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 …

Spice Authentication by Near-Infrared Spectroscopy: Current Advances, Limitations, and Future Perspectives

E Shawky, L Nahar, SM Nassief, SD Sarker… - Trends in Food Science …, 2024 - Elsevier
Background The global spice industry, recognized for its aromatic profiles and culinary
significance, is susceptible to issues of adulteration, mislabeling, and contamination. These …

[HTML][HTML] Identification of aged-rice adulteration based on near-infrared spectroscopy combined with partial least squares regression and characteristic wavelength …

Z Li, J Song, Y Ma, Y Yu, X He, Y Guo, J Dou, H Dong - Food Chemistry: X, 2023 - Elsevier
The long-term storage of rice will inevitably be involved in the deterioration of edible quality,
and aged rice poses a great threat to food safety and human health. The acid value can be …

Non‐destructive determination of grass pea and pea flour adulteration in chickpea flour using near‐infrared reflectance spectroscopy and chemometrics

M Bala, S Sethi, S Sharma, D Mridula… - Journal of the Science …, 2023 - Wiley Online Library
Background In order to obtain more economic gains, some food products are adulterated
with low‐cost substances, if they are toxic, they may pose public health risks. This has called …

Near-infrared spectroscopy with machine learning for classifying and quantifying nutmeg adulteration

A Sitorus, S Pambudi, W Boodnon… - Analytical …, 2024 - Taylor & Francis
Near-infrared spectroscopy (NIRS) provides broadbands, overtones, and combinations of
organic-bond vibrations and has been used to characterize agricultural and food products …

Use of an NIR MEMS spectrophotometer and visible/NIR hyperspectral imaging systems to predict quality parameters of treated ground peppercorns

CA Esquerre, EM Achata, M García-Vaquero, Z Zhang… - LWT, 2020 - Elsevier
The aim of this study was to investigate the potential of a micro-electromechanical NIR
spectrophotometer (NIR-MEMS) and visible (Vis)/NIR hyperspectral imaging (HSI) systems …

Geographical origin identification of Khao Dawk Mali 105 rice using combination of FT-NIR spectroscopy and machine learning algorithms

R Lapcharoensuk, C Moul - Spectrochimica Acta Part A: Molecular and …, 2024 - Elsevier
Abstract The mislabelled Khao Dawk Mali 105 rice coming from other geographical region
outside the Thung Kula Rong Hai region is extremely profitable and difficult to detect; to …

Combination of NIR spectroscopy and machine learning for monitoring chili sauce adulterated with ripened papaya

R Lapcharoensuk, K Danupattanin… - E3S Web of …, 2020 - e3s-conferences.org
This research aimed to study the combination of NIR spectroscopy and machine learning for
monitoring chilli sauce adulterated with papaya smoothie. The chilli sauce was produced by …

[PDF][PDF] Adulterated powdered white pepper products by tapioca flour sold in Indonesian's online market investigated by simple FTIR analytical method

A Sarifudin, E Sholichah, W Setiaboma… - Journal of Food and …, 2021 - academia.edu
Powdered pepper is very susceptible to be adulterated by flour. Adulteration of online-
marketed powdered pepper product by tapioca flour was investigated by employing the FTIR …

Low-Cost Multispectral Sensor for Detecting Adulteration of Onion Powder with Machine Learning

R Lapcharoensuk, T Lunvongsa… - … on Mechatronics and …, 2024 - ieeexplore.ieee.org
Onion powder has been frequently adulterated with cheaper materials to boost revenues for
scammers. The effective technique is necessary for the application of authentication of onion …