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Quantum photonics detection of environmental microplastics (Conference Presentation)
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Researchers proposed using quantum photonics and entangled photons to build a new class of compact mid-infrared spectrometers for detecting microplastics in the environment. Traditional mid-infrared instruments are large and fragile, limiting field use. A quantum-based spectrometer could enable portable, on-site microplastic identification in water and air samples.
Plastic waste, especially microplastics, is a growing environmental problem. Mid infrared spectroscopy (MIR) is suitable for determining microplastics contamination. Currently, the required measuring devices are large and not robust enough for mobile and on site monitoring. Here we describe a concept using Quantum Photonics for a new class of MIR spectrometers based on the entangled photons principle. The system can be made compact and robust with readily available components. The combination with new microfluidics chips, suitable for MIR detection and artificial intelligence for automated image analysis and particle identification will open up completely new possibilities for environmental analysis and monitoring.
More Papers Like This
Mid-IR hyperspectral imaging with undetected photons
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This study demonstrates a proof-of-concept quantum imaging technique that uses entangled photon pairs to generate mid-infrared hyperspectral images without requiring a mid-infrared camera, and successfully used it to detect microplastics from bottled drinking water. The method is significant because it could enable compact, affordable microplastic detection instruments that don't rely on expensive infrared hardware currently limiting widespread monitoring.
Mid-IR hyperspectral imaging with undetected photons
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This is not a microplastics research paper; it is an optics study presenting a proof-of-concept mid-infrared hyperspectral imaging instrument using nonlinear quantum interferometry, intended for environmental monitoring and biomedical diagnostics, without specific application to microplastic detection.
Mid-IR hyperspectral imaging with undetected photons
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This is not a microplastics research paper; it presents a physics-based mid-infrared hyperspectral imaging technique using quantum optics (undetected photons), developed for biomedical and environmental sensing applications broadly, without specific focus on plastic pollution.
Sensing techniques with undetected photons in the mid-infrared
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Researchers developed sensing techniques using undetected photons to achieve mid-infrared (MIR) spectroscopic analysis without direct MIR detection, addressing the high noise and cost limitations of conventional MIR sensors. The approach leverages quantum optical methods to transfer molecular fingerprint information from the MIR to the visible spectrum, enabling more efficient chemical identification with potential applications in microplastic detection.
Mid infrared spectroscopy applications using quantum cascade lasers for the identification of microplastic contaminants in aqueous solution
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Researchers reviewed the application of quantum cascade laser-based mid-infrared spectroscopy for identifying and quantifying microplastic contaminants in aqueous solution, examining how standalone compact laser sources, packaged liquid-phase spectrometers, and mid-IR microscopes can detect and classify individual plastic particles by their vibrational spectral signatures.
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When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.