Abstract
Rapid and non-destructive spectroscopic methods were developed using discrete light based near infrared (NIR) and Fourier transform near infrared (FTNIR) spectroscopy and compared for efficient determination of physico-chemical characteristics of wheat grain. The FTNIR spectra were analyzed using partial least squares regression with various preprocessing techniques. The best model for moisture, protein, ash, fat, thousand kernel weight and hardness with lowest RMSECV values 0.60, 0.17, 0.03, 0.02, 0.7, 1.2 and maximum correlation coefficient (R2) 0.97, 0.95,0.87,0.90,0.95 and 0.82 respectively were obtained. The discrete light based NIR spectral data were analyzed using multiple linear regression. The best model for moisture, protein, ash, fat, thousand kernel weight and hardness with lowest RMSECV values 0.94, 0.34, 0.04, 0.05, 1.09, 1.35 and maximum correlation coefficient (R2) 0.96, 0.90, 0.87, 0.75, 0.97 and 0.88 respectively were obtained. Comparing both the methods, FTNIR with lower relative error percentage was found to be useful for routine analysis in wheat processing industries.



Similar content being viewed by others
Explore related subjects
Discover the latest articles and news from researchers in related subjects, suggested using machine learning.References
Economic Survey, Department of Agricultural and Co-operation, India: Directorate of Economics and Statistics (2016). http://indiabudget.nic.in. Accessed 10 July 2016
Y. Pomeranz, Modern Cereal Science and Technology (VCH Publishers Inc., New York, 1987), pp. 258–333
P.R. Shewry, Wheat. J. Exp. Bot., 60, 1537–1553 (2009)
USDA Nutrient database for Standard Reference, Release 27, Wheat Flour, Whole Grain (2014). http://ndb.nal.usda.gov/ndb/foods/show/6489. Accessed 4 June 2014
H. Shi, P. Yu, Comparison of grating-based near-infrared (NIR) and Fourier transform mid-infrared (ATR-FT/MIR) spectroscopy based on spectral preprocessing and wavelength selection for the determination of crude protein and moisture content in wheat. Food Control (2017). https://doi.org/10.1016/j.foodcont.2017.06.015
G.A. de Oliveira, F. de Castilhos, C.M.C. Renard, S. Bureau, Comparison of NIR and MIR spectroscopic methods for determination of individual sugars, organic acids and carotenoids in passion fruit. Food Res. Int. 60, 154–162 (2014)
B. Suart, Infrared Spectroscopy: Fundamental and Applications (Wiley, Chichester, 2004)
T. Woodcock, G. Downey, C.P. O’Donnell, Review: better quality food and beverages: the role of near infrared spectroscopy. J. Near Infrared Spectrosc. 16(1), 1–29 (2008)
D. Cozzolino, Recent trends on the use of infrared spectroscopy to trace and authenticate natural and agricultural food products. Appl. Spectrosc. Rev. 47, 518–530 (2012)
A. Subramanian, L. Rodrigez-Saona, Fourier transform infrared (FTIR) spectroscopy, in Infrared Spectroscopy for Food Quality Analysis and Control, ed. by D.W. Sun (Academic Press, Amsterdam, 2009), pp. 146–174
L.E. Agelet, C.R. Hurburgh Jr., A tutorial on near infrared spectroscopy and its calibration. Crit. Rev. Anal. Chem. 40(4), 246–260 (2010)
A.G. Olszak, J. Schmit, M.G. Heaton, Interferometry: Technology and Applications (Bruker, Billerica, 2012). Retrieved 1 April 2012
H.W. Siesler, Y. Ozaki, S. Kawata, H.M. Heise, Near-Infrared Spectroscopy: Principles, Instruments, Applications (Wiley, Weinheim, 2008)
L.M.L. Laurens, E.J. Wolfrum, Feasibility of spectroscopic characterization of algal lipids: chemometric correlation of NIR and FTIR spectra with exogenous lipids in algal biomass. Bio-Energy Res. 4, 22–35 (2011)
P.R. Armstrong, B.E. Maghirang, F. Xie, F.E. Dowell, Comparison of dispersive and Fourier-transform NIR instruments for measuring grain and flour attributes. Am. Soc. Agric. Biol. Eng. 22, 453–457 (2006)
