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Biosensors
Special Issues
Application of Biosensors in Environmental Monitoring
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Application of Biosensors in Environmental Monitoring

A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Environmental Biosensors and Biosensing".

Deadline for manuscript submissions: 30 November 2024 | Viewed by 1171

Special Issue Editor

Dr. Christina Siontorou

E-Mail Website
Guest Editor
Department of Industrial Management and Technology, School of Maritime and Industry, University of Piraeus, 18534 Piraeus, Greece
Interests: nanosensors; biomonitoring networks; multi-array sensors; clinical diagnostics; sensor standardization; fault diagnostics (online/offline); environmental management; knowledge management; technology trajectories
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The integration of biosensors in environmental monitoring has emerged as a pivotal research area, promoting their potential to address contemporary challenges and their flexibility in meeting field monitoring needs. The forthcoming Special Issue seeks to highlight cutting-edge advancements and foster dialogue on the key topics shaping this field.

One crucial theme revolves around the development of biosensors for the detection of environmental pollutants at low to ultra-low levels: heavy metals, pesticides, emerging contaminants, biothreat agents, pathogens, toxins, hormone disruptors, nutrients, etc. The submission of articles that explore novel biosensor designs and materials in order to enhance sensitivity and selectivity in pollutant water and soil detection is highly encouraged. The development of biosensors for marine applications is also of particular interest.

Additionally, this Special Issue aims to emphasize the role played by biosensors in the assessment of air quality. With urbanization and industrial activities impacting these crucial resources, biosensors offer a rapid and real-time monitoring solution. Papers addressing the design and application of biosensors for the tracking of various air quality parameters will contribute significantly to this discourse.

Furthermore, this Special Issue welcomes submissions that focus on the integration of biosensors with emerging technologies such as artificial intelligence, IoT, and nanotechnology. Collaborative efforts in these interdisciplinary areas could revolutionize the precision, scalability, and accessibility of environmental monitoring systems.

In addition, research on biosensor standardization, development guidelines, environmental applicability, technology trajectories, computer-aided design, 3D printing applications and the reliability of device operations are welcomed.

In summary, this Special Issue seeks papers that are at the forefront of biosensor technology and aims to present its real-world application in the environment, offering practical solutions in order to safeguard successful implementations.

Dr. Christina Siontorou
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. Biosensors is an international peer-reviewed open access monthly 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 2700 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 development
  • environmental monitoring
  • sensitivity enhancement
  • selectivity optimization
  • emerging contaminants
  • real-time detection
  • IoT integration
  • nanotechnology applications
  • sustainable sensing
  • field deployability

Published Papers (2 papers)

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Research

13 pages, 7284 KiB  
Article
Design a Friendly Nanoscale Chemical Sensor Based on Gold Nanoclusters for Detecting Thiocyanate Ions in Food Industry Applications
by Reham Ali and Sayed M. Saleh
Biosensors 2024, 14(5), 223; https://doi.org/10.3390/bios14050223 - 30 Apr 2024
Viewed by 260
Abstract
The surfactant cetyltrimethylammonium bromide (CTAB) induces the aggregation of gold nanoclusters (GNCs), leading to the development of a proposed fluorometric technique for detecting thiocyanate (SCN−) ions based on an anti-aggregation mechanism. This approach is straightforward to execute, highly sensitive, and selective. [...] Read more.
The surfactant cetyltrimethylammonium bromide (CTAB) induces the aggregation of gold nanoclusters (GNCs), leading to the development of a proposed fluorometric technique for detecting thiocyanate (SCN−) ions based on an anti-aggregation mechanism. This approach is straightforward to execute, highly sensitive, and selective. A significant quenching effect occurs in fluorescence upon using the aggregation agent CTAB in GNCs synthesis, resulting in a transition from intense red fluorescence to dim red. The decrease in fluorescence intensity of GNCs in the presence of CTAB is caused by the mechanism of fluorescence quenching mediated by aggregation. As the levels of SCN− rise, the fluorescence of CTAB-GNCs increases; this may be detected using spectrofluorometry or by visually inspecting under UV irradiation. The recovery of red fluorescence of CTAB-GNCs in the presence of SCN− enables the precise and discerning identification of SCN− within the concentration range of 2.86–140 nM. The minimum detectable concentration of the SCN− ions was 1 nM. The selectivity of CTAB-GNCs towards SCN− ions was investigated compared to other ions, and it was demonstrated that CTAB-GNCs exhibit exceptional selectivity. Furthermore, we believe that CTAB-GNCs have novel possibilities as favorable sensor candidates for various industrial applications. Our detection technique was validated by analyzing SCN− ions in milk samples, which yielded promising results. Full article
(This article belongs to the Special Issue Application of Biosensors in Environmental Monitoring)
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17 pages, 6440 KiB  
Article
Pulse Feature-Enhanced Classification of Microalgae and Cyanobacteria Using Polarized Light Scattering and Fluorescence Signals
by Ran Bi, Jianxiong Yang, Chengqi Huang, Xiaoyu Zhang, Ran Liao and Hui Ma
Biosensors 2024, 14(4), 160; https://doi.org/10.3390/bios14040160 - 28 Mar 2024
Viewed by 759
Abstract
Harmful algal blooms (HABs) pose a global threat to the biodiversity and stability of local aquatic ecosystems. Rapid and accurate classification of microalgae and cyanobacteria in water is increasingly desired for monitoring complex water environments. In this paper, we propose a pulse feature-enhanced [...] Read more.
Harmful algal blooms (HABs) pose a global threat to the biodiversity and stability of local aquatic ecosystems. Rapid and accurate classification of microalgae and cyanobacteria in water is increasingly desired for monitoring complex water environments. In this paper, we propose a pulse feature-enhanced classification (PFEC) method as a potential solution. Equipped with a rapid measurement prototype that simultaneously detects polarized light scattering and fluorescence signals of individual particles, PFEC allows for the extraction of 38 pulse features to improve the classification accuracy of microalgae, cyanobacteria, and other suspended particulate matter (SPM) to 89.03%. Compared with microscopic observation, PFEC reveals three phyla proportions in aquaculture samples with an average error of less than 14%. In this paper, PFEC is found to be more accurate than the pulse-average classification method, which is interpreted as pulse features carrying more detailed information about particles. The high consistency of the dominant and common species between PFEC and microscopy in all field samples also demonstrates the flexibility and robustness of the former. Moreover, the high Pearson correlation coefficient accounting for 0.958 between the cyanobacterial proportion obtained by PFEC and the cyanobacterial density given by microscopy implies that PFEC serves as a promising early warning tool for cyanobacterial blooms. The results of this work suggest that PFEC holds great potential for the rapid and accurate classification of microalgae and cyanobacteria in aquatic environment monitoring. Full article
(This article belongs to the Special Issue Application of Biosensors in Environmental Monitoring)
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