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Smart Materials and Technology for Biological and Medical Sensor Applications
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Smart Materials and Technology for Biological and Medical Sensor Applications

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

Deadline for manuscript submissions: closed (31 October 2022) | Viewed by 15369

Special Issue Editors

Dr. Azhar Zam

E-Mail Website
Guest Editor
Biomedical Laser and Optics Group (BLOG), Department of Biomedical Engineering, University of Basel, Basel, Switzerland
Interests: smart laser surgery; optical coherence tomography (OCT); photoacoustic; optical biosensors; optical-based smart wearable sensors and miniaturized systems; smart optical systems; laser–tissue interaction; tissue optics; biomedical spectroscopy and imaging; optical molecular imaging
Special Issues, Collections and Topics in MDPI journals
Dr. Kuwat Triyana

E-Mail Website
Guest Editor
Department of Physics, Faculty of Mathematics and Natural Sciences, University of Gadjah Mada, Indonesia
Interests: chemical sensors; electronic nose; electronic tongue; biosensors
Dr. Dedy H.B. Wicaksono

E-Mail Website
Guest Editor
Department of Biomedical Engineering, Faculty of Life Sciences and Technology, Swiss German University, Tangerang, Indonesia
Interests: microfluidics; textile-based biomedical device; biomechanics; biomedical sensors; nanomaterials for biomedical sensors

Special Issue Information

Dear Colleagues,

Recent advances in nano- and smart-materials, biomimetics, sensor technologies, wearable systems, miniaturized sensors, and advanced data analysis are revolutionizing how we provide medical treatment and diagnostic care. Smart sensors utilizing novel nanomaterials and embedded intelligence will play a crucial role in early monitoring and detection of diseases, assessing the efficacy of therapies, and providing rapid, low-cost, and non-invasive diagnoses. 

This Special Issue is focused on novel smart sensors and their applications in life sciences, biotechnology, and medical practice. We strongly encourage the submission of papers focusing on the keywords below. However, works on related topics will also be considered. 

Prof. Dr. Azhar Zam
Dr. Kuwat Triyana
Dr. Dedy H.B. Wicaksono
Guest Editors

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

  • Nanomaterials for sensor applications
  • Biomimetic approaches in sensing and sensors
  • Optical sensors
  • Fiber-based sensors
  • Biomedical sensors
  • Miniaturized sensors
  • Wearable sensors
  • Artificial Intelligence
  • Deep learning
  • Machine learning
  • Physical sensors
  • Biosensors
  • Chemosensors

Published Papers (4 papers)

