Rapid and innovative instrumental approaches for quality and authenticity of olive oils

The quality of virgin olive oils is assessed through the determination of several analytical parameters, whose values must be within the ranges established by the different institutions involved. In addition to official methods, there is a strong need for simple, rapid, and environmentally friendly techniques for the quality control of virgin olive oils and for addressing the challenging task of determining geographical origin and detecting adulterants. Toward this purpose, some of the most interesting applications based on optical spectroscopic techniques, on the measurement of electrical characteristics and on the use of instruments equipped with electronic chemical sensors, including also other promising techniques are herein discussed. These techniques, adequately coupled with an appropriate statistical approach, appear to be promising for assessment of several quality-related parameters. The prediction of sensory attributes and of the oxidative status of virgin olive oils have also been reviewed by adopting these selected techniques, which are also considered to be potentially appropriate solutions for identification of the geographical origin of virgin olive oils and to assess their adulteration with cheaper oils. Overall, the techniques discussed are promising and cutting-edge approaches for the establishment of useful portable instruments for in situ monitoring of the quality of virgin olive oils. Practical applications: The simple, rapid, and environmentally friendly analytical approaches discussed herein represent promising analytical tools for assuring the authenticity and monitoring the quality of virgin olive oils. Such innovative techniques and tools need to be ring-tested and validated. Some innovative reviewed approaches will permit to develop useful portable instruments able to perform in situ appropriate controls also by small laboratories or olive oil mills with limited technical facilities. These equipments will be potentially usable also by trained “non-professional analytical skilled” people. Some other approaches, rapid but more expensive, will be applicable mainly by quality control labs and will increase the number of samples analyzed per day, thus fostering laboratory proficiency and an effective fighting against olive oil fraud. Quality analysis of virgin olive oil can be achieved by a set of chemical and sensory determinations. Reference chemical analyses are usually carried out in a laboratory by trained personnel and requires high costs and lengthy times to obtain results. Innovative techniques characterized by high accuracy, short response time, and possibility of in situ analysis to evaluate olive oil quality are reviewed herein. Such techniques can be divided in different groups depending on the principle of the methodology: 1) optical techniques, such as UV-Vis, NIR, MIR, Raman, and fluorescence spectroscopy; 2) electrical techniques, such as electrical impedance spectroscopy, amperometry, and time domain reflectometry; and 3) electronic noses, electronic tongues and other promising approaches, where an array of electrodes or other technical solutions (PTR-MS, FGC E-nose, NMR) are used in conjunction with multivariate data analysis to obtain a chemical fingerprint of the product.

[1]  J. Kister,et al.  Lipid Compositions and French Registered Designations of Origins of Virgin Olive Oils Predicted by Chemometric Analysis of Mid-Infrared Spectra , 2008, Applied spectroscopy.

[2]  Lorenzo Cerretani,et al.  Rapid FTIR determination of water, phenolics and antioxidant activity of olive oil , 2010 .

[3]  B. Bouchikhi,et al.  Electronic nose and tongue combination for improved classification of Moroccan virgin olive oil profiles , 2013 .

[4]  M. Tsimidou,et al.  Perspective of vibrational spectroscopy analytical methods in on‐field/official control of olives and virgin olive oil , 2017 .

[5]  I. Apetrei,et al.  Voltammetric e-tongue for the quantification of total polyphenol content in olive oils , 2013 .

[6]  Eleonora Iaccheri,et al.  A capacitive technique to assess water content in extra virgin olive oils , 2013 .

[7]  Monica Casale,et al.  Combining information from headspace mass spectrometry and visible spectroscopy in the classification of the Ligurian olive oils. , 2007, Analytica chimica acta.

[8]  José S. Torrecilla,et al.  Self-organizing maps based on chaotic parameters to detect adulterations of extra virgin olive oil with inferior edible oils , 2013 .

[9]  Yukihiro Ozaki,et al.  Partial Least Squares Processing of Near‐Infrared Spectra for Discrimination and Quantification of Adulterated Olive Oils , 2005 .

[10]  Marco Grossi,et al.  A portable biosensor system for bacterial concentration measurements in cow's raw milk , 2011, 2011 4th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI).

[11]  D. Ballabio,et al.  Evaluation of different storage conditions of extra virgin olive oils with an innovative recognition tool built by means of electronic nose and electronic tongue , 2007 .

