AI Medical Compendium Journal:
Food chemistry

Showing 1 to 10 of 202 articles

Intelligent transformation of ultrasound-assisted novel solvent extraction plant active ingredients: Tools for machine learning and deep learning.

Food chemistry
Ultrasound-assisted novel solvent extraction enhances plant bioactive compound yield via cavitation, mechanical, and thermal mechanisms. However, the high designability of novel solvents, the multiple influence factors for extracting results, the com...

Structural, functional and antioxidant characteristics of enzymatic hydrolysates from Cantharellus cibarius protein.

Food chemistry
This study first explored the antioxidant capacity, structural characterization, and functional characteristics of Cantharellus cibarius Fr. protein (CCP) and its enzymatic hydrolysates (CCPHs). CCP was extracted via ultrasonic-assisted alkaline extr...

A biorefinery approach for the simultaneous obtention of essential oils, organic acids and polyphenols from citrus peels: Phytochemical characterization and bioactive potential.

Food chemistry
This investigation evaluates the valorization of citrus peels (lemon, tangerine, and orange) to recover both on-polar and polar fractions simultaneously. Citrus essential oils, abundant in limonene (74.4-33.7 %), exhibited great antioxidant activity ...

Prediction and metabolomics reveal aroma profiles of mead aged in glass bottle and oak barrels.

Food chemistry
Metabolomic analysis of volatile compounds in mead during aging in glass bottles and oak barrels revealed significant impacts on sensory characteristics. Using headspace solid-phase microextraction gas chromatography-mass spectrometry with three colu...

"Three-in-One" MIL@PDA-UiOL@AIEgens driven lateral flow immunosensor for multimodal detection of aflatoxin B.

Food chemistry
The multi-modal lateral flow immunosensor (LFIS) with integrated advantages and mutual built-in calibration ability could avoid the limitations of traditional single-signal output mode to meet the growing demands for trace contaminants. In this study...

An innovative approach for the recovery of nobiletin, hesperidin, and other phytochemicals from tangerine leaves (Citrus reticulata) by-products using a solvent mixture based on natural compounds.

Food chemistry
Citrus reticulata leaves, rich in phytochemicals, are underutilized by-products with sustainable valorization potential under Green Chemistry principles. This study developed an eco-friendly solvent combining thymol (Thy), oxalic acid (OA), and ethan...

Controlled release of caffeine from oat globulin nanocomplexes: Biocompatibility and gastrointestinal dynamics.

Food chemistry
Caffeine, a widely consumed stimulant, is known for its rapid absorption and clearance, leading to fluctuations in plasma concentration and potential gastrointestinal irritation. This study explored the interaction between oat globulin (OG) and caffe...

Quantitative analysis and visualization of chemical compositions during shrimp flesh deterioration using hyperspectral imaging: A comparative study of machine learning and deep learning models.

Food chemistry
The current work explores hyperspectral imaging (HSI) to quantitatively identify changes in TVB-N and K value during shrimp flesh deterioration. The work developed low-level data fusion (LLF) and predictive models using both machine learning methods ...

Demystifying food flavor: Flavor data interpretation through machine learning.

Food chemistry
Flavor data obtained from analytical techniques are vast and complex, which increases the difficulty of multi-factorial analysis. This study aims to provide a machine learning (ML)-based framework to interpret flavor data, exploiting four widely used...