Chemometric localization approach to NIR measurement of apparent amylose content of ground wheat

Cereal Chemistry

Volumn 80, Issue 4, 2003, Pages 462-467

  Wesley, I J ^a   Osborne, B G ^a   Anderssen, R S ^b   Delwiche, S R ^c   Graybosch, R A ^d  

^a BRI Australia Ltd   (Australia)

^b CSIRO   (Australia)

^c AGRICULTURAL RESEARCH SERVICE   (United States)

^d UNIVERSITY OF NEBRASKA LINCOLN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CALIBRATION; COST EFFECTIVENESS; CYCLODEXTRINS; FORECASTING; INFRARED DEVICES; LEAST SQUARES APPROXIMATIONS; NEAR INFRARED SPECTROSCOPY; PLANTS (BOTANY);

AMYLOSE CONTENT; BIMODAL DISTRIBUTION; CHEMOMETRICES; LOCALISATION; MEASUREMENTS OF; NEAR-INFRARED CALIBRATION; NEAR-INFRARED MEASUREMENTS; PROPERTY; RESAMPLING; WHEAT CULTIVARS;

ERRORS;

AMYLOSE;

ACCURACY; ALGORITHM; ARTICLE; BREEDING METHOD; CALIBRATION; CHEMOMETRIC ANALYSIS; CULTIVAR; FOOD ANALYSIS; NEAR INFRARED SPECTROSCOPY; RELIABILITY; STATISTICAL ANALYSIS; WHEAT;

TRITICUM AESTIVUM;

EID: 0038494536     PISSN: 00090352     EISSN: None     Source Type: Journal    
DOI: 10.1094/CCHEM.2003.80.4.462     Document Type: Article

References (29)

