Food Analysis pp 407-420 | Cite as

Infrared Spectroscopy

  • Randy L. Wehling
Part of the Food Analysis book series (FSTS)


Infrared (IR) spectroscopy refers to measurement of the absorption of different frequencies of IR radiation by foods or other solids, liquids, or gases. IR spectroscopy began in 1800 with an experiment by Herschel. When he used a prism to create a spectrum from white light and placed a thermometer at a point just beyond the red region of the spectrum, he noted an increase in temperature. This was the first observation of the effects of IR radiation. By the 1940s, IR spectroscopy had become an important tool used by chemists to identify functional groups in organic compounds. In the 1970s, commercial near-IR reflectance instruments were introduced that provided rapid quantitative determinations of moisture, protein, and fat in cereal grains and other foods. Today, IR spectroscopy is used widely in the food industry for both qualitative and quantitative analysis of ingredients and finished foods.


Partial Little Square Principal Component Regression Optical Path Difference Halide Salt Diffuse Reflection Measurement 
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  1. 1.
    AOAC International (2007) Official methods of analysis, 18th edn., 2005; Current through revision 2, 2007 (On-line). AOAC International, Gaithersburg, MDGoogle Scholar
  2. 2.
    Lahner BS (1996) Evaluation of Aegys MI 600 Fourier transform infrared milk analyzer for analysis of fat, protein, lactose, and solids nonfat: A compilation of eight independent studies. J AOAC Int 79:1388Google Scholar
  3. 3.
    van de Voort FR, Ismail AA, Sedman J (1995) A rapid, automated method for the determination of cis and trans content of fats and oils by Fourier transform infrared spectroscopy. J Am Oil Chem’ Soc 72:873CrossRefGoogle Scholar
  4. 4.
    Gurdeniz G, Toklati F, Ozen B (2007) Differentiation of mixtures of monovarietal olive oils by mid-infrared spectroscopy and chemometrics. Eur J Lipid Sci Technol 109:1194–1202CrossRefGoogle Scholar
  5. 5.
    An introduction to Raman for the infrared spectroscopist. Inphotonics Technical Note No. 11, Norwood, MA (
  6. 6.
    Thygesen LG, Lokke MM, Micklander E, Engelsen SB (2003) Vibrational microspectroscopy of food. Raman vs. FT-IR. Trends Food Sci Technol 14:50–57CrossRefGoogle Scholar
  7. 7.
    Martens H, Naes T (2001) Multivariate calibration by data compression. Ch. 4, In: Williams PC, Norris KH (eds) Near infrared technology in the agricultural and food industries, 2nd edn. American Association of Cereal Chemists, St. Paul, MN, p 75Google Scholar
  8. 8.
    Martens H, Naes T (2001) Multivariate calibration by data compression. Ch. 4, In: Williams PC, Norris KH (eds) Near infrared technology in the agricultural and food industries, 2nd edn. American Association of Cereal Chemists, St. Paul, MN, pp 59–100Google Scholar
  9. 9.
    Delwiche SR, Chen YR, Hruschka WR (1995) Differentiation of hard red wheat by near-infrared analysis of bulk samples. Cereal Chem 72:243Google Scholar
  10. 10.
    Evans DG, Scotter CN, Day LZ, Hall MN (1993) Determination of the authenticity of orange juice by discriminant analysis of near infrared spectra. A study of pretreatment and transformation of spectral data. J Near Infrared Spectrosc 1:33CrossRefGoogle Scholar
  11. 11.
    Bertran E, Blanco M, Coello J, Iturriaga H, Maspoch S, Montoliu I (2000) Near infrared spectrometry and pattern recognition as screening methods for the authentication of virgin olive oils of very close geographical origins. J Near Infrared Spectrosc 8:45CrossRefGoogle Scholar
  12. 12.
    Alomar D, Gallo C, Castaneda M, Fuchslocher R (2003) Chemical and discriminant analysis of bovine meat by near infrared reflectance spectroscopy (NIRS). Meat Sci 63:441CrossRefGoogle Scholar
  13. 13.
    Osborne BG, Fearn T, Hindle PH (1993) Practical NIR spectroscopy with application in food and beverage analysis. Longman, Essex, UKGoogle Scholar
  14. 14.
    Williams PC, Norris KH (eds) (2001) Near-infrared technology in the agricultural and food industries, 2nd edn. American Association of Cereal Chemists, St. Paul, MNGoogle Scholar
  15. 15.
    Ozaki Y, McClure WF, Christy AA (2006) Near-infrared spectroscopy in food science and technology. Wiley, Hoboken, NJCrossRefGoogle Scholar
  16. 16.
    Woodcock T, Downey G, O’Donnel CP (2008) Review: better quality food and beverages: the role of near infrared spectroscopy. J Near Infrared Spectrosc 16:1CrossRefGoogle Scholar
  17. 17.
    AACC International (2010) Approved methods of analysis, 11th edn (On-line). The American Association of Cereal Chemists, St. Paul, MNGoogle Scholar
