Critical importance of RGB color space specificity for colorimetric bio/chemical sensing: A comprehensive study
The use of the RGB color model in colorimetric chemical sensing via imaging techniques is widely prevalent in the literature. However, the lack of specificity in the selection of RGB color space during capture and analysis presents a significant challenge in creating standardised methods for this fi...
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Veröffentlicht in: | Talanta (Oxford) 2024-01, Vol.266 (Pt 1), p.124957-124957, Article 124957 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | The use of the RGB color model in colorimetric chemical sensing via imaging techniques is widely prevalent in the literature. However, the lack of specificity in the selection of RGB color space during capture and analysis presents a significant challenge in creating standardised methods for this field and possible discrepancies. In this study, we conducted a comprehensive comparison and contrast of a total of 68 RGB color spaces to evaluate their respective impacts on colorimetric bio/chemical sensing. We explore the impact of dynamic range, sensitivity, and limit of detection, and show that the lack of specificity in RGB color space selection can significantly impact colorimetric chemical sensing by 42–77%. We also explore the impact of underlying RGB comparisons and demonstrate a further 18.3% discrepancy between RGB color spaces. By emphasising the importance of proper RGB color space selection and handling, our findings contribute to a better understanding of this critical area and present valuable opportunities for future research. We further provide valuable insights for creating standardised methods in this field, which can be utilised to avoid discrepancies and ensure accurate and reliable analysis in colorimetric bio/chemical sensing.
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•Unspecified RGB color spaces can compromise chemical sensing via imaging techniques.•Sensory characteristics significantly affected by RGB color space selection (42–77%).•Conversion between RGB spaces can lead to further discrepancies (18%).•68 RGB color spaces compared - proper selection is critical for accurate analysis.•Proposed method herein can contribute to standardised methods/analysis in the field. |
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ISSN: | 0039-9140 1873-3573 |
DOI: | 10.1016/j.talanta.2023.124957 |