Literature DB >> 29689331

Combined use of isotopic fingerprint and metabolomics analysis for the authentication of saw palmetto (Serenoa repens) extracts.

Matteo Perini1, Mauro Paolini1, Federica Camin2, Giovanni Appendino3, Francesca Vitulo4, Eric De Combarieu4, Nicola Sardone4, Ernesto Marco Martinelli4, Roberto Pace5.   

Abstract

Saw palmetto (Serenoa repens, SP) is the most expensive oil source of the pharmaceutical and healthfood market, and its high cost and recurrent shortages have spurred the development of designer blends of fatty acids to mimic its phytochemical profile and fraudulently comply with the current authentication assays. To detect this adulteration, the combined use of isotopic fingerprint and omic analysis has been investigated, using Principal Component Analysis (PCA) to handle the complex databases generated by these techniques and to identify the possible source of the adulterants. Surprisingly, the presence of fatty acids of animal origin turned out to be widespread in commercial samples of saw palmetto oil.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Adulteration; Lipids; NMR; Principal component analysis; Serenoa repens; Stable isotope analysis

Mesh:

Substances:

Year:  2018        PMID: 29689331     DOI: 10.1016/j.fitote.2018.04.011

Source DB:  PubMed          Journal:  Fitoterapia        ISSN: 0367-326X            Impact factor:   2.882


  3 in total

Review 1.  Application of Metabolomics in Various Types of Diabetes.

Authors:  Fangqin Wu; Pengfei Liang
Journal:  Diabetes Metab Syndr Obes       Date:  2022-07-13       Impact factor: 3.249

Review 2.  Cryptic Epoxytiglianes from the Kernels of the Blushwood Tree (Fontainea picrosperma).

Authors:  Giuseppina Chianese; Hawraz Ibrahim M Amin; Chiara Maioli; Paul Reddell; Peter Parsons; Jason Cullen; Jenny Johns; Herlina Handoko; Glen Boyle; Giovanni Appendino; Orazio Taglialatela-Scafati; Simone Gaeta
Journal:  J Nat Prod       Date:  2022-08-16       Impact factor: 4.803

3.  Chemical Analysis Combined with Multivariate Statistical Methods to Determine the Geographical Origin of Milk from Four Regions in China.

Authors:  Ruting Zhao; Meicheng Su; Yan Zhao; Gang Chen; Ailiang Chen; Shuming Yang
Journal:  Foods       Date:  2021-05-18
  3 in total

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