A Compositionally Biased Oligourethane Sensor Array To Differentiate Solids by Their Surface Chemistry: An Analogy to the Sense of Touch

Array-based differential sensing is inspired by a mammal's sense of taste and smell. The human sense of touch is also array-based; using mechanosensors in the skin that differentiate surfaces by their surface chemistry. Inspired by this, we aimed to develop a rationally biased and randomized oligomer sensor array which differentiates bulk solids by their surface chemistry. Column chromatography mimics this aspect of the sense of touch, as it is traditionally used to physically separate molecules in solution by the strength of their noncovalent interactions with the stationary phase. In this report, we differentiated column chromatography stationary phases (the analyte) by the retention time (the sensor's analytical response) of a vast library of oligomers with statistically biased but random monomer compositions (the sensor array). The use of unsupervised principal component analysis (PCA) validated our sensor array design by differentiating five surfaces with tight replicate clustering and a high degree of cross-reactivity.

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Publication Details

Journal
Journal of the American Chemical Society
Published
2025-08-12
DOI
https://doi.org/10.1021/jacs.5c10754
Citations
1
Primary Topic
Advanced Chemical Sensor Technologies
Type
article
Field-Weighted Citation Impact
0.67

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article

A Compositionally Biased Oligourethane Sensor Array To Differentiate Solids by Their Surface Chemistry: An Analogy to the Sense of Touch

S. S. Johnson, Jongdoo Lim, Marissa S. Vera, Hazel A. Fargher et al.
1 citations
Journal of the American Chemical Society
Advanced Chemical Sensor Technologies
0.67
article

A Compositionally Biased Oligourethane Sensor Array To Differentiate Solids by Their Surface Chemistry: An Analogy to the Sense of Touch

S. S. Johnson, Jongdoo Lim, Marissa S. Vera, Hazel A. Fargher, Heather Valeah Graham, Catherine Maggiori, Sanchita Bhadra, Eric V. Anslyn, Yuhan Zhou, Silke Asche, Samuel D. Dahlhauser, Andrew D. Ellington, Christopher D. Wight, Julia R. Shuluk, Preethi Devireddy
article en
1 citations

Abstract

Array-based differential sensing is inspired by a mammal's sense of taste and smell. The human sense of touch is also array-based; using mechanosensors in the skin that differentiate surfaces by their surface chemistry. Inspired by this, we aimed to develop a rationally biased and randomized oligomer sensor array which differentiates bulk solids by their surface chemistry. Column chromatography mimics this aspect of the sense of touch, as it is traditionally used to physically separate molecules in solution by the strength of their noncovalent interactions with the stationary phase. In this report, we differentiated column chromatography stationary phases (the analyte) by the retention time (the sensor's analytical response) of a vast library of oligomers with statistically biased but random monomer compositions (the sensor array). The use of unsupervised principal component analysis (PCA) validated our sensor array design by differentiating five surfaces with tight replicate clustering and a high degree of cross-reactivity.

Journal of the American Chemical SocietyVol. 147(34)
Goddard Space Flight Center (US), Georgetown University (US), National Aeronautics and Space Administration (US), Institut de Biologie Moléculaire et Cellulaire (FR), Biosignatures (United Kingdom) (GB), The University of Texas at Austin (US)
Howard Hughes Medical Institute, Welch Foundation, NASA Astrobiology Institute, DEVCOM Army Research Laboratory
Openalex Percentile: Top 28%
Advanced Chemical Sensor Technologies
0.67
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