ACS Sensors最新文献_第6页

Electrode-Proximal 3D Particle Focusing via Acoustic Streaming for High-Sensitivity Sheathless Impedance Flow Cytometry. 基于声学流的高灵敏度无鞘阻抗流式细胞术电极近端三维粒子聚焦。

IF 8.9 1区化学

ACS Sensors Pub Date : 2025-10-03 DOI: 10.1021/acssensors.5c02714

Yongqi Chen,Ziyu Han,Wei Wei,Xuejiao Chen,Haoran Zhang,Yaping Wang,Xuexin Duan

{"title":"Electrode-Proximal 3D Particle Focusing via Acoustic Streaming for High-Sensitivity Sheathless Impedance Flow Cytometry.","authors":"Yongqi Chen,Ziyu Han,Wei Wei,Xuejiao Chen,Haoran Zhang,Yaping Wang,Xuexin Duan","doi":"10.1021/acssensors.5c02714","DOIUrl":"https://doi.org/10.1021/acssensors.5c02714","url":null,"abstract":"The nonuniform electric field generated by coplanar electrodes in microfluidic impedance flow cytometry (MIFC) introduces a position-dependent factor, which is a critical challenge for the sensitivity and accuracy of measured signals. To address this challenge, we put forward a novel MIFC configuration by monolithic on-chip integration of a bulk acoustic wave resonator with a pair of coplanar electrodes. This design utilizes the acoustic streaming effect to achieve three-dimensional (3D) particle focusing, enabling the particles to traverse the downstream impedance sensing region along a consistent trajectory in the electrode near-field region. This not only mitigates the position-dependent variability but also leverages the inherent electric field distribution characteristics of coplanar electrodes to enhance detection sensitivity. The experimental results demonstrated efficient focusing performance across various sample flow rates, with a coefficient of variation (C.V.) of 1.7% for 5 μm diameter particles. Furthermore, the substantial improvement in impedance measurement precision and sensitivity not only enhances the accuracy of size-based detection and discrimination at low frequencies but also supports more reliable multifrequency impedance analysis, thereby providing a more precise insight into the electrophysiology of the cell interior. In conclusion, this work presents a promising methodology for overcoming the position-dependent factor and enhancing detection sensitivity without the necessity for an additional sheath flow system or complex signal processing.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"28 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145209176","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

On the Design, Fabrication, and Operation of Electrochemical Aptamer-Based Sensors. 电化学适体传感器的设计、制造和运行研究。

IF 8.9 1区化学

ACS Sensors Pub Date : 2025-10-03 DOI: 10.1021/acssensors.4c03465

Yuyang Wu,Kevin W Plaxco

引用次数: 0

Isometrically Resolved Reflection-Mode In Vivo Photoacoustic Microscopy Enabled by an Integrated Ultrasonic-Optical Sensor. 由集成超声光学传感器实现的等距分辨反射模式体内光声显微镜。

IF 8.9 1区化学

ACS Sensors Pub Date : 2025-10-02 DOI: 10.1021/acssensors.5c02680

Fan Yang,Yong Yang,Wei Song,Xiaojing Wu,Siwei Zhu,Jun Liu,Li Zhang,Changyu Shen,Xiaocong Yuan

{"title":"Isometrically Resolved Reflection-Mode In Vivo Photoacoustic Microscopy Enabled by an Integrated Ultrasonic-Optical Sensor.","authors":"Fan Yang,Yong Yang,Wei Song,Xiaojing Wu,Siwei Zhu,Jun Liu,Li Zhang,Changyu Shen,Xiaocong Yuan","doi":"10.1021/acssensors.5c02680","DOIUrl":"https://doi.org/10.1021/acssensors.5c02680","url":null,"abstract":"Photoacoustic microscopy often faces challenges in direct measurement of broadband photoacoustic waves due to the use of narrow-bandwidth and optical opaque ultrasonic transducers, which compromises the depth localization accuracy in photoacoustic volumetric imaging. To overcome these challenges, we propose an Integrated Ultrasonic-Optical Sensor (IUOS) that seamlessly integrates excitation laser transmission and ultrasonic detection within a single device. Employing a nearly common-path Michelson interferometer configuration, the IUOS transduces photoacoustic pressure transients into time-varying polarization states of the reflected beam, achieving an impressive sensitivity of approximately 127 Pa over a broad bandwidth of 158 MHz at -6 dB. Furthermore, the sensor allows nearly lossless transmission for the excitation laser at a wavelength of 532 nm. When integrated into an optical-resolution photoacoustic microscope (OR-PAM), it allows for reflection-mode volumetric imaging with enhanced axial resolution. Notably, the sensor has successfully achieved label-free volumetric visualization of zebrafish in vivo with greatly improved depth localization accuracy, highlighting its considerable potential to advance biomedical photoacoustic research.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"10 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145203642","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

