A simple optoelectronic tongue discriminates amino acids
A self-assembled nine-element optoelectronic tongue consisting of a positively charged water-soluble poly(para-phenyleneethynylene) and three metal ions (Fe2+, Co2+, and Cu2+) at three different pH values (7, 10, and 13) discriminates all of the 20 natural amino acids in water. Unknown identificatio...
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| Hauptverfasser: | , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
September 12, 2017
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| In: |
Chemistry - a European journal
Year: 2017, Jahrgang: 23, Heft: 51, Pages: 12471-12474 |
| ISSN: | 1521-3765 |
| DOI: | 10.1002/chem.201702826 |
| Online-Zugang: | Verlag, Volltext: http://dx.doi.org/10.1002/chem.201702826 Verlag, Volltext: https://onlinelibrary.wiley.com/doi/abs/10.1002/chem.201702826 
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| Verfasserangaben: | Benhua Wang, Jinsong Han, Chao Ma, Markus Bender, Kai Seehafer, Andreas Herrmann, Uwe H.F. Bunz |
| Zusammenfassung: | A self-assembled nine-element optoelectronic tongue consisting of a positively charged water-soluble poly(para-phenyleneethynylene) and three metal ions (Fe2+, Co2+, and Cu2+) at three different pH values (7, 10, and 13) discriminates all of the 20 natural amino acids in water. Unknown identification was not ideal. Addition of a highly positively charged green fluorescent protein in the presence of Fe2+, Co2+, and Cu2+ increased the unknown identification to above 86 %. Linear discriminant analysis (LDA) orders the responses according to the amino acid type, that is, hydrophobic, polar, anionic, or cationic. |
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| Beschreibung: | Gesehen am 20.11.2018 |
| Beschreibung: | Online Resource |
| ISSN: | 1521-3765 |
| DOI: | 10.1002/chem.201702826 |