Biosensors-Basel最新文献

{"title":"Detection of Exosomal microRNA from Malignant Lung Cells Using a Surface Plasmon Resonance Imaging Biosensor.","authors":"Razvan Bocu","doi":"10.3390/bios15030159","DOIUrl":"10.3390/bios15030159","url":null,"abstract":"<p><p>The consideration of micro ribonucleic acid (microRNA) molecules is justified by their ability to act as possible biomarkers, which may be used to detect the most prevalent type of lung cancer: non-small-cell lung cancer (NSCLC). This article describes a surface plasmon resonance imaging (SPRi) biosensor, which was considered to detect malignant lung cells using an Au/Ag heterostructure, as well as the DNA tetrahedron framework (DNATF). Considering the Au/Ag heterostructure and the DNATF, the proposed SPRi biosensor was evaluated. Thus, its detection range belongs to the interval 1.82 fM up to 28 nM. The measured limit of detection of this biosensor is 1.55 fM, and the generated images offer sufficient fidelity to conduct a precise medical analysis. Therefore, patients who suffer from NSCLC may be accurately and efficiently determined. The experimental evaluation, which is presented, suggests that this is a biosensor that is capable of optimizing the clinical detection of NSCLC.</p>","PeriodicalId":48608,"journal":{"name":"Biosensors-Basel","volume":"15 3","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11940378/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143711813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Copper Hexacyanoferrates Obtained via Flavocytochrome <i>b</i>₂ Assistance: Characterization and Application.","authors":"Galina Gayda, Olha Demkiv, Nataliya Stasyuk, Halyna Klepach, Roman Serkiz, Faina Nakonechny, Mykhailo Gonchar, Marina Nisnevitch","doi":"10.3390/bios15030157","DOIUrl":"10.3390/bios15030157","url":null,"abstract":"<p><p>Artificial enzymes or nanozymes (NZs) are gaining significant attention in biotechnology due to their stability and cost-effectiveness. NZs can offer several advantages over natural enzymes, such as enhanced stability under harsh conditions, longer shelf life, and reduced production costs. The booming interest in NZs is likely to continue as their potential applications expand. In our previous studies, we reported the \"green\" synthesis of copper hexacyanoferrate (gCuHCF) using the oxidoreductase flavocytochrome <i>b</i>₂ (Fc<i>b</i>₂). Organic-inorganic micro-nanoparticles were characterized in detail, including their structure, composition, catalytic activity, and electron-mediator properties. An SEM analysis revealed that gCuHCF possesses a flower-like structure well-suited for concentrating and stabilizing Fc<i>b</i>₂. As an effective peroxidase (PO) mimic, gCuHCF has been successfully employed for H₂O₂ detection in amperometric sensors and in several oxidase-based biosensors. In the current study, we demonstrated the uniqueness of gCuHCF that lies in its multifunctionality, serving as a PO mimic, a chemosensor for ammonium ions, a biosensor for L-lactate, and exhibiting perovskite-like properties. This exceptional ability of gCuHCF to enhance fluorescence under blue light irradiation is being reported for the first time. Using gCuHCF as a PO-like NZ, novel oxidase-based sensors were developed, including an optical biosensor for L-arginine analysis and electrochemical biosensors for methanol and glycerol determination. Thus, gCuHCF, synthesized via Fc<i>b</i>₂, presents a promising platform for the development of amperometric and optical biosensors, bioreactors, biofuel cells, solar cells, and other advanced devices. The innovative approach of utilizing biocatalysts for nanoparticle synthesis highlights a groundbreaking direction in materials science and biotechnology.</p>","PeriodicalId":48608,"journal":{"name":"Biosensors-Basel","volume":"15 3","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11940147/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143711726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Low-Cost, Open-Source, High-Precision Pressure Controller for Multi-Channel Microfluidics.","authors":"Mart Ernits, Olavi Reinsalu, Andreas Kyritsakis, Veikko Linko, Veronika Zadin","doi":"10.3390/bios15030154","DOIUrl":"10.3390/bios15030154","url":null,"abstract":"<p><p>Microfluidics is a technology that manipulates liquids on the scales ranging from microliters to femtoliters. Such low volumes require precise control over pressures that drive their flow into the microfluidic chips. This article describes a custom-built pressure controller for driving microfluidic chips. The pressure controller features piezoelectrically controlled pressure regulation valves. As an open-source system, it offers high customizability and allows users to modify almost every aspect. The cost is roughly a third of what similar, alternative, commercially available piezoelectrically controlled pressure regulators could