Chelsea Y. Hu, John B. McManus, Fatemeh Aghlmand, Elin M Larsson, Azita Emami, Richard M Murray
{"title":"A Field-Deployable Arsenic Sensor Integrating Bacillus Megaterium with CMOS Technology","authors":"Chelsea Y. Hu, John B. McManus, Fatemeh Aghlmand, Elin M Larsson, Azita Emami, Richard M Murray","doi":"10.1101/2024.07.18.604150","DOIUrl":null,"url":null,"abstract":"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. Bacillus megaterium, 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 genetically modified B. megaterium for arsenic detection, establishing a detection threshold below the EPA recommendation of 10 ppb for drinking water in both vegetative cell form and spore form. Additionally, we integrated both engineered B. megaterium living cells and spores with CMOS chip for field-deployable arsenic detection. We show that the limit of detection of our integrated sensor is applicable in soil and air arsenic contamination testing. As a proof of concept, this work paves the way for deploying our sensor in resource-limited settings, ensuring real-time arsenic detection in challenging environments.","PeriodicalId":501408,"journal":{"name":"bioRxiv - Synthetic Biology","volume":"20 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"bioRxiv - Synthetic Biology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.07.18.604150","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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. Bacillus megaterium, 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 genetically modified B. megaterium for arsenic detection, establishing a detection threshold below the EPA recommendation of 10 ppb for drinking water in both vegetative cell form and spore form. Additionally, we integrated both engineered B. megaterium living cells and spores with CMOS chip for field-deployable arsenic detection. We show that the limit of detection of our integrated sensor is applicable in soil and air arsenic contamination testing. As a proof of concept, this work paves the way for deploying our sensor in resource-limited settings, ensuring real-time arsenic detection in challenging environments.