Development of FTIR-ATR spectra and PLS regression combination model for discrimination of pure and adulterated acacia honey

A Fourier Transform Infrared Spectroscopy and attenuated total reflectance (FTIR-ATR)-based chemometric model was evaluated for the rapid identification and estimation of adulterants in honey. Two types of honey, bee honey and stingless bee honey, were adulterated with acid adulterants (acetic acid,...

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Vydané v:Food control Ročník 169; s. 110996
Hlavní autori: Fakhlaei, Rafieh, Babadi, Arman Amani, Ariffin, Naziruddin Mat, Xiaobo, Zou
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier Ltd 01.03.2025
Predmet:
Acacia
acetic acid
acidity
adulterated products
Adulteration
Bee honey
brix
cane sugar
chemometrics
citric acid
corn syrup
food safety
Fourier transform infrared spectroscopy
fructose
FTIR-ATR
glucose
honey
liquids
nondestructive methods
reflectance
regression analysis
Stingless bee honey
stingless bees
sucrose
tamarinds
water content
FTIR-ATR
Bee honey
Stingless bee honey
Adulteration
ISSN:0956-7135
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Shrnutí:A Fourier Transform Infrared Spectroscopy and attenuated total reflectance (FTIR-ATR)-based chemometric model was evaluated for the rapid identification and estimation of adulterants in honey. Two types of honey, bee honey and stingless bee honey, were adulterated with acid adulterants (acetic acid, citric acid, and tamarind extract) at different concentrations of 1%, 3%, 5%, and 7% and sugar adulterants (liquid corn syrup, cane sugar, palm sugar, and inverted sugar) at different concentrations of 1%, 2%, and 3%. The physicochemical properties (Brix, moisture content, pH, and free acidity) and sugar contents (glucose, fructose, and sucrose) of each type of honey and their adulterated samples were determined before FTIR analysis. For all the samples, FTIR spectra were acquired in the mid-infrared range (400-3600 cm−1) and the spectra obtained were subjected to partial least squares (PLS) analysis to develop the model for the determination of adulterants in honey samples. The PLS model produced high coefficient of determination (R2) for bee honey adulterated with acetic acid (0.95), citric acid (0.98), tamarind extract (0.97), and stingless bee honey adulterated with liquid corn syrup (0.99), inverted sugar (0.91), cane sugar (0.86), and palm sugar (0.77). A recognition model was developed for mixture detection and verified through the physicochemical analysis. The combination of FTIR-ATR spectra and the PLS regression model can be a fast, reliable, nondestructive method to detect honey adulteration. •Analysing the physicochemical properties of pure and adulterated honey.•Sugar contents determination of pure and adulterated honey by using HPLC.•FTIR-ATR based PLS-R for discrimination of pure and adulterated honey.
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ISSN:0956-7135
DOI:10.1016/j.foodcont.2024.110996