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Cell-free biosensor with automated acoustic liquid handling for rapid and scalable characterization of cellobiohydrolases on microcrystalline cellulose

Synthetic Biology 2025 3 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 48 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Tae-Ok Kim, Eun Jung Jeon, Kil Koang Kwon, Kil Koang Kwon, Minji Ko, Ha‐Neul Kim, Seong Keun Kim, Bong Hyun Sung, Eugene Rha, Eugene Rha, Jonghyeok Shin, Haseong Kim, Dae‐Hee Lee, Bong Hyun Sung, Soo‐Jung Kim, Hyewon Lee, Seung‐Goo Lee

Summary

A cell-free cellobiose-detecting biosensor combined with automated acoustic liquid handling enabled rapid, scalable characterization of cellobiohydrolase enzyme activity on microcrystalline cellulose—providing a high-throughput screening tool for engineering enzymes capable of degrading solid substrates including crystalline cellulose from microplastics in sewage.

Engineering enzymes to degrade solid substrates, such as crystalline cellulose from paper sludge or microplastics in sewage sludge, presents challenges for high-throughput screening (HTS), as solid substrates are not readily accessible in cell-based biosensor systems. To address this challenge, we developed a cell-free cellobiose-detectable biosensor (CB-biosensor) for rapid characterization of cellobiohydrolase (CBH) activity, enabling direct detection of hydrolysis products without cellular constraints. The CB-biosensor demonstrates higher sensitivity than conventional assays and distinguishes between CBH subtypes (CBHI and CBHII) based on their modes of action. Integration with the Echo 525 liquid handler enables precise and reproducible sample processing, with fluorescence signals from automated preparations comparable to manual experiments. Furthermore, assay volumes can be reduced to just a few microlitres-impractical with manual methods. This cell-free CB-biosensor with Echo 525 minimizes reagent consumption, accelerates testing, and facilitates reliable large-scale screening. These findings highlight its potential to overcome current HTS limitations, advancing enzyme screening and accelerating the Design-Build-Test-Learn cycle for sustainable biomanufacturing.

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