J. Hell, M. Prückler, L. Danner, U. Henniges, S. Apprich, T. Rosenau, S. Böhmdorfer, A comparison between near-infrared (NIR) and mid-infrared (ATR-FTIR) spectroscopy for the multivariate determination of compositional properties in wheat bran samples. Food Control 60, 365–369 (2016)
R. Jambunathan, S.M. Kherdekar, W.J. Stenhouse, Sorghum grain hardness and its relationship to mold susceptibility and mold resistance. J. Agric. Food Chem. 40, 1403–1408 (1992)
AOAC, Officials Methods of Analysis, 18th edn. (Association of Officials Analytical Chemists, Washington, DC, 2005)
P. Geladi, B.R. Kowalski, Partial least square regression: a tutorial. Anal. Chim. Acta 185, 1–17 (1986)
W. Srikham, N. Athapol, Milling quality assessment of Khao Dok Mali 105 milled rice by near-infrared reflectance spectroscopy technique. J. Food Sci. Technol. 52(11), 7500–7506 (2015)
G. Mishra, D.C. Joshi, D. Mohapatra, V.B. Babu, Varietal influence on the microwave popping characteristics of sorghum. J. Cereal Sci. 65, 19–24 (2015)
G. Mishra, S. Srivastava, B.K. Panda, H.N. Mishra, Rapid assessment of quality change and insect infestation in stored wheat grain using FT-NIR spectroscopy and chemometrics. Food Anal. Methods (2017). https://doi.org/10.1007/s12161-017-1094-9
W. Vermerris, Protocol for the screening of the UniformMu maize population with near infrared reflectance spectroscopy (2006). https://cellwall.genomics.purdue.edu/techniques/8.html. Accessed 24 July 2017
B.M. Plumier, M.G.C. Danao, V. Singh, K.D. Rausch, Analysis and prediction of unreacted starch content in corn using FT-NIR spectroscopy. Trans. ASABE 56(5), 1877–1844 (2013)
M. Meenu, U. Kamboj, A. Sharma, P. Guha, S. Mishra, Green method for determination of phenolic compounds in mung bean (Vigna radiata L.) based on near-infrared spectroscopy and chemometrics. Int. J. Food Sci. Technol. 51(12), 2520–2527 (2016)
J. Cai, Q. Chen, X. Wan, J. Zhao, 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 Chem. 126(3), 1354–1360 (2011)
C. Shiroma, L. Rodriguez-Saona, Application of NIR and MIR spectroscopy in quality control of potato chips. J. Food Compos. Anal. 22, 596–605 (2009)
J. Chitra, M. Ghosh, H.N. Mishra, Rapid quantification of cholesterol in dairy powders using Fourier transform near infrared spectroscopy and chemometrics. Food Control 78, 342–349 (2016)
S. Tripathi, H.N. Mishra, A rapid FT-NIR method for estimation of aflatoxin B1 in red chilli powder. Food Control 20(9), 840–846 (2009)
H. Chen, W. Ai, Q. Feng, Z. Jia, Q. Song, FT-NIR spectroscopy and Whittaker smoother applied to joint analysis of duel-components for corn. Spectrochim. Acta A 118, 752–759 (2014)
V. Sileoni, O. Marconi, G. Perretti, P. Fantozzi, Evaluation of different validation strategies and long term effects in NIR calibration models. Food Chem. 141(3), 2639–2648 (2013)
Acknowledgements
The authors of the manuscript acknowledge Ministry of Human Resource Development (MHRD), Government of India for providing the research fund and Indian Institute of Technology Kharagpur for providing necessary lab facilities to conduct the experiments. The authors are grateful to Ms. Chitra Jayakumar, Research scholar of Agricultural and Food Engineering department for her guidance and support.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors don’t have any conflict of interest. All the co authors are agreed for this submission.
Rights and permissions
About this article
Cite this article
Pandey, P., Mishra, G. & Mishra, H.N. Development of a non-destructive method for wheat physico-chemical analysis by chemometric comparison of discrete light based near infrared and Fourier transform near infrared spectroscopy. Food Measure 12, 2535–2544 (2018). https://doi.org/10.1007/s11694-018-9870-9
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11694-018-9870-9


