Fingerprinting using vibrational spectroscopy and chemometrics for determining the presence of non-halal meats in food products

Claude Mona Airin , Muhammad Jefriyanto Budikafa , Yuny Erwanto , Sudjadi Sudjadi , Pudji Astuti , Sarmin Sarmin , Anjar Windarsih , Abdul Rohman
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引用次数: 0

Abstract

The development of analytical methods designed to detect non-halal meats in the presence of halal meats has increased exponentially in the last 20 years. High quality meats are substituted with lesser ones that are non-halal meats. This issue of particular concern for the Islamic community since Muslims are not allowed to consume any food products containing non-halal meats such as pork, rat meat, and canine meat. Most tests are qualitative although quantitative methods are also available. Near infrared spectroscopy (NIR-S) and Fourier transform infrared spectroscopy (FTIR-S) in combination with chemometrics offers the potential tools for the qualitative or quantitative analyses of non-halal meats in food products. The objective of this review was to highlight the recent applications of NIR-S and FTIR-S coupled with chemometrics, especially pattern recognition and multivariate calibrations for determination of non-halal meats in food samples. This review, hopefully will be useful to regulatory bodies responsible for halal certification.
用振动光谱和化学计量学测定食品中非清真肉类的指纹图谱
在清真肉类存在的情况下,用于检测非清真肉类的分析方法的发展在过去20年中呈指数增长。高品质的肉类被非清真肉类取代。这是伊斯兰社区特别关注的问题,因为穆斯林不允许食用任何含有非清真肉类的食品,如猪肉、老鼠肉和狗肉。大多数测试是定性的,尽管也有定量的方法。近红外光谱(NIR-S)和傅里叶变换红外光谱(FTIR-S)结合化学计量学为食品中非清真肉类的定性或定量分析提供了潜在的工具。本综述的目的是强调NIR-S和FTIR-S结合化学计量学的最新应用,特别是模式识别和多变量校准在食品样品中非清真肉类的测定。本综述希望对负责清真认证的监管机构有所帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
4.50
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