Analytical Instrument Documents

XtaLAB Synergy-ED allows molecular structure analysis of micro-crystal. This feature is quite effective in the difficult case of crystallization, such as transitional metal complexes. Furthermore, the comprehensive analysis using JEOL mass spectrometer (MS) and nuclear magnetic resonance (NMR) provides detailed information for molecular structure determination.

The use of high-mass-resolution MALDI-TOFMS makes it possible to easily identify polymer series due to differences in the composition of repeating units and end groups, and to calculate the molecular weight distribution of each. Using the KMD method, it became possible to easily visualize polymer series contained in complex high-mass-resolution mass spectra. From NMR, we can expect to obtain detailed structural information (random and block structures) of copolymers that are difficult to analyze by MS.

XtaLAB Synergy-ED allows molecular structural analysis of submicron particles of laboratory chemicals. In addition, the comprehensive analysis by JEOL mass spectrometer (MS) and nuclear magnetic resonance (NMR) spectrometer provides details of chemical structure information for molecular structure determination.

XtaLAB Synergy-ED allows molecular structural analysis of submicron particles of laboratory chemicals, pharmaceutical raw materials and so on. In addition, the comprehensive analysis of the JEOL mass spectrometer (MS) and nuclear magnetic resonance (NMR) spectrometer provides details of the chemical structure information for molecular structure determination.

This report describes the development of a method for identifying whether a peak in a mass spectrum is an analysis target peak or a noise peak using machine learning with supervised data that focuses on peak shape.

XtaLAB Synergy-ED allows molecular structural analysis of micro-crystals. It is quite effective for transition metal complexes in the difficult case of crystallization.

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).

We have used our newly-developed AI model to create a database of predicted EI mass spectra for around 100 million compounds. In this work, we introduce a polymer materials application that uses msFineAnalysis AI for structural analysis.

We have used our newly-developed AI model to create a database of predicted EI mass spectra for around 100 million compounds. In this work, we introduce a polymer materials application that uses msFineAnalysis AI for structural analysis.

We have used our newly-developed AI model to create a database of predicted EI mass spectra for around 100 million compounds. In this work, we introduce a polymer materials application that uses msFineAnalysis AI for structural analysis.