IEEE Transactions on NanoBioscience最新文献

{"title":"A Dual-Amplification DNA Fluorescence Biosensor Based on Strand Displacement.","authors":"Fang Wang, Ming Lei, Hongxin Lin, Xin Chen, Sirui Li, Zhihua Chen, Xiaolong Shi, Zheng Kou, Xiaoli Qiang","doi":"10.1109/TNB.2026.3741364","DOIUrl":"https://doi.org/10.1109/TNB.2026.3741364","url":null,"abstract":"<p><p>The development of high-sensitivity biosensing architectures with integrated signal processing capabilities remains a cornerstone of molecular diagnostics. To address the requirements for ultralow-concentration detection, we developed a programmable and modular dual-amplification DNA fluorescent biosensor (DDFB). This platform features a decoupled architecture that synergistically integrates an upstream entropy-driven catalytic (EDC) circuit for initial signal gain with a downstream hybridization chain reaction (HCR) for high-order reporting. As an enzymefree logic-capable system, the DDFB exhibited an experimentally supported linear range of 100 pM-10 nM for ARG detection, spanning two orders of magnitude, with an estimated LOD of 9.14 pM calculated using the 3σ/S criterion. Furthermore, this detection scheme enables versatile platform expansion through modular design, which exhibits superior performance in the detection of both antibiotic resistance genes (ARGs) and miR-141. Collectively, this research provides a robust, reconfigurable framework for next-generation nanobiosensors and information-processing DNA circuits.</p>","PeriodicalId":13264,"journal":{"name":"IEEE Transactions on NanoBioscience","volume":"PP ","pages":""},"PeriodicalIF":4.2,"publicationDate":"2026-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149136414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Directly Encrypting DNA Sequences for Secure DNA Storage via Automata Cryptography","authors":"Jun Kang;Lijun Sun;Xiang Liu;Ziyuan Yang;Bin Wang;Shihua Zhou;Ben Cao;Pan Zheng","doi":"10.1109/TNB.2026.3695368","DOIUrl":"10.1109/TNB.2026.3695368","url":null,"abstract":"DNA data storage is an emerging data storage method with an extremely long storage duration and high density, yet it currently lacks adequate consideration for data security. Existing encryption methods for DNA storage are based on bit-level encryption, which makes them incompatible with DNA encoding methods based on data characteristics. In this study, we propose a method for directly encrypting DNA sequences via automata cryptography for secure DNA storage (DNA-AC) to solve the above challenges. In DNA-AC, sequence-level encryption is achieved through diffusion and rotation of bases, making the base distribution more uniform and random, improving the security of DNA storage data. Security analysis demonstrates that DNA-AC exhibits a high key space, an information entropy close to 2, a Number of Bases Change Rate (NBCR) of 75% and Bases Average Changing Intensity (BACI) of 42%, showing strong resistance to malicious attacks. Compared to representative works, DNA-AC supports parallel processing to accommodate high-throughput parallel DNA synthesis and sequencing. In general, DNA-AC offers a secure, high-performance, and scalable solution for DNA storage encryption, with the potential to be an ideal data encryption approach for DNA storage devices.","PeriodicalId":13264,"journal":{"name":"IEEE Transactions on NanoBioscience","volume":"25 4","pages":"498-507"},"PeriodicalIF":4.2,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147981628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Real-Time Dual Sensing of cTnI and Myoglobin via Printable Graphitized Electrodes","authors":"Suhaib Imtiyaz;Mohsina Afrooz;Parvathy Nair;Sonal Fande;Khairunnisa Amreen;Sanket Goel","doi":"10.1109/TNB.2026.3690757","DOIUrl":"10.1109/TNB.2026.3690757","url":null,"abstract":"Acute myocardial infarction (AMI) has emerged as a serious global health concern. According to the World Health Organization (WHO), health authorities report approximately 100 million cases annually worldwide, with about 9 million associated mortalities. As AMI can affect individuals regardless of their age or prior health status, making early and pre-symptomatic detection is crucial for clinical intervention. Targeting AMI biomarkers such as cardiac troponin I (cTnI) and myoglobin is therefore essential for timely diagnosis and treatment. Hence, the development of ultra-sensitive and highly specific sensors is crucial. Herein, a laser-induced graphene (LIG)-based electrochemical biosensor capable of dual detection of two pivotal AMI biomarkers, cTnI and myoglobin, is presented, hence addressing the need for simultaneous biomarker monitoring. Electrochemical analytical techniques such as Cyclic voltammetry (CV) and differential pulse voltammetry (DPV) techniques were employed, achieving limits of detection (LoD) and quantification (LoQ) of 0.035 ng/mL and 0.105 ng/mL for cTnI, and 1.39 ng/mL and 4.25 ng/mL for myoglobin, respectively. The fabricated electrodes