Patent classifications
G01N31/00
Control of N-(phosphonomethyl)iminodiacetic acid conversion manufacture of glyphosate
This invention relates to the preparation of N-(phosphonomethyl)glycine (“glyphosate”) from N-(phosphonomethyl)iminodiacetic acid (“PMIDA”), and more particularly to methods for control of the conversion of PMIDA, for the identification of reaction end points relating to PMIDA conversion and the preparation of glyphosate products having controlled PMIDA content.
METHOD FOR DETERMINING ANTIOXIDANT CAPACITY IN BEVERAGES
The invention provides a method for determining the antioxidant capacity of beverage by titrating a standard oxidant solution using liquid sample of the beverage and monitoring oxidation reduction potential of the solution until a neutral reference value is reached, and using the titration volume to calculate the antioxidant capacity. The invention also provides test apparatus and test kit for performing the method of the invention.
Method of diagnosis
The present invention relates generally to a method of detecting a risk of the progression from a pre-invasive neoplasia of the glandular epithelium. More particularly, the present invention provides a method of detecting a risk of the progression from a pre-invasive breast neoplasia by screening for the level of expression of Stefin A in the myoepithelial cells. The method of the present invention is useful in a range of applications including, but not limited to, assessing a neoplastic condition, monitoring the progression of such a condition, predicting the likelihood of a subject progressing to a more advance disease state or informing decisions in relation to the design of treatment schedules.
Constrained conditionally activated binding proteins
The invention relates to COnditional Bispecific Redirected Activation constructs, or COBRAs, that are administered in an active pro-drug format. Upon exposure to tumor proteases, the constructs are cleaved and activated, such that they can bind both tumor target antigens (TTAs) as well as CD3, thus recruiting T cells expressing CD3 to the tumor, resulting in treatment.
MACHINE-LEARNING-BASED CHEMICAL ANALYSIS
The present disclosure describes techniques for generating a digital twin to represent the chemical properties, elemental properties, elemental components, parametric components, and/or molecular components for a resource. A sample of a resource may be obtained and analyzed to identify one or more molecular descriptors contained in the resource. Further analysis of the one or more molecular descriptors and/or the resource may identify gaps in the data and/or information about the resource. Using machine-learning models and a chemistry knowledgebase, the gaps in the data and/or information about the resource may be filled. Further, the machine-learning models described herein may be used to generate a digital twin of the resource that represents the resource in a digital form such that the resource may be tracked accurately throughout its lifecycle, including how the resource may change due to environmental conditions, storage conditions, and/or custodial changes.
Photolytic converter
The present invention provides a photolytic converter for converting reactant molecules in a fluid sample into product molecules by photolytic dissociation with electromagnetic radiation. The converter has a reaction chamber in communication with one or more electromagnetic radiation sources, an inflow conduit for conveying the fluid sample into the reaction chamber, and an outflow conduit for conveying the fluid sample out of the reaction chamber into a receptacle, wherein at least one of the first and outflow conduits extends into the reaction chamber. The receptacle can comprise detection means for generating a signal indicative of a concentration of product molecules in the processed fluid sample.
Computational systems and methods for improving the accuracy of drug toxicity predictions
In some implementations, the present solution can determine a first structural vector of a first chemical based on a chemical structure of the first chemical. The system can also determine first target vector of the first chemical based on at least one gene target for the first chemical. The system can use the structural vector and the target vector to generate a toxicity predictor score for the first chemical.
PERACETIC ACID FORMULATION CONCENTRATION DETERMINATION METHOD
A method includes: disposing a light-transmissive container containing a target solution in which a reagent is added to a solution of a peracetic acid formulation side by side with a plurality of color samples, wherein the peracetic acid formulation being for food use, and the concentration of the peracetic acid formulation being 50 mg/L to 500 mg/L, and visually identifying transmitted light transmitted through the container and any one of the plurality of color samples so that the concentration of the peracetic acid formulation contained in the target solution is determined, wherein each of the plurality of color samples exhibits a color corresponding to each of a plurality of the target solutions containing solutions of the peracetic acid formulation of mutually different concentrations, and the plurality of target solutions corresponding to the color samples exhibit an absorbance of 1.5 to light in wavelength ranges different from each other.
PERACETIC ACID FORMULATION CONCENTRATION DETERMINATION METHOD
A method includes: disposing a light-transmissive container containing a target solution in which a reagent is added to a solution of a peracetic acid formulation side by side with a plurality of color samples, wherein the peracetic acid formulation being for food use, and the concentration of the peracetic acid formulation being 50 mg/L to 500 mg/L, and visually identifying transmitted light transmitted through the container and any one of the plurality of color samples so that the concentration of the peracetic acid formulation contained in the target solution is determined, wherein each of the plurality of color samples exhibits a color corresponding to each of a plurality of the target solutions containing solutions of the peracetic acid formulation of mutually different concentrations, and the plurality of target solutions corresponding to the color samples exhibit an absorbance of 1.5 to light in wavelength ranges different from each other.
Method of evaluating drug resistance and treatment effect
The present invention provides a method of evaluating drug resistance in hormone therapy including the following steps. Firstly, a primary level of TRBP in a subject is measured, and an effective amount of tamoxifen, an active form of tamoxifen or an analogous of tamoxifen is provided to the subject. Then, a level of TRBP in the subject is measured after providing tamoxifen, the active form of tamoxifen or the analogous of tamoxifen. Finally, a level change of TRBP in the subject is discriminated to determine a tamoxifen resistance.