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Peroxidase nanozyme-incorporated sponge: A smartphone-enabled dual-mode visual sensing platform for trace uric acid detection via a shape-memory effect-driven signal amplification strategy 过氧化物酶纳米酶结合海绵:通过形状记忆效应驱动的信号放大策略,用于微量尿酸检测的智能手机双模式视觉传感平台
IF 10.7 1区 生物学
Biosensors and Bioelectronics Pub Date : 2025-05-03 DOI: 10.1016/j.bios.2025.117541
Weijuan Jia , Bin Zhu , Dongquan Xiang , Bo Zhang , Zhan Qu , Zhibing Hua , Lei Xiong , Yazhong Bu , Baoji Du , Jinpeng Jia
{"title":"Peroxidase nanozyme-incorporated sponge: A smartphone-enabled dual-mode visual sensing platform for trace uric acid detection via a shape-memory effect-driven signal amplification strategy","authors":"Weijuan Jia ,&nbsp;Bin Zhu ,&nbsp;Dongquan Xiang ,&nbsp;Bo Zhang ,&nbsp;Zhan Qu ,&nbsp;Zhibing Hua ,&nbsp;Lei Xiong ,&nbsp;Yazhong Bu ,&nbsp;Baoji Du ,&nbsp;Jinpeng Jia","doi":"10.1016/j.bios.2025.117541","DOIUrl":"10.1016/j.bios.2025.117541","url":null,"abstract":"<div><div>Uric acid (UA) is an important biomolecule in human body fluids and serves as a diagnostic indicator for diseases. However, accurately quantifying UA samples with concentrations below the minimum linear range has been a persistent challenge in previous studies. In this study, a hydrophilic shape-memory sponge integrated with peroxidase (POD)-nanozyme was prepared to overcome this limitation. Following UA catalysis by uricase, the nanozyme-incorporated sponge decomposes hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) through its POD-like activity, oxidizing colorless o-phenylenediamine (OPD) to yellow 2,3-diaminophenazine (DAP) and simultaneously generating blue fluorescence. Due to electrostatic interaction, the formed DAP is strongly adsorbed onto the sponge, which allows the colorimetric and fluorescence signal of DAP from the catalysis are enriched on the sponge by repeatedly adding low-concentration UA samples. When combined with smartphone-based image processing, this assay functions as a practical dual-mode sensor for real-time monitoring. Notably, based on its shape-memory effect and the adsorption of DAP, the proposed nanozyme-incorporated sponge can reduce the minimum linear range (LRmin) for UA by up to 10 times, improving the sensitivity of dual-mode sensing platform, which is beneficial to the detection of trace UA. This work provides a reliable and efficient approach for on-site UA detection and offers new insights into trace analyte detection.</div></div>","PeriodicalId":259,"journal":{"name":"Biosensors and Bioelectronics","volume":"283 ","pages":"Article 117541"},"PeriodicalIF":10.7,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143918168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
Wearable device for in-situ plant sap analysis: Electrochemical lateral flow (eLF) for stress monitoring in living plants 用于原位植物汁液分析的可穿戴设备:用于活植物应力监测的电化学横向流动(eLF)
IF 10.7 1区 生物学
Biosensors and Bioelectronics Pub Date : 2025-05-03 DOI: 10.1016/j.bios.2025.117550
Beatriz Lucas Garrote , Marta Vegas-García , Ellinor Hedberg , Federico Ribet , Niclas Roxhed , Laura García-Carmona , Alfredo Quijano-López , Marta García-Pellicer
{"title":"Wearable device for in-situ plant sap analysis: Electrochemical lateral flow (eLF) for stress monitoring in living plants","authors":"Beatriz Lucas Garrote ,&nbsp;Marta Vegas-García ,&nbsp;Ellinor Hedberg ,&nbsp;Federico Ribet ,&nbsp;Niclas Roxhed ,&nbsp;Laura García-Carmona ,&nbsp;Alfredo Quijano-López ,&nbsp;Marta García-Pellicer","doi":"10.1016/j.bios.2025.117550","DOIUrl":"10.1016/j.bios.2025.117550","url":null,"abstract":"<div><div>Smart agriculture and environmental monitoring claim innovative wearable sensing technologies suitable for real-time, <em>in-situ</em> biochemical analysis for non-specialized users in plants. Current strategies measure physical parameters, ions or hormones by amperometry or potentiometry. Among