A high performance thin layer chromatography (HPTLC) method for the quality assessment of citronella oil: application in commercial sample analysis.

Clicks: 186
ID: 277083
2023
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #68 of 83 articles by views in Natural product research

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Citronella oil, extracted from species ( and ) is a commercially valuable essential oil used in personal-care products and insect repellents. Routine analysis in gas chromatography is incapable of detecting high-boiling adulterants therein. In this study, an HPTLC technique was developed for the absolute quantification of citronellal (characteristic chemical marker) and triglyceride (main constituent of vegetable oil adulterant) in citronella oil for its quality assessment. It was validated in terms of specificity, linearity, sensitivity, accuracy and precision. Further, the developed method was employed to quantify citronellal and triglyceride in twenty commercial samples. The results showed a wide variation in citronellal content (trace to 30.65% ) and could differentiate its two chemotypes. Also, it revealed the possibility of vegetable oil adulteration through the detection and quantification of triglyceride in selected samples. It can be a simple and rapid technique for the quality control of citronella oil.
Reference Key
lahon2023anatural Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Lahon, Doulat;Bora, Pranjit Kumar;Sarmah, Jyotish;Bhuyan, Mantu;Haldar, Saikat;
Journal Natural product research
Year 2023
DOI
10.1080/14786419.2023.2257355
URL
Keywords
Essential oil Gas chromatography method development quality control marker aromatic crop

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.