0
Article Tier 2 Detection Methods Food & Water Marine & Wildlife Policy & Risk Sign in to save

Non-Collinear Optical Parametric Oscillator for Video Rate Stimulated Raman Spectroscopy of Microplastics

2019

AI summary Read the abstract

This paper presents a non-collinear optical parametric oscillator (NOPO) with a fast-tunable output between 650 and 950 nm, used to demonstrate video-rate stimulated Raman scattering spectroscopy of microplastics in a water flow. The ultrafast tuning capability (over 100 nm/ms) enables real-time identification and imaging of microplastic particles.

Study Type Environmental

Microplastics are widely spread in our global environment. We find them not only in our oceans and inland waters all over the world but also increasingly in our drinking water [1]. This is even more alarming by the fact that toxins or contaminations often accumulate those particles and their impact of the environment is widely uninvestigated. Femtosecond Optical Parametric Oscillators are very suitable for microscopy and spectroscopy experiments due to their broadband tuning range at high output power [2,3]. Because of the unique ultrabroadband phasematching conditions in BBO-crystals, OPOs in non-collinear geometry [4] allow for very fast tuning speeds and values of more than 100 nm/ms have been demonstrated [5]. Here, we present a Non-collinear Optical Parametric Oscillator (NOPO) with a fast tunable output spectrum between 650 and 950 nm, which we use to demonstrate Stimulated Raman Scattering of microplastics in a water flow in video rates.

More Papers Like This

Article Tier 2

Real-time stimulated Raman spectroscopy with a non-collinear optical parametric oscillator

AI summary Read the abstract

Researchers developed a fast, tunable Raman spectroscopy system to detect microplastics in real time using a non-collinear optical parametric oscillator. The technique could enable live water quality monitoring for microplastic contamination in flow systems.

Article Tier 2

Flow Raman Spectroscopy for the Detection and Identification of Small Microplastics

AI summary Read the abstract

Researchers developed a new method using flow Raman spectroscopy to detect and identify individual microplastic particles as small as 4 micrometers while they move through water. Unlike current methods that require complex sample preparation, this technique could work in real time for monitoring food and drinking water quality. The method can distinguish between different plastic types even after they have been weathered by the environment.

Article Tier 2

Microplastics Detection in Streaming Tap Water with Raman Spectroscopy

AI summary Read the abstract

Researchers demonstrated that Raman spectroscopy can detect and identify microplastic particles in streaming tap water in real time, offering a rapid non-destructive method for monitoring plastic contamination in drinking water.

Article Tier 2

A Dual-Laser Raman Strategy for Fast and Direct Detection and Quantification of Microplastics in Water

AI summary Read the abstract

Researchers developed a dual-laser Raman strategy that simultaneously captures backscattering and transmission signals from two 532 nm lasers to quantify microplastics directly in water without filtration or drying, achieving roughly 1.5- to 3-fold greater signal stability and accurate real-time particle counting at 0.1-second temporal resolution.

Article Tier 2

Flow Plastometry of Microplastics Using Optical Line Tweezers

AI summary Read the abstract

Researchers developed a novel system using Raman spectroscopy combined with optical line tweezers to simultaneously analyze the shape and chemical composition of microplastics flowing through a channel. The technique can capture and characterize particles as small as 500 nanometers, offering a potential tool for real-time monitoring of microplastics in water environments.

Research digests by email

When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.

Email me about

Share this paper