Mohamed Ashraf A, Shalaby Ahmed A, Salem Abdelnaby M
Department of Chemistry, Faculty of Science, Ain Shams University Abbassia Cairo-11566 Egypt
RSC Adv. 2018 Mar 16;8(19):10673-10679. doi: 10.1039/c8ra00209f. eCollection 2018 Mar 13.
Digital imaging devices can be promising, sensitive, and cost-effective chemical sensors for resource-limited settings. Three model colour reactions of iron were used and monitored using a simple platform consisting only of a camera, a cuvette, and a white paper diffuser. A desktop scanner and a mobile phone camera were also used as imaging devices. Captured images were analysed to obtain the RGB intensities (red, green, blue) and were further converted into the corresponding signals of the grayscale, CMY (cyan, magenta, yellow), XYZ (Y: luminance, XZ: chromaticity plane values) and Yxy colour spaces (Y: luminance, xy: chrominance values) analytical signals. The elegant procedure utilizing the Yxy signals surpassed those based on RGB, grayscale, CMY and tristimulus XYZ data regarding the calibration graph linearity and detection limit and compare well with those data obtained from a sophisticated spectrophotometer for assessing iron in complex environmental samples. The simplicity, sensitivity and cost effectiveness of the approach make it suitable for poorly equipped laboratories and locally deprived communities.
对于资源有限的环境,数字成像设备可以成为有前景、灵敏且经济高效的化学传感器。利用了铁的三种模型显色反应,并使用一个仅由相机、比色皿和白纸漫射器组成的简单平台进行监测。还使用了台式扫描仪和手机相机作为成像设备。对捕获的图像进行分析以获得RGB强度(红色、绿色、蓝色),并进一步转换为灰度、CMY(青色、品红色、黄色)、XYZ(Y:亮度,XZ:色度平面值)和Yxy颜色空间(Y:亮度,xy:色度值)分析信号的相应信号。在校准曲线线性度和检测限方面,利用Yxy信号的精妙方法优于基于RGB、灰度、CMY和三刺激值XYZ数据的方法,并且与从精密分光光度计获得的用于评估复杂环境样品中铁的数据相比也毫不逊色。该方法的简单性、灵敏性和成本效益使其适用于设备简陋的实验室和当地贫困社区。