计算机科学
数据科学
质量(理念)
领域(数学)
风险分析(工程)
管理科学
工程类
数学
业务
认识论
哲学
纯数学
作者
Graciela Artavia,Carolina Cortés-Herrera,Fabio Granados-Chinchilla
出处
期刊:Foods
[MDPI AG]
日期:2021-05-13
卷期号:10 (5): 1081-1081
被引量:24
标识
DOI:10.3390/foods10051081
摘要
This review presents an overall glance at selected instrumental analytical techniques and methods used in food analysis, focusing on their primary food science research applications. The methods described represent approaches that have already been developed or are currently being implemented in our laboratories. Some techniques are widespread and well known and hence we will focus only in very specific examples, whilst the relatively less common techniques applied in food science are covered in a wider fashion. We made a particular emphasis on the works published on this topic in the last five years. When appropriate, we referred the reader to specialized reports highlighting each technique’s principle and focused on said technologies’ applications in the food analysis field. Each example forwarded will consider the advantages and limitations of the application. Certain study cases will typify that several of the techniques mentioned are used simultaneously to resolve an issue, support novel data, or gather further information from the food sample.
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