Optical Contact Lenses Biosensors 光学隐形眼镜生物传感器

IF 8.9 1区化学

ACS Sensors Pub Date : 2025-10-02 DOI: 10.1021/acssensors.5c01222

Xiaoye Xia, Yubing Hu, Nan Jiang, Ali K. Yetisen

{"title":"Optical Contact Lenses Biosensors","authors":"Xiaoye Xia, Yubing Hu, Nan Jiang, Ali K. Yetisen","doi":"10.1021/acssensors.5c01222","DOIUrl":"https://doi.org/10.1021/acssensors.5c01222","url":null,"abstract":"Tear fluid contains a diverse array of biomarkers reflective of both ocular and systemic health, making it a valuable medium for noninvasive diagnostics. Contact lens biosensors, integrated with optical sensing technologies, provide a promising platform for real-time, continuous monitoring of tear fluid composition. This review focuses on recent advances in the development of contact lens biosensors for optical detection of tear-based biomarkers. Key components include biocompatible lens materials, such as hydrogels and silicone hydrogels, that maintain oxygen permeability and optical clarity, along with fabrication methods such as inkjet printing, micropatterning, and three-dimensional (3D) microfabrication for precise sensor integration. Optical sensing mechanisms, including fluorescence, photonic crystal resonance, and surface plasmon resonance, have demonstrated high sensitivity in detecting glucose, lactate, electrolytes, cortisol, and inflammatory markers at clinically relevant concentrations. Such sensors have shown potential in diagnosing and monitoring diseases including diabetes, dry eye syndrome, stress-related disorders, and neurodegenerative conditions. Despite these advances, challenges remain in minimizing background interference, enabling long-term wear, and achieving multiplexed detection. Future research should prioritize robust biorecognition chemistries, wireless optical readouts, and scalable manufacturing strategies to support clinical translation. Contact lens biosensors are poised to become a key platform in next-generation, personalized healthcare through noninvasive tear fluid analysis.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"2 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145203980","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

Phase-Sensitive Surface Plasmon Resonance Imaging with Polarization Modulation and Stokes Vector Measurement. 相敏表面等离子体共振成像与偏振调制和斯托克斯矢量测量。

IF 8.9 1区化学

ACS Sensors Pub Date : 2025-10-02 DOI: 10.1021/acssensors.5c02048

Baiqi Cui,Xiaoyin Liu,Jinbiao Ma,Jingyu Wu,Yunxiao Wang,Haiying Ding,Di Wang,Qingjun Liu,Fenni Zhang

{"title":"Phase-Sensitive Surface Plasmon Resonance Imaging with Polarization Modulation and Stokes Vector Measurement.","authors":"Baiqi Cui,Xiaoyin Liu,Jinbiao Ma,Jingyu Wu,Yunxiao Wang,Haiying Ding,Di Wang,Qingjun Liu,Fenni Zhang","doi":"10.1021/acssensors.5c02048","DOIUrl":"https://doi.org/10.1021/acssensors.5c02048","url":null,"abstract":"Phase-sensitive surface plasmon resonance (P-SPR) techniques offer superior sensitivity compared to conventional intensity-based SPR methods. However, current implementations, such as interference-based and polarization-based phase measurements, often face trade-offs between optical complexity and phase resolution, and typically lack access to full polarization information. Here, we report a compact and versatile Stokes vector-based polarization SPR imaging (Sp-SPRi) system that addresses these limitations through full Stokes vector analysis of imaging light after polarization modulation. This analysis enables the simultaneous acquisition of phase and multiple polarization parameters for enhanced molecular measurement. The Sp-SPRi system achieves a high phase sensitivity of 1.80 × 10-7 refractive index units (RIU), supporting kinetic, label-free detection and quantification of biomolecular interactions. We demonstrate its performance through kinetic measurements of protein binding, small molecule interactions, and in situ glycoprotein measurement of single cells. With its simplified optical configuration, microfluidic integration, and high-throughput imaging capabilities, Sp-SPRi provides a powerful platform for multidimensional biosensing. This work broadens the analytical scope of P-SPR, offering a robust and accessible approach for applications in point-of-care diagnostics, early disease detection, and drug screening.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"1 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145203638","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

