LCMS-IT-TOF

Tuotenumero:
MS-IT-TOF
Shimadzu's LCMS-IT-TOF is a novel hybrid mass spectrometer
Valmistaja: Shimadzu

Featuring MSn Capability

Shimadzu's new LCMS-IT-TOF is a novel hybrid mass spectrometer for biomarker discovery, metabolite identification and human health research, and ideal for applications in forensics, drug development, and proteomics. Coupling atmospheric pressure ionization with Ion-Trap (IT) and Time-of-Flight (TOF) technologies, the LCMS-IT-TOF delivers high mass accuracy and high mass resolution (10,000 at 1000 m/z) independent of MS mode.

Key benefits and features

The LCMS-IT-TOF allows more qualitative information about a sample to be collected in a single run.

This enables researchers and scientists to:

  • Elucidate structures of new molecules
  • Identify impurities and contaminants
  • Analyze metabolites and biomarkers to evaluate biological pathways

The LCMS-IT-TOF has been designed to maximize sensitivity and selectivity by optimizing the ion transport to the TOF analyzer and redefining the capability of the quadrupole ion trap. The ion trap is used to focus ions before ejection into the TOF as well as supporting MSn analysis with effective precursor ion selection capabilities (resolution > 1,000 at 1,000 m/z).

The new instrument incorporates a host of new technologies and enhancements, including:

  • Compressed Ion Injection (patented)
  • Ballistic Ion Extraction (patented)
  • Dual-Stage Reflectron (patented)
  • New ion optics (patented)
  • Temperature control of the flight tube (patent pending)

The source design, desolvation capillary and reduced collision ion focusing Q-Array were adapted from Shimadzu's successful single-quad HPLC mass spectrometer.

Combining new, innovative technologies with one of the fastest polarity switching speeds available, the LCMS-IT-TOF expands the power of mass spectrometry scanning to deliver unparalleled performance for the most demanding analytical needs.

High mass accuracy and mass resolution are powerful tools in determining empirical formulae. However, to help increase the probability of identifying the correct formulae, we have developed a new prediction software tool that not only uses mass accuracy and isotope fitting routines for MS it also uses the MSn information as well checking for fragment masses.

This approach helps to increase the likelihood of identifying the correct elemental composition and reduces the number of possible candidates.
 

Metabolite Profiling software

Integrates chromatography and mass spectrometry data sets together with statistical methods to help find components of biologically significance.

Key features

  • Data conversion
    Nominal and accurate mass conversion for Shimadzu instruments (also supports ABI file formats).
  • Project management
    A powerful tool used to describe the samples and assign biological and analytical variables (including the status of the disease, treatment, condition and so on). This helps use the integrated database to search for new biomarkers or confirm existing markers for different disease states.
  • Peak Alignment
    Select marker masses in different samples at different retention times. Choose up to 10 different m/z values at 10 different retention times. Fit the data using various fitting routines including:
  • Linear
  • Quadratic
  • Cubic
  • Quartic
 
  • Point to point (with or without extrapolation)
 
  • Peak peaking
    For each data file, the extracted mass chromatogram is generated for each m/z value throughout the scan range. Peak picking is refined by using relative peak threshold and smoothing options to help find all related peaks.

 

  • Finding the differences | building arrays
  • Once the chromatograms are aligned and the peaks have been selected the next step is to identify the differences between the data sets using statistical tools such as PCA-DA. By building data arrays which associate biological variables (such as disease state or treatment variable) with mass spectrometry data, specific components of a complex sample can be used to identify specific disease biomarkers. Biomarkers can be metabolites, peptides and/or gene transcripts.

Protein identification software

The LCMS-IT-TOF is a powerful tool in protein research generating information rich MS/MS spectra to help identify proteins.

Bringing together intelligent scanning tools for MS/MS analysis it is possible to identify low abundant proteins in complex mixtures and quickly link the data to a Mascot™ data base search (Matrix Science).

 

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