American Journal of Food Science and Technology
ISSN (Print): 2333-4827 ISSN (Online): 2333-4835 Website: http://www.sciepub.com/journal/ajfst Editor-in-chief: Hyo Choi
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American Journal of Food Science and Technology. 2013, 1(1), 1-8
DOI: 10.12691/ajfst-1-1-1
Open AccessReview Article

Review on the Potential Use of Near Infrared Spectroscopy (NIRS) for the Measurement of Chemical Residues in Food

Ernest Teye1, 2, , Xing-yi Huang1 and Newlove Afoakwa3

1School of Food and Biological Engineering, Jiangsu University, Jiangsu, P. R. China

2School of Agriculture, Department of Agricultural Engineering, University of Cape Coast, Cape Coast, Ghana

3School of Applied Science and Arts, Bolgatanga Polytechnic, Sumbrungu, Upper East Region, Ghana

Pub. Date: May 01, 2013

Cite this paper:
Ernest Teye, Xing-yi Huang and Newlove Afoakwa. Review on the Potential Use of Near Infrared Spectroscopy (NIRS) for the Measurement of Chemical Residues in Food. American Journal of Food Science and Technology. 2013; 1(1):1-8. doi: 10.12691/ajfst-1-1-1

Abstract

Near infrared spectroscopy (NIRS) technique as an advance innovative technology has come to stay in food, chemical, pharmaceutical, petrochemical industries. This technology coupled with the development of chemometric techniques has become a powerful, fast, reliable and non-destructive analytical tool for the measurement of qualitative and quantitative properties in organic materials. This review paper focuses on the potential application of NIRS as an advance analytical tool for the determination of harmful chemical residues in food materials. The results of rich studies conducted previously revealed that the application of NIRS technique was successful in detecting and to some extent measure harmful chemical residues such as Agro-chemicals and Mycotoxins in foods. It was however observed that, NIR spectroscopy had poor sensitivity in quantifying chemical residues in food materials. It can therefore be concluded that there is the need to work towards the advancement of this tool for accurate measurement of chemical residues in food. This tool has a far reaching merit as an initial tool for detecting and sorting of food product with and without harmful chemical residues. NIRS advance analytical tool was found to be quick, non-destructive & semi-destructive, low cost and environmentally friendly in relation to the reference antecedent methods such as HPLC, HTLC, GC-MS and ELISA in the classification of food commodities with and without harmful chemical residue.

Keywords:
non-destructive chemical residue NIRS agro-chemicals mycotoxins

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References:

[1]  Ozaki, Y., W.F. McClure, and A.A. Christy, Near-infrared spectroscopy in food science and technology2006: Wiley-Interscience.
 
[2]  Tripathi, S. and H. Mishra, A rapid FT-NIR method for estimation of aflatoxin B1 in red chili powder. Food Control, 2009. 20(9): p. 840-846.
 
[3]  Roggo, Y., et al., A review of near infrared spectroscopy and chemometrics in pharmaceutical technologies. Journal of pharmaceutical and biomedical analysis, 2007. 44(3): p. 683-700.
 
[4]  Pettersson, H. and L. Åberg, Near infrared spectroscopy for determination of mycotoxins in cereals. Food Control, 2003. 14(4): p. 229-232.
 
[5]  Chen, Q., et al., Comparisons of different regressions tools in measurement of antioxidant activity in green tea using near infrared spectroscopy. Journal of pharmaceutical and biomedical analysis, 2012. 60(0): p. 92-97.
 
[6]  Cassoli, L.D., B. Sartori, and P.F. Machado, The use of the Fourier Transform Infrared spectroscopy to determine adulterants in raw milk. Revista Brasileira de Zootecnia, 2011. 40(11): p. 2591-2596.
 
[7]  Leggieri, M.C., et al., Detection and discrimination between ochratoxin producer and non-producer strains of Penicillium nordicum on a ham-based medium using an electronic nose. Mycotoxin research, 2011. 27(1): p. 29-35.
 
[8]  Blanco, M., M. Alcala, and M. Bautista, Pharmaceutical gel analysis by NIR spectroscopy: Determination of the active principle and low concentration of preservatives. European Journal of Pharmaceutical Sciences, 2008. 33(4): p. 409-414.
 
