4.7 Article

Sensitive and reproducible detection of SARS-CoV-2 using SERS-based microdroplet sensor

Journal

CHEMICAL ENGINEERING JOURNAL
Volume 446, Issue -, Pages -

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.cej.2022.137085

Keywords

Surface-enhanced Raman scattering; Microdroplet sensor; Magnetic bead; SERS nanotag; SARS-CoV-2

Funding

  1. National Research Foundation of Korea [2019R1A2C3004375, 2020R1A5A1018052, 2021M3E5E3080379]
  2. KRIBB Research Initiative Program [1711134081]
  3. National Research Foundation of Korea [4299990214158] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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A SERS-based microdroplet sensor was developed to improve the detection sensitivity and reproducibility of SARS-CoV-2. Compared with traditional methods, this sensor showed significant improvement in detection limit, coefficient of variation, and assay time. Clinical test results demonstrated the agreement between this sensor and the traditional method.
Surface-enhanced Raman scattering (SERS)-based assays have been recently developed to overcome the low detection sensitivity of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). SERS-based assays using magnetic beads in microtubes slightly improved the limit of detection (LoD) for SARS-CoV-2. However, the sensitivity and reproducibility of the method are still insufficient for reliable SARS-CoV-2 detection. In this study, we developed a SERS-based microdroplet sensor to dramatically improve the LoD and reproducibility of SARSCoV-2 detection. Raman signals were measured for SERS nanotags in 140 droplets passing through a laser focal volume fixed at the center of the channel for 15 s. A comparison of the Raman signals of SERS nanotags measured in a microtube with those measured for multiple droplets in the microfluidic channel revealed that the LoD and coefficient of variation significantly improved from 36 to 0.22 PFU/mL and 21.2% to 1.79%, respectively. This improvement resulted from the ensemble average effects because the signals were measured for SERS nanotags in multiple droplets. Moreover, the total assay time decreased from 30 to 10 min. A clinical test was performed on patient samples to evaluate the clinical efficacy of the SERS-based microdroplet sensor. The assay results agreed well with those measured by the reverse transcription-polymerase chain reaction (RT-PCR) method. The proposed SERS-based microdroplet sensor is expected to be used as a new point-of-care diagnostic platform for quick and accurate detection of SARS-CoV-2 in the field.

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