1 H NMR spectral identification of medication in cerebrospinal fluid of pediatric meningitis

Mason, Shayne; Solomons, Regan; Wevers, Ron A.; Engelke, Udo F. H.

doi:10.1016/j.jpba.2017.04.054

Cited by 6 publications

(4 citation statements)

References 29 publications

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“…Nuclear magnetic resonance (NMR) spectroscopy is an essential analytical tool used to unambiguously identify known and novel compounds. It has an inherent advantage that the intensity of resonance signal is directly proportional to the number of nuclei [ 11 ], which provides a possibility to simultaneously qualify and quantify several molecules in natural samples [ 12 ] such as foods [ 13 ], plants or herbal remedies [ 14 ], and biofluids [ 15 ]. Additionally, NMR technique is non-destructive and does not require any complex sample pretreatment.…”

Section: Introductionmentioning

confidence: 99%

Validated 1H and 13C Nuclear Magnetic Resonance Methods for the Quantitative Determination of Glycerol in Drug Injections

Jiang

Wang

et al. 2018

Molecules

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In the current study, we employed high-resolution proton and carbon nuclear magnetic resonance spectroscopy (1H and 13C NMR) for quantitative analysis of glycerol in drug injections without any complex pre-treatment or derivatization on samples. The established methods were validated with good specificity, linearity, accuracy, precision, stability, and repeatability. Our results revealed that the contents of glycerol were convenient to calculate directly via the integration ratios of peak areas with an internal standard in 1H NMR spectra, while the integration of peak heights were proper for 13C NMR in combination with an external calibration of glycerol. The developed methods were both successfully applied in drug injections. Quantitative NMR methods showed an extensive prospect for glycerol determination in various liquid samples.

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Section: Introductionmentioning

confidence: 99%

Validated 1H and 13C Nuclear Magnetic Resonance Methods for the Quantitative Determination of Glycerol in Drug Injections

Jiang

Wang

et al. 2018

Molecules

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“…In the reviewed literature, we did not find general agreement about protocol (experimental conditions), or optimal pH values for NMR-based metabolomics studies of CSF. Some studies did not report or adjust sample pH [8,23,24,26,32,35], while others manually adjusted it by adding acid/base [4,7,19,28,29,35,37] or employed a phosphate buffer with varying buffer capacity [5,6,13,18,20,21,25,27,31,33,34,38,39]. Table 1.…”

Section: Resultsmentioning

confidence: 99%

“…Either adjusted with buffer solution [5,6,13,18,20,21,25,27,31,33,34,38,39], by adding HCl/NaOH solution [4,7,19,28,29,35,37], or ignored [8,23,24,26,32,36].…”

Section: Sample Phmentioning

confidence: 99%

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Pursuing Experimental Reproducibility: An Efficient Protocol for the Preparation of Cerebrospinal Fluid Samples for NMR-Based Metabolomics and Analysis of Sample Degradation

et al. 2020

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NMR-based metabolomics investigations of human biofluids offer great potential to uncover new biomarkers. In contrast to protocols for sample collection and biobanking, procedures for sample preparation prior to NMR measurements are still heterogeneous, thus compromising the comparability of the resulting data. Herein, we present results of an investigation of the handling of cerebrospinal fluid (CSF) samples for NMR metabolomics research. Origins of commonly observed problems when conducting NMR experiments on this type of sample are addressed, and suitable experimental conditions in terms of sample preparation and pH control are discussed. Sample stability was assessed by monitoring the degradation of CSF samples by NMR, hereby identifying metabolite candidates, which are potentially affected by sample storage. A protocol was devised yielding consistent spectroscopic data as well as achieving overall sample stability for robust analysis. We present easy to adopt standard operating procedures with the aim to establish a shared sample handling strategy that facilitates and promotes inter-laboratory comparison, and the analysis of sample degradation provides new insights into sample stability.

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NMR based CSF metabolomics in tuberculous meningitis: correlation with clinical and MRI findings

et al. 2022

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1 H NMR spectral identification of medication in cerebrospinal fluid of pediatric meningitis

Cited by 6 publications

References 29 publications

Validated 1H and 13C Nuclear Magnetic Resonance Methods for the Quantitative Determination of Glycerol in Drug Injections

Validated 1H and 13C Nuclear Magnetic Resonance Methods for the Quantitative Determination of Glycerol in Drug Injections

Pursuing Experimental Reproducibility: An Efficient Protocol for the Preparation of Cerebrospinal Fluid Samples for NMR-Based Metabolomics and Analysis of Sample Degradation

NMR based CSF metabolomics in tuberculous meningitis: correlation with clinical and MRI findings

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