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Volumn 41, Issue 17, 2008, Pages 3113-3123

Broad-range optical pH sensor based on binary mixed-indicator doped sol-gel film and application of artificial neural network

Author keywords

Artificial neural network; Bromocresol green; m cresol purple; pH optical sensor; Sol gel

Indexed keywords


EID: 57649129661     PISSN: 00032719     EISSN: 1532236X     Source Type: Journal    
DOI: 10.1080/00032710802463071     Document Type: Article
Times cited : (25)

References (25)
  • 1
    • 0000214787 scopus 로고    scopus 로고
    • Doped thin-film sensors via a sol-gel process for high-acidity determination
    • Allain, L.R., Sorasaenee, K., and Xue, Z. 1997. Doped thin-film sensors via a sol-gel process for high-acidity determination. Anal. Chem., 69: 3076-3070.
    • (1997) Anal. Chem , vol.69 , pp. 3076-3070
    • Allain, L.R.1    Sorasaenee, K.2    Xue, Z.3
  • 6
    • 0000860232 scopus 로고    scopus 로고
    • Simple absorption optical fiber pH sensor based on doped sol-gel cladding material
    • Ben-David, O., Sharr, E., Gilath, I., Prior, Y., and Avnir, D. 1997. Simple absorption optical fiber pH sensor based on doped sol-gel cladding material. Chem. Mater., 9: 2255-2259.
    • (1997) Chem. Mater , vol.9 , pp. 2255-2259
    • Ben-David, O.1    Sharr, E.2    Gilath, I.3    Prior, Y.4    Avnir, D.5
  • 7
    • 0004258023 scopus 로고
    • Oxford: Pergamon Press
    • Bishop, E. 1972. Indicators. Oxford: Pergamon Press.
    • (1972) Indicators
    • Bishop, E.1
  • 8
    • 0032049354 scopus 로고    scopus 로고
    • Leaching in sol-gel-derived silica films for optical pH sensing
    • Butler, T.M., MacCraith, B.D., and McDonagh, C. 1998. Leaching in sol-gel-derived silica films for optical pH sensing. J. Non-Cryst. Solids, 224: 249-258.
    • (1998) J. Non-Cryst. Solids , vol.224 , pp. 249-258
    • Butler, T.M.1    MacCraith, B.D.2    McDonagh, C.3
  • 9
    • 0042199118 scopus 로고    scopus 로고
    • Neural networks: Accurate nonlinear QSAR model for HEPT derivatives
    • Douali, L., Villemin, D., and Cherqaoui, D. 2003. Neural networks: Accurate nonlinear QSAR model for HEPT derivatives. J. Chem. Inf. Comput. Sci., 43: 1200-1207.
    • (2003) J. Chem. Inf. Comput. Sci , vol.43 , pp. 1200-1207
    • Douali, L.1    Villemin, D.2    Cherqaoui, D.3
  • 10
    • 0006546827 scopus 로고
    • Howe-Grant, M, Ed, 4th ed. New York: Wiley
    • Howe-Grant, M. (Ed.). 1995. Encyclopedia of Chemical Technology, 4th ed. New York: Wiley, vol. 13, p. 894.
    • (1995) Encyclopedia of Chemical Technology , vol.13 , pp. 894
  • 12
    • 12844286268 scopus 로고    scopus 로고
    • Correlation ranking procedure for factor selection in PC-ANN modeling and application to ADMETox evaluation
    • Hemmateenejad, B. 2005. Correlation ranking procedure for factor selection in PC-ANN modeling and application to ADMETox evaluation. Chemomet. Intell. Lab. Systems, 75: 231-245.
    • (2005) Chemomet. Intell. Lab. Systems , vol.75 , pp. 231-245
    • Hemmateenejad, B.1
  • 13
    • 0042781547 scopus 로고    scopus 로고
    • Application of ab initio theory for the prediction of acidity constants of some 1-hydroxy-9,10-anthraquinone derivatives using genetic neural network
    • Hemmateenejad, B., Safarpour, M.A., and Taghavi, F. 2003. Application of ab initio theory for the prediction of acidity constants of some 1-hydroxy-9,10-anthraquinone derivatives using genetic neural network. J. Mol. Struct. (Theochem.), 635: 183-190.
    • (2003) J. Mol. Struct. (Theochem.) , vol.635 , pp. 183-190