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Research

13 pages, 38843 KiB  
Article
Facile Synthesis of Polyaniline/Carbon-Coated Hollow Indium Oxide Nanofiber Composite with Highly Sensitive Ammonia Gas Sensor at the Room Temperature
by Sheng-Zhe Hong, Qing-Yi Huang and Tzong-Ming Wu
Sensors 2022, 22(4), 1570; https://doi.org/10.3390/s22041570 - 17 Feb 2022
Cited by 6 | Viewed by 1849
Abstract
Hollow carbon-coated In2O3 (C#In2O3) nanofibers were prepared using an efficiently combined approach of electrospinning, high-temperature calcination, and hydrothermal process. The polyaniline (PANI)/hollow C#In2O3 nanofiber composites were synthesized used hollow C#In2O3 [...] Read more.
Hollow carbon-coated In2O3 (C#In2O3) nanofibers were prepared using an efficiently combined approach of electrospinning, high-temperature calcination, and hydrothermal process. The polyaniline (PANI)/hollow C#In2O3 nanofiber composites were synthesized used hollow C#In2O3 nanofibers worked as a core through the in situ chemical oxidative polymerization. The morphology and crystalline structure of the PANI/hollow C#In2O3 nanofiber composite were identified using wide-angle X-ray diffraction and transmission electron microscopy. The gas-sensing performances of the fabricated PANI/hollow C#In2O3 nanofiber composite sensor were estimated at room temperature, and the response value of the composite sensor with an exposure of 1 ppm NH3 was 18.2, which was about 5.74 times larger than that of the pure PANI sensor. The PANI/hollow C#In2O3 nanofiber composite sensor was demonstrated to be highly sensitive to the detection of NH3 in the concentration range of 0.6~2.0 ppm, which is critical for kidney or hepatic disease detection from the human breath. This composite sensor also displayed superior repeatability and selectivity at room temperature with exposures of 1.0 and 2.0 ppm NH3. Because of the outstanding repeatability and selectivity to the detection of NH3 at 1.0 and 2.0 ppm confirmed in this investigation, the PANI/hollow C#In2O3 nanofiber composite sensor will be considered as a favorable gas-sensing material for kidney or hepatic disease detection from human breath. Full article
(This article belongs to the Special Issue Smart Materials and Technology for Biological and Medical Sensor Applications)
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13 pages, 4643 KiB  
Article
Innovative Non-Enzymatic Electrochemical Quantification of Cholesterol
by Oana Elena Carp, Mariana Pinteala and Adina Arvinte
Sensors 2022, 22(3), 828; https://doi.org/10.3390/s22030828 - 22 Jan 2022
Cited by 2 | Viewed by 3382
Abstract
The use of the Liebermann–Burchard reaction in this study has been explored in the development of a simple, reliable, and robust quantitative electrochemical method to assay cholesterol, and hence provide a good alternative to colorimetric methods. The optimization of batch mode operation for [...] Read more.
The use of the Liebermann–Burchard reaction in this study has been explored in the development of a simple, reliable, and robust quantitative electrochemical method to assay cholesterol, and hence provide a good alternative to colorimetric methods. The optimization of batch mode operation for electrochemical oxidation of cholesterol in the Liebermann–Burchard reagents included the applied potential and acidic volume. Tested using chronoamperometry, the developed method showed a high sensitivity (14.959 μA mM−1) and low detection limit (19.78 nM) over a 0.025–3 mM concentration range, with remarkable linearity (R2 = 0.999), proving an analytical performance either higher or comparable to most of the cholesterol sensors discussed in literature. The influence of possible interfering bioactive agents, namely, glucose, uric acid, ascorbic acid, KCl and NaCl, has been evaluated with no or negligible effects on the measurement of cholesterol. Our study was directed at finding a new approach to chemical processing arising from the use of external potential as an additional level of control for chemical reactions and the transfer of electrons between surfaces and molecules. Finally, the optimized method was successfully applied for the determination of cholesterol content in real blood samples. Full article
(This article belongs to the Special Issue Smart Materials and Technology for Biological and Medical Sensor Applications)
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15 pages, 11664 KiB  
Article
Application of an Intelligent Sensor and Active Packaging System Based on the Bacterial Cellulose of Acetobacter xylinum to Meat Products
by Andi Dirpan, Muspirah Djalal and Irma Kamaruddin
Sensors 2022, 22(2), 544; https://doi.org/10.3390/s22020544 - 11 Jan 2022
Cited by 19 | Viewed by 5607
Abstract
Combining intelligent and active packaging serves the dual purpose of detecting color changes in food that reflect changes in its quality and prolonging its shelf life. This study developed an intelligent and active packaging system made from the cellulose of Acetobacter xylinum and [...] Read more.
Combining intelligent and active packaging serves the dual purpose of detecting color changes in food that reflect changes in its quality and prolonging its shelf life. This study developed an intelligent and active packaging system made from the cellulose of Acetobacter xylinum and assessed its ability to detect changes in the quality and to increase shelf-life of packaged fresh beef. The properties of the intelligent packaging’s sensor and active packaging films were determined. The application of this system to fresh beef stored at room temperature (28 ± 2 °C) for 24 h was tested. The color of the bromothymol blue (BTB) solution (pH 2.75) in the indicator of the intelligent packaging system changed from orange to dark green to indicate that beef quality changed from fresh to rotten. The meat treated with the active packaging with 10% and 15% garlic extract decayed on the 16th h. In contrast, the meat treated with the active packaging without the garlic extracts rotted on the 12th h. The shift in the indicator’s color was linearly related to the total plate count (TPC), total volatile basic nitrogen (TVBN), and pH of the meat packaged using the active packaging system. Therefore, BTB solution (pH 2.75) can be used as an intelligent packaging indicator that will allow consumers to assess the quality of packaged meat easily. As an antimicrobial agent, the addition of 10–15% garlic extract to the active packaging films can help delay the spoilage of packaged beef. Full article
(This article belongs to the Special Issue Smart Materials and Technology for Biological and Medical Sensor Applications)
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13 pages, 4181 KiB  
Article
Rapid Fluorescence Quenching Detection of Escherichia coli Using Natural Silica-Based Nanoparticles
by S. N. Aisyiyah Jenie, Yuni Kusumastuti, Fransiska S. H. Krismastuti, Yovilianda M. Untoro, Rizna T. Dewi, Linar Z. Udin and Nina Artanti
Sensors 2021, 21(3), 881; https://doi.org/10.3390/s21030881 - 28 Jan 2021
Cited by 17 | Viewed by 3261
Abstract
The development of fluorescent silica nanoparticles (SNP-RB) from natural amorphous silica and its performance as an Escherichia coli (E. coli) biosensor is described in this paper. SNP-RB was derived from silica recovered from geothermal installation precipitation and modified with the dye, [...] Read more.
The development of fluorescent silica nanoparticles (SNP-RB) from natural amorphous silica and its performance as an Escherichia coli (E. coli) biosensor is described in this paper. SNP-RB was derived from silica recovered from geothermal installation precipitation and modified with the dye, Rhodamine B. The Fourier Infrared (FTIR) confirms the incorporation of Rhodamine B in the silica matrix. Transmission Electron Microscopy (TEM) micrographs show that the SNP-RB had an irregular structure with a particle diameter of about 20–30 nm. The maximum fluorescence spectrum of SNP-RB was recorded at 580 nm, which was further applied to observe the detection performance of the fluorescent nanoparticles towards E. coli. The sensing principle was based on the fluorescence-quenching mechanism of SNP-RB and this provided a wide linear E. coli concentration range of 10–105 CFU/mL with a limit detection of 8 CFU/mL. A rapid response time was observed after only 15 min of incubation of SNP-RB with E. coli. The selectivity of the biosensor was demonstrated and showed that the SNP-RB only gave quenching response only to live E. coli bacteria. The use of SNP-RB as a sensing platform reduced the response time significantly compared to conventional 3-day bacterial assays, as well having excellent analytical performance in terms of sensitivity and selectivity. Full article
(This article belongs to the Special Issue Smart Materials and Technology for Biological and Medical Sensor Applications)
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