conditions of 80°C and 65%, the shrinkage ratio was the highest (Table 1). ere was no significant difference in the shrinkage ratio between other combination conditions of temperature and relative humidity.

TPA of Uncooked CDN.
Under the drying temperatures of 40°C and 60°C, with the increase in relative humidity, the bending strength of CDN firstly decreased and then increased. Under the drying temperature of 80°C, the bending strength showed an increasing trend with increasing humidity. Under the combination condition of 80°C and 85%, the bending strength of dried noodles was the highest (Table 2).
Under the drying temperatures of 60°C and 80°C, with the increase in relative humidity, the breaking distance and breaking power of CDN firstly decreased and then increased. Under the drying temperature of 40°C, the breaking distance and breaking power gradually decreased with increasing humidity. Under the combination condition of 40°C and 65%, the breaking distance and breaking power were the largest, which were significantly higher than those under other combination conditions (P < 0.05, Table 2).
Opposite changes of bending strength, broken distance, and broken power were observed between 40°C and 80°C. At 40°C, the noodle strength was decreased with increasing humidity; in contrast, opposite phenomenon was observed at 80°C. Table 3, the OCT of dried noodles obtained at drying temperatures of 40°C and 60°C showed no significant differences between different relative humidities. When the drying temperature was 80°C, OCT under the relative humidity of 65% was significantly shorter than that under 75% and 85% P < 0.05, but OCT obtained under relative humidities of 75% and 85% showed no significant difference (P < 0.05). Under the relative humidity of 65%, OCT obtained at drying temperatures of 60°C and 80°C was significantly shorter than that at 40°C, but OCT obtained at drying temperatures of 60°C and 80°C showed no significant difference. OCT obtained under relative humidities of 75% and 85% firstly decreased and then increased with the increase in drying temperature. Under different relative humidities, OCT obtained at the drying temperature of 60°C was the shortest.

Water Absorption Ratio (WAR)
. Temperature and relative humidity had little effect on the WAR of dried noodles. e WAR obtained under the combination condition of 80°C and 65% was the highest, which was significantly higher than that obtained under other combination conditions. e WAR of dried noodles obtained under other combination conditions showed no significant difference (Table 3).

Cooking Loss Ratio (CLR).
When the drying temperature was 40°C, the CLR of dried noodles obtained under different relative humidities showed no significant differences. When the drying temperature was 60°C, with an increase in the relative humidity, the CLR firstly decreased and then increased. When the drying temperature was 80°C, the CLR under different relative humidities was the highest (Table 3).

TPA of Cooked CDN
(1) Hardness. Table 4 shows the one-way ANOVA results of the effects of drying temperature and relative humidity on the texture characteristics of cooked CDN. When the drying Note. Data in this table are expressed as means ± standard deviations and the data followed by different letters in the same column mean significant differences (P < 0.05). Note. Data in this table are expressed as means ± standard deviations and the data followed by different letters in the same column mean significant differences (P < 0.05).
temperature was 40°C, the noodle hardness obtained under relative humidity of 65% was significantly higher than that obtained under 75% and 85%, but the hardness showed no significant difference between 75% and 85%. When the drying temperature was 60°C, the hardness under different relative humidities showed no significant difference. When the drying temperature was 80°C, the hardness obtained under relative humidity of 85% was significantly higher than 65% and 75%, but the hardness between 65% and 75% showed no significant differences. When the relative humidity was 65%, the hardness of the noodles obtained under the drying temperature of 60°C was significantly lower than that obtained under the drying temperatures of 40°C and 80°C, but the hardness of the noodles obtained under drying temperatures of 40°C and 80°C showed no significant differences. e hardness of dried noodles obtained under the conditions of drying temperature of 80°C and the relative humidity of 85% was the highest. e hardness obtained under the condition of 60°C, 65% was the lowest.
(2) Adhesiveness. When drying temperatures were, respectively, 40°C and 60°C, the adhesiveness of cooked noodles obtained under different relative humidities showed no significant difference. When the drying temperature was 80°C, the adhesiveness of noodles decreased with the increase in relative humidity (Table 4). When relative humidities were, respectively, 65% and 75%, the adhesiveness increased with the increase in temperature. When the relative humidity was 85%, the adhesiveness firstly increased and then decreased with the increase in drying temperature.
(3) Springiness. When the drying temperature was 40°C, the springiness of the cooked noodles under relative humidities of 65% and 75% was significantly higher than that under 85%. When drying temperatures were, respectively, 60°C and 80°C, the springiness under different relative humidities showed no significant difference. Under different relative humidities, when the drying temperature increased from 40°C to 60°C, the springiness decreased significantly; when the temperature continued to increase to 80°C, the springiness showed no significant change (Table 4). When the drying temperature was 60°C, the springiness of the noodles obtained under different relative humidities was the smallest.
(4) Cohesiveness. When drying temperatures were, respectively, 40°C and 80°C, the cohesiveness of cooked noodles under different relative humidities showed no significant difference. But when the drying temperature was 60°C, the cohesiveness firstly increased and then decreased with the increase in relative humidity. Under different relative humidities, the cohesiveness obtained under 60°C and 80°C was significantly lower than 40°C. When the relative humidity was 65%, the cohesiveness under drying temperatures of 60°C and 80°C showed no significant change. When the relative humidity was 75%, the cohesiveness obtained under 60°C was significantly higher than that obtained under 80°C. When the relative humidity was 85%, the cohesiveness obtained under 60°C was significantly lower than that obtained under 80°C. e cohesiveness obtained under 60°C and 85% was the lowest (Table 4). Table 3: Effects of drying temperature and relative humidity on cooking quality characteristics of CDN.