[9]  Berardo, N., et al., Rapid detection of kernel rots and mycotoxins in maize by near-infrared reflectance spectroscopy. Journal of Agricultural and Food Chemistry, 2005. 53(21): p. 8128-8134.
 
[10]  Govaris, A., N. Solomakos, and N. Pexara, Ochratoxin A in foods of animal origin. Journal of Hell Vet. Med. Soc, 2007. 58: p. 313-320.
 
[11]  Toldrá, F. and M. Reig, Methods for rapid detection of chemical and veterinary drug residues in animal foods. Trends in Food Science & Technology, 2006. 17(9): p. 482-489.
 
[12]  Bai, S., et al., Noninvasive determination of protein conformation in the solid state using near infrared (NIR) spectroscopy. Journal of pharmaceutical sciences, 2005. 94(9): p. 2030-2038.
 
[13]  Wang, S., et al., Current status and management of chemical residues in food and ingredients in China. Trends in Food Science & Technology, 2009. 20(9): p. 425-434.
 
[14]  Sivakesava, S. and J. Irudayaraj, Rapid determination of tetracycline in milk by FT-MIR and FT-NIR spectroscopy. Journal of dairy science, 2002. 85(3): p. 487-493.
 
[15]  Dračková, M., et al., Determination Residues of Penicillin G and Cloxacillin in Raw Cow Milk Using Fourier Transform Near Infrared Spectroscopy. Acta Veterinaria Brno, 2009. 78(4): p. 685-690.
 
[16]  Pareja, L., et al., Analytical methods for pesticide residues in rice. TrAC Trends in Analytical Chemistry, 2011. 30(2): p. 270-291.
 
[17]  Lattanzio, V.M.T., et al., Simultaneous determination of aflatoxins, ochratoxin A and Fusarium toxins in maize by liquid chromatography/tandem mass spectrometry after multitoxin immunoaffinity cleanup. Rapid Communications in Mass Spectrometry, 2007. 21(20): p. 3253-3261.
 
[18]  Jalili, M. and S. Jinap, Natural occurrence of aflatoxins and ochratoxin A in commercial dried chili. Food Control, 2011.
 
[19]  Fernández-Ibañez, V., et al., Application of near infrared spectroscopy for rapid detection of aflatoxin B1 in maize and barley as analytical quality assessment. Food Chemistry, 2009. 113(2): p. 629-634.
 
[20]  Binder, E.M., Managing the risk of mycotoxins in modern feed production. Animal feed science and technology, 2007. 133(1): p. 149-166.
 
[21]  Hernández-Hierro, J., R. García-Villanova, and I. González-Martín, Potential of near infrared spectroscopy for the analysis of mycotoxins applied to naturally contaminated red paprika found in the Spanish market. Analytica chimica acta, 2008. 622(1): p. 189-194.
 
[22]  Duarte, S., A. Pena, and C. Lino, A review on ochratoxin A occurrence and effects of processing of cereal and cereal derived food products. Food microbiology, 2010. 27(2): p. 187-198.
 
[23]  JECFA, Safety evaluation of certain mycotoxins in food. WHO Food Additives Series 47; FAO Food and Nutrition paper 74, (Joint FAO/WHO Expert Committee on Food Additives) 2001.
 
[24]  Blesa, J., et al., Rapid determination of ochratoxin A in cereals and cereal products by liquid chromatography. Journal of Chromatography A, 2004. 1046(1): p. 127-131.
 
[25]  Jun, H., Report on food safety in China. Beijing. Social Sciences Academic Press (China), 2007.
 
[26]  Reig, M. and F. Toldrá, Veterinary drug residues in meat: Concerns and rapid methods for detection. Meat science, 2008. 78(1): p. 60-67.
 
[27]  Barbosa, J., et al., Food poisoning by clenbuterol in Portugal. Food additives and Contaminants, 2005. 22(6): p. 563-566.
 
[28]  EFSA, Opinion of the scientific panel on contaminants in the food chain on a request from the European Commission related hormone residue in bovine meat and meat products. The EFSA Journal, (European Food Safety Authority) 2007. 510: p. 1-62.
 