    • Hemmateenejad, B.1    Safarpour, M.A.2    Taghavi, F.3
  • 14
    • 18544386229 scopus 로고    scopus 로고
    • Phenol red immobilized PVA membrane for an optical pH sensor with two determination ranges and long-term stability
    • Liu, Z., Liu, J., and Chen, T. 2005. Phenol red immobilized PVA membrane for an optical pH sensor with two determination ranges and long-term stability. Sens. Actuators B, 107: 311-316.
    • (2005) Sens. Actuators B , vol.107 , pp. 311-316
    • Liu, Z.1    Liu, J.2    Chen, T.3
  • 17
    • 18544373847 scopus 로고    scopus 로고
    • Tailoring the pH response range of fluorescent-based pH sensing phases by sol-gel surfactants co-immobilization
    • Sánchez-Barragán, L., Costa-Fernández, J.M., and Sanz-Medel, A. 2005. Tailoring the pH response range of fluorescent-based pH sensing phases by sol-gel surfactants co-immobilization. Sens Actuators B, 107: 69-75.
    • (2005) Sens Actuators B , vol.107 , pp. 69-75
    • Sánchez-Barragán, L.1    Costa-Fernández, J.M.2    Sanz-Medel, A.3
  • 18
    • 0034875182 scopus 로고    scopus 로고
    • High acidity optical sensors based on sol-gel derived thin films
    • Shamsipur, M. and Azimi, G. 2001. High acidity optical sensors based on sol-gel derived thin films. Anal. Lett., 34: 1603-1616.
    • (2001) Anal. Lett , vol.34 , pp. 1603-1616
    • Shamsipur, M.1    Azimi, G.2
  • 19
    • 0037067124 scopus 로고    scopus 로고
    • Multicomponent acid-base titration by principal component artificial neural network calibration
    • Shamsipur, M., Hemmateenejad, B., and Akhond, M. 2002. Multicomponent acid-base titration by principal component artificial neural network calibration. Anal. Chim. Acta, 461: 147-153.
    • (2002) Anal. Chim. Acta , vol.461 , pp. 147-153
    • Shamsipur, M.1    Hemmateenejad, B.2    Akhond, M.3
  • 21
    • 0037457532 scopus 로고    scopus 로고
    • Optimisation of the range of an optical fibre pH sensor using feed-forward artificial neural network
    • Suah, F.B.M., Ahmada, M., and Taibb, M.N. 2003. Optimisation of the range of an optical fibre pH sensor using feed-forward artificial neural network. Sens. Actuators B, 90: 175-181.
    • (2003) Sens. Actuators B , vol.90 , pp. 175-181
    • Suah, F.B.M.1    Ahmada, M.2    Taibb, M.N.3
  • 22
    • 0037457548 scopus 로고    scopus 로고
    • Applications of artificial neural network on signal processing of optical fibre pH sensor based on bromophenol blue doped with sol-gel film
    • Suah, F.B.M., Ahmad, M., and Taib, M.N. 2003. Applications of artificial neural network on signal processing of optical fibre pH sensor based on bromophenol blue doped with sol-gel film. Sens. Actuators B, 90: 182-188.
    • (2003) Sens. Actuators B , vol.90 , pp. 182-188
    • Suah, F.B.M.1    Ahmad, M.2    Taib, M.N.3
  • 23
    • 0030606841 scopus 로고    scopus 로고
    • Extending the range of an optical fibre pH sensor using an artificial neural network
    • Taib, M.N., Andres, R., and Narayanaswamy, R. 1996. Extending the range of an optical fibre pH sensor using an artificial neural network. Anal. Chim. Acta, 330: 31-40.
    • (1996) Anal. Chim. Acta , vol.330 , pp. 31-40
    • Taib, M.N.1    Andres, R.2    Narayanaswamy, R.3
  • 24
    • 0037096174 scopus 로고    scopus 로고
    • Fiber-optic chemical sensors and biosensors
    • Wolfbeis, O.S. 2002. Fiber-optic chemical sensors and biosensors. Anal. Chem., 74: 2663-2677.
    • (2002) Anal. Chem , vol.74 , pp. 2663-2677
    • Wolfbeis, O.S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.