Potential field-deployable NIRS identification of seven Dalbergia species listed by CITES-Reference-Cited by-同舟云学术

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Potential field-deployable NIRS identification of seven Dalbergia species listed by CITES

Published:2018-06-22 Issue:5 Volume:52 Page:1411-1427
ISSN:0043-7719
Container-title:Wood Science and Technology
language:en
Short-container-title:Wood Sci Technol

Author:

Snel Filipe A.,Braga Jez W. B.,da Silva Diego,Wiedenhoeft Alex C.,Costa Adriana,Soares Richard,Coradin Vera T. R.,Pastore Tereza C. M.

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Plant Science,General Materials Science,Forestry

Link

http://link.springer.com/article/10.1007/s00226-018-1027-9/fulltext.html

Reference35 articles.

1. Acquah GE, Via BK, Billor N, Fasina OO, Eckhardt LG (2016) Identifying plant part composition of forest logging residue using infrared spectral data and linear discriminant analysis. Sensors 16:1375–1390. https://doi.org/10.3390/s16091375

2. Adedipe OE, Dawson-Andoh B, Slahor J, Osborn L (2008) Classification of red oak (Quercus rubra) and white oak (Quercus alba) wood using a near infrared spectrometer and soft independent modelling of class analogies. J Near Infrared Spectrosc 16(1):49–57. https://doi.org/10.1255/jnirs.760

3. Ballabio D, Todeschini R (2009) Multivariate classification for qualitative analysis. In: Da-Wen S (ed) Infrared spectroscopy for food quality analysis and control, 1st edn. Academic Press, London, pp 83–104

4. Bergo MCJ, Pastore TCM, Coradin VTR, Wiedenhoeft AC, Braga JWB (2016) NIRS identification of Swietenia macrophylla is robust across specimens from 27 countries. IAWA J. 37(3):420–430. https://doi.org/10.1163/22941932-20160144

5. Botelho BG, Reis N, Oliveira LS, Sena MM (2015) Development and analytical validation of a screening method for simultaneous detection of five adulterants in raw milk using mid-infrared spectroscopy and PLS-DA. Food Chem 181:31–37. https://doi.org/10.1016/j.foodchem.2015.02.077

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