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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.
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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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High-Performance Liquid Chromatography: Types of Detectors01:15

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The role of the detectors in High-Performance Liquid Chromatography (HPLC) is to analyze the solutes as they exit from the chromatographic column. The detector recognizes the solute's property and generates corresponding electrical signals, which are converted into a readable graph of the detector's response versus elution time called a chromatogram at the computer. There are several types of HPLC detectors, each with its own advantages and limitations, depending on the analyte...
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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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Gas Chromatography: Types of Columns and Stationary Phases01:17

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Gas chromatography (GC) relies on stationary phases to separate and analyze components in a sample. There are two main types of stationary phases: liquid and solid. Liquid stationary phases are non-volatile, thermally stable, and chemically inert liquids coated onto the column. Solid stationary phases are particles of adsorbent material, such as silica gel or molecular sieves.
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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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Identifying Per- and Polyfluorinated Chemical Species with a Combined Targeted and Non-Targeted-Screening High-Resolution Mass Spectrometry Workflow
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Functional data analysis, a comprehensive framework for processing non-quadrilinear and low-selective data provided

Mirta R Alcaraz1, Milagros Montemurro1, Pablo L Pisano2

  • 1Laboratorio de Desarrollo Analítico y Quimiometría (LADAQ), Cátedra de Química Analítica I, Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, Ciudad Universitaria, Santa Fe, S3000ZAA, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2290, CABA, C1425FQB, Argentina.

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|April 27, 2025
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Summary
This summary is machine-generated.

The new Functional Aligned of Pure Vectors (FAPV) algorithm effectively addresses chromatographic band shifts and signal overlaps in higher-order data. This chemometric approach enhances data multilinearity and resolves spectral overlap issues for improved analytical results.

Keywords:
FAPVHigher-order chromatographic dataMultilinearity restorationThird-order calibration

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Area of Science:

  • Analytical Chemistry
  • Chemometrics
  • Chromatography

Background:

  • Higher-order chromatographic data analysis faces challenges from band shifts and signal overlaps.
  • These issues cause data multilinearity breakdown and linear dependence, failing standard chemometric algorithms.
  • Existing methods require specific experimental conditions or additional instrumental selectivity.

Purpose of the Study:

  • To introduce the Functional Aligned of Pure Vectors (FAPV) algorithm.
  • To restore multilinearity and resolve spectral overlap in four-way chromatographic data.
  • To evaluate FAPV's analytical efficiency against existing chemometric models and alignment procedures.

Main Methods:

  • Developed the Functional Aligned of Pure Vectors (FAPV) algorithm.
  • Tested FAPV using simulated and experimental four-way chromatographic data.
  • Compared FAPV with PARAFAC, MCR-ALS, PARAFAC2, and correlation-optimized warping.

Main Results:

  • FAPV successfully restored data multilinearity and handled spectral overlap.
  • Experimental data analysis yielded relative error percentages (REPs) of approximately 10% for both analytes.
  • FAPV demonstrated superior performance in resolving chromatographic artifacts compared to other methods.

Conclusions:

  • The FAPV algorithm is an efficient solution for complex chromatographic/spectral data challenges.
  • FAPV enhances the feasibility of chemometric processing for higher-order data.
  • This method offers improved analytical accuracy in the presence of chromatographic artifacts.