On the feasibility of metal oxide gas sensor based electronic nose software modification to characterize rice ageing during storage

Journal of Food Engineering

Volumn 245, Issue , 2019, Pages 1-10

  Rahimzadeh, Hassan ^a   Sadeghi, Morteza ^a   Ghasemi Varnamkhasti, Mahdi ^b   Mireei, Seyed Ahmad ^a   Tohidi, Mojtaba ^b  

^a ISFAHAN UNIVERSITY OF TECHNOLOGY   (Iran)

^b SHAHREKORD UNIVERSITY   (Iran)

Author keywords

Electronic nose; Feature extraction; Pattern recognition; Rice aging; Sensor array

Indexed keywords

AROMATIC COMPOUNDS; AROMATIZATION; BACKPROPAGATION; CURVE FITTING; FEATURE EXTRACTION; FOOD STORAGE; METALS; ODORS; PATTERN RECOGNITION; POLYNOMIAL APPROXIMATION; PRINCIPAL COMPONENT ANALYSIS; RADIAL BASIS FUNCTION NETWORKS; SENSOR ARRAYS; VOLATILE ORGANIC COMPOUNDS;

ADSORPTION AND DESORPTIONS; ELECTRONIC NOSE (E-NOSE); LEARNING VECTOR QUANTIZATION; METAL OXIDE GAS SENSORS; POLYNOMIAL CURVE FITTING; RADIAL BASIS FUNCTION(RBF); SOFTWARE MODIFICATION; STEADY STATE AND TRANSIENTS;

ELECTRONIC NOSE;

EID: 85056181916     PISSN: 02608774     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jfoodeng.2018.10.001     Document Type: Article

References (36)

