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Related Experiment Video

Updated: May 25, 2026

Homogeneous Time-resolved Förster Resonance Energy Transfer-based Assay for Detection of Insulin Secretion
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Homogeneous Time-resolved Förster Resonance Energy Transfer-based Assay for Detection of Insulin Secretion

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An aptamer based on-plate microarray for high-throughput insulin detection by MALDI-TOF MS.

Xueyang Zhang1, Shaochun Zhu, Chunhui Deng

  • 1Department of Chemistry and Institute of Biomedical Science, Fudan University, Shanghai, China.

Chemical Communications (Cambridge, England)
|February 7, 2012
PubMed
Summary

A new aptamer microarray on a MALDI target plate enables rapid, high-sensitivity insulin detection in standard solutions and serum. This method offers a promising tool for biomarker analysis.

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Area of Science:

  • Biotechnology
  • Analytical Chemistry
  • Biomarker Detection

Background:

  • Insulin detection is crucial for diagnosing and managing diabetes.
  • Current detection methods can be complex and time-consuming.
  • A need exists for rapid, sensitive, and high-throughput diagnostic tools.

Purpose of the Study:

  • To develop a novel aptamer microarray for direct, high-throughput insulin detection.
  • To evaluate the sensitivity and applicability of the developed method in biological samples.

Main Methods:

  • Fabrication of an aptamer microarray directly on a MALDI (Matrix-Assisted Laser Desorption/Ionization) target plate.
  • Detection of insulin using the fabricated aptamer microarray.
  • Sensitivity assessment in standard solutions and human serum samples.

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Main Results:

  • The aptamer microarray demonstrated high sensitivity for insulin detection.
  • Detection limits achieved were 5 ng mL(-1) (0.86 nM) in standard solutions.
  • A sensitivity of 20 ng mL(-1) (3.4 nM) was achieved in serum samples.

Conclusions:

  • Direct fabrication of aptamer microarrays on MALDI target plates is effective for high-throughput insulin detection.
  • The developed method offers high sensitivity and potential for clinical applications.
  • This approach shows significant promise for advancing biomarker detection technologies.