IF 8.9 1区化学

ACS Sensors Pub Date : 2025-09-14 DOI: 10.1021/acssensors.5c02344

Lara Troncoso-Afonso,Paula Vázquez-Aristizabal,Gail A Vinnacombe-Willson,Yolany M Henríquez-Banegas,Patricia González-Callejo,Pablo S Valera,Malou Henriksen-Lacey,Clara García-Astrain,Luis M Liz-Marzán

{"title":"dECM-Supported Printing of Plasmonic Pillars for SERS Monitoring of Chemotherapy in 3D Tumor Models.","authors":"Lara Troncoso-Afonso,Paula Vázquez-Aristizabal,Gail A Vinnacombe-Willson,Yolany M Henríquez-Banegas,Patricia González-Callejo,Pablo S Valera,Malou Henriksen-Lacey,Clara García-Astrain,Luis M Liz-Marzán","doi":"10.1021/acssensors.5c02344","DOIUrl":"https://doi.org/10.1021/acssensors.5c02344","url":null,"abstract":"The development of antitumoral drugs is limited by the absence of in vitro platforms that simultaneously offer biological relevance, spatial complexity and analytical sensitivity to evaluate cellular responses. To overcome these challenges, we propose the integration of surface-enhanced Raman scattering (SERS) sensors into three-dimensional (3D) tumor models. We therefore engineered the incorporation of 3D printed SERS-active hydrogel pillars within a bioprinted breast cancer model featuring distinct tumor and stromal compartments. The model is manufactured using a breast-derived decellularized extracellular matrix bioink, loaded with tumoral and stromal cells, which supports cellular growth and provides the mechanical integrity required to preserve the core/shell organization of the tumor-stroma architecture. In parallel, the sensors are produced from a plasmonic hydrogel ink composed of thiolated alginate and methacrylated carboxymethyl cellulose, which can be chemically photo-cross-linked via thiol-ene click chemistry and loaded with plasmonic gold nanorods. This complex ink shows suitable rheological and mechanical properties for the direct 3D printing of pillar-shaped SERS sensors directly within the tumor-stroma model. These SERS-active pillars enabled the detection of the anti-cancer drug 6-thioguanine (6-TG) in the different compartments of the model, revealing asymmetric consumption of 6-TG by tumoral and stromal cells. These differences are proposed to correlate with a higher cytotoxic response in the tumor core. Therefore, our platform allows for real-time tracking of drug dynamics in a tissue-like environment, thereby offering a versatile tool for therapeutic screening.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"53 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145056641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effect of Interface between Oxides and Noble Metal on Gas-Sensing Reactions. 氧化物与贵金属界面对气敏反应的影响。

IF 8.9 1区化学

ACS Sensors Pub Date : 2025-09-13 DOI: 10.1021/acssensors.5c01457

Tianrun Zheng,Yi Lu,Yilin Wang,Hong Zhou,Kang Yang,Mingxue Zhang,Yueying Liu,Fengmin Liu,Geyu Lu

{"title":"Effect of Interface between Oxides and Noble Metal on Gas-Sensing Reactions.","authors":"Tianrun Zheng,Yi Lu,Yilin Wang,Hong Zhou,Kang Yang,Mingxue Zhang,Yueying Liu,Fengmin Liu,Geyu Lu","doi":"10.1021/acssensors.5c01457","DOIUrl":"https://doi.org/10.1021/acssensors.5c01457","url":null,"abstract":"Loading noble metals is an effective way of enhancing the gas-sensing performance of metal oxide semiconductor (MOS) materials. Although the catalytic sites of noble metals can promote the sensing reaction of gas molecules, the mechanism of how noble metals influence the MOS resistance remains unclear. Herein, SnO2 was combined with Pd metallene to construct a nanocomposite as a model material for investigating the gas-sensing mechanism at the interface between oxides and noble metals. Due to the large lateral scale, unique electron transfer capabilities and excellent catalytic properties, Pd metallene was used as a substitute for noble metal particles. Characterization and theoretical analysis revealed the strong metal-support interactions (SMSI) between Pd metallene and SnO2. Density functional theory (DFT) calculations and experimental results indicated that Pd metallene exhibits high adsorption and electron transfer capabilities for the ethanol molecule. SMSI played a crucial role in the electron transfer at the Pd metallene-SnO2 interface during the gas-sensing reaction, thereby promoting changes in the resistance of SnO2. This work demonstrates the potential of Pd metallene and provides new insights into the gas-sensing reaction of MOS loaded with noble metals.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"170 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145043839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

