Raman spectroscopy coupled with chemometrics for food authentication: A review

Y Xu, P Zhong, A Jiang, X Shen, X Li, Z Xu… - TrAC Trends in …, 2020 - Elsevier
In recent years, the frequent economically motivated adulteration (EMA) caused by
component displacement, illegal addition, and other problems makes the food authenticity …

Current trends and recent advances on food authenticity technologies and chemometric approaches

S Medina, R Perestrelo, P Silva, JAM Pereira… - Trends in Food Science …, 2019 - Elsevier
Background Food frauds and counterfeit products produced to obtain economic advantages
have become a growing concern over the last decade. The assessment of food safety and …

Multivariate analysis of food fraud: A review of NIR based instruments in tandem with chemometrics

HN Moghaddam, Z Tamiji, MA Lakeh… - Journal of Food …, 2022 - Elsevier
The increasing concerns toward the quality and health of food products have necessitated
accurate and precise analytical methods in order to guarantee the quality of food. It is …

Analytical methods in food additives determination: Compounds with functional applications

FCOL Martins, MA Sentanin, D De Souza - Food chemistry, 2019 - Elsevier
This work describes the 25 classes of food additives that contain about 230 compounds with
technological, sensorial and/or microbiological functionalities. These compounds are added …

[HTML][HTML] The application of spectroscopic techniques in combination with chemometrics for detection adulteration of some herbs and spices

K Kucharska-Ambrożej, J Karpinska - Microchemical Journal, 2020 - Elsevier
This review presents the application of spectroscopic methods combined with chemometric
techniques for the detection of adulterant in herbs and spices. As spectroscopic methods are …

Recent development in the application of analytical techniques for the traceability and authenticity of food of plant origin

SA Wadood, G Boli, Z Xiaowen, I Hussain… - Microchemical Journal, 2020 - Elsevier
The traceability of agro-products are very crucial as the food with know and guaranteed
origin charged a high premium; meanwhile, the authenticity of the food product is also very …

Deep learning for biospectroscopy and biospectral imaging: state-of-the-art and perspectives

H He, S Yan, D Lyu, M Xu, R Ye, P Zheng, X Lu… - 2021 - ACS Publications
With the advances in instrumentation and sampling techniques, there is an explosive growth
of data from molecular and cellular samples. The call to extract more information from the …

Adulteration quantification of cheap honey in high-quality Manuka honey by two-dimensional correlation spectroscopy combined with deep learning

X Wu, B Xu, H Luo, R Ma, Z Du, X Zhang, H Liu… - Food Control, 2023 - Elsevier
The adulteration of cheap honey in high value honey has a negative impact on consumer
health, and its detection is also a challenging task. A fast, non-invasive and cost-effective …

Molecular approaches to agri-food traceability and authentication: An updated review

V Fanelli, I Mascio, MM Miazzi, MA Savoia… - Foods, 2021 - mdpi.com
In the last decades, the demand for molecular tools for authenticating and tracing agri-food
products has significantly increased. Food safety and quality have gained an increased …

Identification and quantification of adulterated honey by Raman spectroscopy combined with convolutional neural network and chemometrics

X Wu, B Xu, R Ma, Y Niu, S Gao, H Liu… - Spectrochimica Acta Part A …, 2022 - Elsevier
In this study, Raman spectroscopy combined with convolutional neural network (CNN) and
chemometrics was used to achieve the identification and quantification of honey samples …