E-Nose Application to Food Industry Production

© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Food companies worldwide must constantly engage in product development to stay competitive, cover existing markets, explore new markets, and meet key consumer requirements. This ongoing development places high demands on achieving quality at all levels, particularly in terms of food safety, integrity, quality, nutrition, and other health effects. Food product research is required to convert the initial product idea into a formulation for upscaling production with ensured significant results. Sensory evaluation is an effective component of the whole process. It is especially important in the last step in the development of new products to ensure product acceptance. In that stage, measurements of product aroma play an important role in ensuring that consumer expectations are satisfied. To this end, the electronic nose (e-nose) can be a useful tool to achieve this purpose. The e-nose is a combination of various sensors used to detect gases by generating signals for an analysis system. Our research group has investigated the scent factor in some foodstuff and attempted to develop e-noses based on low-cost technology and compact size. In this paper, we present a summary of our research to date on applications of the e-nose in the food industry.Chilo, J.; Pelegrí Sebastiá, J.; Cupane, M.; Sogorb Devesa, TC. (2016). E-Nose Application to Food Industry Production. IEEE Instrumentation and Measurement Magazine. 19(1):27-33. doi:10.1109/MIM.2016.7384957S273319

Application of MOOSY32 eNose to assess the Effects of Some Post Harvest Treatments on the Quality of "Salustiana" Orange Juice

A new prototype of Electronic Nose instrument, Multisensory Odor Olfactory System MOOSY32, with a processing method based on a multivariate classification analysis was used to assess different postharvest and storage treatments effects to Salustiana oranges. The analysis method is based on the measurement of the volatile compounds produced under different environmental and operational conditions. The Electronic Nose system revealed that orange juice flavor changes even when juices are analyzed right after each treatment and fruits are stored under refrigerated conditions. The instrument was able to detect even small changes in the aromatic pattern of the juices, confirming that the packing line itself is able to cause perceptible changes in the flavor. This can be a new and important finding in the Salustiana orange treatment that can lead to a significant improvement of fruits quality on the markets.Cupane, M.; Pelegrí Sebastiá, J.; Climent, E.; Guarrasi, V.; Sogorb Devesa, TC.; Germana, MA. (2015). Application of MOOSY32 eNose to assess the Effects of Some Post Harvest Treatments on the Quality of "Salustiana" Orange Juice. Journal of Biosensors and Bioelectronics. 6(4). doi:10.4172/2155-6210.1000184S6

A Dual-Band Antenna for RF Energy Harvesting Systems in Wireless Sensor Networks

In this paper, we focus on ambient radio frequency energy available from commercial broadcasting stations in order to provide a system based on RF energy harvesting using a new design of receiving antenna. Several antenna designs have been proposed for use in RF energy harvesting systems, as a pertinent receiving antenna design is highly required since the antenna features can affect the amount of energy harvested. The proposed antenna is aimed at greatly increasing the energy harvesting efficiency over Wi-Fi bands: 2.45GHz and 5GHz. This provides a promising alternative energy source in order to power sensors located in harsh environments or remote places, where other energy sources are impracticable.The dual-band antenna can be easily integrated with RF energy harvesting system on the same circuit board. Simulations and measurements were carried out to evaluate the antenna performances and investigate the effects of different design parameters on the antenna performance.The receiving antenna meets the required bandwidth specification and provides peak gain of more than 4 dBi across the operating band.This work was supported in part by EMMAG Program 2014. The tests have been performed under the collaboration with the Electromagnetic Radiation Laboratory (GRE Lab) of the UPV.Bakkali, A.; Pelegrí Sebastiá, J.; Sogorb Devesa, TC.; Llario Sanjuan, JV.; Bou Escrivà, A. (2016). A Dual-Band Antenna for RF Energy Harvesting Systems in Wireless Sensor Networks. Journal of Sensors. 2016:1-8. doi:10.1155/2016/5725836S182016Sudevalayam, S., & Kulkarni, P. (2011). Energy Harvesting Sensor Nodes: Survey and Implications. IEEE Communications Surveys & Tutorials, 13(3), 443-461. doi:10.1109/surv.2011.060710.00094Bottner, H., Nurnus, J., Gavrikov, A., Kuhner, G., Jagle, M., Kunzel, C., … Schlereth, K.-H. (2004). New thermoelectric components using microsystem technologies. Journal of Microelectromechanical Systems, 13(3), 414-420. doi:10.1109/jmems.2004.828740Hande, A., Polk, T., Walker, W., & Bhatia, D. (2007). Indoor solar energy harvesting for sensor network router nodes. Microprocessors and Microsystems, 31(6), 420-432. doi:10.1016/j.micpro.2007.02.006Alippi, C., & Galperti, C. (2008). An Adaptive System for Optimal Solar Energy Harvesting in Wireless Sensor Network Nodes. IEEE Transactions on Circuits and Systems I: Regular Papers, 55(6), 1742-1750. doi:10.1109/tcsi.2008.922023Mikeka, C., & Arai, H. (2011). Design Issues in Radio Frequency Energy Harvesting System. Sustainable Energy Harvesting Technologies - Past, Present and Future. doi:10.5772/25348Nintanavongsa, P., Muncuk, U., Lewis, D. R., & Chowdhury, K. R. (2012). Design Optimization and Implementation for RF Energy Harvesting Circuits. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2(1), 24-33. doi:10.1109/jetcas.2012.2187106Vyas, R. J., Cook, B. B., Kawahara, Y., & Tentzeris, M. M. (2013). E-WEHP: A Batteryless Embedded Sensor-Platform Wirelessly Powered From Ambient Digital-TV Signals. IEEE Transactions on Microwave Theory and Techniques, 61(6), 2491-2505. doi:10.1109/tmtt.2013.2258168Farinholt, K. M., Park, G., & Farrar, C. R. (2009). RF Energy Transmission for a Low-Power Wireless Impedance Sensor Node. IEEE Sensors Journal, 9(7), 793-800. doi:10.1109/jsen.2009.2022536Md. Din, N., Chakrabarty, C. K., Bin Ismail, A., Devi, K. K. A., & Chen, W.-Y. (2012). DESIGN OF RF ENERGY HARVESTING SYSTEM FOR ENERGIZING LOW POWER DEVICES. Progress In Electromagnetics Research, 132, 49-69. doi:10.2528/pier1207200