Analytical Instrument Documents

This Polymer note introduces a broad range of instruments used for polymer analysis and their applications.

Contamination and Off-Flavor; Evaluation and Analysis

Thermal desorption (TD) and pyrolysis gas chromatography-mass spectrometry (py-GC-MS) identified the source of an unexpected contaminant introduced during sample preparation.

Quick and accurate quantitative analysis is possible without using a reference material that is the same as the target analyte.

This Solid-state battery Note has been created to provide solutions and reference information for research and development of solid-state batteries evolving from the lithium ion batteries (LIBs).

Field Desorption (FD) is demonstrated as a useful way to obtain mass spectra for many organometallic complexes.

JEOL developed msFineAnalysis as qualitative analysis software for our gas chromatograph time of flight mass spectrometer (GC-TOFMS). We implemented deconvolution detection, variance component analysis, and other features in the software through updates. We have recently developed a new version of the series called msFineAnalysis AI. msFineAnalysis AI is equipped with a structural analysis method using artificial intelligence (AI), called "AI structural analysis." AI structural analysis enables the identification of molecular formulas as well as structural formulas of compounds that are not registered in the NIST 20 library (unknown compounds).

JMS-S3000 SpiralTOF™-plus 2.0 MALDI-TOFMS as a Shared Instrument

Dedicated SIM/SRM data quantitative analysis software for Dioxins.

Chenometrics is a discipline that utilizes data mining techniques, including dimensionality reduction, discrimination, visualization, and regression, to extract information from extensive sets of experimental analytical data. NMR spectroscopy, a highly quantitative and reproducible technique, allows for non-invasive analysis of chemical species with minimal sample preparation. This is particularly advantageous for data mining, as NMR spectra, including series of 1H NMR spectra of biological samples, are commonly employed as input for multivariate analysis by converting series of 1D NMR spectra into a matrix. The 'Chemospec' package in the R language for statistical computing serves as the engine for multivariate analysis. When the 'Chempspec' package is installed, the Delta software offers a seamless user interface for exploratory multivariate analysis.