JNIRS Table of Contents

J. Near Infrared Spectrosc. Volume 12 Issue 4 (2004)

Pages 207–220

doi: 10.1255/jnirs.428

Near infrared spectroscopy and pattern recognition methods applied to the classification of vinegar according to raw material and elaboration process

M.J. Sáiz-Abajo, J.M. González-Sáiz and C. Pizarro
Department of Chemistry, University of La Rioja, C/ Madre de Dios 51, 26006, Logroño, La Rioja, Spain

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Pages 221–232

doi: 10.1255/jnirs.429

A comparative study on the cure behaviour of thermal- and microwave-processed epoxy resin

Balkarransingh Degamber^* and Gerard F. Fernando
Sensors & Composites Group, Cranfield University, Shrivenham, Swindon, SN6 8LA, UK

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Pages 233–240

doi: 10.1255/jnirs.430

Kromoscopic^aidentification of in vivo water variations

Howard E. Guthermann,^* Michael W. Misner and Myron J. Block
Optix LP, 103 Pleasant Street, Cambridge, MA 02139, USA. E-mail: optixlp@comcast.net

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Pages 241–250

doi: 10.1255/jnirs.431

Effect of water and physical state on near- and mid-infrared partial least squares calibrations for multi-component carbohydrate mixtures^a

James B. Reeves, III
USDA, Agricultural Research Service, Animal Manure and By-Products Laboratory, Bldg 306, Rm 101, BARC East, Beltsville, MD 20705, USA

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Pages 251–258

doi: 10.1255/jnirs.432

Prediction of shive content in pilot plant processed flax by near infrared reflectance spectroscopy

Miryeong Sohn^*, Franklin E. Barton, II, W. Herbert Morrison, III and Danny E. Akin
USDA-Agricultural Research Service, Richard B. Russell Agricultural Research Center, PO Box 5677, Athens, Georgia 30605, USA. E-mail: msohn@qaru.ars.usda.gov

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Pages 259–262

doi: 10.1255/jnirs.433

A new approach for estimating purity of processed flax fibre by NIR spectroscopy

Miryeong Sohn,^* Franklin E. Barton, II, Danny E. Akin and W. Herbert Morrison, III
USDA-Agricultural Research Service, Richard B. Russell Agricultural Research Center, PO Box 5677, Athens, Georgia 30605, USA. E-mail: msohn@qaru.ars.usda.go

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Pages 263–270

doi: 10.1255/jnirs.434

Estimation of the physical wood properties of Pinus taeda L. radial strips using least squares support vector machines

R.P. Cogdill,^a* L.R. Schimleck,^b P.D. Jones,^b G.F. Peter,^c R.F. Daniels^b and A. Clark, III^d
^aGraduate School of Pharmaceutical Sciences, Duquesne University, Pittsburgh, PA 15282, USA. E-mail: cogdillr@duq.edu
^bWarnell School of Forest Resources, The University of Georgia, Athens, GA 30602-2152, USA
^cSchool of Forest Resources and Conservation, University of Florida, Gainesville, FL, USA
^dUSDA Forest Service, Southern Research Station, Athens, GA, USA

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Techniques:

NIR Spectroscopy