| [1] |
HAO Yu, MA Yiying, YU Litao, LI Guangzhi, WEI Zhichun, LIU Shuping, SHI Changbo.
Determination and Health Risk Assessment of 3-Chloropropanol and Glycidyl Esters in Infant Formula Milk Powder by Gas Chromatography-Tandem Mass Spectrometry
[J]. FOOD SCIENCE, 2023, 44(8): 337-344.
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| [2] |
LI Meng, YIN Qianlong, GAO Wenhao, WANG Xiaodi, TENG Xiangyu, LIU Ning.
Physicochemical Properties and Surface Composition of Infant Formula Powders Made from Different Milks
[J]. FOOD SCIENCE, 2023, 44(5): 45-52.
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| [3] |
ZHANG Haoyang, XIAO Yu, QIAO Chunyan, HAO Guo, LI Yan, LIU Yongfeng.
Comparative Differential Scanning Calorimetric Analysis of Thermal Properties of Bovine and Goat Milk Powder and Identification of Goat Milk Powder Adulteration with Bovine Milk Powder
[J]. FOOD SCIENCE, 2023, 44(4): 286-291.
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| [4] |
QI Yan, LI Jinqing, LI Cong, XU Qingpeng.
Determination of Pentachlorophenol in Milk Powder by Isotope Dilution Liquid Chromatography-Tandem Mass Spectrometry
[J]. FOOD SCIENCE, 2023, 44(16): 324-330.
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| [5] |
XIA Qi, HE Tianlun, HUANG Zhixuan, CHEN Da.
A Raman Imaging Methodology for Non-targeted Detection of Milk Powder Authenticity Using Flow-based Discrimination Neural Network
[J]. FOOD SCIENCE, 2023, 44(12): 315-321.
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| [6] |
CAI Jia’ang, LU Lixin, LU Lijing, PAN Liao.
Shelf Life Prediction of Milk Powder Based on Changes in Headspace Oxygen Concentration in Packaging
[J]. FOOD SCIENCE, 2023, 44(1): 209-214.
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| [7] |
ZHU Huiquan, WANG Xiaodan, SU Shican, WANG Jianfeng, PANG Xiaoyang, ZHANG Shuwen, LU Jing, LÜ Jiaping.
Fatty Acid Stability of Goat Milk Products Naturally and Artificially Enriched with Docosahexaenoic Acid during Storage
[J]. FOOD SCIENCE, 2022, 43(7): 14-22.
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| [8] |
XIA Qi, HUANG Zhixuan, BAO Lei, BU Hanping, CHEN Da.
A High-Speed Raman Imaging Method for the Detection of Adulteration in Milk Powder Using Self-encode Shrinkage Neural Network
[J]. FOOD SCIENCE, 2022, 43(24): 296-302.
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| [9] |
CHEN Chen, SHI Guohua, ZHANG Rui, ZHANG Tao, YAN Taotao, CHEN Boxu, ZHANG Zilun, ZHANG Yan, ZHOU Wei.
A Microdroplet Digital PCR Assay for Quantitative Analysis of Goat Milk Powder
[J]. FOOD SCIENCE, 2022, 43(22): 341-345.
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| [10] |
YE Meixia, LI Rong, JIANG Zitao, WANG Ying, TAN Jin, TANG Shuhua.
Analysis, Classification and Prediction of Volatile Flavor Components in Milk Powders for Different Age Groups
[J]. FOOD SCIENCE, 2022, 43(16): 242-252.
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| [11] |
SHAO Shuaibin, LIU Meihan, SHI Yuqing, HAO Chaolong, HAN Zhou, ZHANG Wei, CHEN Da.
Raman Spectroscopic Classification of Adulterants in Milk Powder Samples Using Convolutional Neural Network
[J]. FOOD SCIENCE, 2022, 43(14): 296-301.
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| [12] |
ZHANG Pengfei, FU Xueting, ZHAO Chunhua, LIU Xinyu, ZHANG Jie, ZHANG Meng, KOU Mingying, GE Wupeng, WANG Xin.
Isolation, Molecular Characteristics and Antimicrobial Susceptibility of Staphylococcus aureus inform the Production Chain of Goat Milk Powder
[J]. FOOD SCIENCE, 2021, 42(6): 291-297.
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| [13] |
ZONG Jing, HUANG Zhixuan, CHEN Xiaoyu, CHEN Da.
A New Non-targeted Screening Method for Milk Powder Safety Based on Improved Spectral Angle Mapping
[J]. FOOD SCIENCE, 2020, 41(2): 315-320.
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| [14] |
FAN Yumei, TIE Hang, XIE Xiao, SHI Chuanchao, ZHOU Guangyun, SU Ning, LIAO Feng.
Analysis of Characteristics, Structure and Composition of Protein in Donkey Milk Powder
[J]. FOOD SCIENCE, 2020, 41(12): 221-27.
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| [15] |
CHEN Xiaopeng, GU Caiqin, QI Yan, ZHANG Shijing.
Simultaneous Determination of 42 Steroid Hormones in Milk and Milk Powder by QuEChERS Combined with UPLC-MS/MS
[J]. FOOD SCIENCE, 2018, 39(8): 314-321.
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