Detection of green pea adulteration in pistachio nut granules by using Raman hyperspectral imaging

Abstract A rapid and nondestructive method for determination of green pea adulteration in pistachio nut granules was demonstrated using Raman hyperspectral imaging combined with principal component analysis and partial least squares regression (PLSR). Pistachio nut granule samples were adulterated with green pea granules at different concentrations ranging from 20 to 80 % (w/w). Hyperspectral Raman images were acquired in the wavenumber range of 200–3700 cm−1 by using a 1064-nm laser. PLSR model was developed for predicting the content of the green pea adulteration in pistachio nut granules. Based on the whole spectral data, good prediction model was obtained with a coefficient of determination (R2) value of 0.99 and root-mean-square error of prediction value of 0.048. The results showed that hyperspectral imaging is beneficial for determining the adulteration of pistachio nuts with a time-saving and nondestructive method, which is important to confirm food quality and safety.

[1]  E. Küçüköner,et al.  Some chemical characteristics of Pistacia vera varieties produced in Turkey , 2003 .

[2]  J. Renwick Beattie,et al.  A critical evaluation of Raman spectroscopy for the analysis of lipids: Fatty acid methyl esters , 2004, Lipids.

[3]  Shona Stewart,et al.  Raman spectroscopy and chemical imaging for quantification of filtered waterborne bacteria. , 2006, Journal of microbiological methods.

[4]  Royston Goodacre,et al.  Making colourful sense of Raman images of single cells. , 2015, The Analyst.

[5]  Eric C. Le Ru,et al.  Principles of Surface-Enhanced Raman Spectroscopy: And Related Plasmonic Effects , 2008 .

[6]  Vincent Baeten,et al.  Oil and Fat Classification by FT-Raman Spectroscopy , 1998 .

[7]  I. Boyaci,et al.  Dispersive and FT-Raman spectroscopic methods in food analysis , 2015 .

[8]  H. Pataki,et al.  Characterization of melt extruded and conventional Isoptin formulations using Raman chemical imaging and chemometrics. , 2011, International journal of pharmaceutics.

[9]  A. Materny,et al.  Rapid Determination of Free Fatty Acid in Extra Virgin Olive Oil by Raman Spectroscopy and Multivariate Analysis , 2009 .

[10]  T. Begley,et al.  A liquid chromatography-tandem mass spectrometry method for the detection of economically motivated adulteration in protein-containing foods. , 2012, Journal of chromatography. A.

[11]  A. Soria,et al.  A new methodology based on GC-MS to detect honey adulteration with commercial syrups. , 2007, Journal of agricultural and food chemistry.

[12]  Havva Tümay Temiz,et al.  A novel method for discrimination of beef and horsemeat using Raman spectroscopy. , 2014, Food chemistry.

[13]  Santosh Lohumi,et al.  Detection of starch adulteration in onion powder by FT-NIR and FT-IR spectroscopy. , 2014, Journal of agricultural and food chemistry.

[14]  Ming Zhao,et al.  Detection of adulteration in fresh and frozen beefburger products by beef offal using mid-infrared ATR spectroscopy and multivariate data analysis. , 2014, Meat science.

[15]  M. Hajdúch,et al.  Discrimination of circulating tumor cells of breast cancer and colorectal cancer from normal human mononuclear cells using Raman spectroscopy. , 2013, The Analyst.

[16]  Moon S. Kim,et al.  Detection of melamine in milk powders based on NIR hyperspectral imaging and spectral similarity analyses , 2014 .

[17]  Yoshio Makino,et al.  Assessment of Visible Near-Infrared Hyperspectral Imaging as a Tool for Detection of Horsemeat Adulteration in Minced Beef , 2015, Food and Bioprocess Technology.

[18]  M. Özcan,et al.  Mineral contents and proximate composition of Pistacia vera kernels , 2014, Environmental Monitoring and Assessment.

[19]  Nives Ogrinc,et al.  Carbon and nitrogen natural stable isotopes in Slovene honey: adulteration and botanical and geographical aspects. , 2010, Journal of agricultural and food chemistry.