exhibited excellent stability and reproducibility, supported by physicochemical characterizations confirming detailed electrode morphology. Furthermore, this dual-detection platform was successfully tested for real-time detection in human blood serum, yielding high recovery values and demonstrating its potential for practical, real-world applications.","PeriodicalId":13264,"journal":{"name":"IEEE Transactions on NanoBioscience","volume":"25 4","pages":"451-458"},"PeriodicalIF":4.2,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147837338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Biogenic Synthesis of Ag/AgCl Nanoparticles From Schinus Molle Ethanolic Extracts: Evaluation of Their Antibacterial and Antifungal Activity Against Broccoli Pathogens","authors":"María Gómez-Espinoza;Bernabé Rebollo-Plata;Mercedes Portillo-Sampedro;Alda Alejandra Arratia-Castro;Miguel Ángel Guzmán-Altamirano","doi":"10.1109/TNB.2026.3685100","DOIUrl":"10.1109/TNB.2026.3685100","url":null,"abstract":"Fruits and vegetables are common sources of foodborne illnesses and are susceptible to deterioration after harvest due to physiological changes and the presence of pathogenic microorganisms. Broccoli (<italic>Brassica oleracea</i> var. <italic>italica</i>) is a crop of commercial and nutritional relevance; however, flower rot occurring in the field and during postharvest handling can affect its quality and yield. In Mexico, this condition has been associated with the phytopathogens <italic>Fusarium oxysporum</i>, <italic>Fusarium verticillioides</i>, and <italic>Alternaria alternata</i>. This context highlights the need to explore alternatives to lessen the impact of these microorganisms, including the use of nanoparticles with antimicrobial properties. In this study, silver/silver chloride nanoparticles (Ag/AgClNPs) were synthesized using an ethanolic extract of <italic>Schinus molle</i> leaves. The resulting nanomaterial exhibited quasi-spherical morphology and polydisperse particle sizes ranging from 6 to 93 nm. The Ag/AgClNPs showed antibacterial activity against <italic>Escherichia coli</i>, <italic>Salmonella agona</i>, <italic>Salmonella infantis</i>, <italic>Staphylococcus aureus</i>, <italic>Bacillus cereus</i>, and <italic>Pseudomona</i>s spp., with minimum inhibitory concentrations (MICs) of 8, 64, 32, 32, 64, and <inline-formula> <tex-math>$64~mu $ </tex-math></inline-formula>g/mL, respectively. The nanoparticles also inhibited the in vitro mycelial growth of <italic>Alternaria alternata</i>, <italic>Fusarium oxysporum</i>, and <italic>Fusarium verticillioides</i>, with species-dependent efficacy and maximum inhibition values of approximately 69%, 51%, and 23%, respectively, at <inline-formula> <tex-math>$512~mu $ </tex-math></inline-formula>g/mL. In postharvest assays on broccoli florets, qualitative effects on fungal development were observed.","PeriodicalId":13264,"journal":{"name":"IEEE Transactions on NanoBioscience","volume":"25 4","pages":"422-434"},"PeriodicalIF":4.2,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147716676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Immunomagnetic Nanoprobe-Mediated Capture of Circulating Multiple Myeloma Cells for Monitoring of Proteasome Inhibitor Response","authors":"Ran Lai;Mengyi Li;Huanxin Zhang;Shijiao Zou;Yue Yan;Shiping Wu;Yuxin Qiao;Xinning Cheng;Tao Wang;Chenglin Li","doi":"10.1109/TNB.2026.3715269","DOIUrl":"10.1109/TNB.2026.3715269","url":null,"abstract":"Multiple myeloma (MM) is the second most prevalent hematologic malignancy worldwide. Proteasome inhibitors (PIs) are currently first-line clinical therapies, yet drug resistance has become a major challenge in clinical diagnosis and treatment. The invasiveness of bone marrow biopsies and the low sensitivity of serum monoclonal protein assays impede the early and precise assessment of proteasome inhibitors (PIs) resistance. Circulating MM cells (CMMCs) enable minimally invasive, dynamic monitoring of PI efficacy but are limited by insufficient sensitivity and specificity of current detection methods. In this study, an engineered and robust immunomagnetic nanoprobe (Fe₃O₄@NH₂-<inline-formula> <tex-math>${mathrm{MIL}}_{text {88 {B}}}$ </tex-math></inline-formula>@CD138/CD38) was fabricated, by effectively loading magnetic Fe₃O₄ nanoparticles onto metal-organic framework nanorods (NH₂-<inline-formula> <tex-math>${mathrm{MIL}}_{text {88 {B}}}text {)}$ </tex-math></inline-formula> functionalized with dual CD138 and CD38 antibodies. This nanoprobe created an efficient bio-interface to achieve high-efficiency CMMC capture within the range of <inline-formula> <tex-math>$8sim 250$ </tex-math></inline-formula> cells/<inline-formula> <tex-math>$300~mu $ </tex-math></inline-formula>L. Using 1.0 mL peripheral blood from each patient, we captured CMMCs with the Fe₃O₄@NH₂-<inline-formula> <tex-math>${mathrm{MIL}}_{text {88 {B}}}$ </tex-math></inline-formula>@CD138/CD38 nanoprobe and systematically evaluated