Development of a liquid crystal-based α-glucosidase assay to detect anti-diabetic drugs
Development of a liquid crystal-based α-glucosidase assay to detect anti-diabetic drugs
Abstract The detection of α-glucosidase (AGLU) inhibitors is critical for the screening of anti-diabetic drugs. In this study, we first demonstrate a liquid crystal (LC)-based assay to detect anti-diabetic drugs. When the solution of non-ionic surfactant dodecyl α-D-glucopyranoside (DDG) is introduced onto the LCs, self-assembled monolayers are formed at the aqueous/LC interface, which induces the perpendicular orientation of LC molecules at the interface. Accordingly, the LCs show a dark image. However, when a mixture of AGLU and DDG is introduced onto the LCs, a bright image is observed due to enzymatic hydrolysis of DDG by AGLU, which prevents formation of the surfactant monolayers and results in the planar or tilted orientation of LC molecules at the interface. Using the LC-based AGLU assay, the detection of three AGLU inhibitors that are popular anti-diabetic drugs including acarbose, migliol, and voglibose is demonstrated. In addition, the linear detection ranges and the detection limits of these drugs are also determined. This method provides a simple and powerful strategy to rapidly and accurately detect AGLU inhibitors, which is very promising in the applications of screening anti-diabetic drugs.
- Jiangnan University China (People's Republic of)
- Xiangnan University China (People's Republic of)
- Qilu University of Technology China (People's Republic of)
7 Research products, page 1 of 1
- 2005IsAmongTopNSimilarDocuments
- 2003IsAmongTopNSimilarDocuments
- 2005IsAmongTopNSimilarDocuments
- 2002IsAmongTopNSimilarDocuments
- 2000IsAmongTopNSimilarDocuments
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).10 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
