Scanometric Detection of Tomato Leaf Curl New Delhi Viral DNA Using Mono- and Bifunctional AuNP-Conjugated Oligonucleotide Probes.

Clicks: 309
ID: 21771
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #127 of 475 articles by views in ACS omega

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 475 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Scanometric detection of tomato leaf curl New Delhi viral DNA using AuNP-conjugated mono- and bifunctional oligo probes through direct DNA hybridization assay (DDH assay) and sandwich DNA hybridization assay (SDH assay) with silver enhancement was developed. Tomato leaf curl New Delhi virus (ToLCNDV) coat protein gene-specific thiol-modified ssoligo probes were used for the preparation of mono- and bifunctional AuNP-ssoligo probe conjugates (signal probes). ssDNA arrays were prepared using polymerase chain reaction (PCR), rolling circle amplification (RCA), genomic DNAs fragments, and phosphate-modified positive control/capture probes through 1-ethyl-3-(3-dimethylaminopropyl)-carbodiimide/1-methylimidazole conjugation on the amine-modified glass slide (GS) surface. In the DDH assay, signal probes were directly hybridized with ssDNA array of positive control and ToLCNDV DNA samples and the detection signals were amplified by silver enhancement. Dark black/gray colors were developed on the GS by the result of Ag enhancement, which can be visualized and discriminated by the naked eye. The images were captured using a simple flatbed scanner, and the determined amounts of signal probes were hybridized with their target DNA. Similarly, the SDH assay also performed through two rounds of hybridization between capture probes and target DNA; target DNA and signal probes followed by silver enhancement. The detection signals were found higher in the PCR sample than the RCA and genomic DNA samples because of the presence of increased copy numbers of complementary DNAs in PCR samples. Further, bifunctional AuNP-ssoligo probe shows higher intensity of detection signal than monofunctional probes because it can be hybridized with both strands of dsDNA targets. Moreover, the DDH-based scanometric method showed higher detection sensitivity than the SDH assay-based scanometric method. Overall, bifunctional signal probes showed more detection sensitivity than monofunctional probes in scanometric methods based on both DDH and SDH assays. The limit of detection of this developed scanometric method was optimized (100 zM to 100 pM concentration). Further, DDH assay-based scanometric method shows significant advantages over the SDH assay method, such as cost-effectiveness, because it requires only single probes (signal probes), less time-consuming by the need of only single-step hybridization, and higher detection sensitivity (up to zM). To the best of our knowledge, this is the first attempt made to develop a scanometric-based nanoassay method for the detection of plant viral DNA. This approach will be a remarkable milestone for the application of nanotechnology in the development of nanobiosensor for plant pathogen detection.
Reference Key
dharanivasan2019scanometricacs Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Dharanivasan, Gunasekaran;Jesse, Denison Michael Immanuel;Rajamuthuramalingam, Thangavelu;Rajendran, Ganapathy;Shanthi, Sathappan;Kathiravan, Krishnan;
Journal ACS omega
Year 2019
DOI
10.1021/acsomega.9b00340
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.