Emerging non-destructive imaging techniques for fruit damage detection: Image processing and analysis

NK Mahanti, R Pandiselvam, A Kothakota… - Trends in Food Science …, 2022 - Elsevier
Background Fruits are vulnerable to mechanical damages and physiological disorders
caused by the static and dynamic forces acting on them during transportation and abiotic …

Disease detection with molecular biomarkers: from chemistry of body fluids to nature-inspired chemical sensors

YY Broza, X Zhou, M Yuan, D Qu, Y Zheng… - Chemical …, 2019 - ACS Publications
This article aims to review nature-inspired chemical sensors for enabling fast, relatively
inexpensive, and minimally (or non-) invasive diagnostics and follow-up of the health …

Recent progress in fluorescent molecular systems for the detection of disease-related biomarkers in biofluids

RR Nair, JM An, J Kim, D Kim - Coordination Chemistry Reviews, 2023 - Elsevier
The use of biofluids as a diagnostic tool for chronic health conditions has been gaining
traction in recent years. These fluids, which can be obtained non-invasively (such as urine …

Non-destructive prediction of internal and external quality attributes of fruit with thick rind: A review

E Arendse, OA Fawole, LS Magwaza… - Journal of Food …, 2018 - Elsevier
Fruits with thick rind have been reported to interfere with the measurement of internal quality
of non-destructive near infrared spectroscopy. This review provides an overview of issues …

Recent advances in imaging techniques for bruise detection in fruits and vegetables

Z Du, X Zeng, X Li, X Ding, J Cao, W Jiang - Trends in Food Science & …, 2020 - Elsevier
Background Bruising is the most common type of mechanical damage, which is inevitable
along the postharvest chain, including harvesting, sorting, packaging and so on. It's the …

Machine learning applications to non-destructive defect detection in horticultural products

JFI Nturambirwe, UL Opara - Biosystems engineering, 2020 - Elsevier
Highlights•Defects affecting horticultural products and detection challenges are
summarised.•Machine learning's role in addressing issues of fruit defect detection is …

Quantitative detection of apple watercore and soluble solids content by near infrared transmittance spectroscopy

Z Guo, MM Wang, AA Agyekum, J Wu, Q Chen… - Journal of Food …, 2020 - Elsevier
Near-infrared (NIR) spectroscopy as an emerging analytical technique was used for the first
time to quantitatively detect the watercore degree and soluble solids content (SSC) in apple …

X-ray micro-computed tomography (μCT) for non-destructive characterisation of food microstructure

L Schoeman, P Williams, A Du Plessis… - Trends in Food Science & …, 2016 - Elsevier
Background Food microstructure can be visualised by a wide range of microscopic
techniques, however these methods are usually destructive and require sample preparation …

[HTML][HTML] Visualization and quantification of content and hydrogen bonding state of water in apple and potato cells by confocal Raman microscopy: A comparison study

D Li, Z Zhu, DW Sun - Food Chemistry, 2022 - Elsevier
Water is the most abundant component in fresh fruit and vegetables and its distribution and
hydrogen bonding state in cells has a significant influence on food processing. In the current …

Chitosan films incorporating litchi peel extract and titanium dioxide nanoparticles and their application as coatings on watercored apples

Z Liu, M Du, H Liu, K Zhang, X Xu, K Liu, J Tu… - Progress in Organic …, 2021 - Elsevier
Nano-titanium dioxide (nano-TiO 2) and litchi peel extract (LPE) were added to chitosan
(CS) matrix to develop a novel active packaging film and watercored apple coating. The …