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- In relation to this article, we declare that there is no conflict of interest.
- Publication history
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Received April 28, 2026
Revised July 15, 2026
Accepted July 29, 2026
Available online October 19, 2026
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This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits
unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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발색반응을 활용하는 현장 신속 분석 방법
Rapid, On-site Analytical Method Utilizing Colorimetric Reactions
https://doi.org/10.9713/kcer.2026.64.4.105175
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Abstract
신규 개발된 산소계 및 염소계 거품형 제독제에 대한 온도와 제독제 투입량이 분해 성능에 미치는 영향을 반응표면 분석법 (RSM)을 통해 정량화하였다. 또한 염소계 거품형 제독제의 실험 결과 반응 속도론(kinetics)을 통해 온도상승에 따른 제독속도 증가를 분석하였다. p-nitrophenol을 이탈기로 가지는 유사 또는 실제 작용제의 경우 제독반응 후에 약 400nm 파장에서 발색을 하게 되는데, 이는 현장 분석 시 CCD기반의 장치를 통한 신속한 색변화분석을 통해 오염정도 및 제독여부를 시각적 정량적 평가를 가능하게 한다. 색 분석 수행 시 외부 광원에 의한 색 왜곡 문제를 해결하기 위해, 다양한 조명환경에서 발생한 RGB 데이터의 편차를 CIE L*a*b* 색 공간 정규화 알고리즘으로 보정하였다. 이를 통해 다른 광원 조건에서도 시료 고유의 농도 정보가 통계적으로 유효한 범위 내에서 하나의 표준 검량선으로 수렴됨을 확인하였다. 최종적으로 실제 콘크리트 및 CARC 도장 시편을 활용한 실증테스트에서 제독 후 거즈로 회수된 제독 결과와 잔류 유사 작용제 양에 대한 분석을 통해 본 제안이 복잡한 현장 환경에서 효과적인 도구로 쓰일 수 있는 가능성을 확인하였다.
This study presents an integrated analytical framework combining colorimetric reactions with optical normalization for the rapid evaluation of decontamination efficiency against chemical agent surrogates (pNPDPP). Using Response Surface Methodology (RSM), we quantified the synergistic effects of temperature and dosage on the performance of novel oxygen-based and chlorine-based foam decontaminants. For chlorine-based foams, kinetic analysis confirmed accelerated degradation as temperatures and decontaminant quantities increased. Specifically, decontaminating pNPDPP triggers a distinct ~400 nm colorimetric response. By utilizing CCD-based field devices, this mechanism enables rapid visual and quantitative assessment of contamination. To address the challenges of light-induced color distortion, RGB data were corrected using a CIE L*a*b* normalization algorithm ensuring sample concentrations converged into a statistically valid master calibration curve despite ambient lighting variances. Field tests on concrete and CARC-coated substrates validated the framework’s robustness, demonstrating its potential as a precise tool for decontamination verification within complex field environments.
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