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 …

A step forward in food science, technology and industry using artificial intelligence

R Esmaeily, MA Razavi, SH Razavi - Trends in Food Science & Technology, 2024 - Elsevier
Background As same as the priority and importance of food for being alive for humans, its
science play also a significant role in the world. So, food science, food technology, food …

A data fusion approach on confocal Raman microspectroscopy and electronic nose for quantitative evaluation of pesticide residue in tea

A Sanaeifar, X Li, Y He, Z Huang, Z Zhan - Biosystems Engineering, 2021 - Elsevier
Highlights•The concentration of pesticide residue in tea was evaluated non-destructively.•
Electronic nose and confocal Raman microspectroscopy were used for the …

Applications of Raman spectroscopic techniques for quality and safety evaluation of milk: A review of recent developments

H He, DW Sun, H Pu, L Chen, L Lin - Critical reviews in food …, 2019 - Taylor & Francis
Milk is a complete nutrient source for humans. The quality and safety of milk are critical for
both producers and consumers, thereby the dairy industry requires rapid and nondestructive …

[HTML][HTML] Artificial intelligence-based techniques for adulteration and defect detections in food and agricultural industry: A review

S Othman, NR Mavani, MA Hussain… - Journal of Agriculture …, 2023 - Elsevier
Artificial Intelligence (AI) techniques have evolved into practical, fast and effective tools in
combination with detecting devices for quality assessment, particularly in adulteration and …

[HTML][HTML] Application of machine learning to improve dairy farm management: A systematic literature review

N Slob, C Catal, A Kassahun - Preventive veterinary medicine, 2021 - Elsevier
In recent years, several researchers and practitioners applied machine learning algorithms
in the dairy farm context and discussed several solutions to predict various variables of …

Detection methods, migration patterns, and health effects of pesticide residues in tea

S Miao, Y Wei, Y Pan, Y Wang… - … Reviews in Food Science …, 2023 - Wiley Online Library
Due to its rich health benefits and unique cultural charm, tea drinking is increasingly popular
with the public in modern society. The safety of tea is the top priority that affects the …

Green analytical chemistry applied in food analysis: alternative techniques

JAL Pallone, ET dos Santos Caramês… - Current Opinion in Food …, 2018 - Elsevier
Highlights•Vibrational spectroscopy is increasing popularity since it is a green analytical
chemistry method.•Rapid quality control assessment can be performed with vibrational …

Comparison of chemometric problems in food analysis using non-linear methods

WFC Rocha, CB Prado, N Blonder - Molecules, 2020 - mdpi.com
Food analysis is a challenging analytical problem, often addressed using sophisticated
laboratory methods that produce large data sets. Linear and non-linear multivariate methods …

The combination of vibrational spectroscopy and chemometrics for analysis of milk products adulteration

A Windarsih, A Rohman, Irnawati… - International Journal of …, 2021 - Wiley Online Library
Milk products obtained from cow, goat, buffalo, sheep, and camel as well as fermented forms
such as cheese, yogurt, kefir, and butter are in a category of the most nutritious foods due to …