ArticleChemical science2016
Sensitive and fast identification of bacteria in blood samples by immunoaffinity mass spectrometry for quick BSI diagnosis.
Article in Chemical science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Spiky Magnetic Titania Particles for Integrated Exosome Capture and Metabolic Profiling Toward Cancer Diagnosis.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Recent Advances in Bacterial Separation and Enrichment from Blood for the Diagnosis of Bloodstream Infections.Sensors (Basel, Switzerland) · 2026Review
- Universal, untargeted detection of bacteria in tissues using metabolomics workflows.Nature communications · 2025Article
- Plasma metabolic fingerprints for large-scale screening and personalized risk stratification of metabolic syndrome.Cell reports. Medicine · 2023Article
- Interaction network of extracellular vesicles building universal analysis via eye tears: iNEBULA.Science advances · 2023Article
- Metabolic Molecular Diagnosis of Inflammatory Bowel Disease by Synergistical Promotion of Layered Titania Nanosheets with Graphitized Carbon.Phenomics (Cham, Switzerland) · 2022Article
- Capture and identification of bacteria from fish muscle based on immunomagnetic beads and MALDI-TOF MS.Food chemistry: X · 2022Article
- Proteomics approaches: A review regarding an importance of proteome analyses in understanding the pathogens and diseases.Frontiers in veterinary science · 2022Review
- FcMBL magnetic bead-based MALDI-TOF MS rapidly identifies paediatric blood stream infections from positive blood cultures.PloS one · 2022Article
- Mass spectrometry-based chemical mapping and profiling toward molecular understanding of diseases in precision medicine.Chemical science · 2021Review
- Application of MALDI-TOF MS Profiling Coupled With Functionalized Magnetic Enrichment for Rapid Identification of Pathogens in a Patient With Open Fracture.Frontiers in chemistry · 2021Article
- Ultrafast enzymatic digestion of deoxyribonucleic acid in aqueous microdroplets for sequence discrimination and identification.QRB discovery · 2021Article
- Rapid Computer-Aided Diagnosis of Stroke by Serum Metabolic Fingerprint Based Multi-Modal Recognition.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020Article
- Machine learning of serum metabolic patterns encodes early-stage lung adenocarcinoma.Nature communications · 2020Article
- Article
- Microfluidic-Based Nucleic Acid Amplification Systems in Microbiology.Micromachines · 2019Review
- Adaptable microfluidic system for single-cell pathogen classification and antimicrobial susceptibility testing.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- Identification of pathogenic bacteria in human blood using IgG-modified FeMikrochimica acta · 2018Article
- Magnetic Nanoparticles: From Design and Synthesis to Real World Applications.Nanomaterials (Basel, Switzerland) · 2017Review
- A new microfluidic approach for the one-step capture, amplification and label-free quantification of bacteria from raw samples.Chemical science · 2017Article
Corrections and comments
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bloodstream infections rank among the most serious causes of morbidity and mortality in hospitalized patients, partly due to the long period (up to one week) required for clinical diagnosis. In this work, we have developed a sensitive method to quickly and accurately identify bacteria in human blood samples by combining optimized matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MS) and efficient immunoaffinity enrichment/separation. A library of bacteria reference mass spectra at different cell numbers was firstly built. Due to a reduced sample spot size, the reference spectra could be obtained from as few as 10 to 10
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.