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    Antioxidant Activities of different Peanut (Arachis hypogaea L.) Market Types by Spectrophotometric Techniques Combined with Chemometrics
    (Wiley-V C H Verlag Gmbh, 2024) Gidik, Betuel; Can, Zehra; Oenemli, Fadul
    Peanut is rich in oil and protein and has a large content of bioactive constituents consisting of tocopherols, phytosterols, and so on. Generally, Virginia, Spanish, Valencia and Runner market types are grown of peanut. In this study, it is aimed to determine the antioxidant activity, total phenolic content and total flavonoid content of peanuts from four different market types, for the first time, and group them with principal component analysis (PCA) and hierarchical cluster analysis (HCA). For PCA, PC1 and PC2 explained 87.655 % of the total variation and, according to the HCA of peanut samples, two main groups were determined. The total phenolic content changed 1.556 to 2.899 mg GAE/g. The lowest value have seen at Spanish merket type to determine the antioxidant activities of peanut samples were maked FRAP and DPPH assay, the lowest FRAP value (8.136 mu mol FeSO(4)7H(2)O/g sample) was seen at Valencia market type, the highest (14.004 mu mol FeSO(4)7H(2)O/g sample) was seen at Virginia market type. It was determined that the total flavonoid, total phenolic content, and antioxidant activities of the Virginia, Valencia, Spanish, and Runner market types included in the study were different from each other, and the Virginia market type showed superior characteristics compared to the others. The results obtained suggest that Virginia market type may be preferred more especially in peanut cultivation for food uses. It is thought that this study can be a source for future studies by eliminating a deficiency in the literature.
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    Antioxidant, Antimicrobial Activities and Fatty Acid Compositions of Wild Berberis spp. by Different Techniques Combined with Chemometrics (PCA and HCA)
    (Mdpi, 2021) Gidik, Betuel
    Interest in medicinal plants and fruits has increased in recent years due to people beginning to consume natural foods. This study aims to investigate the total phenolic flavonoid content, antioxidant activity, condensed tannin content, oil content, and fatty acid compositions of five local breeds of Berberis spp. from Bayburt, Turkey, and their antioxidant and antimicrobial activities. The fatty acid composition of samples was performed with gas chromatography-mass spectrometry (GC-MS), and the total fatty acid content of samples was between 6.12% and 8.60%. The main fatty acids in Berberis spp. samples were alpha-linolenic acid (32.85-37.88%) and linoleic acid (30.98-34.28%) followed by oleic acid (12.85-19.56%). Two antioxidant assays produced similar results, demonstrating that extracts of wild B. vulgaris L. had the highest ferric reducing antioxidant power (FRAP) (621.02 mu mol FeSO4.7H(2)O/g) and 1,1-diphenyl-2-picrylhydrazyl radical (DPPH) (0.10 SC50 mg/mL) values. According to principal component analysis (PCA), four components were determined. In addition, two main groups were determined according to hierarchical cluster analysis (HCA), and wild and culture of B. vulgaris L. were in different subgroups. This is the first original report about the fatty acid composition and oil content of Berberis spp. grown in Bayburt, Turkey. The obtained results indicate that B. integerrima Bunge and B. vulgaris, which have especially remarkable fatty acid content, antioxidant, and antimicrobial activity, could be potential sources for these properties in different areas of use.
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    Optimization of Phenolic Compound Extraction from Bee Products via Solvent Systems and PCA Integration
    (Springer, 2025) Birinci, Ceren; Kara, Yakup; Gidik, Betuel; Kolayli, Sevgi; Can, Zehra
    To achieve a highly selective and sensitive analysis of phenolic compounds in bee products (honey, bee bread, and propolis), a simultaneous quantification of 25 phenolic compounds was performed using high-performance liquid chromatography coupled with a diode array detector. In the study, various solvents were utilized to enhance the phenolic profile of bee products, including pH 2 and 7 ultra-pure water, diethyl ether, and ethyl acetate. These included non-liquid-liquid extraction, pH 2 with 10 mL of pure water and 20 mL of diethyl ether; pH 2 with 10 mL of pure water and 20 mL of ethyl acetate; pH 2 with 10 mL of pure water, 10 mL of diethyl ether, and 10 mL of ethyl acetate; and pH 7 with 10 mL of pure water, 10 mL of diethyl ether, and 10 mL of ethyl acetate. Additionally, the integration of phenolic compounds identified through the enrichment method was pursued using principal component analysis (PCA). The extraction yields and recovery rates of phenolic compounds can be significantly improved by combining and integrating different extraction techniques. Our results demonstrated that using different solvent combinations significantly improved both the yield and diversity of phenolic compounds extracted from the complex matrices of bee products.