No power, at home COVID diagnostic with tactile readout

无需电源，通过触觉读数在家进行新冠肺炎诊断

• 批准号: 10649019
• 负责人: Charles B. Dhong
• 金额: $ 23.02万
• 依托单位: UNIVERSITY OF DELAWARE
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-07-01 至 2025-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10649019
• 关键词: 2019-nCoV; Antibodies; Antigens; Auditory; Binding; Blindness; COVID diagnostic; COVID test; COVID-19; Chemistry; Collaborations; Color; Computational Technique; Computer Models; Computer Simulation; Contrast Media; Detection; Devices; Diagnostic; Discrimination; Disease; Engineering; Ensure; Esterification; Event; Feedback; Film; Formulation; Friction; Glass; Gold Colloid; Home; Human; Image; Immunoassay; Individual; Internet; Lateral; Liquid substance; Mechanics; Methods; Molecular; Molecular Computations; Monoclonal Antibodies; Morphology; Outcome; PSSO3; Patch Tests; Pattern; Persons; Phase Transition; Physiological; Polymers; Pregnancy Tests; Privacy; Proteins; Psychophysics; Reader; Reporting; Roentgen Rays; SARS-CoV-2 antigen; SARS-CoV-2 negative; Saliva; Sampling; Science; Self-Help Devices; Signal Transduction; Silanes; Solid; Sorting; Structure; Surface; Tactile; Technology; Test Result; Testing; Texture; Thinness; Touch sensation; Training; United States National Institutes of Health; Variant; Vision; Visual; Visual impairment; Visually Impaired Persons; Water; antibody conjugate; antigen binding; blind; chemical bond; comparative; coronavirus disease; design; home test; interest; mobile application; molecular dynamics; molecular scale; monolayer; particle; phase change; prototype; rapid testing; response; saliva sample; success; surface coating; tool; usability

PROJECT SUMMARY Current at-home COVID tests are not accessible to people with low vision or blindness. To interpret results, people with low vision or blindness may need a sighted assistant, an internet-based image recognition tool, or some other sort of powered implement. Instead of adapting to technologies developed for sighted people, we propose a new platform which provides a no-power tactile readout, i.e., a texture change, to interpret test results. Although COVID antigens are at relatively low concentrations in human saliva, by relying on surface chemistry effects, a relatively small amount of sample can be designed to cause a significant texture change. This project will develop a new class of antibody-conjugated polymers which, in a saliva sample, bind to COVID antigen. In conjunction, we will also develop a test surface designed to maximize tactile feedback upon antigen binding. Upon binding to the test surface, a COVID positive surface will feel distinctive from the negative control, like distinguishing between plastic and glass. To optimize polymer design and test surface design, we use a combination of materials characterization, mechanical testing, human testing, and computational techniques. The project culminates by having low vision or blind users test the device with synthetic saliva solutions containing COVID antigen, present as innocuous protein isolates. Subjects will receive synthetic saliva with and without COVID antigen, and using our platform, will be asked to determine if the synthetic saliva did contain the COVID antigen. As a platform, the technology is not limited to COVID, but could be adapted to either new variants or other use cases, such as pregnancy tests. Our team's expertise combines accessibility experts, synthetic chemists, human psychophysics, computational simulations, surface science, and mechanics. To maximize project success, the project includes people with visual impairments at all stages to ensure practicality.

项目总结