Department of Food Process Engineering, National Institute of Technology, Rourkela 769008, Odisha, India.
Physiology, Biochemistry and Post-Harvest Technology Division, ICAR - Central Plantation Crops Research Institute, Kasaragod 671 124, Kerala, India.
Food Chem. 2022 Feb 1;369:130898. doi: 10.1016/j.foodchem.2021.130898. Epub 2021 Aug 19.
This review summarizes the use of spectroscopic processes-based analytical tools coupled with chemometric techniques for the identification of adulterants in edible oil. Investigational approaches of process analytical tools such asspectroscopy techniques, nuclear magnetic resonance (NMR), hyperspectral imaging (HSI), e-tongue and e-nose combined with chemometrics were used to monitor quality of edible oils. Owing to the variety and intricacy of edible oil properties along with the alterations in attributes of the PAT tools, the reliability of the tool used and the operating factors are the crucial components which require attention to enhance the efficiency in identification of adulterants. The combination of process analytical tools with chemometrics offers a robust technique with immense chemotaxonomic potential. These involves identification of adulterants, quality control, geographical origin evaluation, process evaluation, and product categorization.
本综述总结了基于光谱过程分析工具与化学计量学技术结合,用于鉴定食用油掺假物的应用。光谱技术、核磁共振(NMR)、高光谱成像(HSI)、电子舌和电子鼻等过程分析工具的研究方法与化学计量学相结合,用于监测食用油的质量。由于食用油性质的多样性和复杂性,以及 PAT 工具属性的变化,因此需要关注工具的可靠性和操作因素,以提高识别掺假物的效率。过程分析工具与化学计量学的结合提供了一种具有巨大化学分类潜力的强大技术。这些方法包括鉴定掺假物、质量控制、地理来源评估、工艺评估和产品分类。