Abstract
Food safety is a multifaceted term and also a predominant element in food and beverage industries. It ensures safe handling, storage, and preparation of food and drinks to prevent food-related illness and diseases. The worldwide significance of food safety is continuously growing. With the advent of new technologies, innovative methods are being developed for the identification, assessment, and monitoring of the foodborne hazards. Great technological advances are being made for the development of electronic nose (e-nose) and electronic tongue (E-tongue)-based sensors for food safety.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Aguilera T, Lozano J, Paredes JA, Alvarez FJ, Suarez JI (2012) Electronic nose based on independent component analysis combined with partial least squares and artificial neural networks for wine prediction. Sensors 12(6):8055–8072
Aheto JH, Huang X, Tian X, Ren Y, Ernest B, Alenyorege EA, Dai C, Hongyang T, Xiaorui Z, Wang P (2020) Multi-sensor integration approach based on hyperspectral imaging and electronic nose for quantitation of fat and peroxide value of pork meat. Anal Bioanal Chem. https://doi.org/10.1007/s00216-019-02345-5
Ampuero S, Bosset J (2003) The electronic nose applied to dairy products: a review. Sens Actuators B 94(1):1–12
Apetrei C (2012) Novel method based on polypyrrole- modified sensors and emulsions for the evaluation of bitterness in extra virgin oils. Food Res Int 48(2):673–680
Apetrei IM, Apetrei C (2013) Voltammetric e- tongue for the quantification of total polyphenol content in olive oils. Food Res Int 54(2):2075–2082
Apetrei C, Ghasemi-Varnamkhasti M, Mirela Apetrei I (2016) Olive oil and combined electronic nose and tongue. In Electronic noses and tongues in food science, pp 277–289.
Bai H, Shi GQ (2007) Gas sensors based on conducting polymers. Sensors 7(3):267–307
Bajpai VK, Kamle M, Shukla S, Mahato DK, Chandra P, Hwang SK, Kumar P, Huh YS, Han YK (2018) Prospects of using nanotechnology for food preservation, safety, and security. J Food Drug Anal 26:1201–1214
Balasubramanian S, Amamcharla J, Shin JE (2016) Possible application of electronic nose systems for meat safety: an overview. In Electronic noses and tongues in food sciences, pp 59–71.
Baskar C, Nesakumar N, Rayappan JBB, Doraipandian M (2017) A framework for analysing E-nose data based on fuzzy set multiple linear regression: Paddy quality assessment. Sens Actuators A Phys 267:200–209
Boeker P (2014) On ‘electronic nose’ methodology. Sens Actuators B 204:2–17
Boskou D (ed) (2006) Olive oil chemistry and technology, 2nd edn. AOCS Press, Champaign, IL
Buratti S, Benedetti S, Giovanelli G (2016) Application of electronic senses to characterize espresso coffees brewed with different thermal profiles. Eur Food Res Technol 243(3):511–520
Buratti S, Malegori C, Benedetti S, Oliveri P (2018) E-nose, e-tongue and e-eye for edible olive oil characterization and shelf life assessment: a powerful data fusion approach. Talanta 182:131–141
Carolina Torres A, Barsan MM, Brett CMA (2014) Simple electrochemicalsensor for caffeine based on carbon and Nafion-modified carbon electrodes. Food Chem 149:215–220
Casio MS, Ballabio D, Benedetti S, Gigliotti C (2007) Evaluation of different storage conditions of extra virgin olive oils with an innovative recognition tool built by means of electronic nose and electronic tongue. Food Chem 101(2):485–491
Chandra P (2016) Nanobiosensors for personalized and onsite biomedical diagnosis. In Nanobiosensors for personalized and onsite biomedical diagnosis.