Sunflower-Shaped Zinc Oxide Architectures Decorated with Cerium Oxide Nanoparticles for the Stable Detection of ppb-Concentration Benzaldehyde. 纳米氧化铈修饰的向日葵型氧化锌结构稳定检测ppb浓度苯甲醛。

IF 8.9 1区化学

ACS Sensors Pub Date : 2025-10-02 DOI: 10.1021/acssensors.5c01648

Yi Zhang,Xinhua Zhao,Xiaxia Xing,Zhenxu Li,Xiaoyu Chen,Xiaoyan Lang,Zhu Zhang,Tingting Wang,Jacek Ryl,Dachi Yang

{"title":"Sunflower-Shaped Zinc Oxide Architectures Decorated with Cerium Oxide Nanoparticles for the Stable Detection of ppb-Concentration Benzaldehyde.","authors":"Yi Zhang,Xinhua Zhao,Xiaxia Xing,Zhenxu Li,Xiaoyu Chen,Xiaoyan Lang,Zhu Zhang,Tingting Wang,Jacek Ryl,Dachi Yang","doi":"10.1021/acssensors.5c01648","DOIUrl":"https://doi.org/10.1021/acssensors.5c01648","url":null,"abstract":"The newly emerged gas sensing detection of benzaldehyde biomarkers is deemed as a noninvasive way to indirectly diagnose lung canceration, in which the benzaldehyde sensing is simultaneously endowed with high stability, along with humidity tolerance and ppb-concentration detection limit, but requires further developing. Here, sunflower-shaped zinc oxide architectures decorated with cerium oxide nanoparticles (ZnO ACHs/CeO2 NPs) have been synthesized via a hydrothermal process followed by annealing for stable and ppb-concentration benzaldehyde sensing. As-prepared ZnO ACHs/CeO2 NPs are observed with sunflower-shaped architectures decorated with CeO2 NPs. Beneficially, ZnO ACHs/CeO2 NPs exhibit a 50 ppb detection limit, 71 days stability, and 90% RH humidity tolerance at 240 °C. Such an excellent benzaldehyde sensing performance might be attributed to the accelerated electron transfers by forming heterojunctions and enriched adsorption sites over sunflower-shaped architectures. Remarkably, the classification algorithm combined with principal component analysis was conducted to identify the benzaldehyde from other interfering gases. Practically, ZnO ACHs/CeO2 NPs are integrated into the benzaldehyde sensing device, which has potential in the future early diagnosis of lung canceration.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"35 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145203641","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

Highly Sensitive and Selective Zinc-Based Metal-Organic Framework Derivatives Gas Sensors for Trace H2S Detection. 用于痕量H2S检测的高灵敏度和选择性锌基金属-有机框架衍生物气体传感器。

IF 8.9 1区化学

ACS Sensors Pub Date : 2025-10-02 DOI: 10.1021/acssensors.5c01743

Wei Wang,Li Chen,Leif Riemenschneider,Chen-Chen Wang,Luis-Antonio Panes-Ruiz,Martin Hantusch,Yun-Xu Chen,Jian-Jun Zhang,Shivam Singh,Yana Vaynzof,Markus Löffler,Arezoo Dianat,Naisa Chandrasekhar,Shi-Rong Huang,Gianaurelio Cuniberti

