JOURNAL OF LIGHT INDUSTRY

CN 41-1437/TS  ISSN 2096-1553

2018 Vol. 33, No. 5

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The change rule of biogenic amines during the processing of Sanchuan ham
HU Yongjin, XUE Qiaoli, LI Zezhong, ZHANG Yunhe, LI Shijun
2018, 33(5) :1-8. doi: 10.3969/j.issn.2096-1553.2018.05.001
Abstract:
With Sanchuan ham made by traditional fermentation process as raw material, the mass concentration of 8 main biogenic amines in the curing, drying and fermentation stages of Sanchuan ham was determined by HPLC, and the change rule of biogenic amines in the processing of Sanchuan ham was studied. The results showed that:1) a total of 7 kinds of biogenic amines were detected, which were phenethylamine, resinamine, saprolamine, histamine, tyramine, ispermine and spermine.Tryptamine was not detected out.Among them, sapromine and spermine existed in the whole process of Sanchuan ham. The cadaverine mass concentration was the highest in 7 species, followed by spermine. The cadaverine mass concentration continued to increase during the processing of Sanchuan ham, and reached the maximum value in the late stage of fermentation, which was (69.24±12.54) mg/kg, but began to decrease significantly in the late stage of fermentation. The mass concentration of spermidine and spermine were stable, and the mass concentration of spermidine was low. Phenethylamine was detected only in the middle of curing. The mass concentration of histamine was low, and the highest mass concentration was only (22.52±5.25) mg/kg, which was relatively safe.2) during the whole process of Sanchuan ham, the total biogenic amine mass concentration first increased, then stabilized and then decreased:the total biogenic amine mass concentration in fresh Sanchuan ham was the lowest, which was (5.84±1.30) mg/kg, and the total biogenic amine mass concentration increased significantly in the middle and late stage of curing (P<0.05). During the drying period, the increase of total biogenic amine mass concentration was not significant (P>0.05). In the late stage of fermentation, the mass concentration of biogenic amine was the highest, which was (158.08±31.35) mg/kg.
Preparation of gelatin from Channel Catfish skin and its gelling performance optimization
WANG Wei, YANG Hong, YAN Shoulei
2018, 33(5) :9-19. doi: 10.3969/j.issn.2096-1553.2018.05.002
Abstract:
The effect of NaOH treatment concentration and treatment time, acetic acid treatment concentration and treatment time, temperature and treatment time of preparation process on the quality of gelatin were compared by single factor test, and orthogonal test optimization process was performed, to explore the optimal preparation process of channel catfish skin gelatin. Then three hydrocolloids including carrageenan, sodium alginate and xanthan gum were selected to be compounded with channel catfish skin gelatin to improve its gelling performance. The results showed that:1)The optimal preparation process of gelatin for channel catfish skin was first soaked in 0.2 mol/L NaOH solution for 2 h, then soaked in 0.2 mol/L acetic acid solution for 4 h, and finally extracted in hot water bath at 60℃ for 4 h. Under this process conditions, the yield of gelatin reached 73.36%, the gel strength was 434.86 g, and the gelling temperature and melting temperature were 19℃ and 26℃, respectively. The isoelectric point pI was 6.8. The result of SDS-PAGE analysis showed that gelatin prepared by hydrolysis of fish skin was a multi-component mixture with no definite molecular weight, but a molecular weight segment.2)When the fish skin gelatin concentration was 1.6%, the carrageenan added amount was 0.4%, and the critical concentration of the compounding gel was 2.0%, the fish skin gelatin and carrageenan had the best compounding effect. The gelling and melting temperatures of the gel were 17.6℃ and 35.1℃, respectively, compared with the blank group, the gelling temperature and melting temperature were increased by 13.8℃ and 22.8℃, respectively. The addition of carrageenan can improve the thermal stability of fish skin gelatin, which is of important role for improving the processing performance of fish skin gelatin.
Effect of inorganic nitrogen sources supplementation on (non) volatile constituents in lychee wine
JIN Xiaofan, SHANG Yuhui, ZHU Ping, ZHONG Qiuping
2018, 33(5) :20-29. doi: 10.3969/j.issn.2096-1553.2018.05.003
Abstract:
Supplementation of lychee juice was made with concentration in the range 60~360 mg/L of ammonium chloride, diammonium phosphate, respectively,the effects on the fermentation dynamics of saccharomyces cerevisiae and (non) volatile constituents produced during the fermentation of lychee wine were investigated. The results showed that addition of different concentrations of ammonium chloride and diammonium phosphate increased the rate of consumption sugar at different degrees, and shortened the yeast fermentation time. The alcohol content and total esters were increased significantly,whereas the glycerol, acetaldehyde and succinic acid was decreased obviously.A product of the Maillard reaction, 2,3-dihydro-3,5-dihydroxy-6-methyl-4H-Pyran-4-one (DDMP), which has various physiological functions, was detected for the first time in lychee wine.It proved that the supplementation of inorganic nitrogen source promoted the generation of the product.
