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Notice of retraction
Vol. 34, No. 8(3), S&M3042

Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
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Sensors and Materials, Volume 33, Number 1(2) (2021)
Copyright(C) MYU K.K.
pp. 233-240
S&M2449 Research Paper of Special Issue
https://doi.org/10.18494/SAM.2021.3074
Published in advance: December 23, 2020
Published: January 22, 2021

Pattern-recognition-based Identification of Proteases and Their Complexes by a One-component Array Composed of a Dansyl-modified Charged Polymer [PDF]

Shunsuke Tomita and Ryoji Kurita

(Received October 22, 2020; Accepted December 14, 2020)

Keywords: proteases, biosensors, multivariate analysis, polymers

Pattern-recognition-based protein sensing has recently attracted attention as an alternative to conventional specificity-based sensing. Herein, we present a simple one-component array consisting of a charged poly-L-lysine modified with environment-responsive dansyl fluorophores (PLL-Dnc) for the identification of proteases. An array of PLL-Dnc dissolved in three buffer solutions with different pH values is capable of producing fluorescent patterns that are unique to each protease via diverse interactions, allowing the identification of eight proteases by multivariate analysis. Although it is impractical to quantify mixed samples of proteases and their inhibitor proteins by conventional enzyme-activity-based assays, the present array has enabled the discrimination of mixtures of trypsin and α1-antitrypsin (ATT) with different compositions. Considering that the PLL-Dnc array has high accessibility and consists of only a single polymeric material that can be easily prepared, our method is expected to allow screening for the formation of protein-protein complexes, as well as the detection of disease-associated proteases.

Corresponding author: Shunsuke Tomita and Ryoji Kurita


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This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
Shunsuke Tomita and Ryoji Kurita, Pattern-recognition-based Identification of Proteases and Their Complexes by a One-component Array Composed of a Dansyl-modified Charged Polymer, Sens. Mater., Vol. 33, No. 1, 2021, p. 233-240.



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