Development of a Dental Implantable Temperature Sensor for Real-Time Diagnosis of Infectious Disease

Implantable sensors capable of real-time measurements are powerful tools to diagnose disease and maintain health by providing continuous or regular biometric monitoring. In this paper, we present a dental implantable temperature sensor that can send early warning signals in real time before the implant fails. Using a microfabrication process on a flexible polyimide film, we successfully fabricated a multi-channel temperature sensor that can be wrapped around a dental implant abutment wing. In addition, the feasibility, durability, and implantability of the sensor were investigated. First, high linearity and repeatability between electrical resistance and temperature confirmed the feasibility of the sensor with a temperature coefficient of resistance (TCR) value of 3.33 × 10–3/°C between 20 and 100 °C. Second, constant TCR values and robust optical images without damage validated sufficient thermal, chemical, and mechanical durability in the sensor’s performance and structures. Lastly, the elastic response of the sensor’s flexible substrate film to thermal and humidity variations, simulating in the oral environment, suggested its successful long-term implantability. Based on these findings, we have successfully developed a polymer-based flexible temperature sensor for dental implant systems.

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A temperature sensor based on flexible substrate with ultra-high sensitivity for low temperature measurement

Sensors and Actuators A Physical ◽

10.1016/j.sna.2020.112341 ◽

2020 ◽

Vol 315 ◽

pp. 112341

Author(s):

Zhaojun Liu ◽

Bian Tian ◽

Xu Fan ◽

Jiangjiang Liu ◽

Zhongkai Zhang ◽

...

Keyword(s):

Low Temperature ◽

Temperature Measurement ◽

Temperature Sensor ◽

Flexible Substrate ◽

High Sensitivity

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Techno-Economic Planning and Operation of the Microgrid Considering Real-Time Pricing Demand Response Program

Energies ◽

10.3390/en14154597 ◽

2021 ◽

Vol 14 (15) ◽

pp. 4597

Author(s):

Zi-Xuan Yu ◽

Meng-Shi Li ◽

Yi-Peng Xu ◽

Sheraz Aslam ◽

Yuan-Kang Li

Keyword(s):

Real Time ◽

Demand Response ◽

Positive Impact ◽

Environmental Aspects ◽

Component Size ◽

Cost Of Energy ◽

Four Seasons ◽

Demand Response Program ◽

Real Time Pricing

The optimal planning of grid-connected microgrids (MGs) has been extensively studied in recent years. While most of the previous studies have used fixed or time-of-use (TOU) prices for the optimal sizing of MGs, this work introduces real-time pricing (RTP) for implementing a demand response (DR) program according to the national grid prices of Iran. In addition to the long-term planning of MG, the day-ahead operation of MG is also analyzed to get a better understanding of the DR program for daily electricity dispatch. For this purpose, four different days corresponding to the four seasons are selected for further analysis. In addition, various impacts of the proposed DR program on the MG planning results, including sizing and best configuration, net present cost (NPC) and cost of energy (COE), and emission generation by the utility grid, are investigated. The optimization results show that the implementation of the DR program has a positive impact on the technical, economic, and environmental aspects of MG. The NPC and COE are reduced by about USD 3700 and USD 0.0025/kWh, respectively. The component size is also reduced, resulting in a reduction in the initial cost. Carbon emissions are also reduced by 185 kg/year.

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One-Step Synthesis of Carbon Nanoparticles Capable of Long-Term Tracking Lipid Droplet for Real-Time Monitoring of Lipid Catabolism and Pharmacodynamic Evaluation of Lipid-Lowering Drugs

Analytical Chemistry ◽

10.1021/acs.analchem.1c00337 ◽

2021 ◽

Author(s):

Meng-Xian Liu ◽

Na Ding ◽

Shuai Chen ◽

Yong-Liang Yu ◽

Jian-Hua Wang

Keyword(s):

Real Time ◽

Lipid Droplet ◽

Carbon Nanoparticles ◽

Lipid Lowering ◽

Real Time Monitoring ◽

Lipid Catabolism ◽

Lipid Lowering Drugs ◽

One Step

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Long-lasting renewable antibacterial porous polymeric coatings enable titanium biomaterials to prevent and treat peri-implant infection

Nature Communications ◽

10.1038/s41467-021-23069-0 ◽

2021 ◽

Vol 12 (1) ◽

Author(s):

Shuyi Wu ◽

Jianmeng Xu ◽

Leiyan Zou ◽

Shulu Luo ◽

Run Yao ◽

...

Keyword(s):

Dental Implant ◽

Pathogenic Bacteria ◽

Titanium Surface ◽

Polymeric Coating ◽

Antibacterial Efficacy ◽

Polymeric Coatings ◽

Implant Infection ◽

Titanium Surfaces

AbstractPeri-implant infection is one of the biggest threats to the success of dental implant. Existing coatings on titanium surfaces exhibit rapid decrease in antibacterial efficacy, which is difficult to promisingly prevent peri-implant infection. Herein, we report an N-halamine polymeric coating on titanium surface that simultaneously has long-lasting renewable antibacterial efficacy with good stability and biocompatibility. Our coating is powerfully biocidal against both main pathogenic bacteria of peri-implant infection and complex bacteria from peri-implantitis patients. More importantly, its antibacterial efficacy can persist for a long term (e.g., 12~16 weeks) in vitro, in animal model, and even in human oral cavity, which generally covers the whole formation process of osseointegrated interface. Furthermore, after consumption, it can regain its antibacterial ability by facile rechlorination, highlighting a valuable concept of renewable antibacterial coating in dental implant. These findings indicate an appealing application prospect for prevention and treatment of peri-implant infection.