Process optimization of ultrasonic-assisted aqueous enzymatic extraction of sesame oil
XIAO Xuhua, WANG Wei, YANG Hong
2018, 33(5) :30-36. doi: 10.3969/j.issn.2096-1553.2018.05.004
Abstract:
The sesame was used as raw material to extract sesame oil by ultrasonic-assisted aqueous enzymatic method. The effects of ultrasonic treatment conditions (treatment time and treatment temperature) and enzymatic hydrolysis conditions (material-to-liquid ratio, acid protease mass fraction, enzymatic hydrolysis pH, temperature and time) on sesame oil yield were discussed. The results showed that the optimal extraction conditions for sesame oil were as follows:ultrasonic treatment time was 15 min, ultrasonic treatment temperature was 50℃; material-to-liquid ratio was 1:10, acid protease mass fraction was 0.16%, enzymatic hydrolysis pH was 3.0, hydrolysis temperature was 45℃, hydrolysis time was 5 h. The seasame oil extraction verification test was carried out under these conditions, the yield of sesame oil could reach 43.28%, and the obtained seasame oil had good oil quality and less pollution, which indicated that it was feasible to extract sesame oil by ultrasonic-assisted aqueous enzymatic extraction and superior to many conventional methods.
Optimization of enzymatic hydrolysis conditions of tobacco flower buds and preparation of tobacco flavor
XU Chunping, YU Jinwei, RAN Panpan, BAI Jiafeng, MA Kuoyan, YAO Yanchao, LIU Shaohua
2018, 33(5) :37-43. doi: 10.3969/j.issn.2096-1553.2018.05.005
Abstract:
The enzymatic hydrolysis conditions of tobacco flower buds under the action of cellulase, hemicellulase, pectinase and protease were optimized by orthogonal test. The flavor components were extracted by Maillard reaction and simultaneous distillation extraction. The extracted aroma components were analyzed by GC-MS. The results showed that 1) the enzymatic hydrolysis temperature was 50℃, the enzymatic hydrolysis time was 6 h, the enzymatic hydrolysis pH was 6, and the enzyme content was 1% (mass fraction), the amino acid content and reducing sugar content were the highest, respectively 2.89 mg/g and 0.88 mg/g. 2) There were mainly 65 kinds of aroma substances, including myristic acid, dihydro kiwi lactone, oxidized carbenene, tobacco alkene, phytonone, damasthone, giant bean ketone, oleic acid amide, 2-n-pentyl group.The low aroma threshold such as furan in these substances was a key aroma substance in tobacco and contributed to tobacco aroma. 3) The correlation between amino acid and reducing sugar content and the total amount of aroma substances was not obvious, and it was positively correlated with the number of aroma substances.
Separation and analysis of nicotine enantiomers in tobacco and tobacco products using chiral column-HPLC-DAD method
YU Jingjing, CAI Junlan, WANG Bing, QIN Yaqiong, ZHAO Xiaodong, LIU Kejian, XUE Cong, ZHANG Xiaobing, LIU Shaofeng
2018, 33(5) :44-52. doi: 10.3969/j.issn.2096-1553.2018.05.006
Abstract:
The CHIRALPAK-IC was used, and the mixed solution of V (n-hexane):V (isopropanol)=95:5 was used as the mobile phase, and diethylamine was used as the mobile phase additive. In normal phase chromatography mode, a chiral column-high performance liquid chromatography-diode array detector (HPLC-DAD) method was developed for the separation and analysis of nicotine optical isomers in tobacco and tobacco products. The characterization and test results of this method indicated:1) The linear relationship between S-(-)-nicotine and R-(+)-nicotine was in the range of 15~750 μg/mL and 0.75~30.00 μg/mL, respectively. The detection limit and limit of quantification were 0.02 mg/g and 0.05 mg/g, respectively. 2)The precision of intra-and inter-day measurements of nicotine was less than 0.85% and 4.00%, respectively; the recovery rates of S-(-)-nicotine and R-(+)-nicotine were 94.93%~103.70% and 92.50%~117.50%, respectively. This indicated that the method had good precision and high recovery rate. Using this method to determine the nicotine optical isomers of 26 different types of tobacco and tobacco products, it was found that tobacco was mainly S-(-)-nicotine, only 6 samples were detected by R-(+)-nicotine. The proportion of nicotine quality was 0.18%~0.70%; among the 10 finished cigarettes and their mainstream smoke, the proportion of R-(+)-nicotine in total cigarette smoke was higher than that of cigarette tobacco.
Simultaneous determination of the content of menthol, triacetin and nicotine in mint cigarette filter by gas chromatography
