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Related Concept Videos

Sample Preparation for Analysis: Overview01:21

Sample Preparation for Analysis: Overview

Sample preparation is an essential step in the analytical process. It involves preparing a sample so that it can be analyzed accurately. The goal is to extract the analyte, the substance you want to measure, from the sample while removing any components that may interfere with the analysis. Sample preparation techniques vary depending on the physical state of the sample.
Bulk or large solid samples are typically reduced in size using grinding, crushing, or milling techniques to increase the...
Sample Preparation for Analysis: Advanced Techniques01:08

Sample Preparation for Analysis: Advanced Techniques

Accurate analysis of complex samples often requires advanced preparation techniques to achieve reliable and reproducible results. Samples containing inorganic or organic materials can be challenging to dissolve or decompose effectively. Standard sample preparation methods include acid digestion, fusion, dry ashing, and wet digestion.
Acid digestion with strong acids is commonly used to dissolve inorganic materials that are insoluble (do not dissolve) in water. This method can be useful for...
Development of Analytical Methods01:21

Development of Analytical Methods

An analytical methodology can be divided into four sequential steps: technique, method, procedure, and protocol. A technique is a scientific principle that rationalizes a specific phenomenon through chemical measurements. Adapting a technique for analyzing a sample of interest is termed a method. The procedure outlines the directions for performing the analysis via an analytical method. The protocol is the detailed guidelines on the procedure, which should be strictly followed to obtain the...
Gas Chromatography: Types of Columns and Stationary Phases01:17

Gas Chromatography: Types of Columns and Stationary Phases

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.
For an analyte to remain on the column for a sufficient amount of time, it must exhibit some level of compatibility (or...

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Solid phase analytical derivatization as a sample preparation method.

Sanka N Atapattu1, Jack M Rosenfeld

  • 1Department of Pathology and Molecular Medicine, McMaster University, Hamilton, ON L8S 4K1, Canada. sanka@wayne.edu

Journal of Chromatography. A
|April 3, 2013
PubMed
Summary
This summary is machine-generated.

Solid phase analytical derivatization (SPAD) offers an efficient, eco-friendly method for sample preparation by combining extraction and derivatization. This review highlights SPAD

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Area of Science:

  • Analytical Chemistry
  • Sample Preparation Techniques

Background:

  • Analytical derivatization (AD) enhances sensitivity, selectivity, and chromatographic separation in analyses.
  • Solid phase analytical derivatization (SPAD) integrates extraction and derivatization for improved sample preparation.

Purpose of the Study:

  • To review the diverse applications of SPAD.
  • To explore SPAD's integration with various sample preparation methods.

Main Methods:

  • Review of literature on SPAD applications.
  • Focus on SPAD combined with solid phase extraction (SPE), ion exchange resins, solid phase microextraction (SPME), in-tube extraction, microfluidic devices, and hollow fiber extraction.

Main Results:

  • SPAD offers economical and low-organic-solvent consumption sample preparation.
  • SPAD is easily automated and applicable to complex matrices.
  • SPAD demonstrates versatility when coupled with multiple extraction techniques.

Conclusions:

  • SPAD is a valuable technique for efficient and green sample preparation in analytical chemistry.
  • The combination of SPAD with various extraction methods expands its applicability across diverse analytical challenges.