Hostname: page-component-8448b6f56d-sxzjt Total loading time: 0 Render date: 2024-04-18T04:08:06.263Z Has data issue: false hasContentIssue false

Application of advanced synchrotron radiation-based Fourier transform infrared (SR-FTIR) microspectroscopy to animal nutrition and feed science: a novel approach

Published online by Cambridge University Press:  09 March 2007

P. Yu*
Affiliation:
Department of Animal and Poultry Science, College of Agriculture, University of Saskatchewan, 6D34 Agriculture Building 51 Campus Drive, Saskatoon, S7N 5A8, Canada
*
*Corresponding author: Dr P. Yu, fax +1 306 966 4151, email, yupe@sask.usask.ca
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Synchrotron radiation-based Fourier transform IR (SR-FTIR) microspectroscopy has been developed as a rapid, direct, non-destructive and bioanalytical technique. This technique, taking advantage of synchrotron light brightness and a small effective source size, is capable of exploring the molecular chemistry within the microstructures of a biological tissue without the destruction of inherent structures at ultraspatial resolutions within cellular dimensions. This is in contrast to traditional ‘wet’ chemical methods, which, during processing for analysis, often result in the destruction of the intrinsic structures of feeds. To date there has been very little application of this technique to the study of feed materials in relation to animal nutrient utilisation. The present article reviews four applications of the SR-FTIR bioanalytical technique as a novel approach in animal nutrition and feed science research. Application 1 showed that using the SR-FTIR technique, intensities and the distribution of the biological components (such as lignin, protein, lipid, structural and non-structural carbohydrates and their ratios) in the microstructure of plant tissue within cellular dimensions could be imaged. The implication from this study is that we can chemically define the intrinsic feed structure and compare feed tissues according to spectroscopic characteristics, functional groups, spatial distribution and chemical intensity. Application 2 showed that the ultrastructural–chemical makeup and density of yellow- and brown-seeded Brassica rape could be explored. This structural–chemical information could be used for the prediction of rapeseed quality and nutritive value for man and animals and for rapeseed breeding programmes for selecting superior varieties for special purposes. More research is required to define the extent of differences that exist between the yellow- and brown-seeded Brassica rape. Application 3 showed with the SR-FTIR technique that chemical differences in the ultrastructural matrix of endosperm tissue between Harrington (malting-type) and Valier (feed-type) barley in relation to rumen degradation characteristics could be identified. The results indicated that the greater association of the protein matrix with the starch granules in the endosperm tissue of Valier barley may limit the access of ruminal micro-organisms to the starch granules and thus reduce the rate and extent of rumen degradation relative to that of Harrington barley. It is the first time that the microstructural matrix in the endosperm of barley has been revealed by using the SR-FTIR technique, which makes it possible to link feed intrinsic structures to nutrient utilisation and digestive behaviour in ruminants. Application 4 showed with the SR-FTIR technique that the chemical features of various feed protein (amide I) secondary structures (such as feather, wheat, oats and barley) could be quantified. With a multi-component fitting program (Lorentz function), the results showed feather containing about 88% β-sheet and 4% α-helix, barley containing about 17% β-sheet and 71% α-helix; oats containing about 2% β-sheet and 92% α-helix; and wheat containing about 42% β-sheet and 50% α-helix. The relative percentage of the two may influence protein value. A high percentage of β-sheet may reduce the access of gastrointestinal digestive enzymes to the protein structure. Further study is required on feed protein secondary structures in relation to enzyme accessibility and digestibility. In conclusion, the SR-FTIR technique can be used for feed science and animal nutrition research. However, the main disadvantage of this technique is the requirement for a special light source; a synchrotron beam.

