• First application of Schweizer’s reagent for cellulose removal in stool prior to MP analysis. • Efficient, fast, and economical protocol with 99.8% matrix removal and 98% MP recovery. • Preserves polymer integrity, enabling reliable µ-FTIR identification. • Successfully applied to pediatric stool samples • Provides a robust workflow toward standardization in clinical and environmental MP analysis. . Reliable methods for the isolation of microplastics (MPs) from human feces are essential for advancing exposure and health risk assessment. However, the cellulose-rich fecal matrix is analytically very challenging. This study evaluated two different pre-treatments in protocols for MPs isolation from fecal samples. Protocol A, involved pre-treatment with a urea/thiourea/KOH (UTS) solution, followed by a comprehensive four-step digestion process (acidic, enzymatic, alkaline, and oxidative digestion) and Protocol B, involved Schweizer’s reagent (copper(II) hydroxide in ammonium hydroxide, SR) for pre-treatment, followed by the same four digestion steps. The protocol based on SR pre-treatment was further optimized. The developed protocol achieved >99.8% removal of biological matrix and a 98 ± 3% recovery rate across five polymer standards, without interfering with polymer identification by µ-FTIR. The method was successfully applied to children’s stool samples, detecting MPs in 7 of 14 cases with concentrations ranging from 1.18 to 7.25 items g − ¹ feces. The size of the detected MPs ranged from 40 to 300 μm. Polyethylene was the dominant polymer (56%), and fragments represented the main morphology (69%). Compared to conventional digestion workflows, the SR-based approach offers clear advantages in efficiency, reproducibility, and cost, making it well-suited for routine application in clinical and environmental health laboratories. By facilitating standardization in fecal MP analysis, this method may provide a practical tool for large-scale biomonitoring studies. Building on its established use in ASTM D8333 for water and wastewater, this is the first application of SR to cellulose-rich biological matrices. .
Ilić et al. (2026) studied this question.