{"title":"Highly Sensitive and Selective Zinc-Based Metal-Organic Framework Derivatives Gas Sensors for Trace H2S Detection.","authors":"Wei Wang,Li Chen,Leif Riemenschneider,Chen-Chen Wang,Luis-Antonio Panes-Ruiz,Martin Hantusch,Yun-Xu Chen,Jian-Jun Zhang,Shivam Singh,Yana Vaynzof,Markus Löffler,Arezoo Dianat,Naisa Chandrasekhar,Shi-Rong Huang,Gianaurelio Cuniberti","doi":"10.1021/acssensors.5c01743","DOIUrl":"https://doi.org/10.1021/acssensors.5c01743","url":null,"abstract":"High sensitivity and selectivity are never-ending points of interest in the gas sensing field. Herein, the novel functionalized N-doped graphitic carbon is derived from Zn-MOF by modulating the pyrolysis temperature toward H2S sensing application. The results demonstrate excellent sensing performance toward H2S gas with a limit of detection (LOD) of 56.9 ppb, faster response and recovery time (18 and 29 s), and high selectivity with a 20-fold response difference than other interfering gases. The expected stability with stable multiple consecutive responses and a strong response toward 1 ppm of H2S after 4 months were reached. Functionalized groups pyridinic nitrogen (PD-N) and pyrrolic nitrogen (PR-N) that make MOF-derived carbon stand out in H2S gas sensing are mainly attributed to dual active sites: (i) N-C bonds on graphitic carbon undergo surface redox reactions, forming oxidized carbon species (C═O or C═S), and (ii) PD/PR-N-Zn coordination centers facilitate the formation of SO42--based surface complexes through reaction with H2S and adsorbed oxygen. Notably, DFT calculation was employed to confirm both PR-N and PD-N bonding with zinc, yielding the largest charge transfer and binding energy among simulated factors, which attributes to the generation of significant sensing performance for H2S. Consequently, this work will provide a novel strategy for the advancement of gas sensing applications.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"28 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145203639","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

Temporal Effect Analysis in an In-Sensor Computing System Enabled by Retention-Engineered Synaptic Devices. 保留工程突触装置在传感器内计算系统中的时间效应分析。

IF 8.9 1区化学

ACS Sensors Pub Date : 2025-10-01 DOI: 10.1021/acssensors.5c01495

Sung Hyeon Park,Dong Gue Roe,Sang Young Jeong,Yoon Young Choi,Duho Jang,Sung Joon Cheon,Min Sub Kim,Yeong Don Park,Youngjae Yoo,Dong-Hwan Kim,Han Young Woo,Jeong Ho Cho

{"title":"Temporal Effect Analysis in an In-Sensor Computing System Enabled by Retention-Engineered Synaptic Devices.","authors":"Sung Hyeon Park,Dong Gue Roe,Sang Young Jeong,Yoon Young Choi,Duho Jang,Sung Joon Cheon,Min Sub Kim,Yeong Don Park,Youngjae Yoo,Dong-Hwan Kim,Han Young Woo,Jeong Ho Cho","doi":"10.1021/acssensors.5c01495","DOIUrl":"https://doi.org/10.1021/acssensors.5c01495","url":null,"abstract":"In-sensor computing systems demonstrate significant potential for reducing system complexity and enhancing computational efficiency. However, current methodologies predominantly focus on monitoring and processing instantaneous sensor data, neglecting the crucial temporal aspects of sensor inputs. This limitation is particularly significant in healthcare applications, where the human body often exhibits delayed responses to external stimuli. Herein, we developed a synapse-based in-sensor computing system that comprises three retention-engineered synaptic devices connected in parallel to represent the temporal effects of external stimuli. In a proof-of-concept application, the synapse-based in-sensor computing system accurately evaluated the combined temporal risk of hazardous gases, presenting a novel method for assessing the synergistic hazardousness of multiple gases. The presented retention-engineered synapse-based in-sensor computing system offers an innovative solution to the challenges of traditional in-sensor computing, providing a pathway to reduce system complexity and enhance computational efficiency.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"23 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145194858","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 Superb Antifouling Electrochemical Biosensor Based on Macrocycle Encapsulation Strategy for Biomarker Analysis in Complex Biofluids. 基于大环封装策略的高性能防污电化学生物传感器用于复杂生物流体中生物标志物的分析。

IF 8.9 1区化学

ACS Sensors Pub Date : 2025-10-01 DOI: 10.1021/acssensors.5c02896

Fan Zhao,Jingyue Lan,Chaodie Jia,Yibo Zhao,Zhe Zheng,Jingjing Li,Ming Dong,Chunju Li

