# One Test, One Kit for Identifying Active Hepatitis C Virus (HCV) Infection at Home

> **NIH NIH N43** · ZYMERON CORPORATION · 2022 · $400,000

## Abstract

Zymeron aims to develop user-friendly technologies and devices to achieve Hepatitis C Virus (HCV) testing at
home. Without special training required, anyone can prepare an HCV RNA sample from fingerprick blood for
subsequent isothermal amplification and paper-based nanoenhanced sensitive detection just by following
simple instructions. The two innovations that Zymeron will develop to achieve such an aim are (i) an easy to
use blood processing device that allows an end user to collect blood from fingerprick and separate plasma
automatically; and (ii) a novel paper-based test cassette that integrates multistep nucleic acids amplification
testing (NAATs) in one single device. Based on the success of using these proven innovations developed inhouse
for Point-of-Care (POC) testing, Zymeron will further advance these technologies to be suitable for
home testing of HCV, providing the simplest routine operation for any potential end user to run the kit all by
themselves. For a long-term goal, the innovation invented in this proposal will not only benefit specifically
for HCV screening but also for other at-home and POC tests in resource-limited settings that rely upon rapid
NAAT of plasma samples.

## Key facts

- **NIH application ID:** 10709152
- **Project number:** 75N91022C00029-0-9999-1
- **Recipient organization:** ZYMERON CORPORATION
- **Principal Investigator:** JASON ZHOU
- **Activity code:** N43 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $400,000
- **Award type:** —
- **Project period:** 2022-09-19 → 2023-09-18

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10709152

## Citation

> US National Institutes of Health, RePORTER application 10709152, One Test, One Kit for Identifying Active Hepatitis C Virus (HCV) Infection at Home (75N91022C00029-0-9999-1). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10709152. Licensed CC0.

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