Immunophenotyping of acute leukemia using an integrated piezoelectric immunosensor array

Hua Wang1, Hui Zeng, Zhimin Liu

  • 1State Key Laboratory for Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, PR China.

Analytical Chemistry
|April 15, 2004
PubMed

Insights

A novel piezoelectric immunosensor array enables rapid immunophenotyping of acute leukemia by detecting leukocyte antigens. This technology offers a quick, simple tool for diagnosing and classifying leukemia, even with unpurified samples.

Area of Science:

  • Biomedical Engineering
  • Immunology
  • Analytical Chemistry

Background:

  • Immunophenotyping is crucial for acute leukemia diagnosis, therapy, and prognosis.
  • Accurate and rapid immunophenotyping methods are needed for clinical applications.

Purpose of the Study:

  • To develop an integrated piezoelectric immunosensor array for acute leukemia immunophenotyping.
  • To detect differentiated leukocyte antigens for rapid and accurate leukemia classification.

Main Methods:

  • Fabrication of a piezoelectric immunosensor array using plasma-polymerized n-butylamine film and gold nanoparticles.
  • Immobilization of leukemic lineage-associated monoclonal antibody fragments onto the sensor probes.
  • Detection of leukocyte antigens using the developed immunosensor array for immunophenotyping.

Main Results:

  • The immunosensor array successfully differentiated normal cells from leukemic blasts.
  • It identified leukemic blasts within specific phenotypic groups in a single analysis.
  • The system detected unpurified leukocytes across a concentration range of 10^4-10^6 cells/mL.
  • High sensitivity was maintained over 17 regeneration cycles using 8 M urea.
  • Results from practical specimens showed good agreement with clinical classifications.

Conclusions:

  • The developed piezoelectric immunosensor array provides a rapid, simple, and direct method for clinical immunophenotyping of acute leukemia.
  • This multiparameter analysis technique offers a valuable alternative for leukemia diagnosis and classification.

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