Type
Horizons in Nutritional Science
Copyright
Copyright © The Nutrition Society 2004

References

Bonetta, DT, Facette, M, Raab, TK & Somerville, CR (2002) Genetic dissection of plant cell-wall biosynthesis. Biochem Soc Trans 30, 298301.CrossRefGoogle ScholarPubMed
Bowman, JGP, Blake, TK, Surber, LMM, Habernicht, DK, Daniels, TK & Daniels, JT (2001) Genetic factors controlling digestibility of barley for ruminants. In Proceedings of the Western Section, American Society of Animal Science. Accessed June 2001. http://hordeum.oscs.montana.edu/cowdocs/cow596.htmGoogle Scholar
Budevska, BO (2002) Vibrational Spectroscopy Imaging of Agricultural Products. In Handbook of Vibrational Spectroscopy, Vol. 5. Applications of Vibrational Spectroscopy in Life, Pharmaceutical and Natural Sciences 37203732 [Chalmers, JM and Griffiths, PR, editors]. New York: John Wiley and Sons, Inc.Google Scholar
Carey, FA (1996) Organic Chemistry, 3rd ed. New York: McGraw-Hill Companies, Inc.Google Scholar
Cytospec (2004) Software for infrared spectral imaging, version 1.1.01. Croton-on-Hudson, NY: Cytospec Inc.Google Scholar
Dumas, P (2003) Synchrotron IR microspectroscopy: A multidisciplinary analytical technique. In The 6th Annual Synchrotron CLS Users' Meeting and Associated Synchrotron Workshops – WinXAS and Infrared. Saskatoon, SK, Canada Canadian Light Source Inc. at University of Saskatchewan University of Saskatchewan, Canada, 1315 November 2003. Saskatoon, SK, Canada: Canadian Light Source Inc. at University of Saskatchewan.Google Scholar
Gibson, LA, Bowman, JGP, Oberthur, LE & Blake, TK (1994) Determination of genetic markers associated with ruminant digestion of barley. Proc West Sect Am Soc Anim Sci 45, 317320.Google Scholar
Givens, DI, Clark, P, Jacklin, D, Moss, AR & Savery, CR (1993) Nutritional aspect of cereal, cereal grain by-products and cereal straw for ruminants. HGCA Research Review, Vol.24. pp. 1180London: Home-grown Cereal Authority.Google Scholar
Hergert, HL (1971) Infrared Spectra, Lignins: Occurrence, Formation, Structure and Reactions [Sarkanen, KV and Ludwig, CH, editors]. New York: Wiley-Interscience.Google Scholar
Himmelsbach, DS, Khalili, S & Akin, DE (1998) FT-IR microspectroscopic imaging of flax ( Linum usitatissimum L.) stems. Cell Mol Biol (Noisy-le-grand) 44, 99108.Google ScholarPubMed
Holman Hoi-Ying, N, Bjornstad, KA, McNamara, MP, Martin, MC, McKinney, WR & Blakely, EA (2002) Synchrotron infrared spectromicroscopy as a novel bioanalytical microprobe for individual living cells: cytotoxicity considerations. J Biomed Opt 7, 110.Google ScholarPubMed
Jackson, M & Mantsch, HH (1996) Biomedical infrared spectroscopy. In Infrared Spectroscopy of Biomolecules pp. 311340 [Mantsch, HH and Chapman, D, editors]. New York: Wiley-Liss.Google Scholar
Joe, LW & Roth, CB (1986) Infrared spectrometry. In Method of Soil Analysis, part 1–Physical and Mineralogical Methods. Agronomy Monograph no.9, 2nd ed., pp. 291330 [Klute, A, editors]. Madison, WI: American Society of Agronomy and Soil Science Society of America.Google Scholar
Kemp, W (1991) Organic Spectroscopy, 3rd ed. New York: W.H. Freeman and Company.CrossRefGoogle Scholar
McAllister, TA, Phillippe, RC, Rode, LM & Cheng, KJ (1993) Effect of the protein matrix on the digestion of cereal grains by ruminal microorganisms. J Anim Sci 71, 205212.CrossRefGoogle ScholarPubMed
Mantsch, HH & Chapman, D (1996) Infrared Spectroscopy of Biomolecules. New York: Wiley-Liss.Google Scholar