[20]  Shuming Yang,et al.  Recent developments in application of stable isotope analysis on agro-product authenticity and traceability. , 2014, Food chemistry.

[21]  M. Dreher.  Pistachio nuts: composition and potential health benefits. , 2012, Nutrition reviews.

[22]  H. Ueda,et al.  Raman mapping for kinetic analysis of crystallization of amorphous drug based on distributional images. , 2014, International journal of pharmaceutics.

[23]  L. Servillo,et al.  Estimating bergamot juice adulteration of lemon juice by high-performance liquid chromatography (HPLC) analysis of flavanone glycosides. , 2008, Journal of agricultural and food chemistry.

[24]  Landulfo Silveira,et al.  USE OF DISPERSIVE RAMAN SPECTROSCOPY IN THE DETERMINATION OF UNSATURATED FAT IN COMMERCIAL EDIBLE OIL- AND FAT-CONTAINING INDUSTRIALIZED FOODS , 2009 .

[25]  M D Luque de Castro,et al.  Comparison and joint use of near infrared spectroscopy and Fourier transform mid infrared spectroscopy for the determination of wine parameters. , 2005, Talanta.

[26]  Slobodan Sasić.  Chemical imaging of pharmaceutical granules by Raman global illumination and near-infrared mapping platforms. , 2008, Analytica chimica acta.

[27]  Yang Shan,et al.  Detection of honey adulteration by high fructose corn syrup and maltose syrup using Raman spectroscopy , 2012 .

[28]  Htun Patrik,et al.  Fatty acid profile. , 2015 .

[29]  Deleon N Correa,et al.  Detection of explosives on the surface of banknotes by Raman hyperspectral imaging and independent component analysis. , 2015, Analytica chimica acta.

[30]  T. García,et al.  Determination of food authenticity by enzyme-linked immunosorbent assay (ELISA) , 2008 .

[31]  Bernhard Lendl,et al.  Direct monitoring of lipid oxidation in edible oils by Fourier transform Raman spectroscopy. , 2005, Chemistry and physics of lipids.

[32]  Joseph Maria Kumar Irudayaraj,et al.  Comparison of near-infrared, fourier transform-infrared, and fourier transform-raman methods for determining olive pomace oil adulteration in extra virgin olive oil , 2001 .

[33]  R. Polat,et al.  SPLITTING AND BREAKING OF PISTACHIO NUTS WITH STRIKING AND HEATING , 2008 .

[34]  Halina Abramczyk,et al.  Raman 'optical biopsy' of human breast cancer. , 2012, Progress in biophysics and molecular biology.

[35]  I. Boyaci,et al.  Determination of butter adulteration with margarine using Raman spectroscopy. , 2013, Food chemistry.

[36]  H. Pataki,et al.  Characterization of drug-cyclodextrin formulations using Raman mapping and multivariate curve resolution. , 2011, Journal of pharmaceutical and biomedical analysis.

[37]  Lu Wang,et al.  Potential of hyperspectral imaging for rapid prediction of hydroxyproline content in chicken meat. , 2015, Food chemistry.

[38]  Ö. F. Gamli,et al.  The effect of the different packaging and storage conditions on the quality of pistachio nut paste , 2007 .

[39]  Jianwei Qin,et al.  Investigation of Raman chemical imaging for detection of lycopene changes in tomatoes during postharvest ripening , 2011 .

[40]  A. Maguire,et al.  Fatty acid profile, tocopherol, squalene and phytosterol content of brazil, pecan, pine, pistachio and cashew nuts , 2006, International journal of food sciences and nutrition.

[41]  Gamal ElMasry,et al.  Prediction of some quality attributes of lamb meat using near-infrared hyperspectral imaging and multivariate analysis. , 2012, Analytica chimica acta.

[42]  A. Materny,et al.  Visible Raman spectroscopy for the discrimination of olive oils from different vegetable oils and the detection of adulteration , 2009 .