Royal jelly fatty acids bioprofiling using TLC-MS and digital image analysis coupled with chemometrics and non-parametric regression for discovering efficient biomarkers against melanoma-Reference-Cited by-同舟云学术

Royal jelly fatty acids bioprofiling using TLC-MS and digital image analysis coupled with chemometrics and non-parametric regression for discovering efficient biomarkers against melanoma

Published:2021 Issue:31 Volume:11 Page:18717-18728
ISSN:2046-2069
Container-title:RSC Advances
language:en
Short-container-title:RSC Adv.

Author:

Ibrahim Reham S.¹²³⁴⁵^ORCID,El-Banna Alaa A.¹²³⁴⁵

Affiliation:

1. Department of Pharmacognosy

2. Faculty of Pharmacy

3. Alexandria University

4. Alexandria

5. Egypt

Abstract

Untargeted and targeted fatty acid bioprofiling of different royal jelly commercial and pharmaceutical products based on HPTLC-MS-image analysis and melanoma cytotoxic activity with chemometric analysis was applied to discover efficient biomarkers.

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2021/RA/D1RA00580D

Reference38 articles.

1. Contribution of Lipids in Honeybee (Apis mellifera) Royal Jelly to Health

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3. Royal Jelly and Its Components Promote Healthy Aging and Longevity: From Animal Models to Humans

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