Non‐destructive optical sensing technologies for advancing the egg industry toward Industry 4.0: A review

MW Ahmed, SJ Hossainy… - … Reviews in Food …, 2023 - Wiley Online Library
The egg is considered one of the best sources of dietary protein, and has an important role
in human growth and development. With the increase in the world's population, per capita …

Advances in Smart Food Authentication for Enhanced Safety and Quality

MA Bhat, MY Rather, P Singh, S Hassan… - Trends in Food Science & …, 2024 - Elsevier
Background Food authentication is crucial for ensuring safety, quality, and traceability in the
global food supply chain. With rising incidences of food fraud and adulteration, advanced …

Portable NIR spectroscopy and PLS based variable selection for adulteration detection in quinoa flour

Z Wang, Q Wu, M Kamruzzaman - Food Control, 2022 - Elsevier
Quinoa flour is prone to economically motivated adulteration due to its high nutritional value
and growing demand worldwide. In this study, portable near-infrared spectroscopy (NIRS) …

[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 …

[HTML][HTML] Advancing sweetpotato quality assessment with hyperspectral imaging and explainable artificial intelligence

T Ahmed, NK Wijewardane, Y Lu, DS Jones… - … and Electronics in …, 2024 - Elsevier
The quality evaluation of sweetpotatoes is of utmost importance during postharvest handling
as it significantly impacts consumer satisfaction, nutritional value, and market …

Reagent-free detection of multiple allergens in gluten-free flour using NIR spectroscopy and multivariate analysis

Q Wu, MM Oliveira, EM Achata… - Journal of Food …, 2023 - Elsevier
Detecting allergenic ingredients in food products is a major health concern for many
consumers, regulatory agencies, and the food industry. It is crucial to ensure that consumers …

[HTML][HTML] Comparative analysis of hyperspectral image reconstruction using deep learning for agricultural and biological applications

MT Ahmed, A Villordon, M Kamruzzaman - Results in Engineering, 2024 - Elsevier
Hyperspectral imaging (HSI) has become a key technology for non-invasive quality
evaluation in various fields, offering detailed insights through spatial and spectral data …

Upconversion and NIR-II luminescent rare earth nanoparticles combined with machine learning for cancer theranostics

H Liu, Z Ju, X Hui, W Li, R Lv - Nanoscale, 2024 - pubs.rsc.org
How to develop contrast agents for cancer theranostics is a meaningful and challenging
endeavor, and rare earth nanoparticles (RENPs) may provide a possible solution. In this …

Semi-Supervised Deep Learning-Based Multi-component Spectral Calibration Modeling for UV–vis and Near-Infrared Spectroscopy without Information Loss

F Cheng, C Yang, H Zhu, Y Li, L Lan… - Analytical …, 2023 - ACS Publications
Spectral analysis is an important method for characterizing and identifying chemical species.
However, quantitative spectral analysis of multiple chemical properties in the real world has …

Visible and near-infrared spectroscopic determination of sugarcane chlorophyll content using a modified wavelength selection method for multivariate calibration

P Ong, J Jian, X Li, J Yin, G Ma - … Acta Part A: Molecular and Biomolecular …, 2024 - Elsevier
Spectroscopy in the visible and near-infrared region (Vis-NIR) region has proven to be an
effective technique for quantifying the chlorophyll contents of plants, which serves as an …