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High-throughput, low volume d-ROMs and BAP assays: 384-well plate method for large-scale studies
Goki Yamada1,2,3, Sudarma Bogahawaththa4, Yuichiro Nishida1
1Department of Preventive Medicine, Faculty of Medicine, Saga University.
Environmental Health and Preventive Medicine
|July 5, 2026
Summary
A new semi-automated assay system significantly reduces serum volume and cost for measuring oxidative balance markers. This high-throughput method enhances the feasibility of large-scale oxidative stress research.
Area of Science:
- Biochemistry
- Clinical Chemistry
- Analytical Chemistry
Background:
- Conventional d-ROMs and BAP serum tests are valuable oxidative balance markers.
- Current assays require 30 µL serum and 10 minutes per sample, limiting large studies due to cost and throughput.
- Existing methods offer calibration-free operation and flexibility but are not scalable.
Purpose of the Study:
- To develop a high-throughput, cost-effective assay system for d-ROMs and BAP measurements.
- To reduce serum sample volume and labor time for oxidative stress marker analysis.
- To enable large-scale research on oxidative stress and health.
Main Methods:
- A semi-automated system using a pipetting robot and 384-well plates was developed.
- The system processes up to 144 samples (288 assays) simultaneously using only 5.0 µL serum per sample.
- Optimized incubation and sample preparation (centrifugation for BAP) were established for linearity and stability.
Main Results:
- The new method significantly reduced serum requirements (83%) and reagent use (86-93%).
- Labor time decreased by approximately 80% while maintaining high agreement with conventional methods for non-turbid samples.
- The system accurately measured oxidative stress markers even in lipemic and turbid serum samples, with low coefficients of variation (1-17%).
Conclusions:
- A high-throughput, cost-effective in-house assay system for d-ROMs and BAP has been developed.
- This system facilitates accurate oxidative stress marker measurement in large-scale studies, even with challenging sample types.
- The optimized assay supports robust, evidence-based research on oxidative stress and its relation to health.