these, plant hormones serve as stress biomarkers due to their role in stress response mechanisms. While electrocatalysis has been explored for their detection, early-stage stress monitoring at low concentrations demands higher selectivity and specificity. Therefore, new strategies integrating biorecognition elements, such as antibodies, with autonomous sample collection and bioassay performance are required. In this regard, this work proposes a novel wearable immunosensor device based on an electrochemical lateral flow assay (eLF) that includes an autonomous microsampling technology for minimally invasive <em>in-situ</em> sap extraction and abscisic acid (ABA) detection. This sap device collects, processes and analyzes plant sap with low sample volume (&lt;10 μL) and short assay time (9min) using immunosensing for the first time in ABA wearable detection. Validation in drought-stressed cucumber plants demonstrated 78 % sensitivity and 71 % specificity in detecting subtle water stress with 77 % accuracy. These findings highlight the potential of this plant-wearable biosensor for early stress detection and its versatility to be adapted for the detection of other relevant molecules (proteins or DNA), key for smart agriculture and environmental monitoring.</div></div>","PeriodicalId":259,"journal":{"name":"Biosensors and Bioelectronics","volume":"283 ","pages":"Article 117550"},"PeriodicalIF":10.7,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143907947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
Histidine-engineered Cu-BTC nanozyme with enhanced laccase-like activity combining the machine learning for precise recognition of Beta-lactam antibiotics 组氨酸工程Cu-BTC纳米酶具有增强的漆酶样活性,结合机器学习精确识别β -内酰胺类抗生素
IF 10.7 1区 生物学
Biosensors and Bioelectronics Pub Date : 2025-05-03 DOI: 10.1016/j.bios.2025.117533
Jiahao Xu, Zemin Ren, Yu Wang, Fufeng Liu, Wenjie Jing
{"title":"Histidine-engineered Cu-BTC nanozyme with enhanced laccase-like activity combining the machine learning for precise recognition of Beta-lactam antibiotics","authors":"Jiahao Xu,&nbsp;Zemin Ren,&nbsp;Yu Wang,&nbsp;Fufeng Liu,&nbsp;Wenjie Jing","doi":"10.1016/j.bios.2025.117533","DOIUrl":"10.1016/j.bios.2025.117533","url":null,"abstract":"<div><div>Although nanozyme sensor arrays can simultaneously recognize multiple target substances, they are currently rarely used for identifying Beta-lactam antibiotics (BLs). This may be due to the lower catalytic performance of some nanozymes in practical applications, which further limits the detection performance of nanozyme sensor arrays. Therefore, developing highly active nanozymes is particularly important. Here, we introduced histidine during the preparation of Cu-1,3,5-benzenetricarboxylic acid (Cu-BTC) to obtain Cu-BTC@His nanozymes with high laccase-like (LAC) catalytic activity. Due to the unique physicochemical properties of BLs, they can inhibit the LAC activity of Cu-BTC@His, and the degree of inhibition increases with the increase of reaction time. A three-channel nanozyme sensor array was constructed based on reaction kinetics and applied to the discrimination of nine BLs. In addition, by optimizing multiple machine learning (ML) algorithms, the accuracy of the neglected concentration detection model constructed based on this array has been improved from 31.27 % to 95.92 %, which is beneficial for identifying unknown samples in real samples. This work is not only of great significance for improving the identification of BLs in complex samples, but also provides some reference and guidance for the design of highly active laccase-like nanozymes in the future.</div></div>","PeriodicalId":259,"journal":{"name":"Biosensors and Bioelectronics","volume":"283 ","pages":"Article 117533"},"PeriodicalIF":10.7,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143902375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
