Hplc Fingerprinting
Hplc Fingerprinting - Related Videos
07:29
HPLC Coupled with Chemical Fingerprinting for Multi-Pattern Recognition for Identifying the Authenticity of Clematidis Armandii Caulis
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Cited by 2 •
2022
Here, we present a protocol to establish high-performance liquid chromatography (HPLC), coupled with chemical fingerprint multi-pattern recognition, which provides a new strategy for effectively identifying the genuine varieties of Clematidis Armandii Caulis and its adulterants.
12:58
High-Performance Liquid Chromatography (HPLC)
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2023
Source: Dr. Paul Bower - Purdue University High-performance liquid chromatography (HPLC) is an important analytical method commonly used to separate and quantify components of liquid samples. In this technique, a solution (first phase) is pumped through a column that contains a packing of small porous particles with a second phase bound to the surface. The different solubilities of the sample components in the two phases cause the components to move through the column with different average...
01:03
IR Frequency Region: Fingerprint Region
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2024
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...
12:02
Automated Modular High Throughput Exopolysaccharide Screening Platform Coupled with Highly Sensitive Carbohydrate Fingerprint Analysis
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Cited by 18 •
2016
We present an automated modular high-throughput-method for the identification and characterization of microbial exopolysaccharides in small scale. This method combines a fast preselection to analyze the total amount of secreted polysaccharides with a detailed carbohydrate fingerprint to enable the fast screening of newly isolated bacterial strains or entire strain collections.
09:39
DNA Fingerprinting of Mycobacterium leprae Strains Using Variable Number Tandem Repeat (VNTR) - Fragment Length Analysis (FLA)
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Cited by 9 •
2011
Leprosy, caused by Mycobacterium leprae, is still endemic in many places. In order to learn about the spread and mode of transmission of leprosy, it is important to determine which strain of M. leprae has infected a patient. Variable numbers of tandem repeats (VNTR) typing is one such method.
FAQs
Component separation depends on how sample constituents interact with the packed column and how readily they move with the liquid mobile phase. Differences in polarity and these interactions cause constituents to emerge at different times, producing distinct retention positions. Changes in the resulting pattern can therefore reflect differences in sample composition.
Retention times indicate when separated components reach the detector, while signal intensities describe the strength of their recorded responses. Considered together, peak positions and relative intensities form a compositional pattern. A comparison with a reference fingerprint can identify similarities or highlight missing, altered, or unusually represented constituents.
A single-compound measurement can confirm or quantify one constituent, but it may not represent a complex material’s overall composition. Fingerprinting examines the collective peak pattern, making it more suitable for detecting broader differences such as adulteration, degradation, or variation between production batches.
The sample is introduced into an HPLC system, where a liquid mobile phase carries its constituents through a packed column. The column separates those constituents according to their differing interactions, and a detector records the separated signals. Analysts then evaluate the resulting retention times and intensities against an appropriate reference fingerprint.
The approach supports identity testing and quality control for multicomponent materials, including pharmaceuticals, botanical products, and foods. Because these materials may contain numerous constituents, their overall chromatographic patterns can provide compositional evidence that complements evaluation of individual compounds.
Reference profiles provide a comparison point for assessing whether a test sample shows the expected compositional pattern. Similarity can support identity or consistency, whereas meaningful differences may signal adulteration, degradation, or batch-to-batch variation. This makes fingerprint comparison useful for monitoring material quality across chemistry workflows.