Ascorbic acid quantification in Benincasa hispida fruit extracted using different solvents

Fatariah, Z. and Tengku Zulkhairuazha, T. Y. and Wan Rosli, W. I. (2015) Ascorbic acid quantification in Benincasa hispida fruit extracted using different solvents. International Food Research Journal, 22 (1). pp. 208-212. ISSN 2231 7546

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    Abstract

    Ascorbic acid or vitamin C is mostly found in natural products such as fruits and vegetables. High performance liquid chromatography (HPLC) method has been developed and validated to compare the ascorbic acid content in Benincasa hispida (Bh) fruit extract with three different extraction solvents; i) 3% metaphosphoric acid, ii) 3% citric acid and iii) distilled water. The compound has been detected and quantified by the use of HPLC coupled with UV-Vis detector. The amount of ascorbic acid detected in Bh fruit extract prepared with different extraction solvents; 3% metaphosphoric acid, 3% citric acid and distilled water were 13.18, 7.91 and 9.42 mg/100g respectively. Total run time was 6 min and the retention time was 2.60 min. Calibration curve was linear with the concentration range 1.00 – 16.00 μg/ml. Limits of detection was 0.24 μg/ml, limit of quantification was 0.81 μg/ml and recovery was 93.52%. The result showed ascorbic acid content is higher in Bh fruit extract with 3% metaphosphoric acid, followed by extract with distilled water and 3% citric acid. Thus, Bh is another novel fruit/ vegetable potentially used as food ingredient as it contains a good source of ascorbic acid that can be good for one’s health.

    Item Type: Article
    Uncontrolled Keywords: HPLC Ascorbic acid Extraction solvent Metaphosphoric acid Citric acid Distilled water
    Subjects: R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
    T Technology > TX Home economics > TX341-641 Nutrition. Foods and food supply
    Divisions: Kampus Kesihatan (Health Campus) > Pusat Pengajian Sains Kesihatan (School of Health Sciences) > Article
    Zoom Profil Pakar (Expert Profile) > Professor Dr. Wan Rosli Wan Ishak (Health Sciences)
    Depositing User: Administrator Automasi
    Date Deposited: 11 Jan 2017 17:55
    Last Modified: 28 Aug 2017 13:02
    URI: http://eprints.usm.my/id/eprint/31551

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