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基于组学的分析方法在食品真实性鉴别中的鸡种和品种鉴定。

Omics-Based Analytical Approaches for Assessing Chicken Species and Breeds in Food Authentication.

机构信息

Natural Medicines and Products Research Laboratory, Institute of Bioscience, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia.

Laboratory of Food Safety and Food Integrity, Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia.

出版信息

Molecules. 2021 Oct 28;26(21):6502. doi: 10.3390/molecules26216502.

Abstract

Chicken is known to be the most common meat type involved in food mislabeling and adulteration. Establishing a method to authenticate chicken content precisely and identifying chicken breeds as declared in processed food is crucial for protecting consumers' rights. Categorizing the authentication method into their respective omics disciplines, such as genomics, transcriptomics, proteomics, lipidomics, metabolomics, and glycomics, and the implementation of bioinformatics or chemometrics in data analysis can assist the researcher in improving the currently available techniques. Designing a vast range of instruments and analytical methods at the molecular level is vital for overcoming the technical drawback in discriminating chicken from other species and even within its breed. This review aims to provide insight and highlight previous and current approaches suitable for countering different circumstances in chicken authentication.

摘要

鸡肉是已知最常见的涉及食品标签欺诈和掺假的肉类。建立一种精确鉴定鸡肉含量的方法,并识别加工食品中所宣称的鸡品种,对于保护消费者的权益至关重要。将鉴定方法按照各自的组学学科进行分类,如基因组学、转录组学、蛋白质组学、脂质组学、代谢组学和糖组学,并在数据分析中应用生物信息学或化学计量学,可以帮助研究人员改进现有的技术。在分子水平上设计大量的仪器和分析方法对于克服从其他物种甚至同一品种中区分鸡的技术缺陷至关重要。本综述旨在提供见解,并强调适用于应对鸡肉鉴定中不同情况的先前和当前方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0673/8587031/5d67e9b4b236/molecules-26-06502-g001.jpg

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