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Identification and adulteration detection of Heterotrigona itama and Apis dorsata honey using differential scanning calorimetry and convolutional neural networks with data augmentation.

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第一作者： Norfarizah Hanim,Hassan

第一单位： Centre for Research on Multidimensional Separation Science, School of Chemical Sciences, Universiti Sains Malaysia,11800 Penang, Malaysia.

作者： Norfarizah Hanim,Hassan ^[1] ; Ngee Sing,Chong ^[2] ; Tiem Leong,Yoon ^[3] ; Yong Foo,Wong ^[4]

作者单位： Centre for Research on Multidimensional Separation Science, School of Chemical Sciences, Universiti Sains Malaysia,11800 Penang, Malaysia. ^[1] Department of Chemistry, Middle Tennessee State University, Murfreesboro, TN 37132, United States. ^[2] School of Physics, Universiti Sains Malaysia, 11800 Penang, Malaysia. Electronic address: tlyoon@usm.my. ^[3] Centre for Research on Multidimensional Separation Science, School of Chemical Sciences, Universiti Sains Malaysia,11800 Penang, Malaysia. Electronic address: wongyongfoo@usm.my. ^[4]

关键词 Convolutional neural network (CNN)Differential scanning calorimetry Honey adulteration SMOTE algorithm Stingless bee honey Tualang honey

医学主题词动物(Animals);蜂(Bees);量热法, 差式扫描(Calorimetry, Differential Scanning);食品污染(Food Contamination);蜂蜜(Honey)

DOI 10.1016/j.foodchem.2025.144398

PMID 40311574

发布时间 2025-05-27

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