Cheeke JDN, Wang Z (1999) Acoustic wave gas sensors. Sens Actuators B 59(2–3):146–153
Chodavarapu VP, Shubin DO, Bukowski RM, Titus AH, Cartwright AN, Bright FV (2007) CMOS based phase fluorometric oxygen sensor system. IEEE Trans Circuits Syst I: Regul Pap 54(1):111–118
Ciosek P, Wróblewski W (2007) Sensor arrays for liquid sensing—electronic tongue systems. Analyst 132:963–978
Craven MA, Gardner JW, Bartlett PN (1996) Electronic noses-development and future prospects. Trends Anal Chem 15(9):486–493
Dutta R, Hines EL, Gardner JW, Kashwan KR, Bhuyan M (2003) Tea quality prediction using a tin oxide-based electronic nose: an artificial intelligence approach. Sens Actuators B 94:228–237
Dymerski TM, Chmiel TM, Wardencki W (2011) Invited review article: an odor-sensing system-powerful technique for foodstuff studies. Rev Sci Instrum 82(11):111101
Esfahani S, Covington JA (2017) Low cost optical electronic nose for biomedical applications. Proceedings 1(4):589
Feng H, Zhang M, Liu P, Liu Y, Zhang X (2020) Evaluation of IoT-enabled monitoring and electronic nose spoilage detection for salmon freshness during cold storage. Food 9(11):1579
Ghasemi-Varnamkhasti M, Mohtasebi SS, Siadat M, Razavi SH, Ahmadi H, Dicko A (2012) Discriminatory power assessment of the sensor array of an electronic nose system for the detection of non-alcoholic beer aging. Czech J Food Sci 30:236–240
Gila DMM, Garcia JG, Bellincontro A, Mencarelli F, Ortega JG (2020) Fast tool based on electronic nose to predict olive fruit quality after harvest. Postharvest Biol Technol 160:111058
Giungato P, Laiola E, Nicolardi V (2017) Evaluation of industrial roasting degree of coffee beans by using an electronic nose and a stepwise backward selection of predictors. Food Anal Methods 10(10):3424–3433
Gliszczynska-Swiglo A, Chmielewski J (2017) Electronic nose as a tool for monitoring the authenticity of food: a review. Food Anal Methods 10:1800–1816
Haddi Z, Alami H, Bari NE, Tounsi M, Barhoumi H, Maaref M, Jaffrezic-Renault N, Bouchikhi B (2013) Electronic nose and tongue combination for improved classification of Moroccan virgin olive oil profiles. Food Res Int 54(2):1488–1498
Han F, Huang X, Aheto JH, Zhang D, Feng F (2020) Detection of beef adulterated with pork using a low-cost electronic nose based on colorimetric sensors. Foods 9(2):193
Huang XH, Bai QS, Hu JG, Hou D (2017) A practical model of quartz crystal microbalance in actual applications. Sensors 17(8):1785
Ismaila I, Hwang YH, Joo ST (2020) Low-temperature and long-time heating regimes on non-volatile compound and taste traits of beef assessed by the electronic tongue system. Food Chem 320:126656
Jiang H, Zhang M, Bhandaric B, Adhikari B (2018) Application of electronic tongue for fresh foods quality evaluation: a review. Food Rev Intl. https://doi.org/10.1080/87559129.2018.1424184
Karakaya D, Ulucan O, Turkan M (2020) Electronic nose and its applications: a survey. Int J Autom Comput. https://doi.org/10.1007/s11633-019-1212-9
Khoo WYH, Pumera M, Bonanni A (2013) Graphene platforms for the detection of caffeine in real samples. Anal Chim Acta 804:92–97
Kim HJ, Lee JH (2014) Highly sensitive and selective gas sensors using p-type oxide semiconductors: Overview. Sens Actuators B 192:607–627
Laref R, Losson E, Sava A, Adjallah K, Siadat M (2018) A comparison between SVM and PLS for E-nose based gas concentration monitoring. In Proceedings of IEEE International Conference on Industrial Technology, IEEE, Lyon, France, pp 1335–1339
Leal RV, Quiming AXC, Villaverde JF, Yumang AN, Linsangan NB, Caya MVC (2019) Determination of schizophrenia using electronic nose via support vector machine. In Proceedings of the 9th International Conference on Biomedical Engineering and Technology, ACM, Tokyo, Japan, pp 13–17
LeCun Y, Bengio Y, Hinton G (2015) Deep learning. Nature 521(7553):436–444
Liu X, Cheng ST, Liu H, Hu S, Zhang DQ, Ning HS (2012) A survey on gas sensing technology. Sensors 12(7):9635–9665
Marek G, Dobrzanski B, Oniszczuk T, Combrzynski M, Cwikla D, Rusinek R (2020) Detection and differentiation of volatile compound profiles in roasted coffee arabica beans from different countries using an electronic nose and GC-MS. Sensors 20(7):2124
Mersal GM (2012) Experimental and computational studies on the electrochemical oxidation of caffeine at pseudo carbon paste electrode and its voltammetric determination in different real samples. Food Anal Methods 5:520–529
Paup VD, Barnett SM, Diako C, Ross CF (2019) Detection of spicy compounds using the electronic tongue. J Food Sci. https://doi.org/10.1111/1750-3841.14709
Purohit B, Kumar A, Mahato K, Chandra P (2020a) Electrodeposition of metallic nanostructures for biosensing applications in health care. J Sci Res. https://doi.org/10.37398/jsr.2020.640109
