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Porosity and Absorption of Aggregate

Porosity and Absorption of Aggregate

Aggregates contain pores of varying sizes; while some are completely enclosed within the particles, others open onto the surface, allowing water to penetrate. The porosity of aggregates is a major factor contributing to the overall porosity of concrete, given that aggregates constitute about three-quarters of concrete's volume.
When all pores in an aggregate are filled with water, the aggregate is considered saturated and surface-dry. If left in dry air, water will evaporate until the...

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Updated: Sep 10, 2025

A Guided Materials Screening Approach for Developing Quantitative Sol-gel Derived Protein Microarrays

A Guided Materials Screening Approach for Developing Quantitative Sol-gel Derived Protein Microarrays

Published on: August 26, 2013

使用多通道色度阵列加速孔隙选

Yushu Han¹, Isaiah Borne¹, Biplab Dutta¹

¹Department of Chemistry and Materials Innovation Factory, University of Liverpool, 51 Oxford Street, Liverpool, L7 3NY, UK.

Angewandte Chemie (International ed. in English)

|August 22, 2025

概括

此摘要是机器生成的。

一种新的色度测量方法快速选多孔材料用于技术应用. 这种染料吸附技术与计算机视觉相结合,

关键词:

颜色测量染料吸附气体吸附高吞吐量多孔性

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相关实验视频

Last Updated: Sep 10, 2025

A Guided Materials Screening Approach for Developing Quantitative Sol-gel Derived Protein Microarrays

A Guided Materials Screening Approach for Developing Quantitative Sol-gel Derived Protein Microarrays

Published on: August 26, 2013

Membrane Transport Processes Analyzed by a Highly Parallel Nanopore Chip System at Single Protein Resolution

Membrane Transport Processes Analyzed by a Highly Parallel Nanopore Chip System at Single Protein Resolution

Published on: August 16, 2016

Visual Detection of Multiple Nucleic Acids in a Capillary Array

Visual Detection of Multiple Nucleic Acids in a Capillary Array

Published on: November 15, 2017

科学领域:

材料科学
化学工程
分析化学

背景情况:

孔隙性分析对于材料应用至关重要,但传统的气体吸附方法耗时.
自动化材料生成使得多孔性分析成为发现新多孔材料的瓶.

研究的目的:

开发一个快速的,半自动的选前策略,用于透性分析.
克服慢慢的传统孔径测量技术的局限性.

主要方法:

使用六种染料的色度测量阵列用于染料吸附.
计算机视觉分析与染料阵列进行透查.
该方法选了50种候选材料,包括分子固体,聚合物和金属有机框架.

主要成果:

与气体吸收测量相比,色度测量方法的分类准确度达到98-100%.
选策略比传统的气体吸附测量快30倍以上.
该方法适用于大量材料的预选.

结论:

这种色度测量方法为初始孔隙性评估提供了快速有效的替代方案.
通过确定有前途的候选材料进行进一步分析,该战略可以加速发现新的多孔材料.
进一步平行化和自动化可以显著提高这种选方法的速度.