Piezoelectric microsensors for semiochemical communication

Chemical communication plays vital role in the mediating the behaviour of an organism living in the “odour space”. The mechanisms by which odours are generated and detected by the organism has evolved over thousands of years and thus the potential advantages of translating this system into a fully functional communication system has opened new avenues in the area of multi-disciplinary research. This formed the basis of the Biosynthetic Infochemical Communications project – iCHEM whose central aim was to develop a new class of communication technology based on the biosynthesis pathways of the moth, S. littoralis. This novel infochemical communication system would consist of a “chemoemitter” unit which would generate a precise mix of infochemicals which after travelling through the odour space would be detected by a complementary tuned detector – the “chemoreceiver” unit comprising of a ligand specific detection element and an associated biophysical model functioning similar to the antennal lobe neuron of the moth. This combined novel system will have the capability of communicating by the help of chemicals only, in the vapour or liquid phase. For the work presented in this thesis, the novel concept of infochemical communication has been examined in the vapour and liquid phase by employing piezoelectric microsensors. This has been achieved and demonstrated throughout the thesis by employing chemo-specific acoustic wave microsensors. For vapour phase assessment, quartz crystal microbalance, were coated with different organic polymer coatings and incorporated in a prototype infochemical communication system detecting encoded volatiles. For liquid phase assessment, shear horizontal surface acoustic wave (SH-SAW) microsensors were specifically designed and immobilised within Sf9 insect cells. This GPCR based whole cell biosensing system was then employed to detect ligand specific activations thus acting as a precursor to the development of a fully functionalised OR based signalling system, thus contributing to the growing field of communication and labelling technology

Towards a cell-based chemo receiver for artificial insect olfaction

Infochemical communication is ubiquitous amongst all living organisms, and particularly important in insects. Because smell being the most common basic means of chemical communication, infochemical blends must be constantly decoded in order to proclaim their readiness to mate, to mark out territorial boundaries, to warn off intruders and predators or, in some cases, to locate food or predators with millisecond precision. The central challenge of the thesis was to mimic nature in both cellular and molecular levels on to a technological platform that aids in the development of a new class of technology employing chemicals alone to communicate over space and time. This thesis describes a body of work conducted in the development of a miniaturised, smart and label-free cell-based chemoreceiver for artificial insect olfaction, as part of the development of a novel biomimetic infochemical communication system. A surface acoustic wave based microsensor has been utilized to engineer and develop a chemoreceiver system that mimics the cellular and molecular mechanisms occurring during infochemical detection and decoding in insects. Successful recovery of ratiometric information with the aid of polymer-based gas-phase measurements, established the concept of chemical communication. Thus, small scale, high-throughput infochemical communication has been realized by a combination of precise spatiotemporal signal generation using fruit volatiles and insect sex pheromones with highly sensitive detection and signal processing. This was followed by the investigation of the feasibility of using the prototype cell-based biosensor system in a static mode for artificial insect olfaction applications, mimicking the cellular detection in the receptor/antenna apparatus of insects. Finally, as part of the development of a compact and low-power portable chemoreceiver system, the discrete sensor drive and interface circuitry was deployed in an analogue VLSI chip, thereby overcoming the associated measurement complexity and equipment cost, in addition to extending the reach and functionality of point of use technologie

Nanoparticle communications : from chemical signals in nature to wireless sensor networks

The need to convey information has always existed in both the animal and human kingdoms. The article offers a review of the latest developments in transporting information using nanosized particles. It begins by examining chemical signalling in nature, and goes on to discuss recent advances in mimicking this in bio-inspired engineering. It then points out the important difference between signalling and general communication, and explains why the latter is a more challenging problem. The existing research on mimicking chemical signalling in nature is a precurser to research into general chemical communication. A review of the latest theoretical research in general chemical communications is presented, along with the practical developments of the world’s first nanoparticle communications test-bed. In the parts of the article, the authors discuss the potential research challenges and identify three important areas for future development: robustness, miniaturization, and scalability

High frequency surface acoustic wave resonator-based sensor for particulate matter detection

This paper describes the characterization of high frequency Surface Acoustic Wave Resonator-based (SAWR) sensors, for the detection of micron and sub-micron sized particles. The sensor comprises two 262 MHz ST-cut quartz based Rayleigh wave SAWRs where one is used for particle detection and the other as a reference. Electro-acoustic detection of different sized particles shows a strong relationship between mass sensitivity (Δf/Δm) and particle diameter (Dp). This enables frequency-dependent SAWR sensitivity to be tailored to the size of particles, thus making these types of sensors good candidates for PM10, PM2.5 and ultrafine particle (UFP) detection. Our initial characterisation demonstrated a typical SAWR frequency shift of 60 Hz in response to a deposition of ca. 0.21 ng of 0.75 μm-sized gold particles (∼50 particles) on sensor’s surface. Sensor responses to different size particles, such as ∼30 μm diameter silicon, gold (diameters of ∼0.75 μm and ∼20 μm), ∼8 μm fine sugar, PTFE (∼1 μm and ∼15 μm), ∼4 μm talcum powder, and ∼2 μm molybdenum powder were evaluated, and an average mass sensitivity of 275 Hz/ng was obtained. Based on the results obtained in this study we believe that acoustic wave technology has great potential for application in airborne particle detection. Moreover, acoustic resonator devices can be integrated with CMOS interface circuitry to obtain sensitive, robust, low-power and low-cost particle detectors for variety of applications including outdoor environmental monitoring

