Rapid, sensitive, and multiplexed on-chip optical sensors for micro-gas chromatography†
Abstract
We developed and characterized a rapid, sensitive and integrated optical vapor sensor array for micro-
Maintenance work is planned from 22:00 BST on Monday 16th September 2024 to 22:00 BST on Tuesday 17th September 2024.
During this time the performance of our website may be affected - searches may run slowly, some pages may be temporarily unavailable, and you may be unable to access content. If this happens, please try refreshing your web browser or try waiting two to three minutes before trying again.
We apologise for any inconvenience this might cause and thank you for your patience.
* Corresponding authors
a
Department of Biomedical Engineering, University of Michigan, 1101 Beal Avenue, Ann Arbor, USA
E-mail:
xsfan@umich.edu
Fax: +1 734-647-4834
Tel: +1 734-763-1273
b Department of Electrical Engineering and Computer Science, University of Michigan, 1301 Beal Avenue, Ann Arbor, USA
c Center for Wireless Integrated Microsensing and Systems, University of Michigan, 1301 Beal Avenue, Ann Arbor, USA
We developed and characterized a rapid, sensitive and integrated optical vapor sensor array for micro-
K. Reddy, Y. Guo, J. Liu, W. Lee, M. K. Khaing Oo and X. Fan, Lab Chip, 2012, 12, 901 DOI: 10.1039/C2LC20922E
To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page.
If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.
If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.
Read more about how to correctly acknowledge RSC content.
Fetching data from CrossRef.
This may take some time to load.
Loading related content