Abstract: Disclosed is a method for classifying monitoring results from an analytical sensor system (20), by allowing (100) a first set of analyte sample solutions to interact with a ligand (3) and acquiring (101) a set of response data, extracting (102) at least one interaction parameter from the response data, and for each analyte sample solution providing (103) a trained machine learning algorithm with the interaction parameter(s). The trained machine learning algorithm classifies (104) each analyte sample solution based on the interaction parameter(s) into at least one quality classification group indicative of the interaction of the analyte sample solution with the ligand (3).

Abstract: Disclosed is a method for classifying monitoring results from an analytical sensor system (20) arranged to monitor molecular interactions at a sensing surface, wherein detection curves representing progress of the molecular interactions with time are produced. The method comprises steps of: acquiring (100) a set of detection curves, fitting (101) a first mathemati- cal model to the set of detection curves; calculating (102) a set of features from the set of detection curves and fitted mathematical model; based on the calculated set of features, classifying (103) each detection curve into qual- ity classification group; and based on the classification determining which detection curves to use in kinetic analysis of the monitored molecular inter- actions.

Abstract: The present invention relates to a computer implemented method performed by a controller (C) configured to control a bioprocess comprised in a bioreactor (BR), the method comprising obtaining (410) measurement results by performing spectroscopy of a bioprocessing fluid (FL) comprised in the bioreactor (BR), generating bioprocessing parameters using the measurement results, one or more bioprocessing target parameters and one or more trained models, and, controlling the bioprocess using the generated bioprocessing parameters. The method wherein the one or more trained models are neural networks, wherein the measurement results comprise a spectrum, wherein the spectrum is split to a number N parts used to calculate N average values, wherein the N average values and the corresponding values of bioprocessing parameters are used § as features in the neural network.

Abstract: Methods and biosensor systems for improved evaluation of an interaction between an analyte in a fluid sample and a ligand immobilized on a sensor surface of a biosensor are provided. In one example, a method is provided which includes allowing a plurality of fluid samples to flow across a first sensor surface and a second sensor surface having a ligand immobilized thereon, where the fluid samples include a solvent (for example, an organic solvent with bulk effects such as DMSO) at known concentrations. The method further includes creating a data set for each fluid sample and forming a clean data set with outliers removed. Software for performing steps of methods disclosed and a computer readable medium for storing the software are also provided.

Abstract: The invention discloses a separation matrix for purification of biomacromolecules, comprising a plurality of particles (1) having a core region (2) and a shell region (3), wherein: a) said shell region is accessible to a target biomacromolecule; b) said core region is less accessible to the target biomacromolecule than the shell region; and c) the core region comprises a grafted polymer comprising residues of at least one polymerizable monomer.

Abstract: The invention discloses a separation matrix with a porous solid support and a plurality of polyvinylpyrrolidone (PVP) polymer chains covalently attached to the solid support. The polyvinylpyrrolidone polymer chains are either vinylpyrrolidone homopolymer chains or copolymer chains which comprise at least 70 mol % vinylpyrrolidone monomer residues and less than 2 mol % negatively charged monomer residues.

Abstract: The invention discloses a separation matrix for purification of biomacromolecules, comprising a plurality of particles (1) having a core region (2) and a shell region (3), wherein: a) said shell region is accessible to a target biomacromolecule; b) said core region is less accessible to the target biomacromolecule than the shell region; and c) the core region comprises a grafted polymer comprising residues of at least one polymerizable monomer.

Abstract: Methods and biosensor systems for improved evaluation of an interaction between an analyte in a fluid sample and a ligand immobilized on a sensor surface of a biosensor are provided. In one example, a method is provided which includes allowing a plurality of fluid samples to flow across a first sensor surface and a second sensor surface having a ligand immobilized thereon, where the fluid samples include a solvent (for example, an organic solvent with bulk effects such as DMSO) at known concentrations. The method further includes creating a data set for each fluid sample and forming a clean data set with outliers removed. Software for performing steps of methods disclosed and a computer readable medium for storing the software are also provided.

Abstract: The invention discloses a separation matrix with a porous solid support and a plurality of polyvinylpyrrolidone (PVP) polymer chains covalently attached to the solid support. The polyvinylpyrrolidone polymer chains are either vinylpyrrolidone homopolymer chains or copolymer chains which comprise at least 70 mol % vinylpyrrolidone monomer residues and less than 2 mol % negatively charged monomer residues.

Abstract: A method for linear filtering of noise in a sensorgram generated from a surface plasmon resonance apparatus, the method comprising: providing a linear filter of variable length to filter an output signal in the sensorgram; and determining an optimal length of the linear filter based on a slope of the signal in the sensorgram and a locked interception linear error, LILE, detector.

