Abstract
We report a sensitive colorimetric detection of botulinum neurotoxin (BoNT) activity using gold nanoparticles (AuNPs). First, the SNAPtide modified with biotin and cysteine in its two ends, would be cleaved into two short peptides by BoNT activity. The unreacted and cleaved peptides with biotin would be removed by magnetic separation, leaving only cleaved peptides with cysteine end. Next, AuNPs were added to bind with the cleaved peptides via thiol group of cysteine. These AuNPs functionalized with peptides would aggregate and cause a color change by addition of Cu2+. By this method, the detection limit of BoNTs reached to 1 ng/ml (6.67 pM), which is so far the most sensitive colorimetric detection of BoNT activity, providing a simple and instrumentation free approach suitable for resource-poor settings.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 9th IEEE International Conference on Nano/Molecular Medicine and Engineering |
| Publisher | IEEE Computer Society |
| Pages | 68-71 |
| ISBN (Print) | 9781467396721, 9781467396714 |
| DOIs | |
| Publication status | Published - Nov 2015 |
| Event | 9th IEEE International Conference on Nano/Molecular Medicine and Engineering (IEEE-NANOMED 2015) - Honolulu, United States Duration: 15 Nov 2015 → 18 Nov 2015 |
Publication series
| Name | |
|---|---|
| ISSN (Print) | 2159-6964 |
| ISSN (Electronic) | 2159-6972 |
Conference
| Conference | 9th IEEE International Conference on Nano/Molecular Medicine and Engineering (IEEE-NANOMED 2015) |
|---|---|
| Place | United States |
| City | Honolulu |
| Period | 15/11/15 → 18/11/15 |
Research Keywords
- botulinum neurotoxin
- colorimetric detection
- gold nanoparticles
Fingerprint
Dive into the research topics of 'Colorimetric Detection of Botulinum Neurotoxin Activity Using Gold Nanoparticles'. Together they form a unique fingerprint.Student theses
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The Development of Biosensors Using Gold Nanoparticles as Sensing Platform
CHEN, S. (Author), CHEN, T. H. (Supervisor), CHIENG, C.-C. (Supervisor) & LAM, M. L. (Co-supervisor), 25 Jul 2017Student thesis: Doctoral Thesis
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