A Portable Arsenic Sensor Integrating <i>Bacillus megaterium</i> with CMOS Technology
Bacteria innately monitor their environment by dynamically regulating gene expression to respond to fluctuating conditions. Through synthetic biology, we can harness this natural capability to design cell-based sensors. <i>Bacillus megaterium</i>, a soil bacterium, stands out due to its remarkable heavy metal tolerance and sporulation ability, making it an ideal candidate for heavy metal detection with low transportation costs. However, challenges persist: the synthetic biology toolkit for this strain is underdeveloped, and conventional whole-cell sensors necessitate specialized laboratory equipment to read the output. In our study, we have genetically modified <i>B. megaterium</i> for arsenic detection and established a detection threshold below the EPA's recommendation of 10 ppb for drinking water in both vegetative and spore forms. Additionally, we have integrated both engineered <i>B. megaterium</i> living cells and spores with a complementary metal-oxide-semiconductor (CMOS) chip, providing a proof-of-concept for field-deployable arsenic detection. We show that the limit of detection (LOD) of our integrated sensor is within the range to test arsenic levels in soil and food. As a proof of concept, this work paves the way for the deployment of our sensor in resource-limited settings, ensuring real-time arsenic detection in challenging environments.
Authors
- Elin M. Larsson (ORCID: https://orcid.org/0000-0003-1341-5937)
- Richard M. Murray (ORCID: https://orcid.org/0000-0002-5785-7481)
- Azita Emami (ORCID: https://orcid.org/0000-0002-6945-9958)
- Fatemeh Aghlmand (ORCID: https://orcid.org/0000-0002-5103-9314)
- Chelsea Y. Hu (ORCID: https://orcid.org/0000-0002-2211-1778)
- John B. McManus
- Tracy Mei (ORCID: https://orcid.org/0000-0003-2743-0126)
Institutions
- California Institute of Technology (US)
- Mitchell Institute (US)
- Bioengineering Center (RU)
- Texas A&M University (US)
Publication Details
- Journal
- ACS Synthetic Biology
- Published
- 2025-04-11
- DOI
- https://doi.org/10.1021/acssynbio.4c00895
- Citations
- 2
- Primary Topic
- Advanced biosensing and bioanalysis techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.61
Funders
- California Institute of Technology
- Heritage Medical Research Institute
- Army Research Office
- Institute for Collaborative Biotechnologies