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Updated: Jan 25, 2026

Development of a Lateral Flow Immunochromatographic Strip for Rapid and Quantitative Detection of Small Molecule Compounds
Published on: November 13, 2021
A Rapid, Simple, and Low-Cost CD4 Cell Count Sensor Based on Blocking Immunochromatographic Strip System.
Wei Xiao, Meng Xiao, Shuange Yao
1Department of Oncology, The First Affiliated Hospital , Jinan University , Guangzhou , Guangdong 510630 , China.
A new fluorescent immunochromatographic strip (ICS) system offers a rapid, low-cost method for counting CD4+ T lymphocytes (CD4 cells). This novel assay shows high correlation with flow cytometry, making it ideal for resource-limited settings.
Area of Science:
- Immunology
- Biotechnology
- Medical Diagnostics
Background:
- CD4+ T lymphocyte (CD4 cell) counting is crucial for assessing immune function in HIV and cancer patients.
- There is a clinical need for rapid, simple, accurate, and affordable CD4 cell counting methods.
Purpose of the Study:
- To design and develop a novel fluorescent immunochromatographic strips (ICS) system for CD4 cell counting.
- To evaluate the performance and clinical applicability of the developed ICS system.
Main Methods:
- Developed a fluorescent ICS system based on a blocking principle to indirectly measure CD4 cells.
- Quantified CD4 cells by measuring the fluorescence intensity of unbound fluorescent antibodies.
- Validated the system using peripheral blood mononuclear cells (PBMC) and whole blood samples.
Main Results:
- The CD4 count-ICS demonstrated a quasilinear response to logarithmic CD4 cell concentrations (50-1000 cells/μL) in PBMCs (R² = 0.96).
- The assay showed a linear correlation (R² = 0.976) for CD4 cell concentrations (100-800 cells/μL) in whole blood.
- Results from 54 blood samples showed high correlation (R² > 0.97) with flow cytometry (FCM) analysis.
Conclusions:
- The fluorescent ICS system provides a reliable method for CD4 cell counting.
- The system exhibits a high coincidence rate with FCM analysis.
- This CD4 count ICS system is a promising candidate for CD4 cell enumeration in resource-limited settings.
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