Use of near-infrared spectroscopy for screening the individual and total glucosinolate contents in Indian mustard seed (Brassica juncea L. Czern. & Coss.)

Journal of Agricultural and Food Chemistry

Volumn 52, Issue 11, 2004, Pages 3563-3569

  Font, Rafael ^a   Del Río, Mercedes ^a   Fernández Martínez, José M ^a   De Haro Bailón, Antonio ^a  

^a INSTITUTO DE AGRICULTURA SOSTENIBLE   (Spain)

Author keywords

Agriculture; Biofumigants; Brassica juncea; Glucosinolates; Near infrared spectroscopy; Screening

Indexed keywords

4 HYDROXYGLUCOBRASSICIN; GLUCONAPIN; GLUCOSINOLATE; SINIGRIN; UNCLASSIFIED DRUG;

ARTICLE; BRASSICA; CHEMICAL ANALYSIS; NEAR INFRARED SPECTROSCOPY; PLANT SEED; PREDICTION; REFERENCE VALUE; REGRESSION ANALYSIS; SCREENING;

GLUCOSINOLATES; MUSTARD PLANT; SEEDS; SPECTROSCOPY, NEAR-INFRARED;

BRASSICA; BRASSICA JUNCEA;

EID: 2542456013     PISSN: 00218561     EISSN: None     Source Type: Journal    
DOI: 10.1021/jf0307649     Document Type: Article

References (34)

