| Literature DB >> 29896952 |
Benhua Wang1, Jinsong Han1, N Maximilian Bojanowski1, Markus Bender1, Chao Ma2, Kai Seehafer1, Andreas Herrmann2,3,4, Uwe H F Bunz1,5.
Abstract
Wet-chemical discrimination of amino acids is still a challenge due to their structural similarity. Here, an optimized self-assembled eight-member sensor array is reported. The optimized sensor array stems from the combination of elements of different tongues, containing poly( para-phenyleneethynylene)s (PPE) and a supercharged green fluorescent protein (GFP) variant. The responsivity of the sensor dyes (PPEs and GFP) is enhanced in elements that contain adjuvants, such as metal salts but also cucurbit[7]uril (CB[7]) and acridine orange; a suitable and robust eight element array discriminates all of the 20 natural amino acids in water at 25 mM concentration with 100% accuracy. The results group well to the amino acid type, i.e., hydrophobic, polar, and aromatic ones.Entities:
Keywords: acridine orange; amino acid; cucurbiturils; green fluorescent protein; poly(para-phenyleneethynylene)s; sensor array
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Year: 2018 PMID: 29896952 DOI: 10.1021/acssensors.8b00371
Source DB: PubMed Journal: ACS Sens ISSN: 2379-3694 Impact factor: 7.711