Centro de Estudos em Leite, Departamento de Tecnologia Rural e Animal, Universidade Estadual do Sudoeste da Bahia, Itapetinga, Brazil.
Instituto de Química, Universidade Federal da Bahia, Salvador, Brazil.
J Sci Food Agric. 2021 Mar 30;101(5):1854-1860. doi: 10.1002/jsfa.10799. Epub 2020 Oct 7.
Contamination of milk by antibiotic residues represents risks to the health of consumers; therefore they should be monitored. The objective of this study was to propose a methodology for the determination of tylosin residues directly in fluid milk based on mid-infrared spectroscopy associated with chemometrics, using attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy associated with multilayer perceptron network (MLP) and partial least squares (PLS).
MLP was shown to be adequate for the discrimination of milk samples contaminated with tylosin below or equal to or above the maximum residue limit (MRL), with an accuracy greater than 99%, using FTIR spectra data. PLS was shown to be appropriate for the prediction of the very low concentrations (0-100 μg L ) of tylosin residues in milk using FTIR spectra data. PLS models with high correlation coefficients (R > 0.99) were generated.
FTIR with chemometrics proved to be a non-destructive, efficient and low-cost method for the investigation and quantification of tylosin residues directly in fluid milk. © 2020 Society of Chemical Industry.
抗生素残留污染牛奶会对消费者的健康构成威胁，因此应对其进行监测。本研究旨在提出一种基于中红外光谱结合化学计量学，直接测定液态奶中泰乐菌素残留的方法，采用衰减全反射傅里叶变换红外光谱（ATR-FTIR）结合多层感知器网络（MLP）和偏最小二乘法（PLS）。
MLP 能够很好地区分泰乐菌素残留量低于或等于或高于最大残留限量（MRL）的牛奶样品，其准确率大于 99%，使用 FTIR 光谱数据。PLS 适用于使用 FTIR 光谱数据预测牛奶中极低浓度（0-100μg/L）的泰乐菌素残留量。生成了具有高相关系数（R>0.99）的 PLS 模型。
FTIR 结合化学计量学被证明是一种非破坏性、高效且低成本的方法，可直接用于液态奶中泰乐菌素残留的检测和定量。 © 2020 英国化学学会。
