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Chu C, Wang H, Luo X, Wen P, Nan L, Du C, Fan Y, Gao D, Wang D, Yang Z, et al. Possible Alternatives: Identifying and Quantifying Adulteration in Buffalo, Goat, and Camel Milk Using Mid-Infrared Spectroscopy Combined with Modern Statistical Machine Learning Methods. Foods. 2023; 12(20):3856. https://doi.org/10.3390/foods12203856

Chu, Chu, Haitong Wang, Xuelu Luo, Peipei Wen, Liangkang Nan, Chao Du, Yikai Fan, Dengying Gao, Dongwei Wang, Zhuo Yang, and et al. 2023. "Possible Alternatives: Identifying and Quantifying Adulteration in Buffalo, Goat, and Camel Milk Using Mid-Infrared Spectroscopy Combined with Modern Statistical Machine Learning Methods" Foods 12, no. 20: 3856. https://doi.org/10.3390/foods12203856

Chu, C., Wang, H., Luo, X., Wen, P., Nan, L., Du, C., Fan, Y., Gao, D., Wang, D., Yang, Z., Yang, G., Liu, L., Li, Y., Hu, B., Abula, Z., & Zhang, S. (2023). Possible Alternatives: Identifying and Quantifying Adulteration in Buffalo, Goat, and Camel Milk Using Mid-Infrared Spectroscopy Combined with Modern Statistical Machine Learning Methods. Foods, 12(20), 3856. https://doi.org/10.3390/foods12203856