Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
7.3
3.4
Journals
Sensors
Special Issues
Advanced Sensing Technology in Blood Glucose Monitoring
sensors-logo
Submit to Sensors Review for Sensors Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Advanced Sensing Technology in Blood Glucose Monitoring

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".

Deadline for manuscript submissions: closed (30 August 2023) | Viewed by 37168

Special Issue Editor

Dr. Cheng-Chih Hsu

E-Mail Website
Guest Editor
Department of Electro-Optical Engineering, National United University, Miaoli 360, Taiwan
Interests: precision measurement; optical interferometry; holography; biosensor; optical design; electrochemical sensor; nanowire sensor

Special Issue Information

Dear Colleagues,

Diabetes continues to be an increasing health burden and it will increase significantly in the following decades, particularly in low- and middle-income countries. Recent study indicated that undiagnosed diabetes is particularly sensitive to the performance of glycemic control and blood glucose diagnosis accuracy. Therefore, there is a critical need for more effort to achieve efficient diagnostics for blood glucose monitoring. This special issue aims to bring together the latest advances in research and development of measurement methods and sensors in blood glucose monitoring. This Special Issue will cover, but is not limited to, the following areas: Optical glucose sensors; Electro‑Chemical glucose sensors; Fiber glucose sensors; Wearable glucose sensors; Invasive/non-invasive glucose monitoring; Continuous glucose monitoring; Point-of-care glucose monitoring; Lab-on-chip glucose sensor; Nanostructure glucose sensor.

Dr. Cheng-Chih Hsu
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • invasive glucose monitoring
  • non-invasive glucose monitoring
  • optical glucose sensors
  • electro chemical glucose sensors
  • nanostructure glucose sensor

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (5 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

Jump to: Review

14 pages, 6227 KiB  
Article
Glucose Concentration Measurement by All-Grating-Based System
by Hung-Chih Hsieh, Yi-Ming Lu and Ke-Cheng Huang
Sensors 2023, 23(9), 4216; https://doi.org/10.3390/s23094216 - 23 Apr 2023
Viewed by 1877
Abstract
An accurate, easy setup, low-cost, and time-saving method for measuring glucose concentration was proposed. An all-grating-based glucose concentration measurement system contained moving-grating-based heterodyne interferometry and a grating-based self-align sensor. By combining the first-order diffraction lights from two separated moving gratings by a polarization [...] Read more.
An accurate, easy setup, low-cost, and time-saving method for measuring glucose concentration was proposed. An all-grating-based glucose concentration measurement system contained moving-grating-based heterodyne interferometry and a grating-based self-align sensor. By combining the first-order diffraction lights from two separated moving gratings by a polarization beam splitter and creating S- and P-polarized light interference by an analyzer, the interference signal could be a heterodyne light source with a heterodyne frequency depending on the relative velocities of the two moving gratings. Next, a grating-based self-align sensor was used to make the optical configuration setup easy and accurate. Moreover, the sensor was deposited on GOx film to improve the measurement sensitivity and specificity for glucose. Finally, the phase change induced by the reaction of the sensor and glucose solutions was detected. The validity of this method was proved, and the measurement resolution can reach 2 mg/dL. Full article
(This article belongs to the Special Issue Advanced Sensing Technology in Blood Glucose Monitoring)
►▼ Show Figures

Figure 1

17 pages, 4576 KiB  
Article
The Enzymatic Doped/Undoped Poly-Silicon Nanowire Sensor for Glucose Concentration Measurement
by Cheng-Chih Hsu, Wen-Kai Ho, Chyan-Chyi Wu and Ching-Liang Dai
Sensors 2023, 23(6), 3166; https://doi.org/10.3390/s23063166 - 16 Mar 2023
Cited by 1 | Viewed by 1655
Abstract
In this work, enzymatic doped/undoped poly-silicon nanowire sensors with different lengths were fabricated using a top-down technique to measure glucose concentration. The sensitivity and resolution of these sensors correlate well with the dopant property and length of nanowire. Experimental results indicate that the [...] Read more.
In this work, enzymatic doped/undoped poly-silicon nanowire sensors with different lengths were fabricated using a top-down technique to measure glucose concentration. The sensitivity and resolution of these sensors correlate well with the dopant property and length of nanowire. Experimental results indicate that the resolution is proportional to the nanowire length and dopant concentration. However, the sensitivity is inversely proportional to the nanowire length. The optimum resolution can be better than 0.02 mg/dL for a doped type sensor with length of 3.5 μm. Furthermore, the proposed sensor was demonstrated for 30 applications with similar current-time response and showed good repeatability. Full article
(This article belongs to the Special Issue Advanced Sensing Technology in Blood Glucose Monitoring)
►▼ Show Figures

