JOURNAL ARTICLE

Camellia Sinensis flavonoids potential to Combat Ovarian Cancer.

  • Published In: Allelopathy Journal, 2024, v. 61, n. 1. P. 97 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Singh, Ayushi; Mishra, Rakhi; Mazumder, Avijit; Tiwari, Prashant 3 of 3

Abstract

Nowadays, Camellia sinensis (L.) O. Kuntze is used as a health drink as well as a medication worldwide. Quercetin, kaempferol, and myricetin are different flavonoids present in it. Therefore, it was decided to extract and isolate the flavonoid content of Camellia sinensis with an evaluation of their anticancer activity. In the methodology, the extraction of the dried leaves was performed with the help of the Soxhlet apparatus. The extractives were obtained with different solvents. For the isolation of desired flavonoid column chromatography was applied using solvents of different polarity. Different polarity solvents utilization helped in determining a better medium for the extraction and isolation of flavonols. The flavonol quercetin obtained from Camellia sinensis was subjected to the estimation of anticancer activity. Anticancer ability was determined on the ovarian cancer cell line by in vitro method. The results depicted that the flavonoids especially quercetin, work as a good antineoplastic agent. The outcomes revealed that naturally available anticancer agents having good potential and lesser toxicity can be obtained from easily available natural sources like green tea leaves. Thus, the work in the future may be elaborated to find new targets for quercetin. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Allelopathy Journal. 2024/01, Vol. 61, Issue 1, p97
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2024
  • ISSN:0971-4693
  • DOI:10.26651/allelo.j/2024-61-1-1472
  • Accession Number:174672477
  • Copyright Statement:Copyright of Allelopathy Journal is the property of International Allelopathy Foundation and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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