A Simple Optoelectronic Tongue Discriminates Amino Acids. Issue 51 (16th August 2017)

• Record Type: Journal Article
• Authors: Wang, Benhua; Han, Jinsong; Ma, Chao; Bender, Markus; Seehafer, Kai; Herrmann, Andreas; Bunz, Uwe H. F.
• Is Part Of: Chemistry. Volume 23:Issue 51(2017)
• Page Start: 12471
• Page End: 12474
• Publication Date: 2017-08-16
• Subjects: amino acids -- linear discriminant analysis -- optoelectronic tongue -- poly(para-phenyleneethynylene)s -- sensors; Chemistry -- Periodicals; 540
• DOI: 10.1002/chem.201702826
• Languages: English
• ISSNs: 0947-6539

Abstract

Abstract: A self‐assembled nine‐element optoelectronic tongue consisting of a positively charged water‐soluble poly( para ‐phenyleneethynylene) and three metal ions (Fe 2+, Co 2+, and Cu 2+ ) 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 Fe 2+, Co 2+, and Cu 2+ 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. Abstract : Metals make the difference : Self‐assembled optoelectronic tongues consisting of a positively charged water‐soluble poly( para ‐phenyleneethynylene) polymer or a fluorescent protein with a supercharged tag and three metal ions (Fe 2+, Co 2+, and Cu 2+ ) at three different pH values discriminate all of the 20 natural amino acids in water (see scheme).