In vivo plant impedance measurements and characterization of membrane electrical properties: The influence of cold acclimation

Characterization and Differentiation between Olive Varieties through Electrical Impedance Spectroscopy, Neural Networks and IoT

Electrical impedance has shown itself to be useful in measuring the properties and characteristics of agri-food products: fruit quality, moisture content, the germination capacity in seeds or the frost-resistance of fruit. In the case of olives, it has been used to determine fat content and optimal harvest time. In this paper, a system based on the System on Chip (SoC) AD5933 running a 1024-point discrete Fourier transform (DFT) to return the impedance value as a magnitude and phase and which, working together with two ADG706 analog multiplexers and an external programmable clock based on a synthesized DDS in a FPGA XC3S250E-4VQG100C, allows for the impedance measurement in agri-food products with a frequency sweep from 1 Hz to 100 kHz. This paper demonstrates how electrical impedance is affected by the temperature both in freshly picked olives and in those processed in brine and provides a way to characterize cultivars by making use of only the electrical impedance, neural networks (NN) and the Internet of Things (IoT), allowing information to be collected from the olive samples analyzed both on farms and in factories.

Deconvolved electrical impedance spectra track distinct cell morphology changes

A two-component Cole-Cole model was used to obtain statistically significant fits to 100-Hz-10-MHz impedance data for EMT-6 mouse tumors during the progressive histological changes induced by hyperthermia. The resulting fitting parameters were used to deconvolute and reconstruct the two dispersions which confer the predominant impedance features to this tissue. The time-dependent changes of these two dispersions were correlated with the concurrent, heat-induced morphological changes of the tumors' cells. The higher frequency dispersion (fc approximately 1 MHz) was identified with a Maxwell-Wagner relaxation process linked to the overall volume response of the cells. The lower frequency dispersion (fc approximately 10 kHz) represented an alpha-relaxation associated with the surface morphology and integrity of the plasma membranes. Thus, two aspects of the characteristic cellular damage sequence in these tumors were found to be separately discernable and trackable in real-time using the impedance data.