A disposable breath sensing tube with on-tube single-nanowire sensor array for on-site detection of exhaled breath biomarkers

Lab on a Chip ◽  
2016 ◽  
Vol 16 (22) ◽  
pp. 4395-4405 ◽  
Author(s):  
Chung-Hsuan Wu ◽  
Wei-Han Wang ◽  
Chien-Chong Hong ◽  
Kuo Chu Hwang

The plastic tube with on-tube single-NW sensors demonstrates the advantages of low cost, fast response, and an easy-to-use breath-sensing procedure.

Proceedings ◽  
2017 ◽  
Vol 1 (4) ◽  
pp. 458
Author(s):  
Ondřej Chmela ◽  
Jakub Sadílek ◽  
Jakub Somer ◽  
Jordi Samà ◽  
Guillem Domènech-Gil ◽  
...  

2013 ◽  
Vol 753-755 ◽  
pp. 2121-2125
Author(s):  
Hsing Cheng Chang ◽  
San Shan Hung ◽  
Shyan Lung Lin ◽  
I Nan Chang ◽  
Chi Chih Lai

The research presents a novel automatic anemometer based on the technology of automatic multi-dimensional thermoelectric sensor array. The multi-dimensional thermoelectric sensor array was designed to form a double-ring structure using commercial thermocouples to detect real-time airflow temperature distribution, velocity and direction. The sensing arrays and a controllable heater and a human-machine interface that is calibrated by a hot-wire anemometer. The anemometer has advantages of low cost, real-time detection with fast response. Related air flow information has measured accurately and repeatability.


2020 ◽  
Vol 16 (8) ◽  
pp. 1032-1040
Author(s):  
Laleh Samini ◽  
Maryam Khoubnasabjafari ◽  
Mohamad M. Alimorad ◽  
Vahid Jouyban-Gharamaleki ◽  
Hak-Kim Chan ◽  
...  

Background: Analysis of drug concentrations in biological fluids is required in clinical sciences for various purposes. Among other biological samples, exhaled breath condensate (EBC) is a potential sample for follow up of drug concentrations. Methods: A dispersive liquid-liquid microextraction (DLLME) procedure followed by a validated liquid chromatography method was employed for the determination of budesonide (BDS) in EBC samples collected using a homemade setup. EBC is a non-invasive biological sample with possible applications for monitoring drug concentrations. The proposed analytical method is validated according to the FDA guidelines using EBC-spiked samples. Its applicability is tested on EBC samples collected from healthy volunteers receiving a single puff of BDS. Results: The best DLLME conditions involved the use of methanol (1 mL) as a disperser solvent, chloroform (200 μL) as an extraction solvent, and centrifugation rate of 3500 rpm for 5 minutes. The method was validated over a concentration range of 21-210 μg·L-1 in EBC. Inter- and intra-day precisions were less than 10% where the acceptable levels are less than 20%. The validated method was successfully applied for the determination of BDS in EBC samples. Conclusion: The findings of this study indicate that the developed method can be used for the extraction and quantification of BDS in EBC samples using a low cost method.


2012 ◽  
Vol 12 (7) ◽  
pp. 2384-2391 ◽  
Author(s):  
Junghwan Cho ◽  
Xiaopeng Li ◽  
Zhiyong Gu ◽  
Pradeep U. Kurup

Sensors ◽  
2020 ◽  
Vol 20 (19) ◽  
pp. 5697
Author(s):  
Chang Sun ◽  
Shihong Yue ◽  
Qi Li ◽  
Huaxiang Wang

Component fraction (CF) is one of the most important parameters in multiple-phase flow. Due to the complexity of the solid–liquid two-phase flow, the CF estimation remains unsolved both in scientific research and industrial application for a long time. Electrical resistance tomography (ERT) is an advanced type of conductivity detection technique due to its low-cost, fast-response, non-invasive, and non-radiation characteristics. However, when the existing ERT method is used to measure the CF value in solid–liquid two-phase flow in dredging engineering, there are at least three problems: (1) the dependence of reference distribution whose CF value is zero; (2) the size of the detected objects may be too small to be found by ERT; and (3) there is no efficient way to estimate the effect of artifacts in ERT. In this paper, we proposed a method based on the clustering technique, where a fast-fuzzy clustering algorithm is used to partition the ERT image to three clusters that respond to liquid, solid phases, and their mixtures and artifacts, respectively. The clustering algorithm does not need any reference distribution in the CF estimation. In the case of small solid objects or artifacts, the CF value remains effectively computed by prior information. To validate the new method, a group of typical CF estimations in dredging engineering were implemented. Results show that the new method can effectively overcome the limitations of the existing method, and can provide a practical and more accurate way for CF estimation.


2016 ◽  
Vol 229 ◽  
pp. 609-617 ◽  
Author(s):  
Rahim Rahimi ◽  
Manuel Ochoa ◽  
Tejasvi Parupudi ◽  
Xin Zhao ◽  
Iman K. Yazdi ◽  
...  

ETRI Journal ◽  
2018 ◽  
Vol 40 (6) ◽  
pp. 802-812 ◽  
Author(s):  
Jin-Young Jeon ◽  
Jang-Sik Choi ◽  
Joon-Boo Yu ◽  
Hae-Ryong Lee ◽  
Byoung Kuk Jang ◽  
...  

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