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Sample Preparation for Analysis: Overview

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 Techniques

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Preparation of Samples for Electron Microscopy

Preparation of Samples for Electron Microscopy

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Sample Handling

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Proteomic Sample Preparation from Formalin Fixed and Paraffin Embedded Tissue

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Sample preparation and processing.

¹Division of Clinical Chemistry Institute of Medical and Veterinary Science Box 14 Rundle Mall Post Office Adelaide South Australia 5000 Australia.

The Journal of Automatic Chemistry

|January 1, 1991

Summary

This summary is machine-generated.

Sample preparation errors significantly impact immunoassay accuracy. Mechanization of fluid handling, driven by computing advances, reduces these errors, with laboratory needs dictating the extent of automation.

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Area of Science:

Analytical Chemistry
Laboratory Automation
Biotechnology

Background:

Sample preparation is a major source of analytical error in immunoassays.
Manual fluid handling systems have historically contributed to assay variability.
The need for improved accuracy and efficiency in immunoassays is critical.

Purpose of the Study:

To highlight the impact of sample preparation errors on immunoassay results.
To discuss the role of mechanization in reducing these errors.
To explore the influence of computing technology on laboratory automation.

Main Methods:

Review of improvements in manual fluid handling systems.
Analysis of the mechanization of individual sample preparation steps.
Examination of the role of computing hardware and software advancements.

Main Results:

Improvements in fluid handling and mechanization have reduced sample preparation errors.
Developments in computing have significantly stimulated the mechanization process.
Laboratory workflow and workload are key factors in determining mechanization needs.

Conclusions:

Mechanization of sample preparation is essential for minimizing immunoassay analytical error.
Technological advancements in computing are driving increased automation in laboratories.
The level of laboratory mechanization should be tailored to specific workflow and workload demands.