Journal Description
Biosensors
Biosensors
is an international, peer-reviewed, open access journal on the technology and science of biosensors published monthly online by MDPI.
- Open Access— free for readers, with article processing charges (APC) paid by authors or their institutions.
- High Visibility: indexed within Scopus, SCIE (Web of Science), PubMed, MEDLINE, PMC, Embase, CAPlus / SciFinder, Inspec, and other databases.
- Journal Rank: JCR - Q1 (Instruments and Instrumentation) / CiteScore - Q1 (Instrumentation)
- Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 21.8 days after submission; acceptance to publication is undertaken in 2.8 days (median values for papers published in this journal in the first half of 2025).
- Recognition of Reviewers: reviewers who provide timely, thorough peer-review reports receive vouchers entitling them to a discount on the APC of their next publication in any MDPI journal, in appreciation of the work done.
Impact Factor:
5.6 (2024);
5-Year Impact Factor:
5.7 (2024)
Latest Articles
Microfluidic Biochip Integrated with Composite Gel Composed of Silver Nanostructure @ Polydopamine–co–Chitosan for Rapid Detection of Airborne Bacteria
Biosensors 2025, 15(11), 720; https://doi.org/10.3390/bios15110720 (registering DOI) - 30 Oct 2025
Abstract
Rapid detection and identification of airborne bacteria are critical for safeguarding human health, yet current technologies remain inadequate. To address this gap, we developed a multifunctional biochip that synergistically integrated a heptagonal micropillar array with a silver nanostructure–polydopamine–co–chitosan (AgNS@PDA–co–CS) composite gel to achieve
[...] Read more.
Rapid detection and identification of airborne bacteria are critical for safeguarding human health, yet current technologies remain inadequate. To address this gap, we developed a multifunctional biochip that synergistically integrated a heptagonal micropillar array with a silver nanostructure–polydopamine–co–chitosan (AgNS@PDA–co–CS) composite gel to achieve highly efficient sampling, capture, enrichment, and in situ SERS detection of airborne bacteria. The integrated micropillar array increased the capture efficiency of S. aureus in aerosols from 11.4% (with a flat chip) to 86.3%, owing to its high specific surface area and its ability to generate chaotic vortices that promote bacterial impaction. Subsequent functionalization with the AgNS@PDA–co–CS gel improved the capture efficiency further to >99.9%, due to the synergistic effect of the gel’s adhesive properties and the abundant capture sites provided by the nanostructure, which collectively ensure robust bacterial retention. The incorporated AgNS also served as SERS-active sites, enabling direct identification of captured S. aureus at concentrations as low as 105 CFU m−3 after 20 min of sampling. Furthermore, the platform successfully distinguished among three common bacterial species—S. aureus, E. coli, and Bacillus cereus—based on their SERS spectral profiles combined with principal component analysis (PCA). This work presents a synergistic strategy for simultaneous bacterial sampling, capture, enrichment, and detection, offering a promising platform for rapid airborne pathogen monitoring.
Full article
(This article belongs to the Section Nano- and Micro-Technologies in Biosensors)
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Open AccessArticle
FGAN@PB NP Nanozyme-Based Colorimetric–Photothermal Dual-Mode Immunosensor for Malachite Green Detection
by
Min-Fu Wu, Jing-Min Li, Sha Li, Min-Hua Wu, Ri-Sheng Chen, Yan-Can Liu, Jian-Nan Liu, Zhen-Lin Xu, Yi-Chao Yang, Jia-Dong Li, Qing-Yi Lei, Si-Min Zhan and Lin Luo
Biosensors 2025, 15(11), 719; https://doi.org/10.3390/bios15110719 - 30 Oct 2025
Abstract
In this study, a colorimetric–photothermal dual-mode immunosensor based on Fe(Ⅲ)–gallic acid composite Prussian blue nanozyme (FGAN@PB NPs) was developed for the highly sensitive detection of malachite green (MG) in aquatic products. This strategy addresses the stability limitations associated with conventional horseradish peroxidase (HRP).
[...] Read more.
In this study, a colorimetric–photothermal dual-mode immunosensor based on Fe(Ⅲ)–gallic acid composite Prussian blue nanozyme (FGAN@PB NPs) was developed for the highly sensitive detection of malachite green (MG) in aquatic products. This strategy addresses the stability limitations associated with conventional horseradish peroxidase (HRP). In the colorimetric mode, the immunosensor exhibited an IC50 of 7.56 ng/mL with a linear detection range of 2.21–25.84 ng/mL. In the photothermal mode, the linear range was 0.262–25.6 ng/mL, with a detection limit (LOD) of 0.31 ng/mL. The results from the two detection modes were mutually corroborative. Moreover, the detection of the proposed immunosensor was strongly correlated with the LC-MS/MS, offering a promising approach for the rapid on-site screening of MG and improving its applicability in complex sample matrices.
