Biological Optical-to-Chemical Signal Conversion Interface: A Small-scale Modulator for Molecular Communications

Journal article
(Original article)

Publication Details

Author(s): Grebenstein L, Kirchner J, Stavracakis Peixoto R, Zimmermann W, Irnstorfer F, Wicke W, Ahmadzadeh A, Jamali Kooshkghazi V, Fischer G, Weigel R, Burkovski A, Schober R
Journal: IEEE Transactions on Nanobioscience
Publication year: 2018
Volume: 18
Journal issue: 1
Pages range: 31-42
ISSN: 1536-1241
Language: English


Although many exciting applications of molecular communication (MC) systems are envisioned to be at microscale, the MC testbeds reported in the literature so far are mostly at macroscale. This may partially be due to the fact that controlling an MC system at microscale is challenging. To link the macroworld to the microworld, we propose and demonstrate a biological signal conversion interface that can also be seen as a microscale modulator. In particular, the proposed interface transduces an optical signal, which is controlled using a light-emitting diode (LED), into a chemical signal by changing the pH of the environment. The modulator is realized using Escherichia coli bacteria as microscale entity expressing the light-driven proton pump gloeorhodopsin from Gloeobacter violaceus. Upon inducing external light stimuli, these bacteria locally change their surrounding pH level by exporting protons into the environment. To verify the effectiveness of the proposed optical-to-chemical signal converter, we analyze the pH signal measured by a pH sensor, which serves as receiver. We develop an analytical parametric model for the induced chemical signal as a function of the applied optical signal. Using this model, we derive a training-based channel estimator which estimates the parameters of the proposed model to fit the measurement data based on a least square error approach. We further derive the optimal maximum likelihood detector and a suboptimal low-complexity detector to recover the transmitted data from the measured received signal. It is shown that the proposed parametric model is in good agreement with the measurement data. Moreover, for an example scenario, we show that the proposed setup is able to successfully convert an optical signal representing a sequence of binary symbols into a chemical signal with a bit rate of 1 bit/min and recover the transmitted data from the chemical signal using the proposed estimation and detection schemes. The proposed modulator may form the basis for future MC testbeds and applications at microscale.

FAU Authors / FAU Editors

Ahmadzadeh, Arman
Lehrstuhl für Digitale Übertragung
Burkovski, Andreas Prof. Dr.
Professur für Mikrobiologie
Fischer, Georg Prof. Dr.-Ing.
Professur für Technische Elektronik
Grebenstein, Laura
Professur für Mikrobiologie
Irnstorfer, Florian
Professur für Technische Elektronik
Jamali Kooshkghazi, Vahid Dr.-Ing.
Lehrstuhl für Digitale Übertragung
Kirchner, Jens Dr.
Lehrstuhl für Technische Elektronik
Schober, Robert Prof. Dr.-Ing.
Lehrstuhl für Digitale Übertragung
Stavracakis Peixoto, Renata
Professur für Mikrobiologie
Weigel, Robert Prof. Dr.-Ing.
Lehrstuhl für Technische Elektronik
Wicke, Wayan
Lehrstuhl für Digitale Übertragung

How to cite

Grebenstein, L., Kirchner, J., Stavracakis Peixoto, R., Zimmermann, W., Irnstorfer, F., Wicke, W.,... Schober, R. (2018). Biological Optical-to-Chemical Signal Conversion Interface: A Small-scale Modulator for Molecular Communications. IEEE Transactions on Nanobioscience, 18(1), 31-42.

Grebenstein, Laura, et al. "Biological Optical-to-Chemical Signal Conversion Interface: A Small-scale Modulator for Molecular Communications." IEEE Transactions on Nanobioscience 18.1 (2018): 31-42.


Last updated on 2019-28-08 at 15:53