DocumentCode :
2123234
Title :
Virus directed assembly of receptor peptides for explosive sensing
Author :
Fan, Xiao Zhu ; Gerasopoulos, Konstantinos ; Brown, Adam ; Siwak, Nathan ; Culver, James ; Ghodssi, Reza
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Maryland, College Park, MD, USA
fYear :
2010
fDate :
1-4 Nov. 2010
Firstpage :
2629
Lastpage :
2633
Abstract :
Abstract-Protein engineering is a rich technology that can be used for chemical vapor detection applications. By utilizing the high specificity and programmability offered by genetic engineering of proteins, a highly selective receptor layer targeting trinitrotoluene (TNT) vapor is developed. This receptor layer consists of a scaffolding made of Tobacco mosaic virus (TMV), whose virus coat protein has been mutated to express cysteine residues and sequence specific peptides to enhance virus self-assembly and selective binding to TNT molecules, respectively. The virus-based receptor layer was assembled on to quartz crystal microbalances (QCMs) for TNT vapor sensing. A 300% increase in TNT attachment was observed on the receptor layer compared to an uncoated QCM. The mass resolution limit was determined to be 3.2ng, limited by the minimum resolution of the current setup. This development demonstrates the potential for programmable viruses to be used as a receptor layer template.
Keywords :
biochemistry; chemical sensors; explosives; genetic engineering; microbalances; microorganisms; molecular biophysics; proteins; self-assembly; QCM; TMV; TNT vapor sensing; chemical vapor detection application; explosive sensing; genetic engineering; protein engineering; quartz crystal microbalance; receptor peptide; selective binding; tobacco mosaic virus; trinitrotoluene vapor; virus directed assembly; virus-based receptor layer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensors, 2010 IEEE
Conference_Location :
Kona, HI
ISSN :
1930-0395
Print_ISBN :
978-1-4244-8170-5
Electronic_ISBN :
1930-0395
Type :
conf
DOI :
10.1109/ICSENS.2010.5690229
Filename :
5690229
Link To Document :
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