the correlations between CMMC counts and key clinicopathologic parameters and clinical therapeutic response to PIs in MM patients. CMMC counts were associated with MM clinical stages. Moreover, dynamic changes in CMMC counts measured by this nanoprobe can sensitively reflect responses to PIs therapy. Specifically, CMMC counts were elevated in nearly all patients with progressive disease and decreased in patients with a favorable treatment response. This work provides a potential index for real-time assessing MM disease progression and PIs treatment outcomes.","PeriodicalId":13264,"journal":{"name":"IEEE Transactions on NanoBioscience","volume":"25 4","pages":"531-539"},"PeriodicalIF":4.2,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148535730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Nanostructured CuO--Enhanced Chemiluminescent Hybrid Microfluidic Platform for Total Cholesterol Biosensing","authors":"Kavita Manekar;Meghana A. Hasamnis","doi":"10.1109/TNB.2026.3692599","DOIUrl":"10.1109/TNB.2026.3692599","url":null,"abstract":"Total Cholesterol (TC) monitoring in blood serum is critically important for assessing cardiovascular risk and metabolic health. In this work, we report a nano-bioscience-enabled cholesterol-sensing portable platform that integrates copper oxide (CuO) nanoparticles and a hybrid microfluidic chip, along with smartphone-based chemiluminescence (CL) imaging and computational analysis. The hybrid microfluidic miniaturized chip, fabricated using PDMS material and Whatman filter paper, enables efficient reagent transport, on chip micromixing, and localized signal generation. CuO nanoparticles act as catalytic enhancers for the luminol–H₂O₂ chemiluminescence reaction initiated by cholesterol oxidase, resulting in strengthened and stable photon emission. Chemiluminescence signals were captured using a smartphone camera placed in a 3D-printed dark box and analyzed through a customized mobile application, Intensity Tracker application, for intensity evaluation proportional to cholesterol concentration. The proposed work gives a linear detection range for the cholesterol over a concentration of 0.06-1.5 mM, with a limit of detection of 0.05 mM and a limit of quantification of 0.191 mM, demonstrating strong analytical performance R<inline-formula> <tex-math>${}^{{2}}~approx ~0.98$ </tex-math></inline-formula>. Validation using human serum samples yielded recovery values ranging from 92 to 101%, confirming high accuracy and minimal matrix interference when compared with results from a standard biochemistry analyzer. The developed hybrid microfluidic chemiluminescence analyzer features a compact design, low cost, and user-friendly operation, presenting a promising solution for rapid, accurate, and decentralized cholesterol monitoring in point-of-care and resource-limited settings. Future work will focus on multiplexed biomarker detection, and integration with AI-based analysis for real-time clinical decision support.","PeriodicalId":13264,"journal":{"name":"IEEE Transactions on NanoBioscience","volume":"25 4","pages":"490-497"},"PeriodicalIF":4.2,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147928933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"IEEE Transactions on NanoBioscience Information for Authors","authors":"","doi":"10.1109/TNB.2026.3714637","DOIUrl":"https://doi.org/10.1109/TNB.2026.3714637","url":null,"abstract":"","PeriodicalId":13264,"journal":{"name":"IEEE Transactions on NanoBioscience","volume":"25 4","pages":"C3-C3"},"PeriodicalIF":4.2,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11719411","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149097005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reproducible Quantification of Pseudomonas aeruginosa via MIP-Functionalized SPR-FPI Optical Fiber Sensor","authors":"Wanlu Zheng;Weixin Kong;Na Zhang;Zhong Li;Ya-Nan Zhang","doi":"10.1109/TNB.2026.3687229","DOIUrl":"10.1109/TNB.2026.3687229","url":null,"abstract":"A reusable optical fiber surface plasmon resonance (SPR) sensor for quantitative detection of <italic>Pseudomonas aeruginosa</i> is presented. To achieve repeatable measurement, this study used aptamer DNA as the functional monomer and polydopamine as the cross-linking agent to construct a molecularly imprinted nanofilm on the sensing surface. After elution treatment, molecularly imprinted cavities with high matching shape and size to the target molecule are formed in the nanofilm. Experimental results demonstrated that the sensors enhanced by molecular imprinting technology achieved an increase in resonance wavelength response from 10.677 nm to 24.98 nm, a reduction in response time from 22 minutes to 16 minutes, and an improvement in detection limit from 0.00985 OD to 0.00105 OD, compared with sensors only modified with functional monomers. Moreover, to address the problem of temperature interference in practical applications, a Fabry-Perot interferometer (FPI) is innovatively integrated. By taking advantage of the temperature sensitivity but bacterial insensitivity of FPI, the influence of temperature changes on SPR measurement is quantified, effectively providing temperature compensation and further improving the environmental adaptability of the sensor. This study provides a novel, reliable, and cost-effective detection solution for marine environmental microbial monitoring.","PeriodicalId":13264,"journal":{"name":"IEEE Transactions on NanoBioscience","volume":"25 4","pages":"435-442"},"PeriodicalIF":4.2,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147770245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Label-Free Detection of Thyroid Cancer Biomarkers Using Heterojunction GAA Ferroelectric p-n-i-n TFET Biosensor","authors":"Shib Sankar Das;Subir Kumar Sarkar","doi":"10.1109/TNB.2026.3690174","DOIUrl":"10.1109/TNB.2026.3690174","url":null,"abstract":"The global rise in thyroid cancer incidence has intensified the demand for reliable, rapid and minimally invasive diagnostic tools as current clinical practice often result in unnecessary surgical procedures for benign thyroid nodules. In this context, this work proposes a highly sensitive label-free biosensor, based on a heterojunction gate-all-around ferroelectric p-n-i-n tunnel field effect transistor (HJ-GAA-Fe p-n-i-n TFET) for early thyroid cancer detection. The sensing mechanism leverages variations of the dielectric properties and charge states of thyroid cells, which modulates electrostatic environment of the device. A ferroelectric gate stack introduces a negative capacitance effect that amplifies biomolecule induced electrical perturbations, while a nanocavity beneath the gate metal provides a dedicated region for thyroid cell immobilization. TCAD based simulations are used to evaluate clinically relevant sensitivity metrics including drain current, ON-OFF current ratio and threshold voltage. Furthermore, the proposed biosensor’s reliability is assessed through response time, limit of detection (LOD), temperature stability, fill factor variation, early-stage detection capability, steric hindrance effect and noise immunity. The influence of both charged and neutral thyroid cancer cells is systematically analyzed. The proposed biosensor achieved a drain current sensitivity of <inline-formula> <tex-math>$5.2times 10^{{8}}$ </tex-math></inline-formula>, an ON-OFF ratio sensitivity of <inline-formula> <tex-math>$3.23times 10^{{6}}$ </tex-math></inline-formula>, a threshold voltage shift of 0.25 V, and selectivity of 12.41 of cancerous thyroid cells, indicating strong potential for accurate and early thyroid cancer diagnostic purpose.","PeriodicalId":13264,"journal":{"name":"IEEE Transactions on NanoBioscience","volume":"25 4","pages":"443-450"},"PeriodicalIF":4.2,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147837251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Physics-Informed Neural Operators for Signal Modeling in Particle-Based Communications","authors":"O. Tansel Baydas;Ozgur B. Akan","doi":"10.1109/TNB.2026.3693618","DOIUrl":"10.1109/TNB.2026.3693618","url":null,"abstract":"Data-driven channel models often require extensive simulation data and capture only limited statistics of the underlying physical process. To address these limitations in diffusion-based particle signaling, we build upon physics-informed machine learning to develop a framework that fuses sparse channel measurements with governing diffusion–reaction laws. This work explores physics-informed operator learning for particle-based communication channels, aiming to bridge mechanistic PDE modeling and data-driven surrogates in this domain. Our method employs a Physics-Informed Neural Operator (PINO) to predict the spatiotemporal particle concentration field and generalizes across channel configurations with reduced dependence on explicit geometric parameterization. We further extend the framework to model quorum sensing between bacterial colonies, capturing autoinducer dynamics. Compared with Physics-Informed Neural Networks (PINNs) and Deep Operator Networks (DeepONets), PINO achieves high accuracy and significant computational efficiency: on the nanomachine channel, PINO reduces the relative <inline-formula> <tex-math>$bf{ {ell}_{2}}$ </tex-math></inline-formula> error from 99.3% to 9.2%; on the quorum sensing model, PINO improves <inline-formula> <tex-math>$bf {R}^{{2}}$ </tex-math></inline-formula> from 0.808 (DeepONet) to 0.999, while multi-resolution inference yields 4–5<inline-formula> <tex-math>$times $ </tex-math></inline-formula> speed-ups on coarse grids. These results highlight physics-informed operator learning as a promising method for particle-based communication networks.","PeriodicalId":13264,"journal":{"name":"IEEE Transactions on NanoBioscience","volume":"25 4","pages":"468-476"},"PeriodicalIF":4.2,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147941326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}