Quality Differences in Frozen Mackerel According to Thawing Method: Potential Classification via Hyperspectral Imaging.

Seafood quality preservation remains a critical focus in the food industry, particularly as the freeze-thaw process significantly impacts the freshness and safety of aquatic products. This study investigated quality changes in frozen mackerel subjected to two thawing methods, room temperature (RT) and running water (WT), and assessed the potential of hyperspectral imaging (HSI) for classifying these methods. After thawing, mackerel samples were stored at 5 °C for 21 days, with physicochemical, textural, and spectroscopic analyses tracking quality changes and supporting the development of a spectroscopic classification model.

Non-destructive assessment of chilling injury in red pepper powder using short-wave-infrared and XGBoost algorithm.

This study aimed to evaluate red pepper powder quality by the extent of chilling injury and develop a method for detecting chilling injury-affected pepper powder. Pepper powder produced from chilling injury-affected pepper fruits exhibited increased bitter amino acids, microbial counts, and biogenic amines and decreased sweetness index and organic acid levels. These quality deteriorations indicate the need to detect chilling injury in pepper powders.

Prediction and Visualization of Total Volatile Basic Nitrogen in Yellow Croaker () Using Shortwave Infrared Hyperspectral Imaging.

In the present investigation, we have devised a hyperspectral imaging (HSI) apparatus to assess the chemical characteristics and freshness of the yellow croaker () throughout its storage period. This system operates within the shortwave infrared spectrum, specifically ranging from 900 to 1700 nm. A variety of spectral pre-processing techniques, including standard normal variate (SNV), multiple scatter correction, and Savitzky-Golay (SG) derivatives, were employed to augment the predictive accuracy of total volatile basic nitrogen (TVB-N)-which serves as a critical freshness parameter.

Innovative strategies for protein content determination in dried laver ( spp.): Evaluation of preprocessing methods and machine learning algorithms through short-wave infrared imaging.

In this study, we explored the application of Short-Wave Infrared (SWIR) hyperspectral imaging combined with Competitive Adaptive Reweighted Sampling (CARS) and advanced regression models for the non-destructive assessment of protein content in dried laver. Utilizing a spectral range of 900-1700 nm, we aimed to refine the quality control process by selecting informative wavelengths through CARS and applying various preprocessing techniques (standard normal variate [SNV], Savitzky-Golay filtering [SG], Orthogonal Signal Correction [OSC], and StandardScaler [SS]) to enhance the model's accuracy. The SNV-OSC-StandardScaler- Support vector regression (SVR) model trained on CARS-selected wavelengths significantly outperformed the other configurations, achieving a prediction determination coefficient (Rp) of 0.

Comparative H NMR-Based Metabolomics of Traditional Landrace and Disease-Resistant Chili Peppers ( L.).

Chili peppers ( L.) are economically valuable crops belonging to the Solanaceae family and are popular worldwide because of their unique spiciness and flavor. In this study, differences in the metabolomes of landrace (Subicho) and disease-resistant pepper cultivars (Bulkala and Kaltanbaksa) widely grown in Korea are investigated using a H NMR-based metabolomics approach.

Metabolomic understanding of pod removal effect in soybean plants and potential association with their health benefit.

Since natural materials, such as phytochemicals in plants, are increasingly being used for foods and skincare due to their beneficial functions, it is important for developing the cultivation practices to increase the contents of phytochemicals. We here explored metabolite perturbations in the leaves of soybean plants when their pods were removed during growth through H NMR-based metabolomics approach. There were obvious metabolic differences in the leaves between normal and pod-removed soybean plants.

Metabotyping of different soybean genotypes and distinct metabolism in their seeds and leaves.

The metabolome of three soybean genotypes, Glycine max Hwangkeum (elite or domesticated cultivar), Glycine max Napjakong (landrace or semi-wild cultivar) and Glycine soja Dolkong (wild cultivar), were characterized in seeds and leaves using a H NMR-based metabolomics approach. Expression of primary and secondary metabolites were different in seeds and leaves as well as amongst soybean genotypes. Different kaempferol glycosides were observed in the leaves but not in the seeds, and quercetin derivatives were found only in G.

Metabolomics approach for understanding geographical dependence of soybean leaf metabolome.

The soybean plant (Glycine max) is widely used as an ingredient in various foods, nutraceuticals and cosmetics, due to their diverse bioactive compounds. Their metabolic compositions are likely affected by environmental conditions during growth. To investigate the influence of different environmental conditions on the metabolite composition of soybean leaves, we cultivated soybean (G.

Distinctive Metabolism of Flavonoid between Cultivated and Semiwild Soybean Unveiled through Metabolomics Approach.

Soybeans are an important crop for agriculture and food, resulting in an increase in the range of its application. Recently, soybean leaves have been used not only for food products but also in the beauty industry. To provide useful and global metabolite information on the development of soy-based products, we investigated the metabolic evolution and cultivar-dependent metabolite variation in the leaves of cultivated (Glycine max) and semiwild (G.