henhaobio
Sign in

bioRxivBioengineeringPreprint

Biosynthetic Olfactory System from Multiplexed Engineered Microbes (BOSMEM)

Hann X. Tu, Shohreh VanaeiiD, Balasubalakshmi Balasubramanian, Pranav Mundada, Rucha Deshpande, Swaralee Kulkarni, Itishree Sahoo, Neel JoshiiD

PDFDOI

Abstract

Whole-cell biosensors can detect many types of chemicals in complex environments, but existing designs force a tradeoff in multiplexed sensing: separating sensor strains into individual reservoirs limits how many analytes can be monitored at once, while pooling strains in open co-culture lets faster-growing strains take over within days, corrupting the signal. The microfluidic "mother machine" has been used for over a decade, mostly to study individual bacterial strains with single-cell resolution, but never to house multiple engineered strains simultaneously for sensing applications. We repurpose this device to hold a library of genetically distinct biosensor strains, physically isolating each strain in its own growth channel while continuous flow keeps every strain fed. Each strain reports on a target chemical through a unique combination of three fluorescent proteins, so seven distinguishable signals emerge from only three optical channels. We characterized turn-on and turn-off kinetics of several biosensors in the mother machine. Over a multi-day experiment with repeated chemical exposures, biosensors housed this way matched the expected on/off state and held stable population ratios, while biosensors in an open batch co-culture drifted and lost reliable signal. This establishes mother-machine-based multiplexing as a scalable route to long-term chemical monitoring with living sensors.

Citations
0

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISChiang '26Chien '19Kalvapalle '24Volpetti '17Atkinson '22Javanpour '21
67% semantic matchBioengineering
Alyssa Jasmine Chiang, Nicholas Csicsery, Richard O’Laughlin+12 more·Cell Systems·Aug 18, 2026