IEEE Transactions on NanoBioscience最新文献_第2页

Biosynthesis of Silver and Zinc Oxide Nanoparticles Using Platostoma palustre Aqueous Extract for Biomedical Applications. 生物医学应用中利用palostoma palustre水萃取物生物合成氧化银和氧化锌纳米粒子。

IF 3.7 4区生物学

IEEE Transactions on NanoBioscience Pub Date : 2025-04-24 DOI: 10.1109/TNB.2025.3563382

Hoang Phuong Uyen Nguyen, Hoang Van Huy Dai, Anh Hue Luong, Wei-Chih Lin

{"title":"Biosynthesis of Silver and Zinc Oxide Nanoparticles Using Platostoma palustre Aqueous Extract for Biomedical Applications.","authors":"Hoang Phuong Uyen Nguyen, Hoang Van Huy Dai, Anh Hue Luong, Wei-Chih Lin","doi":"10.1109/TNB.2025.3563382","DOIUrl":"https://doi.org/10.1109/TNB.2025.3563382","url":null,"abstract":"This study highlights the structural, antioxidant, antibacterial, and anti-inflammatory properties of silver nanoparticles (AgNPs) and zinc oxide nanoparticles (ZnONPs), synthesized successfully using Hsiantsao aqueous extract as an eco-friendly alternative to traditional chemical methods. The antioxidant activity of the nanoparticles was assessed through DPPH, ABTS, and FRAP assays. The XRD spectra of biosynthesized silver nanoparticles (AgNPs) and zinc oxide nanoparticles (ZnONPs) are showed size average of 7 nm and 24-44 nm, respectively. AgNPs demonstrated notable antioxidant properties, achieving 70%±0.68 DPPH scavenging and 75%±0.82 ABTS inhibition at 0.1 mg/mL. ZnONPs showed superior efficacy, with 47.43%± 0.68 DPPH scavenging and 80%±0.82 ABTS inhibition, as well as robust reducing power in the FRAP assay, comparable to standard ascorbic acid. Antibacterial assays revealed that AgNPs were particularly effective against Gram-positive bacteria, while ZnONPs exhibited activity against both Grampositive and Gram-negative strains. Additionally, ZnONPs demonstrated exceptional anti-inflammatory potential, inhibiting protein denaturation by up to 91% at 0.01 mg/mL. These structural and functional characteristics position AgNPs and ZnONPs as promising candidates for biomedical applications. These findings underscore the versatility of AgNPs and ZnONPs in advancing modern healthcare solutions.","PeriodicalId":13264,"journal":{"name":"IEEE Transactions on NanoBioscience","volume":"PP ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143998102","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}

引用次数: 0

Fabrication and Characterization of ZnO/Graphene Thin Film Alcohol Sensor. ZnO/石墨烯薄膜酒精传感器的制备与表征。

IF 3.7 4区生物学

IEEE Transactions on NanoBioscience Pub Date : 2025-04-23 DOI: 10.1109/TNB.2025.3563456

Routu Santosh, Anuriddh Bahadur Yadav, Ball Mukund Mani Tripathi, Rahul Checker, Pankaj Kumar

引用次数: 0

Exploring the Antibacterial, Anticoagulant, and Hemolytic Potential of Green-Synthesized Fe₂O₃ Nanoparticles by Cucurbita pepo pulp. 利用葫芦果肉制备绿色纳米Fe2O3的抗菌、抗凝血和溶血性能研究。

IF 3.7 4区生物学

IEEE Transactions on NanoBioscience Pub Date : 2025-04-22 DOI: 10.1109/TNB.2025.3563307

Hansa Gul, Haris Ahmed Khan, Zahida Nasreen, Nasir Assad, Syed Ali Turab, Muhammad Hanif

