Author
Listed:
- Jin-Woo Oh
(University of California
Lawrence Berkeley National Laboratory
Pusan National University
Pusan National University)
- Woo-Jae Chung
(University of California
Lawrence Berkeley National Laboratory
College of Biotechnology and Bioengineering, Sungkyunkwan University)
- Kwang Heo
(University of California
Lawrence Berkeley National Laboratory)
- Hyo-Eon Jin
(University of California
Lawrence Berkeley National Laboratory)
- Byung Yang Lee
(University of California
Lawrence Berkeley National Laboratory
Korea University)
- Eddie Wang
(University of California
Lawrence Berkeley National Laboratory)
- Chris Zueger
(University of California
Lawrence Berkeley National Laboratory)
- Winnie Wong
(University of California
Lawrence Berkeley National Laboratory)
- Joel Meyer
(University of California
Lawrence Berkeley National Laboratory)
- Chuntae Kim
(Pusan National University)
- So-Young Lee
(Pusan National University)
- Won-Geun Kim
(Pusan National University)
- Marcin Zemla
(Lawrence Berkeley National Laboratory)
- Manfred Auer
(Lawrence Berkeley National Laboratory)
- Alexander Hexemer
(Advanced Light Source, Lawrence Berkeley National Laboratory)
- Seung-Wuk Lee
(University of California
Lawrence Berkeley National Laboratory)
Abstract
Many materials in nature change colours in response to stimuli, making them attractive for use as sensor platform. However, both natural materials and their synthetic analogues lack selectivity towards specific chemicals, and introducing such selectivity remains a challenge. Here we report the self-assembly of genetically engineered viruses (M13 phage) into target-specific, colourimetric biosensors. The sensors are composed of phage-bundle nanostructures and exhibit viewing-angle independent colour, similar to collagen structures in turkey skin. On exposure to various volatile organic chemicals, the structures rapidly swell and undergo distinct colour changes. Furthermore, sensors composed of phage displaying trinitrotoluene (TNT)-binding peptide motifs identified from a phage display selectively distinguish TNT down to 300 p.p.b. over similarly structured chemicals. Our tunable, colourimetric sensors can be useful for the detection of a variety of harmful toxicants and pathogens to protect human health and national security.
Suggested Citation
Jin-Woo Oh & Woo-Jae Chung & Kwang Heo & Hyo-Eon Jin & Byung Yang Lee & Eddie Wang & Chris Zueger & Winnie Wong & Joel Meyer & Chuntae Kim & So-Young Lee & Won-Geun Kim & Marcin Zemla & Manfred Auer &, 2014.
"Biomimetic virus-based colourimetric sensors,"
Nature Communications, Nature, vol. 5(1), pages 1-8, May.
Handle:
RePEc:nat:natcom:v:5:y:2014:i:1:d:10.1038_ncomms4043
DOI: 10.1038/ncomms4043
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:5:y:2014:i:1:d:10.1038_ncomms4043. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.