Related Experiment Video
Updated: Nov 23, 2025

10:16
Author Spotlight: Development of Simplified CRISPR-Based Tests for Rapid Detection of Infectious Diseases
Published on: August 16, 2024
1.7K
Pre-analytical Practices in the Molecular Diagnostic Tests, A Concise Review.
Maryam Sotoudeh Anvari1, Atoosa Gharib2, Maryam Abolhasani3
1Molecular Pathology and Cytogenetics Division, Pathology Department, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran.
Iranian Journal of Pathology
|January 4, 2021
Summary
Proper handling of biological specimens is crucial for accurate molecular testing. Following best practices in sample collection, transport, and storage minimizes pre-analytical errors, ensuring reliable diagnostic and therapeutic decisions.
Area of Science:
- Clinical Diagnostics
- Molecular Biology
- Laboratory Medicine
Background:
- Molecular assays are vital for diagnosis and treatment decisions.
- Pre-analytical errors significantly impact molecular laboratory results.
- Inconsistent sample handling affects nucleic acid integrity.
Purpose of the Study:
- To review critical pre-analytical variables in molecular testing.
- To provide recommendations for optimal sample handling from collection to analysis.
- To address pre-analytical considerations across diverse specimen types.
Main Methods:
- Literature review of pre-analytical issues in molecular diagnostics.
- Discussion of best practices for specimen collection, transportation, and storage.
- Analysis of pre-analytical factors for various sample types (tissues, blood, body fluids).
Main Results:
- Pre-analytical variables significantly influence molecular assay performance.
- Standardized protocols are needed to minimize errors.
- Proper sample handling is essential for accurate molecular test results.
Conclusions:
- Adherence to best practices in pre-analytical sample handling is essential for reliable molecular diagnostics.
- Recommendations for sample management across various biological specimens are provided.
- Minimizing pre-analytical errors improves patient diagnosis and treatment outcomes.