be purchased for. The measured output pressure values of the device vary less than 0.7% from the device's reported pressure values when the requested pressure is between -380 and 380 mbar. Importantly, the output pressure the device creates fluctuates only ±0.2 mbar when the pressure is cycled between 10 and 500 mbar. The pressure reading accuracy and stability validation suggest that the device is highly feasible for many advanced (low-pressure) microfluidic applications. Here, we compare the main features of our device to commercially and non-commercially available alternatives and further demonstrate the device's performance and accessibility in successful microfluidic hydrodynamic focusing (MHF)-based synthesis of large unilamellar vesicles (LUVs).</p>","PeriodicalId":48608,"journal":{"name":"Biosensors-Basel","volume":"15 3","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11940448/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143711681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Recent Developments (After 2020) in Flow Cytometry Worldwide and Within China.","authors":"Xinyue Du, Xiao Chen, Chiyuan Gao, Junbo Wang, Xiaoye Huo, Jian Chen","doi":"10.3390/bios15030156","DOIUrl":"10.3390/bios15030156","url":null,"abstract":"<p><p>This article reviews recent developments in flow cytometry that have a significant impact on both scientific research and clinical applications in the field of single-cell analysis, from the perspective of instrumentation and technical advances. As a starting point, this article investigates the latest state-of-the-art instruments of flow cytometry including different types in spectral, mass, imaging, nano, and label-free flow cytometry. A comparative analysis of the parameters and features of instruments from different companies elucidates the development trends in flow cytometry instrumentation. Following this, this article delves into cutting-edge technical advancements in flow cytometry. It summarizes the current research status of flow cytometry not only globally but also within China, highlighting emerging trends and innovations in the field. Finally, this article outlines future directions for the development of flow cytometry, indicating that each type of flow cytometry will follow its own trajectory toward achieving enhanced performance and broader applications in diverse fields.</p>","PeriodicalId":48608,"journal":{"name":"Biosensors-Basel","volume":"15 3","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11940362/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143711739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Recent Advances in Clustered Regularly Interspaced Short Palindromic Repeats/CRISPR-Associated Proteins System-Based Biosensors.","authors":"Xianglin Xin, Jing Su, Haoran Cui, Lihua Wang, Shiping Song","doi":"10.3390/bios15030155","DOIUrl":"10.3390/bios15030155","url":null,"abstract":"<p><p>High-sensitivity and high-specificity biodetection is critical for advancing applications in life sciences, biosafety, food safety, and environmental monitoring. CRISPR/Cas systems have emerged as transformative tools in biosensing due to their unparalleled specificity, programmability, and unique enzymatic activities. They exhibit two key cleavage behaviors: precise ON-target cleavage guided by specific protospacers, which ensures accurate target recognition, and bystander cleavage activity triggered upon target binding, which enables robust signal amplification. These properties make CRISPR/Cas systems highly versatile for designing biosensors for ultra-sensitive detection. This review comprehensively explores recent advancements in CRISPR/Cas system-based biosensors, highlighting their impact on improving biosensing performance. We discuss the integration of CRISPR/Cas systems with diverse signal readout mechanisms, including electrochemical, fluorescent, colorimetric, surface-enhanced Raman scattering (SERS), and so on. Additionally, we examine the development of integrated biosensing systems, such as microfluidic devices and portable biosensors, which leverage CRISPR/Cas technology for point-of-care testing (POCT) and high-throughput analysis. Furthermore, we identify unresolved challenges, aiming to inspire innovative solutions and accelerate the translation of these technologies into practical applications for diagnostics, food, and environment safety.</p>","PeriodicalId":48608,"journal":{"name":"Biosensors-Basel","volume":"15 3","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11939850/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143711735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine Learning-Driven D-Glucose Prediction Using a Novel Biosensor for Non-Invasive Diabetes Management.","authors":"Pardis Sadeghi, Shahriar Noroozizadeh, Rania Alshawabkeh, Nian Xiang Sun","doi":"10.3390/bios15030152","DOIUrl":"10.3390/bios15030152","url":null,"abstract":"<p><p>Developing reliable noninvasive diagnostic and monitoring systems for diabetes remains a significant challenge, especially in the e-healthcare domain, due to computational inefficiencies and limited predictive accuracy in current approaches. The current study integrates machine learning with a molecularly imprinted polymer biosensor for detecting D-glucose in the exhaled breath condensate or aerosol. Advanced models, such as Convolutional Neural Networks and Recurrent Neural Networks, were used to analyze resistance signals, while classical algorithms served as benchmarks. To address challenges like data imbalance, limited samples, and inter-sensor variability, synthetic data generation methods like Synthetic Minority Oversampling Technique and Generative Adversarial Networks were employed. This framework aims to classify clinically relevant glucose levels accurately, enabling non-invasive diabetes monitoring.</p>","PeriodicalId":48608,"journal":{"name":"Biosensors-Basel","volume":"15 3","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11940286/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143711698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A New Chitosan-Modified Paper-Based SERS Glucose Sensor with Enhanced Reproducibility, Stability, and Sensitivity for Non-Enzymatic Label-Free Detection.","authors":"Rashida Akter, Toeun Kim, Jong Seob Choi, Hongki Kim","doi":"10.3390/bios15030153","DOIUrl":"10.3390/bios15030153","url":null,"abstract":"<p><p>We have fabricated a new highly reproducible, stable, and sensitive cellulose paper-based Surfaced-enhanced Raman scattering (SERS) sensor substrate for non-enzymatic label-free glucose detection. To enhance reproducibility, stability, and sensitivity, the cellulose paper (CP) substrate has been modified with a naturally derived biocompatible polymer, chitosan (CS), followed by depositing enormous amount of plasmonic silver nanoparticles (AgNPs) on CP/CS and finally forming a self-assembling monolayer of 4-mercaptophenyl boronic acid (MPBA) on CP/CS/AgNPs (CP/CS/AgNPs/MPBA). The SERS sensor substrate is characterized by scanning electron microscopy (SEM), energy dispersive X-ray (EDX), Fourier transform infrared (FT-IR), and X-ray diffraction (XRD) spectroscopy techniques. The glucose sensing is achieved by monitoring the SERS intensity of C-S and B-O stretching vibrations at 1072 cm^-1 in MPBA, which is gradually increased with increasing concentration of glucose due to the increasing orientation change of MPBA on AgNPs. The results show that the proposed glucose paper-based SERS sensor exhibits a high analytical enhancement factor (AEF) (3.4 × 10⁷), enhanced reproducibility (<7%), improved stability (>5 weeks), excellent selectivity towards other metabolic compounds, and high sensitivity with a limit of detection (LOD) of 0.74 mM and a linear dynamic range between 1.0 and 7.0 mM. The practical application of this SERS sensor is examined in real spiked and non-spiked human blood serum samples for the detection of glucose, and satisfactory recovery results have been obtained, demonstrating the potentiality of the present paper-based SERS sensor for non-enzymatic label-free glucose detection in real biological samples.</p>","PeriodicalId":48608,"journal":{"name":"Biosensors-Basel","volume":"15 3","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11940450/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143711703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Recent Advances in Electrochemical Biosensors for Neurodegenerative Disease Biomarkers.","authors":"Mingyu Bae, Nayoung Kim, Euni Cho, Taek Lee, Jin-Ho Lee","doi":"10.3390/bios15030151","DOIUrl":"10.3390/bios15030151","url":null,"abstract":"<p><p>Neurodegenerative diseases, such as Parkinson's disease (PD) and Alzheimer's disease (AD), represent a growing global health challenge with overlapping biomarkers. Key biomarkers, including α-synucleins, amyloid-β, and Tau proteins, are critical for accurate detection but are often assessed using conventional methods like enzyme-linked immunosorbent assay (ELISA) and polymerase chain reaction (PCR), which are invasive, costly, and time-intensive. Electrochemical biosensors have emerged as promising tools for biomarker detection due to their high sensitivity, rapid response, and potential for miniaturization. The integration of nanomaterials has further enhanced their performance, improving sensitivity, specificity, and practical application. To this end, this review provides a comprehensive overview of recent advances in electrochemical biosensors for detecting neurodegenerative disease biomarkers, highlighting their strengths, limitations, and future opportunities. By addressing the challenges of early diagnosis, this work aims to stimulate interdisciplinary innovation and improve clinical outcomes for neurodegenerative disease patients.