CRISPR/Cas12-Driven Exponential Amplification Combined with a Lateral Flow Biosensor Enabling Rapid and Highly Sensitive DNA Detection. CRISPR/ cas12驱动的指数扩增与横向流动生物传感器相结合，实现快速和高灵敏度的DNA检测。

IF 8.9 1区化学

ACS Sensors Pub Date : 2025-09-12 DOI: 10.1021/acssensors.5c00944

Mengqi Huang,Kunte Shang,Luyi Ying,Yuqi Han,Ningxi Hong,Yu-Feng Yao

{"title":"CRISPR/Cas12-Driven Exponential Amplification Combined with a Lateral Flow Biosensor Enabling Rapid and Highly Sensitive DNA Detection.","authors":"Mengqi Huang,Kunte Shang,Luyi Ying,Yuqi Han,Ningxi Hong,Yu-Feng Yao","doi":"10.1021/acssensors.5c00944","DOIUrl":"https://doi.org/10.1021/acssensors.5c00944","url":null,"abstract":"Rapid and precise detection of specific DNA is valuable for biological research and clinical disease diagnosis. Clustered regularly interspaced short palindromic repeat (CRISPR) technology can enhance existing DNA testing, making DNA detection faster, more portable, and more accurate. This study presents a new Cas12-driven exponential amplification-based lateral flow biosensor (CADEX-LF) for rapid and highly sensitive DNA detection. CADEX-LF takes full advantage of the highly specific target-loading-dependent trans-cleavage activity of Cas12 and the extremely high efficiency of nicking endonuclease-mediated exponential amplification. The adoption of lateral flow readout enables CADEX-LF for point-of-care (POC) use without requiring complicated supplementary equipment. CADEX-LF was shown to achieve a detection sensitivity of 2 × 10-15 M within 45 min of measurement time and displayed outstanding specificity with double-base resolution. Furthermore, CADEX-LF could identify herpes simplex virus 1 (HSV-1) DNA in tears of rabbits and clinical patients with HSV-1 keratitis, exhibiting its practical application potential in clinical diagnosis. The proposed CADEX-LF biosensor may have great promise for point-of-care disease diagnosis in resource-limited environments.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"73 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145036043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","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 2D Transition Metal Dichalcogenide-Based Gas Sensors. 二维过渡金属二氯化物气体传感器的研究进展。

IF 8.9 1区化学

ACS Sensors Pub Date : 2025-09-12 DOI: 10.1021/acssensors.5c02126

Chandan Patra,Vijay Kumar Guna,Sohini Chakraborty,Subrata Mondal,Yerumbu Nandakishora

{"title":"Advances in 2D Transition Metal Dichalcogenide-Based Gas Sensors.","authors":"Chandan Patra,Vijay Kumar Guna,Sohini Chakraborty,Subrata Mondal,Yerumbu Nandakishora","doi":"10.1021/acssensors.5c02126","DOIUrl":"https://doi.org/10.1021/acssensors.5c02126","url":null,"abstract":"Two-dimensional (2D) transition metal dichalcogenides (TMDs), such as MoS2, MoSe2, MoTe2, WS2, TaS2, and VS2 have emerged as highly promising candidates for next-generation gas sensors due to their unique electrical, chemical, and mechanical properties. Their high surface-to-volume ratio, tunable bandgaps, and ability to operate at room temperature make them particularly attractive for low-power, highly sensitive, and selective detection of toxic gases such as NO2, NH3, CO, and H2S. These characteristics are especially relevant for modern applications in flexible and wearable electronics, where sensors must be compact, efficient, and compatible with Internet of things (IoT) technologies. This review critically examines recent advancements in TMD-based gas sensors, with a focus on synthesis strategies (e.g., chemical vapor deposition, exfoliation, and hydrothermal methods), sensing mechanisms, and performance metrics including sensitivity, selectivity, and response/recovery times. Furthermore, we discuss enhancement techniques such as defect engineering, doping, heterostructuring, and surface functionalization to improve sensor performance. The review concludes with an outlook on the key challenges and future directions for integrating TMD-based sensors into scalable, energy-efficient, and commercially viable environmental monitoring systems.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"170 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145036042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Graphene Nanochannels for Label-Free Protein Detection and Protein-Protein Interaction Analysis. 石墨烯纳米通道用于无标记蛋白质检测和蛋白质-蛋白质相互作用分析。

