Digital movie-based on automatic titrations

作者：Lima Ricardo Alexandre C; Almeida Luciano F; Lyra Wellington S; Siqueira Lucas A; Gaiao Edvaldo N; Paiva Junior Sergio S L; Lima Rafaela L F C

来源：Talanta, 2016, 147: 226-232.

DOI：10.1016/j.talanta.2015.09.053

• End point detection
• Pearson correlation coefficient
• Digital movies
• Hue-saturation-intensity color system
• Webcam
• Flow-batch analyzer

This study proposes the use of digital movies (DMs) in a flow-batch analyzer (FBA) to perform automatic, fast and accurate titrations. The term used for this process is "Digital movie-based on automatic titrations" (DMB-AT). A webcam records the DM during the addition of the titrant to the mixing chamber (MC). While the DM is recorded, it is decompiled into frames ordered sequentially at a constant rate of 26 frames per second (FPS). The first frame is used as a reference to define the region of interest (ROI) of 28 x 13 pixels and the R, G and B values, which are used to calculate the Hue (H) values for each frame. The Pearson's correlation coefficient (r) is calculated between the H values of the initial frame and each subsequent frame. The titration curves are plotted in real time using the r values and the opening time of the titrant valve. The end point is estimated by the second derivative method. A software written in C language manages all analytical steps and data treatment in real time. The feasibility of the method was attested by application in acid/base test samples and edible oils. Results were compared with classical titration and did not present statistically significant differences when the paired t-test at the 95% confidence level was applied. The proposed method is able to process about 117-128 samples per hour for the test and edible oil samples, respectively, and its precision was confirmed by overall relative standard deviation (RSD) values, always less than 1.0%.

• 出版日期2016-1-15