Computational analysis methods to quantify a.c. impedance data |
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| Affiliation: | 1. Department of Plant Nutrition, CEBAS-CSIC, Campus Universitario de Espinardo, 30100 Murcia, Spain;2. Unité de Physiologie et Biochimie de la Réponse des Plantes aux Contraintes Abiotiques, Faculté des Sciences de Tunis, Campus Universitaire, 2092 Tunis El Manar, Tunisia;1. School of Resources and Environment, University of Electronic Science and Technology of China, P.O. Box 611731, Xiyuan Ave, Chengdu, PR China;2. College of Materials Science and Engineering, Nanjing Forestry University, 159 Longpan Road, Nanjing 210037, PR China;3. Department of Chemical Engineering and Energy, Quchan University of Technology, Quchan 9477177870, Iran;4. College of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou 310018, PR China;5. Institute of Systems and Robotics, Department of Electrical and Computer Engineering, University of Coimbra, Polo II, 3030-290 Coimbra, Portugal;6. Laboratory of Basic Sciences, Mohammad Rasul Allah Research Tower, Shiraz University of Medical Sciences, Shiraz 71348-14336, Iran;7. Akdeniz University, Department of Electricity and Energy, Antalya 07070, Turkey;1. Food Engineering Division, National Food Research Institute, NARO, 2-1-12 Kannondai, Tsukuba, Ibaraki 305-8642, Japan;2. Faculty of Engineering, Information and Systems, University of Tsukuba, 1-1-1 Tennohdai, Tsukuba, Ibaraki 305-8573, Japan;1. Institute of Agrobiotechnology, IdAB-CSIC-UPNA-Government of Navarre, Avda. de Pamplona 123, E-31192 Mutilva, Navarre, Spain;2. Faculdade de Ciências, Centro Ecologia Evolução e Alterações Ambientais, Universidade de Lisboa, 1749-016 Lisboa, Portugal;1. CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research (YIC), Chinese Academy of Sciences(CAS), Shandong Key Laboratory of Coastal Environmental Processes, YICCAS, Yantai, Shandong 264003, PR China;2. Laboratory for Marine Biology and Biotechnology, Pilot National Laboratory for Marine Science and Technology (Qingdao), Shandong 266237, PR China;3. Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, Shandong, 266071, PR China |
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| Abstract: | For the interpretation of a.c. impedance data, two data analysis techniques are described and evaluated. The first method is a least squares analysis of a nonlinear model. Modifications to a previously published algorithm, CIRFIT, include a least squares estimate of the double layer capacitance. Also, two convergence techniques for CIRFIT were explored and evaluated. The second method is a nonlinear least squares analysis of an equivalent circuit consisting of three RC parallel combinations, the final circuit containing a diffusion limiting impedance. The method satisfactorily estimated the component values of the proposed equivalent circuit, even when two time constants were closely spaced. Both methods could be valuable in analyzing, modeling, and interpreting experimental a.c. impedance data. |
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