Figure 1

16 pages, 2504 KiB  
Article
Enzymatic Glucose Fiber Sensor for Glucose Concentration Measurement with a Heterodyne Interferometry
by Cheng-Chih Hsu, Wan-Yu Chung, Chun-Yi Chang, Chyan-Chyi Wu and Cheng-Ling Lee
Sensors 2023, 23(6), 2990; https://doi.org/10.3390/s23062990 - 9 Mar 2023
Cited by 4 | Viewed by 2453
Abstract
In this study, we developed a glucose fiber sensor incorporating heterodyne interferometry to measure the phase difference produced by the chemical reaction between glucose and glucose oxidase (GOx). Both theoretical and experimental results showed that the amount of phase variation is inversely proportional [...] Read more.
In this study, we developed a glucose fiber sensor incorporating heterodyne interferometry to measure the phase difference produced by the chemical reaction between glucose and glucose oxidase (GOx). Both theoretical and experimental results showed that the amount of phase variation is inversely proportional to glucose concentration. The proposed method provided a linear measurement range of the glucose concentration from 10 mg/dL to 550 mg/dL. The experimental results indicated that the sensitivity is proportional to the length of the enzymatic glucose sensor, and the optimum resolution can be obtained at a sensor length of 3 cm. The optimum resolution of the proposed method is better than 0.6 mg/dL. Moreover, the proposed sensor demonstrates good repeatability and reliability. The average relative standard deviation (RSD) is better than 10% and satisfied the minimum requirement for point-of-care devices. Full article
(This article belongs to the Special Issue Advanced Sensing Technology in Blood Glucose Monitoring)
►▼ Show Figures

Figure 1

25 pages, 2277 KiB  
Article
A Federated Learning-Inspired Evolutionary Algorithm: Application to Glucose Prediction
by Ivanoe De Falco, Antonio Della Cioppa, Tomas Koutny, Martin Ubl, Michal Krcma, Umberto Scafuri and Ernesto Tarantino
Sensors 2023, 23(6), 2957; https://doi.org/10.3390/s23062957 - 8 Mar 2023
Cited by 14 | Viewed by 3007
Abstract
In this paper, we propose an innovative Federated Learning-inspired evolutionary framework. Its main novelty is that this is the first time that an Evolutionary Algorithm is employed on its own to directly perform Federated Learning activity. A further novelty resides in the fact [...] Read more.
In this paper, we propose an innovative Federated Learning-inspired evolutionary framework. Its main novelty is that this is the first time that an Evolutionary Algorithm is employed on its own to directly perform Federated Learning activity. A further novelty resides in the fact that, differently from the other Federated Learning frameworks in the literature, ours can efficiently deal at the same time with two relevant issues in Machine Learning, i.e., data privacy and interpretability of the solutions. Our framework consists of a master/slave approach in which each slave contains local data, protecting sensible private data, and exploits an evolutionary algorithm to generate prediction models. The master shares through the slaves the locally learned models that emerge on each slave. Sharing these local models results in global models. Being that data privacy and interpretability are very significant in the medical domain, the algorithm is tested to forecast future glucose values for diabetic patients by exploiting a Grammatical Evolution algorithm. The effectiveness of this knowledge-sharing process is assessed experimentally by comparing the proposed framework with another where no exchange of local models occurs. The results show that the performance of the proposed approach is better and demonstrate the validity of its sharing process for the emergence of local models for personal diabetes management, usable as efficient global models. When further subjects not involved in the learning process are considered, the models discovered by our framework show higher generalization capability than those achieved without knowledge sharing: the improvement provided by knowledge sharing is equal to about 3.03% for precision, 1.56% for recall, 3.17% for F1, and 1.56% for accuracy. Moreover, statistical analysis reveals the statistical superiority of model exchange with respect to the case of no exchange taking place. Full article
(This article belongs to the Special Issue Advanced Sensing Technology in Blood Glucose Monitoring)
►▼ Show Figures

Figure 1

Review

Jump to: Research

36 pages, 8269 KiB  
Review
Non-Invasive Glucose Sensing Technologies and Products: A Comprehensive Review for Researchers and Clinicians
by Daria Di Filippo, Frédérique N. Sunstrum, Jawairia Umar Khan and Alec W. Welsh
Sensors 2023, 23(22), 9130; https://doi.org/10.3390/s23229130 - 12 Nov 2023
Cited by 25 | Viewed by 27382
Abstract
Diabetes Mellitus incidence and its negative outcomes have dramatically increased worldwide and are expected to further increase in the future due to a combination of environmental and social factors. Several methods of measuring glucose concentration in various body compartments have been described in [...] Read more.
Diabetes Mellitus incidence and its negative outcomes have dramatically increased worldwide and are expected to further increase in the future due to a combination of environmental and social factors. Several methods of measuring glucose concentration in various body compartments have been described in the literature over the years. Continuous advances in technology open the road to novel measuring methods and innovative measurement sites. The aim of this comprehensive review is to report all the methods and products for non-invasive glucose measurement described in the literature over the past five years that have been tested on both human subjects/samples and tissue models. A literature review was performed in the MDPI database, with 243 articles reviewed and 124 included in a narrative summary. Different comparisons of techniques focused on the mechanism of action, measurement site, and machine learning application, outlining the main advantages and disadvantages described/expected so far. This review represents a comprehensive guide for clinicians and industrial designers to sum the most recent results in non-invasive glucose sensing techniques’ research and production to aid the progress in this promising field. Full article
(This article belongs to the Special Issue Advanced Sensing Technology in Blood Glucose Monitoring)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-5
Back to TopTop