XU Aifei, ZHANG Pingquan, FAN Zhong, HUANG Shijie, CHEN Zhiyan, ZHOU Yun, TANG Guifang, ZHU Jing, LI Xiaolan, XU Chunping
2018, 33(5) :53-59. doi: 10.3969/j.issn.2096-1553.2018.05.007
Abstract:
HP-Innowax capillary column was selected and the content of menthol, triacetin and nicotine in mint cigarette filter was determined by gas chromatography with anhydrous ethanol as extraction solvent. The results showed that:The linear relationship was good among menthol, triacetic acid and nicotine in the concentration range of 0.30~4.80 g·L-1, 0.30~4.80 g·L-1 and 0.01~0.16 g·L-1, respectively, the limit of quantification was 14.4 μg·branch-1,29.8 μg·branch-1 and 9.6 μg·branch-1, the spiked recoveries of the three targets ranged from 97.1% to 103.1%, and the determination result of 7 mint cigarette filter samples by this method showed that the relative standard deviations (RSD) were less than 3.0%. The content of menthol in the menthol cigarette filter was significantly higher than that of the traditional menthol cigarette filter, while the change of nicotine and triacetin content had no obvious change.
Rapid quantitative evaluation of the content of aroma components in flue-cured tobacco leaves based on near-infrared spectroscopy
YANG Jianyun, TIAN Mengyu, PEI Ziye, ZHAO Wei, MA Ji, LI Jungu, YANG Qianxu
2018, 33(5) :60-68. doi: 10.3969/j.issn.2096-1553.2018.05.008
Abstract:
In order to realize the rapid evaluation of the content of aroma components in flue-cured tobacco leaves, the flue-cured tobacco leaves of He'nan, Guizhou and Yunnan K326 were used as samples, and the PLS-DA model and quantitative correction model were established by using near-infrared spectroscopy combined with partial least squares method. The differences in the aroma components of K326 flue-cured tobacco leaves in the planting environment were quickly and quantitatively evaluated. The results showed that:1) The aroma components of the flue-cured tobacco leaves in the three producing areas were significantly different in the PLS-DA model, and the first and second principal components had good interpretation ability. The explanatory power of the model categorical variable was 81.4%; 2) β-Damascone, methyl linolenic acid, butylated hydroxytoluene, β-ionone and other compounds were important distinguishing compounds for the three origin samples; 3) The near-infrared correction model based on the first and second principal component scores had a coefficient of determination of 0.970 0 and 0.908 0, respectively, and had good stability and prediction accuracy.
Study on preparation and electrochemical performance of new all-solid-state polymer electrolyte PEG475-DMAA copolymer
XING Yalan, CHEN Hongzhou, WU Hao, XIONG Gangyi, ZHANG Shichao
2018, 33(5) :69-76. doi: 10.3969/j.issn.2096-1553.2018.05.009
Abstract:
A photo-polymerization synthesis process without organic solvent was used. Polyethylene glycol methacrylate (PEG475) was used as the matrix, N,N dimethyl acrylamide (DMAA) was used as the crosslinking agent, and the plasticizer succinonitrile (SN)was introduced, a new all-solid polymer electrolyte (PEG475-DMAA) was prepared and its electrochemical performance was tested. The results showed that when the addition amount of SN was 10% (mass fraction), the ionic conductivity of the electrolyte system was the largest, about 4×10-5 S/cm, which was increased by three orders of magnitude relative to the polyoxyethylene system. The electrochemical stability window was above 5.0 V, which satisfied the voltage stability requirements of the currently-used electrolyte system. The electrolyte had good thermal stability in the range of 270℃. The lithium ion battery assembled by the electrolyte membrane had a low initial capacity. There was still a big gap with commercial lithium-ion batteries. In the future, it is necessary to further improve the ionic conductivity of the electrolyte membrane and improve the electrochemical cycle performance.
Preparation and electrochemical capacitance properties analysis of hierarchically porous graphene/activated carbon composites
FANG Hua, ZHANG Zhenhua, CHANG Xinbo, ZHANG Hanzhi, ZHANG Hui
2018, 33(5) :77-82. doi: 10.3969/j.issn.2096-1553.2018.05.010
Abstract:
The graphene/phenolic resin composites were prepared by liquid phase blending method using phenolic resin and graphene oxide as raw materials, and then graphene/activated carbon composites were prepared by high temperature carbonization and activation process. Cyclic voltammetry and constant current charge-discharge tests were used to characterize the electrochemical capacitance. The results showed that the composite had a specific capacitance of 197 F·g-1 at a current density of 0.5 A·g-1, and the current density increased to 10 A·g-1, the specific capacitance was 163 F·g-1, the current was increased by 20 times, the capacitance retention rate was 83%, and the cycle was repeated 1000 times at a current density of 0.5 A·g-1, and no capacity was attenuated, the capacity retention rate was 100%, which indicated that the composite material had excellent capacitance properties.