Development of an activity-based ratiometric electrochemical substrate for measuring circulating dipeptidyl peptidase-IV/CD26 in whole blood samples 一种测定全血循环二肽基肽酶iv /CD26活性的比例电化学底物的研制
IF 10.7 1区 生物学
Biosensors and Bioelectronics Pub Date : 2025-05-02 DOI: 10.1016/j.bios.2025.117538
Namasivayam Kumaragurubaran , Hou Po Yun , Antanas Zinovicius , Sheng-Tung Huang , Ponnusamy Arul , Hsin-Yi Lin , Ou Min-Shin , Inga Morkvenaite-Vilkonciene
{"title":"Development of an activity-based ratiometric electrochemical substrate for measuring circulating dipeptidyl peptidase-IV/CD26 in whole blood samples","authors":"Namasivayam Kumaragurubaran ,&nbsp;Hou Po Yun ,&nbsp;Antanas Zinovicius ,&nbsp;Sheng-Tung Huang ,&nbsp;Ponnusamy Arul ,&nbsp;Hsin-Yi Lin ,&nbsp;Ou Min-Shin ,&nbsp;Inga Morkvenaite-Vilkonciene","doi":"10.1016/j.bios.2025.117538","DOIUrl":"10.1016/j.bios.2025.117538","url":null,"abstract":"<div><div>Dipeptidyl peptidase-IV (DPP-IV) is a circulating blood biomarker that diagnose pancreatic and thyroid cancers, as well as type 2 diabetes. Although current DPP-IV detection methods show promise, real-time detection in whole blood is limited, as blood samples require tedious pre-treatment. To overcome these limitations, a DPP-IV targeted electrochemical substrate, DPPLPOH (DiPeptidyl Peptidase Latent Probe-OH (with Hydroxyl group)), was designed. When coupled with an electrochemical analytical method, this substrate enabled direct and convenient detection of DPP-IV in complex biofluids, including whole blood samples. In these assays, DPP-IV selectively hydrolyzed DPPLPOH, which underwent a self-immolative reaction to generate a masked electrochemically sensitive amino ferrocene reporter (AFOH). This electrochemical analytical tool demonstrated excellent sensing performance, characterized by exceptional enzyme binding properties. DPPLPOH showed excellent sensitivity and selectivity, with a detection limit of 0.021 ng/mL and a broad linear detection range of 0.1–100 ng/mL. The probe was specific to DPP-IV without interference from other electroactive species, enzymes, or hydrolases. Furthermore, DPPLPOH enabled real-time monitoring of DPP-IV activity on tumor cell surfaces and direct tracking of DPP-IV concentration in whole blood without a tedious separation process. This method may be a valuable tool in the early detection of pancreatic and thyroid cancers and in post-treatment surveillance.</div></div>","PeriodicalId":259,"journal":{"name":"Biosensors and Bioelectronics","volume":"283 ","pages":"Article 117538"},"PeriodicalIF":10.7,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143911647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
Deep learning-assisted 10-μL single droplet-based viscometry for human aqueous humor 深度学习辅助的10 μ l单液滴人体体液黏度测定
IF 10.7 1区 生物学
Biosensors and Bioelectronics Pub Date : 2025-05-02 DOI: 10.1016/j.bios.2025.117530
Hyunsung Park , Junhong Park , Dongwon Kim , Dongeun Kim , Wonho Jhe , Jong Chul Han , Manhee Lee
{"title":"Deep learning-assisted 10-μL single droplet-based viscometry for human aqueous humor","authors":"Hyunsung Park ,&nbsp;Junhong Park ,&nbsp;Dongwon Kim ,&nbsp;Dongeun Kim ,&nbsp;Wonho Jhe ,&nbsp;Jong Chul Han ,&nbsp;Manhee Lee","doi":"10.1016/j.bios.2025.117530","DOIUrl":"10.1016/j.bios.2025.117530","url":null,"abstract":"<div><div>Probing the viscosity of human aqueous humor is crucial for optimizing micro-tube shunts in glaucoma treatment. However, conventional viscometers are not suitable for aqueous humor due to the limited sample volume—only tens of microliters—that can be safely extracted without causing permanent ocular damage. Here, we present an artificial intelligence-assisted microfluidic viscometry for measuring 10-μL aqueous humor collected at the point of care. Our approach involves injecting a single droplet of the sample into a microfluidic chip using hydrostatic pressure, minimizing interfacial effects with surfactants and hydrophobic coatings, and analyzing the sample flow using a deep learning-based detection scheme. For the first time, we have measured the viscosity of a 10-μL human aqueous humor and observed approximately 30 % variation between individuals. These individual differences in aqueous humor viscosity should be considered when designing microtube shunts for glaucoma treatment. Our method paves the way for the viscometry of small-volume biofluids, enabling new diagnostic and therapeutic applications in biomedical technology.