Scientists emphasize integrating multiple detection technologies to overcome limitations inherent in individual methods, such as size detection thresholds or interference from organic matter. Combining spectroscopy with advanced imaging and AI classification yields more comprehensive data on nanoplastic presence and composition, enabling better risk assessments and environmental monitoring. However, challenges remain in standardizing protocols and ensuring cross-laboratory reproducibility, especially at the nanoscale where particle behavior and detection sensitivity vary widely.