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Related Concept Videos

Precipitation Titration: Endpoint Detection Methods01:19

Precipitation Titration: Endpoint Detection Methods

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In argentometric precipitation titrations, endpoints can be detected visually by the Mohr, Volhard, and Fajans methods. In the Mohr method, adding a soluble chromate indicator gives an initial yellow color to the analyte solution. As the titrant is added, the first excess of silver ions forms a red silver chromate precipitate, marking the endpoint. The solution pH should be maintained at about 8 by adding solid CaCO3.
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Precipitation Titration Curve: Analysis01:21

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The precipitation titration curve demonstrates the change in concentration of one reactant with the volume of titrant added. During the titration of chloride ions with silver nitrate, the precipitation titration curve is divided into three regions: before, at, and after the equivalence point. Before the equivalence point, low redissolution of the sparingly soluble silver chloride precipitate gives a low silver ion concentration. However, in the second region, representing the equivalence point,...
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A High Performance Impedance-based Platform for Evaporation Rate Detection
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A Novel NaCl Concentration Detection Method Based on Ultrasonic Impedance Method.

Wanjia Gao, Wenyi Liu, Yanjun Hu

    IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
    |May 26, 2021
    PubMed
    Summary

    This study introduces a novel ultrasonic impedance method for real-time sodium chloride (NaCl) concentration detection. The technique achieves high accuracy in non-contact measurements, ideal for monitoring large, closed systems.

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    Area of Science:

    • Materials Science
    • Acoustics
    • Analytical Chemistry

    Background:

    • Accurate real-time monitoring of sodium chloride (NaCl) concentration is crucial in various industrial and environmental applications.
    • Traditional methods for NaCl concentration measurement can be invasive or unsuitable for large, closed systems.

    Purpose of the Study:

    • To develop a novel, non-contact method for real-time NaCl concentration detection using ultrasonic impedance.
    • To establish the relationship between NaCl concentration and ultrasonic wave characteristics.
    • To validate the accuracy and applicability of the proposed method.

    Main Methods:

    • Utilizing the ultrasonic impedance method, which leverages differences in acoustic characteristics of ultrasonic waves at varying NaCl concentrations.
    • Conducting experimental studies to correlate NaCl concentration with the amplitude of ultrasonic echoes.
    • Employing a Backpropagation (BP) neural network for data classification and the development of a concentration-amplitude prediction model.

    Main Results:

    • Achieved a high linear fitting degree (r²) of 0.9967 for the concentration-amplitude relationship.
    • Attained 100% classification accuracy for collected sample data using the BP neural network.
    • Developed a prediction model with a prediction error of less than 8.36% compared to ground truth values.

    Conclusions:

    • The proposed ultrasonic impedance method offers a highly accurate and reliable approach for real-time NaCl concentration monitoring.
    • The non-contact nature of the method makes it suitable for monitoring in large, enclosed containers where traditional methods are impractical.
    • BP neural networks effectively enhance the classification and prediction capabilities of the ultrasonic impedance technique.