IF 8.9 1区化学

ACS Sensors Pub Date : 2025-09-11 DOI: 10.1021/acssensors.5c02567

Yangjun Cui,Long Gao,Cuifeng Ying,Jianguo Tian,Zhibo Liu

{"title":"Graphene Nanochannels for Label-Free Protein Detection and Protein-Protein Interaction Analysis.","authors":"Yangjun Cui,Long Gao,Cuifeng Ying,Jianguo Tian,Zhibo Liu","doi":"10.1021/acssensors.5c02567","DOIUrl":"https://doi.org/10.1021/acssensors.5c02567","url":null,"abstract":"Resistive pulse sensing, utilizing the electrophoretic movement of proteins through nanopores or nanochannels, has emerged as a promising method for label-free protein detection and characterization. However, traditional solid-state materials, such as Si, SiO2, SiNx, and polydimethylsiloxane, suffer from significant limitations, including nonspecific protein interactions with solid surfaces that cause channel blockage, preventing the long-term reliability of resistive pulse sensing. In contrast, two-dimensional materials have attracted much attention due to their potential in biomolecular detection because of their ultrathin thickness, ultrahigh surface flatness, and extremely high mechanical strength. Among them, the extremely high surface flatness helps to reduce the transport resistance of biomolecules moving on its surface. Here, we demonstrate that graphene nanochannels, fabricated via layer assembly, provide exceptional properties for protein analysis, including low noise, high surface smoothness, and minimal nonspecific protein adsorption. These attributes make graphene nanochannels an ideal platform for long-term, stable protein characterization. Our findings show that these nanochannels can effectively differentiate between five distinct proteins based on resistive pulse signals. Additionally, we utilized the nanochannels to monitor the binding dynamics of immunoglobulin G (IgG) and the aggregation process of β-lactoglobulin, revealing the capability of graphene nanochannels in detecting protein-protein interactions and molecular conformational changes. This work highlights the potential of graphene nanochannels as powerful tools for label-free, highly sensitive protein identification and interaction studies, marking a significant advancement in biosensing technology in biomolecular research and diagnosis.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"86 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145036048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Mechanically Heterogeneous Architecture Enables Robust and Ultrathin Bioelectronics for High-Fidelity Biosignal Monitoring. 机械异构架构实现了高保真生物信号监测的鲁棒和超薄生物电子学。

IF 8.9 1区化学

ACS Sensors Pub Date : 2025-09-11 DOI: 10.1021/acssensors.5c02247

Xiangheng Du,Liang Wu,Rouhui Yu,Zhongyao Fan,Yaqi Chen,Tao Zhou,Zhonghua Yang,Yuan Liu,Meifang Zhu,Shaowu Pan

{"title":"Mechanically Heterogeneous Architecture Enables Robust and Ultrathin Bioelectronics for High-Fidelity Biosignal Monitoring.","authors":"Xiangheng Du,Liang Wu,Rouhui Yu,Zhongyao Fan,Yaqi Chen,Tao Zhou,Zhonghua Yang,Yuan Liu,Meifang Zhu,Shaowu Pan","doi":"10.1021/acssensors.5c02247","DOIUrl":"https://doi.org/10.1021/acssensors.5c02247","url":null,"abstract":"High-fidelity biosignal monitoring is essential for daily health tracking and the diagnosis of chronic diseases. However, developing bioelectrodes capable of withstanding repeated use and mechanical deformation on wet tissue surfaces remains a significant challenge. Here, we present a robust and ultrathin bioelectrode (RUB), featuring a mechanically heterogeneous architecture and a thickness of ∼3 μm. In this design, a hydrophobic and stretchable polymer microfiber network is embedded within the brittle poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS) matrix, significantly enhancing both mechanical integrity and electrical stability. The RUB exhibits excellent tolerance to repeated use and mechanical deformation on wet tissue surfaces, enabled by noncovalent adhesion. Significantly, the RUB retains ∼94.2% of its initial signal-to-noise ratio in electromyography monitoring after 100 reuse cycles with ethanol cleaning, showing a 4.3-fold enhancement compared to the uncleaned electrode (∼17.9% after 50 cycles). Additionally, the RUB reliably captures electrocardiogram (ECG) signal variations in response to different intensities of physical activity and isoproterenol hydrochloride treatment, offering valuable data for health analysis. Moreover, the RUB can reliably monitor high-fidelity ECG signals on tissue surfaces, even under ∼20% deformation. The ultrathin bioelectronics, enhanced by mechanically heterogeneous architecture, demonstrate strong potential for biointerface applications.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"116 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145031977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Machine Learning-Driven Cyclic Optimizing Strategy for the Construction of Paper-Based Microfluidic Devices in the Early Diagnosis of Periodontitis. 基于机器学习的纸基微流控装置构建循环优化策略在牙周炎早期诊断中的应用。

