Development of a remote electronic tongue system combined with the VMD-HT feature extraction method for honey botanical origin authentication

[1]  J. Louveaux,et al.  Methods of Melissopalynology , 1978 .

[2]  Paul Geladi,et al.  Principal Component Analysis , 1987, Comprehensive Chemometrics.

[3]  I. Lundström,et al.  An electronic tongue based on voltammetry , 1997 .

[4]  N. Huang,et al.  The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[5]  I. Jolliffe.  Principal Component Analysis , 2002 .

[6]  P. Tse,et al.  Machine fault diagnosis through an effective exact wavelet analysis , 2004 .

[7]  Louis S. Santiago,et al.  A review of volatile analytical methods for determining the botanical origin of honey , 2007 .

[8]  V. Kaškonienė,et al.  Composition of volatile compounds of honey of various floral origin and beebread collected in Lithuania , 2008 .

[9]  L. Estevinho,et al.  An electronic tongue for honey classification , 2008 .

[10]  Heng Tao Shen,et al.  Principal Component Analysis , 2009, Encyclopedia of Biometrics.

[11]  Dianhui Wang,et al.  Extreme learning machines: a survey , 2011, Int. J. Mach. Learn. Cybern..

[12]  W. L. Woo,et al.  Single-Channel Source Separation Using EMD-Subband Variable Regularized Sparse Features , 2011, IEEE Transactions on Audio, Speech, and Language Processing.

[13]  Jun Wang,et al.  Classification and prediction of rice wines with different marked ages by using a voltammetric electronic tongue. , 2011, Biosensors & bioelectronics.

[14]  Willey Yun Hsien Liew,et al.  An approach based on wavelet packet decomposition and Hilbert-Huang transform (WPD-HHT) for spindle bearings condition monitoring , 2012 .

[15]  D. Aguado,et al.  A voltammetric electronic tongue as tool for water quality monitoring in wastewater treatment plants. , 2012, Water research.

[16]  Jing Zhao,et al.  Classification of Chinese honeys according to their floral origin by near infrared spectroscopy. , 2012, Food chemistry.

[17]  Jun Wang,et al.  Evaluation of varieties of set yogurts and their physical properties using a voltammetric electronic tongue based on various potential waveforms , 2013 .

[18]  Xavier Cetó,et al.  Simultaneous identification and quantification of nitro-containing explosives by advanced chemometric data treatment of cyclic voltammetry at screen-printed electrodes. , 2013, Talanta.

[19]  Bipan Tudu,et al.  Identification of monofloral honey using voltammetric electronic tongue , 2013 .

[20]  Rui Guerra,et al.  Determination of the botanical origin of honey by sensor fusion of impedance e-tongue and optical spectroscopy , 2013 .

[21]  Manel del Valle,et al.  Evaluation of red wines antioxidant capacity by means of a voltammetric e-tongue with an optimized sensor array , 2014 .

[22]  Zhenbo Wei,et al.  Tracing floral and geographical origins of honeys by potentiometric and voltammetric electronic tongue , 2014 .

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

[24]  Dominique Zosso,et al.  Variational Mode Decomposition , 2014, IEEE Transactions on Signal Processing.

[25]  Kaiqi Su,et al.  Recent achievements in electronic tongue and bioelectronic tongue as taste sensors , 2015 .

[26]  O. Anjos,et al.  Neural networks applied to discriminate botanical origin of honeys. , 2015, Food chemistry.

[27]  Saskia M. van Ruth,et al.  Discrimination of Polish unifloral honeys using overall PTR-MS and HPLC fingerprints combined with chemometrics , 2015 .

[28]  Li Wang,et al.  Discrimination of Rice with Different Pretreatment Methods by Using a Voltammetric Electronic Tongue , 2015, Sensors.

[29]  Dora Melucci,et al.  The discrimination of honey origin using melissopalynology and Raman spectroscopy techniques coupled with multivariate analysis. , 2015, Food chemistry.

[30]  T. Logenthiran,et al.  Forecasting of photovoltaic power using regularized ensemble Extreme Learning Machine , 2016, 2016 IEEE Region 10 Conference (TENCON).

[31]  Benachir Bouchikhi,et al.  Classification of Honey According to Geographical and Botanical Origins and Detection of Its Adulteration Using Voltammetric Electronic Tongue , 2016, Food Analytical Methods.

[32]  Lin Lu,et al.  Visualized attribute analysis approach for characterization and quantification of rice taste flavor using electronic tongue. , 2016, Analytica chimica acta.

[33]  Minghui Zhu,et al.  Using sensor and spectral analysis to classify botanical origin and determine adulteration of raw honey , 2016 .

