Al-Jaf Sabah H, Omer Khalid M
Department of Chemistry, College of Science, University of Sulaimani, 46002, Sulaimani City, Kurdistan Region, Iraq; Department of Chemistry, College of Science, University of Garmian, Darbandikhan Road, 46021, Kalar City, Sulaimaniyah Province, Kurdistan of Iraq, Iraq.
Department of Chemistry, College of Science, University of Sulaimani, 46002, Sulaimani City, Kurdistan Region, Iraq.
Talanta. 2024 Mar 1;269:125433. doi: 10.1016/j.talanta.2023.125433. Epub 2023 Nov 23.
Instrumental and environmental fluctuations are common sources of error in smartphone-based optical detection, significantly affecting the accuracy of analytical measurements. In this regard, spotting the sample and reference simultaneously and in close proximity compensates for the fluctuations. This "dual-spot" design is similar to the double-beam technique used in spectrophotometry, which reduces fluctuations in the results. The underlying hypothesis is that any instrumental and/or environmental factors influencing the color intensity in the detection zones will similarly impact the color intensity in the control zone under the same conditions. To test our design, a ratiometric microfluidic paper-based analytical device (μPAD), functionalized with a mixture of green-emissive carbon dots (CDs) and red-emissive ethidium bromide, was developed for the selective detection of ascorbic acid (AA). The green emission of the CDs is quenched by both AA and Fe; NaF was thus loaded onto the 3D connector as a masking agent to remove the interference effect of the Fe ions. The color variations were monitored under a UV lamp, using a smartphone to capture the images, and the RGB intensities were processed using the Color Grab application. The proposed double-spot method greatly enhanced the analytical precision and accuracy of the device. A linear working range from 0 to 125 μM was obtained, and the limit of detection was 2.71 μM. The μPAD was successfully used for the detection of AA in human serum, with recoveries from 87.27 to 98.52 %.
仪器波动和环境波动是基于智能手机的光学检测中常见的误差来源,会显著影响分析测量的准确性。在这方面,同时且近距离地对样品和参比物进行点样可补偿波动。这种“双点”设计类似于分光光度法中使用的双光束技术,可减少结果中的波动。其基本假设是,在相同条件下,任何影响检测区域颜色强度的仪器和/或环境因素都会同样影响对照区域的颜色强度。为了测试我们的设计,开发了一种比率型微流控纸基分析装置(μPAD),它用绿色发光碳点(CDs)和红色发光溴化乙锭的混合物进行功能化,用于选择性检测抗坏血酸(AA)。CDs的绿色发射会被AA和Fe淬灭;因此将NaF作为掩蔽剂加载到3D连接器上,以消除Fe离子的干扰效应。在紫外灯下监测颜色变化,使用智能手机拍摄图像,并使用Color Grab应用程序处理RGB强度。所提出的双点方法大大提高了该装置的分析精度和准确性。获得了0至125μM的线性工作范围,检测限为2.71μM。该μPAD成功用于检测人血清中的AA,回收率为87.27%至98.52%。