Full article
(This article belongs to the Special Issue Advances in Nanozyme-Based Biosensors)
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Open AccessArticle
MFF-ClassificationNet: CNN-Transformer Hybrid with Multi-Feature Fusion for Breast Cancer Histopathology Classification
by
Xiaoli Wang, Guowei Wang, Luhan Li, Hua Zou and Junpeng Cui
Biosensors 2025, 15(11), 718; https://doi.org/10.3390/bios15110718 - 29 Oct 2025
Abstract
Breast cancer is one of the most prevalent malignant tumors among women worldwide, underscoring the urgent need for early and accurate diagnosis to reduce mortality. To address this, A Multi-Feature Fusion Classification Network (MFF-ClassificationNet) is proposed for breast histopathological image classification. The network
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Breast cancer is one of the most prevalent malignant tumors among women worldwide, underscoring the urgent need for early and accurate diagnosis to reduce mortality. To address this, A Multi-Feature Fusion Classification Network (MFF-ClassificationNet) is proposed for breast histopathological image classification. The network adopts a two-branch parallel architecture, where a convolutional neural network captures local details and a Transformer models global dependencies. Their features are deeply integrated through a Multi-Feature Fusion module, which incorporates a Convolutional Block Attention Module—Squeeze and Excitation (CBAM-SE) fusion block combining convolutional block attention, squeeze-and-excitation mechanisms, and a residual inverted multilayer perceptron to enhance fine-grained feature representation and category-specific lesion characterization. Experimental evaluations on the BreakHis dataset achieved accuracies of 98.30%, 97.62%, 98.81%, and 96.07% at magnifications of 40×, 100×, 200×, and 400×, respectively, while an accuracy of 97.50% was obtained on the BACH dataset. These results confirm that integrating local and global features significantly strengthens the model’s ability to capture multi-scale and context-aware information, leading to superior classification performance. Overall, MFF-ClassificationNet surpasses conventional single-path approaches and provides a robust, generalizable framework for advancing computer-aided diagnosis of breast cancer.
Full article
(This article belongs to the Special Issue AI-Based Biosensors and Biomedical Imaging)
Open AccessReview
Recognition Element-Based Strategies for Rapid Detection of Foodborne Pathogens: Recent Progress and Perspectives
by
Wang Guo, Meifeng Jiang, Yunkai Xie, Hong Xu and Zongbao Sun
Biosensors 2025, 15(11), 717; https://doi.org/10.3390/bios15110717 - 29 Oct 2025
Abstract
The detection of foodborne pathogens is of great significance for safeguarding food safety and public health. In recent years, rapid detection technologies based on diverse recognition elements have advanced considerably, driven by progress in molecular biology, materials science, and information technology. This review
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The detection of foodborne pathogens is of great significance for safeguarding food safety and public health. In recent years, rapid detection technologies based on diverse recognition elements have advanced considerably, driven by progress in molecular biology, materials science, and information technology. This review takes recognition elements as the central theme and systematically outlines the mechanisms and research progress of antibodies, nucleic acid aptamers, nucleic acid amplification techniques, CRISPR/Cas systems, molecular imprinting technology, peptides, and small-molecule receptors in foodborne pathogen detection, while comparing their performance in terms of specificity, sensitivity, stability, and applicability. In addition, this review further elaborates on the developmental trends of detection platforms, including multi-target and multimodal integration, microfluidics combined with portable point-of-care testing (POCT) systems, and intelligent terminals empowered by artificial intelligence algorithms. These trends provide new perspectives for improving detection systems in terms of throughput, portability, and intelligence. Overall, this review aims to serve as a comprehensive reference for the development of rapid, accurate, and intelligent detection systems for foodborne pathogens.
Full article
(This article belongs to the Section Environmental Biosensors and Biosensing)
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Open AccessArticle
A Screening Assay for Bile Acid-Transforming Microorganisms Using Engineered Bacterial Biosensors
by
Debora Dallera, Daniele Pastorelli, Massimo Bellato, Angelica Frusteri Chiacchiera, Francesca Usai, Maria Gabriella Cusella De Angelis, Paola Brun, Paolo Magni and Lorenzo Pasotti
Biosensors 2025, 15(11), 716; https://doi.org/10.3390/bios15110716 - 29 Oct 2025
Abstract
Bile salt hydrolase (BSH) enables microbial-mediated deconjugation of bile acids (BAs) in the gastrointestinal tract. BSH enzymes initiate bile acid metabolism by catalyzing the first, essential deconjugation step. Due to the strict connection between dysregulations of the BA pool and human or animal
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Bile salt hydrolase (BSH) enables microbial-mediated deconjugation of bile acids (BAs) in the gastrointestinal tract. BSH enzymes initiate bile acid metabolism by catalyzing the first, essential deconjugation step. Due to the strict connection between dysregulations of the BA pool and human or animal diseases, identification and characterization of strains with BSH activity are relevant for both healthcare and agroindustry. However, current methods are expensive, poorly sensitive, or require complex procedures. Here, a BSH screening assay for cultivated microbes is proposed, based on a bacterial biosensor that reports the concentration of different BA types via fluorescence. Although the biosensor is broadly responsive to various bile acids, the assay was designed to guarantee specificity by testing individual primary BAs within controlled concentration ranges. The assay was evaluated on two recombinant Escherichia coli strains bearing BSH genes from Lactobacillus johnsonii PF01 and a BSH-positive probiotic strain (Lactobacillus rhamnosus GG). Data showed a consistent activity pattern with previous assays on these enzymes. A crucial aspect addressed was the matrix effect, i.e., the impact of the growth media of the BSH-containing strains on biosensor output. This assay is expected to be a reproducible and accessible option, compatible with automated protocols.
