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Multicellular sensor arrays fabricated by capillary stamping for pattern-based odor discrimination.

Haruka Oda¹, Hisatoshi Mimura², Toshihisa Osaki²

¹Department of Mechano-Informatics, Graduate School of Information Science and Technology, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan. takeuchi@hybrid.t.u-tokyo.ac.jp.

|July 1, 2026

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This summary is machine-generated.

This study introduces a novel cell array fabrication device for advanced chemical sensing. The platform enables reproducible, high-density arrays for analyzing complex odorant mixtures and discriminating between them.

Area of Science:

Biotechnology
Chemical Sensing
Biohybrid Systems

Background:

Chemical sensing in complex environments requires distributed receptor responses, not just specific molecular interactions.
Developing sensing platforms with diverse receptor populations is crucial for this challenge.

Purpose of the Study:

To develop a reproducible method for creating dense, spatially organized living cell arrays for chemical sensing.
To demonstrate the utility of these arrays in analyzing complex odorant mixtures and enabling odorant discrimination.

Main Methods:

A capillary-based multi-stamping device was engineered for single-operation fabrication of living cell arrays.
Insect cells expressing distinct odorant receptors and a calcium indicator were used to create 9x9 arrays.

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Arrays were stimulated with complex floral odorant mixtures and analyzed using calcium imaging and linear discriminant analysis.

Main Results:

The device enabled reproducible fabrication of dense, spatially indexed living cell arrays.
Simultaneous measurement of nine distinct receptor populations within a single field of view was achieved.
Structured multivariate response patterns were observed upon stimulation with odorant mixtures, allowing for statistically significant class separation.

Conclusions:

The developed platform offers a scalable and reproducible biohybrid sensing architecture.
It facilitates multivariate analysis of living receptor ensembles for biological sensing.
This work provides a foundation for data-driven odorant discrimination using engineered cell arrays.