Fabrication and characterization of pillar interdigitated electrode for blood glucose sensing

Sensor Review ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anindya Bose ◽  
Sarthak Sengupta

Purpose A bio-sensor has been developed in this study for the purpose of point-of-care diagnostics. Point-of-care-diagnostic is a type of diagnosis where the diagnostic centre, i.e. the diagnosis kit is made available at the location of the patient when the patient needs immediate action. In this process of diagnosis a compact, portable, integrated kit must be available which can diagnose the disease of the patient by testing various analytes. Design/methodology/approach Using a fully experimental methodology, a blood glucose sensor is made by conducting carbon interdigitated electrode (IDE) on a flexible substrate. IDEs are used to increase the effective capacitance of the structure, as well as the effective electroactive area of the sensor. Interdigitated structure permits two-electrode sticks with “each other” and “infuse” together. As a consequence, the distance between electrodes can be tuned to a much smaller value than traditional thin-film architectures. Narrowing the distance between electrodes allows for fast ion diffusion that offers better rate capability and efficiency in power density. The fabricated device exhibits a remarkable value of sensitivity in the order of 2.741 µA mM-1 cm−2. Findings A highly sensitive, portable and inexpensive blood glucose sensor has been developed in this context. Originality/value This research study can be a scope for future research in the field of bio-sensors.

Sensor Review ◽  
2018 ◽  
Vol 38 (4) ◽  
pp. 420-437 ◽  
Author(s):  
Partha Pratim Ray

Purpose Continuous glucose monitoring (CGM) is a notable invention introduced in the biomedical industry. It provides valuable information about intermittent capillary blood glucose that is normally unattainable by regular clinical blood sample tests. CGM includes several progressive facilities such as instantaneous and real-time display of blood glucose level, “24/7” coverage, continuous motion of alerts for actual or impending hypo- and hyperglycemia and the ability to characterize glycemic variability. CGM allows users and physicians to visualize and diagnose more accurate and precise rate of change of glucose by capacitating small, comfortable, user-friendly sensor devices. Sometimes, this vital information is shared to the personal message box over Internet. In short, CGM is capable to inform, educate, motivate and alert (IEMA) people with diabetes. Despite the huge expectation with CGM, the available solutions have not attracted much attention among people. The huge potential of CGM in future diabetic study relies on the successful implication of the CGM. This paper aims at disseminating of state-of-the-art knowledge about existing work around the CGM. Design/methodology/approach This paper presents a comprehensive systematic review on the recent developments in CGM development techniques that have been reported in credible sources, namely PubMed, IEEE Xplore, Science Direct, Springer Link, Scopus and Google Scholar. Detailed analysis and systematic comparison are provided to highlight the achievement and future direction of CGM deployment. Findings Several key challenges are also portrayed for suitable opportunistic orientation. CGM solutions from four leading manufacturers such as Tandem, Dexcom, Abbott and Medtronic are compared based on the following factors including accuracy (% MARD); sensor lifetime, calibration requirement, smart device, compatibility and remote monitoring. Qualitative and quantitative analyses are performed. Originality/value This work can be a valuable source of reference and guidance for future research in this field.


2019 ◽  
Vol 21 (4) ◽  
pp. 240-247
Author(s):  
Lorraine Hope ◽  
Feni Kontogianni ◽  
Kristoffer Geyer ◽  
Wayne Thomas

Purpose Eliciting detailed and comprehensive information about the structure, organisation and relationships between individuals involved in organised crime gangs, terrorist cells and networks is a challenge in investigations and debriefings. Drawing on memory theory, the purpose of this paper is to develop and test the Reporting Information about Networks and Groups (RING) task, using an innovative piece of information elicitation software. Design/methodology/approach Using an experimental methodology analogous to an intelligence gathering context, participants (n=124) were asked to generate a visual representation of the “network” of individuals attending a recent family event using the RING task. Findings All participants successfully generated visual representations of the relationships between people attending a remembered social event. The groups or networks represented in the RING task output diagrams also reflected effective use of the software functionality with respect to “describing” the nature of the relationships between individuals. Practical implications The authors succeeded in establishing the usability of the RING task software for reporting detailed information about groups of individuals and the relationships between those individuals in a visual format. A number of important limitations and issues for future research to consider are examined. Originality/value The RING task is an innovative development to support the elicitation of targeted information about networks of people and the relationships between them. Given the importance of understanding human networks in order to disrupt criminal activity, the RING task may contribute to intelligence gathering and the investigation of organised crime gangs and terrorist cells and networks.


2016 ◽  
Vol 52 (59) ◽  
pp. 9197-9204 ◽  
Author(s):  
Jeffrey T. La Belle ◽  
Anngela Adams ◽  
Chi-En Lin ◽  
Erica Engelschall ◽  
Breanna Pratt ◽  
...  

Tear glucose sensing for diabetes management has long been sought as an alternative to more invasive self-monitoring of blood glucose (SMBG).


RSC Advances ◽  
2020 ◽  
Vol 10 (63) ◽  
pp. 38369-38377
Author(s):  
Danhua Ge ◽  
Yunqi Yang ◽  
Xiao Ni ◽  
Jinnan Dong ◽  
Qianying Qiu ◽  
...  