1. Hashem, F. A.; Saleh, M. M. Antimicrobial components of some Cruciferae plants (Diplotaxis harra Forsk. and Erucaria microcarpa Boiss.). Phytother. Res. 1999, 13, 329-332.
2. Fahey, J. W.; Zalcmann, A. T.; Talalay, P. The chemical diversity and distribution of glucosinolates and isothiocyanates among plants. Phytochemistry 2001, 56, 5-51.
3. Rosa, E. A. S.; Heancy, R. K.; Fenwick, G. R.; Portas, C. A. M. Glucosinolates in crop plants. Hortic. Rev. 1997, 19, 99-215.
4. Sorensen, H. Glucosinolates: structure, properties, function. In Canola and Rapeseed. Production, Chemistry, Nutrition and Processing Technology; Shahidi, F., Ed.; van Nostrand Reinhold: New York, 1990; pp 149-172.
5. Downey, R. K.; Röbbelen, G. Brassica species. In Oil Crops of the World; Röbbelen, G., Downey, R. K., Ashri, A., Eds.; McGraw-Hill: New York, 1989; pp 339-362.
6. Biston, R.; Dardenne, P.; Cwikowski, M.; Marlier, M.; Severin, M.; Wathelet, J. P. Fast analysis of rapeseed glucosinolates by near infrared reflectance spectroscopy. J. Am. Oil Chem. Soc. 1988, 65, 1599-1600.
7. Michalski, K.; Krzymanski, J. Application of NIR method for screening of oilseed rape on glucosinolate content. Cruciferae Newsl. 1988, 13, 54-55.
8. Salgó, A.; Weinbrenner-Varga, Zs., Fabián, Z.; Ungár, E. Glucosinolates, determination without any wet chemical analysis. In Making Light Work: Advances in Near Infrared Spectroscopy; Murray, I., Cowe, 1. A., Eds.; VCH: Weinheim, Germany, 1992; pp 328-332.
9. Williams, P. C.; Sobering, D. C. Comparison of commercial near infrared transmittance and reflectance instruments for analysis of whole grains and seeds. J. Near Infrared Spectrosc. 1993, 1, 25-32.
10. Daun, J. K.; Clear, K. M.; Williams, P. Comparison of three whole seed near-infrared analyzers for measuring quality components of canola seed. J. Am. Oil Chem. Soc. 1994, 71, 1063-1608.
11. Michalski, K.; Kolodziej, K. Measurement of glucosinolate content in intact seeds of rapeseed with NIR reflectance spectrometry. In International Consultative Group of Rapeseed (GCIRC); GCIRC web publications, 2003; http://195.101.239.21/ GCIRCFR.html.
12. Velasco, L.; Becker, H. C. Analysis of total glucosinolate content and individual glucosinolates in Brassica spp. by near-infrared reflectance spectroscopy. Plant Breed. 1998, 117, 97-102.
13. Font, R.; Del Río, M.; Domínguez, J.; Ferná ndez-Martínez, J. M.; De Haro, A. Using of NIRS for determining glucosinolate content in Brassica juncea seed. In Proceedings of the 10th International Rapeseed Congress; Wratten, N., Salisbury, P. A., Eds.; The Regional Institute, Ltd.: Canberra, Australia, 1999.
14. Uppström, B. Seed chemistry. In Brassica Oilseeds. Production and Utilization; Kimber, D., McGregor, D. I., Eds.; CAB International: Wallingford, U.K., 1995; pp 217-242.
15. Fereres, E.; Fernández-Martínez, J. M.; Minguez, Y.; Domínguez, J. Productivity of Brassica juncea and Brassica carinata in relation to rapeseed, B. napus. I. Agronomic studies. In Proceedings of the 6th International Rapeseed Congress; International Consultative Research Group on Rapeseed (GCIRC): Paris, France, 1983; pp 293-298.
16. Soil Survey Staff. Soil Survey Manual, Handbook 18; U.S. Department of Agriculture: Washington, DC, 1951.
17. Font, R.; del Río, M.; Fernàndez-Martínez, J. M.; De Haro, A. Using near infrared spectroscopy (NIRS) for the determination of bulk density in Indian mustard seed. Cruciferae Newsl. 1999, 21, 75-76.
18. Giese, A. T.; French, C. S. The analysis of overlapping spectral absorption bands by derivative spectrophotometry. Appl. Spectrophotom. 1955, 9, 78-96.
19. Shenk, J. S.; Workman, Jr., J. J.; Westerhaus, M. O. Application of NIR spectroscopy to agricultural products. In Handbook of Near-Infrared Analysis; Bums, D. A., Ciurczak, E. W., Eds.; Dekker Inc.: New York, 1992; pp 383-431.
20. Shenk, J. S.; Westerhaus, M. O. Population structuring of near infrared spectra and modified partial least squares regression. Crop Sci. 1991, 31, 1548-1555.
21. 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.
22. Shenk, J. S.; Westerhaus, M. O. Calibration the ISI way. In Near Infrared Spectroscopy: The Future Waves; Davies, A. M. C., Williams, P. C., Eds.; Nir Publications: Chichester, U.K., 1996; pp 198-202.
23. Shenk, J. S.; Westerhaus, M. O. Population definition, sample selection, and calibration procedures for near infrared reflectance spectroscopy. Crop Sci. 1991, 31, 469-474.
24. Williams, P. C.; Sobering, D. C. How do we do it: a brief summary of the methods we use in developing near infrared calibrations. In Near Infrared Spectroscopy: The Future Waves; Davies, A. M. C., Williams, P. C., Eds.; Nir Publications: Chichester, U.K., 1996; pp 185-188.
25. Thies, W. Isolation of sinigrin and glucotropaeolin from cruciferous seeds. Fat Sci. Technol. 1988, 90, 311-314.
26. Martens, H.; Næs, T. Outlier detection. In Multivariate Calibration; Martens, H., Næs, T., Eds.; Wiley: Chichester, U.K., 1991; pp 267-295.
27. Röbbelen, G.; Thies, W. Variation in rapeseed glucosinolates and breeding for improved meal quality. In Brassica Crops and Wild Allies; Tsunoda, S., Hinata, K., Gómez-Campo, C., Eds.; Japan Scientific Societies Press: Tokyo, Japan, 1980; pp 285-299.
28. Gland, A.; Röbbelen, G.; Thies, W. Variation of alkenyl glucosinolates in seeds of Brassica species. Z Pflanzenzuechtg. 1981, 87, 96-110.
29. Josefsson, E. Variation of pattern and content of glucosinolates in seed of some cultivated Cruciferae. Z. Pflanzenzuechtg. 1972, 68, 113-123.
30. Velasco, L.; Becker, H. C. Variability for seed glucosinolates in a germplasm collection of the genus Brassica. Genet. Resour. Crop Evol. 2000, 47, 231-238.
31. Batten, G. D. Plant analysis using near infrared reflectance spectroscopy: the potential and the limitations. Aust. J. Exp. Agric. 1998, 38, 697-706.
32. Murray, I.; Williams, P. C. Chemical principles of near infrared technology. In Near-Infrared Technology in the Agricultural and Food Industries; Williams, P. C., Norris, K., Eds.; American Association of Cereal Chemists: St. Paul, MN, 1987; pp 17-34.
33. Murray, I. The NIR spectra of homologous series of organic compounds. In Proceedings of the International NIR/NIT Conference; Hollo, J., Kaffka, K. J., Gonczy, J. L., Eds.; Akademiai Kiado: Budapest, Hungary, 1986; pp 13-28.
34. Williams, P. C. Variables affecting near-infrared reflectance spectroscopy analysis. In Near-Infrared Technology in the Agricultural and Food Industries; Williams, P. C., Norris, K., Eds.; American Association of Cereal Chemists: St. Paul, MN, 1987; pp 143-167.