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Optical Biosensing for Emerging Healthcare Applications
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Optical Biosensing for Emerging Healthcare Applications

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

Deadline for manuscript submissions: closed (31 May 2022) | Viewed by 5176

Special Issue Editor

Dr. Ian Sandall

E-Mail Website
Guest Editor
Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool L69 3BX, UK
Interests: optical biosensors; novel semiconductor materials and devices

Special Issue Information

Dear Colleagues,

Biosensors utilizing optical techniques such as spectroscopy, ellipsometry, surface plasmon resonance, ring resonators, optical enhancement due to waveguides and nanoparticles have gained significant traction and interest for use in healthcare applications.

Especially in the last decade, advances in micro- and nanofabrication techniques coupled with an increasing desire for point of care diagnosis have led to significant advances in the development of optical biosensors.

Dr. Ian Sandall
Guest Editor

Manuscript Submission Information

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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

  • biosensor
  • healthcare sensing
  • ring resonator
  • surface plasmon resonance
  • smart phone based diagnosis
  • point of care diagnosis
  • wearable biosensors
  • optical
  • lab on a chip
  • fluorescence detection

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Published Papers (2 papers)

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Research

15 pages, 1698 KiB  
Article
Assessing Nordihydroguaiaretic Acid Therapeutic Effect for Glioblastoma Multiforme
by Felicia S. Manciu, Jose Guerrero, Kevin E. Bennet, Su-Youne Chang, Masum Rahman, Lizbeth V. Martinez Lopez, Siobhan Chantigian, Mariana Castellanos and Marian Manciu
Sensors 2022, 22(7), 2643; https://doi.org/10.3390/s22072643 - 30 Mar 2022
Cited by 7 | Viewed by 2361
Abstract
In this study, we demonstrate that Raman microscopy combined with computational analysis is a useful approach to discriminating accurately between brain tumor bio-specimens and to identifying structural changes in glioblastoma (GBM) bio-signatures after nordihydroguaiaretic acid (NDGA) administration. NDGA phenolic lignan was selected as [...] Read more.
In this study, we demonstrate that Raman microscopy combined with computational analysis is a useful approach to discriminating accurately between brain tumor bio-specimens and to identifying structural changes in glioblastoma (GBM) bio-signatures after nordihydroguaiaretic acid (NDGA) administration. NDGA phenolic lignan was selected as a potential therapeutic agent because of its reported beneficial effects in alleviating and inhibiting the formation of multi-organ malignant tumors. The current analysis of NDGA’s impact on GBM human cells demonstrates a reduction in the quantity of altered protein content and of reactive oxygen species (ROS)-damaged phenylalanine; results that correlate with the ROS scavenger and anti-oxidant properties of NDGA. A novel outcome presented here is the use of phenylalanine as a biomarker for differentiating between samples and assessing drug efficacy. Treatment with a low NDGA dose shows a decline in abnormal lipid-protein metabolism, which is inferred by the formation of lipid droplets and a decrease in altered protein content. A very high dose results in cell structural and membrane damage that favors transformed protein overexpression. The information gained through this work is of substantial value for understanding NDGA’s beneficial as well as detrimental bio-effects as a potential therapeutic drug for brain cancer. Full article
(This article belongs to the Special Issue Optical Biosensing for Emerging Healthcare Applications)
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14 pages, 2387 KiB  
Article
Hydrogel Microparticles for Fluorescence Detection of miRNA in Mix-Read Bioassay
by Alessia Mazzarotta, Tania Mariastella Caputo, Edmondo Battista, Paolo Antonio Netti and Filippo Causa
Sensors 2021, 21(22), 7671; https://doi.org/10.3390/s21227671 - 18 Nov 2021
Cited by 5 | Viewed by 2334
Abstract
Herein we describe the development of a mix-read bioassay based on a three-dimensional (3D) poly ethylene glycol—(PEG)-hydrogel microparticles for the detection of oligonucleotides in complex media. The key steps of hydrogels synthesis and molecular recognition in a 3D polymer network are elucidated. The [...] Read more.
Herein we describe the development of a mix-read bioassay based on a three-dimensional (3D) poly ethylene glycol—(PEG)-hydrogel microparticles for the detection of oligonucleotides in complex media. The key steps of hydrogels synthesis and molecular recognition in a 3D polymer network are elucidated. The design of the DNA probes and their density in polymer network were opportunely optimized. Furthermore, the diffusion into the polymer was tuned adjusting the polymer concentration and consequently the characteristic mesh size. Upon parameters optimization, 3D-PEG-hydrogels were synthetized in a microfluidic system and provided with fluorescent probe. Target detection occurred by double strand displacement assay associated to fluorescence depletion within the hydrogel microparticle. Proposed 3D-PEG-hydrogel microparticles were designed for miR-143-3p detection. Results showed 3D-hydrogel microparticles with working range comprise between 10−6–10−12 M, had limit of detection of 30 pM and good specificity. Moreover, due to the anti-fouling properties of PEG-hydrogel, the target detection occurred in human serum with performance comparable to that in buffer. Due to the approach versatility, such design could be easily adapted to other short oligonucleotides detection. Full article
(This article belongs to the Special Issue Optical Biosensing for Emerging Healthcare Applications)
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