[29]  Davies, A.M.C., William Herschel and the discovery of near infrared. 2000.
 
[30]  Nicolaï, B.M., et al., Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review. Postharvest Biology and Technology, 2007. 46(2): p. 99-118.
 
[31]  Norris, K.H., Simple spectroradiometer for 0.4-1.2 micron region. Trans. ASAE 1964. 7: p. 240-242.
 
[32]  Lin, H., et al., Determination of free amino acid content in Radix Pseudostellariae using near infrared (NIR) spectroscopy and different multivariate calibrations. Journal of pharmaceutical and biomedical analysis, 2009. 50(5): p. 803-808.
 
[33]  Cen, H. and Y. He, Theory and application of near infrared reflectance spectroscopy in determination of food quality. Trends in Food Science & Technology, 2007. 18(2): p. 72-83.
 
[34]  Alishahi, A., et al., Identification of transgenic foods using NIR spectroscopy: a review. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2010. 75(1): p. 1-7.
 
[35]  Downey, G., P. McIntyre, and A.N. Davies, Detecting and quantifying sunflower oil adulteration in extra virgin olive oils from the Eastern Mediterranean by visible and near-infrared spectroscopy. Journal of Agricultural and Food Chemistry, 2002. 50(20): p. 5520-5525.
 
[36]  Clark, C., et al., Dry matter determination in ‘Hass’ avocado by NIR spectroscopy. Postharvest Biology and Technology, 2003. 29(3): p. 301-308.
 
[37]  Alomar, D., et al., Chemical and discriminant analysis of bovine meat by near infrared reflectance spectroscopy (NIRS). Meat science, 2003. 63(4): p. 441-450.
 
[38]  Geesink, G., et al., Prediction of pork quality attributes from near infrared reflectance spectra. Meat science, 2003. 65(1): p. 661-668.
 
[39]  Prevolnik, M., et al., Predicting intramuscular fat content in pork and beef by near infrared spectroscopy. Journal of Near Infrared Spectroscopy, 2005. 13(2): p. 77-85.
 
[40]  Savenije, B., et al., Prediction of pork quality using visible/near-infrared reflectance spectroscopy. Meat science, 2006. 73(1): p. 181-184.
 
[41]  Mehinagic, E., et al., Prediction of the sensory quality of apples by physical measurements. Postharvest Biology and Technology, 2004. 34(3): p. 257-269.
 
[42]  Chen, Q., et al., Feasibility study on qualitative and quantitative analysis in tea by near infrared spectroscopy with multivariate calibration. Analytica Chimica Acta, 2006. 572(1): p. 77-84.
 
[43]  Golic, M. and K.B. Walsh, Robustness of calibration models based on near infrared spectroscopy for the in-line grading of stonefruit for total soluble solids content. Analytica chimica acta, 2006. 555(2): p. 286-291.
 
[44]  Cai, J., et al., Determination of total volatile basic nitrogen (TVB-N) content and Warner–Bratzler shear force (WBSF) in pork using Fourier transform near infrared (FT-NIR) spectroscopy. Food Chemistry, 2011. 126(3): p. 1354-1360.
 
[45]  Chen, Q., et al., Simultaneous analysis of main catechins contents in green tea (< i> Camellia sinensis</i>(L.)) by Fourier transform near infrared reflectance (FT-NIR) spectroscopy. Food Chemistry, 2009. 113(4): p. 1272-1277.
 
[46]  Duan, J., et al., Determination of 27 chemical constituents in Chinese southwest tobacco by FT-NIR spectroscopy. Industrial Crops and Products, 2012. 40: p. 21-26.
 
[47]  Sánchez, M.T., et al., Measurement of pesticide residues in peppers by nearinfrared reflectance spectroscopy. Pest Management Science, 2010. 66(6): p. 580-586.
 
[48]  Saranwong, S. and S. Kawano, The reliability of pesticide determinations using near infrared spectroscopy and the dry-extract system for infrared (DESIR) technique. Journal of Near Infrared Spectroscopy, 2007. 15: p. 227.
 
[49]  Escuder-Gilabert, L. and M. Peris, Review: Highlights in recent applications of electronic tongues in food analysis. Analytica Chimica Acta, 2010. 665(1): p. 15-25.