ArticlePhysiology and molecular biology of plants : an international journal of functional plant biology2025
Physiological, biochemical, and biophysical changes in chia seeds during accelerated aging: implications for lipid composition and seed quality.
Article in Physiology and molecular biology of plants : an international journal of functional plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Investigating the protective effect of zinc oxide-gallic acid nanoparticles against depression like behavior and memory impairment in animals treated with D-galactose.Scientific reports · 2026Article
- Genetic Regulation and Breeding Application of Medium-Chain Fatty Acids Metabolism in Rice.Biology · 2025Review
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Authors and funding
6 authors.
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Abstract
Chia, an oilseed native to Mexico and Guatemala, is prized for its nutrition and versatile uses in food and industry. Ex situ conservation of chia seeds is vital, yet their high lipid content complicates long-term storage. This study investigates artificial aging's impact on chia seed quality, emphasizing oxidative stress effects on lipid composition, antioxidants, and physiological properties. Two chia genotypes -one with mixed seed colors (MN) and another exclusively white (WN)- were subjected to accelerated aging to analyze germination, growth, electrical conductivity, and biochemical and biophysical changes over time. Accelerated aging revealed stress tolerance in chia seeds but significantly impacted germination and biochemical composition. Germination decreased from 100 to 0% over 56 days, with reduced radicle and hypocotyl lengths, fewer normal seedlings, and more abnormal or dead seeds. Peroxide values rose significantly, from 1.81 to 6.50 meq.kg Graphic abstract:
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