Identification of transgenic foods using NIR spectroscopy: A review

被引：95
作者：
Alishahi, A. [1 ]
Farahmand, H. [1 ]
Prieto, N. [2 ]
Cozzolino, D. [3 ]
机构：
[1] Univ Tehran, Dept Fisheries & Environm Sci, Karaj, Iran
[2] CSIC, Estac Agr Expt, Leon 24346, Spain
[3] Scottish Agr Coll, Anim Biol Div, Aberdeen AB21 9YA, Craibstone Stat, Scotland
来源：
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY | 2010年 / 75卷 / 01期
关键词：
NIRS; Food; Transgenic; Discrimination; INFRARED REFLECTANCE SPECTROSCOPY; NONDESTRUCTIVE MEASUREMENT; MULTIVARIATE CALIBRATION; SOLUBLE SOLIDS; MEAT; DIFFERENTIATION; ADULTERATION; FEASIBILITY; PREDICTION; COMPONENTS;
D O I：
10.1016/j.saa.2009.10.001
中图分类号：
O433 [光谱学];
学科分类号：
0703 ; 070302 ;
摘要：
The utilization of chemometric methods in the quantitative and qualitative analysis of feeds, foods, medicine and so on has been accompanied with the great evolution in the progress and in the near infrared spectroscopy (NIRS). Hence, recently the application of NIR spectroscopy has extended on the context of genetics and transgenic products. The aim of this review was to investigate the application of NIR spectroscopy to identificate transgenic products and to compare it with the traditional methods. The results Of Copious researches showed that the application of NIRS technology was successful to distinguish transgenic foods and it has advantages Such as fast, avoiding time-consuming, non-destructive and low cost in relation to the antecedent methods such as PCR and ELISA. (C) 2009 Elsevier B.V. All rights reserved.
引用
收藏
页码：1 / 7
页数：7
相关论文
共 56 条
[1]   Detection of genetically modified organisms in foods [J].
Ahmed, FE .
TRENDS IN BIOTECHNOLOGY, 2002, 20 (05) :215-223
[2]   Determination of saturate, aromatic, resin, and asphaltenic (SARA) components in crude oils by means of infrared and near-infrared spectroscopy [J].
Aske, N ;
Kallevik, H ;
Sjöblom, J .
ENERGY & FUELS, 2001, 15 (05) :1304-1312
[3]   Changes in carotenoid content and distribution in living plant tissue can be observed and mapped in situ using NIR-FT-Raman spectroscopy [J].
Baranski, R ;
Baranska, M ;
Schulz, H .
PLANTA, 2005, 222 (03) :448-457
[4]   STANDARD NORMAL VARIATE TRANSFORMATION AND DE-TRENDING OF NEAR-INFRARED DIFFUSE REFLECTANCE SPECTRA [J].
BARNES, RJ ;
DHANOA, MS ;
LISTER, SJ .
APPLIED SPECTROSCOPY, 1989, 43 (05) :772-777
[5]   Calibration in non-linear near infrared reflectance spectroscopy:: a comparison of several methods [J].
Blanco, M ;
Coello, J ;
Iturriaga, H ;
Maspoch, S ;
Pagès, J .
ANALYTICA CHIMICA ACTA, 1999, 384 (02) :207-214
[6]   Multivariate calibration - What is in chemometrics for the analytical chemist? [J].
Bro, R .
ANALYTICA CHIMICA ACTA, 2003, 500 (1-2) :185-194
[7]   Multivariate data analysis as a tool in advanced quality monitoring in the food production chain [J].
Bro, R ;
van den Berg, F ;
Thybo, A ;
Andersen, CM ;
Jorgensen, BM ;
Andersen, H .
TRENDS IN FOOD SCIENCE & TECHNOLOGY, 2002, 13 (6-7) :235-244
[8]   Classification of single- and double-mutant corn endosperm genotypes by near-infrared transmittance spectroscopy [J].
Campbell, MR ;
Sykes, J ;
Glover, DV .
CEREAL CHEMISTRY, 2000, 77 (06) :774-778
[9]   Theory and application of near infrared reflectance spectroscopy in determination of food quality [J].
Cen, Haiyan ;
He, Yong .
TRENDS IN FOOD SCIENCE & TECHNOLOGY, 2007, 18 (02) :72-83
[10]   Feasibility study on identification of green, black and Oolong teas using near-infrared reflectance spectroscopy based on support vector machine (SVM) [J].
Chen, Quansheng ;
Zhao, Jiewen ;
Fang, C. H. ;
Wang, Dongmei .
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2007, 66 (03) :568-574
123456