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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 (MIR) sensing is of enormous interest in many industries due to its ability to identify samples through their MIR absorption spectrum, revealing highly specific molecular information. However, direct MIR sensing is limited by the inefficiency, noise, and high costs of current MIR detection technologies, along with the complexity of MIR sources. Our research focuses on overcoming these challenges through “sensing with undetected photons”. This technique uses nonlinear interferometry and strongly non-degenerate photon pairs to separate the probe and detection wavelengths, allowing MIR samples to be analysed with silicon-based detectors. This greatly reduces the size, weight, power, and cost of MIR sensing. We demonstrate the application of this principle to spectroscopy, optical coherence tomography, and wide-field microscopy, opening up a wide range of potential applications. Additionally, we present our progress towards industrial applications like environmental monitoring of microplastics and non-destructive testing of ceramics, marking a promising future for this technology.
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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.
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.
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.
Mid-IR hyperspectral imaging with undetected photons
AI summary Read the abstract
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 a duplicate entry for the mid-infrared quantum hyperspectral imaging study (same as ID 2868) — the content is identical.
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