Current application of advancing spectroscopy techniques in food analysis: data handling with chemometric approaches

M Kharbach, M Alaoui Mansouri, M Taabouz, H Yu - Foods, 2023 - mdpi.com
In today's era of increased food consumption, consumers have become more demanding in
terms of safety and the quality of products they consume. As a result, food authorities are …

[HTML][HTML] Application of near-infrared spectroscopy for the nondestructive analysis of wheat flour: A review

S Zhang, S Liu, L Shen, S Chen, L He, A Liu - Current Research in Food …, 2022 - Elsevier
The quality and safety of wheat flour are of public concern since they are related to the
quality of flour products and human health. Therefore, efficient and convenient analytical …

VIS/NIR hyperspectral imaging with artificial neural networks to evaluate the content of thiobarbituric acid reactive substances in beef muscle

S Park, M Yang, DG Yim, C Jo, G Kim - Journal of Food Engineering, 2023 - Elsevier
Abstract Machine learning models were developed to predict the degree of rancidity of beef
by a non-destructive method using a near infrared hyperspectral image acquisition system …

Quantitative detection of metanil yellow adulteration in chickpea flour using line-scan near-infrared hyperspectral imaging with partial least square regression and one …

D Saha, T Senthilkumar, CB Singh… - Journal of Food …, 2023 - Elsevier
Food adulteration is a serious food safety issue, and it is visually difficult to detect metanil
yellow adulteration in chickpea flour. The objective of this study was to develop a non …

Current trends in the use of thermal imagery in assessing plant stresses: A review

RAP Hernanda, H Lee, J Cho, G Kim, BK Cho… - … and Electronics in …, 2024 - Elsevier
Plants are the most important source of nutrition for humans and animals. Consequently, the
demand for food keeps increasing over time. However, plants constantly face challenges in …

[HTML][HTML] Advancements, limitations and challenges in hyperspectral imaging for comprehensive assessment of wheat quality: An up-to-date review

Y Wang, X Ou, HJ He, M Kamruzzaman - Food Chemistry: X, 2024 - Elsevier
The potential of hyperspectral imaging technology (HIT) for the determination of
physicochemical and nutritional components, evaluation of fungal/mycotoxins …

Field Application of a Vis/NIR hyperspectral imaging system for nondestructive evaluation of physicochemical properties in 'Madoka'peaches

KE Jang, G Kim, MH Shin, JG Cho, JH Jeong, SK Lee… - Plants, 2022 - mdpi.com
Extensive research has been performed on the in-field nondestructive evaluation (NDE) of
the physicochemical properties of 'Madoka'peaches, such as chromaticity (a*), soluble solids …

AI and CV based 2D-CNN algorithm: botanical authentication of Indian honey

DS Brar, AK Aggarwal, V Nanda, S Saxena… - Sustainable Food …, 2024 - pubs.rsc.org
The market and aesthetic value of honey relies on the source of nectar collected by a
honeybee from a specific flower, and the authenticity of honey based on botanical origin is of …

Wavelength and texture feature selection for hyperspectral imaging: a systematic literature review

M Rogers, J Blanc-Talon, M Urschler… - Journal of Food …, 2023 - Springer
Over the past two decades, hyperspectral imaging has become popular for non-destructive
assessment of food quality, safety, and crop monitoring. Imaging delivers spatial information …

[HTML][HTML] Rapid determination of two illegal additives in wheat flour by near-infrared spectroscopy and different key wavelength selection algorithms

S Shi, J Feng, Y Ma, C Cao, L Li, Y Jiang - LWT, 2023 - Elsevier
Rapid and accurate testing of wheat flour for illegal additives is important for maintaining
food safety. In this study, a combination of NIR spectroscopy and partial least squares …