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This study was conducted to establish the best practice for microplastic analysis by reducing the time demand and human bias and comparing the characteristics of μ-FTIR and Raman techniques. A manual analysis, semi-automated method, and fully automatic identification method were compared. Fully automated identification took the shortest time to analyze a whole filter paper (Ø25 mm), but its false positive identification rate was 80 ± 15%. The semi-automated analysis using spectrum profiling was suitable for all aspects of microplastic anal