# Detection and Automatic Privacy-Protected Contact Tracing System Designed for COVID-19 > **NIH NIH U01** · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · 2022 · $252,631 ## Abstract Project Summary/Abstract The COVID-19 pandemic has rapidly spread across the world, bringing death, illness, disruption to daily life, and economic crisis to businesses and individuals. The situation has been exacerbated after the schools and companies reopened due to economic pressure. One of the key failures in COVID-19 containment is underlined by the inability of our healthcare system in real-time detection in point-of-care (POC) and end-user settings and precise tracing with privacy protection of active infections. The fundamental limitations of current gene-based assays stem from their reliance upon amplification and detection of the viral genetic materials even if there were no intact/infectious viruses. These tests require labor-intensive, laboratory-based sample preparation protocols for virus lysis, extraction of genetic materials, purification of the isolated materials, thermal cycling for enzymatic amplification of viral nucleic acid sequences, and interpretation of complex results by professionals. To accurately determine the infectivity of the infected individuals, contaminated objects and environments, and provide guidance for patients, public and authorities to better manage treatment and containment, we seek a new paradigm for rapid and direct pathogen detection and identification in which the intact virions are directly recognized through their distinct surface epitope features, and the resultant fluorescent signal is immediately captured by an end-user smartphone, followed by automatic data transition and event tracing in a blockchain-encrypted manner. To achieve specific recognition of SARS-CoV-2 virions, we customized a designer DNA nanostructure (DDN)-based capture probe that harbors a macromolecular “net” whose vertices precisely match the intra- and inter-spatial pattern of SARS-CoV-2 trimeric spike glycoprotein clusters, and integrates a net-shaped array of SARS-CoV-2 spike specific-targeting aptamers. This aptamer-DDN is designed for maximum affinity and specificity binding with spikes on intact virions in a polyvalent and pattern-matching fashion. Once bound to intact virions, the DNA “nets” trigger the release of fluorescence. This fluorescent signal can be readily and automatically detected by a membrane-shaped and smartphone-based fluorimeter attached to the end-users' phone cameras. The acquired results will be associated with user device IDs that are cyber-protected before tracing. We propose to combine DDN capture probes and a smartphone device to develop and demonstrate a rapid, room temperature, single-step, virus- specific, and ultrasensitive detection of SARS-CoV-2 virus, in which the detection results can be acquired within 5 minutes upon exposure, at the user end, allowing tracing the presence of viruses without affecting user privacy. The signal to result transition, result to ID association, individual track and interacting network tracing will be blockchain-encrypted to ensure information security for in... ## Key facts - **NIH application ID:** 10750367 - **Project number:** 7U01AA029348-03 - **Recipient organization:** UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN - **Principal Investigator:** Lu Peng - **Activity code:** U01 (R01, R21, SBIR, etc.) - **Funding institute:** NIH - **Fiscal year:** 2022 - **Award amount:** $252,631 - **Award type:** 7 - **Project period:** 2020-12-21 → 2024-08-31 ## Primary source NIH RePORTER: https://reporter.nih.gov/project-details/10750367 ## Citation > US National Institutes of Health, RePORTER application 10750367, Detection and Automatic Privacy-Protected Contact Tracing System Designed for COVID-19 (7U01AA029348-03). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10750367. Licensed CC0. --- *[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*