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1459 EXCELLENT LONG TERM (5.5 YEAR) OUTCOME OF LAPAROSCOPIC AND PERCUTANEOUS COMPUTER TOMOGRAPHY GUIDED RADIOFREQUENCY ABLATION OF RENAL MASSES WITH REAL-TIME TEMPERATURE MONITORING

The Journal of Urology ◽

10.1016/j.juro.2013.02.2813 ◽

2013 ◽

Vol 189 (4S) ◽

Author(s):

Gideon Lorber ◽

Arturo Castro ◽

Vladislav Gorbatiy ◽

Mehul Doshi ◽

Reymond Leveillee

Keyword(s):

Radiofrequency Ablation ◽

Real Time ◽

Computer Tomography ◽

Temperature Monitoring ◽

Renal Masses

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The Study and Application of the Nitrile Gloves’ Production Line’s Online Measurement

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.727-728.804 ◽

2015 ◽

Vol 727-728 ◽

pp. 804-808

Author(s):

Jian Jun Cai ◽

Jian Bing Han ◽

Su Qin Qu

Keyword(s):

Temperature Measurement ◽

Real Time ◽

Temperature Sensor ◽

Production Line ◽

Moving Objects ◽

Mold Temperature ◽

Configuration Software ◽

Online Measurement ◽

Line Process ◽

Tracking Technology

In order to solve the problem of the hand module’s online temperature measurement in Nitrile glove production line process, we have developed a set of moving objects or device used for online temperature measurement. The device is mounted infrared temperature sensor, by using PLC-controlled synchronous tracking technology it can track the hand module in the production line, so it can ensure the infrared temperature sensor and hand module synchronously measure its temperature correctly. By using configuration software kingview, we have developed mold temperature monitoring online measurement interface, real-time monitoring of the mold temperature opponents. After analysis of experimental results we concluded that the device work stable, acquisition of temperature reliably, so it has a promotional value.

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Intensifiers on Tyneside

English World-Wide ◽

10.1075/eww.31.3.02bar ◽

2010 ◽

Vol 31 (3) ◽

pp. 252-287 ◽

Cited By ~ 26

Author(s):

Katie Barnfield ◽

Isabelle Buchstaller

Keyword(s):

Real Time ◽

Longitudinal Analysis ◽

Developmental Trajectories ◽

Time Data ◽

Longitudinal Changes ◽

Real Time Data ◽

Quantitative Development ◽

First Time

We report on longitudinal changes in the system of intensification in an innovative corpus that spans five decades of dialectal speech. Our analyses allow us — for the first time in a British context — to trace the quantitative development in the variable across four generations. Longitudinal analysis across real and apparent time determines the effect of extralinguistic and intralinguistic variables on intensification in Tyneside and tests to what extent real time data corroborates trends reported from previous apparent time analyses. Long-term competition within the variable manifests itself in distinctive developmental trajectories: expansion — both proportionally within the variable as well as across adjectival categories — tends to follow one of three types of patterns, exemplified, respectively, by really, so and dead. Variant retraction, however, follows only one schema. Importantly, numerical decline in the system does not necessarily go hand in hand with a reduction in breadth of application.

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Smart carbon monitoring platform under IoT-Cloud architecture for small cities in B5G

Wireless Networks ◽

10.1007/s11276-021-02756-2 ◽

2021 ◽

Author(s):

He Zhang ◽

Jianxun Zhang ◽

Rui Wang ◽

Yazhe Huang ◽

Mengxiao Zhang ◽

...

Keyword(s):

Real Time ◽

Carbon Emission ◽

Emission Measurement ◽

Low Carbon ◽

Time Data ◽

Small Cities ◽

Real Time Data ◽

Monitoring Platform ◽

Term Data

AbstractWith the rapid development of the Internet of Things (IoT) in the 5G age, the construction of smart cities around the world consequents on the exploration of carbon reduction path based on IoT technology is an important direction for global low carbon city research. Carbon dioxide emissions in small cities are usually higher than that in large and medium cities. However, due to the huge difference in data environment between small cities and Medium-large sized cities, the weak hardware foundation of the IoT, and the high input cost, the construction of a small city smart carbon monitoring platform has not yet been carried out. This paper proposes a real-time estimate model of carbon emissions at the block and street scale and designs a smart carbon monitoring platform that combines traditional carbon control methods with IoT technology. It can exist long-term data by using real-time data acquired with the sensing device. Therefore, the dynamic monitoring and management of low-carbon development in small cities can be achieved. The contributions are summarized as follows: (1) Intelligent thermoelectric systems, industrial energy monitoring systems, and intelligent transportation systems are three core systems of the monitoring platform. Carbon emission measurement methods based on sample monitoring, long-term data, and real-time data have been established, they can solve the problem of the high cost of IoT equipment in small cities. (2) Combined with long-term data, the real-time correction technology, they can dispose of the matter of differences in carbon emission measurement under diverse scales.

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