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Titolo:
Detection of inverted beet sugar adulteration of honey by FTIR spectroscopy
Autore:
Sivakesava, S; Irudayaraj, J;
Indirizzi:
Penn State Univ, Dept Agr & Biol Engn, University Pk, PA 16802 USA Penn State Univ University Pk PA USA 16802 n, University Pk, PA 16802 USA
Titolo Testata:
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
fascicolo: 8, volume: 81, anno: 2001,
pagine: 683 - 690
SICI:
0022-5142(200106)81:8<683:DOIBSA>2.0.ZU;2-3
Fonte:
ISI
Lingua:
ENG
Soggetto:
EXCHANGE LIQUID-CHROMATOGRAPHY; CAPILLARY GAS-CHROMATOGRAPHY; INFRARED SPECTROMETRY; DISCRIMINANT-ANALYSIS; INTERNAL STANDARD; CORN SYRUP; IR-SPECTRA; AUTHENTICITY; RATIO; OLIGOSACCHARIDES;
Keywords:
Fourier transform infrared spectroscopy; honey; beet invert sugar; adulteration; chemometrics; discriminant analysis;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Agriculture,Biology & Environmental Sciences
Citazioni:
36
Recensione:
Indirizzi per estratti:
Indirizzo: Irudayaraj, J Penn State Univ, Dept Agr & Biol Engn, 249 Agr Engn Bldg, University Pk, PA 16802 USA Penn State Univ 249 Agr Engn Bldg University Pk PA USA 16802
Citazione:
S. Sivakesava e J. Irudayaraj, "Detection of inverted beet sugar adulteration of honey by FTIR spectroscopy", J SCI FOOD, 81(8), 2001, pp. 683-690

Abstract

A combination of Fourier transform infrared (FTIR) spectroscopy and multivariate statistics as a screening tool for the determination of beet medium invert sugar adulteration in three different varieties of honey is discussed. Honey samples with different concentrations of beet invert sugar were scanned using the attenuated total reflectance (ATR) accessory of the Bio-RadFTS-6000 Fourier transform spectrometer. The spectral wavenumber region between 950 and 1500 cm(-1) was selected for partial least squares (PLS) regression to develop calibration models for beet invert sugar determination inhoney samples. Results from the PLS (first derivative) models were slightly better than those obtained with other calibration models. Predictive models were also developed to classify beet sugar invert in three different varieties of honey samples using discriminant analysis. Spectral data were compressed using the principal component method, and linear discriminant and canonical variate analyses were used to detect the level of beet invert sugar in honey samples. The best predictive model for adulterated honey sampleswas achieved with canonical variate analysis, which successfully classified 88-94 per cent of the validation set. The present study demonstrated thatFourier transform infrared spectroscopy could be used for rapid detection of beet invert sugar adulteration in different varieties of honey. (C) 2001Society of Chemical Industry.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 29/09/20 alle ore 00:05:13