Quality and safety assessment of food and agricultural products by hyperspectral fluorescence imaging.

Hyperspectral fluorescence imaging (HSFI) is potentially useful for assessing food and agricultural products, because it combines the merits of both hyperspectral imaging and fluorescence spectroscopy. This paper provides an introduction to HSFI: the principle and components of HSFI, calibration and image processing are described. In addition, recent advances in the application of HSFI to food and agricultural product assessment are reviewed, such as contaminant detection, constituent analysis and quality evaluation. Finally, current limitations and likely future development trends are discussed.

[1]  Bart Nicolai,et al.  Non-destructive measurement of bitter pit in apple fruit using NIR hyperspectral imaging , 2006 .

[2]  Alan M. Lefcourt,et al.  Ns-scale time-resolved laser induced fluorescence imaging for detection of fecal contamination on apples , 2004, SPIE Optics East.

[3]  D. E. Chan,et al.  High Throughput Spectral Imaging System for Wholesomeness Inspection of Chicken , 2008 .

[4]  Muhua Liu,et al.  Hyperspectral Laser-induced Fluorescence Imaging for Nondestructive Assessing Soluble Solids Content of Orange , 2007, CCTA.

[5]  Rasmus Bro,et al.  Exploring Fluorescence Spectra of Apple Juice and Their Connection to Quality Parameters by Chemometrics , 1996 .

[6]  Jeanny Hérault,et al.  Curvilinear component analysis: a self-organizing neural network for nonlinear mapping of data sets , 1997, IEEE Trans. Neural Networks.

[7]  Robert L. Brown,et al.  Single aflatoxin contaminated corn kernel analysis with fluorescence hyperspectral image , 2010, Defense + Commercial Sensing.

[8]  Kurt C. Lawrence,et al.  Improved Hyperspectral Imaging System for Fecal Detection on Poultry Carcasses , 2007 .

[9]  Jianwei Qin,et al.  Detection of organic residues on food processing equipment surfaces by spectral imaging method , 2010, Defense + Commercial Sensing.

[10]  Aapo Hyvärinen,et al.  Fast and robust fixed-point algorithms for independent component analysis , 1999, IEEE Trans. Neural Networks.

[11]  Moon S. Kim,et al.  Hyperspectral imaging for detection of black tip damage in wheat kernels , 2009, Defense + Commercial Sensing.

[12]  Bim Prasad Shrestha,et al.  Integrating Reflectance and Fluorescence Imaging for Apple Disorder Classification , 2003 .

[13]  Colm P. O'Donnell,et al.  Identification of mushrooms subjected to freeze damage using hyperspectral imaging. , 2009 .

[14]  Renfu Lu,et al.  Hyperspectral Reflectance and Fluorescence for Assessing Apple Quality , 2005 .

[15]  Moon S. Kim,et al.  Development of hyperspectral imaging technique for the detection of apple surface defects and contaminations , 2004 .

[16]  Gerrit Polder,et al.  Hyperspectral image analysis for measuring ripeness of tomatoes. , 2000 .

[17]  Colm P. O'Donnell,et al.  Hyperspectral imaging – an emerging process analytical tool for food quality and safety control , 2007 .

[18]  Moon S. Kim,et al.  Analysis of hyperspectral fluorescence images for poultry skin tumor inspection. , 2004, Applied optics.

[19]  Grethe Iren A. Borge,et al.  Chlorophyll fluorescence as a tool for non-destructive estimation of anthocyanins and total flavonoids in apples , 2006 .

[20]  J. Whitmarsh,et al.  Postharvest Imaging of Chlorophyll Fluorescence from Lemons Can Be Used to Predict Fruit Quality , 2000, Photosynthetica.

[21]  Jianwei Qin,et al.  Detection of Organic Residues on Poultry Processing Equipment Surfaces by LED-Induced Fluorescence Imaging , 2011 .

[22]  Detection of bacterial biofilm on stainless steel by hyperspectral fluorescence imaging , 2008 .

[23]  Kurt C. Lawrence,et al.  Line-scan hyperspectral imaging for real-time poultry fecal detection , 2010, Defense + Commercial Sensing.

[24]  M. Zude,et al.  Nondestructive application of laser-induced fluorescence spectroscopy for quantitative analyses of phenolic compounds in strawberry fruits (Fragaria x ananassa). , 2008, Journal of agricultural and food chemistry.

[25]  José A. Malpica,et al.  A projection pursuit algorithm for anomaly detection in hyperspectral imagery , 2008, Pattern Recognit..

