ACS Sensors最新文献_第6页

Ultrasensitive and Selective Detection of Dopamine Through Substituent-Regulated Evolution of Quantum Defects. 通过取代基调控的量子缺陷进化超灵敏和选择性检测多巴胺。

IF 8.9 1区化学

ACS Sensors Pub Date : 2025-05-21 DOI: 10.1021/acssensors.5c01153

Taishan Yin,Yuqing Zhao,Jiaqi Zhang,Xian Xiao,Yue Huang,Bilian Ke,Zhongjie Huang

{"title":"Ultrasensitive and Selective Detection of Dopamine Through Substituent-Regulated Evolution of Quantum Defects.","authors":"Taishan Yin,Yuqing Zhao,Jiaqi Zhang,Xian Xiao,Yue Huang,Bilian Ke,Zhongjie Huang","doi":"10.1021/acssensors.5c01153","DOIUrl":"https://doi.org/10.1021/acssensors.5c01153","url":null,"abstract":"Accurate detection and analysis of biomolecules like dopamine (DA) are vital for monitoring human health, particularly given DA's critical roles in a lot of medical disorders such as depression, Parkinson's and Alzheimer's diseases, and myopia. DA is often found at very low concentrations within certain body fluids, making it a challenging yet essential target for detection. This study presents an innovative and ultrasensitive detection methodology based on a quantum system, characterized by its exceptional sensitivity, selectivity, and linearity. By leveraging the unique quantum defect emission from semiconducting single-walled carbon nanotubes (SWCNTs) in the near-infrared II region, our approach effectively detects DA with high sensitivity, within the physiologically relevant range of nanomolar, and a detection limit as low as 1 nM. The sensing system maintains performance in phosphate-buffered saline and human urine environments. The interaction between aryldiazonium salts and DA that generates sp3 defects on the SWCNTs surface, regulated by specific substituents on the benzene ring, dictates the sensor's performance, ensuring superior selectivity against biologically relevant molecules. These advancements hold great potential for early disease detection, prevention, and treatment, marking an important advance in the field of biomedical diagnostics and nanosensor research.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"18 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144103791","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

Nitrogen Plasma-Driven Oxygen Vacancy Modulation in Tin Dioxide Nanosheets Enables Sub-Parts-per-Billion Nitrogen Dioxide Detection at Low Operating Temperature. 二氧化锡纳米片中的氮等离子体驱动氧空位调制能够在低工作温度下检测到十亿分之一的二氧化氮。

IF 8.9 1区化学

ACS Sensors Pub Date : 2025-05-21 DOI: 10.1021/acssensors.5c00298

Yaozong Zhai,Rui Yang,Jian Wu,Jingzhu Li,Kuimu Xiang,Nantao Hu,Min Zeng,Jianhua Yang,Zhi Yang

{"title":"Nitrogen Plasma-Driven Oxygen Vacancy Modulation in Tin Dioxide Nanosheets Enables Sub-Parts-per-Billion Nitrogen Dioxide Detection at Low Operating Temperature.","authors":"Yaozong Zhai,Rui Yang,Jian Wu,Jingzhu Li,Kuimu Xiang,Nantao Hu,Min Zeng,Jianhua Yang,Zhi Yang","doi":"10.1021/acssensors.5c00298","DOIUrl":"https://doi.org/10.1021/acssensors.5c00298","url":null,"abstract":"Metal oxide semiconductor (MOS) materials have been widely used in gas sensing. However, they generally face challenges such as high operating temperatures and limited sensitivity/selectivity, which hinder their applications in areas like medical diagnosis based on human exhaled breath and ultralow concentration gas detection in harsh environments. Developing general strategies to enhance the sensing performance of MOS materials is both challenging and highly desired. Herein, we demonstrate nitrogen plasma-driven oxygen vacancy modulation in tin dioxide nanosheets (SnO2 NSs) that enables sub-parts-per-billion-level nitrogen dioxide (NO2) detection at low temperatures. SnO2 NSs, oriented predominantly along the (110) crystal facet, are synthesized using graphene oxide templates and treated with nitrogen plasma, which can generate abundant oxygen vacancies. The oxygen vacancy-rich SnO2 NSs exhibit exceptional NO2 sensing performance, with a theoretical detection limit of 0.154 ppb and a response that is 3.4 times higher than that of the untreated SnO2 NSs at 80 °C. Mechanism studies reveal that the improved sensitivity is attributed to the large surface area, favorable crystal orientation, and oxygen vacancies introduced by nitrogen plasma treatment. This work not only provides a promising strategy for modulating the oxygen vacancies in MOS materials, but also offers valuable insights for the development of high-performance MOS-based gas sensors.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"27 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144103792","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