Temperature (°C)
Relative humidity (%) Optimal cooking time (s) Water absorption ratio (%) Cooked loss ratio (%) 40 (5) Gumminess. When the drying temperature was 40°C, the gumminess of the cooked noodles obtained under the relative humidity of 65% was significantly higher than 75% and 85%, but gumminess obtained under relative humidities of 75% and 85% showed no significant difference. When the drying temperature was 60°C, gumminess obtained under different relative humidities showed no significant differences. When the drying temperature was 80°C, the gumminess under 85% was significantly higher than that under 65% and 75%, but gumminess obtained under 65% and 75% showed no significant difference. Under different relative humidities, the gumminess firstly decreased and then increased with the increase in the drying temperature. e gumminess obtained at the drying temperature of 60°C was the lowest. e gumminess obtained under 60°C and 65% was significantly lower than other combination conditions (Table 4).
(6) Resilience. When the drying temperature was 40°C, the resilience obtained under different relative humidities showed no significant differences. When the drying temperature was 60°C, the resilience firstly increased and then decreased with the increase in relative humidity. When the drying temperature was 80°C, the resilience under the relative humidity of 65% was significantly lower than that under 75% and 85%, but the resilience obtained under 75% and 85% showed no significant difference. Under different relative humidities, the resilience obtained at the drying temperature of 40°C was significantly higher than that under 60°C and 80°C. When relative humidities were 65% and 75%, the resilience at drying temperatures of 60°C and 80°C showed no significant difference. Under the relative humidity of 85%, the resilience obtained at 60°C was significantly lower than that 80°C. e resilience obtained under 60°C and 85% was significantly lower than that of other combination conditions. Figure 1 shows SEM images of noodles cross sections prepared under different conditions of drying temperature and relative humidity. Figures 1(a) and 1(b) are, respectively, images of 300X magnification and 1000× magnification. Dried noodles had a dense internal structure and the gluten network formed a continuous sheet structure, where large and small starch granules were tightly adhered or wrapped. e surface of partial starch granules shrank. e binding capacity between starch granules and gluten inside dried noodles obtained under different conditions of drying temperature and relative humidity showed the significant differences and starch granules fell away at the cross section of dried noodles to different degrees. In the noodles obtained at the drying temperature of 80°C, the falling phenomenon of starch granules was the most serious. e binding between starch granules and gluten network structure is related to bending strength, water absorption ratio, and cooking loss ratio of the noodles.

Fourier Transform Infrared (FTIR) Microscopy.
e protein quantity distribution diagrams at the cross section and surface of the noodles produced under different conditions are shown in Figure 2. e protein quantity distribution at the cross section of the noodles was largely affected by drying temperature (Figure 2(a)). Especially at the drying temperature of 80°C, the protein aggregation was serious, and the aggregation phenomenon was more significant at the cross section. e falling phenomenon of starch granules observed by SEM may be related to protein aggregation.
Compared with cross section (Figure 2(a)), the protein distribution on the surface of noodles (Figure 2(b)) showed the decreased uniformity. Under the conditions of 80°C and 75%, the protein distribution on the noodle surface showed the worst uniformity and the obvious protein aggregation was observed. Protein aggregation may reduce its ability to wrap starch granules. erefore, starch granules on the surface tended to fall off during cooking and the cooking loss ratio increased. e results were consistent with the variations of cooking loss ratio with drying temperature and relative humidity.

Discussion
Temperature and relative humidity are the main control factors in the drying process of noodles and affect the drying efficiency and quality of noodles [3][4][5][6]. At present, the common production process of noodles in China is the hot air convection drying process at medium temperature (≤45°C) [3]. Since 1970s and 1980s, the high-temperature drying process had been explored in the production of spaghetti in Italy and Japanese dried noodles and was widely applied in the production of spaghetti. Higher drying temperatures (>60°C) could improve the cooking characteristics of spaghetti [10,11]. is study indicated that drying temperature and relative humidity had significant or extremely significant effects on the color, density, shrinkage, cooking characteristics, and texture characteristics of dried noodles. However, the influences on various indicators of dried noodles were different. e drying temperature had a great influence on OCT and TPA characteristics of CDN. e relative humidity had great effects on the L * value, a * value, and bending strength of CDN. In general, when the drying temperature was 60°C, OCT, hardness, cohesiveness, gumminess, chewiness, and resilience reduce, and the cooking characteristics of CDN can improve to a certain degree. is study confirmed that the quality of noodle products could be adjusted by regulating different combinations of drying temperature and relative humidity.
Bruneel et al. pointed out that the formation of a suitable protein network structure during drying largely determined the quality of spaghetti produced from durum wheat [12]. Verbauwhede et al. observed the changed microstructure of the gluten protein network, cleaved hydrogen bonds, protein recombination caused by hydrophobic interactions, and branched protein structure when nonfermented dough was heated above 65°C [13]. In this study, the SEM and FTIR results indicated that, with the increase in temperature, the internal microstructure or protein content distribution of dried noodles showed significant change. When the drying temperature increased to 60°C, due to protein aggregation, 6 Journal of Food Quality    Journal of Food Quality the surface protein distribution became uneven and starch swelling was not observed.

Conclusions
Drying temperature and relative humidity have significant effects on quality characteristics of CDN. However, the influences on different indicators were different. Drying temperature was the main influencing factor of the quality of CDN and protein microstructure. After the drying temperature exceeded 60°C, proteins began to aggregate, and the surface protein distribution became uneven. A high temperature (60°C) could improve the quality of CDN products. e quality of CDN products could be adjusted by the combination of drying temperature and relative humidity. But in the practical application process, the adjustment should be considered based on the performance of drying equipment, production targets, energy consumption requirements, and drying process parameters.

Data Availability
e data used to support the findings of this study are included within the article.

Conflicts of Interest
e authors declare that they have no conflicts of interest.