  18. 18.
    Kays SE, Windham WR, Barton FE (1998) Prediction of total dietary fiber by near-infrared reflectance spectroscopy in high-fat and high-sugar-containing cereal products. J Agric Food Chem 46:854CrossRefGoogle Scholar
  19. 19.
    Kays SE, Barton FE (2002) Near-infrared analysis of soluble and insoluble dietary fiber fractions of cereal food products. J Agric Food Chem 50:3024CrossRefGoogle Scholar
  20. 20.
    Kays WE, Barton FE, Windham WR (2000) Predicting protein content by near infrared reflectance spectroscopy in diverse cereal food products. J Near Infrared Spectrosc 8:35CrossRefGoogle Scholar
  21. 21.
    Oh EK, Grossklaus D (1995) Measurement of the components in meat patties by near infrared reflectance spectroscopy. Meat Sci 41:157CrossRefGoogle Scholar
  22. 22.
    Geesink GH, Schreutelkamp FH, Frankhuizen R, Vedder HW, Faber NM, Kranen RW, Gerritzen MA (2003) Prediction of pork quality attributes from near infrared reflectance spectra. Meat Sci 65:661CrossRefGoogle Scholar
  23. 23.
    Naganathan GK, Grimes LM, Subbiah J, Calkins CR, Samal A, Meyer G (2008) Visible/near-infrared hyperspectral imaging for beef tenderness prediction. Comput Electron Agric 64:225CrossRefGoogle Scholar
  24. 24.
    Windham WR, Lawrence KC, Feldner PW (2003) Prediction of fat content in poultry meat by near-infrared transmission analysis. J Appl Poult Res 12:69CrossRefGoogle Scholar
  25. 25.
    Solberg C, Fredriksen G (2001) Analysis of fat and dry matter in capelin by near infrared transmission spectroscopy. J Near Infrared Spectrosc 9:221CrossRefGoogle Scholar
  26. 26.
    Isakkson T, Nærbo G, Rukke EO (2001) In-line determination of moisture in margarine, using near infrared diffuse transmittance. J Near Infrared Spectrosc 9:11CrossRefGoogle Scholar
  27. 27.
    Pierce MM, Wehling RL (1994) Comparison of sample handling and data treatment methods for determining moisture and fat in Cheddar cheese by near-infrared spectroscopy. J Agri Food Chem 42:2830CrossRefGoogle Scholar
  28. 28.
    Rodriquez-Otero JL, Hermida M, Cepeda A (1995) Determination of fat, protein, and total solids in cheese by near infrared reflectance spectroscopy. J AOAC Int 78:802Google Scholar
  29. 29.
    Wu D, He Y, Feng S (2008) Short-wave near-infrared spectroscopy analysis of major compounds in milk powder and wavelength assignment. Anal Chim Acta 610:232CrossRefGoogle Scholar
  30. 30.
    Tarkosova J, Copikova J (2000) Determination of carbohydrate content in bananas during ripening and storage by near infrared spectroscopy. J Near Infrared Spectrosc 8:21CrossRefGoogle Scholar
  31. 31.
    Segtman VH, Isakkson T (2000) Evaluating near infrared techniques for quantitative analysis of carbohydrates in fruit juice model systems. J Near Infrared Spectrosc 8:109CrossRefGoogle Scholar
  32. 32.
    Camps C Christen D (2009) Non-destructive assessment of apricot fruit quality by portable visible-near infrared spectroscopy. LWT – Food Sci Technol 42:1125Google Scholar
  33. 33.
    Psotka J, Shadow W (1994) NIR analysis in the wet corn refining industry – A technology review of methods in use. Int Sugar J 96:358Google Scholar
  34. 34.
    Tarkosova J, Copikova J (2000) Fourier transform near infrared spectroscopy applied to analysis of chocolate. J Near Infrared Spectrosc 8:251CrossRefGoogle Scholar
  35. 35.
    Villareal CP, De la Cruz NM, Juliano BO (1994) Rice amylose analysis by near-infrared transmittance spectroscopy. Cereal Chem 71:292Google Scholar
  36. 36.
    Delwiche SR, Bean MM, Miller RE, Webb BD, Williams PC (1995) Apparent amylose content of milled rice by near-infrared reflectance spectrophotometry. Cereal Chem 72:182Google Scholar
  37. 37.
    Yildiz G, Wehling RL, Cuppett SL (2001) Method for determining oxidation of vegetable oils by near-infrared spectroscopy. J Am Oil Chem Soc 78:495CrossRefGoogle Scholar
  38. 38.
    Ng CL, Wehling RL, Cuppett SL (2007) Method for determining frying oil degradation by near-infrared spectroscopy. J Agric Food Chem 55:593CrossRefGoogle Scholar
  39. 39.
    Wehling RL, Jackson DS, Hooper DG, Ghaedian AR (1993) Prediction of wet-milling starch yield from corn by near-infrared spectroscopy. Cereal Chem 70:720Google Scholar
  40. 40.
    Paulsen MR, Singh M (2004) Calibration of a near-infrared transmission grain analyzer for extractable starch in maize. Biosyst Eng 89:79CrossRefGoogle Scholar
  41. 41.
    Psotka J (2001) Challenges of making accurate on-line near-infrared measurements. Cereal Foods World 46:568Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.Department of Food Science and TechnologyUniversity of NebraskaLincolnUSA

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