Hyperspectral imaging technique for evaluating food quality and safety during various processes: A review of recent applications

Y Liu, H Pu, DW Sun - Trends in food science & technology, 2017 - Elsevier
Background The quality of products depends on their processing. Effective way of
monitoring and controlling these processes will ensure the quality and safety of products …

Bruise damage measurement and analysis of fresh horticultural produce—A review

UL Opara, PB Pathare - Postharvest Biology and Technology, 2014 - Elsevier
Bruising is the most common type of mechanical damage affecting fresh horticultural
produce, and reduces quality to the consumer and income to fruit and vegetable industries …

Principles and applications of hyperspectral imaging in quality evaluation of agro-food products: a review

G Elmasry, M Kamruzzaman, DW Sun… - Critical reviews in food …, 2012 - Taylor & Francis
The requirements of reliability, expeditiousness, accuracy, consistency, and simplicity for
quality assessment of food products encouraged the development of non-destructive …

Rapid and non-destructive detection of chicken adulteration in minced beef using visible near-infrared hyperspectral imaging and machine learning

M Kamruzzaman, Y Makino, S Oshita - Journal of Food Engineering, 2016 - Elsevier
The main objective of this study was to evaluate the potential of visible near-infrared (VNIR)
hyperspectral imaging (400–1000 nm) and machine learning to detect adulteration in fresh …

Non-destructive prediction and visualization of chemical composition in lamb meat using NIR hyperspectral imaging and multivariate regression

M Kamruzzaman, G ElMasry, DW Sun… - Innovative Food Science & …, 2012 - Elsevier
The main goal of this study was to investigate the potential of hyperspectral imaging in the
near-infrared (NIR) range of 900–1700nm for non-destructive prediction of chemical …

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) …

Prediction of some quality attributes of lamb meat using near-infrared hyperspectral imaging and multivariate analysis

M Kamruzzaman, G ElMasry, DW Sun, P Allen - Analytica Chimica Acta, 2012 - Elsevier
The goal of this study was to explore the potential of near-infrared (NIR) hyperspectral
imaging in combination with multivariate analysis for the prediction of some quality attributes …

Development of simplified models for nondestructive hyperspectral imaging monitoring of TVB-N contents in cured meat during drying process

Q Yang, DW Sun, W Cheng - Journal of food engineering, 2017 - Elsevier
This study aimed to develop simplified models for rapid and nondestructive monitoring TVB-
N contents during drying of cured meats based on a hyperspectral imaging system (HSI) in …

Fast detection and visualization of minced lamb meat adulteration using NIR hyperspectral imaging and multivariate image analysis

M Kamruzzaman, DW Sun, G ElMasry, P Allen - Talanta, 2013 - Elsevier
Many studies have been carried out in developing non-destructive technologies for
predicting meat adulteration, but there is still no endeavor for non-destructive detection and …

Vis–NIR hyperspectral imaging in visualizing moisture distribution of mango slices during microwave-vacuum drying

YY Pu, DW Sun - Food Chemistry, 2015 - Elsevier
Mango slices were dried by microwave-vacuum drying using a domestic microwave oven
equipped with a vacuum desiccator inside. Two lab-scale hyperspectral imaging (HSI) …