Study on preparation and electrochemical properties of three-dimensional interlayer-shaped nanoporous Cu/Cu6Sn5/Sn composite electrode with bimodel pore size distribution
CHEN Xue, LIU Wenbo, DONG Xin, CHENG Peng
2018, 33(5) :83-89. doi: 10.3969/j.issn.2096-1553.2018.05.011
Abstract:
Three-dimensional (3D) nanoporous copper current collector with bimodel pore size distribution was fabricated by dealloying of Al-35Cu alloy, and the three-dimensional interlayer-shaped nanoporous Cu/Cu6Sn5/Sn composite electrode was obtained further by chemical deposition of Sn on the surface of 3D nanoporous copper, in which Cu6Sn5 transition layer could be formed via quick reaction between Sn and Cu. Subsequently, the electrode was characterized by electrochemical performance testing.The results showed that the initial discharge specific capacity was 2.53 mAh/cm2 and the charge specific capacity was 0.43 mAh/cm2 at a current density of 0.1 mA/cm2. After 300-week cycles, the discharge specific capacity was still 0.159 mAh/cm2, the charging specific capacity was 0.157 mAh/cm2, and the capacity retention rate was 36.5%, which indicated that the electrode had excellent electrochemical performance and had potential application prospects in the next generation high performance lithium ion battery.
Binocular vision ranging combined with improved SIFT algorithm
CHEN Jianming, SHI Minghui
2018, 33(5) :90-96. doi: 10.3969/j.issn.2096-1553.2018.05.012
Abstract:
In order to solve the problem of complex calculation and low real-time performance when using binocular vision ranging for UAV real-time line patrol, a binocular vision ranging scheme combining improved SIFT algorithm was proposed. A binocular vision model similar to monocular vision was adopted to reduce computation variables, the traditional SIFT algorithm was improved by reducing the number of scale spaces, reducing the dimension of feature vectors, and replacing the Euclidean distance with the block distance,so as to improve the matching efficiency of the uniform feature points of two images taken simultaneously by two cameras. The results showed that the matching time was reduced by 32% and the maximum error rate was reduced to 3.75%. The method could meet the accuracy requirements of UAV fast real-time line patrol ranging.
Distributed FP-Growth algorithm based on Hadoop under massive data
ZHU Haodong, XUE Xiaobo, LI Hongchan, MENG Yinghui
2018, 33(5) :97-102,108. doi: 10.3969/j.issn.2096-1553.2018.05.013
Abstract:
In view of the large data problem of association mining by the method of taking two times of scanning database and adding the transaction to the independent data partition, distributed renovation of traditional FP-Growth algorithm was taken, the distributed FP-Growth algorithm based on Hadoop framework was then put forward so as to realize the frequent pattern FP huge amounts of data mining. The simulation results showed that in the process of increasing data processing, the algorithm was compared with the traditional algorithm advantages of its running time and memory consumption were becoming ever more obvious. When the amount of data processing reached 700,000 items, the algorithm saved about 2/3 running time than the traditional algorithm, while the memory consumption was only 1/5 of the traditional algorithm. It showed that the algorithm could significantly improve the mining efficiency of FP and reduced the memory consumption when dealing with massive data.
Research on text processing model based on CNN and B-LSTM
CHEN Xin, YU Junyang, ZHAO Yuanyuan
2018, 33(5) :103-108. doi: 10.3969/j.issn.2096-1553.2018.05.014
Abstract:
Aiming at the problem of low accuracy of text sentiment classification, CNN-B-LSTM, a new sentiment analysis training model based on CNN and B-LSTM was presented. The convolution operation processed the word vector to extract the intensity characteristics of the word vector, and then inputed it into the B-LSTM to perform the upper level modeling and used it to process the sentences.The results showed that the proposed CNN-B-LSTM model had higher sentiment classification accuracy,the error rates decreased by 4% and 1%,respectively.It was superior to B-LSTM and CNN models in sentiment classification.
Journal Information

Founded in 1986, bimonthly

Administered by:The Education Department Henan Province

Sponsored by:Zhengzhou University of Light Industry

Editor-in-chief:Wei Shizhong

Executive Editor-in-Chief:Zou Lin

Deputy Editor-in-Chief:Qu Shuanghong

Edited & published by:Editorial Department of Journal of Light Industry

CN 41-1437/TS

ISSN 2096-1553

Address:136 Science Avenue, Zhengzhou City, Henan Province, China

Postal Code:450001

Tel:(086)0371-86608635
(086)0371-86608633

Email:qgxb@zzuli.edu.cn
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