[1] |
HU Yiran, LI Jieqing, LIU Honggao, FAN Maopan, WANG Yuanzhong.
Species Identification of Common Wild Edible Bolete in Yunnan by Fourier Transform Mid-infrared Spectroscopy Coupled with Support Vector Machine
[J]. FOOD SCIENCE, 2021, 42(8): 248-256.
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[2] |
SUN Jinzhi, FU Lujing, YUE Tianli, LI Jingyan, GUO Chunfeng.
Quantitative Detection of Cow Milk Adulteration in Goat Milk Based on a Non-Protein Biomarker Present in Cow Milk
[J]. FOOD SCIENCE, 2021, 42(8): 288-293.
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[3] |
WANG Bingfeng, XU Lei, XU Zhenzhen, CHEN Ailiang, YANG Shuming, LIAO Xiaojun.
Recent Progress in the Application of Liquid Chromatography-High Resolution Mass Spectrometry in the Identification of Food Adulteration: A Review
[J]. FOOD SCIENCE, 2021, 42(7): 301-310.
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[4] |
WANG Ya, ZHANG Cuncun, FU Yuye, ZHANG Fan, WANG Jie, WANG Wenxiu.
Non-destructive Detection of Volatile Basic Nitrogen Content in Prawns (Fenneropenaeus chinensis) Based on Spectral and Image Information Infusion
[J]. FOOD SCIENCE, 2021, 42(2): 283-290.
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[5] |
YANG Yange, LI Li, WANG Dandan, LI Weixi, WANG Hongyue, LIU Mingchang, WU Yajun.
Multiple Real-time Polymerase Chain Reaction for Identification of Animal-derived Ingredients in Milk Products from Minor Dairy Species
[J]. FOOD SCIENCE, 2021, 42(16): 312-321.
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[6] |
CHEN Zhenjin, ZHANG Huang, SHI Lei, YE Lei, CAI Kaixian, YAN Donglin, WEI Tao, XIE Naizhen, CHEN Xiaocong.
Rapid Detection of Murine-Derived Ingredients in Mutton Products Using Loop-Mediated Isothermal Amplification
[J]. FOOD SCIENCE, 2021, 42(12): 322-327.
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[7] |
PENG Dan, LIU Yali, LI Linqing, BI Yanlan.
Optimization of Modeling Conditions for Near Infrared Measurement of Protein Content in Milk by Orthogonal Array Design
[J]. FOOD SCIENCE, 2020, 41(4): 256-261.
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[8] |
XU Suigen, LI Jiapeng, LI Jinchun, CHEN Xi, YANG Junna, XIONG Suyue, HUANG Xin, QIAO Xiaoling, QU Chao, WANG Shouwei.
A Multiplex Real-time Polymerase Chain Reaction Combined with Melting Curve Analysis Method for Simultaneous Identification of the Meat of Bluefin Tuna, Sablefish and Oilfish
[J]. FOOD SCIENCE, 2020, 41(24): 259-266.
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[9] |
FAN Wei, GAO Xiaoyue, DONG Yuxin, LI Henan, WANG Lin, GUO Wenping.
Establishment of a Risk Prediction Model for Adulterated Beef and Lamb Kebabs in Beijing by Data Mining
[J]. FOOD SCIENCE, 2020, 41(20): 292-299.
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[10] |
WANG Xiaoyi, LI Liusheng, KONG Jianlei, JIN Xuebo, SU Tingli, BAI Yuting.
Risk Pre-warning of Hazardous Materials in Cereal Supply Chain Based on Deep Belief Network-Multiclass Fuzzy Support Vector Machine (DBN-MFSVM)
[J]. FOOD SCIENCE, 2020, 41(19): 17-24.
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[11] |
ZHANG Bingfang, WANG Yulin, LIU Chenghai, LIU Dasen, ZHANG Bingxiu, LIU Yong, MU Yanqiu, KONG Qingming, ZHENG Xianzhe.
Effects of Different Processing Technologies on the Stability of Soybean Oil and Application of Characteristic Band Selection by Interval Partial Least Squares and Successive Projections Algorithm for Near-Infrared Spectroscopic Prediction of Acid and Carbonyl Values
[J]. FOOD SCIENCE, 2020, 41(10): 8-13.
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[12] |
WANG Qiongfen, ZHENG Ping’an, LIU Ting, ZHANG Mengqi.
Adulteration Identification of Cod Liver Oils Based on Characteristic Fatty Acids
[J]. FOOD SCIENCE, 2019, 40(8): 326-330.
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[13] |
BAI Jing, LI Jiapeng, ZOU Hao, TIAN Hanyou, LIU Fei, LI Wencai, WANG Hui, ZHANG Zhenqi, WANG Shouwei.
Qualitative and Quantitative Detection of Pork in Adulterated Beef Patties Based on Near Infrared Spectroscopy
[J]. FOOD SCIENCE, 2019, 40(8): 287-292.
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[14] |
MA Xueting, ZHANG Jiukai, CHEN Ying, LIANG Jinzhong.
Recent Advances and Future Prospects in Analytical Techniques for Authentication of Edible Bird’s Nest
[J]. FOOD SCIENCE, 2019, 40(7): 296-303.
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[15] |
Lü Jiguang, WU Jie.
Fast Detection of Hami Melon Ripeness Based on Features Extracted from Acoustic Signals of Smartphone
[J]. FOOD SCIENCE, 2019, 40(24): 287-293.
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