Near infrared spectroscopy for high-throughput characterization of shea tree (Vitellaria paradoxa) nut fat profiles

Journal of Agricultural and Food Chemistry

Volumn 58, Issue 13, 2010, Pages 7811-7819

  Davrieux, Fabrice ^a   Allal, François ^a   Piombo, Georges ^a   Kelly, Bokary ^b   Okulo, John B ^c   Thiam, Massamba ^d   Diallo, Ousmane B ^e   Bouvet, Jean Marc ^a  

^a CIRAD   (France)

^b PRF/CRRA SIKASSO   (Mali)

^c MAKERERE UNIVERSITY   (Uganda)

^d Institut Sénégalais de la Recherche Agronomique   (France)

^e INSTITUT DE L ENVIRONNEMENT ET DE RECHERCHES AGRICOLES INERA   (Burkina Faso)

Author keywords

Fatty acids; High throughput characterization; Mpls regression; NIRS; Shea butter; Vitellaria paradoxa

Indexed keywords

FATTY ACID; PLANT EXTRACT;

ARTICLE; CHEMISTRY; EVALUATION; METHODOLOGY; NEAR INFRARED SPECTROSCOPY; NUT; SAPOTACEAE; EVALUATION STUDY; PROCEDURES;

FATTY ACIDS; NUTS; PLANT EXTRACTS; SAPOTACEAE; SPECTROSCOPY, NEAR-INFRARED;

VITELLARIA; VITELLARIA PARADOXA;

EID: 77954554544     PISSN: 00218561     EISSN: 15205118     Source Type: Journal    
DOI: 10.1021/jf100409v     Document Type: Article

References (33)