[12]  J. Gámez García,et al.  Rapid quantification of total polyphenol content in EVOO using NIR sensor with wavelength selection and FS-MLR , 2015, 2015 IEEE International Conference on Imaging Systems and Techniques (IST).

[13]  M. Cáceres,et al.  Comparison of Different Fluorimetric Signals for the Simultaneous Multivariate Determination of Tocopherols in Vegetable Oils , 2006, Applied spectroscopy.

[14]  N. Adhoum,et al.  Electrochemical sensor for hydroperoxides determination based on Prussian blue film modified electrode , 2008 .

[15]  M. Zou,et al.  Rapid authentication of olive oil adulteration by Raman spectrometry. , 2009, Journal of agricultural and food chemistry.

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

[17]  M. C. Horrillo,et al.  Edible and non-edible olive oils discrimination by the application of a sensory olfactory system based on tin dioxide sensors. , 2013, Food chemistry.

[18]  Gerard Downey,et al.  Confirmation of food origin claims by fourier transform infrared spectroscopy and chemometrics: extra virgin olive oil from Liguria. , 2009, Journal of agricultural and food chemistry.

[19]  Gözde Gürdeniz,et al.  Comparison of fatty acid profiles and mid‐infrared spectral data for classification of olive oils , 2010 .

[20]  D. L. García-González,et al.  In-depth assessment of analytical methods for olive oil purity, safety, and quality characterization. , 2015, Journal of agricultural and food chemistry.

[21]  Jin-Ming Gao,et al.  A New Method for Determining Free Fatty Acid Content in Edible Oils by Using Electrical Conductivity , 2012, Food Analytical Methods.

[22]  Emanuele Piuzzi,et al.  Quality and anti-adulteration control of vegetable oils through microwave dielectric spectroscopy , 2010 .

[23]  Javier Gámez García,et al.  On-line system based on hyperspectral information to estimate acidity, moisture and peroxides in olive oil samples , 2015, Comput. Electron. Agric..

[24]  Monica Casale,et al.  Varietal discrimination of extra virgin olive oils by near and mid infrared spectroscopy , 2010 .

[25]  Luigi Ragni,et al.  Assessment of the water content in extra virgin olive oils by Time Domain Reflectometry (TDR) and Partial Least Squares (PLS) regression methods , 2012 .

[26]  Lorenzo Cerretani,et al.  Application of near (NIR) infrared and mid (MIR) infrared spectroscopy as a rapid tool to classify extra virgin olive oil on the basis of fruity attribute intensity , 2010 .

[27]  B. Riccò,et al.  An opto-electronic system for in-situ determination of peroxide value and total phenol content in olive oil , 2015 .

[28]  Jordi Coello,et al.  Near Infrared Spectrometry and Pattern Recognition as Screening Methods for the Authentication of Virgin Olive Oils of Very Close Geographical Origins , 2000 .

[29]  Lorenzo Cerretani,et al.  Use of electronic nose to determine defect percentage in oils. Comparison with sensory panel results , 2010 .

[30]  Lei Liu,et al.  A novel method for qualitative analysis of edible oil oxidation using an electronic nose. , 2016, Food chemistry.

[31]  N. Sinelli,et al.  Preliminary study on application of mid infrared spectroscopy for the evaluation of the virgin olive oil "freshness". , 2007, Analytica chimica acta.

[32]  Nerea Cabo,et al.  Infrared spectroscopy in the study of edible oils and fats , 1997 .

[33]  P. Egeberg,et al.  Quantitative determination of saturated and unsaturated fatty acids in edible oils by infrared spectroscopy and chemometrics , 2006 .

[34]  D. Firestone,et al.  Authenticity of vegetable oils , 1996 .

[35]  A. Barros,et al.  Short wavelength Raman spectroscopy applied to the discrimination and characterization of three cultivars of extra virgin olive oils in different maturation stages. , 2015, Talanta.

[36]  A. Bendini,et al.  Rapid evaluation of oxidised fatty acid concentration in virgin olive oil using Fourier-transform infrared spectroscopy and multiple linear regression. , 2011 .

[37]  J. Kister,et al.  Origin of French virgin olive oil registered designation of origins predicted by chemometric analysis of synchronous excitation-emission fluorescence spectra. , 2005, Journal of agricultural and food chemistry.

