Detection of fusarium damage in Canadian wheat using visible/near-infrared hyperspectral imaging

Fusarium damage in wheat may reduce the quality and safety of food and feed products. In this study, the use of hyperspectral imaging was investigated to detect fusarium damaged kernels (FDK) in Canadian wheat samples. More than 5,200 kernels, representing seven major Canadian wheat classes, with varying degree of infection symptoms ranging from sound through mild to severe were imaged in the visible-NIR (400–1,000 nm) wavelength range. Partial least squares discriminant analysis (PLS-DA) was used to segregate kernels into sound and damaged categories based on kernel mean spectra. A universal PLS-DA model based on four wavelengths was able to detect FDK in all seven classes with an overall accuracy of 90 % and false positives of 9 %.

[1]  Gerrit Polder,et al.  Detection of Fusarium in single wheat kernels using spectral Imaging , 2005 .

[2]  W. Bushnell,et al.  Safety assurance and quality assurance issues associated with Fusarium head blight in wheat. , 2003 .

[3]  Roger Jones,et al.  Scab of Wheat and Barley: A Re-emerging Disease of Devastating Impact. , 1997, Plant disease.

[4]  Mauro Zaninelli,et al.  Use of the Electronic Nose as a Screening Tool for the Recognition of Durum Wheat Naturally Contaminated by Deoxynivalenol: A Preliminary Approach , 2011, Sensors.

[5]  W. Bushnell,et al.  Fusarium Head Blight of Wheat and Barley , 2003 .

[6]  Noel D.G. White,et al.  Classification of Fungal Infected Wheat Kernels Using Near-Infrared Reflectance Hyperspectral Imaging and Support Vector Machine , 2007 .

[7]  Floyd E. Dowell,et al.  NIR Absorbance Characteristics of Deoxynivalenol and of Sound and Fusarium-Damaged Wheat Kernels , 2009 .

[8]  R. Corradini,et al.  Occurrence of deoxynivalenol and its 3-β-D-glucoside in wheat and maize , 2009, Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment.

[9]  S. Delwiche,et al.  Enhancement of Fusarium head blight detection in free-falling wheat kernels using a bichromatic pulsed LED design , 2009 .

[10]  B. Osborne,et al.  Classification of Sound and Stained Wheat Grains Using Visible and near Infrared Hyperspectral Image Analysis , 2007 .

[11]  P. Scott,et al.  Gas chromatography with electron capture and mass spectrometric detection of deoxynivalenol in wheat and other grains. , 1981, Journal - Association of Official Analytical Chemists.

[12]  Stephen R. Delwiche,et al.  Detection of Scab-Damaged Hard Red Spring Wheat Kernels by Near-Infrared Reflectance , 2004 .

[13]  Paul J. Williams,et al.  Indirect Detection of Fusarium Verticillioides in Maize (Zea mays L.) Kernels by near Infrared Hyperspectral Imaging , 2010 .

[14]  J. Dexter,et al.  Removal by specific gravity table of tombstone kernels and associated trichothecenes from wheat infected with fusarium head blight , 1991 .

[15]  M. Shahin,et al.  Original paper: Detection of Fusarium damaged kernels in Canada Western Red Spring wheat using visible/near-infrared hyperspectral imaging and principal component analysis , 2011 .

[16]  Digvir S. Jayas,et al.  Fungal Detection in Wheat Using Near-Infrared Hyperspectral Imaging , 2007 .

[17]  J. Pestka,et al.  Enzyme-linked immunosorbent assay employing monoclonal antibody specific for deoxynivalenol (vomitoxin) and several analogues , 1988 .

[18]  J. Dexter,et al.  Fusarium head blight: effect on the milling and baking of some Canadian wheats , 1996 .

[19]  Elisabeth Fredlund,et al.  Moulds and mycotoxins in rice from the Swedish retail market , 2009, Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment.

[20]  H. Kistler,et al.  Heading for disaster: Fusarium graminearum on cereal crops. , 2004, Molecular plant pathology.

[21]  Sultan Singh,et al.  Effect of spatial variation of incident radiation on spectral response of a large area silicon solar cell and the cell parameters determined from it , 2003 .

[22]  H H Casper,et al.  Determination of deoxynivalenol in wheat, barley, and malt by column cleanup and gas chromatography with electron capture detection. , 1996, Journal of AOAC International.

[23]  C. Windels.  Economic and social impacts of fusarium head blight: changing farms and rural communities in the northern great plains. , 2000, Phytopathology.

[25]  Paul Chen,et al.  Estimation of Fusarium scab in wheat using machine vision and a neural network , 1998 .

[26]  Floyd E. Dowell,et al.  Predicting Scab, Vomitoxin, and Ergosterol in Single Wheat Kernels Using Near-Infrared Spectroscopy , 1999 .