Direct determination of tannins in Acacia mearnsii bark using near-infrared spectroscopy

Analytical Methods

Volumn 6, Issue 20, 2014, Pages 8299-8305

  Menezes, Caren Machado ^a   Ben Da Costa, Adilson ^a   Renner, Ricardo Rocha ^a   Bastos, Lucas Ferreira ^a   Ferrão, Marco Flôres ^b,c   Dressler, Valderi Luiz ^d  

^a UNIVERSITY OF SANTA CRUZ DO SUL   (Brazil)

^b FEDERAL UNIVERSITY OF RIO GRANDE DO SUL   (Brazil)

^c Instituto Nacional de Ciência e Tecnologia em Bioanalítica   (Brazil)

^d FEDERAL UNIVERSITY OF SANTA MARIA   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

CALIBRATION; FLAVONOIDS; INDIUM METALLOGRAPHY; LEAST SQUARES APPROXIMATIONS; MEAN SQUARE ERROR; MULTIVARIABLE SYSTEMS; NEAR INFRARED SPECTROSCOPY; SPECTROMETERS; TANNINS;

DIRECT DETERMINATION; EXTRACTION PROCESS; INTEGRATING SPHERES; MULTIVARIATE CALIBRATION METHODS; PARTIAL LEAST SQUARES MODELS; REAGENT CONSUMPTION; ROOT-MEAN-SQUARE ERROR OF PREDICTIONS; SAMPLE PREPARATION;

INFRARED DEVICES;

EID: 84907509847     PISSN: 17599660     EISSN: 17599679     Source Type: Journal    
DOI: 10.1039/c4ay01558d     Document Type: Article

References (38)

1. J. A. Duke, Handbook of legumes of world economic importance, Plenum Press, New York, 1981, p. 345
2. R. W. Dunlop, Acacia mearnsii De Wild, ed., P. C. M. Jansen, and, D. Cardon, 3: Dyes and tannins/Colorant, [CD-Rom], PROTA, Wageningen, Netherlands, 2005, p. 216
3. A. G. Brown, T. H. Booth, D. J. Boland, P. N. Martensz, L. A. J. Thomson, N. Hall, ed., J. C. Doran, and, J. W. Turnbull, Australian trees and shrubs: species for land rehabilitation and farm planting in the tropics, Australian Centre for International Agricultural Research (ACIAR), 1997, p. 384
4. S. P. Sherry, The black wattle (Acacia mearnsii de Wild.), University of Natal Press, Pietermatitzburg, 1971
5. L. Bravo Nutr. Rev. 1998 56 11 317 333
6. Handbook of wood chemistry and wood composites, ed., R. M. Rowell, CRC press, New York, 2nd edn, 2012, p. 687
7. A. F. Santos, Circular técnica, Embrapa Florestas, 2001, vol. 44
8. M. R. Pansera G. A. Iob A. C. Atti-Santos M. Rossato L. Atti-Serafini E. Cassel Braz. Arch. Biol. Technol. 2004 47 6 995 998
9. BRASIL, Associação Brasileira de Normas Técnicas (ABNT), NBR 11131-Insumos-Tanantes-Determinação do teor de constituintes não-tanantes e tanantes, 2008
10. G. C. Lopes A. C. C. Sanches C. E. M. D. Toledo A. C. Isler J. C. D. Mello Braz. J. Pharm. Sci. 2009 45 1 135 143
11. M. N. V. Prasad Biomass Bioenergy 1995 8 3 203 205
12. S. A. Derkyi B. Adu-Amankwa D. Sekyere A. Darkwa J. Emerging Trends Eng. Appl. Sci. 2011 2 1 132 136
13. C. Pasquini A. F. Bueno Fuel 2007 86 12 1927 1934
14. D. A. Burns and E. W. Ciurczak, Handbook of near-infrared analysis, CRC press, New York, 3nd edn, 2007, vol. 35, p. 808
15. F. J. Holler, D. A. Skoog and S. R. Crouch, Princípios de análise instrumental, Bookman, 2009
16. G. Parisotto M. F. Ferrão A. L. Müller E. I. Müller M. F. Santos R. C. Guimarães J. C. M. Dias É. M. Flores Energy Fuels 2010 24 10 5474 5478
17. R. M. Balabin R. Z. Safieva E. I. Lomakina Microchem. J. 2011 98 1 121 128
18. N. Sinelli L. Cerretani V. D. Egidio A. Bendini E. Casiraghi Food Res. Int. 2010 43 1 369 375
19. M. H. Killner J. J. Rohwedder C. Pasquini Fuel 2011 90 11 3268 3273
20. R. M. Balabin R. Z. Safieva Anal. Chim. Acta 2011 689 2 190 197
21. D. Mueller M. F. Ferrão L. Marder A. B. Costa R. C. S. Schneider Sensors 2013 13 4 4258 4271
22. C. F. C. Ruschel C. T. Huang D. Samios M. F. Ferrão Quim. Nova 2014 37 5 810 815
23. C. Pasquini C. J. G. Carneiro P. M. Bomfim O Papel 2007 68 71 83
24. T. M. Venas A. Rinnan Chemom. Intell. Lab. Syst. 2008 92 2 125 130
25. P. R. G. Hein J. T. Lima C. Gilles Floresta 2010 40 3 615 624
26. S. A. Derkyi B. Adu-Amankwa D. Sekyere A. Darkwa Int J Appl Sci 2011 2 1 1 11
27. Z. Xiaobo Z. Jiewen M. J. Povey M. Holmes M. Hanpin Anal. Chim. Acta 2010 667 1 14 32
28. R. W. Kennard L. A. Stone Technometrics 1969 11 1 137 148
29. É. S. Ferreira, Tese, Programa de Pós-Graduação em Engenharia Florestal, Universidade Federal do Paraná, Curitiba, 2010
30. G. D. Matos E. R. P. Filho R. J. Poppi M. A. Z. Arruda Revista Analytica 2003 6 38 50
31. A. Rinnan F. V. D. Berg S. B. Engelsen TrAC, Trends Anal. Chem. 2009 28 10 1201 1222
32. H. Martens, Multivariate calibration, John Wiley & Sons, Norway, 1991, p. 423
33. P. Geladi B. R. Kowalski Anal. Chim. Acta 1986 185 1 17
34. Ø. Hammer D. A. T. Harper P. D. Ryan PAST: Paleontological Statistics Software Package for Education and Data Analysis Palaeontologia Electronica 2001 4 1 9
35. R. E. Bruns, I. S. Scarminio, B. de Barros Neto, Statistical Design: Chemometrics, Elsevier, Amsterdam, 2006, p. 412
36. Process analytical technology: spectroscopic tools and implementation strategies for the chemical and pharmaceutical industries, ed., K. A. Bakeev, Wiley, 2nd edn, 2010, p. 576
37. S. I. Ishiuchi M. Fujii T. W. Robinson B. J. Miller H. G. Kjaergaard J. Phys. Chem. A 2006 110 23 7345 7354
38. L. G. Weyer Appl. Spectrosc. Rev. 1985 21 1-2 1 43