[38]  Bruno Ricco,et al.  A novel electrochemical method for olive oil acidity determination , 2013, IWASI.

[39]  Ana C. A. Veloso,et al.  Monitoring olive oils quality and oxidative resistance during storage using an electronic tongue , 2016 .

[40]  I. Khmelinskii,et al.  Analysis of Olive Oils by Fluorescence Spectroscopy: Methods and Applications , 2012 .

[41]  E. K. Kemsley,et al.  60 MHz 1H NMR spectroscopy for the analysis of edible oils , 2014, Trends in analytical chemistry : TRAC.

[42]  Nuno Rodrigues,et al.  Sensory intensity assessment of olive oils using an electronic tongue. , 2016, Talanta.

[43]  G. Mousdis,et al.  Classification of edible and lampante virgin olive oil based on synchronous fluorescence and total luminescence spectroscopy , 2005 .

[44]  Romà Tauler,et al.  Derivative FTIR spectroscopy for cluster analysis and classification of morocco olive oils , 2011 .

[45]  Marco Grossi,et al.  Fast and Accurate Determination of Olive Oil Acidity by Electrochemical Impedance Spectroscopy , 2014, IEEE Sensors Journal.

[46]  Xiuzhu Yu,et al.  A novel method for determining peroxide value of edible oils using electrical conductivity , 2014 .

[47]  O. Busto,et al.  Identification of olive oil sensory defects by multivariate analysis of mid infrared spectra. , 2015, Food chemistry.

[48]  Qiao Wang,et al.  Research of edible oil detection and variety distinguish based on voltammetric electronic tongue , 2015, ICIA.

[49]  J. Saja,et al.  Combination of an e-nose, an e-tongue and an e-eye for the characterisation of olive oils with different degree of bitterness. , 2010, Analytica chimica acta.

[50]  Adriano Guarnieri,et al.  Rapid screening of fatty acid alkyl esters in olive oils by time domain reflectometry. , 2013, Journal of agricultural and food chemistry.

[51]  Bahram Hemmateenejad,et al.  Discrimination of edible oils and fats by combination of multivariate pattern recognition and FT-IR spectroscopy: a comparative study between different modeling methods. , 2013, Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy.

[52]  I. Wesley,et al.  Measurement of adulteration of olive oils by near-infrared spectroscopy , 1995 .

[53]  J. Torrecilla,et al.  Linear and non linear chemometric models to quantify the adulteration of extra virgin olive oil. , 2010, Talanta.

[54]  B. Riccò,et al.  Linear Non Iterative Sinusoidal Fitting Algorithm for Microbial Impedance Biosensor , 2012 .

[55]  M. Lanzoni,et al.  Automatic ice-cream characterization by impedance measurements for optimal machine setting , 2012 .

[56]  Maria Lisa Clodoveo,et al.  Chemometric analysis for discrimination of extra virgin olive oils from whole and stoned olive pastes. , 2016, Food chemistry.

[57]  Vincent Baeten,et al.  Evaluation of the overall quality of olive oil using fluorescence spectroscopy. , 2015, Food chemistry.

[58]  I. Nakagawa,et al.  Infrared Absorption Spectra of Inorganic Coördination Complexes. VIII. Normal Vibrations of Tetracyanoplatinate(II) Ion1 , 1956 .

[59]  M. Manley,et al.  Comparison of Fourier Transform near Infrared Spectroscopy Partial Least Square Regression Models for South African Extra Virgin Olive Oil Using Spectra Collected on Two Spectrophotometers at Different Resolutions and Path Lengths , 2006 .

[60]  E. Piuzzi,et al.  Dielectric Spectroscopy of Liquids Through a Combined Approach: Evaluation of the Metrological Performance and Feasibility Study on Vegetable Oils , 2009, IEEE Sensors Journal.

[61]  Yukihiro Ozaki,et al.  The Detection and Quantification of Adulteration in Olive Oil by Near-Infrared Spectroscopy and Chemometrics , 2004, Analytical sciences : the international journal of the Japan Society for Analytical Chemistry.

[62]  M. Forina,et al.  Electronic nose based on metal oxide semiconductor sensors as a fast alternative for the detection of adulteration of virgin olive oils , 2002 .

[63]  Y. Heyden,et al.  Geographical classification of olive oils by the application of CART and SVM to their FT‐IR , 2007 .