{"title":"Exploring the Antibacterial, Anticoagulant, and Hemolytic Potential of Green-Synthesized Fe2O3 Nanoparticles by Cucurbita pepo pulp.","authors":"Hansa Gul, Haris Ahmed Khan, Zahida Nasreen, Nasir Assad, Syed Ali Turab, Muhammad Hanif","doi":"10.1109/TNB.2025.3563307","DOIUrl":"https://doi.org/10.1109/TNB.2025.3563307","url":null,"abstract":"Iron oxide nanoparticles (Fe2O3 NPs) were successfully Synthesized in a green manner using Cucurbita pepo pulp extract as a natural capping and reducing agent. UV-vis spectroscopy verified the synthesis with a distinct absorption peak at 285 nm, while FTIR analysis revealed functional groups responsible for reduction and stabilization. X-ray diffraction (XRD) analysis confirmed the crystalline nature of the nanoparticles, with an average size of 21.5 nm. SEM and EDX analyses further validated the nanoparticles' spherical morphology and elemental composition. Biosynthesized IONPs exhibited notable antibacterial activity against multidrug-resistant bacterial strains such as Klebsiella pneumoniae and Pseudomonas aeruginosa. The inhibition zones ranged between 5-22 mm for Klebsiella pneumoniae and from 4 to 12 mm for Pseudomonas aeruginosa, depending on the concentration of the nanoparticles. Hematological evaluations demonstrated strong anticoagulant and thrombolytic properties. Iron oxide nanoparticles effectively inhibited blood coagulation at 40 μg/mL and showed significant thrombolytic activity by dissolving preformed clots at 50 μg/mL. The biosynthesized IONPs showed remarkable antioxidant activity that was comparable to standard. This study underscores the potential of Cucurbita pepo as a sustainable and eco-friendly resource for synthesizing multifunctional IONPs. The results suggest promising applications to address antibiotic resistance and manage blood-related disorders. Furthermore, the findings highlight the critical role of green nanotechnology in the advancement of environmentally sustainable and biocompatible nanomaterials for diverse biomedical applications.","PeriodicalId":13264,"journal":{"name":"IEEE Transactions on NanoBioscience","volume":"PP ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144011637","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}

引用次数: 0

A Novel Linear Machine Learning Method Based on DNA Hybridization Reaction Circuit 一种新的基于DNA杂交反应电路的线性机器学习方法。

IF 3.7 4区生物学

IEEE Transactions on NanoBioscience Pub Date : 2025-04-15 DOI: 10.1109/TNB.2025.3559480

Chengye Zou;Qiang Zhang;Bin Wang;Changjun Zhou;Yongwei Yang;Xuncai Zhang

{"title":"A Novel Linear Machine Learning Method Based on DNA Hybridization Reaction Circuit","authors":"Chengye Zou;Qiang Zhang;Bin Wang;Changjun Zhou;Yongwei Yang;Xuncai Zhang","doi":"10.1109/TNB.2025.3559480","DOIUrl":"10.1109/TNB.2025.3559480","url":null,"abstract":"DNA hybridization reaction is a significant technology in the field of semi-synthetic biology and holds great potential for use in biological computation. In this study, we propose a novel machine learning model based on a DNA hybridization reaction circuit. This circuit comprises a computation training component, a test component, and a learning algorithm. Compared to conventional machine learning models based on semiconductors, the proposed machine learning model harnesses the power of DNA hybridization reaction, with the learning algorithm implemented based on the unique properties of DNA computation, enabling parallel computation for the acquisition of learning results. In contrast to existing machine learning models based on DNA circuits, our proposed model constitutes a complete synthetic biology computation system, and utilizes the “dual-rail” mechanism to achieve the DNA compilation of the learning algorithm, which allows the weights to be updated to negative values. The proposed machine learning model based on DNA hybridization reaction demonstrates the ability to predict and fit linear functions. As such, this study is expected to make significant contributions to the development of machine learning through DNA hybridization reaction circuits.","PeriodicalId":13264,"journal":{"name":"IEEE Transactions on NanoBioscience","volume":"24 3","pages":"374-385"},"PeriodicalIF":3.7,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143989744","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}

引用次数: 0

Effective IDS Error Correction Algorithms for DNA Storage Channels With Multiple Output Sequences 多输出序列DNA存储通道的有效IDS纠错算法。

IF 3.7 4区生物学

IEEE Transactions on NanoBioscience Pub Date : 2025-04-08 DOI: 10.1109/TNB.2025.3558853

