You are currently viewing a new version of our website. To view the old version click .
Engineering Proceedings
  • Abstract
  • Open Access

24 August 2022

Remote Bio-Detection of Buried Landmines by Luminescent Microbial Sensors †

,
,
and
Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel
*
Author to whom correspondence should be addressed.
Presented at the 9th International Symposium on Sensor Science, Warsaw, Poland, 20–22 June 2022.
This article belongs to the Proceedings The 9th International Symposium on Sensor Science

Abstract

Landmines and explosive remnants of war pose a global humanitarian problem and cause numerous casualties long after the conflict has ended. The current approaches for locating landmines, such as metal detection, which require one’s physical presence at the minefield, involve high risk to personnel; these methods are also costly, time-consuming, and have a high rate of false-positive results. There is no currently viable technology for the remote detection of buried explosive devices. A possible solution to this may be the use of genetically engineered microorganisms, molecularly “tailored” to emit an optical signal in the presence of trace explosives escaping for the landmine and accumulating in the soil above it. This optical signal, imaged from a remote location, can then be used to generate a physical map of the mine’s location. A few years ago, we have described the remote detection of buried landmines using alginate-encapsulated fluorescent microbial (Escherichia coli) bioreporters spread over the tested minefield. Since then, we have modified the system to one based on bioluminescent (rather than fluorescent) bacteria and have employed several synthetic biology approaches to significantly enhance their major performance parameters: higher signal intensity, faster response time, and lower detection threshold of the target explosives. These molecular approaches and their effect on sensor performance will be described.

Author Contributions

Conceptualization, S.B., E.S., B.S. and T.E.; methodology, E.S., B.S. and T.E.; resources, S.B.; writing—E.S. and S.B.; funding acquisition, S.B. All authors have read and agreed to the published version of the manuscript.

Funding

This research was sponsored by the Army Research Office and the Defense Advanced Research Projects Agency (DARPA) Biological Technologies Office (BTO) and was accomplished under Cooperative Agreement Number W911NF-18-2-0002. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Army Research Office and the Defense Advanced Research Projects Agency (DARPA) Biological Technologies Office (BTO) or the U.S. Government. The U.S. Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation herein. Research was also partially supported by the Minerva Center for Bio-Hybrid Complex Systems.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Article Metrics

Citations

Article Access Statistics

Multiple requests from the same IP address are counted as one view.