Metabolic analysis of human biological fluids by 1H NMR spectroscopy

Kolokolova, T. N.; Savel’ev, O. Yu.; Sergeev, N. M.

doi:10.1134/s1061934808020020

Cited by 24 publications

(13 citation statements)

References 41 publications

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“…The increase in resolution and sensitivity of NMR instruments has opened up new opportunities for the use of NMR spectroscopy in the quantitative analysis of the most important biological fluids, including urine, blood plasma, cerebrospinal fluid, saliva, and bile. 125 Kline et al monitored citrate concentrations in human seminal and expressed prostatic fluid from prostatic cancer vs. non-cancer-bearing samples. The mean citrate concentration of the cancer patients proved to be reduced by 2.7-fold.…”

Section: Applications Of Qhnmrmentioning

confidence: 99%

Quantitative ¹H NMR. Development and Potential of an Analytical Method: An Update

et al. 2012

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Covering the literature from mid-2004 until the end of 2011, this review continues a previous literature overview on quantitative 1 H NMR (qHNMR) methodology and its applications in the analysis of natural products. Among the foremost advantages of qHNMR is its accurate function with external calibration, the lack of any requirement for identical reference materials, a high precision and accuracy when properly validated, and an ability to quantitate multiple analytes simultaneously. As a result of the inclusion of over 170 new references, this updated review summarizes a wealth of detailed experiential evidence and newly developed methodology that supports qHNMR as a valuable and unbiased analytical tool for natural product and other areas of research.

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Section: Applications Of Qhnmrmentioning

confidence: 99%

Quantitative ¹H NMR. Development and Potential of an Analytical Method: An Update

et al. 2012

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“…NMR spectroscopy is a powerful tool in drug discovery, especially in fragment-based drug design as an alternative to high-throughput screening [1], and in instrumental diagnostics, one of the most developing areas of current medicine [2]. It is clear that NMR spectroscopy represents a forefront of progress in post-genomic era.…”

Section: Introductionmentioning

confidence: 99%

“…Particularly, 1 H NMR spectroscopy is used for the structure determination of complex molecules and for the quantitative analysis of the most important biological fluids (urine, blood plasma, cerebrospinal fluid, bile, tears, etc.) [2]. The 1 H NMR spectrum of any biological fluid is a superposition of the spectra of great number of compounds.…”

Section: Introductionmentioning

confidence: 99%

Extraction of multiple pure component 1H and 13C NMR spectra from two mixtures: Novel solution obtained by sparse component analysis-based blind decomposition

Kopriva

Jerić

Smrečki

2009

Analytica Chimica Acta

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Sparse Component Analysis (SCA) is demonstrated for blind extraction of three pure component spectra from only two measured mixed spectra in 13 C and 1 H nuclear magnetic resonance (NMR) spectroscopy. This appears to be the first time to report such results and that is the first novelty of the paper. Presented concept is general and directly applicable to experimental scenarios that possibly would require use of more than two mixtures. However, it is important to emphasize that number of required mixtures is always less than number of components present in these mixtures. The second novelty is formulation of blind NMR spectra decomposition exploiting sparseness of the pure components in the wavelet basis defined by either Morlet or Mexican hat wavelet. This enabled accurate estimation of the concentration matrix and number of pure components by means of data clustering algorithm and pure components § Patent pending under the number PCT/HR2008/000037. 2 spectra by means of linear programming with constraints from both 1 H and 13 C NMR experimental data.The third novelty is capability of proposed method to estimate number of pure components in demanding underdetermined blind source separation (uBSS) scenario. This is in contrast to majority of the BSS algorithms that assume this information to be known in advance. Presented results are important for the NMR spectroscopy-associated data analysis in pharmaceutical industry, medicine diagnostics and natural products research.

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“…Quantitative 1 H NMR is an important tool in investigation of metabolic diseases from human blood plasma and serum [51,52]. While experimentally the 1 H NMR analysis of plasma samples is quite straightforward, the interpretation and extraction of quantitative information is difficult due to large distribution of both low and high molecular weight components present in the plasma.…”

Section: Plasma Sample Analysismentioning

confidence: 99%

Quantitative two-dimensional HSQC experiment for high magnetic field NMR spectrometers

Koskela

Heikkilä

Kilpeläinen

et al. 2010

Journal of Magnetic Resonance

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Metabolic analysis of human biological fluids by 1H NMR spectroscopy

Cited by 24 publications

References 41 publications

Quantitative ¹H NMR. Development and Potential of an Analytical Method: An Update

Quantitative ¹H NMR. Development and Potential of an Analytical Method: An Update

Extraction of multiple pure component 1H and 13C NMR spectra from two mixtures: Novel solution obtained by sparse component analysis-based blind decomposition

Quantitative two-dimensional HSQC experiment for high magnetic field NMR spectrometers

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Metabolic analysis of human biological fluids by 1H NMR spectroscopy

Cited by 24 publications

References 41 publications

Quantitative 1H NMR. Development and Potential of an Analytical Method: An Update

Quantitative 1H NMR. Development and Potential of an Analytical Method: An Update

Extraction of multiple pure component 1H and 13C NMR spectra from two mixtures: Novel solution obtained by sparse component analysis-based blind decomposition

Quantitative two-dimensional HSQC experiment for high magnetic field NMR spectrometers

Contact Info

Product

Resources

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Quantitative ¹H NMR. Development and Potential of an Analytical Method: An Update

Quantitative ¹H NMR. Development and Potential of an Analytical Method: An Update