</div></div>","PeriodicalId":259,"journal":{"name":"Biosensors and Bioelectronics","volume":"284 ","pages":"Article 117530"},"PeriodicalIF":10.7,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143937276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
An integrated wearable fluorescence sensor for E. coli detection in catheter bags 一种用于导管袋中大肠杆菌检测的集成可穿戴荧光传感器
IF 10.7 1区 生物学
Biosensors and Bioelectronics Pub Date : 2025-05-02 DOI: 10.1016/j.bios.2025.117539
Weiming Xu , Majed Althumayri , Azra Yaprak Tarman , Hatice Ceylan Koydemir
{"title":"An integrated wearable fluorescence sensor for E. coli detection in catheter bags","authors":"Weiming Xu ,&nbsp;Majed Althumayri ,&nbsp;Azra Yaprak Tarman ,&nbsp;Hatice Ceylan Koydemir","doi":"10.1016/j.bios.2025.117539","DOIUrl":"10.1016/j.bios.2025.117539","url":null,"abstract":"<div><div>Urinary tract infections (UTIs), including catheter-associated UTIs (CAUTIs), affect millions worldwide. Traditional diagnostic methods, like urinalysis and urine culture, have limitations—urinalysis is fast but lacks sensitivity, while urine culture is accurate but takes up to two days. Here, we present an integrated wearable fluorescence sensor to detect UTI-related bacterial infections early at the point of care by on-body monitoring. The sensor features a hardware platform with a flexible PCB that attaches to a urine catheter bag, emitting excitation light and detecting emission light of <em>E. coli-</em>specific enzymatic reaction for continuous monitoring. Our custom-developed smartphone application allows remote control and data transfer via Bluetooth and performs in situ data analysis without cloud computing. The performance of the device was demonstrated by detecting <em>E. coli</em> at concentrations of 10<sup>0</sup>–10<sup>5</sup> CFU/mL within 9 to 3.5 h, respectively, with high sensitivity and by testing the specificity using Gram-positive (i.e., <em>Staphylococcus epidermidis</em>) and Gram-negative (i.e., <em>Pseudomonas aeruginosa</em> and <em>Klebsiella pneumoniae</em>) pathogens. An <em>in vitro</em> bladder model testing was performed using <em>E.coli</em>-spiked human urine samples to further evaluate the device's practicality. This portable, cost-effective device has the potential to transform the clinical practice of UTI diagnosis with automated and rapid bacterial detection at the point of care.</div></div>","PeriodicalId":259,"journal":{"name":"Biosensors and Bioelectronics","volume":"283 ","pages":"Article 117539"},"PeriodicalIF":10.7,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143902374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 base-stacking-driven ratiometric electrochemical biosensor using dsDNA-mediated MB-and-cholesterol co-immobilization: A model of hydrophobic versatile platform for biosensing 使用ddna介导的mb和胆固醇共固定的碱基堆叠驱动的比例电化学生物传感器:生物传感的疏水通用平台模型
IF 10.7 1区 生物学
Biosensors and Bioelectronics Pub Date : 2025-05-02 DOI: 10.1016/j.bios.2025.117540
Lilan Xu , Guanyu Chen , Jiayan Wu , Mingzhu Chen , Wenlu Wang , Zhuhua Chen , Lifang Lin , Weiming Sun , Xu Yao , Jianzhong Zhang , Jinghua Chen , Xi Zhang
