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 …

Supervised pattern recognition in food analysis

LA Berrueta, RM Alonso-Salces, K Héberger - Journal of chromatography A, 2007 - Elsevier
Data analysis has become a fundamental task in analytical chemistry due to the great
quantity of analytical information provided by modern analytical instruments. Supervised …

Near infrared spectroscopy for on/in-line monitoring of quality in foods and beverages: A review

H Huang, H Yu, H Xu, Y Ying - Journal of food engineering, 2008 - Elsevier
Over the past 30 years, on/in-line near infrared (NIR) spectroscopy has proved to be one of
the most efficient and advanced tools for continuous monitoring and controlling of process …

Quantification of glucose, fructose and sucrose in bayberry juice by NIR and PLS

L Xie, X Ye, D Liu, Y Ying - Food Chemistry, 2009 - Elsevier
Bayberry plays an important role in the nutrition and is a very important fruit-product. It has a
high economic and officinal value. In this study, glucose, fructose and sucrose in bayberry …

Near-infrared spectroscopy with chemometrics for identification and quantification of adulteration in high-quality stingless bee honey

ME Raypah, LJ Zhi, LZ Loon, AF Omar - Chemometrics and Intelligent …, 2022 - Elsevier
This study presents a simple, rapid, and non-destructive approach of combining near-
infrared spectroscopy (NIRS) with chemometrics for the evaluation of adulteration levels in …

A new application of NIR spectroscopy to describe and predict purees quality from the non-destructive apple measurements

W Lan, B Jaillais, A Leca, CMGC Renard, S Bureau - Food chemistry, 2020 - Elsevier
The potential of NIRS was investigated on both apples and purees to (i) examine factors
involving quality variability (variety, agricultural practice, cold storage, puree mechanical …

Calculation of the reliability of classification in discriminant partial least-squares binary classification

NF Pérez, J Ferré, R Boqué - Chemometrics and Intelligent Laboratory …, 2009 - Elsevier
A classification decision must include the degree of confidence in that decision. We have
modified the binary classification method Discriminant Partial Least Squares (DPLS) to …

Detection of adulterations in fruit juices using machine learning methods over FT-IR spectroscopic data

JLP Calle, M Ferreiro-González, A Ruiz-Rodríguez… - Agronomy, 2022 - mdpi.com
Fruit juices are one of the most adulterated beverages, usually because of the addition of
water, sugars, or less expensive fruit juices. This study presents a method based on Fourier …

A new honey adulteration detection approach using hyperspectral imaging and machine learning

T Phillips, W Abdulla - European Food Research and Technology, 2023 - Springer
This paper develops a new approach to fraud detection in honey. Specifically, we examine
adulterating honey with sugar and use hyperspectral imaging and machine learning …

Rapidly detecting fennel origin of the near-infrared spectroscopy based on extreme learning machine

E Zuo, L Sun, J Yan, C Chen, C Chen, X Lv - Scientific reports, 2022 - nature.com
Fennel contains many antioxidant and antibacterial substances, and it has very important
applications in food flavoring and other fields. The kinds and contents of chemical …