[HTML][HTML] Authentication of honey origin and harvesting year based on Raman spectroscopy and chemometrics

M David, DA Magdas - Talanta Open, 2024 - Elsevier
The false declaration of honey authenticity requires the use of rapid and efficient analytical
tools in order to be detected. In this study, the use of a green, rapid and emerging approach …

Differential in vitro cytotoxic effects and metabolomic insights into raw and powdered Manuka honey through UPLC-Q-TOF-MS

I Idriss, AH Ali, A Alam, M Fernandez-Cabezudo… - Scientific reports, 2024 - nature.com
Manuka honey (MH) has garnered much attention due to its remarkable antimicrobial,
anticancer, immunomodulatory and wound-healing properties. This study compared the …

Rapid and automated method for detecting and quantifying adulterations in high-quality honey using vis-NIRs in combination with machine learning

JLP Calle, I Punta-Sánchez, AV González-de-Peredo… - Foods, 2023 - mdpi.com
Honey is one of the most adulterated foods, usually through the addition of sweeteners or
low-cost honeys. This study presents a method based on visible near infrared spectroscopy …

[HTML][HTML] Portable NIR Spectroscopy to Simultaneously Trace Honey Botanical and Geographical Origins and Detect Syrup Adulteration

M Caredda, M Ciulu, F Tilocca, I Langasco, O Núñez… - Foods, 2024 - mdpi.com
Fraudulent practices concerning honey are growing fast and involve misrepresentation of
origin and adulteration. Simple and feasible methods for honey authentication are needed to …

On the Traceability of Honey by Means of Lanthanide Distribution

F Gulino, E Calà, C Cozzani, L Vaccari, M Oddone… - Foods, 2023 - mdpi.com
Honey is a natural food appreciated all over the world since antiquity due to its well-
recognised beneficial properties. However, it is also considered among the most …

Spectral non-destructive inspection of pigments via multivariate analysis

G Qin, S Wu, X Hou, H Wang, H Liu, Z Jia - Microchemical Journal, 2023 - Elsevier
The inspection and identification of pigments is a critical task in forensic identification.
Previously, investigators mainly analyzed them manually by comparing infrared spectra one …

[HTML][HTML] The development of honey recognition models with broad applicability based on the association of isotope and elemental content with ANNs

AR Hategan, A Dehelean, R Puscas, G Cristea… - Food Chemistry, 2024 - Elsevier
Honey adulteration represents a worldwide problem, driven by the illicit economic gain that
producers, traders, or merchants pursue. Among the falsification methods that can unfairly …

Discrimination of opium from Afghanistan and Myanmar by infrared spectroscopy coupled with machine learning methods

C Liu, XY Liu, Y Du, Z Hua - Forensic Science International, 2024 - Elsevier
Afghanistan and Myanmar are two overwhelming opium production places. In this study,
rapid and efficient methods for distinguishing opium from Afghanistan and Myanmar were …

Rapid and Automated Method for Detecting and Quantifying Adulterations in High-Quality Honey Using Vis-NIRs in Combination with Machine Learning

JL Pérez Calle, I Punta Sánchez… - 2023 - rodin.uca.es
Honey is one of the most adulterated foods, usually through the addition of sweeteners or
low-cost honeys. This study presents a method based on visible near infrared spectroscopy …

[PDF][PDF] Talanta Open

M David, DA Magdas - researchgate.net
The false declaration of honey authenticity requires the use of rapid and efficient analytical
tools in order to be detected. In this study, the use of a green, rapid and emerging approach …