posted on 2020-05-19, 14:53authored byY Zhao, SY Choi, J Lou-Franco, JLD Nelis, Huiyu Zhou, C Cao, K Campbell, C Elliott, K Rafferty
Color analysis has been essential for the interpretation of optical readouts, e.g. colorimetry, fluorescence, spectroscopy, and scanometry. However, existing colorimetric readers can hardly eliminate the color interference of colored solutions, e.g., interpreting pH test strips to assess the pH value of red wine. This paper introduces a smartphone modulated colorimetric reader that is compatible with most smartphone models and a novel color subtraction algorithm that eliminates color interferences due to colored solutions. Experiments were conducted to validate the effectiveness of the developed reader and algorithm on evaluating pH test strips produced from transparent and colored solutions using multiple smartphone models. Applicability of the developed reader was demonstrated through its interpretation of pH test strips measuring pH values of colored and non-transparent food samples including red wine and milk.
Funding
This project has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie-Sklodowska-Curie grant agreement No 720325, FoodSmartphone. Thanks to Matthew Ellis and Bhaskar Das for their assistances during the experiments. S. Y. Choi and C. Cao thank the support from the Agri-Food Quest Competence Centre R&D funding programme sponsored by Invest Northern Ireland Agency (InvestNI).
History
Citation
Y. Zhao et al., "Smartphone Modulated Colorimetric Reader with Color Subtraction," 2019 IEEE SENSORS, Montreal, QC, Canada, 2019, pp. 1-4, doi: 10.1109/SENSORS43011.2019.8956565.
Source
2019 IEEE SENSORS, Montreal, QC, Canada
Version
AM (Accepted Manuscript)
Published in
IEEE SENSORS
Publisher
Institute of Electrical and Electronics Engineers (IEEE)