[64]  Davide Ballabio,et al.  Geographical origin and authentication of extra virgin olive oils by an electronic nose in combination with artificial neural networks , 2006 .

[65]  J. M. González-Sáiz,et al.  Determination of the peroxide value in extra virgin olive oils through the application of the stepwise orthogonalisation of predictors to mid-infrared spectra , 2013 .

[66]  Nathalie Dupuy,et al.  Composition and authentication of virgin olive oil from French PDO regions by chemometric treatment of Raman spectra , 2011 .

[67]  Ricard Boqué,et al.  Application of non-negative matrix factorization combined with Fisher's linear discriminant analysis for classification of olive oil excitation-emission fluorescence spectra , 2006 .

[68]  Gözde Gürdeniz,et al.  Detection of adulteration of extra-virgin olive oil by chemometric analysis of mid-infrared spectral data , 2009 .

[69]  F. Biasioli,et al.  Proton transfer reaction-mass spectrometry (PTR-MS) headspace analysis for rapid detection of oxidative alteration of olive oil. , 2006, Journal of agricultural and food chemistry.

[70]  E. Barsoukov,et al.  Impedance spectroscopy : theory, experiment, and applications , 2005 .

[71]  I. Ihara,et al.  Dielectric properties of edible oils and fatty acids , 2008 .

[72]  J. Spink,et al.  Development and application of a database of food ingredient fraud and economically motivated adulteration from 1980 to 2010. , 2012, Journal of food science.

[73]  Lorenzo Cerretani,et al.  A novel chemometric strategy for the estimation of extra virgin olive oil adulteration with edible oils , 2010 .

[74]  Gerard Downey,et al.  Geographical origin classification of olive oils by PTR-MS , 2008 .

[75]  Emmanuel Hatzakis,et al.  Quality assessment and authentication of virgin olive oil by NMR spectroscopy: a critical review. , 2013, Analytica chimica acta.

[76]  Abdul Rohman,et al.  Fourier transform infrared (FTIR) spectroscopy for analysis of extra virgin olive oil adulterated with palm oil , 2010 .

[77]  Gerard Downey,et al.  Confirmation of declared provenance of European extra virgin olive oil samples by NIR spectroscopy. , 2008, Journal of agricultural and food chemistry.

[78]  I. Arvanitoyannis,et al.  Implementation of Physicochemical and Sensory Analysis in Conjunction with Multivariate analysis towards Assessing Olive Oil Authentication/Adulteration , 2007, Critical reviews in food science and nutrition.

[79]  Constantin Apetrei,et al.  Detection of virgin olive oil adulteration using a voltammetric e-tongue , 2014 .

[80]  Constantin Apetrei,et al.  Electronic Tongues Purposely Designed for the Organoleptic Characterization of Olive Oils , 2010 .

[81]  Hugo Thienpont,et al.  Toward a hyperspectral optical signature of extra virgin olive oil , 2007, SPIE Optics + Optoelectronics.

[82]  Bruno Ricco,et al.  A novel technique to control ice cream freezing by electrical characteristics analysis , 2011 .

[83]  Ernestina Casiraghi,et al.  Characterisation and Classification of Italian Virgin Olive Oils by Near- and Mid-Infrared Spectroscopy , 2008 .

[84]  O. Kanoun,et al.  Assessment of beef meat aging using impedance spectroscopy , 2011, Eighth International Multi-Conference on Systems, Signals & Devices.

[85]  D. Or,et al.  Time domain reflectometry measurement principles and applications , 2002 .

[86]  A. M. Inarejos-García,et al.  Evaluation of minor components, sensory characteristics and quality of virgin olive oil by near infrared (NIR) spectroscopy , 2013 .

[87]  G. Downey,et al.  Detecting and quantifying sunflower oil adulteration in extra virgin olive oils from the eastern mediterranean by visible and near-infrared spectroscopy. , 2002, Journal of agricultural and food chemistry.

[88]  Ν. Βλάχος,et al.  Applications of Fourier transform-infrared spectroscopy to edible oils , 2015 .

[89]  S. Garrigues,et al.  Determination of edible oil parameters by near infrared spectrometry. , 2007, Analytica chimica acta.

[90]  R. Mailer Rapid evaluation of olive oil quality by NIR reflectance spectroscopy , 2004 .

[91]  N. Dupuy,et al.  Authentication of Tunisian virgin olive oils by chemometric analysis of fatty acid compositions and NIR spectra. Comparison with Maghrebian and French virgin olive oils. , 2015, Food chemistry.

