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Nanomaterials
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Nanostructured Materials and Their Composites for Biosensing Applications (2nd Edition)
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Nanostructured Materials and Their Composites for Biosensing Applications (2nd Edition)

A special issue of Nanomaterials (ISSN 2079-4991). This special issue belongs to the section "Biology and Medicines".

Deadline for manuscript submissions: 20 September 2024 | Viewed by 1261

Special Issue Editor

Dr. Furong Tian

E-Mail Website
Guest Editor
School of Food Science Environmental Health, Technological University Dublin, Dublin, Ireland
Interests: disease diagnostics and treatment; smart multifunctional molecular imaging nanoprobes; ultrasensitive detection technologies and devices; tumor biomarkers
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Nanostructured materials and their composites, used for biosensing, have been used in industrial applications for decades. Sensing via biological moieties has outmoded conventional diagnosis vis à vis processing time, skilled manpower and detection accuracy. Nanomaterials have impelled biological sensing accuracy and robustness comprising lateral flow assays and tunable electrochemical and physico-mechanical responses due to their versatile shape- and size-dependent physical and chemical attributes. To date, the most widely used nanomaterials for biosensing include Au nanoparticles, graphene-based assemblies, carbon nanotubes and magnetic nanoparticles. Steadfast preparation mechanisms and stout surface engineering are mainly responsible for the biosensing suitability of these entities.

Nanomaterials as sensors have been employed in salmonella bacterial detection, chronic lateral ankle instability monitoring, enhanced gene delivery and uric acid and hypoxanthine analysis.

The second volume will keep focusing on research papers, communications and review articles showcasing the novel manufacturing process of nanostructured materials and their composites for biosensing applications.

Dr. Furong Tian
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. Nanomaterials 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 2900 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

  • rapid diagnostic test
  • lateral flow assay
  • novel metal nanoparticles
  • graphene
  • magnetic nanoparticles
  • polymer
  • surface functionalization
  • colorimetric biosensors
  • electrochemical biosensors
  • biosensor arrays

Published Papers (1 paper)

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Review

24 pages, 2812 KiB  
Review
Review of Detection Limits for Various Techniques for Bacterial Detection in Food Samples
by Xinyi Zhao, Abhijnan Bhat, Christine O’Connor, James Curtin, Baljit Singh and Furong Tian
Nanomaterials 2024, 14(10), 855; https://doi.org/10.3390/nano14100855 - 14 May 2024
Viewed by 1055
Abstract
Foodborne illnesses can be infectious and dangerous, and most of them are caused by bacteria. Some common food-related bacteria species exist widely in nature and pose a serious threat to both humans and animals; they can cause poisoning, diseases, disabilities and even death. [...] Read more.
Foodborne illnesses can be infectious and dangerous, and most of them are caused by bacteria. Some common food-related bacteria species exist widely in nature and pose a serious threat to both humans and animals; they can cause poisoning, diseases, disabilities and even death. Rapid, reliable and cost-effective methods for bacterial detection are of paramount importance in food safety and environmental monitoring. Polymerase chain reaction (PCR), lateral flow immunochromatographic assay (LFIA) and electrochemical methods have been widely used in food safety and environmental monitoring. In this paper, the recent developments (2013–2023) covering PCR, LFIA and electrochemical methods for various bacterial species (Salmonella, Listeria, Campylobacter, Staphylococcus aureus (S. aureus) and Escherichia coli (E. coli)), considering different food sample types, analytical performances and the reported limit of detection (LOD), are discussed. It was found that the bacteria species and food sample type contributed significantly to the analytical performance and LOD. Detection via LFIA has a higher average LOD (24 CFU/mL) than detection via electrochemical methods (12 CFU/mL) and PCR (6 CFU/mL). Salmonella and E. coli in the Pseudomonadota domain usually have low LODs. LODs are usually lower for detection in fish and eggs. Gold and iron nanoparticles were the most studied in the reported articles for LFIA, and average LODs were 26 CFU/mL and 12 CFU/mL, respectively. The electrochemical method revealed that the average LOD was highest for cyclic voltammetry (CV) at 18 CFU/mL, followed by electrochemical impedance spectroscopy (EIS) at 12 CFU/mL and differential pulse voltammetry (DPV) at 8 CFU/mL. LOD usually decreases when the sample number increases until it remains unchanged. Exponential relations (R2 > 0.95) between LODs of Listeria in milk via LFIA and via the electrochemical method with sample numbers have been obtained. Finally, the review discusses challenges and future perspectives (including the role of nanomaterials/advanced materials) to improve analytical performance for bacterial detection. Full article
(This article belongs to the Special Issue Nanostructured Materials and Their Composites for Biosensing Applications (2nd Edition))
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