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相关概念视频

Drug Absorption Mechanism: Passive Membrane Transport01:23

Drug Absorption Mechanism: Passive Membrane Transport

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Passive transport is a method of drug absorption where small, lipid-soluble drugs can move across the cell membrane. This movement happens along the concentration gradient, which is a natural flow from higher to lower concentration areas. The speed at which the drug moves is directly related to its lipid–water partition coefficient. This means that the more a drug dissolves in lipids, the faster it diffuses or spreads throughout the body. It is important to note that most drugs are either...
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Analyte Adsorption and Distribution01:09

Analyte Adsorption and Distribution

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In certain chromatographic separations, solutes transfer between the mobile phase and the stationary phase via sorption, which typically refers to the process of adsorption. For many chromatographic systems, the sorption process often depends on the polarity of the compounds—an expression of the overall dipole moment within the molecule. During the separation process, there is competition between the solute and solvent for adsorption to the stationary phase. Highly polar compounds and...
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Electrophilic Aromatic Substitution: Sulfonation of Benzene01:22

Electrophilic Aromatic Substitution: Sulfonation of Benzene

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Sulfonation of benzene is a reaction wherein benzene is treated with fuming sulfuric acid at room temperature to produce benzenesulfonic acid. Fuming sulfuric acid is a mixture of sulfur trioxide and concentrated sulfuric acid.
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Methods for Studying Drug Absorption: In situ01:09

Methods for Studying Drug Absorption: In situ

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In situ experiments, such as the Doluisio method and Single-Pass Perfusion technique, provide critical insights into drug uptake by simulating in vivo conditions for drug absorption.
The Doluisio method involves perfusing a prepared segment of a rat's small intestine with a solution of radiolabeled drug and a non-absorbable marker. This helps to differentiate between absorbed and non-absorbed drug concentrations. The intestinal segment is connected at both ends using tubing and syringes,...
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Methods for Studying Drug Absorption: In vitro01:16

Methods for Studying Drug Absorption: In vitro

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In vitro experiments are crucial for understanding the transport and absorption of drugs through biological materials. These studies employ varied methods such as the diffusion cell method, the everted sac technique, and the everted ring technique.
The diffusion cell method uses a two-compartment cell, including a donor compartment with the drug solution, which simulates the environment where the drug is applied, and a receptor compartment with a buffer solution, which simulates the environment...
543
Drug Absorption Mechanism: Carrier-Mediated Membrane Transport01:19

Drug Absorption Mechanism: Carrier-Mediated Membrane Transport

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Certain large, lipid-insoluble drug molecules that resemble amino acids, peptides, or glucose, require specialized carrier proteins to facilitate their diffusion across cell membranes. This transport can occur through either facilitated diffusion, which does not require energy input, or active transport, which does require energy input.
Facilitated diffusion is a passive process that utilizes human Solute Carrier (SLC) transporters. These transporters bind to the drug, undergo structural...
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相关实验视频

Updated: Jan 7, 2026

Preparation of Biomass-based Mesoporous Carbon with Higher Nitrogen-/Oxygen-chelating Adsorption for CuII Through Microwave Pre-Pyrolysis
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使用可解释的机器学习揭示硫胺在生物炭上的吸附.

Deepu Kumar Jha1

  • 1Department of Chemical Engineering, Indian Institute of Technology Kharagpur, Kharagpur 721302, India.

Bioresource technology
|December 24, 2025
PubMed
概括
此摘要是机器生成的。

机器学习准确地预测了硫胺抗生素的生物炭吸附. 梯度增强模型将生物炭表面积确定为从水中去除这些污染物的关键.

关键词:
抗生素的去除 抗生素的去除模型的解释性 模型的解释性预测性分析是一种预测性分析.化生物质的生物质.水的整治水的整治.

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Reducing Willow Wood Fuel Emission by Low Temperature Microwave Assisted Hydrothermal Carbonization
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Reducing Willow Wood Fuel Emission by Low Temperature Microwave Assisted Hydrothermal Carbonization
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科学领域:

  • 环境化学环境化学
  • 材料科学 材料科学 材料科学
  • 计算化学计算化学

背景情况:

  • 硫胺抗生素是持续存在的水生污染物,存在抗菌素耐药性的风险.
  • 生物炭显示了硫胺去除的潜力,但优化是具有挑战性和资源密集的.

研究的目的:

  • 开发和验证机器学习模型,用于预测硫胺的生物炭吸附能力.
  • 确定影响生物炭硫胺吸附的关键分子,结构和操作因素.

主要方法:

  • 应用机器学习算法,包括人工神经网络,高斯过程回归和梯度增强.
  • 利用网格搜索交叉验证进行模型优化.
  • 使用SHAP和部分依赖性分析来解释模型的可解释性.

主要成果:

  • 梯度增强证明了R2 = 0.997,RMSE = 6.06 mg g-1和MAE = 2.18 mg g-1.1的优异性能.
  • 确定BET表面积是影响吸附的主要因素.
  • 最初的度和剂量是重要的操作因素,孔径和体积具有次要影响.

结论:

  • 开发的机器学习框架为了解生物炭吸附中的结构性能关系提供了一种可解释的方法.
  • 这种预测模型可以指导高效的生物炭选择和优化硫胺在水处理中的去除.