Rehman Rabia, Abbas Asad, I Alsantali Reem, T Al-Thagafi Zahrah, E Al-Hazemi Maha, Mitu Liviu, Alakhras Fadi
School of Chemistry, University of the Punjab, Quaid-e-Azam Campus, Lahore, 54590, Pakistan.
Department of Chemistry, University of Engineering and Technology, Lahore campus, Lahore, Pakistan.
Environ Monit Assess. 2025 Jul 14;197(8):913. doi: 10.1007/s10661-025-14364-0.
The main objective of this work is to introduce "image scanning densitometry" for the elimination of drawbacks of the spectrometric methods, which are conventionally used for analysis of metal ions in aqueous samples. This method is beneficial because a small amount of analyte was used for toxicological chemical analysis in medical diagnostics and environmental monitoring along with its portable nature for on-spot analysis by integrating AI technology with conventional methods. By using this method, colorimetric reactions are performed on TLC plates and results are quantified by digitizing the area of spots by using image scanning devices and specially developed software. The analyte concentration is proportional to the RGB (red, green, blue) color densities of the quantified spots. The raw color densities of the spots were transformed by using Kubelka-Munk transformation in results, which give information about the different dynamic ranges. Different metals, such as nickel (II), chromium (VI), and iron (II), were quantified by using their aqueous samples for monitoring toxic contaminants of water streams. The detection limits are 3.8, 3.94, and 6.78 ppm for Cr(VI), Ni(II), and Fe(II) correspondingly.
这项工作的主要目标是引入“图像扫描密度测定法”，以消除传统上用于分析水性样品中金属离子的光谱法的缺点。该方法具有优势，因为在医学诊断和环境监测中的毒理学化学分析中使用少量分析物，并且通过将人工智能技术与传统方法相结合，其便携性可用于现场分析。使用该方法时，在薄层色谱板上进行比色反应，并通过使用图像扫描设备和专门开发的软件对斑点面积进行数字化来量化结果。分析物浓度与量化斑点的RGB（红、绿、蓝）颜色密度成正比。结果中使用库贝尔卡-蒙克变换对斑点的原始颜色密度进行了转换，该变换给出了不同动态范围的信息。通过使用镍（II）、铬（VI）和铁（II）等不同金属的水性样品来监测水流中的有毒污染物。铬（VI）、镍（II）和铁（II）的检测限分别为3.8、3.94和6.78 ppm。
