TY - JOUR
T1 - Application of UV–Vis spectroscopy for the detection of adulteration in Mediterranean honeys
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
UR - http://www.scopus.com/inward/record.url?scp=85167364953&partnerID=8YFLogxK
U2 - 10.1007/s00217-023-04347-1
DO - 10.1007/s00217-023-04347-1
M3 - Article
AN - SCOPUS:85167364953
SN - 1438-2377
SP - 3043
EP - 3053
JO - European Food Research and Technology
JF - European Food Research and Technology
ER -