[92]  Kosuke Noborio,et al.  Measurement of soil water content and electrical conductivity by time domain reflectometry: a review , 2001 .

[93]  Simona Benedetti,et al.  Application of the Electronic Nose in Olive Oil Analyses , 2010 .

[94]  Banu Ozen,et al.  Prediction of various chemical parameters of olive oils with Fourier transform infrared spectroscopy , 2015 .

[95]  Gerard Downey,et al.  Geographic Classification of Extra Virgin Olive Oils from the Eastern Mediterranean by Chemometric Analysis of Visible and Near-Infrared Spectroscopic Data , 2003, Applied spectroscopy.

[96]  Lorenzo Cerretani,et al.  Chemometric applications to assess quality and critical parameters of virgin and extra-virgin olive oil. A review. , 2016, Analytica chimica acta.

[97]  F. Marini,et al.  Tracing the origin of extra virgin olive oils by infrared spectroscopy and chemometrics: a case study. , 2012, Analytica chimica acta.

[98]  Lorenzo Cerretani,et al.  In‐process monitoring in industrial olive mill by means of FT‐NIR , 2007 .

[99]  Konstantinos Kiritsakis,et al.  Chemical analysis, quality control and packaging issues of olive oil , 2002 .

[100]  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 .

[101]  Ping Wang,et al.  Electronic Nose and Electronic Tongue , 2015 .

[102]  N. Raouafi,et al.  A naphthoquinone/SAM-mediated biosensor for olive oil polyphenol content. , 2016, Food chemistry.

[103]  J. Kister,et al.  Geographic origins and compositions of virgin olive oils determinated by chemometric analysis of NIR spectra. , 2007, Analytica chimica acta.

[104]  Monica Casale,et al.  The potential of coupling information using three analytical techniques for identifying the geographical origin of Liguria extra virgin olive oil , 2010 .

[105]  Lorenzo Cerretani,et al.  Monitoring of fatty acid composition in virgin olive oil by Fourier transformed infrared spectroscopy coupled with partial least squares , 2009 .

[106]  A. C. Veloso,et al.  Single-cultivar extra virgin olive oil classification using a potentiometric electronic tongue. , 2014, Food chemistry.

[107]  Vincent Baeten,et al.  Detection of the presence of hazelnut oil in olive oil by FT-raman and FT-MIR spectroscopy. , 2005, Journal of agricultural and food chemistry.

[108]  E. Frankel,et al.  Chemistry of extra virgin olive oil: adulteration, oxidative stability, and antioxidants. , 2010, Journal of agricultural and food chemistry.

[109]  Constantin Apetrei,et al.  Novel method based on carbon paste electrodes for the evaluation of bitterness in extra virgin olive oils , 2007 .

[110]  Royston Goodacre,et al.  Rapid quantitative assessment of the adulteration of virgin olive oils with hazelnut oils using Raman spectroscopy and chemometrics. , 2003, Journal of agricultural and food chemistry.

[111]  P. Dardenne,et al.  Near-infrared, mid-infrared, and Raman spectroscopy , 2020, Chemical Analysis of Food.

[112]  M. Guillén,et al.  Some of the most significant changes in the Fourier transform infrared spectra of edible oils under oxidative conditions , 2000 .

[113]  B. Bouchikhi,et al.  Discrimination and identification of geographical origin virgin olive oil by an e-nose based on MOS sensors and pattern recognition techniques , 2011 .

[114]  Hu Lizhi,et al.  Discrimination of olive oil adulterated with vegetable oils using dielectric spectroscopy , 2010 .

[115]  Yong He,et al.  Identification of Geographical Origin of Olive Oil Using Visible and Near-Infrared Spectroscopy Technique Combined with Chemometrics , 2009, Food and Bioprocess Technology.

[116]  I. Khmelinskii,et al.  Synchronous fluorescence spectroscopy of edible vegetable oils. Quantification of tocopherols. , 2005, Journal of agricultural and food chemistry.

[117]  J. Saja,et al.  Evaluation of the polyphenolic content of extra virgin olive oils using an array of voltammetric sensors , 2008 .

[118]  Maurizio Zandomeneghi,et al.  Fluorescence of vegetable oils: olive oils. , 2005, Journal of agricultural and food chemistry.