[26]  Giovanni Agati,et al.  Assessment of anthocyanins in grape (Vitis vinifera L.) berries using a noninvasive chlorophyll fluorescence method. , 2007, Journal of agricultural and food chemistry.

[27]  Alan M. Lefcourt,et al.  Multispectral fluorescence imaging techniques for nondestructive food safety inspection , 2004, SPIE Optics East.

[28]  Aoife Gowen,et al.  Prediction of white button mushroom (Agaricus bisporus) moisture content using hyperspectral imaging , 2009 .

[29]  Pramod K. Varshney,et al.  A fast source separation algorithm for hyperspectral image processing , 2002, IEEE International Geoscience and Remote Sensing Symposium.

[30]  Seong-Gon Kong,et al.  Inspection of poultry skin tumor using hyperspectral fluorescence imaging , 2003, International Conference on Quality Control by Artificial Vision.

[31]  S. Prasher,et al.  Pork quality and marbling level assessment using a hyperspectral imaging system , 2007 .

[32]  Zuzana Hruska,et al.  Hyperspectral bright greenish-yellow fluorescence (BGYF) imaging of aflatoxin contaminated corn kernels , 2006, SPIE Optics East.

[33]  John A. Richards,et al.  Remote Sensing Digital Image Analysis: An Introduction , 1999 .

[34]  Renfu Lu,et al.  Nondestructive measurement of firmness and soluble solids content for apple fruit using hyperspectral scattering images , 2007 .

[35]  Renfu Lu,et al.  Original paper: Hyperspectral waveband selection for internal defect detection of pickling cucumbers and whole pickles , 2010 .

[36]  Manan Sharma,et al.  Portable hyperspectral fluorescence imaging system for detection of biofilms on stainless steel surfaces , 2008, SPIE Defense + Commercial Sensing.

[37]  Kurt C. Lawrence,et al.  Development of real-time line-scan hyperspectral imaging system for online agricultural and food product inspection , 2010, Defense + Commercial Sensing.

[38]  M. Lennon,et al.  Independent component analysis as a tool for the dimensionality reduction and the representation of hyperspectral images , 2001, IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217).

[39]  Kaunglin Chao,et al.  Detection of microbial biofilms on food processing surfaces: hyperspectral fluorescence imaging study , 2009, Defense + Commercial Sensing.

[40]  T Hobo,et al.  Polyester microchannel chip for electrophoresis – incorporation of a blue LED as light source , 2001, Fresenius' journal of analytical chemistry.

[41]  Á. Vargas Detection of Fecal Contamination on Cantaloupes and Strawberries Using Hyperspectral Fluorescence Imagery , 2006 .

[42]  G. Downey,et al.  Hyperspectral imaging combined with principal component analysis for bruise damage detection on white mushrooms (Agaricus bisporus) , 2008 .

[43]  Moon S. Kim,et al.  Assessment of bacterial biofilm on stainless steel by hyperspectral fluorescence imaging , 2008 .

[44]  R. Lu,et al.  Hyperspectral Scattering for assessing Peach Fruit Firmness , 2006 .

[45]  Bim Prasad Shrestha,et al.  Integrating multispectral reflectance and fluorescence imaging for defect detection on apples , 2006 .

[46]  Yud-Ren Chen,et al.  Hyperspectral imaging technique for detection of poultry fecal residues on food processing equipments , 2005, SPIE Optics East.

[47]  Moon S. Kim,et al.  Safety Inspection of Cantaloupes and Strawberries Using Multispectral Fluorescence Imaging Techniques , 2004 .

[48]  M. Ngadi,et al.  Hyperspectral imaging for nondestructive determination of some quality attributes for strawberry , 2007 .

[49]  Yu Xiao-qiang Hyperspectral Laser-induced Fluorescence Imaging for Nondestructive Assessing Soluble Solids Content of Orange , 2007 .

[50]  Robin Sibson,et al.  What is projection pursuit , 1987 .

[51]  Moon S. Kim,et al.  Multispectral laser-induced fluorescence imaging system for large biological samples. , 2003, Applied optics.

[52]  Alan M. Lefcourt,et al.  A novel integrated PCA and FLD method on hyperspectral image feature extraction for cucumber chilling damage inspection , 2004 .

[53]  I K Fodor,et al.  A Survey of Dimension Reduction Techniques , 2002 .

[54]  Yud-Ren Chen,et al.  Hyperspectral imaging for safety inspection of food and agricultural products , 1999, Other Conferences.

[55]  Taemin Kim,et al.  Emission filter design to detect poultry skin tumors using fluorescence hyperspectral imaging , 2010 .

[56]  Noel D.G. White,et al.  Detection techniques for stored-product insects in grain , 2007 .

