Cited by Integrating AI and advanced spectroscopic techniques for precision food safety and quality control

Comprehensive lipidomics and flavoromics reveals the accelerated oxidation mechanism of fish oil from silver carp (Hypophthalmichthys molitrix) viscera during heating DOI

Jinlin Li, Bai Jian,

Yuan Liping

et al.

Food Chemistry, Journal Year: 2025, Volume and Issue: 478, P. 143651 - 143651

Published: March 4, 2025

Language: Английский

Citations

Low temperature, high salinity depuration enhances Pacific oyster (Crassostrea gigas) lipid nutrition during anhydrous living-preservation: Lipidomic insights based on RPLC–Q-TOF-MS/MS DOI

Xinyu Cao,

Yu Song,

Xiaowei Fan

et al.

Food Chemistry, Journal Year: 2025, Volume and Issue: 479, P. 143805 - 143805

Published: March 9, 2025

Language: Английский

Citations

Promising mass spectrometry imaging: exploring microscale insights in food DOI

Xinyu Cao,

Peixu Cong,

Yu Song

et al.

Critical Reviews in Food Science and Nutrition, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 32

Published: Jan. 16, 2025

This review focused on mass spectrometry imaging (MSI), a powerful tool in food analysis, covering its ion source schemes and procedures their applications quality, safety, nutrition to provide detailed insights into these aspects. The presented introduction both commonly used emerging ionization sources, including nanoparticle laser desorption/ionization (NPs-LDI), air flow-assisted (AFAI), desorption with through-hole alumina membrane (DIUTHAME), plasma-assisted (PALDI), low-temperature plasma (LTP). In the MSI process, particular emphasis was placed quantitative (QMSI) super-resolution algorithms. These two aspects synergistically enhanced MSI's analytical capabilities: QMSI enabled accurate relative absolute quantification, providing reliable data for composition while algorithms improved molecular spatial resolution, facilitating biomarker trace substance detection. outperformed conventional methods comprehensively exploring functional factors, discovery, monitoring processing/storage effects by discerning species distributions. However, challenges such as immature techniques, complex processing, non-standardized instruments, high costs existed. Future trends instrument enhancement, multispectral integration, analysis improvement were expected deepen our understanding of chemistry highlighting revolutionary potential research.

Language: Английский

Citations

Lipidomic profiling reveals the protective mechanism of nitrogen-controlled atmosphere on brown rice quality during storage DOI

Xue Dong,

Jin Shao,

Xueyou Wu

et al.

Food Chemistry, Journal Year: 2025, Volume and Issue: unknown, P. 143081 - 143081

Published: Jan. 1, 2025

Language: Английский

Citations

Spatial distribution of alkaloids in Fritillaria Bulbus using UPLC-Q-Exactive Orbitrap MS/MS and desorption electrospray MS imaging DOI

Xichuang Guo,

Keyun Cheng, Chenxin Wang

et al.

LWT, Journal Year: 2025, Volume and Issue: unknown, P. 117544 - 117544

Published: Feb. 1, 2025

Language: Английский

Citations

Atomic spectrometry update: review of advances in the analysis of clinical and biological materials, foods and beverages DOI

Marina Patriarca, Nicola Barlow, Alan Cross

et al.

Journal of Analytical Atomic Spectrometry, Journal Year: 2025, Volume and Issue: 40(3), P. 541 - 664

Published: Jan. 1, 2025

This review discusses developments in elemental mass spectrometry, atomic absorption, emission and fluorescence, XRF LIBS, as applied to the analysis of specimens clinical interest, foods beverages. Sample preparation procedures quality assurance are also included.

Language: Английский

Citations

Coupling proteomics and lipidomics for insights into regulation of oat (Avena sativa) grain lipid synthesis DOI

Wai C. D. Lau,

Leigh Donnellan,

John C. Harris

et al.

Food Chemistry, Journal Year: 2025, Volume and Issue: 478, P. 143644 - 143644

Published: March 4, 2025

Language: Английский

Citations

Robust DEEP heterogeneous ensemble and META-learning for honey authentication DOI

Lucas Almir Cavalcante Minho,

Jaquelide de Lima Conceição,

Orlando Maia Barboza

et al.

Food Chemistry, Journal Year: 2025, Volume and Issue: unknown, P. 144001 - 144001

Published: March 1, 2025

Language: Английский

Citations

Mechanisms of deodorizing rapeseed oil with ethanol steam at a low temperature: A focus on free fatty acids, tocopherols, and Phytosterols DOI

Yu Gao, Yiyang Dong, Fei Liu

et al.

Food Chemistry, Journal Year: 2025, Volume and Issue: unknown, P. 143957 - 143957

Published: March 1, 2025

Language: Английский

Citations

Authentication of Edible Oil by Real-Time One Class Classification Modeling DOI

Min Liu, Xueyan Wang, Yong Yang

et al.

Foods, Journal Year: 2025, Volume and Issue: 14(7), P. 1235 - 1235

Published: April 1, 2025

Adulteration detection or authentication is considered a type of one-class classification (OCC) in chemometrics. An effective OCC model requires representative samples. However, it challenging to collect samples from all over the world. Moreover, also very hard evaluate representativeness collected In this study, we blazed new trail propose an method identify adulterated edible oils without building prediction beforehand. developed by real-time modeling, and population analysis was designed market The underlying philosophy that sum absolute centered residual (ACR) good built only authentic higher than bad detail, large number models were selecting partial out inspected using Monte Carlo sampling. Then, involved test these identified. Taking avocado as example, result, 6 40 identified then validated chemical markers. successful identification with soybean oil, corn rapeseed oil effectiveness our method. proposed provides novel idea for well other high-value food adulteration detection.

Language: Английский

Citations