1. Hall, J. B.; Aebischer, D. P.; Tomlinson, H. F.; Osei-Amaning, E.; Hindle, J. R. Vitellaria paradoxa: A Monograph; School of Agricultural and Forest Sciences, University of Wales: Bangor, U.K.: 1996; p 105.
2. Neumann, K.; Kahlheber, S.; Uebel, D. Remains of woody plants from Saouga, a medieval West African village. Veget. Hist. Archaeobot. 1998, 7, 57-77.
3. Lovett, P.; Haq, N. Evidence for anthropic selection of the Sheanut tree (Vitellaria paradoxa). Agroforestry systems 2000, 48, 273-288.
4. Maranz, S.; Wiesman, Z.; Bisgaard, J.; Bianchi, G. Germplasm resources of Vitellaria paradoxa based on variations in fat composition across the species distribution range. Agrofor. Syst. 2004, 60, 71-76.
5. Di Vincenzo, D.; Maranz, S.; Serraiocco, A.; Vito, R.; Wiesman, Z.; Bianchi, G. Regional Variation in Shea Butter Lipid and Triterpene Composition in Four African Countries. J. Agric. Food Chem. 2005, 53, 7473-7479.
6. Tchobo, F.; Natta, A.; Barea, B.; Barouh, N.; Piombo, G.; Pina, M.; Villeneuve, P.; Soumanou, M.; Sohounhloue, D. Characterization of Pentadesma butyracea sabine Butters of Different Production Regions in Benin. J. Am. Oil Chem. Soc. 2007, 84, 755-760.
7. Buchgraber, M.; Ulberth, F.; Anklam, E. Cluster Analysis for the Systematic Grouping of Genuine Cocoa Butter and Cocoa Butter Equivalent Samples Based, on Triglyceride Patterns. J. J. Agric. Food Chem. 2004, 52, 3855-3860.
8. Pasquini, C. Near Infrared Spectroscopy: fundamentals, practical aspects and analytical applications. J. Braz. Chem. Soc. 2003, 14, 198-219.
9. Shenk, J. S.; Westerhaus, M. O. Population Definition, Sample Selection, and Calibration Procedures for Near Infrared, Reflectance Spectroscopy. Crop Sci. 1991, 31, 469-474.
10. Williams, P.; Norris, K. Near-Infrared Technology: in the Agricultural and food industries, 2nd ed.; American Association of Cereal Chemists, Inc: USA, 2001; p 330.
11. Fox, G.; Cruickshank, A. Near infrared reflectance as a rapid and inexpensive surrogate measure for fatty acid composition and oil content of peanuts (Arachis hypogaea L.). J. Near Infrared Spectrosc. 2005, 13, 287-291.
12. Sato, T. New Estimation Method for Fatty Acid Composition in Oil Using Near Infrared Spectroscopy. Biosci., Biotechnol., Biochem. 2002, 66, 2543-2548.
13. Sato, T.; Kawano, S.; Iwamoto, M. Near infrared spectral, patterns of fatty acid, analysis from fats and oils. J. Am. Oil Chem. Soc. 1991, 68, 827-833.
14. Sato, T.; Maw, A.; Katsuta, M. NIR reflectance spectroscopic analysis of the FA composition in sesame (Sesamum indicum L.) seed. J. Am. Oil Chem. Soc. 2003, 80, 1157-1161.
15. Grubbs, F. E. Procedures for Detecting Outlying Observations in Samples. Technometrics 1969, 11, 1-21.
16. Barnes, R. J.; Dhanoa, M. S.; Lister, S. J. Standard Normal Variate Transformation and De-trending of Near-Infrared Diffuse Reflectance Spectra. Appl. Spectrosc. 1989, 43, 772-777.
17. Barnes, R. J.; Dhanoa, M. S.; Lister, S. J. Letter: Correction to the description of Standard Normal Variate (SNV) and De-Trend (DT) ransformations in Practical Spectroscopy with Applications in Food and everage Analysis-2nd Edition. J. Near Infrared Spectrosc. 1993, 1, 185-186.
18. Savitzky, A.; Golay, M. J. E. Smoothing and Differentiation of Data by Simplified Least Squares Procedures. Anal. Chem. 1964, 36, 1627-1639.
19. Shenk, J. S.; Westerhaus, M. O. Routine Operation, Calibration Development Manual; Infrason International: Silver Spring, MD, 1996.
20. Wold, H. Non-linear iterative partial least squares (NIPALS) modelling. Some current developments. In Multivariate Analysis; Krishnaiah, P. R., Ed.; Academic Press: New York, 1973; Vol. III, pp 387-407.
21. Wold, S. Cross-validatory estimation of the number of components in factor and principal components models. Technometrics 1978, 20, 397-405.
22. Burns, D. A.; Ciurczak, E. W. E. Handbook of Near-Infrared Analysis; Marcel. Dekker, Inc.: New York, 1992; p 680.
23. Sinnaeve, G.; D., P.; Agneessens, R.; Biston, R. The use of near infrared spectroscopy for the analysis of fresh grass silage. J. Near Infrared Spectrosc. 1994, 2, 79-84.
24. Verger, R.; Rivière, C. Les enzymes lipolytiques: une étude cinétique. Rev. Fr. Corps Gras. 1987, 1, 7-13.
25. Lovett, P. N.; Haq, N. Diversity of the Sheanut tree (Vitellaria paradoxa, C.F. Gaertn.) in Ghana, Genet. Resour. Crop Evol. 2000, 47, 293-304.
26. Osborne, B.; Fearn, T.; Hindle, P. Practical NIR spectroscopy: with applications in food and beverage analysis; Longman. Scientific & Technical: Harlow, England, 1993; p 227.
27. Kovalenko, I.; Rippke, G.; Hurburgh, C. Measurement of soybean fatty acids by near-infrared spectroscopy: Linear and nonlinear calibration methods. J. Am. Oil Chem. Soc. 2006, 83, 421-427
28. Guyot, B.; Davrieux, F.; Manez, J. C.; Vincent, J. C. Determination of caffeine and dry matter content by Near Infrared, spectrometry. Applications in raw Robusta coffee and roasted coffees. Café Cacao Thé 1993, 37, 53-64.
29. ProKarité Regional Technical Committee on Africa regional standard for shea kernel: www.ProKarité.org.
30. Panford, J.; deMan, J. Determination of oil content of seeds by NIR: Influence of fatty acid composition on wavelength, selection. J. Am. Oil Chem. Soc. 1990, 67, 473-482.
31. Sohn, M.; Kim, Y.; Vines, L. L.; Kays, S. W. Near infrared analysis of lipid classes in processed cereal products. J. Near Infrared Spectrosc. 2009, 17, 127-133.
32. Shanklin, J.; Somerville, C. Stearoyl-acyl-carrier-protein desaturase from higher plants is structurally unrelated to the animal and fungal homologa. Prou. Natl, Acad. Sci. U.S.A. 1991, 88, 2510-4.
33. Somerville, C.; Browse, J.; Jaworski, J. G.; Ohlrogge, J. B. Lipids. In Biochemistry and Molecular Biology of Plants; Buchanan, B., Jones, R., Gruissem, W., Eds.; American Society of Plant Physiologists: Rockville, MD, 2000; Chapter 10.