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食品营养成分分析概述:生物分析技术及实用方案。

An overview of nutritional profiling in foods: Bioanalytical techniques and useful protocols.

作者信息

Mondal Deb Duhita, Chakraborty Ushashi, Bera Manotosh, Ghosh Subhrojyoti, Kar Debasish

机构信息

Department of Biotechnology, Heritage Institute of Technology, Kolkata, India.

Department of Biotechnology, Ramaiah University of Applied Sciences, Bengaluru, India.

出版信息

Front Nutr. 2023 Mar 21;10:1124409. doi: 10.3389/fnut.2023.1124409. eCollection 2023.

Abstract

Maintaining a nutritious diet is essential for humans if they want to live a healthier life. Several food businesses and food safety organizations play a significant role and offer useful ways for improving nutritional quality that assists consumers in making informed selections. Making poor food choices and consuming unhealthy meals are the main causes of non-communicable diseases (NCDs). Nutritional profiling (NP) models are developed to evaluate the nutritional value, calorie content, and the amount of micronutrients and macronutrients contained in a given food accompanied by additional details on the nutritional anomaly provided by published standard nutrients and nutritional databases. To construct an ideal nutritional model that can facilitate food consumption, bioanalytical methods such as chromatography, microscopic techniques, molecular assays, and metabolomics can be applied. With the use of these technologies, one can learn more about the health advantages of nutrition and how to prevent disease. A wider element of NP is also provided by the developing technologies in the area of nutrition research, such as nanotechnology, proteomics, and microarray technology. In this review, we are focusing on the different bioanalytical techniques and the various protocols of NP and their application and refinement of the models. We have evaluated various NP techniques currently used in the food industry for the detection of different components present in food items.

摘要

如果人们想过上更健康的生活,保持营养均衡的饮食至关重要。一些食品企业和食品安全组织发挥着重要作用,并提供有助于提高营养质量的实用方法,帮助消费者做出明智的选择。不良的食物选择和不健康的饮食是导致非传染性疾病(NCDs)的主要原因。营养成分分析(NP)模型旨在评估特定食物中的营养价值、卡路里含量、微量营养素和常量营养素的含量,同时还会提供已发布的标准营养素和营养数据库中关于营养异常的更多详细信息。为构建一个有助于食物消费的理想营养模型,可以应用色谱法、显微镜技术、分子分析和代谢组学等生物分析方法。通过使用这些技术,人们可以更多地了解营养对健康的益处以及如何预防疾病。营养研究领域不断发展的技术,如纳米技术、蛋白质组学和微阵列技术,也为NP提供了更广泛的元素。在这篇综述中,我们重点关注不同的生物分析技术、NP的各种方案及其在模型中的应用和优化。我们评估了目前食品行业中用于检测食品中不同成分的各种NP技术。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9556/10070841/8c454a73b205/fnut-10-1124409-g0001.jpg

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