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Preparation of Internal Quality Control Material for Lymphocyte Subset Analysis
Eun Youn Roh1,2, Sue Shin1,2, Jong Hyun Yoon1,2
1Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Korea.
Annals of Laboratory Medicine
|May 4, 2016
Summary
This study presents a cost-effective method for preparing homemade quality control (QC) materials for lymphocyte subset analysis. The optimal protocol involves fixation with paraformaldehyde and freezing with dimethylsulfoxide for reliable results in resource-poor settings.
Area of Science:
- Clinical laboratory diagnostics
- Immunology
- Biotechnology
Background:
- Lymphocyte subset analysis is crucial for clinical diagnostics, requiring reliable quality control (QC) materials.
- Commercially available QC materials are often expensive and have limited shelf lives, posing challenges for resource-poor settings.
Purpose of the Study:
- To develop and validate a cost-effective method for preparing homemade internal QC materials for lymphocyte subset analysis.
- To identify optimal conditions for fixation, freezing, and cryopreservation of these homemade QC materials.
Main Methods:
- Comparison of various fixation methods (paraformaldehyde concentrations), freezing solutions (dimethylsulfoxide, BSA-PBS, ethanolic dehydration), and cryopreservation temperatures (-20°C, -80°C, -196°C).
- Evaluation of long-term stability of QC materials prepared under optimal conditions (4% PFA, 10% DMSO, -80°C) over 1-2 months.
- Lymphocyte subset analysis using BD Multitest IMK kit.
Main Results:
- Optimal preparation involved fixation with 4% paraformaldehyde (PFA), freezing with 10% dimethylsulfoxide (DMSO), and storage at -80°C.
- Homemade QC materials (QM1 and QM2) demonstrated stability for 1-2 months of cryopreservation.
- Acceptable coefficients of variation (CV <3% for CD3, CD4, CD8; 5-7% for CD16/56, CD19) were achieved.
Conclusions:
- The proposed method offers a viable, cost-effective alternative for preparing internal QC materials for lymphocyte subset analysis.
- This approach enhances the accessibility of reliable diagnostic testing in resource-limited laboratory environments.

