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10.1021/acs.analchem.0c02971

http://scihub22266oqcxt.onion/10.1021/acs.analchem.0c02971
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33645217!ä!33645217

suck abstract from ncbi


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pmid33645217      Anal+Chem 2021 ; 93 (9): 4154-4159
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  • Detection of SARS-CoV-2 DNA Targets Using Femtoliter Optofluidic Waveguides #MMPMID33645217
  • Makela M; Lin PT
  • Anal Chem 2021[Mar]; 93 (9): 4154-4159 PMID33645217show ga
  • Chip-scale SARS-CoV-2 testing was demonstrated using silicon nitride (Si(3)N(4)) nanoslot fluidic waveguides to detect a tagged oligonucleotide with a coronavirus DNA sequence. The slot waveguides were fabricated using complementary metal-oxide-semiconductor (CMOS) fabrication processes, including multiscale lithography and selective reactive ion etching (RIE), forming femtoliter fluidic channels. Finite difference method (FDM) simulation was used to calculate the optical field distribution of the waveguide mode when the waveguide sensor was excited by transverse electric (TE) and transverse magnetic (TM) polarized light. For the TE polarization, a strong optical field was created in the slot region and its field intensity was 14x stronger than the evanescent sensing field from the TM polarization. The nanoscale confinement of the optical sensing field significantly enhanced the light-analyte interaction and improved the optical sensitivity. The sensitivity enhancement was experimentally demonstrated by measuring the polarization-dependent fluorescence emission from the tagged oligonucleotide. The photonic chips consisting of femtoliter Si(3)N(4) waveguides provide a low-cost and high throughput platform for real-time virus identification, which is critical for point-of-care (PoC) diagnostic applications.
  • |COVID-19 Testing/*methods[MESH]
  • |COVID-19/*diagnosis/*virology[MESH]
  • |DNA, Viral/*analysis[MESH]
  • |Humans[MESH]
  • |Nanoparticles/*chemistry[MESH]
  • |Optics and Photonics[MESH]
  • |Point-of-Care Systems[MESH]
  • |Refractometry[MESH]
  • |SARS-CoV-2/*genetics/*isolation & purification[MESH]
  • |Semiconductors[MESH]
  • |Sensitivity and Specificity[MESH]


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