Increasing the Surface Activity of 2D Ultrathin Co3O4 by Indium Doping for TEA Sensing. 铟掺杂提高二维超薄Co3O4表面活性的TEA传感。

IF 8.9 1区化学

ACS Sensors Pub Date : 2025-05-21 DOI: 10.1021/acssensors.5c00238

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

引用次数: 0

Predictive Analysis of Dental Caries Risk via Rapid Urease Activity Evaluation in Saliva Using a ZIF-8 Nanoporous Membrane. 利用ZIF-8纳米孔膜快速评估唾液脲酶活性预测龋齿风险

IF 8.9 1区化学

ACS Sensors Pub Date : 2025-05-21 DOI: 10.1021/acssensors.4c03091

Bao-Yi Zhou,Xiao-Yan Shi,Zhao-Ying Luo,Zhong-Qin Pan,Hai-Ying Gu,Yang Liu,Xin-He Shi,Zeng-Qiang Wu

{"title":"Predictive Analysis of Dental Caries Risk via Rapid Urease Activity Evaluation in Saliva Using a ZIF-8 Nanoporous Membrane.","authors":"Bao-Yi Zhou,Xiao-Yan Shi,Zhao-Ying Luo,Zhong-Qin Pan,Hai-Ying Gu,Yang Liu,Xin-He Shi,Zeng-Qiang Wu","doi":"10.1021/acssensors.4c03091","DOIUrl":"https://doi.org/10.1021/acssensors.4c03091","url":null,"abstract":"Despite a decrease in the incidence of dental caries over the past four decades, it remains a widespread public health concern. The multifactorial etiology of dental caries complicates effective prevention and early intervention efforts, underscoring the need for the development of rapid predictive methods that account for multiple factors. In this study, we selected the activity of urease secreted by Streptococcus salivarius as a metabolic marker for dental caries. This activity was quantified by measuring the diffusion of hydroxide ions generated from the urease catalytic reaction on urea across a ZIF-8-modified nanoporous membrane. The choice of ZIF-8 was based on its preference in transporting hydroxide ions, enabling the accurate detection of urease activity at concentrations as low as 1 CFU/mL. Subsequently, we collected 287 saliva samples to determine the Michaelis constant (Km) of urease using this method. Logistic regression analysis revealed that both the Km of urease and the frequency of sugar intake are significant factors influencing the development of dental caries. Furthermore, we developed a machine learning methodology for identifying dental caries, achieving an accuracy rate of 81%. It is expected that increasing the sample size will further enhance the predictive accuracy of the model. This innovative approach provides valuable insights into early intervention strategies in the fight against dental caries.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"18 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144103790","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

Signal Enhancement in Immunoassays via Coupling to Catalytic Nanoparticles. 催化纳米颗粒偶联免疫分析中的信号增强。

IF 8.9 1区化学

ACS Sensors Pub Date : 2025-05-20 DOI: 10.1021/acssensors.5c00995

Christy J Sadler,Jan P Sandler,André Shamsabadi,Leah C Frenette,Adam Creamer,Molly M Stevens

