In this paper, colorimetric analysis for biochemical samples has been realized, by developing an easy-to-use smartphone colorimetric sensing android application that can measure the molar concentration of the biochemical liquid analyte. The designed application can be used for on-site testing and measurement. We examined three different biochemical materials with the application after preparation with five different concentrations and testing in laboratory settings, namely glucose, triglycerides, and urea. Our results showed that for glucose triglycerides, and urea the absorbance and transmittance regression coefficient (R²) for the colorimetric sensing application were 0.9825, and 0.9899; 0.9405 and 0.9502; 0.9431 and 0.8597, respectively. While for the spectrophotometer measurement the (R²) values were 0.9973 @560 nm and 0.9793 @600 nm; 0.952 @620 nm and 0.9364 @410 nm; 0.9948 @570 nm and 0.9827 @530 nm, respectively. The novelty of our study lies in the accurate prediction of multiple biochemical materials concentrations in various lightning effects, reducing the measurement time in an easy-to-use portable environment without the need for internet access, also tackling various issues that arise in the traditional measurements like power consumption, heating, and calibration. The ability to convey multiple tasks, prediction of concentration, measurement of both absorbance and transmittance, with error estimation charts and (R²) values reporting within the colorimetric sensing application as far as our knowledge there has not been any application that can provide all the capabilities of our application.

本文通过开发易于使用的智能手机比色传感android应用程序来实现生化样品的比色分析，该应用程序可以测量生化液体分析物的摩尔浓度。设计的应用程序可用于现场测试和测量。我们准备了三种不同的生化材料，并准备了五种不同的浓度，并在实验室环境中进行了测试，即葡萄糖，甘油三酸酯和尿素。我们的结果表明，对于葡萄糖甘油三酸酯和尿素，比色传感应用的吸光度和透射率回归系数（R ²）分别为0.9825和0.9899。0.9405和0.9502；分别为0.9431和0.8597。分光光度计的测量值（R ²）值为0.9973 @ 560 nm和0.9793 @ 600 nm; 0.952 @ 620 nm和0.9364 @ 410 nm; 分别为0.9948 @ 570 nm和0.9827 @ 530 nm。我们研究的新颖性在于准确预测各种闪电效应中多种生化材料的浓度，减少了在易于使用的便携式环境中的测量时间，而无需互联网访问，还解决了传统测量中出现的各种问题例如功耗，加热和校准。具有多项任务的能力，浓度预测，吸光度和透射率的测量以及误差估计图和（R ²）色度传感应用程序中的值报告，据我们所知，还没有任何应用程序可以提供我们应用程序的所有功能。