Engineering Conferences International
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Soluble expression of genes for enzymes in Escherichia coli
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Bacterial Phosphorothioate DNA Modification: New Defense Systems and Perspective Uses
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Flexible Ion-selective biosensors for sweat analysis
Flexible biosensor technologies are significant to realize continuous and real-time monitoring of people’s physical situation. Sampling biomolecules and ions in human sweat paves a way for non-invasive state monitoring, bringing enormous potential applications in healthcare and sports. As one of the prime candidates, the organic electrochemical transistor (OECT) has attracted a lot of attention in recent years for its high sensitivity and low operating voltages (\u3c1V) in aqueous solutions[1].
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Invited - Droplets driving and sensing pixel circuits for thin film transistor-based digital microfluidics
Thin film transistor-based active-matrix digital microfluidics (AM-DMF) is an emerging and promising technology for large-scale parallel biological sample handling. With electrowetting-on-dielectric (EWOD) method, DMF chip can realize accurately controlling discrete droplets, thus it has great application prospects in biology, chemistry, and drug discovery. With the rapid development of micro-analysis and detection requirements, the precise control of droplets in DMF chips is increasingly required, so it is necessary to conduct the real-time sensing of droplet position.
Figure 1 shows the designed droplet position detection unit circuit. The circuit consists of six thin film transistors, T1-T6. The input signals mainly include the enable signal Ven, the reverse enable signal Venb, the discharge signal Vdischarge, the detection signal Vdetect, and the ground signal Vgnd. The signal Vdrive is the driving voltage applied for driving electrode. Cpixel is the equivalent capacitance between the two plates of a pixel electrode in a microfluidic chip. Vout is the output voltage signal.
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Invited; Ultrathin organic transistors toward next-generation skin electronics
An ultimate goal of biological measurement is to monitor the states of a living body in a non-invasive, continuous, and accurate manner without disturbing the natural functions or activities of the living body. Because electronic devices in direct contact with biological tissues are inevitably exposed to physical disturbances caused by physical contact, considerable efforts have been made to minimize their effects [1]. In temperature measurement, for example, it is preferable to reduce the heat capacity or thermal conductance of a sensor to suppress the effect of heat transfer from the object [2]. Furthermore, mechanical compliance with electronics is important for biological objects, because the skin is soft and has a three-dimensional structure. Flexible and/or stretchable sensors have been proposed to reduce the effects of modulus differences between the skin and the electronics [3,4].
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Invited - Temporal information processing for in-sensor computing based on amorphous IGZO phototransistor
On facing the massive and unstructured data processing, it is imperative to emulate artificial neural networks with new physical hardware architectures in addition to software-based approaches, to overcome the barrier of the von Neumann bottleneck. By mimicking the human visual sensing system, the optoelectronic devices, which can perform data compression and reduce the network size through the reconstruction of input signals, are promising to develop the neuromorphic in-sensor computing for minimizing the time latency as well as improving the energy efficiency. In this work, we demonstrate an amorphous indium-gallium-zinc-oxide (a-IGZO) phototransistor with ZrOx high-k dielectric layer with distinct responses to various optical stimulation inputs. Due to the persistent photoconductivity (PPC) effect of a-IGZO after lighting, our device is able to exhibit synaptic functions via the application of 405 nm light spikes, such as paired-pulse facilitation (PPF) and short-term memory (STM). Furthermore, in order to perform the temporal optical signals processing, the a-IGZO phototransistor is stimulated by four-timeframe temporal pulse streams composed of 405 nm light spikes and it expresses the different temporal responses. The distinct output photocurrent response reveals that the a-IGZO phototransistor can be applied to distinguish the time-series input light signals. Accordingly, the a-IGZO phototransistor have a promising potential for processing optical temporal information and can possibly be implemented for visual in-sensor computing techniques.
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Invited - Metal-oxide thin-film transistor: An enabling technology for smart sensor construction and 3-D monolithic integration
Presently described is a 300 oC TFT technology based on semiconducting MOs. A parallel, double-gate (DG) TFT with its channel sandwiched between two gate electrodes can be readily realized (Fig. 1). The threshold voltage referenced to one electrode of such a TFT can be modulated by the bias applied on the other electrode (Fig. 2).
The TFTs could be applied as signal-coupling elements in a tactile sensor array to couple the output of the PVDF sensor to an in-pixel amplifier (inset of Fig. 3). The piezo-cap is elevated above all other features by proper stacking of the component layers, thus facilitating the sampling of a distributed force load applied on the top of the sensor (Fig. 3).
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Finite element analysis of hot spots in flash sintering
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The role of membrane chemistry in Lentiviral vector clarification recovery for cell and gene therapies
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Design of a GMP-ready single-pass tangential flow filtration (SPTFF) and inline diafiltration (LILDF) system for continuous manufacturing operations
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