近红外光谱技术在食用菌品质检测方面的应用研究进展
Application Progresses on Near-infrared Spectroscopy in Quality Detection of Edible Fungi
王玉玲 1王婧茹 2刘红 3秦令祥 4高愿军 4周海旭 2李波 2何鸿举2
作者信息
- 1. 河南科技学院农学院,河南新乡 453003
- 2. 河南科技学院食品学院,河南新乡 453003
- 3. 海南师范大学化学与化工学院/海口市热带特色药食同源植物研究与开发重点实验室,海南海口 571158
- 4. 漯河食品职业学院,河南漯河 462333
- 折叠
摘要
食用菌是一类高蛋白、低脂肪且兼具药用价值的大型真菌,因其多营养、鲜风味、低热量、多功效等特点而成为餐桌上常备食材之一.随着消费理念不断转变,食用菌的高品质和高营养需求成为必然.近红外光谱(near-infrared spectroscopy,NIRS)技术因其快捷、无损、多组分同时检测、绿色无污染等优点,被广泛应用于食用菌品质检测研究.本文全面归纳综述了近 5年来NIRS技术结合化学计量学方法在食用菌理化组分、活性成分、品种鉴别、产地溯源、病原菌污染、掺假识别等及其他方面的研究及应用进展,同时提出了NIRS技术在食用菌品质检测应用方面的发展策略,以期为完善NIRS技术检测食用菌理论、研发专用食用菌检测设备提供方法参考和思路借鉴.
Abstract
Edible fungi is a kind of large fungi with high protein,low fat and medicinal value.It has become one of the common food ingredients on the table because of its characteristics of more nutrition,fresh flavor,low calories and multi-functions.With the continuous upgrading of the consumption concept,high quality and nutrition have become necessary requirements for edible fungi consumption.Near-infrared spectroscopy(NIRS)technology has been widely used in the quality detection of edible fungi because of its advantages of fast,non-destructive,multi-component simultaneous detection,green and pollution-free.This paper comprehensively summarizes the research and application progresses of NIRS technology combined with chemometrics in quality evaluation of edible fungi in terms of physical and chemical components,active ingredients,variety identification,origin tracing,pathogen contamination and adulteration recognition in recent five years.At the same time,the development strategy of NIRS technology in the quality detection of edible fungi is proposed,which will provide methodology and ideas reference for improving the detection theory of NIRS technology and developing special testing equipment.
关键词
近红外(NIR)/化学计量学/食用菌/品质/检测Key words
near-infrared(NIR)/chemometrics/edible fungi/quality/inspection引用本文复制引用
基金项目
河南省漯河市重大科技专项(20210109)
中原科技创新领军人才项目(224200510019)
海口市重点科技计划项目(2021-034)
出版年
2024
国家科技期刊平台
NSTL
维普
万方数据