Informing Spectroscopists for Over 40 Years


Displaying 221–240 of 255 results


Antonella Rossi,a,b Bernhard Elsenera and Nicholas D. SpencerbaDepartment of Inorganic and Analytical Chemistry, University of Cagliari, Campus of Monserrato, 09100 Cagliari, Italy

Issue 16/6 (2004)

Trilinear fluorescence spectroscopy is emerging as one of the most powerful techniques to study chemical equilibria, monitor chemical reactions and to analyse test samples. But what is trilinear fluorescence spectroscopy?

Issue 16/6 (2004)

Philip F. Taday and David A. Newnham

TeraView Limited, 302/304 Cambridge Science Park, Milton Road, Cambridge, CB4 0WG, UK. E-mail:

Andy Meharg

School of Biological Sciences, University of Aberdeen, Cruickshank Building, St Machar Drive, Aberdeen, AB24 3UU, Scotland

Philip Martina,c and Robert Holdsworthb

aDepartment of Chemical Engineering, UMIST, PO Box 88, Manchester M60 1QD, UK. E-mail:
bTDL Sensors Ltd, UVL, 70–72 Sackville Street, Manchester, UK. E-mail:
cFrom 1 October 2004, School of Chemical Engineering and Analytical Science, University of Manchester

Raymond J. Abraham and Mehdi Mobli

Chemistry Department, The University of Liverpool, PO Box 147, Liverpool L69 3BX, UK

Phillip R. Greene and Colin D. Bain

Department of Chemistry, University of Oxford, Chemistry Research Laboratory, Mansfield Road, Oxford, OX1 3TA, UK

J. Mortona and Simon M. Nelmsb

aBiological Monitoring, Health and Safety Laboratory, Broad Lane, Sheffield, S3 7HQ, UK
bThermo Electron Corporation, Ion Path, Road Three, Winsford, Cheshire, CW7 3BX, UK

Richard A. Crocombe

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

Steve Down

HD Science Limited, 16 Petworth Avenue, Toton, Nottingham NG9 6JF, UK

Peter Wilhelm,a Boril Chernev,a Peter Pölt,a Gerald Kothleitner,a Klaus-Jochen Eichhorn,b Gisela Pompe,b Nikola Johnerc and Alexander Piryc

aResearch Institute for Electron Microscopy, Graz University of Technology; Steyrergasse 17, A-8010 Graz, Austria. E-mail:
bInstitute of Polymer Research Dresden; Hohe Straße 6, D-01069 Dresden, Germany

Robert H.H. van den Heuvel* and Albert J.R. Heck

Department of Biomolecular Mass Spectrometry, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, The Netherlands

The goal of building a multivariate calibration model is to predict a chemical or physical property from a set of predictor variables, e.g. analyte concentration or octane number from a near infrared (NIR) spectrum. A good multivariate calibration model should be able to replace the laborious, possibly imprecise reference method. The quality of a model therefore primarily depends on its predictive ability. Other properties such as interpretability of the model coefficients might also be of interest, but here the focus is on the problem of quantifying the predictive ability.

Issue 16/1 (2004)

Gabriel Pinto and Isabel Paz

Departamento de Ingeniería Química Industrial y del Medio Ambiente, E.T.S.I. Industriales, Universidad Politécnica de Madrid, José Gutiérrez Abascal 2, 28006 Madrid, Spain

Paul Dumas

LURE, centre Universitaire Paris Sud, BP 34, F-91898 Orsay Cédex, France

Mark J. Tobin

CCLRC Daresbury Laboratories, Warrington, Cheshire WA4 4AD, UK

Philippe Colomban

LA​DIR-UMR 7075 CNRS & Université P. & M. Curie, 2 rue Henry Dunant, 94320 Thiais, France

G.J. Price, G.W. Fraser, J.F. Pearson, I.B. Hutchinson, A.D. Holland, J. Nussey, D. Vernon, D. Pullan and K. Turner

Space Research Centre, Department of Physics and Astronomy, University of Leicester, Leicester LE1 7RH, UK. E-mail:

E.A.H. Timmermans and J.J.A.M. van der Mullen*

Department of Applied Physics, Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands. E-mail address

T. Wirtz and H.-N. Migeon

Laboratoire d’Analyse des Matériaux, Centre de Recherche Public - Gabriel Lippmann, 162A, av. de la Faïencerie, L-1511 Luxembourg,

David Chenery and Hannah Bowring

Smith & Nephew Group Research Centre, York Science Park, Heslington, York YO10 5DF, UK