000077184 001__ 77184
000077184 005__ 20230914083234.0
000077184 0247_ $$2doi$$a10.3390/electronics8010038
000077184 0248_ $$2sideral$$a110404
000077184 037__ $$aART-2019-110404
000077184 041__ $$aeng
000077184 100__ $$0(orcid)0000-0002-3190-8789$$aSanchez-Gonzalez, A.$$uUniversidad de Zaragoza
000077184 245__ $$aA multichannel FRA-based impedance spectrometry analyzer based on a low-cost multicore microcontroller
000077184 260__ $$c2019
000077184 5060_ $$aAccess copy available to the general public$$fUnrestricted
000077184 5203_ $$aImpedance spectrometry (IS) is a characterization technique in which a voltage or current signal is applied to a sample under test to measure its electrical behavior over a determined frequency range, obtaining its complex characteristic impedance. Frequency Response Analyzer (FRA) is an IS technique based on Phase Sensitive Detection (PSD) to extract the real and imaginary response of the sample at each input signal, which presents advantages compared to FFT-based (Fast Fourier Transform) algorithms in terms of complexity and speed. Parallelization of this technique has proven pivotal in multi-sample characterization, reducing the instrumentation size and speeding up analysis processes in, e.g., biotechnological or chemical applications. This work presents a multichannel FRA-based IS system developed on a low-cost multicore microcontroller platform which both generates the required excitation signals and acquires and processes the output sensor data with a minimum number of external passive components, providing accurate impedance measurements. With a suitable configuration, the use of this multicore solution allows characterizing several impedance samples in parallel, reducing the measurement time. In addition, the proposed architecture is easily scalable.
000077184 536__ $$9info:eu-repo/grantAgreement/ES/MINECO-FEDER/TEC2015-65750-R
000077184 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000077184 590__ $$a2.412$$b2019
000077184 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b125 / 265 = 0.472$$c2019$$dQ2$$eT2
000077184 592__ $$a0.303$$b2019
000077184 593__ $$aElectrical and Electronic Engineering$$c2019$$dQ2
000077184 593__ $$aControl and Systems Engineering$$c2019$$dQ3
000077184 593__ $$aSignal Processing$$c2019$$dQ3
000077184 593__ $$aHardware and Architecture$$c2019$$dQ3
000077184 593__ $$aComputer Networks and Communications$$c2019$$dQ3
000077184 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000077184 700__ $$0(orcid)0000-0002-5380-3013$$aMedrano, N.$$uUniversidad de Zaragoza
000077184 700__ $$0(orcid)0000-0003-2361-1077$$aCalvo, B.$$uUniversidad de Zaragoza
000077184 700__ $$0(orcid)0000-0001-6642-3792$$aMartinez, P.A.$$uUniversidad de Zaragoza
000077184 7102_ $$15008$$2250$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Electrónica
000077184 773__ $$g8, 1 (2019), 38 [23 pp]$$pElectronics (Basel)$$tElectronics$$x2079-9292
000077184 8564_ $$s1775377$$uhttps://zaguan.unizar.es/record/77184/files/texto_completo.pdf$$yVersión publicada
000077184 8564_ $$s108931$$uhttps://zaguan.unizar.es/record/77184/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000077184 909CO $$ooai:zaguan.unizar.es:77184$$particulos$$pdriver
000077184 951__ $$a2023-09-13-10:45:17
000077184 980__ $$aARTICLE