Purohit B, Vernekar PR, Shetti NP, Chandra P (2020b) Biosensor nanoengineering: design, operation, and implementation for biomolecular analysis. Sensors Int 1:100040
Qi PF, Meng QH, Zeng M (2017) A CNN-based simplified data processing method for electronic noses. In Proceedings of ISOCS/IEEE International Symposium on Olfaction and Electronic Nose, IEEE, Montreal, Canada, pp 1–3
Rodrigues N, Dias LG, Veloso ACA, Pereira JA, Peres AM (2016) Monitoring olive oils quality and oxidative resistance during storage using an electronic tongue. LWT 73:683–692
Romani S, Cevoli C, Fabbri A, Alessandrini L, Dalla Rosa M (2012) Evaluation of coffee roasting degree by using electronic nose and artificial neural network for off-line quality control. J Food Sci 77(9):C960–C965
de Santos WJR, Santhiago M, Yoshida IVP, Kubota LT (2011) Novel electrochemical sensor for the selective recognition of chlorogenic acid. Anal Chim Acta 695(1-2):44–50
Tang CT, Huang CM, Tang KT, Chen H (2015) A scalable and adaptable probabilistic model embedded in an electronic nose for intelligent sensor fusion. In Proceedings of IEEE Biomedical Circuits and Systems Conference, IEEE, Atlanta, USA
Teixeira GG, Dias LG, Rodrigues N, Marx IMG, Veloso ACA, Pereira A, Peres AM (2021) Application of a lab-made electronic nose for extra virgin olive oils commercial classification according to the perceived fruitiness intensity. Talanta 226:122122
Thazin Y, Pobkrut T, Kerdcharoen T (2018) Prediction of acidity levels of fresh roasted coffees using e-nose and artificial neural network. In Proceedings of the 10th International Conference on Knowledge and Smart Technology, IEEE, Chiang Mai, Thailand, pp 210–215
Tian XJ, Wang J, Cui SQ (2013) Analysis of pork adulteration in minced mutton using electronic nose of metal oxide sensors. J Food Eng 119(4):744–749
Turner NW, Bloxham M, Piletsky SA, Whitcombe MJ, Chianella I (2017) The use of a quartz crystal microbalance as an analytical tool to monitor particle/surface and particle/particle interactions under dry ambient and pressurized conditions: A study using common inhaler components. Analyst 142(1):229–236
Tyszczuk-Rotko K, Beczkowska I (2015) Nafion covered lead film electrode for the voltammetric determination of caffeine in beverage samples and pharmaceutical formulations. Food Chem 172:24–29
Vlasov Y, Legin A, Rudnitskaya A, Di Natale C, D’amico A (2005) Nonspecific sensor arrays (“electronic tongue”) for chemical analysis of liquids (IUPAC Technical Report). Pure Appl Chem 77(11):1965–1983
Wang CX, Yin LW, Zhang LY, Xiang D, Gao R (2010) Metal oxide gas sensors: sensitivity and influencing factors. Sensors 10(3):2088–2106
Wei ZB, Xiao XZ, Wang J, Wang H (2017) Identification of the rice wines with different marked ages by electronic nose coupled with smartphone and cloud storage platform. Sensor 17(11):2500
Wijaya DR, Sarno R, Zulaika E (2021) DWTLSTM for electronic nose signal processing in beef quality monitoring. Sens Actuators B 326:128931
Winquist F, Krantz-Rülcker C, Wide P, Lundström I (1998) Monitoring of freshness of milk by an electronic tongue on the basis of voltammetry. Meas Sci Technol 9:1937
Xu M, Wang J, Zhu L (2019) The qualitative and quantitative assessment of tea quality based on E-nose, E-tongue and E-eye combined with chemometrics. Food Chem 289:482–489
Yan MY, Lu YQ, Chen DW (2015) Application of electronic nose in freshness evaluation of tilapia fillets as affected by ozone treatment. Food Sci Technol 36:265–269
Yin X, Lv Y, Wen R, Wang Y, Chen Q, Kong B (2021) Characterization of selected Harbin red sausages on the basis of their flavour profiles using HS-SPME-GC/MS combined with electronic nose and electronic tongue. Meat Sci 172:108345
Zaukuu JLZ, Gillay Z, Kovacs Z (2021) Standardized extraction techniques for meat analysis with the electronic tongue: a case study of poultry and red meat adulteration. Sensors 21(2):481
Zhang L, Hu Y, Wang Y, Kong B, Chen Q (2021) Evaluation of the flavour properties of cooked chicken drumsticks as affected by sugar smoking times using an electronic nose, electronic tongue, and HS-SPME/GC-MS. LWT 140:110764
Zou Y, Wan H, Zhang X, Ha D, Wang P (2015) Electronic nose and electronic tongue. In Bioinspired smell and taste sensors, pp 19–44. https://doi.org/10.1007/978-94-017-7333-1_2
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Kaur, G., Bhari, R., Kumar, K. (2022). Electronic Noses and Tongue-Based Sensor Systems in Food Science. In: Chandra, P., Panesar, P.S. (eds) Nanosensing and Bioanalytical Technologies in Food Quality Control. Springer, Singapore. https://doi.org/10.1007/978-981-16-7029-9_13
Download citation
DOI: https://doi.org/10.1007/978-981-16-7029-9_13
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-7028-2
Online ISBN: 978-981-16-7029-9
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)