0
Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Detection Methods Environmental Sources Human Health Effects Marine & Wildlife Policy & Risk Sign in to save

Chemical Fingerprinting: Advances in Analytical Techniques for Environmental Monitoring

Revista latinoamericana de química 2025 1 citation ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 53 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Isabella Rossi, Isabella Rossi

Summary

This review examines advances in chemical fingerprinting techniques, including mass spectrometry and NMR spectroscopy, for identifying and tracking pollutants in the environment. Researchers discuss how these analytical methods can be applied to monitor complex chemical mixtures including microplastics across environmental media. The study suggests that improved fingerprinting approaches could enhance our ability to trace pollution sources and assess ecological risks.

Chemical fingerprinting has emerged as a powerful analytical tool for environmental monitoring, enabling the identification and quantification of complex mixtures of chemicals in various environmental matrices. This paper discusses recent advancements in analytical techniques used for chemical fingerprinting, including gas chromatography-mass spectrometry (GC-MS), liquid chromatography-mass spectrometry (LC-MS), and nuclear magnetic resonance (NMR) spectroscopy. We explore the applications of these techniques in environmental monitoring, particularly in tracking pollution sources, assessing ecosystem health, and ensuring compliance with environmental regulations. The paper also highlights future directions and challenges in the field of chemical fingerprinting.

Sign in to start a discussion.

Share this paper