{"title":"A Superb Antifouling Electrochemical Biosensor Based on Macrocycle Encapsulation Strategy for Biomarker Analysis in Complex Biofluids.","authors":"Fan Zhao,Jingyue Lan,Chaodie Jia,Yibo Zhao,Zhe Zheng,Jingjing Li,Ming Dong,Chunju Li","doi":"10.1021/acssensors.5c02896","DOIUrl":"https://doi.org/10.1021/acssensors.5c02896","url":null,"abstract":"Conquering microenvironmental interferences and achieving high sensing performance are challenging in biomarker analysis within complex biological fluids due to electrode biofouling and enzymatic degradation. Herein, a robust sensing interface was developed via a host-guest interaction strategy, where a peptide recognition unit (specific for Furin protein in this study) was encapsulated by a giant macrocycle to enhance antifouling and proteolytic resistance. The peptide could be effectively complexed with the designed large-sized water-soluble quaterphen[4]arene sulfate (WQP[4]S) through host-guest molecular recognition to resist protease hydrolysis and improve the stability of the peptide. At the same time, the complex formed by WQP[4]S and the peptide demonstrated high water solubility and electrical neutrality, thus providing an excellent antifouling performance for the sensing interface. In addition, methylene blue (MB) was introduced as an inter-reference molecule to develop a ratiometric electrochemical biosensor for highly accurate analysis. The WQP[4]S-modified peptide-based biosensor exhibited high selectivity and sensitivity for precise Furin detection and achieved a low detection limit of 0.81 U L-1, and it assayed Furin targets accurately in blood samples from both healthy individuals and patients with diabetes. This study presents a novel and effective approach to develop antifouling and enzymatic-resistant biosensors for precise biomarker detection in complex biological fluids.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"37 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145203478","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 3D SERS Chip with Acoustic Enrichment for High-Accuracy Diagnosis of Respiratory Viruses and Emerging Pathogens. 基于声学富集的机器学习辅助3D SERS芯片用于呼吸道病毒和新发病原体的高精度诊断。

IF 8.9 1区化学

ACS Sensors Pub Date : 2025-10-01 DOI: 10.1021/acssensors.5c02411

Yingjin Ma,Man-Chung Wong,Menglin Song,Pui Wang,Yuan Liu,Yifei Zhao,Honglin Chen,Juewen Liu,Jianhua Hao

{"title":"Machine Learning-Assisted 3D SERS Chip with Acoustic Enrichment for High-Accuracy Diagnosis of Respiratory Viruses and Emerging Pathogens.","authors":"Yingjin Ma,Man-Chung Wong,Menglin Song,Pui Wang,Yuan Liu,Yifei Zhao,Honglin Chen,Juewen Liu,Jianhua Hao","doi":"10.1021/acssensors.5c02411","DOIUrl":"https://doi.org/10.1021/acssensors.5c02411","url":null,"abstract":"Outbreaks of SARS-CoV-2, first investigated as an unknown pathogen, have reflected the severe threat that pathogen X poses to public health and social security. Early and precise diagnosis and classification of infectious respiratory diseases with similar symptoms are essential for the risk assessment of public health or epidemiological investigations. Current technologies are limited to detect known viruses, leading to false negatives for novel or mutated pathogens. Here, we propose an ML-assisted SERS strategy for screening various types of respiratory viruses and potential pathogen X in cases with similar infectious symptoms. A label-free 3D plasmonic Au-PS SERS chip was designed to amplify the Raman signal over 103-fold compared to a conventional Au substrate. An ensemble ML model was developed to analyze SERS data for effectively distinguishing between healthy individuals, SARS-CoV-2, RSV, and influenza A and B, as well as identifying newly emerging pathogens. Our experiments demonstrated that the ensemble model integrated with SERS spectra achieved a remarkable classification accuracy of 100%. Notably, the model exhibited excellent performance in detecting mixed viral infections and simulated pathogen X, with a reliable detection range of viral concentrations from 5 × 102 to 106 PFU/mL under acoustic enrichment. This approach holds significant promise for the early screening and detection of emerging and known respiratory pathogens.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"101 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145203675","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