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Related Concept Videos

High-Performance Liquid Chromatography: Introduction01:11

High-Performance Liquid Chromatography: Introduction

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High-performance liquid chromatography(HPLC), formerly referred to as High-pressure liquid chromatography, is a powerful technique used to separate, identify, and quantify components in complex mixtures. The term "high pressure" refers to using high pressure to push the liquid mobile phase through the tightly packed columns.
In HPLC, two phases play a critical role in the separation process:
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Optimizing Chromatographic Separations01:15

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Optimizing chromatographic separations is crucial for obtaining clean separations in a minimum amount of time. Optimization is required for several factors, including kinetic effects related to band broadening, plate height, capacity factor, and separation factor.
Band broadening refers to spreading solute bands as they travel through the column. This broadening can impact resolution. Plate height (H) represents the length required for one theoretical plate. A lower plate height corresponds to...
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Chromatography: Introduction01:10

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Chromatography is a technique used to separate compounds based on differences of partitioning between two phases, the stationary phase and the mobile phase.
The phase in which the compounds linger or on which the compounds adsorb is called the stationary phase, whereas the mobile phase is the solvent that carries the solutes to be analyzed. In traditional column chromatography, the mixture flows through the stationary phase, and the compounds partition between the stationary and mobile phases...
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High-Performance Liquid Chromatography: Elution Process01:05

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In High-Performance Liquid Chromatography (HPLC), the elution process is critical to the separation of analytes and the quality of chromatographic results. Elution describes how compounds move through the column and separate based on their interactions with the mobile and stationary phases. This process determines the resolution, peak shape, and retention times in the chromatogram, which are essential for identifying and quantifying components in complex mixtures. Understanding the elution...
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High-Performance Liquid Chromatography: Instrumentation00:57

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High-performance liquid chromatography, or HPLC, is an analytical technique that separates liquid samples under high pressures. An HPLC instrument consists of glass bottles for storing solvents called mobile phase reservoirs. HPLC-grade solvents are used to maintain high purity, and the dissolved gases are removed using a degasser, such as a vacuum pumping system or sparging with helium. The solvents are then pumped into the analytical column using a screw-driven syringe or reciprocating pumps.
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Supercritical Fluid Chromatography01:18

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Supercritical fluid chromatography (SFC) provides a beneficial substitute for gas chromatography (GC) and liquid chromatography (LC) for certain samples because it merges the top attributes of both techniques. SFC allows the separation and analysis of compounds that GC or LC does not easily manage. These compounds are traditionally nonvolatile or thermally unstable, making GC unsuitable and lacking functional groups required for HPLC analysis.
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Automated Hydrophobic Interaction Chromatography Column Selection for Use in Protein Purification
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Recent progress on countercurrent chromatography modeling.

Fengkang Wang1, Yoichiro Ito2, Yun Wei1

  • 1State Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology, 15 Beisanhuan East Road, Chaoyang District, Beijing 100029, China. Tel &

Journal of Liquid Chromatography & Related Technologies
|January 13, 2015
PubMed
Summary
This summary is machine-generated.

Modeling countercurrent chromatography (CCC) is crucial for predicting process outcomes and optimizing solvent systems. This review covers various CCC models, aiding in rapid analysis and peak prediction for industrial applications.

Keywords:
Countercurrent chromatographySeparation processmodel

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Area of Science:

  • Analytical Chemistry
  • Chemical Engineering

Background:

  • Countercurrent chromatography (CCC) is an established separation technique.
  • Predictive modeling is increasingly important for CCC process optimization.

Purpose of the Study:

  • To review recent advancements in countercurrent chromatography modeling.
  • To highlight models capable of predicting retention time and peak width.

Main Methods:

  • Review of existing literature on countercurrent chromatography models.
  • Categorization of various modeling approaches.

Main Results:

  • Several CCC models exist, including cell, CCD, CSTRs, probabilistic, temperature dependence plate, and physical models.
  • These models aid in predicting solute retention time and peak width.

Conclusions:

  • Effective modeling is key to rapid analysis and solvent system selection in CCC.
  • Continued development of CCC models will enhance process efficiency and predictability.