The present disclosure relates to methods of identifying and detecting metabolites in joint fluid to treat and/or prevent a joint infection. The present disclosure also relates to method of preventing a bacterial biofilm accumulation and treating a joint infection using NMR-based metabolomics.

A method for determining the solids content, fines content and/or particle size distribution of the solids in an oil sands process stream test sample comprising bitumen, solids and water using low-field time-domain NMR is provided which involves building a non-solids partial least squares calibration model using oil sands process streams calibration samples having a known bitumen content, solids content, water content, fines content and/or particle size distribution by subjecting the calibration samples to a first T.sub.1-weighted T.sub.2 measurement NMR pulse sequence that maximizes very fast relaxing signals and a second T1-weighted T2 measurement NMR pulse sequence that maximizes slow relaxing signals. The measurement of other sample properties strongly correlated with surface area, such as methylene blue index, can also be measured using a partial least squares calibration model.

A method of predicting the responsiveness of a patient to a pharmaceutical drug by measuring metabolites in a biological sample from the patient is disclosed. Specific drug metabolites in blood from breast cancer patients are analyzed using NMR spectroscopy whereby responsiveness of the human cancer patients before, during and after treatment with a cancer drug is assessed by measuring the change in clinical outcomes. Data obtained is used to identify particular NMR resonances that are strongly correlated with whether the patient is responsive or resistant to each drug. As such, models for predicting the responsiveness of a patient to each drug based on metabolites from the patient are provided.

A method of using the transverse relaxation rate (R.sub.2) of solvent NMR signal to noninvasively assess alum-containing products such as vaccines. This technique can be used for quality control in vaccine manufacturing (e.g., fill-finish step) to determine the evenness of alum filling level as well as extent of alum particle sedimentation in filled and sealed products.

Provided are methods of using non-invasive assays to determine deuterium levels in a subject to effect health, disease, and athletic performance.

The present disclosure discloses a concentration and temperature measurement method for the magnetic nanoparticles based on paramagnetic shift, which measures magnetic nanoparticle concentration and temperature by utilizing a nuclear magnetic resonance device to measure chemical shifts of a liquid sample containing the paramagnetic particles, thereby efficiently achieving high-accuracy concentration and temperature measurement. Paramagnetic magnetic nanoparticles are added to the nuclear paramagnetic resonance sample reagent, and paramagnetic shifts of the sample are obtained by nuclear magnetic resonance. Resonance frequencies are obtained by the paramagnetic shifts, magnetic susceptibilities are obtained according to the relationship between the resonance frequencies and the magnetic susceptibilities of the magnetic nanoparticles, and then the concentration information and temperature information of the sample are obtained by inverse solution according to the relationship between the magnetic susceptibility and the concentration and temperature of the magnetic nanoparticles. From the simulation data, concentration measurement and high-precision temperature measurement of the magnetic nanoparticle samples can be effectively realized by the paramagnetic displacement information.

Methods for non-invasively identifying substandard or counterfeit products, e.g., vaccines, using nuclear magnetic resonance. The methods provide manufacturers with new approaches to identify parameters to assist users with the identification of substandard or counterfeit products.

Nuclear magnetic resonance (NMR) gas isotherm techniques to evaluate wettability of porous media, such as hydrocarbon reservoir rock, can include constructing a NMR gas isotherm curve for a porous media sample gas adsorption under various pressures. A hydrophobic or hydrophilic nature of the porous media sample can be determined using the NMR gas isotherm curves. A wettability of the porous media sample can be determined based on the NMR gas isotherm curve. The wettability can be determined for porous media samples with different pore sizes. In the case of reservoir rock samples, the determined wettability can be used, among other things, to model the hydrocarbon reservoir that includes such rock samples, to simulate fluid flow through such reservoirs, or to model enhanced hydrocarbon recovery from such reservoirs.

Nuclear magnetic resonance (NMR) gas isotherm techniques to evaluate wettability of porous media, such as hydrocarbon reservoir rock, can include constructing a NMR gas isotherm curve for a porous media sample gas adsorption under various pressures. A hydrophobic or hydrophilic nature of the porous media sample can be determined using the NMR gas isotherm curves. A wettability of the porous media sample can be determined based on the NMR gas isotherm curve. The wettability can be determined for porous media samples with different pore sizes. In the case of reservoir rock samples, the determined wettability can be used, among other things, to model the hydrocarbon reservoir that includes such rock samples, to simulate fluid flow through such reservoirs, or to model enhanced hydrocarbon recovery from such reservoirs.

Downhole fluid volumes of a geological formation may be estimated using nuclear magnetic resonance (NMR) measurements, even in organic shale reservoirs. Multi-dimensional NMR measurements, such as two-dimensional NMR measurements and/or, in some cases, one or more well-logging measurements relating to total organic carbon may be used to estimate downhole fluid volumes of hydrocarbons such as bitumen, light hydrocarbon, kerogen, and/or water. Having identified the fluid volumes in this manner or any other suitable manner from the NMR measurements, a reservoir producibility index (RPI) may be generated. The downhole fluid volumes and/or the RPI may be output on a well log to enable an operator to make operational and strategic decisions for well production.