2022
DOI: 10.1016/j.talanta.2022.123486
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Non-targeted metallomics through synchrotron radiation X-ray fluorescence with machine learning for cancer screening using blood samples

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Cited by 11 publications
(5 citation statements)
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“…The microscopic X-ray fluorescence (μ-XRF) analysis was performed at the beamline of 4W1B, BSRF, which runs 2.5GeV with a current of 250 mA. A polychromatic beam (pink beam) with the energy of 10–18 keV was used as the incident X-rays . The mapping was acquired by fly-scan mode using Mamba data acquisition software. , The mapping was performed with a beam size of 50 × 50 μm 2 .…”
Section: Methodsmentioning
confidence: 99%
“…The microscopic X-ray fluorescence (μ-XRF) analysis was performed at the beamline of 4W1B, BSRF, which runs 2.5GeV with a current of 250 mA. A polychromatic beam (pink beam) with the energy of 10–18 keV was used as the incident X-rays . The mapping was acquired by fly-scan mode using Mamba data acquisition software. , The mapping was performed with a beam size of 50 × 50 μm 2 .…”
Section: Methodsmentioning
confidence: 99%
“…The use of SR-XRF spectrometry for biochemical research has received some interest in this review period. He et al 152 investigated the application of non-targeted metallomics for cancer screening in blood serum using SR-XRF spectrometry and machine learning. Samples from cancer patients ( n = 100) and controls ( n = 100) were qualitatively and rapidly analysed by SR-XRF spectrometry (5 s acquisition time) and the data was used to build machine learning algorithms.…”
Section: Applications: Clinical and Biological Materialsmentioning
confidence: 99%
“…The mapping was performed with a beam size of 50 × 50 µm 2 . A four-element Hitachi Vortex ® -ME4 silicon drift detector coupled to a Quantum Detectors Xspress3 multi-channel analyzer system was used [42]. Spectral data were normalized by PyMCA [43] (Python multichannel analyzer) and then plotted by Origin 9.0 (OriginLab).…”
Section: The Distribution and Transformation Of W And Se In Rice Tissuesmentioning
confidence: 99%