Improvement strategies of food supply chain through novel food processing technologies during COVID-19 pandemic

B Chitrakar, M Zhang, B Bhandari - Food Control, 2021 - Elsevier
Abstract Coronavirus disease-19 (COVID-19) is a contagious disease caused by a novel
corona virus (SARS-CoV-2). No medical intervention has yet succeeded, though vaccine …

Development and perspectives of rapid detection technology in food and environment

XX Jia, S Li, DP Han, R Chen, ZY Yao… - Critical Reviews in …, 2022 - Taylor & Francis
Food safety become a hot issue currently with globalization of food trade and food supply
chains. Chemical pollution, microbial contamination and adulteration in food have attracted …

Application of LF-NMR to the characterization of camellia oil-loaded pickering emulsion fabricated by soy protein isolate

C Wang, X Wang, C Liu, C Liu - Food Hydrocolloids, 2021 - Elsevier
In this study, the camellia oil-loaded Pickering emulsion stabilized by soybean protein
isolate (SPI) was selected, and low-field nuclear magnetic resonance were adopted to …

Authentication and identification of adulterants in virgin coconut oil using ATR/FTIR in tandem with DD-SIMCA one class modeling

MDG Neves, RJ Poppi - Talanta, 2020 - Elsevier
This study evaluates the use of Fourier transform infrared spectroscopy with attenuated total
reflectance (ATR/FTIR) in tandem with data driven soft independent modeling of class …

A classification and identification model of extra virgin olive oil adulterated with other edible oils based on pigment compositions and support vector machine

CH Lu, BQ Li, Q Jing, D Pei, XY Huang - Food Chemistry, 2023 - Elsevier
Adulteration identification of extra virgin olive oil (EVOO) is a vital issue in the olive oil
industry. In this study, chromatographic fingerprint data of pigments combined with machine …

A comparative study on classification of edible vegetable oils by infrared, near infrared and fluorescence spectroscopy combined with chemometrics

L Yuan, X Meng, K Xin, Y Ju, Y Zhang, C Yin… - Spectrochimica Acta Part …, 2023 - Elsevier
Driven by economic benefits like any other foods, vegetable oil has long been plagued by
mislabeling and adulteration. Many studies have addressed the field of classification and …

Direct identification and quantitation of protein peptide powders based on multi-molecular infrared spectroscopy and multivariate data fusion

XW Lin, R Liu, S Wang, JW Yang, NP Tao… - Journal of Agricultural …, 2023 - ACS Publications
Given that protein peptide powders (PPPs) from different biological sources were inherited
with diverse healthcare functions, which aroused adulteration of PPPs. A high-throughput …

Least squares large margin distribution machine for regression

U Gupta, D Gupta - Applied Intelligence, 2021 - Springer
Better prediction ability is the main objective of any regression-based model. Large margin
Distribution Machine for Regression (LDMR) is an efficient approach where it tries to reduce …

Rapid screening for hazelnut oil and high‐oleic sunflower oil in extra virgin olive oil using low‐field nuclear magnetic resonance relaxometry and machine learning

X Hou, G Wang, X Wang, X Ge, Y Fan… - Journal of the …, 2021 - Wiley Online Library
BACKGROUND As extra virgin olive oil (EVOO) has high commercial value, it is routinely
adulterated with other oils. The present study investigated the feasibility of rapidly identifying …

A rapid screening approach for authentication of olive oil and classification of binary blends of olive oils using low-field nuclear magnetic resonance spectra and …

X Wang, G Wang, X Hou, S Nie - Food Analytical Methods, 2020 - Springer
Due to the quality differentiation and commercial concerns, rapid authentication and
addressing the adulterants in olive oil is of great importance. The feasibility of identifying …