toggle visibility
Search within Results:
Display Options:

Select All    Deselect All
 |   | 
Details
   print
  Record Links
Author Thiruvottriyur Shanmugam, S.; Steijlen, A.; Laurijssen, D.; Campos, R.; Steckel, J.; Daems, W.; Bassini, S.; Daems, E.; De Wael, K. pdf  doi
openurl 
  Title A 96-well LED array for multiplexed photoelectrochemical detection of nucleic acids Type A1 Journal article
  Year (down) 2024 Publication Analytical chemistry Abbreviated Journal  
  Volume 96 Issue 38 Pages 15091-15096  
  Keywords A1 Journal article; Co-Design of Cyber-Physical Systems (Cosys-Lab); Antwerp Electrochemical and Analytical Sciences Lab (A-Sense Lab); Antwerp engineering, PhotoElectroChemistry & Sensing (A-PECS)  
  Abstract Photoelectrochemical detection of nucleic acid-based cancer biomarkers offers opportunities for highly sensitive, selective, and fast quantitative detection using low-cost measurement instruments. In order to establish itself as a standard method for identifying and quantifying nucleic acids, we have developed a multiplexing strategy using LED technology for photoelectrochemical detection in 96 samples simultaneously. A dedicated setup based on the 96-well plate configuration with a custom-made 96-well LED array was developed. Subsequently, a proof-of-concept study was performed for three miRNAs that are associated with prostate cancer, i.e., miRNA-141, miRNA-145, and miRNA-375. First, measurements with photosensitizer chlorin e6 and redox reporter hydroquinone free in solution proved the proper functioning of the multiplexed detection. Second, the photoelectrochemical detection of the three miRNAs at 24 nM levels was successfully demonstrated. Thereafter, linear calibration curves (R2 > 0.9 for all analytes) were made with plasma spiked with 8–500 pM miRNA. This work presents the first system for multiplexed high-throughput photoelectrochemical detection, allowing it potentially to become a cost-effective and faster alternative to RT-qPCR and gene sequencing techniques in the future.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos Publication Date 2024-09-12  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0003-2700; 5206-882x ISBN Additional Links UA library record  
  Impact Factor 7.4 Times cited Open Access  
  Notes Approved Most recent IF: 7.4; 2024 IF: 6.32  
  Call Number UA @ admin @ c:irua:208164 Serial 9275  
Permanent link to this record
Select All    Deselect All
 |   | 
Details
   print

Save Citations:
Export Records: