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Biosensors
Special Issues
Optical Biosensors for Environmental Monitoring
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Optical Biosensors for 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: 31 December 2025 | Viewed by 502

Special Issue Editors

Dr. Lijun Luo

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Guest Editor
Key Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education, School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Interests: aptasensor; nanomaterials; electrochemistry; Electrochemiluminescence
Dr. Xin Li

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Guest Editor
CAS Key Laboratory of Chemistry of Northwestern Plant Resources, Key Laboratory for Natural Medicine of Gansu Province, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, Lanzhou 730000, China
Interests: nanocatalysts; analytical chemistry; biosensor; nanozymes
Special Issues, Collections and Topics in MDPI journals
Dr. Xuechao Xu

E-Mail Website
Guest Editor
College of Food Science and Engineering, Yangzhou University, Yangzhou, Jiangsu 225127, China
Interests: food ingredient rapid detection technology; sensors
Special Issues, Collections and Topics in MDPI journals
Dr. Hengjia Zhu

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Guest Editor
School of Environmental and Chemical Engineering, Jiangsu University of Science and Technology, Zhenjiang 212100, China
Interests: nanozyme; environmental analysis; optical biosensing

Special Issue Information

Dear Colleagues,

With the increasing severity of environmental pollution issues such as heavy metal contamination, mycotoxin poisoning, pesticide residue exceedance, and water quality monitoring, optical biosensors have garnered significant attention due to their low background, rapid response, and real-time monitoring. Therefore, the main topic of this Special Issue is environmental detection based on optical biosensors. An optical biosensor is a type of analytical device that is applied to detect chemical and biological substances by converting their concentration into optical signals for output. Biosensors consist of biological recognition components including DNA, antibodies, enzymes, aptamers and optical transducers such as fluorescence, colorimetric, electrochemiluminescence, and electrochromic detectors. However, optical biosensors still face many challenges, such as the sensitivity, specificity, and integration of multiple technologies, as well as simplified detection methods, visual portable analysis, real-time monitoring, etc.

This Special Issue of Biosensors aims to supply a platform for publishing original high-quality research papers and comprehensive reviews related to optical nanomaterials and their application in biosensors for environmental monitoring. Any type of experimental and theoretical research about biosensors in nanotechnology is welcome.

Dr. Lijun Luo
Dr. Xin Li
Dr. Xuechao Xu
Dr. Hengjia Zhu
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. 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 2200 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
  • nanozymes
  • optical
  • fluorescence sensors
  • colorimetric sensors
  • electrochemiluminescence sensors
  • electrochromic sensors
  • photoelectrochemical sensor
  • surface-enhanced Raman scattering sensors
  • environmental monitoring

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Published Papers (1 paper)

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Research

20 pages, 5073 KiB  
Article
Study on Detection Method of Sulfamethazine Residues in Duck Blood Based on Surface-Enhanced Raman Spectroscopy
by Junshi Huang, Runhua Zhou, Jinlong Lin, Qi Chen, Ping Liu, Shuanggen Huang and Jinhui Zhao
Biosensors 2025, 15(5), 286; https://doi.org/10.3390/bios15050286 - 1 May 2025
Viewed by 280
Abstract
Sulfadimethazine (SM2) is widely used in livestock and poultry farming, but its improper use can pose a serious threat to human health. Therefore, the detection of SM2 residues in livestock and poultry products, including duck blood, is of great significance for food safety. [...] Read more.
Sulfadimethazine (SM2) is widely used in livestock and poultry farming, but its improper use can pose a serious threat to human health. Therefore, the detection of SM2 residues in livestock and poultry products, including duck blood, is of great significance for food safety. A rapid detection method for SM2 residues in duck blood based on surface-enhanced Raman spectroscopy (SERS) was proposed in this paper. Density functional theory (DFT) was employed to optimize the molecular structure of SM2 and perform theoretical Raman vibrational analysis, thereby identifying its characteristic peaks. The enhancement effects of four different substrates were compared. The sample pretreatment method and detection conditions were optimized through single-factor experiments, including the types and amounts of electrolyte aggregators, the amount of gold nanocolloids, and the adsorption time. Under optimal conditions, the SERS spectral data of the samples were preprocessed, and features were extracted to establish an optimal quantitative prediction model. The experimental results found that the adaptive iteratively reweighted penalized least-squares method (air-PLS) was the best preprocessing method, and the competitive adaptive reweighted sampling–multiple linear regression (CARS-MLR) model demonstrated the best prediction performance, with a coefficient of determination for the prediction set (Rp2) of 0.9817, a root mean square error of calibration (RMSEC) of 1.5539 mg/L, a relative prediction deviation (RPD) of 7.1953, and limits of quantification of 0.75 mg/L. The research demonstrated that the combination of SERS technology and chemometric methods was feasible and effective for the detection of SM2 residues in duck blood. Full article
(This article belongs to the Special Issue Optical Biosensors for Environmental Monitoring)
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