X-ray fluorescence spectrometry (XRF) is a well-established analytical atomic technique for qualitative and quantitative chemical analysis of environmental samples with various matrices and a wide eleme.
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This study proposes a deep-learning-based denoising method for fiber-optic sensors, which involves pre-processing the sensor spectrum into a 2D image and training with a cycle-consistent generative adversarial network (Cycle-GAN) model. Traditional spectrometers operate by mapping input signals of different wavelength to different spatial locations. In most implementations, signals within a spectral band are mapped to a specific area where a detector is placed to measure its intensity. Operated by a Raspberry Pi, the fiber-based spectrometer system uses the increased computing power to provide versatile modes of operation and powerful data processing, while maintaining a small size. Specifically crafted for basic chemistry and biology lab setups, where fibers allow measurements.
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7-THz emission of neutral atomic oxygen in the mesosphere and lower thermosphere of the Earth. This paper presents an overview of the design and actual performance of an oxygen spectrometer for atmospheric science on a balloon, the OSAS-B.
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Atomic absorption spectrometry, inductively coupled plasma-optical emission, and inductively coupled plasma-mass spectrometry provide the most sensitive copper quantification down to parts per trillion levels. This Spectroquant ® Copper Reagent Test allows the accurate quantification of the copper content in aqueous samples. Method applied: In an ammoniacal medium copper (II) ions react with cuprizone to form a blue complex which is determined photometrically. SPECTRO, the arc/spark innovation leader, has spent 40-plus years developing superlative OES instruments. Recently it's perfected solid-state detectors using proprietary CMOS+T technology to revolutionize high-end arc/spark OES analysis — with SPECTROLAB S. Monitoring copper in aqueous systems is critical for characterizing pollution sources and mitigat- ing human health risks. It features high precision, a wide range of analyzable elements, and quick testing capabilities.
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The information about the chemical composition of the soil is essential for agricultural, environmental, geological as well as in forensic science.
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