Potential antioxidant compounds in Mallotus species fingerprints. Part II: Fingerprint alignment, data analysis and peak identification
Saved in:
| Title: | Potential antioxidant compounds in Mallotus species fingerprints. Part II: Fingerprint alignment, data analysis and peak identification |
|---|---|
| Authors: | Tistaert, C, Dejaegher, Bieke, Chataigné, Gabrielle, Rivière, C., Hoai, Nguyen NN, Chau Van, Minh, Quetin-Leclercq, Joëlle, Vander Heyden, Yvan |
| Contributors: | Analytical Chemistry and Pharmaceutical Technology |
| Source: | Analytica Chimica Acta. 721:35-43 |
| Publisher Information: | Elsevier BV, 2012. |
| Publication Year: | 2012 |
| Subject Terms: | 0301 basic medicine, Chromatography, Principal Component Analysis, Antioxidants -- chemistry, Tea, Sciences bio-médicales et agricoles, Mallotus Plant -- chemistry, Traditional, 01 natural sciences, Antioxidants, Mass Spectrometry, 0104 chemical sciences, 3. Good health, 03 medical and health sciences, Tea -- chemistry, Mallotus Plant, High Pressure Liquid, Medicine, Medicine, Traditional, Chromatography, High Pressure Liquid |
| Description: | Some Mallotus species are commonly used as traditional medicine (TM) ingredients in Vietnam and China, but only a few are studied for their activities. In Part I, high-performance liquid chromatography (HPLC) fingerprints of 39 Mallotus samples (17 species) were developed and, because of the complexity of and the large differences between the samples, it was chosen to analyse the unaligned fingerprints. The peaks, potentially responsible for the antioxidant activity in given Mallotus species, were indicated by the regression coefficients from an orthogonal projections to latent structures (O-PLS) model. In the present study, an in depth discussion on the need for alignment of the Mallotus fingerprints for the indication of the potentially active compounds is made, as well as an experimental analysis and identification of the previously indicated peaks by HPLC-mass spectrometry (HPLC-MS). Additionally, to thoroughly study and discuss the alignment problem, the modelling and prediction of the antioxidant activity of green tea samples based on HPLC fingerprints were also considered. |
| Document Type: | Article |
| File Description: | 1 full-text file(s): application/pdf |
| Language: | English |
| ISSN: | 0003-2670 |
| DOI: | 10.1016/j.aca.2012.01.058 |
| Access URL: | https://pubmed.ncbi.nlm.nih.gov/22405298 https://www.sciencedirect.com/science/article/pii/S0003267012002140 https://difusion.ulb.ac.be/vufind/Record/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/191701/Details https://core.ac.uk/display/77546394 http://www.sciencedirect.com/science/article/pii/S0003267012002140 https://www.ncbi.nlm.nih.gov/pubmed/22405298 https://europepmc.org/abstract/MED/22405298 https://hdl.handle.net/20.500.14017/6fb65eb9-7abb-4646-a7b5-1f8ffe23f5e0 https://biblio.vub.ac.be/vubir/potential-antioxidant-compounds-in-mallotus-species-fingerprints-part-ii-fingerprint-alignment-data-analysis-and-peak-identification(6fb65eb9-7abb-4646-a7b5-1f8ffe23f5e0).html |
| Rights: | Elsevier TDM |
| Accession Number: | edsair.doi.dedup.....041a6c8bbd2ccf9e84c544f77fc518bf |
| Database: | OpenAIRE |
Full Text Finder 
Nájsť tento článok vo Web of Science | Abstract: | Some Mallotus species are commonly used as traditional medicine (TM) ingredients in Vietnam and China, but only a few are studied for their activities. In Part I, high-performance liquid chromatography (HPLC) fingerprints of 39 Mallotus samples (17 species) were developed and, because of the complexity of and the large differences between the samples, it was chosen to analyse the unaligned fingerprints. The peaks, potentially responsible for the antioxidant activity in given Mallotus species, were indicated by the regression coefficients from an orthogonal projections to latent structures (O-PLS) model. In the present study, an in depth discussion on the need for alignment of the Mallotus fingerprints for the indication of the potentially active compounds is made, as well as an experimental analysis and identification of the previously indicated peaks by HPLC-mass spectrometry (HPLC-MS). Additionally, to thoroughly study and discuss the alignment problem, the modelling and prediction of the antioxidant activity of green tea samples based on HPLC fingerprints were also considered. |
|---|---|
| ISSN: | 00032670 |
| DOI: | 10.1016/j.aca.2012.01.058 |