{"title":"A base-stacking-driven ratiometric electrochemical biosensor using dsDNA-mediated MB-and-cholesterol co-immobilization: A model of hydrophobic versatile platform for biosensing","authors":"Lilan Xu ,&nbsp;Guanyu Chen ,&nbsp;Jiayan Wu ,&nbsp;Mingzhu Chen ,&nbsp;Wenlu Wang ,&nbsp;Zhuhua Chen ,&nbsp;Lifang Lin ,&nbsp;Weiming Sun ,&nbsp;Xu Yao ,&nbsp;Jianzhong Zhang ,&nbsp;Jinghua Chen ,&nbsp;Xi Zhang","doi":"10.1016/j.bios.2025.117540","DOIUrl":"10.1016/j.bios.2025.117540","url":null,"abstract":"<div><div>It remains a huge challenge to integrate the stability, reproducibility, and sensitivity of electrochemical DNA biosensors (E-sensors) for practical applications in a simplistic yet cost-effective way. In this work, we present a versatile and inclusive hexanethiol self-assembled monolayer (HT SAM) platform that strategically recruits cholesterol and methylene blue (MB) through double-stranded DNA (dsDNA) coordination, incorporating immobilization and reference functionalities onto the HT SAM. Systematically augmented anchoring sites substantially enhanced interfacial DNA probe immobilization stability and efficiency. Additionally, co-immobilized MB functions as an intrinsic reference signal, effectively mitigating the precision limitations arising from reproducibility issues inherent in conventional E-sensors. The upright dsDNA and the coaxial base-stacking promote the target-probe interactions and improve both hybridization efficiency and rate for the interface DNA probes. The tightly packed hydrophobic HT SAM facilitates [Fe(CN)<sub>6</sub>]<sup>3‒</sup>-mediated cascade electrocatalytic amplification, further increasing E-sensor sensitivity. As a proof-of-concept, the designed base-stacking-driven ratiometric E-sensor using dsDNA-mediated MB-and-cholesterol co-immobilization successfully detected severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) N gene-related fragments, demonstrates a wide dynamic range (10 fM to 10 nM) with a low detection limit of 1.32 fM, exhibiting excellent reproducibility and selectivity. With its high detection performance, ease of operation and low cost, this E-sensor is well-suited for point-of-care testing in large-scale disease screening. Above all, the hydrophobic HT SAM as a versatile and inclusive platform combined with the ease of modification of DNA structures to recruit functional molecules and maximize their contributions is key to synergistically enhancing the overall performance of E-sensors.</div></div>","PeriodicalId":259,"journal":{"name":"Biosensors and Bioelectronics","volume":"284 ","pages":"Article 117540"},"PeriodicalIF":10.7,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143928891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
From leaf to lab-on-cloth: Spatial DNA nanorobotics and 2D graphyne synergy enable ultra-precise electrochemical tracking of sugarcane pokkah boeng disease 从叶片到实验室-布料:空间DNA纳米机器人和二维石墨烯协同作用使甘蔗麻花病的超精确电化学跟踪成为可能
IF 10.7 1区 生物学
Biosensors and Bioelectronics Pub Date : 2025-05-02 DOI: 10.1016/j.bios.2025.117548
Qingnian Wu , Yu Ya , Chenchen Jin , Yinxia Zhao , Feiyan Yan , Defen Feng , Ke-Jing Huang , Shengyu Xie , Xuecai Tan
{"title":"From leaf to lab-on-cloth: Spatial DNA nanorobotics and 2D graphyne synergy enable ultra-precise electrochemical tracking of sugarcane pokkah boeng disease","authors":"Qingnian Wu ,&nbsp;Yu Ya ,&nbsp;Chenchen Jin ,&nbsp;Yinxia Zhao ,&nbsp;Feiyan Yan ,&nbsp;Defen Feng ,&nbsp;Ke-Jing Huang ,&nbsp;Shengyu Xie ,&nbsp;Xuecai Tan","doi":"10.1016/j.bios.2025.117548","DOIUrl":"10.1016/j.bios.2025.117548","url":null,"abstract":"<div><div>As a vital cash crop and bioenergy feedstock, sugarcane plays a pivotal role in global agriculture and renewable energy systems. The emergence of pokkah boeng disease has become a critical threat to sugarcane productivity. Current diagnostic methods face challenges in field-applicable early detection due to time-consuming procedures and insufficient sensitivity. This study pioneers a “Lab-on-Cloth” electrochemical biosensor that synergizes DNA nanorobotics with 2D graphyne for ultra-precise detecting of pathogen. The biosensor