Abstract: The present invention relates to a method for determining the identity of a microfluidic device and a home position by means of a set of home position marks on the microfluidic device, which is of the type used in a microfluidic system. Said method comprises following phases: a microfluidic device scanning phase, wherein a microfluidic device is scanned for mark identifiers; a microfluidic device identifying phase, wherein at least one a characteristic feature of the set of home marks is/are determined and used for identifying the identity of the microfluidic device; a home position determining phase, wherein the home position is determined by the use of at least a subset of the home position marks identified during said previous phases. The present invention relates to a set of home marks, a microfluidic device carrying such a set of home marks, a microfluidic system, a computer program product and a computer program on a computer usable medium.

Abstract: A method for linear filtering of noise in a sensorgram generated from a surface plasmon resonance apparatus, the method comprising: providing a linear filter of variable length to filter an output signal in the sensorgram; and determining an optimal length of the linear filter based on a slope of the signal in the sensorgram and a locked interception linear error, LILE, detector.

Abstract: The present invention relates to liquid clarification. More closely, the invention relates to beverage clarification, such as reduction of colloidal (not microbial) haze-causing substances in beer or related beverages such as wine, juices, flavorings etc. The method of the invention uses a hydrophilic surface for adsorption of haze-forming substances by hydrogen bonding interaction properties between the surface and the haze-forming substances.

Abstract: The present invention relates to a separation matrix comprised of a support to the surfaces of which polymer chains have been coupled, wherein each polymer chain presents recurring proton-donating groups and at least the surface of the support is substantially hydrophilic. In the most advantageous embodiment, the support is porous cross-linked agarose, the polymers are poly(acrylic acid) and the proton-donating groups are carboxyl groups. The matrix is useful e.g. to remove PEG from pegylated and/or native compounds in a liquid. Accordingly, the invention also encompasses a method, such as a chromatographic method, wherein the separation matrix according to the invention is used, for example as a pre-treatment of a reaction mixture that comprises unreacted PEG, pegylated proteins and native proteins.

Abstract: The present invention relates to magnetic beads suitable for, for example, isolation of proteins, cells, and viruses and also for diagnostic applications and cell cultivation. The magnetic beads are composite beads with an inner core of metal particles, which are coated with an inert synthetic polymer and these are then enclosed in a hydrophilic porous polymer, preferably agarose. This provides porous biocompatible beads without metal leakage. The beads may be used for cell cultivation or for chromatography. When the beads are used for chromatography the agarose layer is preferably provided with ligands having affinity for selected biomolecules.

Abstract: A method is provided for comparing multiple samples of cell extract containing a plurality of components. The method comprises the steps of preparing at least two samples of cell extract from at least two groups of cells and of exposing each of said sample of said cell extract to a different one of a set of matched markers, e.g. luminescent markers, to bind the marker to the cell extract to label the cell extract, each marker within said set of markers being capable of binding to the cell extract and can be individually detected from all other markers within said set. The samples are then mixed to form a mixture and said mixture is electrophoresed to separate the components within the cell extract. At least two electronic images of the electrophoresed mixture are obtained (I) by detection of the individual markers, each image being represented by detection of a marker different from the others.

Abstract: The present invention relates to liquid clarification. More closely, the invention relates to beverage clarification, such as reduction of colloidal (not microbial) haze-causing substances in beer or related beverages such as wine, juices, flavorings etc. The method of the invention uses a hydrophilic surface for adsorption of haze-forming substances by hydrogen bonding interaction properties between the surface and the haze-forming substances.

Abstract: The present invention relates to a method for determining the identity of a microfluidic device and a home position by means of a set of home position marks on the microfluidic device, which is of the type used in a microfluidic system. Said method comprises following phases: a microfluidic device scanning phase, wherein a microfluidic device is scanned for mark identifiers; a microfluidic device identifying phase, wherein at least one a characteristic feature of the set of home marks is/are determined and used for identifying the identity of the microfluidic device; a home position determining phase, wherein the home position is determined by the use of at least a subset of the home position marks identified during said previous phases. The present invention relates to a set of home marks, a microfluidic device carrying such a set of home marks, a microfluidic system, a computer program product and a computer program on a computer usable medium.

Abstract: The present invention relates to a separation matrix comprised of a support to the surfaces of which polymer chains have been coupled, wherein each polymer chain presents recurring proton-donating groups and at least the surface of the support is substantially hydrophilic. In the most advantageous embodiment, the support is porous cross-linked agarose, the polymers are poly(acrylic acid) and the proton-donating groups are carboxyl groups. The matrix is useful e.g. to remove PEG from pegylated and/or native compounds in a liquid. Accordingly, the invention also encompasses a method, such as a chromatographic method, wherein the separation matrix according to the invention is used, for example as a pre-treatment of a reaction mixture that comprises unreacted PEG, pegylated proteins and native proteins.

Abstract: The present invention relates to a method, a system, a neural network and a computer program product for determining the quality of an analytical process, preferably the confidence value. The analytical process is performed in a microchannel structure of a microfluidic device, from which data information of the analytic process is acquired by scanning at least one search area of the microchannel structure for signal data. The search area comprises the result of the analytical process and the acquired data information is stored as an image, one image for each scanned search area.