[34]  Roberto G. Pellerano,et al.  Multivariate classification of honeys from Corrientes (Argentina) according to geographical origin based on physicochemical properties , 2016 .

[35]  M. Halagarda,et al.  A new model to identify botanical origin of Polish honeys based on the physicochemical parameters and chemometric analysis , 2017 .

[36]  Syed Ghulam Musharraf,et al.  Application of analytical methods in authentication and adulteration of honey. , 2017, Food chemistry.

[37]  Tingjia Yin,et al.  Characterization of different processes lemon slice using electronic tongue , 2018 .

[38]  Sai Xu,et al.  Electronic tongue discrimination of four tomato cultivars harvested at six maturities and exposed to blanching and refrigeration treatments , 2018 .

[39]  Zhenbo Wei,et al.  Fabrication of conducting polymer/noble metal nanocomposite modified electrodes for glucose, ascorbic acid and tyrosine detection and its application to identify the marked ages of rice wines , 2018 .

[40]  N. E. Bari,et al.  Voltammetric electronic tongue combined with chemometric techniques for direct identification of creatinine level in human urine , 2018 .

[41]  Xia Sun,et al.  Design and application of electronic tongue system for orange juice quality detection using internet of things , 2018 .

[42]  Kota Solomon Raju,et al.  Hurst based vibro-acoustic feature extraction of bearing using EMD and VMD , 2018 .

[43]  Qingrui Shi,et al.  Classification of Pericarpium Citri Reticulatae of Different Ages by Using a Voltammetric Electronic Tongue System , 2018, International Journal of Electrochemical Science.

[44]  Tingjia Yin,et al.  Classification of wolfberry with different geographical origins by using voltammetric electronic tongue , 2018 .

[45]  Marcin Zabadaj,et al.  Studying pharmacodynamic effects in cell cultures by chemical fingerprinting − SIA electronic tongue versus 2D fluorescence soft sensor , 2018, Sensors and Actuators B: Chemical.

[46]  Jijian Lian,et al.  Adaptive variational mode decomposition method for signal processing based on mode characteristic , 2018, Mechanical Systems and Signal Processing.

[47]  Małgorzata Wesoły,et al.  Comparison of various data analysis techniques applied for the classification of pharmaceutical samples by electronic tongue , 2018, Sensors and Actuators B: Chemical.

[48]  Fengrong Bi,et al.  Knock detection based on the optimized variational mode decomposition , 2019, Measurement.

[49]  Y. Shrivastava,et al.  A comparative study of EMD and EEMD approaches for identifying chatter frequency in CNC turning , 2019, European Journal of Mechanics - A/Solids.

[50]  Qin Ouyang,et al.  Rapid sensing of total theaflavins content in black tea using a portable electronic tongue system coupled to efficient variables selection algorithms , 2019, Journal of Food Composition and Analysis.

[51]  Bipan Tudu,et al.  A circuit model estimation of voltammetric taste measurement system for black tea , 2019, Measurement.

[52]  Zhenbo Wei,et al.  Application of the voltammetric electronic tongue based on nanocomposite modified electrodes for identifying rice wines of different geographical origins. , 2019, Analytica chimica acta.

[53]  Mohamed Haddar,et al.  Gear fault diagnosis under non-stationary operating mode based on EMD, TKEO, and Shock Detector , 2019 .

[54]  Mohamed Mbarki,et al.  Automatic speech emotion recognition using an optimal combination of features based on EMD-TKEO , 2019, Speech Commun..

[55]  Ashish Ghosh,et al.  Multi-label classification using a cascade of stacked autoencoder and extreme learning machines , 2019, Neurocomputing.

[56]  Omer Faruk Alcin,et al.  Automatic digital modulation classification using extreme learning machine with local binary pattern histogram features , 2019, Measurement.

[57]  Sorina Ropciuc,et al.  Romanian honey authentication using voltammetric electronic tongue. Correlation of voltammetric data with physico-chemical parameters and phenolic compounds , 2019, Comput. Electron. Agric..

[58]  Pedro M. C. Inácio,et al.  Insight into the sensing mechanism of an impedance based electronic tongue for honey botanic origin discrimination , 2019, Sensors and Actuators B: Chemical.

[59]  S. Lemos,et al.  A simple voltammetric electronic tongue for the analysis of coffee adulterations. , 2019, Food chemistry.

[60]  Waleed H. Abdulla,et al.  Honey botanical origin classification using hyperspectral imaging and machine learning , 2020 .

[61]  Esmail Sohouli,et al.  Fabrication of an electrochemical mesalazine sensor based on ZIF-67 , 2020 .

[62]  María José Aliaño-González,et al.  Novel method based on ion mobility spectroscopy for the quantification of adulterants in honeys , 2020 .