Qualitative and quantitative analysis of milk for the detection of adulteration by Laser Induced Breakdown Spectroscopy (LIBS)

Qualitative and quantitative analysis of milk for the detection of adulteration by Laser Induced Breakdown Spectroscopy (LIBS)
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DOI:
10.1016/j.foodchem.2017.04.017
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发表时间:
2017-10-01
期刊:
影响因子:
8.8
通讯作者:
Caceres, J. O.
Caceres, J. O.
中科院分区:
农林科学1区
文献类型:
--
作者:
Moncayo, S.;Manzoor, S.;Caceres, J. O.

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本研究的重点是建立一种基于激光诱导击破光谱(LIBS)的快速、低成本的牛奶掺假质量控制、溯源和检测方法。研究了两个掺假案例;三聚氰胺掺假婴幼儿奶粉中三聚氰胺含量的定量分析。利用主成分分析(PCA)和神经网络(NN)对LIBS光谱进行分析,获得了98%的正确分类率和100%的鲁棒性。对于三聚氰胺的定量,已经制定了两种方法;单因素分析采用CN发射波段和多因素校正NN模型,相关系数(R-2)分别为0.982和0.999。讨论了利用LIBS技术结合化学计量分析在食品工业中进行乳制品质量控制的潜在用途。(C) 2017 Elsevier Ltd.版权所有。
The present work focuses on the development of a fast and cost effective method based on Laser Induced Breakdown Spectroscopy (LIBS) to the quality control, traceability and detection of adulteration in milk. Two adulteration cases have been studied; a qualitative analysis for the discrimination between different milk blends and quantification of melamine in adulterated toddler milk powder. Principal Component Analysis (PCA) and neural networks (NN) have been used to analyze LIBS spectra obtaining a correct classification rate of 98% with a 100% of robustness. For the quantification of melamine, two methodologies have been developed; univariate analysis using CN emission band and multivariate calibration NN model obtaining correlation coefficient (R-2) values of 0.982 and 0.999 respectively. The results of the use of LIBS technique coupled with chemometric analysis are discussed in terms of its potential use in the food industry to perform the quality control of this dairy product. (C) 2017 Elsevier Ltd. All rights reserved.