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Deep eutectic solvent-based manganese dioxide nanosheets composites for determination of DNA by a colorimetric method
1Institute of Maternal and Child Health, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, 430016, Wuhan, China. xujia0113@hust.edu.cn.
BMC Chemistry
|March 13, 2023
Summary
A new colorimetric method uses deep eutectic solvents (DESs) and manganese dioxide (MnO2) nanosheets to quantify DNA. This simple method effectively measures DNA concentration in complex samples like bovine serum.
Area of Science:
- Biochemistry
- Analytical Chemistry
- Materials Science
Background:
- Nucleic acids carry genetic information and are vital in life sciences.
- Accurate quantification of nucleic acids in complex biological samples is crucial.
- Developing simple and feasible quantification methods is an ongoing challenge.
Purpose of the Study:
- To develop a novel colorimetric method for DNA quantification.
- To utilize deep eutectic solvents (DESs) and manganese dioxide (MnO2) nanosheets for DNA detection.
- To establish a simple and efficient method for DNA measurement in biological samples.
Main Methods:
- Synthesized DESs using various hydrogen bond acceptors and hexafluoroisopropanol (HFIP).
- Prepared DESs-based MnO2 nanosheets composites.
- Quantified DNA concentration using UV-Vis spectrophotometry and a colorimetric assay.
Main Results:
- The DES/MnO2 composite showed oxidase-like activity, oxidizing TMB to a blue product.
- DNA introduction inhibited the color reaction through hydrogen bonding and electrostatic interactions with DES.
- Optimized conditions (ChCl/HFIP DES, 1:3 molar ratio) yielded a linear DNA detection range of 10-130 µg/mL with good selectivity.
Conclusions:
- Developed a DES/MnO2-based colorimetric method for DNA quantification.
- The method demonstrates successful application in quantifying DNA within bovine serum samples.
- This approach offers a promising tool for nucleic acid analysis in biological matrices.

