We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Raman spectroscopy: Recent advances in fast and reliable microplastic analysis
Summary
This review summarized recent advances in Raman spectroscopy for fast and reliable microplastic identification, covering improvements in speed, sensitivity, and automation that are making the technique more practical for routine environmental monitoring. Raman-based methods are increasingly able to identify microplastics in complex environmental matrices including biological tissues.
The presence of microplastics in the environment raises serious public concern due to their persistence in nature and potential negative effects on living organisms and human health. Particular attention is given to the smallest particles, as they have the ability to penetrate living tissues and cells, causing more harmful effects than larger particles measuring tens of microns [1-2]. To conduct a thorough risk assessment and better understand the consequences of microplastics exposure, robust analytical techniques for measuring microplastics concentration in various matrices are essential. Raman micro-spectroscopy is recognized as one of the reference techniques for microplastics analysis [3]. With optimized sample preparation, this method can detect the smalles microplastic particles (down to 0.5 micron) at traces level. When analyzing real samples, which often involve thousands of particles, it is crucial to balance precision and analysis time. This presentation will focus on the latest developments in instrumentation and analytical approaches, discussing the workflow design and data treatment strategies to maintain high precision in particle characterization while ensuring reasonable analysis time. [1] Li, Penghui, Jingfu Liu, Micro (nano) plastics in the Human Body: Sources, Occurrences, Fates, and Health Risks, Environmental Science & Technology (2024) [2] Melina Yarbakht, George Sarau, Lasse Kling, Janina Müller-Deile, Ahmed Kotb, Silke Christiansen, Mario Schiffer, Analyzing the effect of microplastic particles on human podocytes, Nephrology Dialysis Transplantation, Volume 36, Issue Supplement_1 ( 2021) [3] ISO/DIS 16094-2 Also see: https://micro2024.sciencesconf.org/559183/document
Sign in to start a discussion.
More Papers Like This
Raman spectroscopy: Recent advances in fast and reliable microplastic analysis
This review covered recent advances in Raman spectroscopy for fast and reliable microplastic analysis, with emphasis on its ability to characterize small particles that can penetrate living tissues. The authors highlight improvements in speed and sensitivity that are making Raman techniques more practical for environmental monitoring.
Identification of microplastics using Raman spectroscopy: Latest developments and future prospects
This review summarizes the latest advances in using Raman spectroscopy to identify microplastics in environmental samples, highlighting improvements in speed, sensitivity, and the ability to characterize plastic type and surface chemistry.
Study on Rapid Recognition of Marine Microplastics Based on Raman Spectroscopy
Researchers developed a rapid identification system for marine microplastics using Raman spectroscopy, enabling quick determination of plastic type and size. Fast, accurate identification tools are critical for monitoring the growing problem of microplastic pollution in ocean environments.
Fast microplastics identification with stimulated Raman scattering microscopy
Stimulated Raman scattering microscopy was applied to rapidly identify and image microplastic particles in complex environmental samples at speeds dramatically faster than conventional Raman spectroscopy. The technique has potential to enable high-throughput microplastic analysis that could make large-scale environmental monitoring more feasible.
Microplastic identification using Raman microsocpy
Researchers developed and implemented a Raman spectroscopy system for rapid detection and identification of microplastic particles on substrates. The system enables efficient chemical characterization of microplastics found across diverse environmental matrices including ocean, lakes, soil, beach sediment, and human blood.