bioRxiv Science⌕ Search

Biology subjects

Zaraket, H.

Publications and source records attributed to Zaraket, H..

2 recordsLinked to original sources

Rapid SARS-CoV-2 Detection Using High-Sensitivity Thickness Shear Mode Sensors

The COVID-19 pandemic, caused by the SARS-CoV-2 virus, has emphasized the urgent need for accurate and readily available diagnostic tools. Conventional diagnostic methods, such as reverse transcription real-time polymerase chain reaction (RT-qPCR), are often labor-intensive and time-consuming, which highlights the necessity for rapid point-of-care diagnostic solutions. This study introduces an innovative, low-cost, and highly sensitive diagnostic platform for swift COVID-19 detection. Our platform utilizes the mass sensing properties of thickness shear mode (TSM) transducers to detect and quantify the SARS-CoV-2 nucleocapsid protein through polyethylene glycol (PEG)-based chemistry (1). To confirm surface functionalization and evaluate the effects of the virus lysis buffer, we employed surface characterization techniques including Digital Holographic Microscopy (DHM), Scanning Electron Microscopy (SEM) with Energy-Dispersive X-ray spectroscopy (EDX), and Raman spectroscopy. Sensitivity tests with heat-inactivated SARS-CoV-2 samples demonstrated a sensitivity of about 0.256 Hz/TCID50/mL and a limit of detection (LOD) of roughly 150 TCID50/mL. Specificity was verified through cross-reactivity testing. Our detailed characterization and sensitivity analysis underscore the platforms reliability, making it a promising candidate for efficient and accessible COVID-19 diagnosis at the point of care.

bioengineering↗

Genomic Surveillance of SARS CoV2 in COVID-19 vaccinated healthcare workers in Lebanon.

The emergence of SARS-CoV-2 variants including the Delta and Omicron along with waning of vaccine-induced immunity over time contributed to increased rates of breakthrough infection specifically among healthcare workers (HCWs). SARS-CoV-2 genomic surveillance is an important tool for timely detection and characterization of circulating variants as well as monitoring the emergence of new strains. Our study is the first national SARS-CoV-2 genomic surveillance among HCWs in Lebanon. We collected 250 samples from five hospitals across Lebanon between December 2021 and January 2022. We extracted viral RNA and performed whole genome sequencing using the Illumina NextSeq 500 platform. A total of 133 (57.1%) samples belonging to the Omicron (BA.1.1) sub-lineage were identified, as well as 44 (18.9%) samples belonging to the BA.1 sub-lineage, 28 (12%) belonging to the BA.2 sub-lineage, and only 15 (6.6%) samples belonging to the Delta variant sub-lineage B.1.617.2. These results show that Lebanon followed the global trend in terms of circulating SARS-CoV-2 variants with Delta rapidly replaced by the Omicron variant. This study underscores the importance of continuous genomic surveillance programs in Lebanon for the timely detection and characterization of circulating variants. The latter is critical to guide public health policy making and to timely implement public health interventions.

genomics↗