The development of Army relevant peptide-based surface enhanced Raman scattering (SERS) sensors for biological threat detection
| dc.contributor.author | Farrell, Mikella E. | |
| dc.contributor.author | Strobbia, Pietro | |
| dc.contributor.author | Sarkes, Deborah A. | |
| dc.contributor.author | Stratis-Cullum, Dimitra N. | |
| dc.contributor.author | Cullum, Brian | |
| dc.contributor.author | Pellegrino, Paul M. | |
| dc.date.accessioned | 2024-09-04T19:58:43Z | |
| dc.date.available | 2024-09-04T19:58:43Z | |
| dc.date.issued | 2016-05-13 | |
| dc.description | SPIE Commercial + Scientific Sensing and Imaging, 17-21 APRIL 2016, Baltimore, MD, United States | |
| dc.description.abstract | The utility of peptide-based molecular sensing for the development of novel biosensors has resulted in a significant increase in their development and usage for sensing targets like chemical, biological, energetic and toxic materials. Using peptides as a molecular recognition element is particularly advantageous because there are several mature peptide synthesis protocols that already exist, peptide structures can be tailored, selected and manipulated to be highly discerning towards desired targets, peptides can be modified to be very stable in a host of environments and stable under many different conditions, and through the development of bifunctionalized peptides can be synthesized to also bind onto desired sensing platforms (various metal materials, glass, etc.). Two examples of the several Army relevant biological targets for peptide-based sensing platforms include Ricin and Abrin. Ricin and Abrin are alarming threats because both can be weaponized and there is no antidote for exposure. Combining the sensitivity of SERS with the selectivity of a bifunctional peptide allows for the emergence of dynamic hazard sensor for Army application. | |
| dc.description.sponsorship | The authors would like to acknowledge the support of the US Army Research Laboratory Sensors and Electron Devices Directorate for funding. They would like to thank collaborators at the University of Maryland Baltimore County for the fabrication of the regenerated substrates, collection of 633nm data, and confirmation of SPR data. | |
| dc.description.uri | https://www.spiedigitallibrary.org/conference-proceedings-of-spie/9863/98630B/The-development-of-Army-relevant-peptide-based-surface-enhanced-Raman/10.1117/12.2224102.full | |
| dc.format.extent | 16 pages | |
| dc.genre | conference papers and proceedings | |
| dc.identifier | doi:10.13016/m2njr8-yu6v | |
| dc.identifier.citation | Farrell, Mikella E., Pietro Strobbia, Deborah A. Sarkes, Dimitra N. Stratis-Cullum, Brian M. Cullum, and Paul M. Pellegrino. “The Development of Army Relevant Peptide-Based Surface Enhanced Raman Scattering (SERS) Sensors for Biological Threat Detection.” In Smart Biomedical and Physiological Sensor Technology XIII, 9863:45–60. SPIE, 2016. https://doi.org/10.1117/12.2224102. | |
| dc.identifier.uri | https://doi.org/10.1117/12.2224102 | |
| dc.identifier.uri | http://hdl.handle.net/11603/35991 | |
| dc.language.iso | en_US | |
| dc.publisher | SPIE | |
| dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
| dc.relation.ispartof | UMBC Faculty Collection | |
| dc.relation.ispartof | UMBC Chemistry & Biochemistry Department | |
| dc.relation.ispartof | UMBC Student Collection | |
| dc.rights | This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law. | |
| dc.rights | Public Domain | |
| dc.rights.uri | https://creativecommons.org/publicdomain/mark/1.0/ | |
| dc.title | The development of Army relevant peptide-based surface enhanced Raman scattering (SERS) sensors for biological threat detection | |
| dc.type | Text | |
| dcterms.creator | https://orcid.org/0000-0002-5250-8290 | |
| dcterms.creator | https://orcid.org/0000-0003-0884-6185 |
Files
Original bundle
1 - 1 of 1
