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Rapid Prediction of Extractives and Polyphenolic Contents in Pinus caribaea Bark Using Near Infrared Reflectance Spectroscopy
Benjamin Adu-Amankwa, Nicholas Albert Darkwa, Daniel Sekyere
Pages - 1 - 11     |    Revised - 31-03-2011     |    Published - 04-04-2011
Volume - 2   Issue - 1    |    Publication Date - March / April 2011  Table of Contents
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KEYWORDS
Folin-Ciocalteu Assay, Chemometric Modeling, Soxhlet Extraction, First Derivative Spectra, Spectroscopy
ABSTRACT
The potential of near infrared reflectance spectroscopy (NIRS) for rapidly and accurately determining the extractives and polyphenol contents in Pinus caribaea bark extracts was assessed. Pinus caribaea bark samples were obtained from 110 trees in plantation stands at different locations of Ghana and were then scanned by NIRS. Their extractives and polyphenol contents reference values were obtained by TAPPI T204 om-88 and Folin-Ciocalteu methods respectively. These reference values were regressed against different spectral transformations using partial least square (PLS) regression. First derivative transformation equation of the raw spectral data, resulted in a coefficient of determination r2 in the external validation of 0.91 and 0.97 respectively for extractives content and polyphenol content. The calibration samples covered a wide range of extractives content from 34 – 45% and polyphenolic content from 16 – 23.5%. The standard deviation to root mean square error of cross validation ratio (SD/RMSECV), root mean square error of calibration to standard deviation ratio (RMSEC/SD), RMSECV/RMSEC and r2 for both extractives and polyphenol models were indicative of good prediction equations. The predicted values were thus highly correlated with time-consuming wet chemical measured values of extractives content and polyphenol content. The use of NIRS for the determination of the extractives and polyphenol contents in Pinus caribaea bark thus provides an advantage of time saving and cost of analysis.
CITED BY (8)  
1 Acquah, G. E., Via, B. K., Fasina, O. O., & Eckhardt, L. G. (2015). Non-destructive prediction of the properties of forest biomass for chemical and bioenergy applications using near infrared spectroscopy. Journal of Near Infrared Spectroscopy, 23(2), 93-102.
2 Kothiyal, V., Bhandari, S., Ginwal, H. S., & Gupta, S. (2015). Multi-species NIR calibration for estimating holocellulose in plantation timber. Wood Science and Technology, 49(4), 769-793.
3 Menezes, C. M., da Costa, A. B., Renner, R. R., Bastos, L. F., Ferrão, M. F., & Dressler, V. L. (2014). Direct determination of tannins in Acacia mearnsii bark using near-infrared spectroscopy. Analytical Methods, 6(20), 8299-8305.
4 Niamké, F. B., Amusant, N., Kadio, A. A., Thevenon, M. F., Nourissier, S., Adima, A. A., ... & Chaix, G. (2014). Rapid prediction of phenolic compounds as chemical markers for the natural durability of teak (Tectona grandis Linn f.) heartwood by near infrared spectroscopy. Journal of Near Infrared Spectroscopy, 22(1), 35-43.
5 Rover, M. R. (2013). Analysis of sugars and phenolic compounds in bio-oil.
6 Rover, M. R., & Brown, R. C. (2013). Quantification of total phenols in bio-oil using the Folin–Ciocalteu method. Journal of Analytical and Applied Pyrolysis, 104, 366-371.
7 VINHO, C. F. C. A. U., DE CARVALHO, S. P. A., CEREJEIRA, C. E. R., & DE QUEIMA, I. D. N. (2012). Phenolic compounds released from oak, cherry, chestnut and robinia chips into a syntethic wine: influence of toasting level. Ciência Téc. Vitiv, 27(1), 17-26.
8 Soares, B., Garcia, R., Freitas, A. M. C., & Cabrita, M. J. (2012). Compostos fenólicos cedidos a um vinho sintético por aparas de carvalho, cerejeira, castanheiro e robinia: influência do nível de queima. Ciência e Técnica Vitivinícola, 27(1), 17-26.
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1 Y. Yazaki and W.E. Hillis. “Polyphenolic extractives of Pinus radiata bark”. Holzforschung, 31(1):20-25, 1997
2 Y. Yazaki and W.E. Hillis. “Molecular size distribution of radiate pine bark extracts and its effects on properties”. Holzforschung, 34(1):125-130, 1980
3 A. Pizzi. “Pine tannin adhesives for particle board”. Holz Roh-Wekstoff, 40(1):293-301 1982
4 D.J. Jenkin. “Adhesives from Pinus radiata bark estraction”. In: International Symposium on Adhesion and Adhesives. Washington State University, Pullman, Washington, 1982
5 J.K. Woo, “Bark adhesives for particle board and plywood”. In International Symposium on Adhesion and Adhesives. Washington State University, Pullman, Washington, 1982.
