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Updated: Jun 14, 2026

Protocol for Microplastics Sampling on the Sea Surface and Sample Analysis
Published on: December 16, 2016
Cross-platform detection of microplastics in human biological tissues: Comparing spectroscopic and chromatographic
Lin Zhang1, Jiaqi Tian1, Xiaodan Zhu2
1Clinical Medical Research Center for Women and Children Diseases, Key Laboratory of Birth Regulation and Control Technology of National Health Commission of China, Shandong Provincial Maternal and Child Health Care Hospital Affiliated to Qingdao University, Jinan 250001, China; Shandong Provincial Key Medical and Health Laboratory of Women's Occupational Exposure and Fertility Preservation, Jinan 250001, China; Jinan (Preparatory) Key Laboratory of Women's Diseases and Fertility Preservation, Jinan 250001, China.
Abstract:
Microplastic (MP) contamination in ecosystems underscores concerns about human bioaccumulation, yet analytical challenges persist due to complex biological matrices and polymer diversity. To systematically evaluate the efficacy of complementary analytical platforms, we conducted this study to systematically evaluate Raman microscopy and pyrolysis gas chromatography-mass spectrometry (py-GC/MS) for complementary MP detection in human biological samples. Building upon prior research frameworks, 48 paired endometrial and urine samples from parturient women were analyzed under rigorously controlled protocols to minimize exogenous contamination. Raman microscopy identified six polymer types, with polytetrafluoroethylene (PTFE) and polystyrene (PS) constituting primary components across both sample types. Particle size distributions spanned 1.23-6.98 μm, exhibiting comparable mean diameters in urine (2.85 ± 1.26 μm) and endometrial samples (2.89 ± 1.40 μm). Subsequent py-GC/MS analysis revealed previously undetected polymer co-occurrences (PS, PC, PE, and PVC) in samples initially classified as single-polymer PTFE or PS via Raman spectroscopy, thereby exposing inherent disparities in method-specific sensitivity and resolution. The follow-up multi-method comparison demonstrates that Raman microscopy excels in particle-specific morphological characterization, while py-GC/MS provides polymer quantification and composite identification. Our findings underscore the necessity of integrating orthogonal analytical approaches to overcome methodological limitations and achieve comprehensive MP profiling in complex biological systems.

