TY - JOUR

T1 - Digital color analysis for colorimetric signal processing

T2 - Towards an analytically justified choice of acquisition technique and color space

AU - Tiuftiakov, Nikolai Yu

AU - Kalinichev, Andrey V.

AU - Pokhvishcheva, Nadezhda V.

AU - Peshkova, Maria A.

N1 - Publisher Copyright: © 2021 Elsevier B.V.

PY - 2021/10/1

Y1 - 2021/10/1

N2 - Digital color analysis (DCA) of colorimetric and luminescent assays is rapidly spreading in analytical routine. However, the inconsistency of the illumination systems and reading devices, as well as the imperfect choice of the color components for DCA, may result in significant reduction of signal amplitude and in overall response deterioration. An adequate comparison of existing approaches to detection and processing of colorimetric signals in terms of precision of the acquired data is necessary in order to develop an unequivocal criterion for the device and color space selection. We show here that the robustness parameter can serve as such a criterion regardless of the analytical task, the origin of the colorimetric signal/response and the available instrumentation, and propose a comprehensive approach to optimization of the light source, the reading device, and the color space for the analysis of colorimetric assays. Combinations of incandescent lamps with a digital camera as well as red, green and blue LEDs with a monochrome camera were used for signal acquisition. Normalized Red, Green, Blue (RGB) and Hue, Saturation, Value (HSV) color spaces were used for DCA. Each combination of acquisition technique and processing algorithm was tested with a set of chromoionophore-based polymeric optodes, and characterized in terms of robustness.

AB - Digital color analysis (DCA) of colorimetric and luminescent assays is rapidly spreading in analytical routine. However, the inconsistency of the illumination systems and reading devices, as well as the imperfect choice of the color components for DCA, may result in significant reduction of signal amplitude and in overall response deterioration. An adequate comparison of existing approaches to detection and processing of colorimetric signals in terms of precision of the acquired data is necessary in order to develop an unequivocal criterion for the device and color space selection. We show here that the robustness parameter can serve as such a criterion regardless of the analytical task, the origin of the colorimetric signal/response and the available instrumentation, and propose a comprehensive approach to optimization of the light source, the reading device, and the color space for the analysis of colorimetric assays. Combinations of incandescent lamps with a digital camera as well as red, green and blue LEDs with a monochrome camera were used for signal acquisition. Normalized Red, Green, Blue (RGB) and Hue, Saturation, Value (HSV) color spaces were used for DCA. Each combination of acquisition technique and processing algorithm was tested with a set of chromoionophore-based polymeric optodes, and characterized in terms of robustness.

KW - Colorimetry

KW - Digital color analysis

KW - Optical sensors

KW - Polymeric optodes

KW - RGB

KW - Robustness

KW - ANALYTICAL-CHEMISTRY

KW - OPTODES

KW - CAMERA

KW - SENSOR

KW - IRON

KW - WATER

UR - http://www.scopus.com/inward/record.url?scp=85107988478&partnerID=8YFLogxK

U2 - 10.1016/j.snb.2021.130274

DO - 10.1016/j.snb.2021.130274

M3 - Article

AN - SCOPUS:85107988478

VL - 344

JO - Sensors and Actuators, B: Chemical

JF - Sensors and Actuators, B: Chemical

SN - 0925-4005

M1 - 130274

ER -