[57]  Yud-Ren Chen,et al.  Machine vision technology for agricultural applications , 2002 .

[58]  Zuzana Hruska,et al.  Calibration of a fluorescence hyperspectral imaging system for agricultural inspection and detection , 2010, Defense + Commercial Sensing.

[59]  F. Dowell,et al.  DETECTING AFLATOXIN IN SINGLE CORN KERNELS BY TRANSMITTANCE AND REFLECTANCE SPECTROSCOPY , 2001 .

[60]  Renfu Lu,et al.  Hyperspectral laser-induced fluorescence imaging for assessing apple fruit quality , 2007 .

[61]  A. Gowen,et al.  Use of hyperspectral imaging for evaluation of the shelf-life of fresh white button mushrooms (Agaricus bisporus) stored in different packaging films , 2010 .

[62]  Kurt C. Lawrence,et al.  Evaluation of LED and Tungsten-Halogen Lighting for Fecal Contaminant Detection , 2007 .

[63]  K. Lawrence,et al.  Detection of fecal residue on poultry carcasses by laser-induced fluorescence imaging. , 2009, Journal of food science.

[64]  H. Noh,et al.  Integration of Hyperspectral Reflectance and Fluorescence Imaging for Assessing Apple Maturity , 2007 .

[65]  Y. R. Chen,et al.  Multispectral detection of fecal contamination on apples based on hyperspectral imagery: Part II. Application of hyperspectral fluorescence imaging , 2002 .

[66]  Xuemei Cheng,et al.  HYPERSPECTRAL IMAGING AND PATTERN RECOGNITION TECHNOLOGIES FOR REAL TIME FRUIT SAFETY AND QUALITY INSPECTION , 2004 .

[67]  Jun Song,et al.  Changes in Chlorophyll Fluorescence of Apple Fruit during Maturation, Ripening, and Senescence , 1997 .

[68]  Seong G. Kong,et al.  Principal component analysis for poultry tumor inspection using hyperspectral fluorescence imaging , 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

[69]  Daniel E. Guyer,et al.  Near-infrared hyperspectral reflectance imaging for detection of bruises on pickling cucumbers , 2006, Computers and Electronics in Agriculture.

[70]  D. P. Ariana,et al.  Evaluation of internal defect and surface color of whole pickles using hyperspectral imaging. , 2010 .

[71]  P Jancsók,et al.  Stem-end/Calyx Identification on Apples using Contour Analysis in Multispectral Images , 2007 .

[72]  Gamal ElMasry,et al.  Quality classification of cooked, sliced turkey hams using NIR hyperspectral imaging system , 2011 .

[73]  Roland Valcke,et al.  Fluorescence imaging as a non-destructive method for pre-harvest detection of bitter pit in apple fruit (Malus domestica Borkh.) , 2006 .

[74]  Y. R. Chen,et al.  HYPERSPECTRAL REFLECTANCE AND FLUORESCENCE IMAGING SYSTEM FOR FOOD QUALITY AND SAFETY , 2001 .

[75]  Alan M. Lefcourt,et al.  Detection of fecal contamination in apple calyx by multispectral laser-induced fluorescence , 2005 .

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

[77]  A. Gowen,et al.  Prediction of polyphenol oxidase activity using visible near-infrared hyperspectral imaging on mushroom (Agaricus bisporus) caps. , 2010, Journal of agricultural and food chemistry.

[78]  Robert L. Brown,et al.  Automatic detection of aflatoxin contaminated corn kernels using dual-band imagery , 2009, Defense + Commercial Sensing.

[79]  I. Young,et al.  Calibration and Characterisation of Imaging Spectrographs , 2003 .

[80]  Moon S. Kim,et al.  Classification of fecal contamination on leafy greens by hyperspectral imaging , 2010, Defense + Commercial Sensing.

[81]  Colm P. O'Donnell,et al.  Applications of thermal imaging in food quality and safety assessment , 2010 .

[82]  Moon S. Kim,et al.  ONLINE HYPERSPECTRAL LINE-SCAN FLUORESCENCE IMAGING FOR SAFETY INSPECTION OF APPLES , 2008 .

[83]  Alan M. Lefcourt,et al.  Uses of Hyperspectral and Multispectral Laser Induced Fluorescence Imaging Techniques for Food Safety Inspection , 2004 .

[84]  Marc Lennon,et al.  Curvilinear component analysis for nonlinear dimensionality reduction of hyperspectral images , 2002, SPIE Remote Sensing.

[85]  Seong G. Kong,et al.  Dimensionality reduction of hyperspectral images using kernel ICA , 2009, Defense + Commercial Sensing.