Calibration of a Sensor Array (an Electronic Tongue) for Identification and Quantification of Odorants from Livestock Buildings

Sensors - Tập 7 Số 1 - Trang 103-128
Nawaf Abu‐Khalaf1, Jens Iversen1
1Department of Biochemistry and Molecular Biology, University of Southern Denmark, Campusvej 55, DK-5230 Odense M, Denmark

Tóm tắt

This contribution serves a dual purpose. The first purpose was to investigate the possibility of using a sensor array (an electronic tongue) for on-line identification and quantification of key odorants representing a variety of chemical groups at two different acidities, pH 6 and 8. The second purpose was to simplify the electronic tongue by decreasing the number of electrodes from 14, which was the number of electrodes in the prototype. Different electrodes were used for identification and quantification of different key odorants. A total of eight electrodes were sufficient for identification and quantification in micromolar concentrations of the key odorants n-butyrate, ammonium and phenolate in test mixtures also containing iso-valerate, skatole and p-cresolate. The limited number of electrodes decreased the standard deviation and the relative standard deviation of triplicate measurements in comparison with the array comprising 14 electrodes. The electronic tongue was calibrated using 4 different test mixtures, each comprising 50 different combinations of key odorants in triplicates, a total of 600 measurements. Back propagation artificial neural network, partial least square and principal component analysis were used in the data analysis. The results indicate that the electronic tongue has a promising potential as an on- line sensor for odorants absorbed in the bioscrubber used in livestock buildings.

Từ khóa


Tài liệu tham khảo

Schiffman, 2001, Quantification of odors and odorants from swine operations in North Carolina, Agr. Forest Meteorol., 108, 123, 10.1016/S0168-1923(01)00239-8

Powers, 2003, Keeping science in environmental regulations: The role of the animal scientist, J. Dairy Sci., 86, 1045, 10.3168/jds.S0022-0302(03)73688-1

Persaud, 1996, Sensor array techniques for mimicking the mammalian olfactory system, Sens. Actuator B-Chem., 36, 267, 10.1016/S0925-4005(97)80080-9

Sarig, 2000, Potential applications of artificial olfactory sensing for quality evaluation of fresh produce - review, J. Agr. Eng. Res., 77, 239, 10.1006/jaer.2000.0566

Schiffman, 1995, The effect of environmental odors emanating from commercial swine operations on the mood of nearby residents, Brain Res. Bull., 37, 369, 10.1016/0361-9230(95)00015-1

Shareefdeen, Z., and Singh, A. (2005). Biotechnology for odor and air pollution, Springer. Chapter 3.

Hansen, 2000, Bioscrubbing, an effective and economic solution to odour control at wastewater treatment plants, Water Sci. Technol., 41, 155, 10.2166/wst.2000.0105

Shareefdeen, Z., and Singh, A. (2005). Biotechnology for odor and air pollution, Springer. Chapter 16.

Abu-Khalaf, N., Haselmann, K. F., and Iversen, J. J. L. Identification and quantification of odorants in an air wet scrubber using direct aqueous injection-gas chromatography (DAI-GC) and solid phase extraction-gas chromatography (SPE-GC). Submitted for publication.

Shin, 2004, Simple, rapid, and sensitive determination of odorous compounds in water by GC-MS, Chromatographia, 59, 107, 10.1365/s10337-003-0125-4

Kim, 2002, Characterization of wastewater and solids odors using solid phase microextraction at a large wastewater treatment plant, Water Sci. Technol., 46, 9, 10.2166/wst.2002.0277

Razote, 2004, Characterization of volatile organic compounds on airborne dust in a swine finishing barn, Trans. ASAE, 47, 1231, 10.13031/2013.16573

Gostelow, 2001, Odour measurements for sewage treatment works, Water Res., 35, 579, 10.1016/S0043-1354(00)00313-4

Vlasov, 2002, Electronic tongues and their analytical application -review, Anal. Bioanal. Chem., 373, 136, 10.1007/s00216-002-1310-2

Legin, 1997, Tasting of beverages using an electronic tongue, Sens. Actuator B-Chem., 44, 291, 10.1016/S0925-4005(97)00167-6

Legin, 1999, Application of electronic tongue for quantitative analysis of mineral water and wine, Electroanalysis, 11, 814, 10.1002/(SICI)1521-4109(199907)11:10/11<814::AID-ELAN814>3.0.CO;2-7

Turner, 2003, Monitoring batch fermentation with an electronic tongue, J. Biotechnol., 103, 87, 10.1016/S0168-1656(03)00066-X

Legin, 2004, Multicomponent analysis of fermentation growth media using the electronic tongue (ET), Talanta, 64, 766, 10.1016/j.talanta.2004.04.001

Rudnitskaya, 2002, Recognition of liquid and flesh food using an ‘electronic tongue’, Int. J. Food Sci. Technol., 37, 375, 10.1046/j.1365-2621.2002.00576.x

Auger, 2005, Comparison of gas chromatography-mass spectrometry and electronic tongue analysis for the classification of onions and shallots, Int. J. Environ. Anal. Chem., 85, 971, 10.1080/03067310500154452

