Optesthesia Inspired Chroma Analysis for Rapid Chromatic Concentration Determination

doi:10.19894/j.issn.1000-0518.210459

Chinese Journal of Applied Chemistry ›› 2022, Vol. 39 ›› Issue (1): 196-204.DOI: 10.19894/j.issn.1000-0518.210459

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Optesthesia Inspired Chroma Analysis for Rapid Chromatic Concentration Determination

LIU Zhi-Hao,TAN Xiao-Qing,LIANG Yong-Peng,XIA Chao,MENG Jian-Xin(),LI Feng-Yu()

College of Chemistry and Materials Science，Guangdong Provincial Key Laboratory of Functional Supramolecular Coordination Materials and Applications，Jinan University，Guangzhou 510632，China

Received:2021-09-09 Accepted:2021-11-11 Published:2022-01-01 Online:2022-01-10
Contact: Jian-Xin MENG,Feng-Yu LI
About author:llifengyu@jnu.edu.cn； tmjx@jnu.edu.cn
Supported by:
the National Natural Science Foundation of China(21874056);the National Key Research and Development Program(2016YFC1100502);Guangdong Provincial Key Laboratory of Functional Supramolecular Coordination Materials and Applications

Abstract

Abstract:

The application of spectrophotometry is limitted by its instrumental operation and serial concentration sample investigations for obtaining the concentration dependence linear diagram. With enormous and increasing requirements of daily health or clinic detection and field environment monitoring， rapid and facile approach with accessible equipment is desired. Inspired by human optesthesia chroma recognition， a deep learning assisted photographing colorimetry method was designed to achieve rapid colored multi-analytes quantitative analysis in this paper. The chroma， brightness and photographic information of the samples could be corresponded with their concentrations. Compared with the traditional spectrophotometry， the deep learning assisted photographing colorimetry improved the detection ability of single component system and multi-component system， which not only significantly widens the concentration detection range， but also improves the detection ability. The detection range of KMnO₄ single component system was promoted from 1×10^-5~9×10^-4 mol/L of spectrophotometry to 1×10^-6~8×10^-2 mol/L of photographic colorimetry. The detection range of Co²⁺ and Ni²⁺ multi-component system was promoted from 1×10^-2~1×10^-1 mol/L of spectrophotometry to 1×10^-2~1.0 mol/L of photographic colorimetry. Based on the big-data base of deep learning assisted photographing， the concentration of subsequent unknown samples can be quickly detected， which provides a fast and convenient quantitative analysis means for family clinical detection and field monitoring.

Key words: Spectrophotometry, Optesthesia inspired, Angular cuvette, Deep learning, Wide-range concentration analysis, Multi-analysis

CLC Number:

O657

LIU Zhi-Hao, TAN Xiao-Qing, LIANG Yong-Peng, XIA Chao, MENG Jian-Xin, LI Feng-Yu. Optesthesia Inspired Chroma Analysis for Rapid Chromatic Concentration Determination[J]. Chinese Journal of Applied Chemistry, 2022, 39(1): 196-204.

Figures/Tables 5

Fig.1 Bionic photographing colorimetric learning based on optesthesia inspired chroma analysis（A） Optesthesia chroma recognition （human eyes observe samples of different concentrations， which are transmitted to the cerebral cortex through optesthesia nerve cells to form optesthesia perception， so as to realize semi-quantitative analysis of samples）；（B） Photographing colorimetric learning （camera captures and collects a large number of pictures， inputs them into convolutional neural network to learn human optesthesia system， and realizes quantitative analysis of samples based on chromaticity and brightness of samples）

Fig.2 Comparison of detection concentration range of KMnO4 by spectrophotometry and photographic colorimetry（A） Concentration dependence of 1×10-6~9×10-2 mol/L KMnO4 detection with UV-Vis spectrophotometry analysis；（B） Concentration dependence of 1×10-6~9×10-2 mol/L KMnO4 detection with photographic colorimetric analysis

Fig.3 Photograph table of rectangular cuvette （above） and angle cuvette （below） images for various KMnO4 solutions at 1×10-7~8×10-2 mol/L （unit： mol/L）

Fig.4 Actual vs predicted concentration for the test set of KMnO4 detection at 1×10-6 ~ 8×10-2 mol/L（A） Rectangular cuvette performed 97.83% accuracy；（B） Angle cuvette achieved 99.88% accuracy

Fig.5 Concentration dependence of Co2+ and Ni2+ mixed solutions via colorimetric photography or spectrophotometry（A） The angle cuvette to photographic colorimetric diagram of 1×10-2~1 mol/L Co2+, Ni2+ mixed solution; （B） The UV?Vis spectra analysis map of 1×10-2~1 mol/L Co2+ (a), Ni2+ (b) mixed solution; the absorption of Co2+ (a) at 513 nm, or Ni2+ (b) at?395 nm was monitored; （C） The photographic colorimetric map of 1×10-2~1 mol/L Co2+ (red spot), Ni2+ (green spot) mixed solution. The 99.01% accuracy was achieved

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Optesthesia Inspired Chroma Analysis for Rapid Chromatic Concentration Determination

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