scholarly journals Quantitative Performance Analysis of Flexible Ink-jet Printed Low-cost DNA Sensors Based on a CNT Network

Author(s):  
Liang Cai ◽  
Krishna M Kovur ◽  
Prashanthi Kovur ◽  
Carlo D. Montemagno

We report the design, fabrication and quantitative performance analysis of a low-cost, flexible carbon nanotube (CNT) network-based deoxyribonucleic acid (DNA) sensor. These sensors comprise an array of ink-jet printed silver (Ag) electrodes on a transparent polyethylene terephthalate (PET) flexible substrate, where a CNT network acts as a sensing layer. The DNA hybridization is studied by immobilizing single-stranded DNA (ssDNA) probes on the CNT surface; these probes recognize their complementary DNA target. Further, we have carried out a quantitative performance analysis of the flexible CNT biosensors using the analytic hierarchy process (AHP). We have identified various influencing factors and sub-factors (performance indicators), and quantified the performance of the flexible CNT biosensors in different measured states (before bending, during bending and after bending). Additionally, the noise and other external factors contributing to the measured real signal have been quantified. The interpretation of the overall outcome will enable the improvement of the performance of flexible biosensors fabricated through large-scale manufacturing for possible commercialization.

2021 ◽  
Author(s):  
Liang Cai ◽  
Krishna M Kovur ◽  
Prashanthi Kovur ◽  
Carlo D. Montemagno

We report the design, fabrication and quantitative performance analysis of a low-cost, flexible carbon nanotube (CNT) network-based deoxyribonucleic acid (DNA) sensor. These sensors comprise an array of ink-jet printed silver (Ag) electrodes on a transparent polyethylene terephthalate (PET) flexible substrate, where a CNT network acts as a sensing layer. The DNA hybridization is studied by immobilizing single-stranded DNA (ssDNA) probes on the CNT surface; these probes recognize their complementary DNA target. Further, we have carried out a quantitative performance analysis of the flexible CNT biosensors using the analytic hierarchy process (AHP). We have identified various influencing factors and sub-factors (performance indicators), and quantified the performance of the flexible CNT biosensors in different measured states (before bending, during bending and after bending). Additionally, the noise and other external factors contributing to the measured real signal have been quantified. The interpretation of the overall outcome will enable the improvement of the performance of flexible biosensors fabricated through large-scale manufacturing for possible commercialization.


2021 ◽  
Author(s):  
Liang Cai ◽  
Krishna M Kovur ◽  
Prashanthi Kovur ◽  
Carlo D. Montemagno

We report the design, fabrication and quantitative performance analysis of a low-cost, flexible carbon nanotube (CNT) network-based deoxyribonucleic acid (DNA) sensor. These sensors comprise an array of ink-jet printed silver (Ag) electrodes on a transparent polyethylene terephthalate (PET) flexible substrate, where a CNT network acts as a sensing layer. The DNA hybridization is studied by immobilizing single-stranded DNA (ssDNA) probes on the CNT surface; these probes recognize their complementary DNA target. Further, we have carried out a quantitative performance analysis of the flexible CNT biosensors using the analytic hierarchy process (AHP). We have identified various influencing factors and sub-factors (performance indicators), and quantified the performance of the flexible CNT biosensors in different measured states (before bending, during bending and after bending). Additionally, the noise and other external factors contributing to the measured real signal have been quantified. The interpretation of the overall outcome will enable the improvement of the performance of flexible biosensors fabricated through large-scale manufacturing for possible commercialization.


2021 ◽  
Author(s):  
Liang Cai ◽  
Krishna M Kovur ◽  
Prashanthi Kovur ◽  
Carlo D. Montemagno

We report the design, fabrication and quantitative performance analysis of a low-cost, flexible carbon nanotube (CNT) network-based deoxyribonucleic acid (DNA) sensor. These sensors comprise an array of ink-jet printed silver (Ag) electrodes on a transparent polyethylene terephthalate (PET) flexible substrate, where a CNT network acts as a sensing layer. The DNA hybridization is studied by immobilizing single-stranded DNA (ssDNA) probes on the CNT surface; these probes recognize their complementary DNA target. Further, we have carried out a quantitative performance analysis of the flexible CNT biosensors using the analytic hierarchy process (AHP). We have identified various influencing factors and sub-factors (performance indicators), and quantified the performance of the flexible CNT biosensors in different measured states (before bending, during bending and after bending). Additionally, the noise and other external factors contributing to the measured real signal have been quantified. The interpretation of the overall outcome will enable the improvement of the performance of flexible biosensors fabricated through large-scale manufacturing for possible commercialization.


2021 ◽  
Vol 233 ◽  
pp. 03058
Author(s):  
Shan Chen ◽  
Xiaoguang Liang ◽  
Mingmao Li ◽  
Chuanlong Zou

In order to study the quality risk of large-scale clusters of engineering project and makes the characteristic analysis of large-scale clusters of engineering project and evaluates quality risk, the author uses analytic hierarchy process to quantify quality risk factor, and the following conclusions are obtained: (a) Construction management unit that makes the project decision-making mainly controls the QRM, comparatively speaking, it has little control over quality risk when the project is completed and ready to get acceptance (b) In the project decision-making stage, the Construction Technology has the greatest influence on the project quality management. This paper puts forward the suggestion that the influence of quality risk factors should be quantified by associated experts, so as to provide a reference for the construction quality management of large-scale cluster projects.


2020 ◽  
Vol 4 (2) ◽  
pp. 30-35
Author(s):  
Sivajothi Paramasivam ◽  
Hari Krishnan Munisamy ◽  
Santhansamy Rayappan

Atrocities against stray animal’s especially large number of scavenging street dogs have increased at an alarming rate nationwide. Relevant authorities, in view of controlling stray animal population and curb chronic infections mulled cracking down on stray dogs using inhumane methods such as usage of tranquilizers or forcefully capturing. Thus, causing injuries, trauma and potentially death to these captured strays. Even though statistics about the number of violent incidents against strays remains unknown but animal welfare groups report constant complaints regarding animal cruelty. Animal activists mooted a request to design and built a modernize efficient yet low cost trap cage with a provision of technology which are normally ignored by many quarters; as a vehicle to educate the public on humane and compassionate ways to treat stray animals.   The design of the cage involves consists of 3 parts, which was electronics hardware, communication system and critically the structure hardware whereby to withstand the possible aggressiveness of the animal. The objective of this paper is to present and apply the techniques of the analytic hierarchy process (AHP) in the prioritization and selection of design criteria of the trap cage. The finding shows that out of 5 design criteria, quality criteria is the most important criteria in designing of a humane trap cage issue. This is followed by innovativeness, cost, safety and aesthetics factors.


Author(s):  
Manjushree Mishra ◽  
Ajeya Jha

Sikkim, a mountainous state in the Himalayas joined the democratic mainstream of the Indian Union in 1975. It has made enormous progress in planned economic development since then. Mountainous terrain and lack of reliable transportation and infrastructure does not allow establishments of large scale industries. Agriculture, dairy farming and cottage industries have limited scope of expansion. Hydro-electricity generation, pharmaceutical, tourism and tea appear to be promising and fastest growing economic sectors. Thus, these four growth sectors have been considered for evaluation. Six major criteria (such as Installation Cost, Return on Investment, Sustainability, Social Acceptance, Environment Friendliness, and Future Demand) were appropriately selected have been considered for evaluation of these alternatives for prioritising these economic sectors. The alternatives were subjected to pairwise comparison using the Analytic Hierarchy Process (AHP) so as to arrive at objective conclusions. The analysis of selected economic sectors and findings has been discussed in this article.


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