Co3O4 hollow nanoprisms based non-enzymatic glucose sensor were prepared by a self-template process, exhibiting wide linear range, good selectivity and stability, which can directly monitoring blood glucose without any dilution pretreatment.


2020 ◽  
Vol 26 (4) ◽  
pp. 647-670
Author(s):  
Bari L. Bendell ◽  
Diane M. Sullivan ◽  
Kathrin J. Hanek

PurposeThe purpose of this paper is to investigate differences in how men and women small- and medium-sized enterprise (SME) entrepreneurs make decisions regarding whether to invest in technologies for their firms. Answering recent calls for a gendered perspective in entrepreneurial decision-making, this study integrates premises from social identity theory and role congruity theory to help explain innovation investment decisions among male and female SME entrepreneurs.Design/methodology/approachUsing data from 121 SME entrepreneurs in the dry cleaning industry, the authors employ a conjoint experimental methodology to capture decisions SME entrepreneurs make to adopt or reject an environment-friendly dry cleaning technology. The authors examine the role gender, firm revenue, technology price, and technology complexity play in entrepreneur investment decisions.FindingsThe authors find that gender indirectly impacts innovation purchase decisions through interactions with firm revenue and key innovation characteristics. Women SME entrepreneurs were less likely to purchase the technology than their male counterparts at low (and high) firm revenue, high innovation price, and high innovation complexity—all highly risky, masculine, choice contexts.Research limitations/implicationsThese findings suggest that men and women's entrepreneurial investment decisions might be shaped by gender stereotypes. Future research should sample additional industries and determine the norms guiding gendered decision-making.Originality/valueBeyond the decision to launch a new venture, this multi-level analysis, using the lens of social identity and role congruity theories, helps illuminate how men and women SME entrepreneurs approach innovation investment decision-making in significantly different—and gender role consistent—ways.


Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 2370-PUB
Author(s):  
CARRIE J. SZABLOWSKI ◽  
KARMEN R. MERCER ◽  
MILBEN MANALANG ◽  
EMILY SUSCHA ◽  
KEITH MOSKOWITZ ◽  
...  
Keyword(s):  

Diabetes ◽  
1990 ◽  
Vol 39 (12) ◽  
pp. 1519-1526 ◽  
Author(s):  
J. C. Armour ◽  
J. Y. Lucisano ◽  
B. D. McKean ◽  
D. A. Gough
Keyword(s):  

2019 ◽  
Vol 25 (3) ◽  
pp. 378-396 ◽  
Author(s):  
Arian Razmi-Farooji ◽  
Hanna Kropsu-Vehkaperä ◽  
Janne Härkönen ◽  
Harri Haapasalo

Purpose The purpose of this paper is twofold: first, to understand data management challenges in e-maintenance systems from a holistically viewpoint through summarizing the earlier scattered research in the field, and second, to present a conceptual approach for addressing these challenges in practice. Design/methodology/approach The study is realized as a combination of a literature review and by the means of analyzing the practices on an industry leader in manufacturing and maintenance services. Findings This research provides a general understanding over data management challenges in e-maintenance and summarizes their associated proposed solutions. In addition, this paper lists and exemplifies different types and sources of data which can be collected in e-maintenance, across different organizational levels. Analyzing the data management practices of an e-maintenance industry leader provides a conceptual approach to address identified challenges in practice. Research limitations/implications Since this paper is based on studying the practices of a single company, it might be limited to generalize the results. Future research topics can focus on each of mentioned data management challenges and also validate the applicability of presented model in other companies and industries. Practical implications Understanding the e-maintenance-related challenges helps maintenance managers and other involved stakeholders in e-maintenance systems to better solve the challenges. Originality/value The so-far literature on e-maintenance has been studied with narrow focus to data and data management in e-maintenance appears as one of the less studied topics in the literature. This research paper contributes to e-maintenance by highlighting the deficiencies of the discussion surrounding the perspectives of data management in e-maintenance by studying all common data management challenges and listing different types of data which need to be acquired in e-maintenance systems.


Author(s):  
Craig R. Carter ◽  
Marc R. Hatton ◽  
Chao Wu ◽  
Xiangjing Chen

Purpose The purpose of this paper is to update the work of Carter and Easton (2011), by conducting a systematic review of the sustainable supply chain management (SSCM) literature in the primary logistics and supply chain management journals, during the 2010–2018 timeframe. Design/methodology/approach The authors use a systematic literature review (SLR) methodology which follows the methodology employed by Carter and Easton (2011). An evaluation of this methodology, using the Modified AMSTAR criteria, demonstrates a high level of empirical validity. Findings The field of SSCM continues to evolve with changes in substantive focus, theoretical lenses, unit of analysis, methodology and type of analysis. However, there are still abundant future research opportunities, including investigating under-researched topics such as diversity and human rights/working conditions, employing the group as the unit of analysis and better addressing empirical validity and social desirability bias. Research limitations/implications The findings result in prescriptions and a broad agenda to guide future research in the SSCM arena. The final section of the paper provides additional avenues for future research surrounding theory development and decision making. Originality/value This SLR provides a rigorous, methodologically valid review of the continuing evolution of empirical SSCM research over a 28-year time period.


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