Q2 2024

Evaluation of Proximate Composition, Multielement, and Bioactive Phenolics Contents of Different Coix Seed Varieties using Multivariate Analysis Techniques

Izzah Hayati Yahya · Hazrulrizawati Abd Hamid · Ade Chandra Iwansyah
10.35516/jjps.v17i3.2302 403 المشاهدات 2 الاقتباسات
2
الاقتباسات
403
المشاهدات
الملخص

Coix lacryma-jobi L. is a plant that serves as a source of food, medicine, cosmetics, and forage in Asian countries. Due to the distinct geographic environments, Coix seed germplasm resources are extremely diverse. In this study, we evaluated the proximate composition, multi-elemental content by ICP-OES, and phenolic bioactives by UPLC-QTOF/MS of five varieties of Coix seeds from different Asian countries, including China, Thailand, Indonesia, and Malaysia. Principal component analysis (PCA) and hierarchical clustering analysis (HCA) were used to classify the different varieties of Coix seeds. The C. lacryma-jobi var. ma-yuen seeds from Origin 1 (China) and Origin 2 (Thailand) contained high levels of energy, total fat, and calcium, while C. lacryma-jobi var. agrotis (Indonesia) and C. lacryma-jobi var. lacryma-jobi (Malaysia) had high levels of crude fiber and carbohydrates. Twenty-three phenolic compounds were identified. Protein, carbohydrate, crude fiber, magnesium, zinc, meliadanoside, and 3,4-dihydroxyphenethyl-3-O-β-D-glucopyranoside were the dominant variables and contributed the most to data variability in PCA. The HCA results were consistent with the PCA, classifying the samples into three groups: those rich in nutrients, those rich in phenolics, and those with a mixture of nutrients and phenolics. This comprehensive analysis provides valuable insights into the nutritional and bioactive composition of Coix seed varieties, with potential applications in nutrition, food science, and pharmaceuticals.

الاستشهاد بهذا المقال (APA)
Izzah, H. Y., Hazrulrizawati, A. H., Ade, C. I. (2024). Evaluation of Proximate Composition, Multielement, and Bioactive Phenolics Contents of Different Coix Seed Varieties using Multivariate Analysis Techniques. Jordan Journal of Pharmaceutical Sciences. https://doi.org/10.35516/jjps.v17i3.2302
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الوصول
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الرقم الدولي ISSN 1995-7157
الربعية Q2
درجة المؤشر القياس العربي 87
التخصص Medicine & Health Sciences
الناشر University of Jordan
الدولة 🇯🇴 Jordan
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المؤلفون
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السنة 2024
اللغة English
أُضيف في 24 Jul 2026