A Quantitative Point-of-Need Assay for the Assessment of Vitamin D3 Deficiency.

Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY, 14853, USA. School of Applied and Engineering Physics, Cornell University, 526 Campus Road, 409 Weill Hall, Ithaca, NY, 14853, USA. Institute for Nutritional Sciences, Global Health, and Technology (INSiGHT), Cornell University, Ithaca, NY, 14853, USA. smehta@cornell.edu. Division of Nutritional Sciences, Cornell University, Ithaca, NY, 14853, USA. smehta@cornell.edu. Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY, 14853, USA. de54@cornell.edu. Institute for Nutritional Sciences, Global Health, and Technology (INSiGHT), Cornell University, Ithaca, NY, 14853, USA. de54@cornell.edu.

Scientific reports. 2017;(1):14142

Abstract

Vitamin D is necessary for the healthy growth and development of bone and muscle. Vitamin D deficiency, which is present in 42% of the US population, is often undiagnosed as symptoms may not manifest for several years and long-term deficiency has been linked to osteoporosis, diabetes and cancer. Currently the majority of vitamin D testing is performed in large-scale commercial laboratories which have high operational costs and long times-to-result. Development of a low-cost point-of-need assay could be transformative to deficiency analysis in limited-resource settings. The best biomarker of vitamin D status, 25hydroxyvitamin D3 (25(OH)D3), however, is particularly challenging to measure in such a format due to complexities involved in sample preparation, including the need to separate the marker from its binding protein. Here we present a rapid diagnostic test for the accurate, quantitative assessment of 25(OH)D3 in finger-stick blood. The assay is accompanied by a smartphone-assisted portable imaging device that can autonomously perform the necessary image processing. To achieve accurate quantification of 25(OH)D3, we also demonstrate a novel elution buffer that separates 25(OH)D3 from its binding protein in situ, eliminating the need for sample preparation. In human trials, the accuracy of our platform is 90.5%.

Methodological quality

Publication Type : Clinical Trial

Metadata

MeSH terms : Vitamin D Deficiency