IF 8.9 1区化学

ACS Sensors Pub Date : 2025-09-11 DOI: 10.1021/acssensors.5c02031

Kangzheng Lv,Yuan Zhang,Ke Tang,Wei Huang,Feng Chen,Meihua Chen,Yan Wang,Juan Zhang

{"title":"A Machine Learning-Driven Cyclic Optimizing Strategy for the Construction of Paper-Based Microfluidic Devices in the Early Diagnosis of Periodontitis.","authors":"Kangzheng Lv,Yuan Zhang,Ke Tang,Wei Huang,Feng Chen,Meihua Chen,Yan Wang,Juan Zhang","doi":"10.1021/acssensors.5c02031","DOIUrl":"https://doi.org/10.1021/acssensors.5c02031","url":null,"abstract":"The lack of effective optimization strategies hinders the optimal performance of paper-based microfluidic analytical devices (μPADs). In this work, a Machine Learning-driven Computer vision-BP Neural Networks-Genetic Algorithm-based Cyclic Optimizing Strategy (CNGCOS) has been explored to assist in the parameter optimization and engineering of the μPADs. With dual-signal output of color intensity (CI) and colorimetric distance (CD), the optimized μPADs can serve for rapid point-of-care detection of salivary hemoglobin (Hb), an early biomarker for the diagnosis of periodontitis. Moreover, the CNGCOS-assisted μPADs demonstrates high accuracy and superior sensitivity, with an R2 value of 0.998 and a detection limit as low as 1.57 μg/mL for CI output, and an R2 value of 0.992 with a detection limit of 3 μg/mL for CD output. Furthermore, the constructed CNGCOS-assisted μPADs have been applied for the analysis of clinical saliva samples for early diagnosis of periodontitis. Successful detection in 103 clinical cases further validates the exceptional performance and accuracy of the CNGCOS-assisted μPADs. Therefore, the explored CNGCOS has great potential for the optimization of engineering devices for early diagnosis and treatment of diseases.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"33 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145036049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Leveraging Deep Learning to Address Diagnostic Challenges with Insufficient Image Data. 利用深度学习解决图像数据不足的诊断挑战。

IF 8.9 1区化学

ACS Sensors Pub Date : 2025-09-10 DOI: 10.1021/acssensors.5c01439

Jian-Ming Lu,Ping-Yeh Chiu,Chien-Fu Chen

{"title":"Leveraging Deep Learning to Address Diagnostic Challenges with Insufficient Image Data.","authors":"Jian-Ming Lu,Ping-Yeh Chiu,Chien-Fu Chen","doi":"10.1021/acssensors.5c01439","DOIUrl":"https://doi.org/10.1021/acssensors.5c01439","url":null,"abstract":"In recent AI-driven disease diagnosis, the success of models has depended mainly on extensive data sets and advanced algorithms. However, creating traditional data sets for rare or emerging diseases presents significant challenges. To address this issue, this study introduces a direct-self-attention Wasserstein generative adversarial network (DSAWGAN) designed to improve diagnostic capabilities in infectious diseases with limited data availability. DSAWGAN enhances convergence speed, stability, and image quality by integrating attention modules and leveraging the Wasserstein distance optimization. We compared DSAWGAN-generated images with traditional data augmentation and other image generation techniques, evaluating their effectiveness using classification neural networks for diagnostic accuracy. This model integration was then applied to a mobile app, enabling rapid, portable, and cost-effective diagnostic testing across various concentration ranges. Using only half of the raw data (n = 1500), DSAWGAN achieves an accuracy increase from 98.00 to 99.33%. Even with just 10% of the original data (n = 300), a neural network trained with the augmented data set maintains an accuracy of 92.67%, demonstrating the approach's effectiveness in resource-limited settings.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"16 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145032040","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Electrochemical Sensors for Rapid Cardiovascular Disease Diagnostics. 用于心血管疾病快速诊断的电化学传感器。

