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Related Concept Videos

Precipitation Titration: Endpoint Detection Methods01:19

Precipitation Titration: Endpoint Detection Methods

2.1K
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.
In the Volhard method, a standard excess of AgNO3 is first added to the...
2.1K
Classification of Titrimetric Analysis Based on Reaction Types01:01

Classification of Titrimetric Analysis Based on Reaction Types

842
Titrimetric analysis in solution chemistry involves measuring the volume of solutions and is often called volumetric analysis. The standard solution of known concentration in the burette is called the titrant, whereas the solution of unknown concentration in the flask is called the analyte, or titrand. Titrimetric analyses can be classified into four types based on the reactions between the titrant and analyte.
Titrations between an acid and a base lead to neutralization reactions that form...
842
Complexometric Titration: Overview00:39

Complexometric Titration: Overview

7.9K
Complexometric titration involves the formation of a complex by reacting a metal ion with one or more ligands. A visual indicator often detects the end point of a complexometric titration. It is added to the metal solution before the titration, forming a stable metal–indicator complex and imparting color to the solution. As the titration approaches the equivalence point, the excess of the added ligand displaces the indicator from the metal–indicator complex, releasing the free...
7.9K
Titrimetric Methods: Types and Commonly Used Strategies01:08

Titrimetric Methods: Types and Commonly Used Strategies

1.1K
In chemistry, titrimetric methods are broadly classified into three types: volumetric, gravimetric, and coulometric. Volumetric titrations involve measuring the volume of a titrant of known concentration that is required to react completely with an analyte. In gravimetric titrations, the standard solution reacts with the analyte to form an insoluble precipitate, which is filtered, dried, and weighed. In coulometric titrations, current is applied to an electrochemical reaction until the reaction...
1.1K
Gravimetry: Inorganic And Organic Precipitating Agents00:49

Gravimetry: Inorganic And Organic Precipitating Agents

1.6K
In gravimetry, the precipitant is chosen carefully to obtain a pure solid that can be easily filtered. Common inorganic precipitants can be used to determine several cations and anions. In some cases, the formation of the same precipitate can be used to determine the cation and the anion. For example, the reaction of barium and chromate ions to give barium chromate is used to determine both barium and chromate. However, precipitates such as hydroxides, oxalates, and metal ammonium phosphates...
1.6K
Effects of EDTA on End-Point Detection Methods01:18

Effects of EDTA on End-Point Detection Methods

351
Different methods, such as visual observance of metal-ion indicators, spectroscopic techniques, and potentiometric methods, can determine the endpoint of an EDTA titration.
In the visual method, metal-ion indicators (metallochromic dyes), which have distinct colors in their free and complex forms, are added to the mixture to signal the titration's end point. They form stable complexes with metal ions, but these complexes are weaker than the corresponding metal–EDTA complexes. As a...
351

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Related Experiment Video

Updated: Sep 17, 2025

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
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Automatic titration detection method of organic matter content based on machine vision.

Bingjie Zhang1, Meng Li1, Qing Song1

  • 1University of Jinan, Jinan, People's Republic of China.

Royal Society Open Science
|July 3, 2025
PubMed
Summary

This study introduces an automated titration algorithm using machine vision for organic matter detection. The new method enhances efficiency and accuracy, overcoming limitations of manual titration.

Keywords:
endpoint detectionmachine learningorganic matter detectionsupervised classification

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Area of Science:

  • Analytical Chemistry
  • Chemical Engineering
  • Computer Vision

Background:

  • Manual titration for organic matter detection presents risks, odor issues, pollution, and inefficiency.
  • Traditional methods lack automation and intelligence, hindering laboratory productivity.

Purpose of the Study:

  • To develop an automatic titration algorithm for organic matter detection using machine vision.
  • To improve the efficiency, accuracy, and safety of organic matter detection compared to manual titration.

Main Methods:

  • Machine learning techniques were employed to analyze color changes during titration and classify titration speed.
  • A titration experiment state recognition model was developed to optimize titration efficiency.
  • An algorithm based on histogram similarity was designed to accurately identify titration endpoints using collected experimental data.

Main Results:

  • The developed algorithm demonstrated a titration error of less than 0.2 ml.
  • The automated system proved more efficient than manual titration.
  • Statistical analysis (paired t-test at 95% confidence level) showed no significant difference between automated and manual titration results.

Conclusions:

  • The automatic titration algorithm effectively addresses the limitations of manual methods.
  • The system exhibits good recognition rate and control accuracy, offering a viable alternative for automated chemical titration.
  • This research provides novel approaches for the automation and intelligence of chemical titration processes.