{"title":"Signal Enhancement in Immunoassays via Coupling to Catalytic Nanoparticles.","authors":"Christy J Sadler,Jan P Sandler,André Shamsabadi,Leah C Frenette,Adam Creamer,Molly M Stevens","doi":"10.1021/acssensors.5c00995","DOIUrl":"https://doi.org/10.1021/acssensors.5c00995","url":null,"abstract":"Early diagnosis is vital for effective disease management, selection of appropriate treatment regimes, and surveillance and control of disease transmission. There is a growing need for point-of-need diagnostic platforms, such as lateral flow immunoassays (LFIAs), to reduce healthcare burdens, particularly in low-resource settings. However, LFIAs often suffer from inadequate sensitivity and exhibit limited dynamic ranges, leading to late-stage diagnosis or misdiagnosis. Here, we present a signal enhancement platform for use in both plate- and paper-based immunoassays, based on the formation of a coupled nanoparticle network. We demonstrate the coupling of an antigen-targeting detection probe with a secondary, catalytically active nanoparticle by utilizing secondary antibody interactions. Here, we show that signal enhancement is achieved through two functional mechanisms: network formation, facilitated by the secondary nanoparticle increasing the relative concentration of nanoparticles immobilized at the test zone; and the inclusion of catalytically active nanoparticles, which catalyze the oxidation of a chromogenic substrate at the test zone. Through this approach, we yielded a 40-fold improvement in the limit of detection (LOD) using 40 nm gold nanoparticle detection probes in spiked pooled human saliva. Further, the signal enhancement platform can be utilized alongside a range of detection probes, including gold nanoparticles, commonly employed for use in LFIAs. This work concludes by showcasing that the signal enhancement mechanism is compatible for use with complex sample matrices, such as human saliva.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"71 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144097822","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

Oleylamine-Functionalized Graphene Oxide in Wearable Flexible Organic Field-Effect Transistors for Ultrasensitive NH3 Detection. 用于超灵敏NH3检测的可穿戴柔性有机场效应晶体管中的油胺功能化氧化石墨烯。

IF 8.9 1区化学

ACS Sensors Pub Date : 2025-05-20 DOI: 10.1021/acssensors.5c00563

Fushuang Pang,Shanshan Cheng,Hui Yang,Wenping Hu

{"title":"Oleylamine-Functionalized Graphene Oxide in Wearable Flexible Organic Field-Effect Transistors for Ultrasensitive NH3 Detection.","authors":"Fushuang Pang,Shanshan Cheng,Hui Yang,Wenping Hu","doi":"10.1021/acssensors.5c00563","DOIUrl":"https://doi.org/10.1021/acssensors.5c00563","url":null,"abstract":"Organic field-effect transistors (OFETs) have demonstrated significant potential in wearable exhaled gas sensing due to their excellent mechanical flexibility, multiparameter measurement capabilities, and signal amplification advantages. However, combining excellent sensing performance with good mechanical robustness remains a key challenge that must be addressed in practical applications. In this study, we developed a flexible gas sensor by incorporating the elastomer styrene-ethylene-butylene-styrene to enhance the strain stability of the semiconductor layer. Additionally, the gas-sensing material oleylamine-functionalized graphene oxide was used to significantly improve the device's response to NH3. The flexible sensor exhibits excellent sensing performance with outstanding selectivity for NH3 in exhaled breath, demonstrating a high sensitivity of 67% ppm-1 and a low theoretical limit of detection of 9.19 ppb. Moreover, it can be comfortably attached to human skin and retains high strain stability, maintaining excellent sensing performance even after tensile deformation. Therefore, with its robust detection capabilities and comfortable wearable features, this OFET-based gas sensor holds great promise for the auxiliary diagnosis of early-stage kidney diseases.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"9 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144103539","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

Nanocellulose Wound Dressings with Integrated Protease Sensors for Detection of Wound Pathogens. 集成蛋白酶传感器的纳米纤维素伤口敷料用于伤口病原体检测。

IF 8.9 1区化学

ACS Sensors Pub Date : 2025-05-20 DOI: 10.1021/acssensors.4c03428

Olof Eskilson,Emanuel Wiman,Nina Reustle,Jakob Langwagen,Zeljana Sotra,Anna Svärd,Robert Selegård,Yağmur Baş,Linn Berglund,Kristiina Oksman,Torbjörn Bengtsson,Johan P E Junker,Hazem Khalaf,Daniel Aili

