NiO Nanoparticles for Exceptionally Stable DNA Adsorption and Its Extraction from Biological Fluids
Selective extraction of a small amount of nucleic acids from complex biological samples containing a high concentration of proteins is critical for bioanalytical chemistry. A number of previously published studies have focused on long, double-stranded DNA such as plasmid DNA. On the other hand, we a...
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Published in | Langmuir Vol. 34; no. 31; pp. 9314 - 9321 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
United States
American Chemical Society
07.08.2018
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Subjects | |
Online Access | Get full text |
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Summary: | Selective extraction of a small amount of nucleic acids from complex biological samples containing a high concentration of proteins is critical for bioanalytical chemistry. A number of previously published studies have focused on long, double-stranded DNA such as plasmid DNA. On the other hand, we are interested in short oligonucleotides. Nucleic acids have a negatively charged phosphate backbone that interacts with metal oxides strongly, and this may be used to distinguish them from proteins. In this work, a few metal oxide nanoparticles were screened, including NiO, CoO, ZnO, TiO2, CeO2, and Fe3O4 for DNA recovery. NiO had the highest DNA adsorption efficiency from mixtures containing bovine serum albumin or human blood serum. The adsorption of DNA by NiO was further characterized as a function of the pH, salt concentration, DNA length, and DNA sequence. The adsorption mechanism was studied by adding competing chemicals or denaturing agents. A striking observation was the extremely high adsorption affinity of NiO, much higher than that of the other tested oxides. Polyphosphate was the most effective agent for displacing adsorbed DNA, whereas simple inorganic phosphate was less effective. NiO was able to concentrate DNA from a serum mixture by 33- to 55-fold, depending on the serum concentration. NiO is thus a promising candidate for extracting DNA from biological samples. |
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ISSN: | 0743-7463 1520-5827 |
DOI: | 10.1021/acs.langmuir.8b01743 |