Shrimp count size: GC/MS-based metabolomics approach and quantitative descriptive analysis (QDA) reveal the importance of size in white leg shrimp (Litopenaeus vannamei)

Effect of Corynebacterium glutamicum Fermentation on the Volatile Flavors of the Enzymatic Hydrolysate of Soybean Protein Isolate

This study focused on improving the flavor quality of seasonings, and enzymatic hydrolysis of soybean protein isolate (SPI) seasoning via traditional technology may lead to undesirable flavors. Herein, we aimed to develop a new type of SPI seasoning through microbial fermentation to improve its flavor quality. The effect of Corynebacterium glutamicum fermentation on the flavoring compounds of seasonings in SPI enzymatic hydrolysate was examined. Sensory evaluation showed that the SPI seasoning had mainly aromatic and roasted flavor, and the response signals of S18 (aromatic compounds), S24 (alcohols and aldehydes), and S25 (esters and ketones) sensors of the electronic nose differed significantly. Overall, 91 volatile compounds were identified via gas chromatography-mass spectrometry. SPI seasonings contained a higher number of alcohols, ketones, aromatics, and heterocyclic compounds than traditional seasonings, which had stronger cheese, fatty, and roasted aromas. According to the relative odor activity value (ROAV) analysis, n-pentylpyrzine, 2,6-dimethylpyrazine, and tetramethylpyrazine are the key flavoring compounds (ROAV ≥ 1) of SPI seasoning, which may impart a unique roasted and meaty aroma. Therefore, the fermentation of SPI enzymatic hydrolysate with C. glutamicum may improve the flavor quality of its products, providing a new method for the development and production of new seasoning products.

Multidisciplinary approach combining food metabolomics and epidemiology identifies meglutol as an important bioactive metabolite in tempe, an Indonesian fermented food

This study introduces a multidisciplinary approach to investigate bioactive food metabolites often overlooked due to their low concentrations. We integrated an in-house food metabolite library (n = 494), a human metabolite library (n = 891) from epidemiological studies, and metabolite pharmacological databases to screen for food metabolites with potential bioactivity. We identified six potential metabolites, including meglutol (3-hydroxy-3-methylglutarate), an understudied low-density lipoprotein (LDL)-lowering compound. We further focused on meglutol as a case study to showcase the range of characterizations achievable with this approach. Green pea tempe was identified to contain the highest meglutol concentration (21.8 ± 4.6 mg/100 g). Furthermore, we identified a significant cross-sectional association between plasma meglutol (per 1-standard deviation) and lower LDL cholesterol in two Hispanic adult cohorts (n = 1,628) (β [standard error]: -5.5 (1.6) mg/dl, P = 0.0005). These findings highlight how multidisciplinary metabolomics can serve as a systematic tool for discovering and enhancing bioactive metabolites in food, such as meglutol, with potential applications in personalized dietary approaches for disease prevention.

Defining desired genetic gains for Pacific white shrimp (Litopenaeus vannamei) breeding objective using participatory approaches

The objective of this study was to define desired genetic gains from economically important traits of Pacific white shrimp (Litopenaeus vannamei) using participatory approaches. Two questionnaires were sent out to 100 Pacific white shrimp farmers in all five Iranian shrimp farming provinces. Questionnaire A (Q-A) includes management factors and farming environments. Moreover, in this questionnaire, farmers were asked to rank the fourth most important traits in shrimp among 10 economic traits in the list for genetic improvement. In questionnaire B (Q-B), priorities of the four traits with the highest value were obtained using pairwise comparison. The results showed that the four most important traits were white spot syndrome virus resistance (WSSV), growth rate before 4 months (GR), acute hepatopancreatic necrosis disease resistance (AHPND), and female total weight at ablation (FTW). Medians of the best individual preference values were WSSV (0.222), GR (0.173), AHPND (0.157), and FTW (0.053). Most disagreements were found between the social group preference values in the commercial products and water salinity categories. Desired genetic gains were 1.71%, 1.57%, 0.53% and 0.31% for GR, AHPND, WSSV and FTW, respectively. This study highlighted that despite environmental and management differences, participatory approaches can achieve desired genetic results for Pacific white shrimp breeding programme.

Unique metabolite profiles of Indonesian cocoa beans from different origins and their correlation with temperature

Chocolate flavors vary depending on the origin of the cocoa beans used. Differences in soil, microorganisms, and environmental factors contribute to the formation of flavor precursors in cocoa beans. During cocoa bean fermentation, environmental temperature has been shown to alter metabolite concentrations. However, the correlation between the metabolite profile of cocoa beans and the temperature of their region of origin has not been fully defined. In this study, the metabolite profiles of Indonesian cocoa beans of various origins were evaluated using gas chromatography/mass spectrometry-based analysis, and were found to differ depending on the origin of the bean. Subsequently, the correlation between metabolite profile and environmental temperature of the origin was assessed using orthogonal projection to latent structure regression (OPLS-R) analysis. The analysis revealed that seven metabolites were associated with temperature: γ-aminobutyric acid (GABA), ethanolamine, glycerol, isocitric acid + citric acid, succinic acid, malic acid, and saccharic acid. The findings of this study will be valuable to chocolate industries for the production of single-origin chocolates.

Comparative metabolomics and sensory evaluation of pineapple (Ananas comosus) reveal the importance of ripening stage compared to cultivar

The pineapple ripening stage is determined at the time of harvest and can be classified into the C0 to C4 stage based on its peel color. C1 and C4 pineapples are the most commonly exported products with high demand. Pineapple also has many cultivars with different tastes and appearances. However, there are limited studies regarding the metabolite and taste profiles of pineapple from different cultivars and ripening stages using a metabolomics approach. Therefore, the objective of this study was to investigate the metabolite and sensory profiles of pineapple from different cultivars and different ripening stages. Three cultivars of pineapple (Red Spanish, Smooth Cayenne, and Queen) and C1, C3, and C4 stages from Indonesia, Japan, the Philippines, and Taiwan, respectively, were analyzed by gas chromatography/mass spectrometry (GC/MS). The data obtained from GC/MS analysis were combined with the data obtained from sensory evaluation, which showed that sourness and firmness contributed to C1 fruits with metabolites correlated to isocitric acid+citric acid, malic acid, ascorbic acid, and quinic acid, while sweetness, juiciness, and high acceptability contributed to C4 fruits with metabolites that correlated were asparagine, serine, glycine, threonic acid, sucrose, and 5-hydroxytryptamine. GC/MS analysis using different pineapple cultivars also showed characteristic metabolites for each cultivar. Prediction of the sensory profile was performed by investigating the relative intensity of taste-related metabolites. This information can provide a basis for improving pineapple taste quality related to metabolites, depending on the cultivar and ripening stage.