Application of UV–Vis spectroscopy for the detection of adulteration in Mediterranean honeys

Dafni Dimakopoulou-Papazoglou; Nikolaos Ploskas; Salud Serrano; Carolina Santos Silva; Vasilis Valdramidis; Konstantinos Koutsoumanis; Eugenios Katsanidis

doi:10.1007/s00217-023-04347-1

Application of UV–Vis spectroscopy for the detection of adulteration in Mediterranean honeys

Dafni Dimakopoulou-Papazoglou^*
, Nikolaos Ploskas
, Salud Serrano
, Carolina Santos Silva
, Vasilis Valdramidis
, Konstantinos Koutsoumanis
, Eugenios Katsanidis

^*Corresponding author for this work

Aristotle University of Thessaloniki
University of Western Macedonia
Universidad de Cordoba
University of Malta
National and Kapodistrian University of Athens

Research output: Contribution to journal › Article › Scientific › peer-review

25 Citations (Scopus)

Abstract

The present study aimed to identify adulteration of honey with sugar syrups and colorants using UV–Vis spectroscopy, combined with multivariate statistical analysis. A total of 209 honeys were used, including 151 commercial honey samples (thyme, pine, and polyfloral honeys) collected from different countries of Mediterranean (Greece, Malta, Spain, Tunisia, and Turkey) and 58 adulterated Greek thyme honey samples by adding syrups and colorants. Honey adulteration was identified using Principal Component Analysis (PCA) along with Random Forest (RF), Partial Least Squares – Discriminant Analysis (PLS-DA), and Data Driven-Soft Independent Modelling of Class Analogies (DD-SIMCA) using the spectral range of 220–550 nm. Comparatively, DD-SIMCA models produced better results in terms of accuracy and sensitivity in most cases evaluated. The results support the good predictive capability of UV–Vis spectroscopy combined with chemometrics for the determination of honey adulteration, and thus, it could be utilized as a rapid, inexpensive, and simple method.

Original language	English
Pages (from-to)	3043-3053
Journal	European Food Research and Technology
DOIs	https://doi.org/10.1007/s00217-023-04347-1
Publication status	Published - Dec 2023
MoE publication type	A1 Journal article-refereed

Funding

This study was supported by Horizon Europe, No 1932. This paper is part of the PRIMA programme, supported by European Union’s Horizon 2020 research and innovation programme, under grant agreement No 1932, project MEDIFIT (Call 2019 Section "" Agrofood IA).

Keywords

Adulteration
Colorants
Mediterranean honey
Multivariate statistical analysis
Sugars
UV–Vis spectroscopy

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10.1007/s00217-023-04347-1

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title = "Application of UV–Vis spectroscopy for the detection of adulteration in Mediterranean honeys",

abstract = "The present study aimed to identify adulteration of honey with sugar syrups and colorants using UV–Vis spectroscopy, combined with multivariate statistical analysis. A total of 209 honeys were used, including 151 commercial honey samples (thyme, pine, and polyfloral honeys) collected from different countries of Mediterranean (Greece, Malta, Spain, Tunisia, and Turkey) and 58 adulterated Greek thyme honey samples by adding syrups and colorants. Honey adulteration was identified using Principal Component Analysis (PCA) along with Random Forest (RF), Partial Least Squares – Discriminant Analysis (PLS-DA), and Data Driven-Soft Independent Modelling of Class Analogies (DD-SIMCA) using the spectral range of 220–550 nm. Comparatively, DD-SIMCA models produced better results in terms of accuracy and sensitivity in most cases evaluated. The results support the good predictive capability of UV–Vis spectroscopy combined with chemometrics for the determination of honey adulteration, and thus, it could be utilized as a rapid, inexpensive, and simple method.",

keywords = "Adulteration, Colorants, Mediterranean honey, Multivariate statistical analysis, Sugars, UV–Vis spectroscopy",

author = "Dafni Dimakopoulou-Papazoglou and Nikolaos Ploskas and Salud Serrano and Silva, \{Carolina Santos\} and Vasilis Valdramidis and Konstantinos Koutsoumanis and Eugenios Katsanidis",

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doi = "10.1007/s00217-023-04347-1",

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AU - Dimakopoulou-Papazoglou, Dafni

AU - Ploskas, Nikolaos

AU - Serrano, Salud

AU - Silva, Carolina Santos

AU - Valdramidis, Vasilis

AU - Koutsoumanis, Konstantinos

AU - Katsanidis, Eugenios

N1 - Funding Information: This paper is part of the PRIMA programme, supported by European Union’s Horizon 2020 research and innovation programme, under grant agreement No 1932, project MEDIFIT (Call 2019 Section "" Agrofood IA).

PY - 2023/12

Y1 - 2023/12

N2 - The present study aimed to identify adulteration of honey with sugar syrups and colorants using UV–Vis spectroscopy, combined with multivariate statistical analysis. A total of 209 honeys were used, including 151 commercial honey samples (thyme, pine, and polyfloral honeys) collected from different countries of Mediterranean (Greece, Malta, Spain, Tunisia, and Turkey) and 58 adulterated Greek thyme honey samples by adding syrups and colorants. Honey adulteration was identified using Principal Component Analysis (PCA) along with Random Forest (RF), Partial Least Squares – Discriminant Analysis (PLS-DA), and Data Driven-Soft Independent Modelling of Class Analogies (DD-SIMCA) using the spectral range of 220–550 nm. Comparatively, DD-SIMCA models produced better results in terms of accuracy and sensitivity in most cases evaluated. The results support the good predictive capability of UV–Vis spectroscopy combined with chemometrics for the determination of honey adulteration, and thus, it could be utilized as a rapid, inexpensive, and simple method.

AB - The present study aimed to identify adulteration of honey with sugar syrups and colorants using UV–Vis spectroscopy, combined with multivariate statistical analysis. A total of 209 honeys were used, including 151 commercial honey samples (thyme, pine, and polyfloral honeys) collected from different countries of Mediterranean (Greece, Malta, Spain, Tunisia, and Turkey) and 58 adulterated Greek thyme honey samples by adding syrups and colorants. Honey adulteration was identified using Principal Component Analysis (PCA) along with Random Forest (RF), Partial Least Squares – Discriminant Analysis (PLS-DA), and Data Driven-Soft Independent Modelling of Class Analogies (DD-SIMCA) using the spectral range of 220–550 nm. Comparatively, DD-SIMCA models produced better results in terms of accuracy and sensitivity in most cases evaluated. The results support the good predictive capability of UV–Vis spectroscopy combined with chemometrics for the determination of honey adulteration, and thus, it could be utilized as a rapid, inexpensive, and simple method.

KW - Adulteration

KW - Colorants

KW - Mediterranean honey

KW - Multivariate statistical analysis

KW - Sugars

KW - UV–Vis spectroscopy

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EP - 3053

JO - European Food Research and Technology

JF - European Food Research and Technology

ER -

Application of UV–Vis spectroscopy for the detection of adulteration in Mediterranean honeys

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Keywords

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