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Digital enzyme assay using attoliter droplet array.
- Source :
-
The Analyst [Analyst] 2018 Oct 08; Vol. 143 (20), pp. 4923-4929. - Publication Year :
- 2018
-
Abstract
- Single-molecule digital enzyme assay using micron-sized droplet array is a promising analysis method to quantify biomolecules at extremely low concentrations. However, multiplex digital enzyme assays are still difficult to access because the best buffer conditions can vary largely among enzymes. In addition, the best conditions for flurogenic compounds to retain high quantum efficiency and to avoid leakage into the oil phase can be also very different. In this study, digital enzyme assay was performed using an array of nanometer-sized droplets of 200 aL volume, termed 'nanocell'. Due to the small reaction volume, nanocell enhanced the accumulation rate of fluorescent products by a factor of 100 when compared with micron-sized reactors. Nanocell also enabled oil-free sealing of reactors: when flushed with an air flow, nanocell displayed water droplets under air, allowing enzymes to catalyze the reaction at the same rate as in oil-sealed reactors. Dual digital enzyme assay was also demonstrated using β-galactosidase and alkaline phosphatase (ALP) at pH 7.4, which is far from the optimum condition for ALP. Even under such a non-optimum condition, ALP molecules were successfully detected. Nanocell could largely expand the applicability of digital bioassay for enzymes under non-optimum conditions or enzymes of low turnover rate. The sealing of the reactor with air would also expand the applicability, allowing the use of fluorescent dyes that leak into oil.
- Subjects :
- Enzyme Assays instrumentation
Enzyme-Linked Immunosorbent Assay instrumentation
Escherichia coli enzymology
Escherichia coli Proteins analysis
Fluoresceins chemistry
Fluorescent Dyes chemistry
Hydrogen-Ion Concentration
Alkaline Phosphatase analysis
Enzyme Assays methods
Enzyme-Linked Immunosorbent Assay methods
beta-Galactosidase analysis
Subjects
Details
- Language :
- English
- ISSN :
- 1364-5528
- Volume :
- 143
- Issue :
- 20
- Database :
- MEDLINE
- Journal :
- The Analyst
- Publication Type :
- Academic Journal
- Accession number :
- 30221644
- Full Text :
- https://doi.org/10.1039/c8an01152d