Spectroscopy Since 1975
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Articles

William J. Foley

William J. Foley

Evolution, Ecology and Genetics, Research School of Biology, Australian National University, Canberra 0200, Australia

Article  |  Issue 21/5 (2009)
A.N. Davies, H.M. Heise, D.F. Ihrig

A.N. Davies,a H.M. Heiseb and D.F. Ihrigc

aProfessor, SERC, University of Glamorgan, UK, Director, ALIS Ltd, and ALIS GmbH—Analytical Laboratory Informatics Solutions
bISAS—Institute for Analytical Sciences at Dortmund University of Technology, Bunsen-Kirchhoff-Str. 11, D-44139 Dortmund, Germany
cUniversity of Applied Sciences of South-Westphalia, Frauenstuhlweg 31, D-58644 Iserlohn, Germany

Tony Davies Column  |  Issue 21/5 (2009)
Christopher Burgess, John Hammond

Following on from our previous foray into the UV-visible area of the spectrum, in this article we discuss its nearest neighbour in the spectral scale, namely near infrared (NIR) spectrometry. The NIR spectral region lies between 780 nm and 2500 nm (4000 cm–1 to 12,800 cm–1) bridging the more well-known and analytically used regions of the UV-visible (190–780 nm) and the infrared (4000–600 cm–1).

QM Column  |  Issue 21/2 (2009)
Tom Scherzer, Gabriele Mirschel , Katja Heymann

Tom Scherzer, Gabriele Mirschel and Katja Heymann

Leibniz Institute of Surface Modification (IOM), Permoserstr. 15, D-04318 Leipzig, Germany. E-mail: [email protected]

Article  |  Issue 20/6 (2008)
A.M.C. Davies, Tom Fearn

A.M.C. Daviesa and Tom Fearnb

aNorwich Near Infrared Consultancy, 75 Intwood Road, Cringleford, Norwich NR4 6AA, UK. E-mail: [email protected]
bDepartment of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK. E-mail: [email protected]

Tony Davies Column  |  Issue 20/4 (2008)
A.M.C. Davies, Tom Fearn

A.M.C. Davies and Tom Fearn

Norwich Near Infrared Consultancy, 75 Intwood Road, Cringleford, Norwich NR4 6AA, UK. E-mail: [email protected]
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK. E-mail: [email protected]

Tony Davies Column  |  Issue 20/2 (2008)
A.M.C. Davies, Tom Fearn

The starting point for this column is the last one from last year! In that column TD began what was intended to be a two-part story but has, with this column, become a story in four parts. There were required topics we had not covered and we need to begin this column by completing the discussion of removing multiplicative effects by describing what the two most popular methods do to NIR spectra.

Tony Davies Column  |  Issue 19/6 (2007)
A.M.C. Davies, Tom Fearn

The last TD column showed the effect of calculating second derivatives on a set of 100 spectra, which will be the starting point for this column.

Tony Davies Column  |  Issue 19/4 (2007)
A.M.C. Davies

This column is about the most basic of pre-treatments, which has been used in spectroscopy well before the word "Chemometrics" was invented.

Tony Davies Column  |  Issue 19/2 (2007)
Shou-He Yan

This article focusses on the application of near infrared (NIR) spectroscopy as a potential substitute to the sensory evaluation of tea quality.

Article  |  Issue 19/2 (2007)

Erik Skibsted

Novo Nordisk, CMC Supply, Analytical Development, Denmark. E-mail: [email protected]

Article  |  Issue / ()

Gerard Downey,a* J. Daniel Kellya and Cristina Petisco Rodriguezb

aTeagasc, Ashtown Food Research Centre, Ashtown, Dublin 15, Ireland. E-mail: [email protected]
b Instituto de Recursos Naturales y Agrobiología, CSIC, Apdo 257, 37071 Salamanca, Spain

Article  |  Issue / ()

S. Benali,a D. Bertrand,b J. Dupuyc and G. Lachenald

aUniversité de Mons Hainaut, Matériaux Polymères et Composites, Place du Parc, 20 ,7000 Mons, Belgium
bENITIAA-INRA, Unité de Sensométrie et Chimiométrie, BP 82225, 44322 Nantes Cedex 03, France. E-mail: [email protected] 

Article  |  Issue / ()
A.M.C. Davies

A.M.C. Davies

Norwich Near Infrared Consultancy, 75 Intwood Road, Cringleford, Norwich NR4 6AA, UK

Introduction

In my last column I began a revision of basic chemometrics.1 In this column I will discuss some interpretation of the results produced by principal component analysis (PCA) as part two of this revision programme.

Tony Davies Column  |  Issue 17/2 (2005)

Gerhard Litscher

Biomedical Engineering and Research in Anesthesia and Intensive Care Medicine, Medical University of Graz, Auenbruggerplatz 36, A-8036 Graz, Austria. E-mail: [email protected]; http://litscher.at; http://litscher.info

Article  |  Issue / ()
A.M.C. Davies, Tom Fearn

PCA is a mathematical method of reorganising information in a data set of samples. It can be used when the set contains information from only a few variables but it becomes more useful when there are large numbers of variables, as in spectroscopic data.

Tony Davies Column  |  Issue 16/6 (2004)
A.M.C. Davies

A.M.C. Davies

Norwich Near Infrared Consultancy, 75 Intwood Road, Cringleford, Norwich NR4 6AA, UK

Tony Davies Column  |  Issue 16/4 (2004)

Richard A. Crocombe

Axsun Technologies, Inc., 1 Fortune Drive, Billerica, MA 01821, USA

Article  |  Issue / ()
A.M.C. Davies

A.M.C. Davies

Norwich Near Infrared Consultancy, 75 Intwood Road, Cringleford, Norwich NR4 6AA, UK

Tony Davies Column  |  Issue 16/2 (2004)
A.M.C.Davies, Tom Fearn

A.M.C.Davies,a and Tom Fearn,b

aNorwich Near Infrared Consultancy, 75 Intwood Road, Cringleford, Norwich NR4 6AA,UK
bDepartment of Statistical Science, University College London, Gower Street, London

Tony Davies Column  |  Issue 14/6 (2002)