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Papers
20 resultsShowing papers similar to Analysis and differentiation of toxic and non-toxic cyanobacteria using Raman spectroscopy
ClearRaman spectroscopy based detection and classification of algal blooms: A microchemical approach for environmental management
This study applied Raman spectroscopy as a microchemical tool for detecting and classifying algal blooms linked to eutrophication in aquatic ecosystems. Researchers found that the technique can identify bloom-forming organisms and associated contaminants, offering a promising approach for environmental monitoring and management of water quality issues connected to nutrient pollution.
Understanding the Risks of Diffusion of Cyanobacteria Toxins in Rivers, Lakes, and Potable Water
This review covers the health risks of cyanobacteria (blue-green algae) toxins found in rivers, lakes, and drinking water, which can damage the liver and nervous system in humans. While not directly about microplastics, the research is relevant because microplastics in water can interact with cyanobacteria and their toxins, potentially serving as carriers that concentrate these harmful substances. The paper discusses various water treatment methods for removing cyanotoxins, many of which are also applicable to microplastic removal.
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.
Microplastic characteristics differentially influence cyanobacterial harmful algal bloom microbial community membership, growth, and toxin production
Researchers investigated how different types of microplastics influence the growth and toxin production of harmful algal blooms in freshwater. They found that certain microplastic characteristics, such as shape and polymer type, significantly affected which microbial species thrived and how much toxin was produced. The study suggests that microplastic pollution may play an underappreciated role in worsening harmful algal blooms in lakes and reservoirs.
Detection ofMicroplastics Pollution Using a GreenFluorescent Protein-Based Microbial Biosensor Coupled with Raman Spectroscopy
Researchers developed a biosensor combining a green fluorescent protein-based microbial reporter with Raman spectroscopy for detecting microplastic pollution in aquatic environments. The dual approach enabled both qualitative identification and polymer-specific characterisation of MPs at lower cost than conventional spectroscopic methods alone.
Spectroscopies infrarouge et Raman de microalgues : étude des interactions avec des micro et nanoparticules
Researchers used Raman and infrared spectroscopy to study how freshwater microalgae interact with micro- and nanoparticles including plastics, without requiring extensive sample preparation. These rapid vibrational spectroscopy techniques can detect early cellular effects of particle exposure in organisms at the base of the food chain.
Identification of microplastics in the aquatic environment, or in the presence of algae Chlorella sp., by comparison of biophotonic methods
Researchers compared multiple light-based (biophotonic) methods — including FTIR, Raman spectroscopy, and fluorescence microscopy — for identifying microplastics in water samples containing algae, which can make detection much harder. They found that combining multiple methods improves accuracy and allows for real-world monitoring of microplastics in complex aquatic environments where other organic material is present.
Quantitative analysis of microplastics in water by Raman spectroscopy: influence of microplastic concentration on Raman scattering intensities
Researchers investigated quantitative Raman spectroscopy for detecting microplastics directly in water, finding that Raman scattering intensities varied with concentration for both PVC spheres (40-100 um) and PE spheres (40-48 um) dispersed in de-ionized water at 0.1-1.0 wt%.
Imaging and spectroscopic analysis of pathogens in water, and their classification with machine learning algorithms
Researchers developed an integrated approach for automated classification of cyanobacterial pathogens in water using dark-field illumination imaging combined with Raman spectroscopy, with machine learning algorithms applied for rapid species identification. The system aims to reduce pathogen detection times in water quality monitoring compared to conventional culture-based methods.
Spatio-temporal variation of toxin-producing gene abundance in Microcystis aeruginosa from Poyang Lake
This paper is not relevant to microplastics; it investigates the spatio-temporal variation of toxin-producing gene abundance in the cyanobacterium Microcystis aeruginosa in Poyang Lake, China.
Quantitative and Qualitative Differences of Common Microplastic Detection Procedures: Nile Red- assisted Fluorescence Microscopy and Confocal Micro-Raman Spectroscopy
Researchers compared Nile Red-assisted fluorescence microscopy and confocal micro-Raman spectroscopy for microplastic detection, finding an overall percentage difference of 421% between methods, with better agreement at smaller particle sizes and Raman spectroscopy offering superior ability to distinguish microplastics from organic matter.
Nanoparticles for Mitigation of Harmful Cyanobacterial Blooms
This review examines how nanoparticles can be used to control harmful algae blooms in water, covering methods like photocatalysis, flocculation, and toxin removal. While not directly about microplastics, the research is relevant because microplastics and nanoplastics in water can interact with these same treatment approaches. Understanding nanoparticle behavior in water ecosystems also helps researchers predict how nanoplastic pollutants affect aquatic life.
Detection of Microplastics Pollution Using a Green Fluorescent Protein-Based Microbial Biosensor Coupled with Raman Spectroscopy
Researchers developed a biosensor using a green fluorescent protein-producing bacterium that lights up in the presence of microplastics, combined with Raman spectroscopy for confirmation. The system could detect microplastics at concentrations as low as 0.1 milligrams per liter within 24 hours. This biological detection approach offers a potentially faster and less expensive alternative to conventional microplastic analysis methods.
Identification of Microplastics Using a Custom Built Micro-Raman Spectrometer
Researchers built a custom micro-Raman spectrometer and demonstrated its use for identifying microplastic polymer types in environmental samples, achieving sensitive and specific polymer identification at particle sizes down to a few micrometers.
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.
A review of recent progress in the application of Raman spectroscopy and SERS detection of microplastics and derivatives
This review covers advances in using Raman spectroscopy and surface-enhanced Raman spectroscopy (SERS) to detect and identify microplastics in the environment. These techniques offer high resolution and sensitive detection that can identify specific plastic types even at very small sizes. Better detection methods are essential for understanding the true extent of microplastic contamination and its potential risks to human health.
Interactions between cyanobacteria and emerging contaminants in aqueous environments
A review examined how cyanobacteria interact with emerging contaminants including microplastics in aquatic environments, finding that plastic surfaces can harbor cyanobacterial growth and influence toxin production. The interactions complicate pollution assessment and may amplify ecological risks in nutrient-rich waters.
Adsorption of cyanotoxins on polypropylene and polyethylene terephthalate: Microplastics as vector of eight microcystin analogues
Eight microcystin analogues were tested for adsorption onto polypropylene and polyethylene terephthalate microplastics, finding that these common plastics can bind cyanotoxins from freshwater environments. The study identifies microplastics as potential vectors for cyanobacterial toxins in lakes and reservoirs, with implications for drinking water safety.
Visualization and characterisation of microplastics in aquatic environment using a home-built micro-Raman spectroscopic set up
Researchers built an affordable micro-Raman spectroscopy system capable of identifying microplastics in water samples, offering a low-cost alternative to expensive commercial equipment. The system could visualize, measure, and chemically identify different types of microplastic particles. This kind of accessible detection technology is important, especially for developing countries, because widespread monitoring of microplastic pollution in water sources is essential for protecting public health.
Raman spectroscopy for microplastic detection in water sources: a systematic review
This systematic review summarizes how Raman spectroscopy, a type of light-based analysis, is used to identify microplastics in drinking water, oceans, and wastewater. Polystyrene, polyethylene, and polypropylene were among the most commonly detected plastics across all water sources. Better detection methods like this are essential for understanding the extent of microplastic contamination in the water we drink.