Electronic nose and electronic mucosa as innovative instruments for real-time monitoring of food dryers

A crucial aspect of drysing process is monitoring of product moisture content, nutritional value, and sensorial characteristics. This viewpoint paper considers the challenges and the opportunities in application of electronic nose and electronic mucosa as innovative instruments in drying technology in order to improve the final food quality. Electronic nose is reliable and easy to use tool in actual drying conditions. Nonetheless, the electronic mucosa, imitates nasal chromatograph effect, can provide more useful information leading to higher level of recognition than the existing electronic nose systems. Perspectives and potential employment of such tools are discussed as well.

[1]  Lei Zhang,et al.  On-line sensor calibration transfer among electronic nose instruments for monitoring volatile organic chemicals in indoor air quality , 2011 .

[2]  R. P. Wali,et al.  An Electronic Nose to Differentiate Aromatic Flowers using a Real-Time Information-Rich Piezoelectric Resonance Measurement , 2012 .

[3]  Zhenfeng Li,et al.  Real-time, volatile-detection-assisted control for microwave drying , 2009 .

[4]  Ray Marsili,et al.  Techniques for analyzing food aroma , 1997 .

[5]  Shankar Vembu,et al.  Chemical gas sensor drift compensation using classifier ensembles , 2012 .

[6]  Mortaza Aghbashlo,et al.  A review on exergy analysis of drying processes and systems , 2013 .

[7]  Mahdi Ghasemi-Varnamkhasti,et al.  Electronic and bioelectronic tongues, two promising analytical tools for the quality evaluation of non alcoholic beer , 2011 .

[8]  Mahmoud Omid,et al.  Prediction of Energy and Exergy of Carrot Cubes in a Fluidized Bed Dryer by Artificial Neural Networks , 2011 .

[9]  Manuel Aleixandre,et al.  Detection of Iberian ham aroma by a semiconductor multisensorial system. , 2003, Meat Science.

[10]  Gennaro Gentile,et al.  Microstructure and olfactory quality of apples de-hydrated by innovative technologies , 2013 .

[11]  Alexander Vergara,et al.  Algorithmic mitigation of sensor failure: is sensor replacement really necessary? , 2013 .

[12]  Arun S. Mujumdar Control of Industrial Dryers , 2006 .

[13]  Arnaldo D'Amico,et al.  Electronic noses calibration procedure in the context of a multicentre medical study , 2012 .

[14]  Rajeshuni Ramesham,et al.  Electronic nose for space program applications. , 2003, Sensors and actuators. B, Chemical.

[15]  James A. Covington,et al.  An electronic nose employing dual-channel odour separation columns with large chemosensor arrays for advanced odour discrimination , 2009 .

[16]  Giovanni Squillero,et al.  Increasing pattern recognition accuracy for chemical sensing by evolutionary based drift compensation , 2011, Pattern Recognit. Lett..

[17]  Mahdi Ghasemi-Varnamkhasti,et al.  NIR spectroscopy coupled with multivariate computational tools for qualitative characterization of the aging of beer , 2014 .

[18]  F. Mencarelli,et al.  Use of electronic nose, validated by GC–MS, to establish the optimum off-vine dehydration time of wine grapes , 2012 .

[19]  N. Bârsan,et al.  Electronic nose: current status and future trends. , 2008, Chemical reviews.

[20]  K. Tang,et al.  A bio-inspired two-layer multiple-walled carbon nanotube-polymer composite sensor array and a bio-inspired fast-adaptive readout circuit for a portable electronic nose. , 2011, Biosensors & bioelectronics.

[21]  Mahdi Ghasemi-Varnamkhasti,et al.  Biomimetic-based odor and taste sensing systems to food quality and safety characterization: An overview on basic principles and recent achievements , 2010 .

[22]  Fengchun Tian,et al.  A rapid discreteness correction scheme for reproducibility enhancement among a batch of MOS gas sensors , 2014 .

[23]  G. Downey,et al.  Recent technological advances for the determination of food authenticity , 2006 .

[24]  Liping Du,et al.  Olfactory mucosa tissue-based biosensor: A bioelectronic nose with receptor cells in intact olfactory epithelium , 2010 .

[25]  Mortaza Aghbashlo,et al.  Energy and Exergy Analyses of Thin-Layer Drying of Potato Slices in a Semi-Industrial Continuous Band Dryer , 2008 .

[26]  José Pedro Santos,et al.  Enrichment sampling methods for wine discrimination with gas sensors , 2008 .

[27]  Alexandre Perera,et al.  Drift compensation of gas sensor array data by Orthogonal Signal Correction , 2010 .

[28]  Mahdi Ghasemi-Varnamkhasti,et al.  Measurement and evaluation of the apparent modulus of elasticity of apple based on Hooke’s, Hertz’s and Boussinesq’s theories , 2014 .

[29]  M.A. Ryan,et al.  Monitoring Space Shuttle air quality using the Jet Propulsion Laboratory electronic nose , 2004, IEEE Sensors Journal.

[30]  Massimo Riani,et al.  Monitoring reliability of sensors in an array by neural networks , 2000 .

[31]  G.S.V. Raghavan,et al.  Effects of Microwave-Assisted Hot Air Drying and Conventional Hot Air Drying on the Drying Kinetics, Color, Rehydration, and Volatiles of Moringa oleifera , 2011 .

