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Related Concept Videos

Precipitation Gravimetry01:03

Precipitation Gravimetry

Precipitation gravimetry is based on converting an analyte into a sparingly soluble precipitate, which is separated by filtration and weighed. An ideal precipitate should be pure, insoluble, of known composition, and easily filtered from the reaction mixture.
In determining nickel by gravimetric analysis, a precipitant of ethanolic dimethylglyoxime is added to a hot nickel salt solution. This is quickly followed by the dropwise addition of dilute ammonia solution until precipitation occurs. A...
Moisture Content and Bulking of Aggregate01:10

Moisture Content and Bulking of Aggregate

The moisture content of aggregates is a crucial factor in construction, particularly in concrete mixing, as it influences the total water required in the mix. Moisture content represents the water coated on the exterior surface of the aggregate existing in a saturated and surface-dry condition. The total water content of a moist aggregate is the sum of its moisture content and water absorption.
When aggregates are exposed to rain or sit in stockpiles, they absorb moisture, which must be...

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Related Experiment Video

Updated: Jun 13, 2026

Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling
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Quantifying the Microstructure of Dried Deposits Using Height-Height Correlation Function.

Sankar Hariharan1, Sumesh P Thampi1, Madivala G Basavaraj1

  • 1Polymer Engineering and Colloid Science Lab, Department of Chemical Engineering, Indian Institute of Technology Madras, Chennai, Tamil Nadu 600036, India.

Langmuir : the ACS Journal of Surfaces and Colloids
|May 22, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a new method to analyze colloidal self-assembly patterns. The technique quantifies particle distribution in deposits, aiding in understanding physical processes and developing new applications.

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Area of Science:

  • Materials Science
  • Physics

Background:

  • Colloidal self-assembly is vital for medical and engineering applications.
  • Understanding particle arrangement is key to controlling self-assembled systems.

Purpose of the Study:

  • To develop a novel method for analyzing particle spatial distribution in colloidal assemblies.
  • To quantify the microstructure of deposits formed during colloidal drop evaporation.

Main Methods:

  • Utilized a height-height correlation function to analyze deposit height profiles.
  • Quantified variations in radial and azimuthal directions.
  • Classified assembly patterns based on quantitative measures.

Main Results:

  • The developed method robustly quantifies synthetic and experimental deposit patterns.
  • Estimated parameters showed excellent agreement between the method and real-world data.
  • Established a mapping between pattern morphology and quantitative measures.

Conclusions:

  • The novel methodology provides a robust way to analyze colloidal deposit microstructures.
  • This approach facilitates pattern classification and has potential applications in disease diagnosis and pattern recognition.