Background: Pea sprouts are considered a healthy food. Sucrose is a key nutritional factor affecting taste and flavor. Meanwhile, selenium (Se) is an essential micronutrient that plays multiple roles in wide variety of physiological processes and improves crop quality and nutritional value. Nonetheless, the effects of the combination of sucrose and Se treatment on growth, quality, and sugar metabolism of pea sprouts have not been explored.
Results: The results revealed that sucrose at 10 mg L obviously increased fresh weight, vitamin C, soluble protein, soluble sugar, fructose, glucose, and sucrose contents. Se treatments also improved nutritional quality, but higher Se (2.5 mg L ) significantly inhibited the growth of seedlings. Interestingly, the combined application of sucrose (10 mg L ) and Se (1.25 mg L ) could effectively promote vitamin C, sucrose, and fructose contents, especially the Se content, compared with Se application alone. Additionally, there were significant differences in the regulation of sugar metabolism between Se alone and combined application of sucrose and Se. Acid invertase and neutral invertase play a pivotal role in the accumulation of soluble sugar under Se treatments alone, and acid invertase might be the key enzyme to limit sugar accumulation under combined application of sucrose and Se.
Conclusion: The moderate combined application of sucrose (10 mg L ) and Se (1.25 mg L ) more effectively regulated sugar metabolism and improved nutritional quality than Se application alone did. © 2021 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
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http://dx.doi.org/10.1002/jsfa.11626 | DOI Listing |
J Agric Food Chem
January 2025
College of Food Science and Engineering, Northwest A&F University, Yangling, 712100 Shaanxi, China.
Pumpkin extract has been shown to alleviate hyperglycemic symptoms by improving glucose metabolism disorders. However, the specific active components responsible for its hypoglycemic effects and the underlying molecular mechanisms remain unclear. In this study, db/db mice underwent a 4-week dietary intervention with two pumpkin flours (PF1 and PF2), total dietary fiber (TDF), soluble dietary fiber (SDF), and insoluble dietary fiber (IDF), with acarbose serving as a positive control.
View Article and Find Full Text PDFPhotosynthetica
January 2025
University of Reims Champagne-Ardenne, INRAE, RIBP, USC 1488, 51100 Reims, France.
High temperatures severely affect plant growth and development leading to major yield losses. These temperatures are expected to increase further due to global warming, with longer and more frequent heat waves. Rhamnolipids (RLs) are known to protect several plants against various pathogens.
View Article and Find Full Text PDFFood Chem X
January 2025
College of Horticulture, Hebei Agricultural University, Baoding 071001, China.
Few studies have explored the impact of blue light-emitting diode (BL) irradiation combined with different storage temperatures on antioxidant defense and cell wall metabolic activities related to the quality deterioration of postharvest strawberries. This study investigates the effects of BL exposure as a non-chemical preservation strategy to improve the postharvest quality of strawberries stored at 22 °C and 8 °C. Over a 10-day storage period, BL irradiation significantly reduced respiratory and ethylene production rates, while preserving fruit firmness and increasing the contents of soluble sugar and total phenol at both temperatures.
View Article and Find Full Text PDFDiabetes Metab Res Rev
January 2025
Division of Research, Kaiser Permanente Northern California, Pleasanton, California, USA.
Aims: Gestational diabetes mellitus (GDM) poses a significant risk for developing type 2 diabetes mellitus (T2D) and exhibits heterogeneity. However, understanding the link between different types of post-GDM individuals without diabetes and their progression to T2D is crucial to advance personalised medicine approaches.
Materials And Methods: We employed a discovery-based unsupervised machine learning clustering method to generate clustering models for analysing metabolomics, clinical, and biochemical datasets.
J Diabetes Sci Technol
January 2025
Madras Diabetes Research Foundation, Chennai, India.
Introduction: mHealth technology has the potential to deliver personalized health care; however, data on cardiometabolic risk factors are limited. This study aims to assess the effectiveness of mobile health applications (apps) on cardiometabolic risk factor reduction in adults aged 25 to 60 years in urban and rural India.
Methods: The study design was a pilot randomized controlled trial conducted in Tamil Nadu, India.
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