7. MS/Nose Instrumentation as a Rapid QC Analytical Tool

  1. Kevin Goodner2 and
  2. Russell Rouseff3
  1. Ray Marsili

Published Online: 21 JUN 2011

DOI: 10.1002/9781444343137.ch7

Practical Analysis of Flavor and Fragrance Materials

Practical Analysis of Flavor and Fragrance Materials

How to Cite

Marsili, R. (2011) MS/Nose Instrumentation as a Rapid QC Analytical Tool, in Practical Analysis of Flavor and Fragrance Materials (eds K. Goodner and R. Rouseff), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9781444343137.ch7

Editor Information

  1. 2

    Sensus, LLC, Hamilton, USA

  2. 3

    IFAS, Citrus Research and Education Center, University of Florida, USA

Author Information

  1. Marsili Consulting Group, Rockford, USA

Publication History

  1. Published Online: 21 JUN 2011
  2. Published Print: 15 JUL 2011

ISBN Information

Print ISBN: 9781405139168

Online ISBN: 9781444343137



  • MS/nose instrumentation - as a rapid QC analytical tool;
  • mass spectrometer-based instrument - HP 4440A in 1998, Hewlett Packard Co.;
  • GC/MS system, as MS e-nose - ChemSensor and Pirouette multivariate analysis software;
  • ChemSensor software - in the Agilent ChemStation program;
  • operating principle, differences - data collected, conventional GC/MS and ChemSensor;
  • calibrating instrument with known samples - geographic areas, shelf life age, flavor scores;
  • classification of unknowns, models - multivariate algorithms of k-nearest neighbor (k-NN), or SIMCA;
  • MS sensitivity, and sample amount - headspace vial temperature and scan range;
  • ChemSensor, for conventional GC/MS testing for QC - e-nose type work;
  • classification clusters, of coffee types - Guatemalan, decaffeinated Guatemalan, Sumatran, and decaffeinated Sumatran, using Gerstel ChemSensor


This chapter contains sections titled:

  • Introduction

  • Operating Principle

  • Advantages of MS over Solid State Sensors

  • Using Other Sample Preparation Modes

  • Techniques for Improving Reliability and Long-term Stability

  • Two Instruments in One

  • Application Examples

  • Classification of Coffee Samples by Geographic Origin

  • Classification of Whiskey Samples by Brand

  • Future Directions: Partnering MS/Nose with GC/MS

  • Conclusion

  • References