Verification of authenticity and fraud detection in South African honey using NIR spectroscopy

被引:149
作者
Guelpa, Anina [1 ]
Marini, Federico [2 ]
du Plessis, Anton [3 ]
Slabbert, Ruhan [4 ]
Manley, Marena [1 ]
机构
[1] Stellenbosch Univ, Dept Food Sci, Private Bag X1, ZA-7602 Stellenbosch, South Africa
[2] Univ Roma La Sapienza, Dept Chem, Ple Aldo Moro 5, I-00185 Rome, Italy
[3] Stellenbosch Univ, Cent Analyt Facil, CT Scanner Facil, Private Bag X1, ZA-7602 Stellenbosch, South Africa
[4] Stellenbosch Univ, Dept Ancient Studies, Private Bag X1, ZA-7602 Stellenbosch, South Africa
关键词
South African honey; Near-infrared (NIR) spectroscopy; Authenticity; Fraud; Partial least squares discriminant analysis (PLS-DA); NEAR-INFRARED SPECTROSCOPY; FRUCTOSE CORN SYRUP; FLORAL ORIGIN; ADULTERATION DETECTION; MASS-SPECTROMETRY; LEAST-SQUARES; SUGAR SYRUPS; HPAEC-PAD; CLASSIFICATION; DISCRIMINATION;
D O I
10.1016/j.foodcont.2016.11.002
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
The South African honey industry will benefit from a reliable method that can verify authenticity as well as detect fraudulence of honey that is on the market. This work presents the use of near-infrared (NIR) spectroscopy in combination with chemometrics as a fast and relatively inexpensive method to discriminate between authentic South African and imported and/or adulterated honey. A supervised chemometric approach was followed on NIR spectra collected from genuine South African honey, as well as intentionally adulterated honeys with sugar solutions (glucose and fructose) and also cheap imported honey. By using partial least squares discriminant analysis (PLS-DA), overall classification accuracies of between 93.3% and 99.9% were obtained when using three different NIR instruments (a laboratory instrument, as well as a portable and a mobile instruments). The usefulness of NIR spectroscopy for accurate honey classifications, regardless the instrument specifications, are demonstrated. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1388 / 1396
页数:9
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