2021
DOI: 10.1002/elan.202100240
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Dual Signals Electrochemical Biosensor for Point‐of‐Care Testing of Amino Acids Enantiomers

Abstract: A highly sensitive electrochemical sensor based on both potential and current dual signals was constructed via polypyrrole‐coated chiral carbon nanotubes (L/D‐CNT@PPy) loaded with Pt nanoparticles (Pt NPs) and β‐cyclodextrin (β‐CD) hybrid. Using L/D‐CNT and β‐CD as chiral selectors, PPy and Pt NPs enhanced the conductivity and the sensors showed excellent performance for chiral recognition of tyrosine (Tyr) and tryptophan (Trp). The linear ranges of the D‐CNT@PPy@Pt NPs@β‐CD sensor were 3–30 μM (Tyr) and 19.6–… Show more

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Cited by 7 publications
(1 citation statement)
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“…A good chiral material can effectively identify enantiomers and accurately convert this identification into electrochemical signals. At present, supramolecular chiral polymers, 15,16 protein-based biomaterials, 17,18 intrinsic chiral metal nanoparticles, 19,20 chiral carbon-based composites, 21,22 composites between the above materials, 23,24 etc., have been employed for the electrochemical enantiomeric discrimination of amino acids. Chiral sensors made of these materials often suffer from low recognition efficiency, poor reproducibility and sensitivity, poorly-defined structures, complicated synthesis and characterization, and single-substrate enantiomeric identification.…”
Section: Introductionmentioning
confidence: 99%
“…A good chiral material can effectively identify enantiomers and accurately convert this identification into electrochemical signals. At present, supramolecular chiral polymers, 15,16 protein-based biomaterials, 17,18 intrinsic chiral metal nanoparticles, 19,20 chiral carbon-based composites, 21,22 composites between the above materials, 23,24 etc., have been employed for the electrochemical enantiomeric discrimination of amino acids. Chiral sensors made of these materials often suffer from low recognition efficiency, poor reproducibility and sensitivity, poorly-defined structures, complicated synthesis and characterization, and single-substrate enantiomeric identification.…”
Section: Introductionmentioning
confidence: 99%