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Makale Tam Makale Uluslararası 2025

Analyzing Quinoa Seeds: LC–MS/MS and GC–MS/MS Approaches for Identifying a Nutrient-Rich Functional Food in Alzheimer's and Diabetes Care

Furkan ÇOBAN, Hafize Yuca, BİLGE AYDIN, Murat Tosun, Abdullah Yazıcı, Songül Karakaya, Mustafa Tan, Hakan Özer, Alptuğ Atila

CHEMISTRY AND BIODIVERSITY Cilt 22 · Sayı 6 · 01.06.2025
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Özet

Quinoa is a versatile, nutrient-dense, gluten-free pseudocereal, increasingly recognized for its potential health benefits, particularly in managing diabetes mellitus and Alzheimer's disease—two conditions with growing links. Recent research on 14 quinoa genotypes explored fatty oil composition and bioactive potential of quinoa extracts. Linoleic acid was predominant fatty acid (46.60%–56.33%), whereas alanine was the most concentrated amino acid across all active extracts (192.4887–1578.0355 nmol/mL). French Vanilla hexane extract exhibited the strongest α-glucosidase inhibition (75.71%), with Santa Ana hexane extract showing the highest α-amylase inhibition (28.58%). Additionally, Titicaca hexane extract displayed notable acetylcholinesterase inhibition (22.22%), and Moqu Arochilla methanol extract had the most potent butyrylcholinesterase inhibition (47.20%). Antioxidant assays revealed that Salcedo and French Vanilla extracts had exceptional 1,1-diphenyl-2-picrylhydrazyl (DPPH) radical scavenging activity, with positive correlations found between total phenolic content and antioxidant activity (DPPH, β-carotene, FRAP). These findings emphasize quinoa's potential as a functional food, offering significant benefits for disease management.

Anahtar kelimeler

DIABETES-MELLITUS Alzheimer's disease amino acid fatty oil quinoa

Atıf için künye

ÇOBAN, F., Yuca, H., AYDIN, B., Tosun, M., Yazıcı, A., Karakaya, S., Tan, M., Özer, H., & Atila, A. (2025). Analyzing Quinoa Seeds: LC–MS/MS and GC–MS/MS Approaches for Identifying a Nutrient-Rich Functional Food in Alzheimer's and Diabetes Care. CHEMISTRY AND BIODIVERSITY, 22(6). https://doi.org/10.1002/cbdv.202401727

BibTeX
@article{coban2025-18524,
  author = {ÇOBAN, Furkan and Yuca, Hafize and AYDIN, BİLGE and Tosun, Murat and Yazıcı, Abdullah and Karakaya, Songül and Tan, Mustafa and Özer, Hakan and Atila, Alptuğ},
  title = {Analyzing Quinoa Seeds: LC–MS/MS and GC–MS/MS Approaches for Identifying a Nutrient-Rich Functional Food in Alzheimer's and Diabetes Care},
  journal = {CHEMISTRY AND BIODIVERSITY},
  year = {2025},
  volume = {22},
  number = {6},
  issn = {1612-1872},
  doi = {10.1002/cbdv.202401727},
  url = {https://akademik.atauni.edu.tr/yayinlar/18524-analyzing-quinoa-seeds-lc-msms-and-gc-msms-approaches-for-identifying-a-nutrient}
}