توسعه روش رنگ سنجی تصویر دیجیتال برای اندازه گیری اتانول در هوای بازدمی منجمد

مجریان: الهه رحیم پور

خلاصه روش اجرا: Alcoholism is a major social, economic, and public health problem throughout much of the world. Ethanol-related neurologic disorders constitute a particularly large, diverse, and devastating subset of the medical complications of alcoholism. The frequency of such disorders reflects ethanol's widespread use. By considering this fact, the monitoring of ethanol concentration in the biological samples of patients with alcohol poisoning will be important. The main aim of this method is development of a colorimetric combined with digital image analysis method for ethanol detection. The proposed method is based on multivariate analysis of images. A smartphone is applied for capturing the images with proposed the drug monitoring. A spectrophotometric instrument is applied to compared the results that obtained with image analysis. The image analysis was performed by using lab-made app (PhotoMetrix®), based on univariate calibration with the histograms of the red-green-blue images. The image histograms are automatically calculated using the smartphone camera and processed within the app. And then multivariate analysis with PARAFAC of n-way toolbox. After optimization and validation of the proposed method, the calibration graph in the biological matrices will be made. Then, the validated method will be used for determination of ethanol in the exhaled breath condensate (EBC) samples of patients with alcohol poisoning.