Matches in SemOpenAlex for { <https://semopenalex.org/work/W3016035906> ?p ?o ?g. }
- W3016035906 endingPage "738" @default.
- W3016035906 startingPage "722" @default.
- W3016035906 abstract "Abstract Introduction The phytochemical composition of plant material governs the bioactivity and potential health benefits as well as the outcomes and reproducibility of laboratory studies and clinical trials. Objective The objective of this work was to develop an efficient method for the in‐depth characterisation of plant extracts and quantification of marker compounds that can be potentially used for subsequent product integrity studies. Centella asiatica (L.) Urb., an Ayurvedic herb with potential applications in enhancing mental health and cognitive function, was used as a case study. Methods A quadrupole time‐of‐flight analyser in conjunction with an optimised high‐performance liquid chromatography (HPLC) separation was used for in‐depth untargeted fingerprinting and post‐acquisition precursor ion quantification to determine levels of distinct phytochemicals in various C. asiatica extracts. Results We demonstrate the utility of this workflow for the characterisation of extracts of C. asiatica . This integrated workflow allowed the identification or tentative identification of 117 compounds, chemically interconnected based on Tanimoto chemical similarity, and the accurate quantification of 24 phytochemicals commonly found in C. asiatica extracts. Conclusion We report a phytochemical analysis method combining liquid chromatography, high resolution mass spectral data acquisition, and post‐acquisition interrogation that allows chemical fingerprints of botanicals to be obtained in conjunction with accurate quantification of distinct phytochemicals. The variability in the composition of specialised metabolites across different C. asiatica accessions was substantial, demonstrating that detailed characterisation of plant extracts is a prerequisite for reproducible use in laboratory studies, clinical trials and safe consumption. The methodological approach is generally applicable to other botanical products." @default.
- W3016035906 created "2020-04-17" @default.
- W3016035906 creator A5006861638 @default.
- W3016035906 creator A5012494679 @default.
- W3016035906 creator A5015426359 @default.
- W3016035906 creator A5038973340 @default.
- W3016035906 creator A5041320799 @default.
- W3016035906 creator A5043100261 @default.
- W3016035906 creator A5047502365 @default.
- W3016035906 creator A5050626617 @default.
- W3016035906 creator A5055918448 @default.
- W3016035906 creator A5060285690 @default.
- W3016035906 creator A5066750933 @default.
- W3016035906 creator A5085009648 @default.
- W3016035906 date "2020-04-12" @default.
- W3016035906 modified "2023-10-18" @default.
- W3016035906 title "Integration of mass spectral fingerprinting analysis with precursor ion (MS1) quantification for the characterisation of botanical extracts: application to extracts of <scp> <i>Centella asiatica</i> </scp> (L.) Urban" @default.
- W3016035906 cites W1554984728 @default.
- W3016035906 cites W1611854178 @default.
- W3016035906 cites W1850593534 @default.
- W3016035906 cites W1935434993 @default.
- W3016035906 cites W1941568045 @default.
- W3016035906 cites W1965199203 @default.
- W3016035906 cites W1968764712 @default.
- W3016035906 cites W1969050684 @default.
- W3016035906 cites W1980698168 @default.
- W3016035906 cites W1985597690 @default.
- W3016035906 cites W1985978400 @default.
- W3016035906 cites W1988257704 @default.
- W3016035906 cites W1989919097 @default.
- W3016035906 cites W1994453373 @default.
- W3016035906 cites W1996977716 @default.
- W3016035906 cites W2005447117 @default.
- W3016035906 cites W2006164982 @default.
- W3016035906 cites W2006315039 @default.
- W3016035906 cites W2012789538 @default.
- W3016035906 cites W2014840131 @default.
- W3016035906 cites W2015503332 @default.
- W3016035906 cites W2021784041 @default.
- W3016035906 cites W2029814633 @default.
- W3016035906 cites W2032630856 @default.
- W3016035906 cites W2046847011 @default.
- W3016035906 cites W2051827697 @default.
- W3016035906 cites W2056798723 @default.
- W3016035906 cites W2060206712 @default.
- W3016035906 cites W2060988464 @default.
- W3016035906 cites W2064576005 @default.
- W3016035906 cites W2066886841 @default.
- W3016035906 cites W2083447663 @default.
- W3016035906 cites W2098093621 @default.
- W3016035906 cites W2110723235 @default.
- W3016035906 cites W2114688451 @default.
- W3016035906 cites W2114894518 @default.
- W3016035906 cites W2120050118 @default.
- W3016035906 cites W2124211842 @default.
- W3016035906 cites W2125933976 @default.
- W3016035906 cites W2128464104 @default.
- W3016035906 cites W2138253701 @default.
- W3016035906 cites W2145883044 @default.
- W3016035906 cites W2159430856 @default.
- W3016035906 cites W2164090829 @default.
- W3016035906 cites W2212422492 @default.
- W3016035906 cites W2412913996 @default.
- W3016035906 cites W2479356696 @default.
- W3016035906 cites W2488772739 @default.
- W3016035906 cites W2491006796 @default.
- W3016035906 cites W2572747554 @default.
- W3016035906 cites W2604080057 @default.
- W3016035906 cites W2746861211 @default.
- W3016035906 cites W2756117995 @default.
- W3016035906 cites W2767683865 @default.
- W3016035906 cites W2786394271 @default.
- W3016035906 cites W2790746446 @default.
- W3016035906 cites W2790763483 @default.
- W3016035906 cites W2909763373 @default.
- W3016035906 cites W2933713273 @default.
- W3016035906 cites W2951180849 @default.
- W3016035906 doi "https://doi.org/10.1002/pca.2936" @default.
- W3016035906 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7587007" @default.
- W3016035906 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32281154" @default.
- W3016035906 hasPublicationYear "2020" @default.
- W3016035906 type Work @default.
- W3016035906 sameAs 3016035906 @default.
- W3016035906 citedByCount "21" @default.
- W3016035906 countsByYear W30160359062020 @default.
- W3016035906 countsByYear W30160359062021 @default.
- W3016035906 countsByYear W30160359062022 @default.
- W3016035906 countsByYear W30160359062023 @default.
- W3016035906 crossrefType "journal-article" @default.
- W3016035906 hasAuthorship W3016035906A5006861638 @default.
- W3016035906 hasAuthorship W3016035906A5012494679 @default.
- W3016035906 hasAuthorship W3016035906A5015426359 @default.
- W3016035906 hasAuthorship W3016035906A5038973340 @default.
- W3016035906 hasAuthorship W3016035906A5041320799 @default.
- W3016035906 hasAuthorship W3016035906A5043100261 @default.
- W3016035906 hasAuthorship W3016035906A5047502365 @default.
- W3016035906 hasAuthorship W3016035906A5050626617 @default.
- W3016035906 hasAuthorship W3016035906A5055918448 @default.