New research development on trans fatty acids in food: Biological effects, analytical methods, formation mechanism, and mitigating measures

Q Guo, T Li, Y Qu, M Liang, Y Ha, Y Zhang… - Progress in lipid …, 2023 - Elsevier
The trans fatty acids (TFAs) in food are mainly generated from the ruminant animals (meat
and milk) and processed oil or oil products. Excessive intake of TFAs (> 1% of total energy …

Application of artificial intelligence in food industry—a guideline

NR Mavani, JM Ali, S Othman, MA Hussain… - Food Engineering …, 2022 - Springer
Artificial intelligence (AI) has embodied the recent technology in the food industry over the
past few decades due to the rising of food demands in line with the increasing of the world …

On-line application of near infrared (NIR) spectroscopy in food production

JU Porep, DR Kammerer, R Carle - Trends in Food Science & Technology, 2015 - Elsevier
Near infrared (NIR) spectroscopy represents an emerging analytical technique, which is
enjoying increasing popularity in the food processing industry due to its low running costs …

A review of the principles and applications of near-infrared spectroscopy to characterize meat, fat, and meat products

N Prieto, O Pawluczyk, MER Dugan… - Applied …, 2017 - journals.sagepub.com
Consumer demand for quality and healthfulness has led to a higher need for quality
assurance in meat production. This requirement has increased interest in near-infrared …

Combination of spectra and texture data of hyperspectral imaging for prediction and visualization of palmitic acid and oleic acid contents in lamb meat

C Wang, S Wang, X He, L Wu, Y Li, J Guo - Meat Science, 2020 - Elsevier
The feasibility of combining spectral and textural information from hyperspectral imaging to
improve the prediction of the C16: 0 and C18: 1 n9 contents for lamb was explored. 29 and …

Developments and challenges in online NIR spectroscopy for meat processing

Y Dixit, MP Casado‐Gavalda… - … Reviews in Food …, 2017 - Wiley Online Library
Meat and meat products are popular foods due to their balanced nutritional nature and their
availability in a variety of forms. In recent years, due to an increase in the consumer …

[HTML][HTML] Rapidly and accurately determining the resin and volatile content of CF/PPBESK thermoplastic prepreg by NIR spectroscopy

H Hao, S Cheng, Z Ren, L Zhang, B Wang, N Li… - Composites Part A …, 2023 - Elsevier
In this study, near infrared (NIR) spectroscopy was used to predict the resin content and
volatile content of CF/PPBESK prepreg. Mathematical models between resin and volatile …

Evaluating the performance of a miniaturized NIR spectrophotometer for predicting intramuscular fat in lamb: A comparison with benchtop and hand-held Vis-NIR …

Y Dixit, HQ Pham, CE Realini, MP Agnew, CR Craigie… - Meat science, 2020 - Elsevier
This study compares a miniaturized spectrophotometer to benchtop and hand-held Vis-NIR
instruments in the spectral range of 900–1700 nm for prediction of intramuscular fat (IMF) …

Non-destructive imaging and spectroscopic techniques for assessment of carcass and meat quality in sheep and goats: A review

S Silva, C Guedes, S Rodrigues, A Teixeira - Foods, 2020 - mdpi.com
In the last decade, there has been a significant development in rapid, non-destructive and
non-invasive techniques to evaluate carcass composition and meat quality of meat species …

An overview of near infrared spectroscopy and its applications in the detection of genetically modified organisms

SI Sohn, S Pandian, YJ Oh, JLZ Zaukuu… - International Journal of …, 2021 - mdpi.com
Near-infrared spectroscopy (NIRS) has become a more popular approach for quantitative
and qualitative analysis of feeds, foods and medicine in conjunction with an arsenal of …