Vibrational Spectroscopy of Peritoneal Dialysis Effluent for Rapid Assessment of Patient Characteristics.

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作者： Tom,Grunert ^[1] ; Rebecca,Herzog ^[2] ; Florian M,Wiesenhofer ^[3] ; Andreas,Vychytil ^[2] ; Monika,Ehling-Schulz ^[3] ; Klaus,Kratochwill ^[4]

作者单位： Functional Microbiology, Institute of Microbiology, Department of Pathobiology, University of Veterinary Medicine, Veterinaerplatz 1, 1210 Vienna, Austria. ^[1] Christian Doppler Laboratory for Molecular Stress Research in Peritoneal Dialysis, Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, 1090 Vienna, Austria. ^[2] Division of Pediatric Nephrology and Gastroenterology, Department of Pediatrics and Adolescent Medicine, Comprehensive Center for Pediatrics, Medical University of Vienna, 1090 Vienna, Austria. ^[3] Division of Nephrology and Dialysis, Department of Medicine III, Medical University of Vienna, 1090 Vienna, Austria. ^[4]

关键词 FTIR machine learning metabolites molecular signatures peritoneal dialysis peritoneum peritonitis photonic-based diagnostics vibrational spectroscopy

主题词算法(Algorithms);交叉研究(Cross-Over Studies);人类(Humans);肾功能衰竭, 慢性(Kidney Failure, Chronic);腹膜透析(Peritoneal Dialysis);主成分分析(Principal Component Analysis);前瞻性研究(Prospective Studies);谱学, 傅里叶变换红外(Spectroscopy, Fourier Transform Infrared)

DOI 10.3390/biom10060965

PMID 32604921

发布时间 2021-04-12

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Biomolecules

2020年10卷6期

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Vibrational Spectroscopy of Peritoneal Dialysis Effluent for Rapid Assessment of Patient Characteristics.

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Vibrational Spectroscopy of Peritoneal Dialysis Effluent for Rapid Assessment of Patient Characteristics.

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