[32]  Po-Chiang Chen,et al.  Chemical Sensors and Electronic Noses Based on 1-D Metal Oxide Nanostructures , 2008, IEEE Transactions on Nanotechnology.

[33]  Amadou Dicko,et al.  Aging fingerprint characterization of beer using electronic nose , 2011 .

[34]  Masaki Kanamori,et al.  Identification of coumarin-enriched Japanese green teas and their particular flavor using electronic nose , 2009 .

[35]  R. Huerta,et al.  Sensor failure mitigation based on multiple kernels , 2012, 2012 IEEE Sensors.

[36]  Philip Drake,et al.  Real-time electronic nose based pathogen detection for respiratory intensive care patients , 2010 .

[37]  Marcel Bruins,et al.  Enabling a transferable calibration model for metal-oxide type electronic noses , 2013 .

[38]  Rami Jumah,et al.  Control of Industrial Dryers , 2006 .

[39]  M. Padilla,et al.  Poisoning fault diagnosis in chemical gas sensor arrays using multivariate statistical signal processing and structured residuals generation , 2007, 2007 IEEE International Symposium on Intelligent Signal Processing.

[40]  Ning Wang,et al.  Carrot volatiles monitoring and control in microwave drying , 2010 .

[41]  Zhenfeng Li,et al.  Control of Microwave Drying Process Through Aroma Monitoring , 2010 .

[42]  James A. Covington,et al.  Applying Convolution‐Based Processing Methods To A Dual‐Channel, Large Array Artificial Olfactory Mucosa , 2009 .

[43]  Gian Carlo Cardinali,et al.  Selectivity enhancement of metal oxide gas sensors using a micromachined gas chromatographic column , 2005 .

[44]  R. Infante,et al.  Effect of drying process on lemon verbena (Lippia citrodora Kunth) aroma and infusion sensory quality , 2009 .

[45]  M. Peris,et al.  A 21st century technique for food control: electronic noses. , 2009, Analytica chimica acta.

[46]  E. Massera,et al.  On field calibration of an electronic nose for benzene estimation in an urban pollution monitoring scenario , 2008 .

[47]  Pere Caminal,et al.  Drift Compensation of Gas Sensor Array Data by Common Principal Component Analysis , 2010 .

[48]  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.

[49]  A. Kolmakov,et al.  Some recent trends in the fabrication, functionalisation and characterisation of metal oxide nanowire gas sensors , 2008 .

[50]  Manuele Bernabei,et al.  Design of a very large chemical sensor system for mimicking biological olfaction , 2010 .

[51]  Zongyu Geng,et al.  Optimum design of sensor arrays via simulation-based multivariate calibration , 2011 .

[52]  M. C. Horrillo,et al.  Advances in artificial olfaction: sensors and applications. , 2014, Talanta.

[53]  Mortaza Aghbashlo,et al.  The use of artificial neural network to predict exergetic performance of spray drying process: A preliminary study , 2012 .

[54]  Qingjun Liu,et al.  A novel bioelectronic nose based on brain-machine interface using implanted electrode recording in vivo in olfactory bulb. , 2013, Biosensors & bioelectronics.

[55]  Arun S. Mujumdar,et al.  An overview of innovation in industrial drying: current status and R&D needs , 2007 .

[56]  Qingjun Liu,et al.  Olfactory Mucosa Tissue Based Biosensor for Bioelectronic Nose , 2009 .

[57]  Alexander Vergara,et al.  On the calibration of sensor arrays for pattern recognition using the minimal number of experiments , 2014 .

[58]  José Pedro Santos,et al.  Electronic nose for wine ageing detection , 2008 .

[59]  A. Schutze,et al.  A self-monitoring and self-diagnosis strategy for semiconductor gas sensor systems , 2008, 2008 IEEE Sensors.

[60]  Julian W. Gardner,et al.  Portable e-Mucosa System: Mimicking the biological olfactory , 2009 .

[61]  A. Mujumdar Handbook of Industrial Drying , 2020 .

[62]  F.K. Che Harun,et al.  Mimicking the biological olfactory system: a Portable electronic Mucosa. , 2012, IET nanobiotechnology.

[63]  James K. Drennen Quality by Design—What Does it Really Mean? , 2007, Journal of Pharmaceutical Innovation.

[64]  Saeid Minaei,et al.  Potential application of machine vision to honey characterization , 2013 .

[65]  S.L. Tan,et al.  Enhanced Discrimination of Complex Odours Based upon Spatio-Temporalsignals from a Micro-Mucosa , 2007, TRANSDUCERS 2007 - 2007 International Solid-State Sensors, Actuators and Microsystems Conference.

[66]  Rishemjit Kaur,et al.  Enhancing electronic nose performance: A novel feature selection approach using dynamic social impact theory and moving window time slicing for classification of Kangra orthodox black tea (Camellia sinensis (L.) O. Kuntze) , 2012 .

[67]  Zhenfeng Li,et al.  Control of microwave drying process through aroma monitoring , 2008 .

[68]  Michael Bruns,et al.  Enhancing the gas selectivity of single-crystal SnO2:Pt thin-film chemiresistor microarray by SiO2 membrane coating , 2013 .

[69]  Li Kun Wang,et al.  Development of a visiometric process analyzer for real-time monitoring of bottom spray fluid-bed coating. , 2010, Journal of pharmaceutical sciences.