Full article
(This article belongs to the Special Issue Cell-Based Biosensors for Rapid Detection and Monitoring (2nd Edition))
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Open AccessArticle
NanoArrayPAD−X: Nanoprobe Array and 3D-µPAD for the Simultaneous Detection of Respiratory Pathogens and Biomarkers at the Point of Care
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Andreu Vaquer, Francisco M. Bouzada, Sofia Tejada, Antonio Clemente, Antonia Socias, Maria Aranda, Alberto del Castillo, Joana Mena, Maria Montaner, Rocío Rodríguez, Estrella Rojo-Molinero, Antonio Oliver, Marcio Borges and Roberto de la Rica
Biosensors 2025, 15(11), 715; https://doi.org/10.3390/bios15110715 - 28 Oct 2025
Abstract
Microfluidic paper-based analytical devices (µPADs) are ideal for point-of-care diagnostics due to their low cost, compact size, and ease of use. However, current designs have limited multiplexing capabilities, making it difficult to simultaneously detect pathogens and biomarkers in the same sample. In this
[...] Read more.
Microfluidic paper-based analytical devices (µPADs) are ideal for point-of-care diagnostics due to their low cost, compact size, and ease of use. However, current designs have limited multiplexing capabilities, making it difficult to simultaneously detect pathogens and biomarkers in the same sample. In this work, we introduce NanoArrayPAD−X, a novel µPAD design that combines wax-printed microfluidic networks with an array of nanoprobes for the simultaneous detection of multiple targets. This is achieved by distributing the sample through the microfluidic network containing X detection areas. There, targets are captured through physical interactions and recognized by specific antibody-coated nanoprobes released from the nanoprobe array. This generates X dots whose color depends on the concentration of the targets in the sample. A NanoArrayPAD−5 platform capable of detecting five targets was developed to aid in the diagnosis of ventilator-associated pneumonia (VAP). The sensor array could detect Pseudomonas aeruginosa, Klebsiella pneumoniae, Staphylococcus aureus, Escherichia coli, and the inflammatory biomarker myeloperoxidase (MPO) with a total turnaround time of 25 min, which is faster than waiting for an overnight culture and the results of an ELISA. Notably, our prototype successfully detected the targets in 87 bronchial aspirate (BAS) specimens, thus demonstrating the suitability of the platform for analyzing complex samples with sputum-like qualities. These findings establish NanoArrayPAD−X as a promising tool for the rapid, multiplexed screening of respiratory pathogens and biomarkers, with potential for guiding personalized antimicrobial therapy in suspected cases of nosocomial pneumonia.
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(This article belongs to the Section Biosensors and Healthcare)
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Open AccessArticle
Visible-Light Hyperspectral Reconstruction and PCA-Based Feature Extraction for Malignant Pleural Effusion Cytology
by
Chun-Liang Lai, Kun-Hua Lee, Hong-Thai Nguyen, Arvind Mukundan, Riya Karmakar, Tsung-Hsien Chen, Wen-Shou Lin and Hsiang-Chen Wang
Biosensors 2025, 15(11), 714; https://doi.org/10.3390/bios15110714 - 28 Oct 2025
Abstract
Malignant pleural effusion, commonly referred to as MPE, is a prevalent complication associated with individuals diagnosed with neoplastic disorders. The data acquired by pleural fluid cytology is beneficial for diagnostic objectives. Consequently, the initial step in the diagnostic procedure for lung cancer is
[...] Read more.
Malignant pleural effusion, commonly referred to as MPE, is a prevalent complication associated with individuals diagnosed with neoplastic disorders. The data acquired by pleural fluid cytology is beneficial for diagnostic objectives. Consequently, the initial step in the diagnostic procedure for lung cancer is the analysis of pleural effusion fluid. This research aims to provide a cutting-edge model for analyzing PE cytology images. This model utilizes a computer-aided diagnosis (CAD) system that integrates hyperspectral imaging (HSI) technology for the classification of spectral variations. Giemsa, which is one of the most popular microscopic stains, is employed to stain the samples, after which a sensitive CCD mounted on a microscope captures the images. Subsequently, the HSI model is tasked with obtaining the image spectra. Principal Component Analysis (PCA) constitutes the concluding phase in the classification procedure of various cell types. We expect that the suggested technique will enable medical professionals to stage lung cancer more rapidly. In the future, we aspire to develop an extensive data system that utilizes deep learning techniques to facilitate the automatic classification of cells, thereby ensuring the most precise diagnosis. Furthermore, enhancing accuracy and minimizing data dimensions are important priorities to accelerate diagnostics, conserve resources, and reduce computing time.
Full article
(This article belongs to the Special Issue Advanced Optical Imaging Biosensors: Technologies and Biomedical Applications)
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Open AccessArticle
Optimized Aptamer-Conjugated Gold Nanoparticles for Specific Detection of GII.4 Human Norovirus in Feces
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Chao Cheng, Xiaomeng Zhang, Gaoyang Li, Minjia Sun, Wenjing Zheng, Jingjing Li, Jing Liu, Xuanyi Wang, Youhua Xie, Shouhong Xu and Junqi Zhang
Biosensors 2025, 15(11), 713; https://doi.org/10.3390/bios15110713 - 28 Oct 2025
Abstract
Human norovirus (HuNoV), particularly the GII.4 genotype, is a leading cause of acute gastroenteritis worldwide, posing a significant public health and economic burden due to its low infectious dose. To address the need for rapid and sensitive detection, we developed a colorimetric biosensor
[...] Read more.
Human norovirus (HuNoV), particularly the GII.4 genotype, is a leading cause of acute gastroenteritis worldwide, posing a significant public health and economic burden due to its low infectious dose. To address the need for rapid and sensitive detection, we developed a colorimetric biosensor utilizing a structure-optimized aptamer and gold nanoparticles (AuNPs). Biotin-modified aptamers could protect AuNPs from aggregation in salt solution. Upon specific binding to GII.4 HuNoV virus-like particles (VLPs), this protective effect is disrupted, leading to AuNP aggregation and a measurable color shift quantified by the A620/A520 absorbance ratio. Under optimized conditions, the assay demonstrated a linear response (y = 0.004597x + 0.3277, R2 = 0.9922) to GII.4 HuNoV VLP concentrations ranging from 0.1 to 3.0 μg/mL, with the recovery rates between 91.74% and 106.43%. The biosensor exhibited high specificity for GII.4 HuNoV, showing minimal cross-reactivity with other common diarrheal pathogens, and achieved an exceptional detection limit of 27.2 copies/mL in a fecal matrix. Molecular docking and point mutation confirmed the critical roles of specific nucleotide bases (T20, C22, G31, and G44) in the aptamer and the Asn55 residue in the viral capsid for binding. This work establishes a sensitive, rapid, and cost-effective aptamer-based colorimetric platform suitable for the large-scale monitoring of GII.4 HuNoV.
Full article
(This article belongs to the Special Issue Aptamer-Based Nanosensing Strategy and Applications)
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Open AccessReview
Nucleic Acid Nanomaterial-Mediated Single-Cell Encapsulation and Its Application
by
Yue Qiu, Mengyu Huang, Xiaotong Jiang, Peiru Chen, Zhenzhen Guo and Kaixiang Zhang
Biosensors 2025, 15(11), 712; https://doi.org/10.3390/bios15110712 - 27 Oct 2025
Abstract
Single-cell encapsulation, by constructing cell-scale microenvironments, enables precise protection, regulation, and functional enhancement of individual cells, holding significant importance in biomedical fields such as bioanalysis and cell therapy. Although various materials—including polymers, nanoparticles, hydrogels, polyphenols, and inorganic minerals—have been explored for single-cell encapsulation,
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Single-cell encapsulation, by constructing cell-scale microenvironments, enables precise protection, regulation, and functional enhancement of individual cells, holding significant importance in biomedical fields such as bioanalysis and cell therapy. Although various materials—including polymers, nanoparticles, hydrogels, polyphenols, and inorganic minerals—have been explored for single-cell encapsulation, limitations in controllability, biocompatibility, and multifunctional integration remain. In contrast, DNA nanomaterials offer unique advantages, including programmable architecture, high biocompatibility, precise spatial control, and modular functionality, making them highly suitable for the development of intelligent single-cell encapsulation systems. In this review, a systematic summary of recent advances in DNA nanomaterial-based single-cell encapsulation is presented. The fundamental encoding and assembly principles underlying the engineered encapsulation of cells at the membrane interface using DNA nanostructures are elucidated. Subsequently, the distinctive merits of DNA-based cell encapsulation and its applications in biomedical research are comprehensively summarized. Finally, the prevailing challenges and future directions in this burgeoning field are critically discussed, aiming to provide novel insights and perspectives for the advancement of advanced functional materials in both academic and clinical research pertaining to single-cell encapsulation.
Full article
(This article belongs to the Special Issue Biosensors for Healthcare and Environment: Current and Future Perspectives)
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Open AccessArticle
A Feasibility Study on Noninvasive Blood Glucose Estimation Using Machine Learning Analysis of Near-Infrared Spectroscopy Data
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Tae Wuk Bae, Byoung Ik Kim, Kee Koo Kwon and Kwang Yong Kim
Biosensors 2025, 15(11), 711; https://doi.org/10.3390/bios15110711 - 25 Oct 2025
Abstract
This study explored the feasibility of noninvasive blood glucose (BG) estimation using near-infrared (NIR) spectroscopy with dog blood samples. A sensor module employing three representative wavelengths (770 nm, 850 nm, and 970 nm) was tested on an artificial blood vessel (ABV) and a
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This study explored the feasibility of noninvasive blood glucose (BG) estimation using near-infrared (NIR) spectroscopy with dog blood samples. A sensor module employing three representative wavelengths (770 nm, 850 nm, and 970 nm) was tested on an artificial blood vessel (ABV) and a thin pig skin (TPS) model. BG concentrations were adjusted through dilution and enrichment with injection-grade water and glucose solution, and reference values were obtained from three commercial invasive glucometers. Correlations between NIR spectral responses and glucose variations were quantitatively evaluated using linear, multiple, partial least squares (PLS), logistic regression, regularized linear models, and multilayer perceptron (MLP) analysis. The results revealed distinct negative correlations at 850 nm and 970 nm, identifying these wavelengths as promising candidates for noninvasive glucose sensing. Furthermore, an NIR–glucose database generated from actual dog blood was established, which may serve as a valuable resource for the development of future noninvasive glucose monitoring systems.
Full article
(This article belongs to the Special Issue Artificial Intelligence (AI) and Machine Learning (ML) in Biosensors: Innovation, Application, and Challenge)
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Open AccessArticle
Triple-Model Immunoassays with the Self-Assemblies of Three-in-One Small Molecules as Signaling Labels
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Zhaojiang Yu, Wenqi Yuan, Mingyi Qiao and Lin Liu
Biosensors 2025, 15(11), 710; https://doi.org/10.3390/bios15110710 - 24 Oct 2025
Abstract
Multiple-mode immunoassays have the advantages of self-correction, self-validation, and high accuracy and reliability. In this work, we developed a strategy for the design of triple-mode immunoassays with the self-assemblies of three-in-one small molecules as signal reporters. Pyrroloquinoline quinone (PQQ), with a well-defined redox
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Multiple-mode immunoassays have the advantages of self-correction, self-validation, and high accuracy and reliability. In this work, we developed a strategy for the design of triple-mode immunoassays with the self-assemblies of three-in-one small molecules as signal reporters. Pyrroloquinoline quinone (PQQ), with a well-defined redox peak and excellent spectroscopic and fluorescent signals, was chosen as the signaling molecule. PQQ was coordinated with Cu2+ to form metal–organic nanoparticle as the signal label. Hexahistidine (His6)-tagged recognition element (recombinant streptavidin) was attached to the Cu-PQQ surface through metal coordination interaction between the His6 tag and the unsaturated metal site. The captured Cu-PQQ nanoparticle released a large number of PQQ molecules under an acidic condition, which could be simultaneously monitoring by electrochemical, UV-vis, and fluorescent techniques, thereby allowing for the development of triple-model immunoassays. The three methods were used to determine the concentration of carcinoembryonic antigen (CEA) with the detection limits of 0.01, 0.1, and 0.1 ng/mL, respectively. This strategy opens up a universal route for the preparation of multiple-model signal labels and the oriented immobilization of bioreceptors for molecular recognition.
Full article
(This article belongs to the Special Issue Biosensors Based on Self-Assembly and Molecular Recognition—2nd Edition)
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Open AccessReview
Advancements and Prospects of Metal-Organic Framework-Based Fluorescent Sensors
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Yuan Zhang, Chen Li, Meifeng Jiang, Yuan Liu and Zongbao Sun
Biosensors 2025, 15(11), 709; https://doi.org/10.3390/bios15110709 - 24 Oct 2025
Abstract
Metal-organic frameworks (MOFs), a class of crystalline porous materials featuring a high specific surface area, tunable pore structures, and functional surfaces, exhibit remarkable potential in fluorescent sensing. This review systematically summarizes recent advances in the construction strategies, sensing mechanisms, and applications of MOF-based
[...] Read more.
Metal-organic frameworks (MOFs), a class of crystalline porous materials featuring a high specific surface area, tunable pore structures, and functional surfaces, exhibit remarkable potential in fluorescent sensing. This review systematically summarizes recent advances in the construction strategies, sensing mechanisms, and applications of MOF-based fluorescent sensors. It begins by highlighting the diverse degradation pathways that MOFs encounter in practical applications, including hydrolysis, acid/base attack, ligand displacement by coordinating anions, photodegradation, redox processes, and biofouling, followed by a detailed discussion of corresponding stabilization strategies. Subsequently, the review elaborates on the construction of sensors based on individual MOFs and their composites with metal nanomaterials, MOF-on-MOF heterostructures, covalent organic frameworks (COFs), quantum dots (QDs), and fluorescent dyes, emphasizing the synergistic effects of composite structures in enhancing sensor performance. Furthermore, key sensing mechanisms such as fluorescence quenching, fluorescence enhancement, Stokes shift, and multi-mechanism coupling are thoroughly examined, with examples provided of their application in detecting biological analytes, environmental pollutants, and food contaminants. Finally, future directions for MOF-based fluorescent sensors in food safety, environmental monitoring, and clinical diagnostics are outlined, pointing to the development of high-performance, low-cost MOFs; the integration of multi-technology platforms; and the construction of intelligent sensing systems as key to enabling their practical deployment and commercialization.
Full article
(This article belongs to the Section Biosensor Materials)
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Open AccessArticle
Development of CPE/ssDNA-Based Electrochemical Sensor for the Detection of Leucine to Assess Soil Health
by
Stella Girousi, Zoi Banti, Sophia Karastogianni, Rigini Papi, Dilsat Ozkan Ariksoysal and Evangelia E. Golia
Biosensors 2025, 15(11), 708; https://doi.org/10.3390/bios15110708 - 22 Oct 2025
Abstract
For the first time, the interaction between the amino acid leucine (Leu) and thermally denatured single-stranded (ss) DNA has been demonstrated by applying voltammetry. As a result of interaction, the characteristic peak of ssDNA, due to the oxidation of guanine residues, decreased upon
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For the first time, the interaction between the amino acid leucine (Leu) and thermally denatured single-stranded (ss) DNA has been demonstrated by applying voltammetry. As a result of interaction, the characteristic peak of ssDNA, due to the oxidation of guanine residues, decreased upon interaction time. The interaction behavior between leucine and ssDNA was also studied with UV–vis spectrophotometry; the obtained results are in good agreement with voltammetric ones. The results of the interaction study were exploited in order to develop a SWV method for the determination of leucine at the ssDNA-modified carbon paste electrode (CPE). Different parameters were tested to optimize the conditions of the determination. The peak of guanine was at around +0.86 V. Linearity was observed in the range of 0.213–4.761 μg/L (r = 0.9990) while LOD equals 0.071 μg/L. The method was applied to a spiked soil sample and gave satisfactory results.
Full article
(This article belongs to the Special Issue Electrochemical (Bio)Sensors as Promising Analytical Tools in the Analysis of Soils, Plants and Environmental Monitoring)
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Open AccessArticle
Double-Layer Simplified Complex Interval Neural Network Stacking for Blood Glucose Prediction of Continuous Glucose Monitoring System
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Shaowei Kong, Yusheng Fu, Jingshan Duan and Jian Yan
Biosensors 2025, 15(11), 707; https://doi.org/10.3390/bios15110707 - 22 Oct 2025
Abstract
Diabetes is a metabolic disorder characterized by persistent hyperglycemia, with its incidence steadily rising worldwide. Blood glucose monitoring is a core measure in diabetes management, and continuous glucose monitoring provides more comprehensive and accurate glucose data compared to traditional fingerstick testing. To collect
[...] Read more.
Diabetes is a metabolic disorder characterized by persistent hyperglycemia, with its incidence steadily rising worldwide. Blood glucose monitoring is a core measure in diabetes management, and continuous glucose monitoring provides more comprehensive and accurate glucose data compared to traditional fingerstick testing. To collect continuous glucose data from patients, precise glucose prediction algorithms can help them better control their blood glucose fluctuations. Therefore, by addressing the issues of low prediction accuracy, complex input features, and poor generalization performance in existing glucose prediction methods, this paper proposes a glucose prediction model based on a double-layer SCINet stack using time-series analysis methods. SCINet effectively captures multi-scale dynamic features in time-series data through recursive down-sampling and convolution operations, making it suitable for glucose prediction tasks. Experimental data were sourced from real-world continuous glucose monitoring records of patients at Yixing People’s Hospital. Model input features were optimized through variable selection and data preprocessing, with predictive performance validated on a test dataset. The results demonstrate that the proposed model outperforms existing time-series prediction models across varying prediction horizons and patient datasets, exhibiting high predictive accuracy and stability.
Full article
(This article belongs to the Special Issue AI-Driven Biosensing)
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Open AccessArticle
Development of an Aptamer-Based Surface Plasmon Resonance Biosensor for Detecting Chloramphenicol in Milk
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Minyu Qi, Ningqi Xia, Xiying Wang, Xiaofei Wang, Hao Chen, Diya Lv and Yan Cao
Biosensors 2025, 15(11), 706; https://doi.org/10.3390/bios15110706 - 22 Oct 2025
Abstract
Surface plasmon resonance (SPR) biosensors have been applied in various fields with the advantages of being label-free, having high specificity, having high sensitivity, and providing real-time monitoring. With the gradual improvement of SPR technology, SPR biosensors have been used for the detection of
[...] Read more.
Surface plasmon resonance (SPR) biosensors have been applied in various fields with the advantages of being label-free, having high specificity, having high sensitivity, and providing real-time monitoring. With the gradual improvement of SPR technology, SPR biosensors have been used for the detection of macromolecules such as proteins, peptides, and nucleic acids. Antibodies are generally used as the recognition component of SPR biosensors due to the high specificity of antibody–antigen binding. Recently, aptamers have become new choices instead of antibodies for their characteristic of high specificity with target molecules, high stability of chemical synthesis, convenience in storage, and ease of labeling. In this study, an aptamer-based SPR biosensor for chloramphenicol (CAP) detection was established through optimizing the conditions of CAP aptamer immobilization and analysis procedure, including biosensor type, signal enhancement, running buffer, sample diluent, and dissociation time. The results suggested that the optimal immobilization strategy of aptamers on the SPR biosensor was indirect immobilization based on the CM5 chip. The aptamer-based SPR biosensor had good specificity for CAP and could be used to detect CAP in real samples such as milk. Therefore, SPR biosensors have great application prospects in the food safety field, and aptamers deserve further study to improve the performance of the biosensor.
