Electrochemical Strategy for Low-Cost Viral Detection.
Marjon ZamaniJames M RobsonAndy FanMichael S BonoAriel L FurstCatherine M KlapperichPublished in: ACS central science (2021)
Sexually transmitted infections, including the human immunodeficiency virus (HIV) and the human papillomavirus (HPV), disproportionally impact those in low-resource settings. Early diagnosis is essential for managing HIV. Similarly, HPV causes nearly all cases of cervical cancer, the majority (90%) of which occur in low-resource settings. Importantly, infection with HPV is six times more likely to progress to cervical cancer in women who are HIV-positive. An inexpensive, adaptable point-of-care test for viral infections would make screening for these viruses more accessible to a broader set of the population. Here, we report a novel, cost-effective electrochemical platform using gold leaf electrodes to detect clinically relevant viral loads. We have combined this platform with loop-mediated isothermal amplification and a CRISPR-based recognition assay to detect HPV. Lower limits of detection were demonstrated down to 104 total copies of input nucleic acids, which is a clinically relevant viral load for HPV DNA. Further, proof-of-concept experiments with cervical swab samples, extracted using standard extraction protocols, demonstrated that the strategy is extendable to complex human samples. This adaptable technology could be applied to detect any viral infection rapidly and cost-effectively.
Keyphrases
- hiv positive
- human immunodeficiency virus
- antiretroviral therapy
- loop mediated isothermal amplification
- high grade
- hiv infected
- men who have sex with men
- cervical cancer screening
- hepatitis c virus
- south africa
- hiv aids
- sars cov
- label free
- low cost
- hiv testing
- gold nanoparticles
- high throughput
- real time pcr
- sensitive detection
- gene expression
- single molecule
- cell free
- ionic liquid
- polycystic ovary syndrome
- crispr cas
- pregnant women
- pregnancy outcomes
- genome wide
- genome editing
- type diabetes
- high resolution