Shimadzu Corporation

Tatsuki Okubo

Yoshiki Tainaka

Tomonori Oshikawa

Kohei Suzuki

Takashi Nishikaze

Yoshihiro Yamada

Naoki Kaneko

Yuko Kobayashi

The present disclosure provides a method for calibrating a difference in signal intensity ratio between machines in mass spectrometry.

Machine difference correction method for mass spectrometry apparatus

In a device () for assisting in analytical operations for correctly arranging samples in a plurality of sample-placement portions and implementing multiple protocols in the correct order, a storage section () holds sample information and analysis parameters for each protocol as well as the order of implementation. A protocol-selection-input receiver () receives an input of the selection of a protocol. A sample-position displayer () displays, on a display unit (), sample information in the selected protocol along with the positions of the sample-placement portions. A protocol-implementation-information collector () collects information concerning the state of implementation of the protocols. A determiner () determines whether a protocol which must be implemented earlier was already implemented, based on the state of implementation and order of implementation of the protocols. A batch-file creator () creates a batch file when it is confirmed that the protocol which must be implemented earlier was already implemented.

Analytical operation assisting device and non-transitory computer readable medium recording analytical operation assisting program

In a mass spectrometer employing laser ionization to ionize a sample, a known sample is irradiated with laser light multiple times, and multiple sets of profile data are acquired each of which is a spectrum showing the relationship between the m/z values and intensities of ions generated from the known sample by one laser irradiation (Step S). Those sets of profile data are sorted into groups so that one or more sets of profile data are included in each group (Step S). For each group, a peak list is created which describes the m/z value and intensity of each peak originating from the known sample based on the one or more sets of profile data included in the group (Step S). A discriminant model for discriminating an unknown sample is created using the peak lists of the plurality of groups and information concerning the kind of the known sample as training data.

Method, system and program for processing mass spectrometry data

Growing community of inventors

Kyoto, Japan

Tatsuki Okubo