Trade-off between minimum number of wireless sensors and the accuracy of temperature profile in cold rooms: a model-based framework

Evaluation of temperature distribution in cold rooms is an important consideration in the design of food storage solutions. Two common approaches used in both industry and academia to address this question are the deployment of wireless sensors, and modelling with Computational Fluid Dynamics (CFD). However, for a realworld evaluation of temperature distribution in a cold room, both approaches have their limitations. For wireless sensors, it is economically unfeasible to carry out large-scale deployment (to obtain a high resolution of temperature distribution); while with CFD modelling, it is usually not accurate enough to get a reliable result. In this paper, we propose a model-based framework which combines the wireless sensors technique with CFD modelling technique together to achieve a satisfactory trade-off between minimum number of wireless sensors and the accuracy of temperature profile in cold rooms. A case study is presented to demonstrate the usability of the framework.

Model and visualise the relationship between energy consumption and temperature distribution in cold rooms

In the area of food and pharmacy cold storage, temperature distribution is considered as a key factor. Inappropriate distribution of temperature during the cooling process in cold rooms will cause the deterioration of the quality of products and therefore shorten their life-span. In practice, in order to maintain the distribution of temperature at an appropriate level, large amount of electrical energy has to be consumed to cool down the volume of space, based on the reading of a single temperature sensor placed in every cold room. However, it is not clear and visible that what is the change of energy consumption and temperature distribution over time. It lacks of effective tools to visualise such a phenomenon. In this poster, we initially present a solution which combines a visualisation tool with a Computational Fluid Dynamics (CFD) model together to enable users to explore such phenomenon.

Spatial and energetic mode dynamics of cold atomic systems

In this thesis we relate the formal description of various cold atomic systems in the energy eigenbasis, to the observable spatial mode dynamics. Herein the `spatial mode dynamics' refers to the direction of photon emission following the spontaneous emission of an excited fermion in the presence of a same species and spin ideal anisotropic Fermi sea in its internal ground state. Due to the Pauli principle, the presence of the ground state Fermi sea renders the phase space, anisotropic and only partially accessible, thereby a ecting the direction of photon emission following spontaneous emission. The spatial and energetic mode dynamics also refers to the quantum `tunneling' interaction between localised spatial modes, synonymous with double well type potentials. Here we relate the dynamics of the wavefunction in both the energetic and spatial representations. Using this approach we approximate the relationship between the spatial and energetic representations of a wavefunction spanning three spatial and energetic modes. This is extended to a process known as Spatial Adiabatic Passage, which is a technique to transport matter waves between localised spatial modes. This approach allows us to interpret the transport of matter waves as a signature of a geometric phase acquired by the one of the internal energy eigenstates of the system during the cyclical evolution. We further show that this geometric phase may be used to create spatial mode qubit and qutrit states.

Food preservation using antifungal lactic acid bacteria

Fungal spoilage of food and feed prevails as a major problem for the food industry. The use antifungal-producing lactic acid bacteria (LAB) may represent a safer, natural alternative to the use of chemical preservatives in foods. A large scale screen was undertaken to identify a variety of LAB with antifungal properties from plant, animal and human sources. A total of 6,720 LAB colonies were isolated and screened for antifungal activity against the indicator Penicillium expansum. 94 broad-spectrum producers were identified through 16S rRNA sequencing with the majority of the population comprising Lactobacillus plantarum isolates. Six broad-spectrum isolates were consequently characterised. Pedicococcus pentosaceous 54 displayed potent anti-mould capabilities in pear, plum and grape models and may represent an ideal candidate for use in the beverage industry. Two antifungal Lb. plantarum isolates were assessed for their technological robustness and potential as biopreservatives in refrigerated foods. Lb. plantarum 16 and 62 displayed high levels of tolerance to freeze-drying, low temperature exposure and high salt concentrations. Both lactobacilli were introduced as supplements into orange juice to retard the growth of the spoilage yeast Rhodotorula mucilaginosa. Furthermore the isolates were applied as adjuncts in yoghurt production to successfully reduce yeast growth. Lb. plantarum 16 proved to be the optimal inhibitor of yeast growth in both food matrices. To date there is limited information available describing the mechanisms behind fungal inhibition by LAB. The effects of concentrated cell-free supernatant (cCFS), derived from Lb. plantarum 16, on the growth of two food-associated moulds was assessed microscopically. cCFS completely inhibited spore, germ tube and hyphal development. A transcriptomic approach was undertaken to determine the impact of antifungal activity on Aspergillus fumigatus Af293. A variety of genes, most notably those involved in cellular metabolism, were found to have their transcription modulated in response to cCFS which is indicative of global cellular shutdown. This study provides the first insights into the molecular targets of antifungal compounds produced by LAB. The genome sequence of the steep water isolate Lb. plantarum 16 was determined. The complete genome of Lb. plantarum16 consists of a single circular chromosome of 3,044,738 base pairs with an average G+C content of 44.74 % in addition to eight plasmids. The genome represents the smallest of this species to date while harbouring the largest plasmid complement. Some features of particular interest include the presence of two prophages, an interrupted plantaricin cluster and a chromosomal and plasmid encoded polysaccharide cluster. The sequence presented here provides a suitable platform for future studies elucidating the mechanisms governing antifungal production.