</p>","PeriodicalId":48608,"journal":{"name":"Biosensors-Basel","volume":"15 3","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11939888/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143711737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Direct Detection and Quantification of Aqueous Proteins via a Fluorescent Probe Through the Use of Fluorophore-Induced Plasmonic Current.","authors":"Daniel R Pierce, Chris D Geddes","doi":"10.3390/bios15030150","DOIUrl":"10.3390/bios15030150","url":null,"abstract":"<p><p>We report on the recent advancements in the sensing of proteins, both directly and with the use of a fluorescent probe, through the use of Fluorophore-Induced Plasmonic Current (FIPC). FIPC are a phenomenon where a fluorophore or excited state species is in close proximity to a plasmonically active metal nanoparticle film (MNF), and the excited state is able to couple to the particle, ultimately leading to enhanced spectroscopic properties. This phenomenon is similar to the well-reported metal-enhanced fluorescence (MEF) phenomenon, wherein the coupled complex produces an enhanced fluorescence emission and a shorter lifetime. However, if the particles themselves are sufficiently spaced and oriented, an induced current can transfer from each discreet particle to the next, creating a detectable current across the film. This detectable current has a magnitude that is proportional to the fluorescent properties of the species that produced it, and can be affected by the polarization of the excitation source; the spacing and size of the particles on the film; the overlap between the spectral properties of the film and the species; as well as externally applied voltages and currents. In this study, we examined whether it is possible to detect protein species, directly due to both their intrinsic fluorescent and absorptive properties, and how that compares to commercially available protein detection probes, in a similar manner to prior work by our group addressing analyte detection via <i>turn-on</i> fluorescent probes. This FIPC-based detection technique is a novel method that has not been used for the detection of proteins, and the use of this method could expand the dynamic sensing range of first-pass testing, while overcoming some of the physical limitations on the upper limit of detection of both absorption spectroscopy and fluorescence emission spectroscopy. Our experiments sought to highlight the selectivity of FIPC-based detection relative to both fluorescence and absorption spectroscopy, as well as its sensitivity when working with protein analytes. We examined the effects of protein concentration, intrinsic fluorescent properties, and <i>turn-on</i> probes, as well as how these techniques compare to traditional analytical techniques used today.</p>","PeriodicalId":48608,"journal":{"name":"Biosensors-Basel","volume":"15 3","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11940231/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143711755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"At-Home Breath Data Collection for Signatures of Type 2 Diabetes: A Pilot Clinical Study.","authors":"Sokiyna Naser, Deborah A Roberts, Sudhir Shrestha","doi":"10.3390/bios15030149","DOIUrl":"10.3390/bios15030149","url":null,"abstract":"<p><p>This study investigates the potential of volatile organic compounds (VOCs) in breath as non-invasive biomarkers for monitoring blood glucose levels in individuals with Type 2 diabetes mellitus (T2DM). A pilot clinical study was conducted to explore the correlation between VOCs and blood glucose levels in six T2DM patients. Participants used a custom-developed sensor device to collect breath data at home, alongside finger-stick blood glucose readings. Breath data were transmitted to a cloud database, while blood glucose readings were recorded on paper charts. The sensor data from the device and the blood glucose readings from the charts were consolidated to create the study dataset. Support vector machine and random forest models were employed to analyze the dataset, which achieved accuracies of 85% and 82%, respectively. The results demonstrate the feasibility of at-home breath sensor data collection for clinical studies and suggest its potential as a viable alternative to traditional invasive glucose monitoring methods. Future studies will expand the dataset to include more participants and additional clinical variables to enhance model performance and predictive power. This research highlights the promise of non-invasive breath analysis for glucose monitoring, which could improve patient compliance and diabetes management.</p>","PeriodicalId":48608,"journal":{"name":"Biosensors-Basel","volume":"15 3","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11940295/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143711764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}