An investigation into spike-based neuromorphic approaches for artificial olfactory systems

The implementation of neuromorphic methods has delivered promising results for vision and auditory sensors. These methods focus on mimicking the neuro-biological architecture to generate and process spike-based information with minimal power consumption. With increasing interest in developing low-power and robust chemical sensors, the application of neuromorphic engineering concepts for electronic noses has provided an impetus for research focusing on improving these instruments. While conventional e-noses apply computationally expensive and power-consuming data-processing strategies, neuromorphic olfactory sensors implement the biological olfaction principles found in humans and insects to simplify the handling of multivariate sensory data by generating and processing spike-based information. Over the last decade, research on neuromorphic olfaction has established the capability of these sensors to tackle problems that plague the current e-nose implementations such as drift, response time, portability, power consumption and size. This article brings together the key contributions in neuromorphic olfaction and identifies future research directions to develop near-real-time olfactory sensors that can be implemented for a range of applications such as biosecurity and environmental monitoring. Furthermore, we aim to expose the computational parallels between neuromorphic olfaction and gustation for future research focusing on the correlation of these senses

Under-water molecular signalling : a hidden transmitter and absent receivers problem

Wave-based signals have been successful in reliably and efficiently transferring data between two or more well defined points (e.g., known location area). However, it is challenged when the transmitter is hidden and the receivers are absent. Essentially, the transmitter and the receivers have no location knowledge of each other. We demonstrate that unlike wave-based transmissions, the total molecular energy doesn’t monotonically degrade as a function of time. This paper uses a bio-inspired method of communicating data from a hidden transmitter to a group of absent receivers. A specialized molecular communication system is designed, including how to embed vital location information in the structure of a heterogeneous biochemical molecule. Like message in a bottle, there is a growing probability of receiving the location message over a period of several years. The only caveat is that there is an initial delay of a few hours to days, depending on the proximity of the rescue team to the crash site. This will provide an attractive alternative to current wave-based communications for delay-tolerant crash recovery

Application of a Brain-Inspired Spiking Neural Network Architecture to Odor Data Classification

Existing methods in neuromorphic olfaction mainly focus on implementing the data transformation based on the neurobiological architecture of the olfactory pathway. While the transformation is pivotal for the sparse spike-based representation of odor data, classification techniques based on the bio-computations of the higher brain areas, which process the spiking data for identification of odor, remain largely unexplored. This paper argues that brain-inspired spiking neural networks constitute a promising approach for the next generation of machine intelligence for odor data processing. Inspired by principles of brain information processing, here we propose the first spiking neural network method and associated deep machine learning system for classification of odor data. The paper demonstrates that the proposed approach has several advantages when compared to the current state-of-the-art methods. Based on results obtained using a benchmark dataset, the model achieved a high classification accuracy for a large number of odors and has the capacity for incremental learning on new data. The paper explores different spike encoding algorithms and finds that the most suitable for the task is the step-wise encoding function. Further directions in the brain-inspired study of odor machine classification include investigation of more biologically plausible algorithms for mapping, learning, and interpretation of odor data along with the realization of these algorithms on some highly parallel and low power consuming neuromorphic hardware devices for real-world applications

A comprehensive survey of recent advancements in molecular communication

With much advancement in the field of nanotechnology, bioengineering and synthetic biology over the past decade, microscales and nanoscales devices are becoming a reality. Yet the problem of engineering a reliable communication system between tiny devices is still an open problem. At the same time, despite the prevalence of radio communication, there are still areas where traditional electromagnetic waves find it difficult or expensive to reach. Points of interest in industry, cities, and medical applications often lie in embedded and entrenched areas, accessible only by ventricles at scales too small for conventional radio waves and microwaves, or they are located in such a way that directional high frequency systems are ineffective. Inspired by nature, one solution to these problems is molecular communication (MC), where chemical signals are used to transfer information. Although biologists have studied MC for decades, it has only been researched for roughly 10 year from a communication engineering lens. Significant number of papers have been published to date, but owing to the need for interdisciplinary work, much of the results are preliminary. In this paper, the recent advancements in the field of MC engineering are highlighted. First, the biological, chemical, and physical processes used by an MC system are discussed. This includes different components of the MC transmitter and receiver, as well as the propagation and transport mechanisms. Then, a comprehensive survey of some of the recent works on MC through a communication engineering lens is provided. The paper ends with a technology readiness analysis of MC and future research directions

Modulation Analysis in Macro-Molecular Communications

Molecular communication (MC) involves the transmission of information using particles (i.e., molecules). Research into the field has been dominated by micro-scale, and most of the effects of macro-scale communication have yet to be studied. In this paper, the modulation and transmission of MC at macro-scale are investigated. For the transmitter, an in-house-built odor generator was used, and as the detector, a mass spectrometer with a quadrupole mass analyzer was employed. Various 2-level, 4-level, and 8-level modulation schemes were tested experimentally. A simulation framework, developed for the first time, was used for comparison with the experimental results. It was shown that communication can be modeled using a variant of the advection-diffusion equation and that it gives good agreement with the experimental results. A symbol-error-rate (SER) analysis of both the experimental and simulation results was analyzed. It was found that increasing the distance has a detrimental effect on both the channel capacity and the SER, whereas velocity and diffusivity have a decreasing effect on the SER and an increasing effect on the channel capacity. A channel model was developed based on the asymmetric behavior of the communications, and the optimal sampling period was developed that subsequently permitted analysis of the ISI of the communications scheme