Preparation and characterization of chickpea protein isolate-grape seed proanthocyanidin-konjac gum ternary complex: Focusing on structure, gel properties, stability and functional properties.

The ternary complex effectively prevents droplet aggregation, Ostwald ripening, and phase separation through its gel network, thereby demonstrating its capability in bioactive compound delivery. In this work, the influence of varying chickpea protein isolate (CPI) levels on the microstructure, gel characteristics, stability and functional properties of grape seed proanthocyanidin (GSP) and konjac gum (KGM) stabilized ternary complexes was investigated. Visual appearance indicated the formation of a non-stratified ternary complex as the CPI enhanced to 3-4 %.

Raman spectroscopy coupled with chemometrics for identification of adulteration and fraud in muscle foods: a review.

Muscle foods, valued for their significant nutrient content such as high-quality protein, vitamins, and minerals, are vulnerable to adulteration and fraud, stemming from dishonest vendor practices and insufficient market oversight. Traditional analytical methods, often limited to laboratory-scale., may not effectively detect adulteration and fraud in complex applications.

Development of a novel quantitative function between spectral value and metmyoglobin content in Tan mutton.

This study was aimed to establish a quantitative function between spectral reflectance values and metmyoglobin (MetMb) content in Tan mutton during refrigeration. Near-infrared hyperspectral data combined with generalized two-dimensional correlation spectroscopy (G2D-COS) method to identify characteristic bands and investigate the sequence of chemical waveband changes. Characteristic wavebands identified by G2D-COS analysis had the best performance in predicting the content of MetMb, with a high Rp of 0.

Non-destructive assessment of the myoglobin content of Tan sheep using hyperspectral imaging.

This study aimed to develop simplified models for rapid and nondestructive monitoring myoglobin contents (DeoMb, MbO and MetMb) during refrigerated storage of Tan sheep based on a hyperspectral imaging (HSI) system in the spectral range of 400-1000 nm. Partial least squares regression (PLSR) and least-squares support vector machines (LSSVM) were applied to correlate the spectral data with the reference values of myoglobin contents measured by a traditional method. In order to simplify the LSSVM models, competitive adaptive reweighted sampling (CARS) and Interval variable iterative space shrinkage approach (iVISSA) were used to select key wavelengths.