Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

A competitive and reversible deactivation approach to catalysis-based quantitative assays

Koide, Kazunori and Tracey, Matthew P. and Bu, Xiaodong and Jo, Junyong and Williams, Michael J. and Welch, Christopher J. (2016) A competitive and reversible deactivation approach to catalysis-based quantitative assays. Nature Communications, 7 (1). ISSN 2041-1723

Download (696kB) | Preview


Catalysis-based signal amplification makes optical assays highly sensitive and widely useful in chemical and biochemical research. However, assays must be fine-tuned to avoid signal saturation, substrate depletion and nonlinear performance. Furthermore, once stopped, such assays cannot be restarted, limiting the dynamic range to two orders of magnitude with respect to analyte concentrations. In addition, abundant analytes are difficult to quantify under catalytic conditions due to rapid signal saturation. Herein, we report an approach in which a catalytic reaction competes with a concomitant inactivation of the catalyst or consumption of a reagent required for signal generation. As such, signal generation proceeds for a limited time, then autonomously and reversibly stalls. In two catalysis-based assays, we demonstrate restarting autonomously stalled reactions, enabling accurate measurement over five orders of magnitude, including analyte levels above substrate concentration. This indicates that the dynamic range of catalysis-based assays can be significantly broadened through competitive and reversible deactivation.


Social Networking:
Share |


Item Type: Article
Status: Published
CreatorsEmailPitt UsernameORCID
Tracey, Matthew
Bu, Xiaodong
Jo, Junyong
Williams, Michael J.
Welch, Christopher J.
Date: 19 February 2016
Date Type: Publication
Journal or Publication Title: Nature Communications
Volume: 7
Number: 1
Publisher: Nature Research (part of Springer Nature)
DOI or Unique Handle: 10.1038/ncomms10691
Schools and Programs: Dietrich School of Arts and Sciences > Chemistry
Refereed: No
ISSN: 2041-1723
Official URL:
Article Type: Research Article
Date Deposited: 13 May 2020 16:41
Last Modified: 13 May 2020 16:41


Monthly Views for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item