{"title":"Nanocellulose Wound Dressings with Integrated Protease Sensors for Detection of Wound Pathogens.","authors":"Olof Eskilson,Emanuel Wiman,Nina Reustle,Jakob Langwagen,Zeljana Sotra,Anna Svärd,Robert Selegård,Yağmur Baş,Linn Berglund,Kristiina Oksman,Torbjörn Bengtsson,Johan P E Junker,Hazem Khalaf,Daniel Aili","doi":"10.1021/acssensors.4c03428","DOIUrl":"https://doi.org/10.1021/acssensors.4c03428","url":null,"abstract":"Wound infections result in delayed healing, morbidity, and increased risks of sepsis. Early detection of wound infections can facilitate treatment and reduce the need for the excessive use of antibiotics. Proteases are normally active during the healing process but are overexpressed during infection as part of the inflammatory response. Proteases are also produced by the bacteria infecting the wounds, making proteases a highly relevant biomarker for infection monitoring. Here, we show a fluorescence turn-on sensor for real-time monitoring of protease activity in advanced nanocellulose wound dressings for rapid detection of wound pathogens. Colloidal gold nanoparticles (AuNPs) were adsorbed on bacterial cellulose (BC) nanofibrils by using a carefully optimized self-assembly process. The AuNPs could either be homogeneously incorporated in BC dressings or 3D printed in wood-derived cellulose nanofiber (CNF) dressings using a BC-AuNP ink. The BC-adsorbed AuNPs were subsequently functionalized with fluorophore-labeled protease substrates. Cleavage of the substrates by proteases produced by the wound pathogens Staphylococcus aureus and Pseudomonas aeruginosa resulted in a significant increase in fluorescence that correlated with the growth phase of the bacteria. Wound dressing with integrated sensors for the detection of proteolytic activity can enable the sensitive and rapid detection of infections, allowing for optimization of treatment and reducing the risks of complications.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"135 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144103801","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

Humidity-Tolerant ppb-level NOx Sensors Based on Ag2Te/CeO2 Nanocomposites for Smart Greenhouse Farming. 基于Ag2Te/CeO2纳米复合材料的智能温室农业耐湿ppb级NOx传感器。

IF 8.9 1区化学

ACS Sensors Pub Date : 2025-05-20 DOI: 10.1021/acssensors.5c00055

Weirong Zhou,Guoxuan Gu,Yuan Gao,Jiayin Han,Ning Yu,Chao Liao,Geyu Lu

{"title":"Humidity-Tolerant ppb-level NOx Sensors Based on Ag2Te/CeO2 Nanocomposites for Smart Greenhouse Farming.","authors":"Weirong Zhou,Guoxuan Gu,Yuan Gao,Jiayin Han,Ning Yu,Chao Liao,Geyu Lu","doi":"10.1021/acssensors.5c00055","DOIUrl":"https://doi.org/10.1021/acssensors.5c00055","url":null,"abstract":"Monitoring trace levels of nitrogen oxides (NOx) in high-humidity agricultural greenhouse environments is essential for both crop growth and workers' health. However, achieving reliable NOx detection under extreme humidity remains challenging. Herein, this work presents an ultralow-detection-limit and highly humidity-tolerant NOx sensor based on Ag2Te/CeO2 nanocomposites. To the best of our knowledge, this is the first demonstration of Ag2Te/CeO2 heterostructures for gas sensing. Among the as-prepared samples, the optimal Ag2Te/CeO2 sample, with a molar ratio of 1:2, exhibited superior response and an ultralow detection limit of 5 ppb NO2 at 65 °C. The sensor response retained over 92% of its regular response even at 99% relative humidity. Density functional theory (DFT) calculations suggest that minimal H2O adsorption on Ag2Te and strong NO2 adsorption on CeO2, along with the formation of an n-n heterojunction, synergistically enhanced performance. Moreover, the sensor was further integrated into an Internet of Plants (IoP) environmental monitoring system. This work provides a new strategy for designing humidity-tolerant NOx sensors and offers a core device for smart agriculture.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"10 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144097812","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

Machine Learning-Assisted Multicolor Fluorescence Assay for Visual Data Acquisition and Intelligent Inspection of Multiple Food Hazards Regardless of Matrix Interference. 基于机器学习的多色荧光检测技术在多种食品危害的视觉数据采集和智能检测中的应用。

