Array‐Based Discrimination of Phenolic Acids in Water at Near‐Neutral pH with Chromogenic and Fluorescent Cyclodextrin‐Based Supramolecular Sensors. Issue 1 (22nd September 2022)
- Record Type:
- Journal Article
- Title:
- Array‐Based Discrimination of Phenolic Acids in Water at Near‐Neutral pH with Chromogenic and Fluorescent Cyclodextrin‐Based Supramolecular Sensors. Issue 1 (22nd September 2022)
- Main Title:
- Array‐Based Discrimination of Phenolic Acids in Water at Near‐Neutral pH with Chromogenic and Fluorescent Cyclodextrin‐Based Supramolecular Sensors
- Authors:
- Yao, Xiyuan
Bonizzoni, Marco - Abstract:
- Abstract: Phenolic acids are a class of poorly water‐soluble organic compounds with antioxidant properties that contain a carboxylic acid and a phenol group, common in plants. We used hydroxypropyl‐β‐cyclodextrin (HP‐β‐CD) as a supramolecular host to sense phenolic acids in water near physiological pH. The analytes' complexation was monitored through changes in the optical absorption and emission properties of a series of six organic dyes, acting as indicators in a displacement assay, that were selected from screening a panel of 17 candidates. Binding constants between these dyes and the HP‐β‐CD were in the 10 2 –10 4 range. We showed that the nuanced differences in the dyes' optical signatures associated with this displacement process, when analyzed and summarized using multivariate analysis algorithms such as principal component analysis (PCA), can be used to successfully discriminate among six phenolic acids, and to identify six unknown samples of such acids, down to a 0.02 mM concentration. Abstract : Discrimination of phenolic acids, plant‐derived hydrophobic antioxidants containing a carboxylate and a phenol, was achieved in neutral water using hydroxypropyl‐β‐cyclodextrin and six chromogenic and fluorogenic organic dyes. The multivariate spectroscopic data was summarized through principal component analysis (PCA) to discriminate among six structurally similar phenolic acids in unknown aqueous samples, down to 0.02 mM.
- Is Part Of:
- Analysis & Sensing. Volume 3:Issue 1(2023)
- Journal:
- Analysis & Sensing
- Issue:
- Volume 3:Issue 1(2023)
- Issue Display:
- Volume 3, Issue 1 (2023)
- Year:
- 2023
- Volume:
- 3
- Issue:
- 1
- Issue Sort Value:
- 2023-0003-0001-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2022-09-22
- Subjects:
- cyclodextrins -- indicator displacement assays -- pattern recognition -- phenolic acids -- principal component analysis
Chemistry, Analytic -- Periodicals
Analytical biochemistry -- Periodicals
543 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
https://chemistry-europe.onlinelibrary.wiley.com/journal/26292742 ↗ - DOI:
- 10.1002/anse.202200057 ↗
- Languages:
- English
- ISSNs:
- 2629-2742
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0892.170500
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25058.xml