Caiyun Deng;Guojun Han;Pengchao Han;Yi Fang

{"title":"Effective IDS Error Correction Algorithms for DNA Storage Channels With Multiple Output Sequences","authors":"Caiyun Deng;Guojun Han;Pengchao Han;Yi Fang","doi":"10.1109/TNB.2025.3558853","DOIUrl":"10.1109/TNB.2025.3558853","url":null,"abstract":"DNA data storage is a cutting-edge storage technique due to its high density, replicability, and long-term capability. It involves encoding, insertion, deletion, and substitution (IDS) channels for data synthesis and sequencing, and decoding processes. The IDS channels that feature multiple output sequences are prone to IDS errors, complicating the decoding process and degrading the performance of DNA data storage. To address this issue, we investigate effective IDS error correction algorithms considering two encoding schemes in DNA data storage. Specifically in the encoding process, we use marker codes (MC) and embedded marker codes (EMC) as inner codes, respectively, both connected to low-density parity-check (LDPC) codes as outer codes. First, we propose the segmented progressive matching (SPM) algorithm to infer the consensus sequence from multiple output sequences, thereby facilitating the decoding processes. Moreover, when using MC as the inner code, we propose a synchronous decoding algorithm based on the Hidden Markov Model (SDH) to infer the a posteriori probability (APP) of base symbols, which supports the external decoding algorithm. Furthermore, when the inner code is EMC, we propose the iterative external decoding (IED) algorithm. IED integrates synchronous decoding with embedded normalized min-sum decoding (ENMS) to achieve an enhanced APP for external decoding, enabling lower bit-error rate (BER) transmission. Meanwhile, we reduce the complexity of the external decoder by minimizing checksum node computations. Comparing the two schemes reveals that the SDH algorithm with MC as the inner code offers a lightweight solution for DNA data storage. In contrast, the IED with EMC demonstrates superior decoding performance with a linear complexity scale by the number of iterations. Compared with existing studies, simulation results show that our proposed decoding algorithm reduces the BER by <inline-formula> <tex-math>${21}.{72}% sim {99}.{75}%$ </tex-math></inline-formula>.","PeriodicalId":13264,"journal":{"name":"IEEE Transactions on NanoBioscience","volume":"24 3","pages":"386-394"},"PeriodicalIF":3.7,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143811400","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}

引用次数: 0

IEEE Transactions on NanoBioscience Publication Information IEEE纳米生物科学学报

IF 3.7 4区生物学

IEEE Transactions on NanoBioscience Pub Date : 2025-03-26 DOI: 10.1109/TNB.2025.3551707

引用次数: 0

IEEE Transactions on NanoBioscience Information for Authors IEEE纳米生物科学信息汇刊

IF 3.7 4区生物学

IEEE Transactions on NanoBioscience Pub Date : 2025-03-26 DOI: 10.1109/TNB.2025.3551711

引用次数: 0

Carbon Nitride-Supported Copper Oxide for Non-Enzymatic Glucose Sensor: A Multi-Platform Approach Utilizing Electrochemical, Field Effect Transistor, and Microcontroller-Based IoT Systems 用于非酶葡萄糖传感器的碳氮负载氧化铜：利用电化学，场效应晶体管和基于微控制器的物联网系统的多平台方法。

IF 3.7 4区生物学

IEEE Transactions on NanoBioscience Pub Date : 2025-03-21 DOI: 10.1109/TNB.2025.3553622

Chandan Saha;Pooja Kumari;Lungelo Mgenge;Sarit Ghosh;Venkata Perla;Harishchandra Singh;Kaushik Mallick

{"title":"Carbon Nitride-Supported Copper Oxide for Non-Enzymatic Glucose Sensor: A Multi-Platform Approach Utilizing Electrochemical, Field Effect Transistor, and Microcontroller-Based IoT Systems","authors":"Chandan Saha;Pooja Kumari;Lungelo Mgenge;Sarit Ghosh;Venkata Perla;Harishchandra Singh;Kaushik Mallick","doi":"10.1109/TNB.2025.3553622","DOIUrl":"10.1109/TNB.2025.3553622","url":null,"abstract":"The new generation of glucose biosensors has attracted significant research interest due to its fast response, high stability, reproducibility, portability and low detection limit. In this work, various types of high-performance non-enzymatic glucose sensors are proposed, based on carbon nitride supported copper oxide nanoparticles (CNCO). The hybrid system was synthesized using a modified deposition-precipitation route where the copper oxide nanoparticles were dispersed on the carbon nitride matrix. The X-ray diffraction pattern revealed that the copper oxide nanoparticles exhibit a high degree of crystallinity with a monoclinic structure. The synthesized hybrid material was used as a catalyst for the electrochemical detection of glucose in the range of 0 to 15.6 mM, demonstrating a detection limit of 0.59 mM and a sensitivity of 0.53 mA.mM<inline-formula> <tex-math>${}^{-{1}}$ </tex-math></inline-formula>.cm<inline-formula> <tex-math>${}^{-{2}}$ </tex-math></inline-formula>. The CNCO based extended gate field effect transistor, at different glucose concentrations (1-9 mM), showed limit of detection and sensitivity values of 0.59 mM and 0.065 mA.mM<inline-formula> <tex-math>${}^{-{1}}$ </tex-math></inline-formula>.cm<inline-formula> <tex-math>${}^{-{2}}$ </tex-math></inline-formula>, respectively. A microcontroller-based glucose sensor was also implemented in this study that exhibited the sensitivity value of 1.46 mV/mM within the concentration range of 2-8 mM. The carbon nitride-supported copper oxide-based glucose sensors exhibit excellent reproducibility, sufficient stability and high selectivity, making them a promising candidate for real-life sensing applications.","PeriodicalId":13264,"journal":{"name":"IEEE Transactions on NanoBioscience","volume":"24 3","pages":"348-356"},"PeriodicalIF":3.7,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143673712","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}