Marinkovic, NS, Huang, R & Bromberg, P, et al. (2002) Center for Synchrotron Biosciences' U2B beamline: an international resource for biological infrared spectroscopy. J Synchrotron Rad 9, 189197.CrossRefGoogle ScholarPubMed
Marten, GC (1989) Current application of NIRS technology in forage research. In NIRS Analysis of Forage Quality. USDA, ARS, Agricultural Handbook no.643, pp. 4548Washington, DC: United States Department of Agriculture.Google Scholar
Martin, MC (2002) Fourier-Tranform Infrared Spectroscopy. http://spectroscopy.lbl.gov/FTIR-Martin/.Google Scholar
Mathlouthi, M & Koenig, JL (1986) Vibrational spectra of carbohydrates. Adv Carbohydr Chem Biochem 44, 789.CrossRefGoogle ScholarPubMed
Miller, LM, Carlson, CS, Carr, GL & Chance, MR (1998) A method for examining the chemical basis for bone disease: synchrotron infrared microspectroscopy. Cell Mol Biol (Noisy-le-grand) 44, 117127.Google ScholarPubMed
Miller, LM, Carr, G, Jackson, M, Williams, G & Dumas, P (2000) The impact of infrared synchrotron radiation on biology: past, present, and future. Synch Rad News 13, 3137.CrossRefGoogle Scholar
Nocek, JE & Tamminga, S (1991) Site of digestion of starch in the gastrointestinal tract of dairy cows and its effect on milk yield and composition. J Dairy Sci 74, 35983629.CrossRefGoogle ScholarPubMed
Norris, KH (1988) History, present status, and future prospects for NIRS. In Analytical Application of Spectroscopy, pp. 17 [Creaser, CS and Davies, AMC, editors]. London: Royal Society of Chemistry.Google Scholar
Norris, KH (1989) Definition of NIRS analysis. In NIRS Analysis of Forage Quality. USDA, ARS, Agricultural Handbook no.643, pp.6Washington, DC: United States Department of Agriculture.Google Scholar
Norris, KH & Barness, RF (1976) Infrared reflectance analysis of nutritive value of feedstuffs. In Feed Composition, Animal Nutrient Requirements and Computerization of Diets, Proceedings of the 1st International Symposium, pp.237241 [Fonnesbeck, PV, Harris, LE and Kearl, LC, editors]. Logan, UT: Utah State University.Google Scholar
Raab, TK & Martin, MC (2001) Visualizing rhizosphere chemistry of legumes with mid-infrared synchrotron radiation. Planta 213, 881887.CrossRefGoogle ScholarPubMed
SAS Institute, Inc. (1998) User's Guide: Statistics, 8th ed. Cary, NC: SAS Institute, Inc.Google Scholar
Simbaya, J, Slominski, BA, Rakow, G, Campbell, LD, Downey, RK & Bell, JM (1995) Quality characteristics of yellow-seeded Brassica seed meals: protein, carbohydrates and dietary fiber components. J Agric Food Chem 43, 20622066.CrossRefGoogle Scholar
Slominski, BA, Campbell, LD & Guenter, W (1994) Carbohydrates and dietary fiber components of yellow and brown-seeded canola. J Agric Food Chem 42, 704707.CrossRefGoogle Scholar
Stewart, D, McDougall, GJ & Baty, A (1995) Fourier transform infrared microspectroscopy of anatomically different cells of flax ( Linum usitatissimum ) stems during development. J Agric Food Chem 43, 18531858.CrossRefGoogle Scholar
Stringam, GD, McGregor, DI & Pawlowski, SH (1974) Chemical and morphological characteristics associated with seed coat color in rapeseed. In Proceedings of the 4th International Rapeseed Congress, Giessen: Germany, 99108.Google Scholar
Synchrotron facts (2004) http://www.cls.usask.ca/education/whatis.php. Accessed October 2004.Google Scholar