Full article
(This article belongs to the Special Issue Biosensors for Food Safety)
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Open AccessReview
Nanobiosensors for Single-Molecule Diagnostics: Toward Integration with Super-Resolution Imaging
by
Seungah Lee, Sobia Rafiq and Seong Ho Kang
Biosensors 2025, 15(10), 705; https://doi.org/10.3390/bios15100705 - 21 Oct 2025
Abstract
Recent advances in nanotechnology and optical imaging have transformed molecular diagnostics, enabling the detection and analysis of individual biomolecules with unprecedented precision. Nanobiosensors provide ultrasensitive molecular detection, and super-resolution microscopy (SRM) exceeds the diffraction limit of conventional optics to achieve nanometer-scale resolution. Although
[...] Read more.
Recent advances in nanotechnology and optical imaging have transformed molecular diagnostics, enabling the detection and analysis of individual biomolecules with unprecedented precision. Nanobiosensors provide ultrasensitive molecular detection, and super-resolution microscopy (SRM) exceeds the diffraction limit of conventional optics to achieve nanometer-scale resolution. Although their integration remains in its infancy, with only a handful of proof-of-concept studies reported, the convergence of nanobiosensors and SRM holds significant promise for next-generation diagnostics. In this review, we first outline nanobiosensor-based single-molecule detection strategies and highlight representative implementations. These include plasmonic–SRM hybrids, electrochemical–optical correlatives, and SRM-enabled immunoassays, with a focus on their applications in oncology, infectious diseases, and neurodegenerative disorders. Then, we discuss emerging studies at the interface of nanobiosensors and SRM, including nanostructure-assisted SRM. Despite not being true biosensing approaches, these studies provide valuable insights into how engineered nanomaterials can improve imaging performance. Finally, we evaluate current challenges, including reproducibility, multiplexing, and clinical translation, and outline future opportunities, such as the development of photostable probes, artificial intelligence-assisted image reconstruction, microfluidic integration, and regulatory strategies. This review highlights the synergistic potential of nanobiosensors and SRM, outlining a roadmap toward clinically translatable next-generation single-molecule diagnostic platforms.
Full article
(This article belongs to the Special Issue Micro and Nano Optic-Based Biosensing Technologies and Strategies—2nd Edition)
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Open AccessArticle
Development of an Electrochemical Sensor Based on Molecularly Imprinted Polymer Using Functionalized Gold Nanoparticles for Caffeine Quantification
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Sergio Espinoza-Torres, Astrid Choquehuanca-Azaña, Marcos Rufino, Eleilton da Silva and Lucio Angnes
Biosensors 2025, 15(10), 704; https://doi.org/10.3390/bios15100704 - 18 Oct 2025
Abstract
Caffeine is a natural alkaloid consumed primarily for its stimulant and metabolic effects. Some everyday products, such as coffee, tea, soft drinks, sports supplements, and even pain relievers, contain caffeine. However, excessive caffeine consumption, greater than 400 mg per day, can cause adverse
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Caffeine is a natural alkaloid consumed primarily for its stimulant and metabolic effects. Some everyday products, such as coffee, tea, soft drinks, sports supplements, and even pain relievers, contain caffeine. However, excessive caffeine consumption, greater than 400 mg per day, can cause adverse effects. Therefore, this work presents an electrochemical sensor based on a molecularly imprinted polymer (MIP) electropolymerized on gold nanoparticles functionalized with p-aminothiophenol (AuNPs-pATP) for caffeine quantification. AuNPs-pATP synthesized show a spherical morphology with an average diameter of 2.54 nm. Stages of MIP formation were monitored by cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS) using a potassium ferrocyanide redox probe, where the following were observed: (i) an increase in conductivity upon modification of the GCE with AuNPs-pATP, (ii) the blocking of active sites during the electropolymerization step, and (iii) the release of specific cavities upon template removal, revealing consistent differences between the MIP and the control polymer (NIP). SEM images revealed three-dimensional spherical cavities on MIP surface, while the NIP showed a more compact rough surface. Caffeine quantification was performed using square wave voltammetry (SWV) with LOD of 0.195 µmol L−1 and LOQ of 0.592 µmol L−1. Interference studies indicated high selectivity and a high density of caffeine-specific binding sites in the MIP. Additionally, MIP sensor demonstrated reusability, good reproducibility, and stability, as well as promising results for analysis in soft drink and sports supplement samples.
