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Vlad Oncescu

Researcher at Cornell University

Publications -  12
Citations -  1234

Vlad Oncescu is an academic researcher from Cornell University. The author has contributed to research in topics: Proton exchange membrane fuel cell & Electrode. The author has an hindex of 10, co-authored 12 publications receiving 1133 citations.

Papers
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Journal ArticleDOI

Smartphone based health accessory for colorimetric detection of biomarkers in sweat and saliva

TL;DR: A smartphone based accessory and method for the rapid colorimetric detection of pH in sweat and saliva is presented and trials to measure salivary pH over time are performed to monitor the effects of diet on oral health risks.
Journal ArticleDOI

Cholesterol testing on a smartphone

TL;DR: Through a series of human trials, the system can accurately quantify total cholesterol levels in blood within 60 s by imaging standard test strips and is optimized to improve measurement sensitivity and reproducibility across different individual smartphones.
Journal ArticleDOI

Smartphone technology can be transformative to the deployment of lab-on-chip diagnostics

TL;DR: It is believed that the widespread availability of smartphone technology and the capabilities they offer in terms of computation, communication, social networking, and imaging will be transformative to the deployment of lab-on-a-chip type technology both in the developed and developing world.
Journal ArticleDOI

A smartphone platform for the quantification of vitamin D levels.

TL;DR: A system for rapid quantification of vitamin D levels on a smartphone using a novel gold nanoparticle-based immunoassay that can be used to accurately measure physiological levels of 25-hydroxyvitamin D with accuracy better than 15 nM and a precision of 10 nM is presented.
Patent

Smartphone-based apparatus and method for obtaining repeatable, quantitative colorimetric measurement

TL;DR: In this article, the authors present a method for obtaining a point-of-collection, selected quantitative indicia of an analyte on a test strip using a smartphone, which involves imaging the test strip on which a colorimetric reaction of a target sample has occurred due to test strip illumination by the smartphone.