A simple approach for rapid detection and quantification of adulterants in stingless bees (Heterotrigona itama) honey

In this study, we propose an easy approach by combining the Fourier transform infrared and attenuated total reflectance (FTIR-ATR) spectroscopy together with chemometrics analysis for rapid detection and accurate quantification of five adulterants such as fructose, glucose, sucrose, corn syrup and c...

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Main Authors: Se, Kuan Wei, Ghoshal, Sib Krishna, Abdul Wahab, Roswanira, Raja Ibrahim, Raja Kamarulzaman, Lani, Mohd. Nizam
Format: Article
Published: Elsevier Ltd 2018
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Online Access:http://eprints.utm.my/id/eprint/97084/
http://dx.doi.org/10.1016/j.foodres.2017.11.012
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Institution: Universiti Teknologi Malaysia
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spelling my.utm.970842022-09-12T07:59:24Z http://eprints.utm.my/id/eprint/97084/ A simple approach for rapid detection and quantification of adulterants in stingless bees (Heterotrigona itama) honey Se, Kuan Wei Ghoshal, Sib Krishna Abdul Wahab, Roswanira Raja Ibrahim, Raja Kamarulzaman Lani, Mohd. Nizam QC Physics In this study, we propose an easy approach by combining the Fourier transform infrared and attenuated total reflectance (FTIR-ATR) spectroscopy together with chemometrics analysis for rapid detection and accurate quantification of five adulterants such as fructose, glucose, sucrose, corn syrup and cane sugar in stingless bees (Heterotrigona itama) honey harvested in Malaysia. Adulterants were classified using principal component analysis and soft independent modeling class analogy, where the first derivative of the spectra in the wavenumber range of 1180–750 cm− 1 was utilized. The protocol could satisfactorily discriminate the stingless bees honey samples that were adulterated with the concentrations of corn syrup above 8% (w/w) and cane sugar over 2% (w/w). Feasibility of integrating FTIR-ATR with chemometrics for precise quantification of the five adulterants was affirmed using partial least square regression (PLSR) analysis. The study found that optimal PLSR analysis achieved standard error of calibrations and standard error of predictions within an acceptable range of 0.686–1.087% and 0.581–1.489%, respectively, indicating good predictive capability. Hence, the method developed here for detecting and quantifying adulteration in H. itama honey samples is accurate and rapid, requiring only 7–8 min to complete as compared to 3 h for the standard method, AOAC method 998.12. Elsevier Ltd 2018-03 Article PeerReviewed Se, Kuan Wei and Ghoshal, Sib Krishna and Abdul Wahab, Roswanira and Raja Ibrahim, Raja Kamarulzaman and Lani, Mohd. Nizam (2018) A simple approach for rapid detection and quantification of adulterants in stingless bees (Heterotrigona itama) honey. Food Research International, 105 (NA). pp. 453-460. ISSN 0963-9969 http://dx.doi.org/10.1016/j.foodres.2017.11.012 DOI:10.1016/j.foodres.2017.11.012
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QC Physics
spellingShingle QC Physics
Se, Kuan Wei
Ghoshal, Sib Krishna
Abdul Wahab, Roswanira
Raja Ibrahim, Raja Kamarulzaman
Lani, Mohd. Nizam
A simple approach for rapid detection and quantification of adulterants in stingless bees (Heterotrigona itama) honey
description In this study, we propose an easy approach by combining the Fourier transform infrared and attenuated total reflectance (FTIR-ATR) spectroscopy together with chemometrics analysis for rapid detection and accurate quantification of five adulterants such as fructose, glucose, sucrose, corn syrup and cane sugar in stingless bees (Heterotrigona itama) honey harvested in Malaysia. Adulterants were classified using principal component analysis and soft independent modeling class analogy, where the first derivative of the spectra in the wavenumber range of 1180–750 cm− 1 was utilized. The protocol could satisfactorily discriminate the stingless bees honey samples that were adulterated with the concentrations of corn syrup above 8% (w/w) and cane sugar over 2% (w/w). Feasibility of integrating FTIR-ATR with chemometrics for precise quantification of the five adulterants was affirmed using partial least square regression (PLSR) analysis. The study found that optimal PLSR analysis achieved standard error of calibrations and standard error of predictions within an acceptable range of 0.686–1.087% and 0.581–1.489%, respectively, indicating good predictive capability. Hence, the method developed here for detecting and quantifying adulteration in H. itama honey samples is accurate and rapid, requiring only 7–8 min to complete as compared to 3 h for the standard method, AOAC method 998.12.
format Article
author Se, Kuan Wei
Ghoshal, Sib Krishna
Abdul Wahab, Roswanira
Raja Ibrahim, Raja Kamarulzaman
Lani, Mohd. Nizam
author_facet Se, Kuan Wei
Ghoshal, Sib Krishna
Abdul Wahab, Roswanira
Raja Ibrahim, Raja Kamarulzaman
Lani, Mohd. Nizam
author_sort Se, Kuan Wei
title A simple approach for rapid detection and quantification of adulterants in stingless bees (Heterotrigona itama) honey
title_short A simple approach for rapid detection and quantification of adulterants in stingless bees (Heterotrigona itama) honey
title_full A simple approach for rapid detection and quantification of adulterants in stingless bees (Heterotrigona itama) honey
title_fullStr A simple approach for rapid detection and quantification of adulterants in stingless bees (Heterotrigona itama) honey
title_full_unstemmed A simple approach for rapid detection and quantification of adulterants in stingless bees (Heterotrigona itama) honey
title_sort simple approach for rapid detection and quantification of adulterants in stingless bees (heterotrigona itama) honey
publisher Elsevier Ltd
publishDate 2018
url http://eprints.utm.my/id/eprint/97084/
http://dx.doi.org/10.1016/j.foodres.2017.11.012
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