Molecular Entity Identification TRIZ Cases
- Adulterant Detection via Spectral Residue Analysis
Least squares fitting compares sample and reference spectral residues to detect adulterants without time-consuming wet chemical tests.
- Chemical Compound Retrieval via Substructure Vector Analysis
A retrieval device generates substructure vectors from chemical compound names to identify similar documents based on molecular fragment counts.
- Spectral Library Partitioning for Rapid Compound Identification
A spectral library search method partitions an n-dimensional vector space to map target spectra against known material vectors.
- Transformer Neural Networks for Molecular Binding Affinity Prediction
Transformer neural networks predict molecular binding affinity using vector representations, overcoming accuracy limits in rapid drug candidate screening.
- HPLC Fingerprint Spectrum Analysis for Grape Seed Extract Adulteration
HPLC fingerprint spectrum analysis identifies characteristic peaks in grape seed extract samples to determine authenticity and detect adulterants.
- Vapor Phase Carbonyl Band Analysis for Synthetic Cannabinoid Classification
Mid-infrared spectroscopy detects unique carbonyl bands in vapor phase to identify synthetic cannabinoid sub-categories.
- Reinforcement Learning for DIA Spectral Library Expansion
A reinforcement learning algorithm iteratively expands spectral libraries by predicting product ion spectra for related compounds.
- Data Processing Apparatus for Feature Summarization
A data processing apparatus collects analysis files from multiple analyzers and extracts features for statistical summarization.
- SWATH Mass Spectrometry Retention Time Ambiguity
Sequential windowed acquisition scans entire mass ranges to resolve retention time ambiguity in complex mixtures.
- Learning Model for Overlapping Spectral Peak Separation
A learning model estimates test substance amounts by selecting spectral information from multiple wavelengths.
- Octahedral Gold-Silver Hollow Cage SERS Sensor for Tea Pesticide Detection
Octahedral gold-silver hollow cage sensors replace complex chromatography systems to detect thiram and pymetrozine in tea with high sensitivity.
- Spectral Transformation for Concentration Prediction Accuracy
Transforming optical spectra via optimal conditions suppresses interference from non-analyte compounds, improving prediction accuracy.
- Magnetic Resonance Food Quality Control
A magnetic resonance method obtains signal strength curves from packaged food samples to determine ingredient contents without opening containers.
- Cloud Platform for Automated Scientific Method Recommendation
A cloud platform uses machine learning to recommend scientific methods, reducing configuration time by automating instrument setup.
- Spectrometer-Based Nutrient Detection for Crop Management
A spectrometer acquires spectral data from agricultural samples to determine nutrient levels using computational models.
- Spectral Data Classification Using Odds Ratios
A spectral data classification method calculates peak occurrence probabilities and odds ratios to assign samples to clusters.
- Register-Based Carbon Sequestration Estimation Using LiDAR and ML
A register-based carbon sequestration estimation system uses machine learning to classify forest types from aerial imagery.
- Multiphase Fluid Composition Measurement Using Multi-Energy Photon Beam
Multi-energy photon beam radiation calculates phase fractions by accounting for salinity variations in linear absorption coefficients.
- Deuterium Substitution Rate Analysis via 1H-NMR Integration
A method calculates average deuterium substitution rates using 1H-NMR integration values of substituted and standard samples.