[119]  Luis Cuadros-Rodríguez,et al.  Proton transfer reaction-mass spectrometry volatile organic compound fingerprinting for monovarietal extra virgin olive oil identification , 2012 .

[120]  Sergio Luiz Stevan,et al.  Sensor and Methodology for Dielectric Analysis of Vegetal Oils Submitted to Thermal Stress , 2015, Sensors.

[121]  J. A. de Saja,et al.  Electronic nose based on conducting polymers for the quality control of the olive oil aroma: Discrimination of quality, variety of olive and geographic origin , 2001 .

[122]  C. Pizarro,et al.  Classification of Spanish extra virgin olive oils by data fusion of visible spectroscopic fingerprints and chemical descriptors. , 2013, Food chemistry.

[123]  Lorenzo Cerretani,et al.  Metal oxide semiconductor sensors for monitoring of oxidative status evolution and sensory analysis of virgin olive oils with different phenolic content , 2009 .

[124]  Rajko Vidrih,et al.  Correlation of basic oil quality indices and electrical properties of model vegetable oil systems. , 2013, Journal of agricultural and food chemistry.

[125]  Barbara Muik,et al.  Direct, reagent-free determination of free fatty acid content in olive oil and olives by Fourier transform Raman spectrometry , 2003 .

[126]  R. Boqué,et al.  Cluster analysis applied to the exploratory analysis of commercial spanish olive oils by means of excitation-emission fluorescence spectroscopy. , 2004, Journal of agricultural and food chemistry.

[127]  C. Pasquini Near Infrared Spectroscopy: fundamentals, practical aspects and analytical applications , 2003 .

[128]  Marco Mascini,et al.  Biosensor measurements of polar phenolics for the assessment of the bitterness and pungency of virgin olive oil. , 2006, Journal of agricultural and food chemistry.

[129]  Sebastián Sánchez,et al.  Virgin olive oil sensory evaluation by an artificial olfactory system, based on Quartz Crystal Microbalance (QCM) sensors , 2010 .

[130]  Study of oils from the protected denomination of origin “Siurana” using excitation-emission fluorescence spectroscopy and three-way methods of analysis , 2005 .

[131]  M. Cano,et al.  Improving the training and data processing of an electronic olfactory system for the classification of virgin olive oil into quality categories , 2011 .

[132]  Ana María Gómez-Caravaca,et al.  A spectroscopic and chemometric study of virgin olive oils subjected to thermal stress , 2011 .

[133]  C. W. Fritsch,et al.  Measurements of frying fat deterioration: A brief review , 1981 .

[134]  M. Guillén,et al.  Fourier transform infrared spectra data versus peroxide and anisidine values to determine oxidative stability of edible oils , 2002 .

[135]  J. M. Caridad,et al.  Chemometric study of Andalusian extra virgin olive oils Raman spectra: Qualitative and quantitative information. , 2016, Talanta.

[136]  Rubén M. Maggio,et al.  Detection of low‐quality extra virgin olive oils by fatty acid alkyl esters evaluation: a preliminary and fast mid‐infrared spectroscopy discrimination by a chemometric approach , 2013 .

[137]  George A. Mousdis,et al.  Synchronous fluorescence spectroscopy for quantitative determination of virgin olive oil adulteration with sunflower oil , 2006, Analytical and bioanalytical chemistry.

[138]  Maria Z. Tsimidou,et al.  Looking through the qualities of a fluorimetric assay for the total phenol content estimation in virgin olive oil, olive fruit or leaf polar extract , 2009 .

[139]  M. Casale,et al.  Review: Near Infrared Spectroscopy for Analysing Olive Oils , 2014 .

[140]  Zulfiqur Ali,et al.  Total luminescence spectroscopy with pattern recognition for classification of edible oils. , 2003, The Analyst.

[141]  Joseph Irudayaraj,et al.  Discriminant analysis of edible oils and fats by FTIR, FT-NIR and FT-Raman spectroscopy , 2005 .

[142]  Tullia Gallina Toschi,et al.  Rapid direct analysis to discriminate geographic origin of extra virgin olive oils by flash gas chromatography electronic nose and chemometrics. , 2016, Food chemistry.

[143]  Gözde Gürdeniz,et al.  Differentiation of mixtures of monovarietal olive oils by mid-infrared spectroscopy and chemometrics , 2007 .