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In this work, we propose a mathematical method for detection of the probable doubtful asphaltene precipitation titration data.
The first level, Bachelor's degree, contains the basic knowledge: gravimetric analysis, electrogravimetry, acid-base titration, oxidation-reduction titration, precipitation titration, complexometric titration and quality assurance and quality control of results.
First, we investigated the effect of the added amount of PEI on this precipitation titration.
Using this precipitation titration, we investigated whether it was possible to perform bound/free separation of fluorescently labeled probes.
This characteristic, which is shown in Figure 3A, indicates that this precipitation titration is based on neutralization of the negative electric charge of the DNA by the cationic polymer PEI.
To investigate the effect of ionic strength on precipitation titration, aqueous KCl was added to the reaction solution after the LAMP reaction so that it was the prescribed concentration.
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Such titrations, classified according to the nature of the chemical reaction occurring between the sample and titrant, include: acid-base titrations, precipitation titrations, complex-formation titrations, and oxidation-reduction (redox) titrations.
Chemical indicators are available that change colour at or near the equivalence point of acid-base, oxidation-reduction, complexation, and precipitation titrations.
Precipitation titrations may be illustrated by the example of the determination of chloride content of a sample by titration with silver nitrate, which precipitates the chloride in the form of silver chloride.
Both Na-carbonate and hydroxide were used as titrants, and a geochemical equilibrium reaction path model was employed to predict aqueous species and mineral precipitation during titration.
From this Figure, it is concluded that PLCM model is a powerful tool for predicting the amount of asphaltene precipitation in titration experiments.
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