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(This article belongs to the Special Issue Recent Advances in Molecularly Imprinted-Polymer-Based Biosensors)
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Open AccessArticle
Noble-Metal-Free MIL-101(Cr)@rGO for Formaldehyde SERS Detection
by
Harriet Sonia Nalumansi, Fuwei Pi, Jingkun Li and Guoyong Jiang
Biosensors 2025, 15(10), 703; https://doi.org/10.3390/bios15100703 - 18 Oct 2025
Abstract
The detection of volatile organic compounds (VOCs) is critical for ensuring food safety, particularly for identifying spoilage gases and food adulterants. Surface Enhanced Raman Spectroscopy (SERS) has traditionally relied on noble metals such as gold and silver for strong electromagnetic enhancement. However, these
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The detection of volatile organic compounds (VOCs) is critical for ensuring food safety, particularly for identifying spoilage gases and food adulterants. Surface Enhanced Raman Spectroscopy (SERS) has traditionally relied on noble metals such as gold and silver for strong electromagnetic enhancement. However, these substrates present challenges in terms of cost, stability, and integration into real-world applications. In this study, we explore a hybrid metal–organic framework (MOF) with reduced graphene oxide (rGO) as a SERS active substrate. The developed material showed a good sensitivity for VOC formaldehyde (FA), easily detectable at peak 1452 cm−1 and offering an RSD of 16.95%. Since the substrate did not rely on any noble metals for SERS enhancement, this low cost and easy material could be fine-tuned, creating alternative less-toxic materials for detection in industries such as food safety.
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(This article belongs to the Special Issue Nanomaterial-Based Biosensors for Point-of-Care Testing)
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Open AccessArticle
High-Sensitivity Terahertz Biosensor Based on a Multi-Layer Hybrid Structure Consisting of a Defect Mode and Graphene
by
Hai Hu, Shiying Mo, Yangbao Deng and Zhengchun Zhao
Biosensors 2025, 15(10), 702; https://doi.org/10.3390/bios15100702 - 17 Oct 2025
Abstract
A high-sensitivity terahertz (THz) biosensor is proposed in this paper based on a multi-layer hybrid structure consisting of a defect mode and graphene with a truncation layer. This biosensor is based on symmetrical Bragg reflectors with a defect layer and graphene with a
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A high-sensitivity terahertz (THz) biosensor is proposed in this paper based on a multi-layer hybrid structure consisting of a defect mode and graphene with a truncation layer. This biosensor is based on symmetrical Bragg reflectors with a defect layer and graphene with a truncation layer, which effectively comprise a multi-layer hybrid resonance excitation structure. The high sensitivity of this biosensor is developed through defect mode resonance, and the resonance reflection peak is made sharper and more sensitive by using graphene with a truncation layer. After testing and analysis, the sensitivity of this biosensor structure is greatly affected by the refractive index and thickness of the sensing medium. By setting parameters appropriately, the composite structure can be used as both a liquid biosensor and a gas biosensor, the maximum sensitivity of which can surpass 2000°/RIU, while an FOM value of 22,500 RIU−1 can be achieved. At the same time, when the refractive index of the liquid sensing medium changes to 0.01 relative to water (the same applies to changes in the gas sensing medium), the sensitivity of this structure still exceeds 600°/RIU, demonstrating that this biosensor has advantages including high sensitivity, a high FOM, wide applicability, and slow sensitivity attenuation. Therefore, the sensing scheme proposed in this paper has potential application prospects in the field of biosensing based on micro/nanostructures due to its simple structure, low requirements for processing conditions, and high sensitivity.
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(This article belongs to the Special Issue Nanophotonics and Surface Waves in Biosensing Applications)
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Open AccessArticle
A Stretchable and Transparent Electrode for Visual Electrophysiological Acquisition
by
Qiwei Dong, Maowen Xie, Mengyao Yuan, Wenhao Lou, Guang Yao and Yuan Lin
Biosensors 2025, 15(10), 701; https://doi.org/10.3390/bios15100701 - 17 Oct 2025
Abstract
Visual impairments pose a significant global health challenge, and visual electrophysiological (EP) acquisition plays a pivotal role in diagnosing ophthalmic diseases. However, traditional electrodes still encounter limitations such as inadequate mechanical adaptability and reusability. This study proposes a stretchable and transparent electrode (STE)
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Visual impairments pose a significant global health challenge, and visual electrophysiological (EP) acquisition plays a pivotal role in diagnosing ophthalmic diseases. However, traditional electrodes still encounter limitations such as inadequate mechanical adaptability and reusability. This study proposes a stretchable and transparent electrode (STE) consisting of a conductive paste/indium tin oxide layer on a polymethyl methacrylate substrate. Leveraging an island–bridge design, the STE renders reliable performance even after being subjected to 1000 cycles of 25% lateral strain and 18% diagonal strain, exhibiting exceptional mechanical flexibility and realizing seamless attachment to soft tissue. Furthermore, optimized conductive paste layer thickness yields a signal-to-noise ratio comparable to commercial electrodes, achieving equivalent performance to Ag/AgCl electrodes in electroretinogram (ERG), electrooculography (EOG), and visual evoked potential (VEP) acquisition. The STE’s mechanical suitability and inconspicuous features hold significant potential for widespread clinical adoption in ophthalmic diagnostics and personalized eye healthcare, offering improved comfort, reusability, and diagnostic precision.
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(This article belongs to the Special Issue Skin-Interfaced Biosensors and Bioelectronics for Personalized Healthcare)
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