SHEAR Saliva Collection Device Augments Sample Properties for Improved Analytical Performance

Autor: Shang Wei Song, Rashi Gupta, Jothilingam Niharika, Xinlei Qian, Yue Gu, V Vien Lee, Yoann Sapanel, David Michael Allen, John Eu Li Wong, Paul A MacAry, Dean Ho, Agata Blasiak
Rok vydání: 2022
DOI: 10.1101/2022.07.07.22277204
Popis: Despite human saliva representing a convenient and non-invasive clinical substrate for disease diagnosis and biomonitoring, its widespread utilization has been hampered by technical challenges. The non-Newtonian, heterogenous and highly viscous nature of clinical saliva samples complicate the development of automated fluid handling processes that are vital for accurate diagnoses. Furthermore, conventional saliva processing methods are either resource and/or time intensive precluding certain testing capabilities in low- and middle-income countries, with these challenges aggravated during a pandemic outbreak. The conventional approaches can also potentially alter analyte structure, reducing application opportunities in Point-of-Care diagnostics. To overcome these challenges, we introduce the SHEAR saliva collection device that preprocesses saliva for enhanced interfacing with downstream assays. We demonstrate the device’s impact on reducing saliva’s viscosity, improving sample uniformity and, increasing diagnostic performance of COVID-19 Rapid Antigen Tests. Importantly, in addition to reporting technical advances and to address downstream implementation factors, we conducted a formal user experience study, which resulted in generally positive comments. Effective implementation of this device could be of support to realize the potential of saliva, particularly in large-scale and/or resource-limited settings for global and community health diagnostics.
Databáze: OpenAIRE