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

Food Chemistry, Год журнала: 2025, Номер 478, С. 143651 - 143651

Опубликована: Март 4, 2025

Язык: Английский

---

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

Food Chemistry, Год журнала: 2025, Номер 479, С. 143805 - 143805

Опубликована: Март 9, 2025

Язык: Английский

---

Promising mass spectrometry imaging: exploring microscale insights in food

Critical Reviews in Food Science and Nutrition, Год журнала: 2025, Номер unknown, С. 1 - 32

Опубликована: Янв. 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.

Язык: Английский

---

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

Food Chemistry, Год журнала: 2025, Номер unknown, С. 143081 - 143081

Опубликована: Янв. 1, 2025

Язык: Английский

---

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

LWT, Год журнала: 2025, Номер unknown, С. 117544 - 117544

Опубликована: Фев. 1, 2025

Язык: Английский

---

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

Journal of Analytical Atomic Spectrometry, Год журнала: 2025, Номер 40(3), С. 541 - 664

Опубликована: Янв. 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.

Язык: Английский

---

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

Food Chemistry, Год журнала: 2025, Номер 478, С. 143644 - 143644

Опубликована: Март 4, 2025

Язык: Английский

---

Robust DEEP heterogeneous ensemble and META-learning for honey authentication

Food Chemistry, Год журнала: 2025, Номер unknown, С. 144001 - 144001

Опубликована: Март 1, 2025

Язык: Английский

---

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

Food Chemistry, Год журнала: 2025, Номер unknown, С. 143957 - 143957

Опубликована: Март 1, 2025

Язык: Английский

---

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

Foods, Год журнала: 2025, Номер 14(7), С. 1235 - 1235

Опубликована: Апрель 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.

Язык: Английский

---