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Related Concept Videos

Mass Spectrometry: Complex Analysis01:21

Mass Spectrometry: Complex Analysis

Mass spectrometry is an important technique for the identification of pure compounds. However, it has some limitations for the analysis of complex mixtures, often due to excessive fragmentation making the spectrum too complicated to decipher. Mass spectrometry can be combined with suitable separation methods in sequence, forming hyphenated methods, which are useful in the analysis of complex mixtures.
GC–MS is a powerful hyphenated method commonly used in forensics and environmental...
Chromatographic Methods: Classification01:12

Chromatographic Methods: Classification

Chromatographic techniques are classified in three ways: the classification is based on the physical state of the stationary and mobile phases, how the mobile phase and the stationary phase contact each other, or through the chemical or physical processes that isolate the components of the sample. Typically, the mobile phase is either a liquid or gas, while the stationary phase is either a solid or a liquid layer applied to a solid surface.
Chromatographic techniques are typically named by...
IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the C=O, C=N, and C=C occur between 1600–1850 cm−1.
The...
Gas Chromatography–Mass Spectrometry (GC–MS)01:14

Gas Chromatography–Mass Spectrometry (GC–MS)

Gas chromatography–mass spectrometry (GC–MS) is the combination of analytical techniques of gas chromatography and mass spectrometry in a single instrument for analyzing a mixture of compounds. The gas chromatograph separates the compounds in the mixture, and the mass spectrometer analyzes each compound separately to determine the molecular masses and molecular structures.
A gas chromatograph consists of a long, narrow capillary column with a polysiloxane coating on the inner wall. The coating...
Chromatographic Methods: Terminology01:18

Chromatographic Methods: Terminology

Chromatography is an analytical technique widely used in fields such as chemistry, biology, environmental science, and pharmaceuticals to separate the components of a mixture and identify substances between them. The process of chromatography is based on the interactions between two distinct phases: the stationary phase and the mobile phase. The stationary phase is fixed in place by a supporting material, while the mobile phase moves over it, carrying the solutes. As the mobile phase travels,...
Affinity Chromatography01:03

Affinity Chromatography

Affinity chromatography is a powerful technique extensively utilized for separating and purifying specific biomolecules from complex mixtures. It capitalizes on the highly selective binding between an analyte and its counterpart, such as antibody-antigen interactions. The counterpart is immobilized on the stationary phase, forming an affinity column. The stationary phase typically consists of solid support, such as agarose or porous glass beads, immobilizing the affinity ligand. The mobile...

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Related Experiment Video

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Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography
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Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography

Published on: September 2, 2020

[Combination similarity algorithm on chromatographic fingerprints].

Xueyan Zhan1, Xinyuan Shi, Tianxuan Duan

  • 1Beijing University of Chinese Medicine, Beijing 100102, China.

Se Pu = Chinese Journal of Chromatography
|March 9, 2011
PubMed
Summary
This summary is machine-generated.

A new similarity algorithm enhances the quality stability evaluation of Chinese medicine by analyzing chromatographic fingerprints. This method is more sensitive to chemical composition differences than traditional cosine approaches, especially for Smilax glabra Roxb.

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Area of Science:

  • Analytical Chemistry
  • Pharmacognosy
  • Computational Chemistry

Context:

  • Chromatographic fingerprints are crucial for assessing Chinese medicine quality stability.
  • The cosine similarity method is widely used but has limitations with wide data ranges and differing sample proportions.
  • Existing methods struggle to sensitively detect variations in chemical composition between reference and test samples.

Purpose:

  • To develop a novel similarity algorithm for evaluating the quality stability of herbal medicines, specifically Smilax glabra Roxb.
  • To overcome the insensitivity of the cosine approach to data differences in chromatographic fingerprints.
  • To create a method that accounts for unique and shared peaks, assigning appropriate weights for accurate similarity measurement.

Summary:

  • This study introduces a new similarity algorithm that considers all peaks (shared and unique) in chromatographic fingerprints of Smilax glabra Roxb. samples.
  • The algorithm assigns specific weights to peaks to maximize homostasis, improving sensitivity to differences in chemical composition area ratios.
  • It addresses the limitations of the cosine similarity method, particularly when dealing with samples having significantly different data proportions.

Impact:

  • Provides a more sensitive and reliable method for evaluating the quality stability of herbal medicines.
  • Enhances the accuracy of comparative analysis between reference and test samples in traditional medicine.
  • Offers a new computational tool for quality control and standardization in the pharmaceutical industry.