ArticleMetabolites2020
Optimisation of Urine Sample Preparation for Headspace-Solid Phase Microextraction Gas Chromatography-Mass Spectrometry: Altering Sample pH, Sulphuric Acid Concentration and Phase Ratio.
Article in Metabolites, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 29 citations in OpenAlex.
- Lactobacilli Isolated from the Caecum of Healthy Broilers with Antimicrobial Activity are Probiotic Candidates for Controlling Salmonella.Probiotics and antimicrobial proteins · 2026Article
- Headspace SPME GC-MS Analysis of Urinary Volatile Organic Compounds (VOCs) for Classification Under Sample-Limited Conditions.Metabolites · 2026Article
- Analysis of the Urine Volatilome of COVID-19 Patients and the Possible Metabolic Alterations Produced by the Disease.Metabolites · 2024Article
- Untargeted Urinary Volatilomics Reveals Hexadecanal as a Potential Biomarker for Preeclampsia.International journal of molecular sciences · 2024Article
- Article
- Analysis of urinary volatile organic compounds for prostate cancer diagnosis: A systematic review.BJUI compass · 2024Review
- Headspace Solid-Phase Micro-Extraction Method Optimization and Evaluation for the Volatile Compound Extraction of Bronchoalveolar Lung Lavage Fluid Samples.Separations · 2024Article
- In-depth urinary and exosome proteome profiling analysis identifies novel biomarkers for diabetic kidney disease.Science China. Life sciences · 2023Article
- Differences in the Volatilomic Urinary Biosignature of Prostate Cancer Patients as a Feasibility Study for the Detection of Potential Biomarkers.Current oncology (Toronto, Ont.) · 2023Article
- A Complete Pipeline for Untargeted Urinary Volatolomic Profiling with Sorptive Extraction and Dual Polar and Nonpolar Column Methodologies Coupled with Gas Chromatography Time-of-Flight Mass Spectrometry.Analytical chemistry · 2023Article
- GC-MS Techniques Investigating Potential Biomarkers of Dying in the Last Weeks with Lung Cancer.International journal of molecular sciences · 2023Article
- The untargeted urine volatilome for biomedical applications: methodology and volatilome database.Biological procedures online · 2022Review
- Volatilomics as an Emerging Strategy to Determine Potential Biomarkers of Female Infertility: A Pilot Study.Biomedicines · 2022Article
- Mapping of Urinary Volatile Organic Compounds by a Rapid Analytical Method Using Gas Chromatography Coupled to Ion Mobility Spectrometry (GC-IMS).Metabolites · 2022Article
- Volatilomics: An Emerging and Promising Avenue for the Detection of Potential Prostate Cancer Biomarkers.Cancers · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Headspace-solid phase microextraction gas chromatography-mass spectrometry (HS-SPME-GC-MS) can be used to measure volatile organic compounds (VOCs) in human urine. However, there is no widely adopted standardised protocol for the preparation of urine samples for analysis resulting in an inability to compare studies reliably between laboratories. This paper investigated the effect of altering urine sample pH, volume, and vial size for optimising detection of VOCs when using HS-SPME-GC-MS. This is the first, direct comparison of H
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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.