Gouma, 2004, Novel materials and applications of electronic noses and tongues, MRS Bull., 29, 697, 10.1557/mrs2004.205

Winquist, 2004, Electronic tongues, MRS Bull., 29, 726, 10.1557/mrs2004.210

Soderstrom, 2003, Use of an electronic tongue to analyse mold growth in liquid media, Int. J. Food Microbiolo., 83, 253, 10.1016/S0168-1605(02)00375-6

Philips, 1992, A review of the control of odor nuisance from livestock buildings: part 3, properties of the odorous substances which have been identified in livestock wastes or in the air around, J. Agr. Eng. Res., 53, 23, 10.1016/0021-8634(92)80072-Z

Shareefdeen, Z., and Singh, A. (2005). Biotechnology for odor and air pollution, Springer. Chapter 5.

McNevin, 2000, Biofiltration as an odour abatement strategy, Biochem. Eng. J., 5, 231, 10.1016/S1369-703X(00)00064-4

Pravdova, 2002, Role of chemometrics for electrochemical sensors, Anal. Lett., 35, 2389, 10.1081/AL-120016533

Kirk, R. E., and Othmer, D. F. (1991). Encyclopedia of chemical technology, John Wiley & Sons, Inc.

Le, 2005, Odour from animal production facilities: its relationship to diet, Nutr. Res. Rev., 18, 3, 10.1079/NRR200592

Shareefdeen, Z., and Singh, A. (2005). Biotechnology for odor and air pollution, Springer. Chapter 6.

Squillace, 1997, Review of the environmental behavior and fate of methyl tert-butyl ether, Environ. Toxicol. Chem., 16, 1836

Budavari, S., O'Neil, M. J., Smith, A., Heckelman, P. E., and Kinneary, J. F. (1996). The Merck index: an encyclopedia of chemicals, drugs and biologicals, Merck Research Laboratories.

Syracuse Research Corporation 2005 Interactive PhysProp Database Demo. http://www.syrres.com/esc/physdemo.htm.

Williams, P., and Norris, K. H. (2001). Near Infrared Technology in the Agricultural and Food Industries, American Association of Cereal Chemists. Chapter 8.

Despagne, 1998, Neural networks in multivariate calibration, Analyst, 123, 157R, 10.1039/a805562i

Jurs, 2000, Computational methods for the analysis of chemical sensor array data from volatile analytes, Chem. Rev., 100, 2649, 10.1021/cr9800964

Burns, 1993, Feed-forward neural networks in chemistry - mathematical systems for classification and pattern-recognition, Chem. Rev., 93, 2583, 10.1021/cr00024a001

Richards, 2002, Multivariate data analysis in electroanalytical chemistry -review, Electroanalysis, 14, 1533, 10.1002/1521-4109(200211)14:22<1533::AID-ELAN1533>3.0.CO;2-T

Svozil, 1997, Introduction to multi-layer feed-forward neural networks, Chemom. Intell. Lab. Syst., 39, 43, 10.1016/S0169-7439(97)00061-0

Wold, 2001, PLS-regression: a basic tool of chemometrics, Chemom. Intell. Lab. Syst., 58, 109, 10.1016/S0169-7439(01)00155-1

Dieterle, 2004, Different approaches to multivariate calibration of nonlinear sensor data, Anal. Bioanal. Chem., 380, 383, 10.1007/s00216-004-2652-8

Lammertyn, 2000, Light penetration properties of NIR radiation in fruit with respect to non-destructive quality assessment, Postharvest Biol. Technol., 18, 121, 10.1016/S0925-5214(99)00071-X

Copper, 2004, The use of artificial neural networks for knowledge discovery in bioinformatics, TIBETS, 1, 144

Maier, 1999, Empirical comparison of various methods for training feed-forward neural networks for salinity forecasting, Water Resour. Res., 35, 2591, 10.1029/1999WR900150

NeuralWare (2003). NeuralWorks Predict, The complete solution for neural data modeling, user guide, NeuralWare Inc.

Fearn, 2002, Assessing calibrations: SEP, RPD, PER and R2, NIR news, 13, 12, 10.1255/nirn.689

Arogo, 2003, A review of ammonia emissions from confined swine feeding operations, Trans. ASAE, 46, 805, 10.13031/2013.13597

Vlasov, 2005, Nonspecific sensor arrays (“electronic tongue”) for chemical analysis of liquids (IUPAC Technical Report), Pure Appl. Chem., 77, 1965, 10.1351/pac200577111965

Soderstrom, 2005, Differentiation of four Aspergillus species and one Zygosaccharomyces with two electronic tongues based on different measurement techniques, J. Biotechnol., 119, 300, 10.1016/j.jbiotec.2005.04.017

Shareefdeen, Z., and Singh, A. (2005). Biotechnology for odor and air pollution, Springer. Chapter 8.

Sheridan, 2003, Biofiltration of n-butyric acid for the control of odour, Bioresour. Technol., 89, 199, 10.1016/S0960-8524(03)00045-2

Timmer, 2005, Ammonia sensors and their applications - a review, Sens. Actuator B-Chem., 107, 666, 10.1016/j.snb.2004.11.054