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Near‐Infrared Spectroscopy in Food Analysis
Abstract
Near‐infrared (NIR) spectroscopy is based on the absorption of electromagnetic radiation at wavelengths in the range 780–2500 nm. NIR spectra of foods comprise broad bands arising from overlapping absorptions corresponding mainly to overtones and combinations of vibrational modes involving CH, OH and NH chemical bonds. The concentrations of constituents such as water, protein, fat and carbohydrate can in principle be determined using classical absorption spectroscopy. However, for most food samples, this chemical information is obscured by changes in the spectra caused by physical properties such as the particle size of powders. This means that NIR spectroscopy becomes a secondary method requiring calibration against a reference method for the constituent of interest. As a consequence of the physics of diffuse transmittance and reflectance and the complexity of the spectra, calibration is normally carried out using multivariate mathematics (chemometrics). NIR spectroscopy is used routinely for the compositional, functional and sensory analysis of food ingredients, process intermediates and final products. The major advantage of NIR is that usually no sample preparation is necessary, hence the analysis is very simple and very fast (between 15 and 90 s) and can be carried out on‐line. One of the strengths of NIR technology is that it allows several constituents to be measured concurrently. In addition, for each fundamental vibration there exists a corresponding series of overtone and combination bands with each successive overtone band approximately an order of magnitude less intense than the preceding one. This provides a built‐in dilution series which allows several choices of absorptions of different intensity containing the same chemical information. Finally, the relatively weak absorption due to water enables high‐moisture foods to be analyzed. The major limitation of NIR spectroscopy in food analysis is its dependence on less‐precise reference methods.
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Citations
Cited by
Infrared Spectroscopy: Fundamentals and Applications
Stuart, B. H. (2004) · Analytical Techniques in the Sciences · doi:10.1002/0470011149 · Cited by 4,427
Near infrared spectroscopy for on/in-line monitoring of quality in foods and beverages: A review
Huang, H., Yu, H., Xu, H., & Ying, Y. (2008) · Journal of Food Engineering · doi:10.1016/j.jfoodeng.2007.12.022 · Cited by 560
Enhancing the mineral and vitamin content of wheat and maize through plant breeding
Ortiz-Monasterio, J. I., Palacios-Rojas, N., Meng, E., Pixley, K., Trethowan, R., & Peña, R. J. (2007) · Journal of Cereal Science · doi:10.1016/j.jcs.2007.06.005 · Cited by 494
Chauchard, F., Cogdill, R., Roussel, S., Roger, J. M., & Bellon-Maurel, V. (2004) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/j.chemolab.2004.01.003 · Cited by 375
FT-IR and FT-Raman Fingerprints of Flavonoids—A Review
Krysa, M., Szymańska-Chargot, M., & Zdunek, A. (2022) · Food Chemistry · doi:10.1016/j.foodchem.2022.133430 · Cited by 305
Metadata
- Authors
- Osborne, B. G.
- Venue
- Encyclopedia of Analytical Chemistry
- Publisher
- Wiley
- Published
- 2000-10-30
- OpenAlex
- W2128876434
- Cited by
- 976
- References
- 0
- Type
- reference entry
- Language
- en
- Open access
- closed
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