IF 8.9 1区化学

ACS Sensors Pub Date : 2025-05-19 DOI: 10.1021/acssensors.5c01325

Tong Zhai,Wen-Tao Gu,Miao Yu,Yu-Di Shen,Jing-Min Liu,Shuo Wang

{"title":"Machine Learning-Assisted Multicolor Fluorescence Assay for Visual Data Acquisition and Intelligent Inspection of Multiple Food Hazards Regardless of Matrix Interference.","authors":"Tong Zhai,Wen-Tao Gu,Miao Yu,Yu-Di Shen,Jing-Min Liu,Shuo Wang","doi":"10.1021/acssensors.5c01325","DOIUrl":"https://doi.org/10.1021/acssensors.5c01325","url":null,"abstract":"Regarding the significant health risks of pesticide residue in foods, while current sensors still suffer from limited efficiency and stability, as well as difficulties in qualitative identification and quantitative detection of mixtures, development of innovative detection techniques combined with advanced methodology holds great research value. Herein, a highly efficient intelligent food risk evaluation system was proposed by integrating a multicolor fluorescent responsive assay with machine learning (ML) algorithms for the identification and quantification of multiple pesticides, carbendazim (CBZ), heptachlor (HEP), chlordimeform (CDF), and their mixtures. This method leveraged the color changes generated from the interaction between multicolor carbon dots (CDs) and target pesticide molecules. By extracting color signal feature values from these reactions and integrating the visual data acquisition with ML models, this method enables efficient qualitative identification and quantitative detection of multiple pesticides, regardless of matrix interference through a dual-source data acquisition strategy without large instruments. The developed evaluation system via a ″stepwise prediction″ strategy automatically demonstrated robust qualitative identification capability with a discrimination accuracy of 99.3% for pesticide categorization while achieving robust quantitative prediction accuracy (R2 ≥ 0.8946) for pesticide concentration detection, verified in six kinds of food matrix. This method significantly improves the detection stability and efficiency, providing a promising tool for food safety monitoring.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"9 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144087758","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/Cas on Microfluidic Paper-Based Analytical Devices for Point-of-Care Screening of Cervical Cancer. 用于宫颈癌即时筛查的微流控纸基分析设备的CRISPR/Cas

IF 8.9 1区化学

ACS Sensors Pub Date : 2025-05-19 DOI: 10.1021/acssensors.5c00863

Shixian Liu,Tian Yu,Libing Song,Kourosh Kalantar-Zadeh,Guozhen Liu

{"title":"CRISPR/Cas on Microfluidic Paper-Based Analytical Devices for Point-of-Care Screening of Cervical Cancer.","authors":"Shixian Liu,Tian Yu,Libing Song,Kourosh Kalantar-Zadeh,Guozhen Liu","doi":"10.1021/acssensors.5c00863","DOIUrl":"https://doi.org/10.1021/acssensors.5c00863","url":null,"abstract":"Highly sensitive point-of-care early screening for high-risk human papillomavirus (HPV) infections is urgently needed, particularly in resource-limited settings. Nucleic acid amplification methods, especially CRISPR/Cas-based biosensors, have emerged as promising tools for sensitive HPV detection; however, current approaches typically rely on tedious tube-based formats coupled with lateral flow assays for signal readout in point-of-care testing (POCT). Here, we developed customized microfluidic paper-based analytical devices (μPADs) with valves that seamlessly integrated recombinase polymerase amplification (RPA) with CRISPR/Cas12a biosensing (RPA-CRISPR/Cas12a) on the filter paper substrate. This innovation achieved sensitive and cost-effective high-risk HPV detection in POCT. The RPA-CRISPR/Cas12a system with a linear reporter on μPADs, enabled fluorescence detection of the E7 gene, achieving a sensitivity of 1 pM at approximately 1 h. The sensitivity was further enhanced by introducing a circular reporter into the fluorescence-based RPA-CRISPR/Cas12a system on μPADs, enabling detection of the E7 gene with a detection limit of 1 fM and an assay time of 35 min. The system was validated using 50 cervical swab clinical samples, demonstrating 95% sensitivity and 100% specificity when compared to qPCR. This sample-to-answer detection platform holds significant promise for early screening of high-risk HPV infections in point-of-care scenarios.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"41 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144087754","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