Automated analyses of dried blood spots collected by volumetric microsampling devices

Miloš Dvořák1, Pavel Kubáň1

  • 1Institute of Analytical Chemistry of the Czech Academy of Sciences, Veveří 97, CZ-60200, Brno, Czech Republic.

PubMed

Insights

This study introduces a novel automated system for analyzing dried blood spots (DBS) using capillary electrophoresis (CE). This method overcomes limitations of traditional DBS sampling, enabling accurate and efficient quantitative analysis of analytes like creatinine.

Area of Science:

  • Analytical Chemistry
  • Biomedical Engineering

Background:

  • Dried blood spot (DBS) analysis is challenged by variable hematocrit and chromatographic effects.
  • Commercial volumetric microsampling devices improve accuracy but require manual processing, hindering automation.

Purpose of the Study:

  • To develop and validate a fully automated system for processing and analyzing DBS samples collected with volumetric microsampling devices.
  • To leverage capillary electrophoresis (CE) for automated elution, homogenization, and quantitative analysis of DBS.

Main Methods:

  • Utilized an Agilent 7100 CE instrument for automated processing of hemaPEN® volumetric DBS samples.
  • Employed fused-silica capillaries for sequential liquid transfers (methanol and water) to elute and homogenize DBS.
  • Analyzed creatinine in DBS eluates using CE with capacitively coupled contactless conductivity detection (CE-C4D).

Main Results:

  • Achieved high repeatability for liquid transfers (<1.4%) and overall DBS processing/analysis (≤7.1% for peak areas).
  • Demonstrated linearity (R²=0.9993) and sensitivity (LOD=5.0 μM) for creatinine quantification across endogenous levels.
  • Confirmed robustness against DBS aging (60 days) and hematocrit variations (20-70%), with excellent inter-instrument transferability (≤7.7% peak area repeatability).

Conclusions:

  • This work presents the first fully automated analysis of DBS from commercial volumetric microsampling devices using a single off-the-shelf instrument.
  • The developed method offers a promising solution for high-throughput, unmanned quantitative DBS analysis, overcoming previous automation barriers.
Abstract