IF 8.9 1区化学

ACS Sensors Pub Date : 2025-09-10 DOI: 10.1021/acssensors.5c01921

Vildan Sanko,H Cumhur Tekin

{"title":"Electrochemical Sensors for Rapid Cardiovascular Disease Diagnostics.","authors":"Vildan Sanko,H Cumhur Tekin","doi":"10.1021/acssensors.5c01921","DOIUrl":"https://doi.org/10.1021/acssensors.5c01921","url":null,"abstract":"Cardiovascular diseases (CVDs) remain a leading cause of death, particularly in developing countries, where their incidence continues to rise. Traditional CVD diagnostic methods are often time-consuming and inconvenient, necessitating more efficient alternatives. Rapid and accurate measurement of cardiac biomarkers released into body fluids is critical for early detection, timely intervention, and improved patient outcomes. Electrochemical methods offer a robust solution by enabling rapid, sensitive, selective, and multiplex detection of CVD biomarkers, paving the way for early diagnosis and treatment advancements. This review highlights the performance and potential of electrochemical sensors for detecting specific CVD biomarkers and related organic molecules. It explores electrochemical sensing mechanisms, their evolution, the integration of nanotechnology, and diverse sensing platforms. It also examines emerging technologies such as microfluidic, smartphone-integrated sensors, and microneedle- and tattoo-based sensors. Challenges and opportunities in integrating electrochemical sensors into point-of-care (POC) and wearable devices are discussed. Finally, the review compares commercial CVD sensors with existing methods and outlines future directions to advance the field.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"24 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145025829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

In Vivo Electrochemical Aptasensors Reveal Reversible Dopamine Dysregulation from Adolescent Malnutrition. 体内电化学感应揭示青少年营养不良引起的可逆多巴胺失调。

IF 8.9 1区化学

ACS Sensors Pub Date : 2025-09-10 DOI: 10.1021/acssensors.5c02658

Pengwei Li,Qijia Ma,Fenghui Zhu,Kaixin Song,Yinghuan Liu,Ying Jiang,Lanqun Mao

{"title":"In Vivo Electrochemical Aptasensors Reveal Reversible Dopamine Dysregulation from Adolescent Malnutrition.","authors":"Pengwei Li,Qijia Ma,Fenghui Zhu,Kaixin Song,Yinghuan Liu,Ying Jiang,Lanqun Mao","doi":"10.1021/acssensors.5c02658","DOIUrl":"https://doi.org/10.1021/acssensors.5c02658","url":null,"abstract":"Dopamine (DA) signaling is essential for neurodevelopment and is particularly sensitive to disruption during adolescence. Protein restriction (PR) can impair DA dynamics, yet mechanistic insights remain limited due to challenges in real-time neurochemical sensing. Here, we present aptCFEDA3.0, a robust implantable aptamer-based sensor fabricated via a reagent-free, 3 min electrochemical conjugation (E-conjugation) using amine-quinone chemistry. This nanobio interface engineering strategy enables stable, hydrolysis-resistant aptamer attachment for reliable in vivo DA monitoring. AptCFEDA3.0 exhibits a 30% higher sensitivity compared with bare electrodes over 0.5-20 μM DA, maintains over 80% of its response after 24 h in bovine serum albumin (BSA), and shows high selectivity for DA. Using this platform, we show that adolescent PR reduces DA release by ∼80% in the nucleus accumbens and doubles DA reuptake time in the dorsal striatum, with minimal effects observed in adults. Nanoelectrochemical and single-cell analyses reveal increased vesicular catecholamine content and prolonged fusion pore opening during exocytosis. Notably, dietary intervention partially restores DA signaling, underscoring adolescent neural plasticity. These findings highlight the power of advanced neurochemical tools for dissecting nutrition-sensitive neurotransmission and forming strategies for neurodevelopmental disorders.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"104 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145031892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

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