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Author Spotlight: An Alternative Approach to Protein Quantification by Bradford Assay Using a Smartphone
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Protein, enzyme and carbohydrate quantification using smartphone through colorimetric digitization technique.

Sibasish Dutta1, Gunjan Prasad Saikia2, Dhruva Jyoti Sarma3

  • 1Applied Photonics and Nanophotonics Laboratory, Department of Physics, Tezpur University, Napaam, Assam, 784028, India.

Journal of Biophotonics
|June 1, 2016
PubMed
Summary

This study shows how smartphones can quantify biological macromolecules like proteins and carbohydrates using colorimetric analysis. The results match standard spectrophotometer data, offering a low-cost bio-analytical tool.

Keywords:
BiomoleculesHSV color spacecolorimetrysmartphone

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Area of Science:

  • Biotechnology
  • Analytical Chemistry
  • Mobile Health

Background:

  • Colorimetric quantification is crucial for analyzing biological macromolecules.
  • Traditional methods often require expensive laboratory equipment.
  • There is a need for accessible and cost-effective bio-analytical tools.

Purpose of the Study:

  • To demonstrate smartphone utilization as a detection platform for colorimetric quantification.
  • To develop a custom Android application for estimating biological macromolecule concentrations.
  • To validate smartphone-based quantification against standard spectrophotometer measurements.

Main Methods:

  • Utilized the V-channel of the HSV color space for analysis.
  • Investigated quantification of Bovine Serum Albumin (BSA) protein, catalase enzyme, and D-glucose.
  • Developed and employed a custom Android application for data processing.
  • Compared smartphone sensor results with spectrophotometer absorbance data.

Main Results:

  • Successfully quantified BSA protein, catalase enzyme, and D-glucose using a smartphone.
  • Smartphone-based quantification results showed similarity to spectrophotometer data.
  • The developed sensor is demonstrated to be low-cost and robust.

Conclusions:

  • Smartphones can serve as effective platforms for colorimetric quantification of biological macromolecules.
  • The developed smartphone sensing system offers a viable, cost-effective alternative to traditional laboratory methods.
  • This technology has the potential to advance bio-analytical investigations across various fields.