A magnetic resonance device for monitoring growth of tissue in one or more bioreactors. The device can include a first magnet and a second magnet that can form a uniform magnetic field of desired strength around at least one sample of effluent from at least one bioreactor. At the command of a controller, an RF signal can illuminate the at least one magnetized sample, and sensors can detect at least one echo signal from the at least one magnetized sample. The controller can characterize the at least one sample based on the at least one echo signal. A resonator can shape the at least one echo signal.

The present invention provides a method for determining a sodium lauryl sulfate having a desired quality as a pharmaceutical raw material for a formulation by detecting a slight difference in quality of sodium lauryl sulfate to be used as a pharmaceutical raw material for a formulation.

The present invention relates to a method for sorting a raw material for a formulation which can provide a pharmaceutical formulation excellent in stability by pretreating the material for a formulation under a predetermined accelerated condition and detecting an impurity. According to the method of the present invention, it is possible to determine the quality of sodium lauryl sulfate of a pharmaceutical raw material for a formulation having no effect on the quality of a pharmaceutical formulation containing alectinib or a salt thereof. A pharmaceutical composition produced by using a pharmaceutical raw material for a formulation (SLS) and sorted out by the method of the present invention can provide a high-quality pharmaceutical formulation having excellent stability.

A process for converting a first hydrocarbon feed stream to one or more liquid transportation fuels in a petroleum refinery where the feed stream is analyzed by at least one analytical method to produce data that is transformed to wavelet coefficients data. A pattern recognition algorithm is trained to recognize subtle features in the wavelet coefficients data that are associated with an attribute of the feed stream. The trained pattern recognition algorithm then rapidly classifies potential hydrocarbon feed streams as a member of either a first group or a second group where the second group comprises hydrocarbon feed streams where the attribute or chemical characteristic at or above a predetermined threshold value. This classification allows rapid decisions to be made regarding utilization of the feedstock in the refinery that may include altering at least one variable in the operation of the refinery.

A gas oil separation plant (GOSP) and method for receiving crude oil from a wellhead and removing gas, water, and salt from the crude oil, and discharging export crude oil. The GOSP includes online analyzer instruments for performing online analysis of salt concentration in multiple streams in the GOSP. Based in part on the online analysis, the salt content in the export crude oil may be determined and the flowrate for wash water supplied to the desalter vessel may be specified.

There are provided systems, methods, and processor-readable media for optimizing the end to end operation of a hydrocarbon processing system using NMR spectroscopy data. The hydrocarbon processing system is configured to process hydrocarbon feedstock material, via a configuration defined by a set of configuration parameters, such that one or more final products are produced. A yield prediction model is used to process NMR data obtained from an NMR scan of the feedstock material to generate yield prediction data. The yield prediction data includes predictions of product yields of various intermediate products and/or final products. An optimization module is used to process the yield prediction data predicted by the trained yield prediction model such that optimized configuration parameter data is obtained. The optimized configuration parameter data is effective for establishing an optimized configuration for operating the hydrocarbon processing system that optimizes or improves an objective metric.

A method of using the transverse relaxation time (T.sub.2) of solvent NMR signal to detect filling errors of an alum-containing product in real-time and in-line during manufacturing, for example during a fill-finish unit operation. This method can be used for quality control in vaccine manufacturing to ensure the delivery of the correct concentration of alum-containing product to the product container such as a vial or pre-filled syringe.

Disclosed herein are methods of preparing a composition comprising crystalline biomolecules, for example, crystalline antibodies. In exemplary embodiments, the method comprises forming a fluidized bed of crystalline biomolecules using, for example, a counter-flow centrifuge to exchange buffer and/or to concentrate the crystalline biomolecules in a solution. Also provided are methods of detecting crystalline biomolecules and/or amorphous biomolecules in a sample.

System and method for analyzing changes in a fluid flowing through a conduit, including defining at least one coordinate within said conduit, said conduit having a first plurality of slices, receiving at least one known value for at least one property of the fluid, measuring said fluid using magnetic resonance, determining at least one image from the measured fluid, the at least one image having a second plurality of slices for said at least one coordinate, determining a second set of values for said at least one property of said fluid, comparing the first set of values and second set of values for said at least one property to determine a difference value, checking deviation of the determined difference from a predetermined value for said fluid, and issuing an alert if the deviation is not substantially zero.

A method for establishing a posteriori a match between a piece of wood and a log from which the piece of wood has been obtained, comprising the following operating steps of performing a tomographic scan of the wooden log, of calculating or selecting a log cutting pattern, of defining, starting with the tomographic information available, one or more virtual individualising characteristics which are linked to the distribution and/or size of physical characteristics of the log inside and/or on the surface of the self-same virtual piece of wood, of saving them in a database, together with information about the identity of the log, of dividing the log into real pieces of wood according to the cutting pattern, of acquiring real information about the distribution and/or size of physical characteristics of the log inside and/or on the surface of a real piece of wood and of defining corresponding real individualising characteristics to be compared with virtual individualising characteristics saved and of identifying an origin of the real piece of wood based on the information about the identity of the log which is saved together with the virtual individualising characteristics which match the real individualising characteristics.

Disclosed are methods of characterizing kerogen and its hydrocarbon generation potential using NMR as the primary analytical tool, and using such data to derive the kinetics of hydrocarbon generation and alteration, thus predicting the hydrocarbon potential of source rock in geological setting, which can then be used in petroleum exploration and production.