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. 2020 Nov 26;20(23):6764. doi: 10.3390/s20236764

Table 4.

Categories of challenges for the detection of COVID-19 techniques.

Challenges, Detection of COVID-19 Virus Techniques According to Critical Review Research
Virus Detection Categories Techniques Limitation
Indirect detection: DNA, RNA Electronic sensors
  • Signal transduction process found is not always apparent.

  • Heterogeneous interface structures.

  • Long time result.

Indirect detection: DNA, RNA Magnetic sensors
  • These require several washing steps, and a well-trained technician is necessary.

  • Sensitivity medium and time-consuming.

Indirect detection: Spike protein Electrochemical sensors
  • Immobilization method of the concerned nanomaterial to minimize the chance of error.

  • Needs a long time.

Indirect detection: IgM antibody, DNA, RNA Optical sensors: LSPR, P-FAB, EWA, QCM, SPR and LSPCF
  • Requirement for point of care remains difficult.

  • High cost.

Direct detection: CT image CT scan
  • The opacity of ground-glasses.

  • Irregular linear patterns in the scan.

  • Lacking in a sample dataset.

Direct detection: X-ray image CXR
  • Abnormalities of the radiograph.

  • Foggy opacity.

  • A sensitivity of 59%.

  • Lacking in a sample dataset.

All Detection Techniques of COVID-19 Viruses Based On
Viral RNA, DNA Identification
  • Long time result; can take 4 h to 3 days.

  • Errors in sampling.

  • Sample preparation, isolation, washing and analysis.

Antibody or Antigen Identification
  • Low concentration and homogeneous protein.

  • Lacking sensitivity.