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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Spectral analysis is used for the precise determination of the chemical composition of metallic materials. With Optical Emission Spectrometry (OES) and X-ray Fluorescence Analysis (XRF), even the smallest alloying elements can be reliably detected. Atomic spectroscopy instruments can be divided into three basic types, depending on whether the phenomenon measured is based on light absorption, emission or fluorescence. Although atomic fluorescence can provide lower detection limits for some metal ions, these instruments are less commonly.
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In literature from ancient Rome there are complaints of foul air, while in 1273 the inhabitants of London were discussing the prohibition of coal burning to improve air quality. However, the measurement and analysis of aerosols only became established in the second half of the 19th century. In 1847 presented the first concept of particles in the air in his condensation nuclei experiment and his ideas were confirmed in later experiments by Coulier in 1875.
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An optical spectrometer (spectrophotometer, spectrograph or spectroscope) is an instrument used to measure properties of over a specific portion of the, typically used in to identify materials. The variable measured is most often the of the light but could also, for instance, be the state.
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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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