integrates three synergistic innovation mechanisms: a spatially confined DNA Walker system enabling programmable strand displacement cascades upon target recognition, sulfur-doped graphyne (S-GDY) nanoarrays providing enhanced electron transfer efficiency and catalytic current density, and a dual-signal readout strategy for self-verifying detection accuracy. The biosensor fabrication involves in fixing of AuNPs/S-GDY heterostructures on flexible carbon cloth, creating a hierarchical 3D conductive network. Upon pathogen DNA binding, the DNA Walker initiates dual strand displacement amplification cycles, generating distinct current responses through potential-resolved signal decoupling. This dual-signal readout achieves an ultra-low limit of detection (16.6 aM, S/N = <em>3</em>) with a dynamic range spanning six orders of magnitude (0.1 fM-10 nM), outperforming conventional qPCR in field tests. This spatial DNA nanorobotics-graphyne synergy establishes a new paradigm for plant disease monitoring, providing real-time phyto-diagnostic capabilities. The technology's cost-effectiveness and operational simplicity position it as a transformative tool for precision agriculture and sustainable bioenergy production.</div></div>","PeriodicalId":259,"journal":{"name":"Biosensors and Bioelectronics","volume":"283 ","pages":"Article 117548"},"PeriodicalIF":10.7,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143911649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
Advances in biosensors for diagnosis of Alzheimer's and Parkinson's diseases 阿尔茨海默病和帕金森病的生物传感器诊断研究进展
IF 10.7 1区 生物学
Biosensors and Bioelectronics Pub Date : 2025-05-02 DOI: 10.1016/j.bios.2025.117535
Masoud Negahdary , Indherjith Sakthinathan , Ensiyeh Mirsadoughi , Frances S. Ligler , Gerard L. Coté , Robert J. Forster , Samuel Mabbott
{"title":"Advances in biosensors for diagnosis of Alzheimer's and Parkinson's diseases","authors":"Masoud Negahdary ,&nbsp;Indherjith Sakthinathan ,&nbsp;Ensiyeh Mirsadoughi ,&nbsp;Frances S. Ligler ,&nbsp;Gerard L. Coté ,&nbsp;Robert J. Forster ,&nbsp;Samuel Mabbott","doi":"10.1016/j.bios.2025.117535","DOIUrl":"10.1016/j.bios.2025.117535","url":null,"abstract":"<div><div>Early diagnosis by detecting ultralow concentrations of disease biomarkers is critical for timely treatment of the two most common neurodegenerative diseases, Alzheimer's and Parkinson's diseases. Innovative biosensors technologies can provide accurate, faster, and cheaper diagnostic pathways. In this review, the most recent electrochemical and optical sensing and biosensing platforms for diagnosing these diseases are critically selected and reviewed. Diagnostic targets (generally biomarkers) related to each disease and novel technologies, such as nanomaterials and biomolecular techniques to optimize the detection process and enhance signals, are discussed. In particular, multiplex detection and detection of multiple analytes by a (bio) sensing platform, to improve clinical sensitivity and selectivity are considered. This review is intended to open new approaches in the field and advance future research by identifying those strategies that optimize real-world performance and minimize present shortcomings.</div></div>","PeriodicalId":259,"journal":{"name":"Biosensors and Bioelectronics","volume":"284 ","pages":"Article 117535"},"PeriodicalIF":10.7,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143928358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
Catalytic hairpin assembly-powered nanozyme-SERS dual-function sensing system for ultrasensitive detection of gastric precancerous lesions 催化发夹组装驱动的纳米酶- sers双功能传感系统用于胃癌前病变的超灵敏检测
IF 10.7 1区 生物学
Biosensors and Bioelectronics Pub Date : 2025-05-01 DOI: 10.1016/j.bios.2025.117536
Yanwen Zhuang , Hongjun Yin , Yong Huang , Fengjuan Jiang , Limao Li , Zheng Wu , Yan Yang , Xiaowei Cao , Wei Wei
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