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An Optimized Sensor Array Identifies All Natural Amino Acids

  • Benhua Wang
    Benhua Wang
    Organisch-Chemisches Institut, Ruprecht-Karls-Universität Heidelberg, Im Neuenheimer Feld 270, 69120 Heidelberg, Germany
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  • , 
  • Jinsong Han
    Jinsong Han
    Organisch-Chemisches Institut, Ruprecht-Karls-Universität Heidelberg, Im Neuenheimer Feld 270, 69120 Heidelberg, Germany
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  • , 
  • N. Maximilian Bojanowski
    N. Maximilian Bojanowski
    Organisch-Chemisches Institut, Ruprecht-Karls-Universität Heidelberg, Im Neuenheimer Feld 270, 69120 Heidelberg, Germany
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  • , 
  • Markus Bender
    Markus Bender
    Organisch-Chemisches Institut, Ruprecht-Karls-Universität Heidelberg, Im Neuenheimer Feld 270, 69120 Heidelberg, Germany
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  • , 
  • Chao Ma
    Chao Ma
    Department of Polymer Chemistry and Bioengineering, Zernike Institute for Advanced Materials, University of Groningen, Nijenborgh 4, 9747 AG Groningen, The Netherlands
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  • , 
  • Kai Seehafer
    Kai Seehafer
    Organisch-Chemisches Institut, Ruprecht-Karls-Universität Heidelberg, Im Neuenheimer Feld 270, 69120 Heidelberg, Germany
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  • , 
  • Andreas Herrmann
    Andreas Herrmann
    Department of Polymer Chemistry and Bioengineering, Zernike Institute for Advanced Materials, University of Groningen, Nijenborgh 4, 9747 AG Groningen, The Netherlands
    DWI-Leibniz Institute for Interactive Materials, RWTH Aachen University, Forckenbeckstr. 50, 52056 Aachen, Germany
    Institute of Technical and Macromolecular Chemistry, RWTH Aachen University, Worringerweg 2, 52074, Aachen, Germany
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    Orcidhttp://orcid.org/0000-0002-8886-0894
  • , and 
  • Uwe H. F. Bunz*
    Uwe H. F. Bunz
    Organisch-Chemisches Institut, Ruprecht-Karls-Universität Heidelberg, Im Neuenheimer Feld 270, 69120 Heidelberg, Germany
    CAM, Centre for Advanced Materials, Ruprecht-Karls-Universität Heidelberg, Im Neuenheimer Feld 225, 69120 Heidelberg, Germany
    *E-mail: [email protected]
    More by Uwe H. F. Bunz
    Orcidhttp://orcid.org/0000-0002-9369-5387
Cite this: ACS Sens. 2018, 3, 8, 1562–1568
Publication Date (Web):June 13, 2018
https://doi.org/10.1021/acssensors.8b00371
Copyright © 2018 American Chemical Society
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    Abstract

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    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.

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    The Supporting Information is available free of charge on the ACS Publications website at DOI: 10.1021/acssensors.8b00371.

    • General information, synthetic details and analytical data for P1–P7, detailed method for obtaining the fluorescence response pattern, experimental setup, additional screening, and linear discriminant analysis data (PDF)

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