Vogel, JP, Raab, TK, Schiff, C & Somerville, SC (2002) PMR6, a pectate lyase–like gene required for powdery mildew susceptibility in Arabidopsis. Plant Cell 14, 20952106.CrossRefGoogle ScholarPubMed
Wang, Y & & McAllister, TA (2000) Grain processing for ruminants: latest technologies. In Proceedings of the Twenty-First Western Nutrition Conference,Winnipeg, Manitoba,28–29 September.Google Scholar
Wetzel, DL (2001) When molecular causes of wheat quality are known, molecular methods will supersede traditional methods. In Proceedings of the International Wheat Quality Conference II,Manhattan, KS,May 2001, pp. 120.Google Scholar
Wetzel, DL, Eilert, AJ, Pietrzak, LN, Miller, SS & Sweat, JA (1998) Ultraspatially resolved synchrotron infrared microspectroscopy of plant tissue in situ. Cell Mol Biol (Noisy-le-grand) 44, 145167.Google ScholarPubMed
Wetzel, DL & LeVine, SM (1999) Imaging molecular chemistry with infrared microscopy. Science 285, 12241225.CrossRefGoogle ScholarPubMed
Yu, P, Christensen, CR, Christensen, DA & McKinnon, JJ (2004a) Ultrastructural-chemical makeup of yellow- and brown-seeded Brassica canola within cellular dimensions, explored with synchrotron reflection FTIR microspectroscopy Can J Plant Sci (In the Press).Google Scholar
Yu, P, Christensen, DA, Christensen, CR, Drew, MD, Rossnagel, BG & McKinnon, JJ (2004b) Use of synchrotron Fourier transform infrared microspectroscopy to identify chemical differences in barley endosperm tissue in relation to rumen degradation characteristics Can J Anim Sci 84 (3) 523527.CrossRefGoogle Scholar
Yu, P, Christensen, DA & McKinnon, JJ (2003 a) Comparison of the National Research Council-2001 model with the Dutch system (DVE/OEB) in the prediction of nutrient supply to dairy cows from forages. J Dairy Sci 86, 21782192.CrossRefGoogle ScholarPubMed
Yu, P, McKinnon, JJ, Christensen, CR & & Christensen, DA (2003 b) Mapping plant composition with synchrotron infrared microspectroscopy and relation to animal nutrient utilization (invited article and conference speech). In Proceedings of the Canadian Society of Animal Science Annual Conference, Saskatoon, SK, Canada, 10–13 June, pp. 120. Saskatchewan, Canada: Canadian Society of Animal Science.Google Scholar
Yu, P, McKinnon, JJ, Christensen, CR & Christensen, DA (2004 c) Using synchrotron transmission FTIR microspectroscopy as a rapid, direct and non-destructive analytical technique to reveal molecular microstructural-chemical features within tissue in grain barley. J Agric Food Chem 52, 14841494.CrossRefGoogle Scholar
Yu, P, McKinnon, JJ, Christensen, CR & Christensen, DA (2004 d) Imaging molecular chemistry of Pioneer corn J Agric Food Chem (In the Press).CrossRefGoogle ScholarPubMed
Yu, P, McKinnon, JJ, Christensen, CR & Christensen, DA (2004e) Using synchrotron FTIR microspectroscopy to reveal chemical features of father protein secondary structure, comparison with other feed protein sources J Agric Food Chem (In the Press).CrossRefGoogle Scholar
Yu, P, McKinnon, JJ, Christensen, CR, Christensen, DA, Marinkovic, NS & Miller, LM (2003 c) Chemical imaging of micro-structures of plant tissues within cellular dimension using synchrotron infrared microspectroscopy. J Agric Food Chem 51, 60626067.CrossRefGoogle Scholar
Yu, P, Meier, J, Christensen, DA, Rossnagel, BG & McKinnon, JJ (2003 d) Using the NRC-2001 model and the DVE/OEB system to evaluate nutritive values of Harrington (malting-type) and Valier (feed-type) barley for ruminants. Anim Feed Sci Technol 107, 4560.CrossRefGoogle Scholar