Classification of simple and complex sugar adulterants in honey by mid-infrared spectroscopy

被引:48
作者
Sivakesava, S [1 ]
Irudayaraj, J [1 ]
机构
[1] Penn State Univ, Dept Agr & Biol Engn, University Pk, PA 16802 USA
关键词
beet invert sugar; cane invert sugar; Fourier transform infrared spectroscopy; linear discriminant analysis;
D O I
10.1046/j.1365-2621.2002.00573.x
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
Adulteration of honey with sugars is the most crucial quality assurance concern to the honey industry. The application of Fourier transform infrared spectroscopy as a screening tool for the determination of the type of sugar adulterant in honey was investigated. Spectra of honey adulterated with simple and complex sugars were recorded in the mid-infrared range using the attenuated total reflectance accessory of a Fourier transform infrared spectrometer. Adulterants considered were sugars (glucose, fructose and sucrose) and invert sugars (cane invert and beet invert). Predictive models were developed to classify the adulterated honey samples using discriminant analysis. Spectral data were compressed using principal component analysis and partial least-square methods. Linear discriminant analysis was used to discriminate the type of adulterant in three different honey varieties. An optimum classification of 100% was achieved for honey samples adulterated with glucose, fructose, sucrose and beet and cane invert sugars. Results demonstrated that discriminant analysis of the spectra of adulterated honey samples could be used for rapid detection of adulteration in honey.
引用
收藏
页码:351 / 360
页数:10
相关论文
共 37 条
[1]   Authentication of the botanical and geographical origin of honey by mid-infrared spectroscopy [J].
Ruoff, Kaspar ;
Luginbuehl, Werner ;
Kuenzli, Raphael ;
Iglesias, Maria Teresa ;
Bogdanov, Stefan ;
Bosset, Jacques Olivier ;
von der Ohe, Katharina ;
von der Ohe, Werner ;
Amado, Renato .
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2006, 54 (18) :6873-6880
[2]   Classification of Smoke Tainted Wines Using Mid-Infrared Spectroscopy and Chemometrics [J].
Fudge, Anthea L. ;
Wilkinson, Kerry L. ;
Ristic, Renata ;
Cozzolino, Daniel .
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2012, 60 (01) :52-59
[3]   Study of Sugar Transformations in Carrots During Storage Using Snow by Mid-Infrared Spectroscopy and Chemometrics [J].
Nagai, Naoto ;
Okada, Hideki ;
Watanabe, Satoshi ;
Shimojo, Sayaka .
APPLIED SPECTROSCOPY, 2012, 66 (09) :1087-1090
[4]   Characterization of soils using photoacoustic mid-infrared spectroscopy [J].
Du Changwen ;
Linker, Raphael ;
Shaviv, Avi .
APPLIED SPECTROSCOPY, 2007, 61 (10) :1063-1067
[5]   Applications of mid-infrared spectroscopy in the clinical laboratory setting [J].
De Bruyne, Sander ;
Speeckaert, Marijn M. ;
Delanghe, Joris R. .
CRITICAL REVIEWS IN CLINICAL LABORATORY SCIENCES, 2018, 55 (01) :1-20
[6]   Prediction of inverted cane sugar adulteration of honey by Fourier transform infrared spectroscopy [J].
Sivakesava, S ;
Irudayaraj, J .
JOURNAL OF FOOD SCIENCE, 2001, 66 (07) :972-978
[7]   Structural Analysis of Mold Temperature Dependence of Polycarbonate by Mid-Infrared Spectroscopy [J].
Nagai, Naoto ;
Nishiyama, Itsuo ;
Ito, Hidemi .
APPLIED SPECTROSCOPY, 2013, 67 (10) :1132-1141
[8]   Classification and Authentication of Barley (Hordeum vulgare) Malt Varieties: Combining Attenuated Total Reflectance Mid-infrared Spectroscopy with Chemometrics [J].
K. Porker ;
M. Zerner ;
D. Cozzolino .
Food Analytical Methods, 2017, 10 :675-682
[9]   Classification and Authentication of Barley (Hordeum vulgare) Malt Varieties: Combining Attenuated Total Reflectance Mid-infrared Spectroscopy with Chemometrics [J].
Porker, K. ;
Zerner, M. ;
Cozzolino, D. .
FOOD ANALYTICAL METHODS, 2017, 10 (03) :675-682
[10]   Spectral cullet classification in the mid-infrared field for ceramic glass contaminants detection [J].
Serranti, S ;
Bonifazi, G ;
Pohl, R .
WASTE MANAGEMENT & RESEARCH, 2006, 24 (01) :48-59