1. Abdullah, A., Rahim, N., Masnan, M., Sa'ad, F., Zakaria, A., Shakaff, A., Omar, O., Rice and the Electronic Nose, Electronic Noses And Tongues In Food Science. 2016, Elsevier, 103–113.
2. Baskar, C., Nesakumar, N., Rayappan, J.B.B., Doraipandian, M., A framework for analysing E-Nose data based on fuzzy set multiple linear regression: paddy quality assessment. Sensor Actuator Phys. 267 (2017), 200–209.
3. Brudzewski, K., Ulaczyk, J., An effective method for analysis of dynamic electronic nose responses. Sensor. Actuator. B Chem. 140:1 (2009), 43–50.
4. Champagne, E.T., Review. Rice aroma and flavor: a literature review. Cereal Chem. 85:4 (2008), 445–454.
5. Chuang, Y.-K., Hu, Y.-P., Yang, I.C., Delwiche, S.R., Lo, Y.M., Tsai, C.-Y., Chen, S., Integration of independent component analysis with near infrared spectroscopy for evaluation of rice freshness. J. Cereal. Sci. 60:1 (2014), 238–242.
6. Daqi, G., Shuyan, W., Yan, J., An electronic nose and modular radial basis function network classifiers for recognizing multiple fragrant materials. Sensor. Actuator. B Chem. 97:2–3 (2004), 391–401.
7. Distante, C., Leo, M., Siciliano, P., Persaud, K.C., On the study of feature extraction methods for an electronic nose. Sensor. Actuator. B Chem. 87:2 (2002), 274–288.
8. Du, M., Fang, Y., Shen, F., Mao, B., Zou, Y., Li, P., Pei, F., Hu, Q., Multiangle discrimination of geographical origin of rice based on analysis of mineral elements and characteristic volatile components. Int. J. Food Sci. Technol. 53:9 (2018), 2088–2096.
9. Ghasemi-Varnamkhasti, M., Amiri, Z.S., Tohidi, M., Dowlati, M., Mohtasebi, S.S., Silva, A.C., Fernandes, D.D.S., Araujo, M.C.U., Differentiation of cumin seeds using a metal-oxide based gas sensor array in tandem with chemometric tools. Talanta 176:Suppl. C (2018), 221–226.
10. Ghasemi-Varnamkhasti, M., Mohtasebi, S.S., Rodriguez-Mendez, M.L., Lozano, J., Razavi, S.H., Ahmadi, H., Apetrei, C., Classification of non-alcoholic beer based on aftertaste sensory evaluation by chemometric tools. Expert Syst. Appl. 39:4 (2012), 4315–4327.
11. Griglione, A., Liberto, E., Cordero, C., Bressanello, D., Cagliero, C., Rubiolo, P., Bicchi, C., Sgorbini, B., High-quality Italian rice cultivars: chemical indices of ageing and aroma quality. Food Chem. 172 (2015), 305–313.
12. Guan, B., Zhao, J., Jin, H., Lin, H., Determination of rice storage time with colorimetric sensor array. Food Analytical Methods 10:4 (2017), 1054–1062.
13. Hachiya, M., Asanome, N., Goto, T., Noda, T., Fluorescence imaging with UV-excitation for evaluating freshness of rice. Jpn. Agric. Res. Q. 43:3 (2009), 193–198.
14. Han, H.J., Lee, S.H., Moon, J.Y., Park, S., Dong, H., Noh, B.S., Discrimination of the cultivar, growing region, and geographical origin of rice (Oryza sativa) using a mass spectrometer-based electronic nose. Food Science and Biotechnology 25:3 (2016), 695–700.
15. Jiang, S., Wang, J., Internal quality detection of Chinese pecans (Carya cathayensis) during storage using electronic nose responses combined with physicochemical methods. Postharvest Biol. Technol. 118 (2016), 17–25.
16. Koyachi, E., Kojima, K., Qiu, X., Satake, T., Suzuki, H., Electrochemical microdevice for on-site determination of rice freshness. Biosens. Bioelectron. 42 (2013), 640–645.
17. Laohakunjit, N., Kerdchoechuen, O., Aroma enrichment and the change during storage of non-aromatic milled rice coated with extracted natural flavor. Food Chem. 101:1 (2006), 339–344.
18. Llobet, E., Brezmes, J., Vilanova, X., Sueiras, J.E., Correig, X., Qualitative and quantitative analysis of volatile organic compounds using transient and steady-state responses of a thick-film tin oxide gas sensor array. Sensor. Actuator. B Chem. 41:1–3 (1997), 13–21.
19. Mikami, T., Kawakami, K., Ochi, T., (2006). Method of Measuring Freshness of Cereals and Beans and Appratus Therefor. Google Patents.
20. Nisbet, R., Elder, J., Miner, G., Basic Algorithms for Data Mining: a Brief Overview. Handbook of Statistical Analysis and Data Mining Applications. 2009, 121–150.
21. Paule, C.M., Powers, J.J., Sensory and chemical examination of aromatic and nonaromatic rices. J. Food Sci. 54:2 (1989), 343–346.
22. Qiu, S., Gao, L., Wang, J., Classification and regression of ELM, LVQ and SVM for E-nose data of strawberry juice. J. Food Eng. 144 (2014), 77–85.
23. Ritaban, D., Evor, L.H., Julian, W.G., Dociana, D.U., Pascal, B., Non-destructive egg freshness determination: an electronic nose based approach. Meas. Sci. Technol., 14(2), 2003, 190.
24. Sanaeifar, A., ZakiDizaji, H., Jafari, A., de la Guardia, M., Early detection of contamination and defect in foodstuffs by electronic nose: a review. Trac. Trends Anal. Chem. 97 (2017), 257–271.
25. Srikaeo, K., Panya, U., Efficiencies of chemical techniques for rice grain freshness analysis. Rice Sci. 20:4 (2013), 292–297.
26. Sung, J., Kim, B.-K., Kim, B.-S., Kim, Y., Mass spectrometry-based electric nose system for assessing rice quality during storage at different temperatures. J. Stored Prod. Res. 59 (2014), 204–208.
27. Tananuwong, K., Malila, Y., Changes in physicochemical properties of organic hulled rice during storage under different conditions. Food Chem. 125:1 (2011), 179–185.
28. Timsorn, K., Lorjaroenphon, Y., Wongchoosuk, C., Identification of adulteration in uncooked Jasmine rice by a portable low-cost artificial olfactory system. Measurement 108 (2017), 67–76.
29. Tohidi, M., Ghasemi-Varnamkhasti, M., Ghafarinia, V., Mohtasebi, S.S., Bonyadian, M., Identification of trace amounts of detergent powder in raw milk using a customized low-cost artificial olfactory system: a novel method. Measurement 124 (2018), 120–129.
30. Tudu, B., Jana, A., Metla, A., Ghosh, D., Bhattacharyya, N., Bandyopadhyay, R., Electronic nose for black tea quality evaluation by an incremental RBF network. Sensor. Actuator. B Chem. 138:1 (2009), 90–95.
31. Udomkun, P., Innawong, B., Niruntasuk, K., The feasibility of using an electronic nose to identify adulteration of Pathumthani 1 in Khaw Dok Mali 105 rice during storage. J. Food Meas. Char., 2018, 1–9.
32. Wongpornchai, S., Dumri, K., Jongkaewwattana, S., Siri, B., Effects of drying methods and storage time on the aroma and milling quality of rice (Oryza sativa L.) cv. Khao Dawk Mali 105. Food Chem. 87:3 (2004), 407–414.
33. Wongsaipun, S., Krongchai, C., Jakmunee, J., Kittiwachana, S., Rice grain freshness measurement using rapid visco analyzer and chemometrics. Food Anal. Methods 11:2 (2018), 613–623.
34. Xu, S., Zhou, Z., Li, K., Jamir, S.M., Luo, X., Recognition of the duration and prediction of insect prevalence of stored rough rice infested by the red flour beetle (Tribolium castaneum Herbst) using an electronic Nose. Sensors, 17(4), 2017, 688.
35. Zhang, S., Xie, C., Zeng, D., Zhang, Q., Li, H., Bi, Z., A feature extraction method and a sampling system for fast recognition of flammable liquids with a portable E-nose. Sensor. Actuator. B Chem. 124:2 (2007), 437–443.
36. Zhou, Z., Wang, X., Si, X., Blanchard, C., Strappe, P., The ageing mechanism of stored rice: a concept model from the past to the present. J. Stored Prod. Res. 64 (2015), 80–87.