1. Bao, J. S., Cai, Y. Z., and Corke, H. 2001. Prediction of rice starch quality parameters by near-infrared reflectance spectroscopy. J. Food Sci. 66:936-939.
2. Berzaghi, P., Shenk, J. S., and Westerhaus, M. O. 2000. Local prediction with near infrared multi-product databases. J. Near Infrared Spectrosc. 8:1-9.
3. Crosbie, G. B., Wang, Y., Osborne, B. G., Allen, H. M., Palmer, G. A., Black, C., and Mares, D. J. 2001. Collaborative development of NIR quality tests for application in wheat breeding. Pages 562-564 in: Proc. 11th ICC Cereal and Bread Congress. M. Wootton, I. L. Batey, and C. W. Wrigley, eds. RACI: Melbourne, Australia.
4. Davies, A. M. C. 2002 The idea behind comparison analysis using restructured near infrared and constituent data (CARNAC). Pages 29-32 in: Near Infrared Spectroscopy: Proc. 10th Int. Conf. A. M. C. Davies and R. K. Cho, eds. NIR Publications: Chichester, UK.
5. Davies, A. M. C., Britcher, H. V., Franklin, J. G., Ring, S. M., Grant, A., and McClure, W. F. 1988. The application of Fourier-transformed near-infrared spectra to quantitative analysis by comparison of similarity indices (CARNAC). Mikrochimica Acta 1:61-64.
6. de Jong, S., and Kiers, H. A. L. 1992. Principal covariates regression. I. Theory. Chemometrics and Intelligent Laboratory Systems 14:155-164.
7. Delwiche, S. R., and Graybosch, R. A. 2002. Identification of waxy wheat by near-infrared reflectance spectroscopy. J. Cereal Sci. 35:29-38.
8. Delwiche, S. R., Bean, M. M., Miller, R. E., Webb, B. D., and Williams, P. C. 1995. Apparent amylose content of milled rice by near infrared reflectance spectrophotometry. Cereal Chem. 72:182-187.
9. Delwiche, S. R., McKenzie, K. S., and Webb, B. D. 1996. Quality characteristics in rice by near-infrared reflectance analysis of whole-grain milled samples. Cereal Chem. 73:257-263.
10. Delwiche, S. R., Graybosch, R. A., and Peterson, C. J. 1998. Predicting protein composition, biochemical properties, and dough-handling properties of hard red winter wheat flour by near-infrared reflectance. Cereal Chem. 75:412-416.
11. Efron, B., and Tibshirani, R. J. 1993. An Introduction to the Bootstrap. Chapman and Hall: New York.
12. Epstein, J., Morris, C. F., and Huber, K. C. 2002. Instrumental texture of white salted noodles prepared from recombinant inbred lines of wheat differing in the three granule bound starch synthase (waxy) genes. J. Cereal Sci. 35:51-63.
13. Fearn, T 1992. Flat or natural? A note on the choice of calibration samples. Pages 61-66 in: Proc. Near Infra-Red Spectroscopy: Bridging the Gap between Data Analysis and NIR Applications, K. L. Hildrum, T. Isaksson, T. Naes, and A. Tandberg, eds. Ellis Horwood: Chichester, UK.
14. Fearn, T. 1996. How accurate can you get? NIR News 7:3.
15. Fearn, T. 2002. Randomisation. NIR News 13:4-5.
16. Graybosch, R. A., Peterson, C. J., Hansen, L. E., Rahman, S., Hill, A., and Skerritt, J. H. 1998. Identification and characterization of U.S. wheats carrying null alleles at the wx loci. Cereal Chem. 75:162-165.
17. Knutson, C. A., and Grove, M. J. 1994. Rapid method for estimation of amylose in maize starches. Cereal Chem. 71:469-471.
18. Martens, H., and Naes, T. 1991. Multivariate Calibration. John Wiley and Sons: Chichester, UK.
19. Naes, T., Isaksson, T., and Kowalski, B. R. 1990. Locally weighted regression and scatter-correction of near-infrared reflectance data. Anal. Chem. 62:664-673.
20. Pawlinsky, T., and Williams, P. 1998. Prediction of wheat bread-baking functionality in whole kernals, using near infrared reflectance spectroscopy. J. Near Infrared Spectrosc. 6:121-127.
21. Regina, A., Morell, M. K., Sharp, P. J., Batey, I. L., and Curtin, B. 1997. Comparison of small scale methods for analysing amylose content in wheat. Pages 162-166 in: Proc. 47th Australian Cereal Chem. Conf. A. W. Tarr, A. S. Ross, and C. W. Wrigley, eds. RACI: Melbourne.
22. Shenk, J. S., and Westerhaus, M. O. 1991. Population definition, sample selection, and calibration procedures for near infrared reflectance spectroscopy. Crop Sci. 31:469-474.
23. Shenk, J. S., Westerhaus, M. O., and Berzaghi, P. 1997. Investigation of a local calibration procedure for near infrared instruments. J. Near Infrared Spectrosc. 5:223-232.
24. Shenk, J. S., Berzaghi, P., and Westerhaus, M. O. 1999. LOCAL: A unifying theory and concept for near infrared analysis. Pages 211-214 in: Proc. 9th Int. Conf. on Near Infrared Spectroscopy. NIR Publications: Chichester, UK.
25. Villareal, C. P., de la Cruz, N. M., and Juliano, B. O. 1994. Rice amylose analysis by near-infrared transmittance spectroscopy. Cereal Chem. 71:292-296.
26. Wang, Z., Isaksson, T., and Kowalski, B. R. 1994. New approach for distance measurement in locally weighted regression. Anal. Chem. 66:249-260.
27. Wesley, I. J., Uthayakumaran, S., Anderssen, R. S., Cornish, G., Bekes, F., Osborne, B. G., and Skerritt, J. H. 1999. A curve fitting approach to the near infrared reflectance measurement of wheat flour proteins which influence dough quality. J. Near Infrared Spectrosc. 7:229-240.
28. Wesley, I. J., Larroque, O., Osborne, B. G., Azudin, N., Allen, H., and Skerritt, J. H. 2001. Measurement of gliadin and glutenin content of flour by NIR spectroscopy. J. Cereal Sci. 34:125-134.
29. Williams, P., and Norris, K. 2001. Near-Infrared Technology in the Agricultural and Food Industries. Am. Assoc. Cereal Chem.: St. Paul, MN.