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近红外分析技术在食品氨基酸检测中应用的研究进展
引用本文:於筱岚,徐宁,何勇.近红外分析技术在食品氨基酸检测中应用的研究进展[J].光谱学与光谱分析,2014,34(9):2377-2381.
作者姓名:於筱岚  徐宁  何勇
作者单位:1. 浙江大学农业与生物技术学院,浙江 杭州 310058
2. 浙江大学生物系统工程与食品科学学院,浙江 杭州 310058
3. 浙江工业大学药学院,浙江 杭州 310014
基金项目:国家自然科学基金项目(31071332)和国家支撑计划项目(2011BAD21B04)资助
摘    要:综述了近红外分析技术在农作物生长及食品加工处理过程中氨基酸检测的应用情况,及其研究进展。对近红外分析食品氨基酸应用中涉及的化学值HPLC检测以及化学计量学方法进行总结,对相关原始文献中的数据、资料和主要观点进行整理和归纳。对氨基酸的HPLC、化学计量学分析方法及其在农作物品质监测、茶叶中氨基酸和茶多酚含量的同时测定、饲料品质鉴定、奶酪火腿肉制品中氨基酸及其他化学成分含量的测定情况进行了综述,分析了方法的优缺点并对近红外分析技术在食品氨基酸检测中应用进行了展望。近红外光谱在氨基酸检测中应用的发展需基于氨基酸高效液相色谱检测的化学值来建立相应的模型,模型传递的问题是目前制约其大范围推广的主要原因。在线分析可以监测从原料到产品的整个反应变化过程,满足食品从生产到销售等领域中品质实时监控的需求,将是今后重要的发展方向。

关 键 词:近红外光谱  氨基酸  食品    
收稿时间:2013/10/4

Research Progress and Application Prospect of Near-Infrared Spectroscopy in Analysis of Food Amino Acid
YU Xiao-lan;XU Ning;HE Yong.Research Progress and Application Prospect of Near-Infrared Spectroscopy in Analysis of Food Amino Acid[J].Spectroscopy and Spectral Analysis,2014,34(9):2377-2381.
Authors:YU Xiao-lan;XU Ning;HE Yong
Institution:1. College of Agriculture & Biotechnology, Zhejiang University, Hangzhou 310058, China2. College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China3. College of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou 310014, China
Abstract:To investigate the progress and application of near infrared spectroscopy (NIR) used to detect amino acids in the growth of crops and food processing process. With online searching databases including ISI (Web of Knowledge), CNKI (China Knowledge Network), summarize the detection of chemical value using high performance liquid chromatography (HPLC) and chemometric methods involved in the application of NIR used to analyze amino acids in food, meanwhile summarize the data, materials and main topics in relevant original literature. Overview the methods of chemical value detection using HPLC and chemometric analysis, their applications in detecting the quality of crops, determining the content of water, amino acids and polyphenol in green tea, detecting the quality of feed and determining the content of amino acids in cheese, ham and meat products. We forecasted the application of NIR in determining the content of amino acids in food and analyzed its merits and drawbacks. The development of NIR’s application in amino acids detection should be based on the HPLC detection, and the problem of model transfer mainly restricts its large-scale promotion currently. Online analysis can monitor the entire reaction and change process from raw materials to products and thus meets the needs of real-time monitoring food quality from production to sales, and it will be an important direction for future.
Keywords:Near-infrared spectroscopy  Amino acid  Food
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