6 V.J. Sealy-Fisher and A. Pizzi, “Increased pine tannins extraction and wood adhesives development by phlobaphenes minimization”. Holz Roh-Wekstoff. 50(1):212-220, 1992
7 A. Pizzi , E.P. von Leyser, J. Valenzulela and J.G. Clark. “The chemistry and development of pine tannin adhesives for exterior plywood”. Holzforschung 47(1):168-169, 1993
8 A. Pizzi , J. Valenzulela and C. Westmeyer. “Low formaldehyde emission, fast pressing pine and pecan tannin adhesives for exterior particleboard”. Holz Roh-Wekstoff, 52(1):311-315 1994
9 P. Geladi P and B.R. Kowalski, “Partial least squares regression: A tutorial”. Anal. Chim. Acta. 1986
10 R.J. Olson, P. Tomani, M. Karlsson, T. Josefsson, K. Sjoberg and C. Bjorklund, “Multivariate characterization of chemical and physical descriptors in pulp using NIRS”. Tappi J, 78(10):158-165,1995
11 L.R. Schimleck, P.J. Wright, A.J. Michell and A.F.A. Wallis, “Near infrared spectra and chemical compositions of Eucalptus globules and E. nitens plantation woods”. Appita J, 50(1): 40-46, 1997
12 A. Marklund, J.B. Hauksson, U. Edlund and M. Sjostrom. “Multivariate data analysis based on orthogonal signal correction and near infrared spectroscopy”. Nord. Pulp Pap. Res. J, 14(2):140-148,1999
13 B.G. Osborne, T. Fearn and P.H. Hindle. “Practical NIR Spectroscopy with Applications in Food and Beverage Analysis”. Longman Scientist and Technical, Harlow, UK. 1993
14 S. Wold. “Cross-validation estimation of the number of components in factor and principal components models”. Technometrics, 20(1):397-405, 1978
15 D. Betrand and E. Dufour. La spectroscopie infrarouge et ses applications analytiques. Collection sciences et technique agroalimentaires, édition Tec et Doc. 2000
16 L.R. Schimleck and A.J. Michell. “Determination of within-tree variation of kraft pulp yield using near infrared spectroscopy”. Appita J, 81(1):229-236, 1998
17 J.A. Wright, M.D. Birkett and M.J.T. Grambino. “Prediction of pulp yield and cellulose content from wood samples using near infrared reflectance spectroscopy”, Tappi J. 73(8):164- 166, 1990
18 Tappi test method T204 om-88, Solvent extractives of wood and pulp, 1997.
19 Singleton, V.L. and J.A. Jr. Rossi. “Colorimetry of total phenolics with phosphomolybdic-phosphotungstic acid reagents”. Am. J. Enol. Vitic., 16(1):144-158, 1965
20 A. Savitzky and M.J.E. Golay, “Smoothing and differentiation of data by simplified least squares Procedures”. Anal Chem, 36(1):1627-1639, 1964
21 F. Westad and H. Martens. “Variable selection in near infrared spectroscopy based on significance testing in partial least squares regression”. J. Near Infrared Spectrosc, 8(2):117-124, 2000
22 J.S. Shenk, J.J. Workmann, and M.O. Westerhaus. “Application of NIR spectroscopy to agricultural products”. In Handbook of Near Infrared Analysis. Ed by. D.A. Burns, E.W. Ciurczak. Marcel Dekker,New York. pp. 383-431 (1992)
23 K.H. Basset, C.H. Liang and R.H. Marchessault. “The infrared spectrum of crystalline polysaccharides, IX. The near infrared spectrum of cellulose”. J. Polym. Sci, 1(1):1687-1692 1963
24 F.E. Barton II and D.S. Himmelsbach. “Two-dimensional vibratiional spectroscopy II: Correlation of the absorptions of lignins in the mid- and near-infrared”. Appl. Spectrosc, 47(1): 1920-1925, 1993.
25 A.J. Michell and L.R. Schimleck. “NIR spectroscopy of woods from Eucalyptus globules”. Appita J,49(1):23-26, 1996
26 Z. Yu and R.A. Dahlgren. “Evaluation of methods for measuring polyphenols in conifer foliage”.Journal of Chemical Ecology, 26(1):2119-2140, 2000
27 L. Chapuis-Lardy, D. Contour-Ansel and F. Bernhard-Reversat. “High performance liquid chromatography of water-soluble phenolics in leaf litter of three Eucalyptus hybrids (Congo)”. Plant Science, 163(1):217-222, 2002
28 M.M. Couˆteaux, P. Rovira and B. Berg. “Near infrared reflectance spectroscopy for determination of organic matter fractions including microbial biomass in coniferous forest soils”. Soil Biology and Biochemistry, 35(1):1587-1600, 2003
29 C.W. Chang, D.A. Laird, M.J. Mausbach and C.R. Hurburgh. “Near infrared reflectance spectroscopy-principal components regression analyses of soil properties”. Soil Science Society of America Journal, 65(1):480-490, 2001
30 C. Chang and D.A. Laird. “Near-infrared reflectance spectroscopic analysis of soil C and N”. Soil Science, 167(1):110-116, 2002
31 G.W. Mathison, H. Hsu, R. Soofi-Siawash, G. Recinos-Diaz, E.K. Okine, J. Helm and P. Juskiw.“Prediction of composition and ruminal degradability characteristics of barley straw by near infrared reflectance spectroscopy”. Canadian Journal of Animal Science, 79(1):519-523, 1999
32 N. Gierlinger, M. Schwannminger, B. Hinterstoisser and R. Wimmer. “Rapid determination of heartwood extractives in Larix sp. by means of Fourier transform near infrared spectroscopy”. J. near infrared spectrosc, 10(1):203-214, 2002
33 M.J. Donkin and J. Pearce. “Tannin analysis by near infrared spectroscopy”. J. Soc. Leather Technol. Chem, 79(1):8-11, 1995
34 L.R. Schimleck and Y. Yazaki. “Analysis of Pinus radiata D. Don Bark by Near Infrared Spectroscopy”. Holzforscchung, 57(1):520-526, 2003.
Dr. Benjamin Adu-Amankwa
Kwame Nkrumah University of Science and Technology - Ghana
Associate Professor Nicholas Albert Darkwa
Kwame Nkrumah University of Science and Technology - Ghana
Dr. Daniel Sekyere
CSIR-Forestry Research Institute of Ghana - Ghana