# An Electrochemical Self-Monitoring Device for Rapid Nucleic Acid Based Testing of HIV-1

> **NIH NIH N43** · VITRUVIAN BIO, LLC · 2024 · $299,968

## Abstract

Rapid Diagnostic Assays for Self-Monitoring of Acute or Rebound HIV-1 Infection: The goal of this program is to develop low-cost, rapid diagnostic assays needed to enable untrained individuals to test for HIV-1 infection during the earliest stages of initial infection or during loss of viral suppression in chronic treated infection – times when antibody responses are not an accurate surrogate for viral load. Assays will be designed for self-testing at home (or in other locations), so that individuals collect their own samples, perform the test, and read the results without the need to send a sample to a laboratory. The assay should be easy to be carried out and designed for use by individuals who are at risk of HIV infection, including those taking pre-exposure prophylaxis (PrEP), who wish to detect HIV infection as early as possible, as well as people living with HIV (PLWH) who wish to detect viral spikes or rebound either while on antiretroviral therapy or during treatment interruption. The goal of this contract is to develop a home-based HIV-1 viral load detection assay using microfluidics-based electrochemical sensing of two biomarkers: viral HIV-1 RNA and MS2 bacteriophage RNA.

## Key facts

- **NIH application ID:** 11172341
- **Project number:** 75N93024C00042-0-9999-1
- **Recipient organization:** VITRUVIAN BIO, LLC
- **Principal Investigator:** ANGANA SENPAN
- **Activity code:** N43 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $299,968
- **Award type:** —
- **Project period:** 2024-08-01 → 2025-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/11172341

## Citation

> US National Institutes of Health, RePORTER application 11172341, An Electrochemical Self-Monitoring Device for Rapid Nucleic Acid Based Testing of HIV-1 (75N93024C00042-0-9999-1). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/11172341. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*