A fully automated colorimetric sensing device using smartphone for biomolecular quantification

Sibasish Dutta; Pabitra Nath

doi:10.1117/12.2251101

21 March 2017 A fully automated colorimetric sensing device using smartphone for biomolecular quantification

Sibasish Dutta, Pabitra Nath

Author Affiliations +

Proceedings Volume 10055, Optics and Biophotonics in Low-Resource Settings III; 1005512 (2017) https://doi.org/10.1117/12.2251101
Event: SPIE BiOS, 2017, San Francisco, California, United States

Abstract

In the present work, the use of smartphone for colorimetric quantification of biomolecules has been demonstrated. As a proof-of-concept, BSA protein and carbohydrate have been used as biomolecular sample. BSA protein and carbohydrate at different concentrations have been treated with Lowry's reagent and Anthrone's reagent respectively . The change in color of the reagent-treated samples at different concentrations have been recorded with the camera of a smartphone in combination with a custom designed optomechanical hardware attachment. This change in color of the reagent-treated samples has been correlated with color channels of two different color models namely RGB (Red Green Blue) and HSV (Hue Saturation and Value) model. In addition to that, the change in color intensity has also been correlated with the grayscale value for each of the imaged sample. A custom designed android app has been developed to quantify the bimolecular concentration and display the result in the phone itself. The obtained results have been compared with that of standard spectrophotometer usually considered for the purpose and highly reliable data have been obtained with the designed sensor. The device is robust, portable and low cost as compared to its commercially available counterparts. The data obtained from the sensor can be transmitted to anywhere in the world through the existing cellular network. It is envisioned that the designed sensing device would find wide range of applications in the field of analytical and bioanalytical sensing research.

Citation Download Citation

Sibasish Dutta and Pabitra Nath "A fully automated colorimetric sensing device using smartphone for biomolecular quantification", Proc. SPIE 10055, Optics and Biophotonics in Low-Resource Settings III, 1005512 (21 March 2017); https://doi.org/10.1117/12.2251101

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