Possible Alternatives: Identifying and Quantifying Adulteration in Buffalo, Goat, and Camel Milk Using Mid-Infrared Spectroscopy Combined with Modern Statistical Machine Learning Methods

Possible Alternatives: Identifying and Quantifying Adulteration in Buffalo, Goat, and Camel Milk Using Mid-Infrared Spectroscopy Combined with Modern Statistical Machine Learning Methods

Adulteration of higher priced milks with cheaper ones to obtain extra profit can adversely affect consumer health and the market. In this study, pure buffalo milk (BM), goat milk (GM), camel milk (CM), and their mixtures with 5–50% (vol/vol) cow milk or water were used. Mid-infrared spectroscopy (MI...

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Bibliographic Details
Main Authors: Chu Chu, Haitong Wang, Xuelu Luo, Peipei Wen, Liangkang Nan, Chao Du, Yikai Fan, Dengying Gao, Dongwei Wang, Zhuo Yang, Guochang Yang, Li Liu, Yongqing Li, Bo Hu, Zunongjiang Abula, Shujun Zhang
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Foods
Subjects:
mid-infrared spectroscopy
machine learning
milk adulteration
milk
Online Access:https://www.mdpi.com/2304-8158/12/20/3856

Internet

https://www.mdpi.com/2304-8158/12/20/3856

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