引用次数: 0

Enhanced Redundant Residue Number System Codes for Reliable Diffusive Molecular Communication 可靠扩散分子通信的增强型冗余数系统码。

IF 3.7 4区生物学

IEEE Transactions on NanoBioscience Pub Date : 2025-03-20 DOI: 10.1109/TNB.2025.3553183

Liwei Mu

{"title":"Enhanced Redundant Residue Number System Codes for Reliable Diffusive Molecular Communication","authors":"Liwei Mu","doi":"10.1109/TNB.2025.3553183","DOIUrl":"10.1109/TNB.2025.3553183","url":null,"abstract":"This paper introduces an improved redundant residue number system (RRNS) encoding method to enhance the reliability of information transmission in diffusive molecular communication (DMC). In addressing the 2-1 mapping issue in RRNS encoding, we propose a simplified low-mapping solution that effectively avoids the 2-1 mapping problem, thereby simplifying the decoding process. Leveraging the superior performance of the low-mapping algorithm, we further developed a direct decision algorithm that further simplifies the decoding algorithm by omitting the traditional minimum distance decision-making steps. Furthermore, this study delves into the impact of modulus selection on RRNS decoding performance and provides guidelines for optimizing code construction. Through simulation experiments on DMC channels, we have validated the effectiveness of the proposed RRNS encoding method, especially when employing binary concentration shift keying (BCSK) modulation and considering intersymbol interference (ISI). The simulation results show that the proposed encoding method not only significantly reduces the bit error rate (BER) but also fully meets the requirements of DMC systems, offering a promising new direction for the development of molecular communication technology. With these improvements, our method not only enhances the reliability of information transmission in DMC systems but also lays a solid foundation for future research and applications in molecular communication technology.","PeriodicalId":13264,"journal":{"name":"IEEE Transactions on NanoBioscience","volume":"24 3","pages":"366-373"},"PeriodicalIF":3.7,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143669794","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}

引用次数: 0

A High Sensitive Nanomaterial Coated Side Polished Fiber Sensor for Detection of Cardiac Troponin I Antibody 一种用于检测心肌肌钙蛋白I抗体的高灵敏度纳米材料涂层侧抛光纤维传感器。

IF 3.7 4区生物学

IEEE Transactions on NanoBioscience Pub Date : 2025-03-06 DOI: 10.1109/TNB.2025.3548823

M. Valliammai;J. Mohanraj;Balasubramanian Esakki;Lung-Jieh Yang;Chua-Chin Wang;A. Bakiya

{"title":"A High Sensitive Nanomaterial Coated Side Polished Fiber Sensor for Detection of Cardiac Troponin I Antibody","authors":"M. Valliammai;J. Mohanraj;Balasubramanian Esakki;Lung-Jieh Yang;Chua-Chin Wang;A. Bakiya","doi":"10.1109/TNB.2025.3548823","DOIUrl":"10.1109/TNB.2025.3548823","url":null,"abstract":"The advent of evanescent field based fiber optic biosensor and advancements in nanotechnology has create an excellent opportunity in label-free detection of biomarkers which plays vital role in the early, rapid and accurate diagnosis of acute diseases. In this work, we demonstrate a high sensitive Molybdenum Tungsten Disulfide (MoWS2) coated side polished fiber (SPF) biosensor for accurate and early diagnosis of cardio vascular disease (CVD). The Cardiac Troponins I (cTnI) is identified as a biomarker of interest for early and rapid diagnosis of CVD. The proposed SPF biosensor exhibits surface plasmonic resonance (SPR) detection due to the evanescent field interaction between MoWS2 nano coated side polished region and anti-CTnI. The proposed SPF biosensor possess the high sensitivity of 82% to detect the cTnI antibody with a limit of detection (LOD) about 17.5 pg/mL. The peak SPR shift have been calculated as 61 nm for analyte concentrations of 500 pg/mL Moreover, the proposed SPF biosensor possess the high degree of selectivity and environmental stability to CTnI among three analytes such as CTnI, Estrogen and Glucose. The hydrophobic interactions of MoWS2 and cTnI antibody leads to chemical free biofunctionalization of antibody in the sensing region. Hence, the simulation results shows the surface interaction strength calculated as 1.29 KJ mol−1/nm2 in order to evaluate the hydrophobic interactions. Thus, the proposed optical biosensor is a promising candidate for “point-of-care” testing of CVD disorders and preclinical assessments.","PeriodicalId":13264,"journal":{"name":"IEEE Transactions on NanoBioscience","volume":"24 3","pages":"357-365"},"PeriodicalIF":3.7,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143572947","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}

引用次数: 0