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Electrochemical Biosensor for Multiplexed Detection of Nucleic Acids Using a DNA Three-Way Junction with Metal Ion Intercalation. 基于DNA三向结金属离子插层的多路核酸检测电化学生物传感器。
IF 8.9 1区 化学 Q1 CHEMISTRY, ANALYTICAL Pub Date : 2026-03-03 DOI: 10.1021/acssensors.5c03956
Seohee Park,Seokho Jung,Minyoung Lee,Taek Lee,Jin-Ho Lee,Jinho Yoon
The multiplexed detection ability of biosensors can improve the accuracy of the early-stage disease diagnosis. Besides, an electrochemical technique is particularly well-suited for enabling such multiplexed target detection. The DNA three-way junction (3WJ) structure is capable of multiplexed detection of nucleic acids accompanying enhanced stability compared to a conventional double-stranded DNA structure. However, the introduction of redox active molecules for demonstration of electrochemical biosensing should be addressed for simple detection. In this study, we propose an electrochemical biosensor based on the 3WJ-metal ion intercalated DNA (3WJ-MID) for simultaneous detection of multiple DNA targets. To amplify the electrochemical response, an electrode with Au nanopatterns is employed as an electrode. As targets of this biosensor, human papillomavirus type 16 and 18 DNAs are detected for validation of multiplexed target detection. We expect that this biosensor can be used for the multiplexed detection of various nucleic acid biomarkers, including viral DNAs.
生物传感器的多路检测能力可以提高早期疾病诊断的准确性。此外,电化学技术特别适合于实现这种多路目标检测。与传统的双链DNA结构相比,DNA三通结(3WJ)结构能够对核酸进行多路检测,并具有更高的稳定性。然而,引入氧化还原活性分子来演示电化学生物传感,应该解决简单的检测。在这项研究中,我们提出了一种基于3wj金属离子插入DNA (3WJ-MID)的电化学生物传感器,用于同时检测多个DNA目标。为了放大电化学响应,采用了具有金纳米图案的电极作为电极。以人乳头瘤病毒16型和18型dna作为该生物传感器的靶标,验证了多重靶标检测的有效性。我们期望这种生物传感器可以用于多种核酸生物标志物的多路检测,包括病毒dna。
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引用次数: 0
Smart Garment for Continuous Respiration Monitoring in Canines. 用于犬类连续呼吸监测的智能服装。
IF 8.9 1区 化学 Q1 CHEMISTRY, ANALYTICAL Pub Date : 2026-03-03 DOI: 10.1021/acssensors.5c03783
Seokkyoon Hong,Taewoong Park,Youngjun Lee,Juan C Mesa,Tianhao Yu,Yuhyun Ji,Junsang Lee,Jinheon Jeong,Seok-Won Kang,Dong Rip Kim,Young L Kim,Hyowon Lee,Rachel K Surowiec,Luis Dos Santos,Chi Hwan Lee
There is a growing need for at-home respiration monitoring in canines, who are prone to respiratory issues due to breed-specific anatomy and active lifestyles. Continuous monitoring of respiration provides critical insight into stress and illness; however, current solutionsranging from clinical instruments to wearable devicesare either accurate but invasive and episodic or limited in fit and comfort. Here, we introduce a smart garment that integrates a spongy-like strain sensor and compact data acquisition module into commercially available canine apparel, enabling continuous, non-invasive monitoring of respiration, body temperature, and physical activity. Validation with two breeds, Labrador and Boxer, confirmed its ability to capture breed- and activity-specific respiration patterns, including differences in breathing rate, amplitude, and panting behavior. Using convolutional neural network (CNN)-assisted machine learning (ML), the system classified respiratory patterns across breeds and activity levels with over 94.3% accuracy. Beyond canines, this platform may hold potential for future adaptation to other companion animals, such as cats, suggesting a broader scope for home-based veterinary monitoring.
由于犬种特有的解剖结构和活跃的生活方式,它们容易出现呼吸问题,因此越来越需要对犬类进行家庭呼吸监测。持续监测呼吸提供了对压力和疾病的关键洞察;然而,目前的解决方案,从临床仪器到可穿戴设备,要么是准确的,但有侵入性和偶发性,要么是在适合和舒适方面受到限制。在这里,我们介绍了一种智能服装,它将海绵状的应变传感器和紧凑的数据采集模块集成到市售的犬类服装中,可以连续、无创地监测呼吸、体温和身体活动。用拉布拉多和博克瑟两个品种进行验证,证实了它能够捕捉到品种和活动特定的呼吸模式,包括呼吸频率、幅度和喘气行为的差异。该系统使用卷积神经网络(CNN)辅助机器学习(ML)对不同品种和活动水平的呼吸模式进行分类,准确率超过94.3%。除了犬科动物,这个平台还可能在未来适应其他伴侣动物,如猫,这表明家庭兽医监测的范围更广。
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引用次数: 0
Enrichment-Free Detection of Trace Exosomes Enabled by Liquid Crystal Optics. 液晶光学实现痕量外泌体的无富集检测。
IF 8.9 1区 化学 Q1 CHEMISTRY, ANALYTICAL Pub Date : 2026-03-03 DOI: 10.1021/acssensors.5c04434
Jinchen Xu,Yueming Ou,Zhengming Su,Guanming Lin,Jiahao Jiang,Yinuo Guo,Peilu Li,Zhexin Zhou,Shuting Xie,Yifan Liu,Lingling Shui,Minmin Zhang,Honglin Chen
Detection of stem cell exosomes advances our understanding of stem cell biology and offers new pathways for disease treatment and diagnosis. However, the clinical translation is significantly hindered by low yields and the need for time-consuming enrichment. Here, we propose "direct exosome detection (DED)", an efficient, cost-effective, label-free, and highly specific liquid crystal (LC)-based optical platform that detects trace exosomes in complex media without pre-enrichment. By harnessing the optical amplification effect of LC, the specific binding of exosomes to hexadecyltrimethylammonium bromide (CTAB)-absorbed aptamers triggers a stretch-to-hairpin-like conformational transition of aptamers, causing a planar-to-vertical alignment and, correspondingly, a bright-to-dark optical signal transition in the LC. Molecular dynamics (MD) simulations validate that LC orientational orders and the collective optical responses respond to subtle biochemical binding events and their interaction energies at the LC-aqueous interface, consistent with the experimental results. This DED platform enables ultra-high sensitivity with a detection limit of 9.18 × 103 particles/mL, with an R2 value of 0.9976 for the detection of mesenchymal stem cell (MSC) exosomes, while offering significantly faster detection time within 10 min. The LC-based DED platform also demonstrates robust performance in exosome drug screening and high selectivity in complex clinical samples, including prostate cancer‑derived exosomes. Finally, a smartphone‑integrated portable DED (S-DED) prototype validates the approach for point‑of‑care testing. LC-based DED offers a simple, reliable, and highly sensitive paradigm for trace exosome detection and early disease diagnosis.
干细胞外泌体的检测促进了我们对干细胞生物学的理解,并为疾病的治疗和诊断提供了新的途径。然而,临床转化受到低产量和需要耗时的富集的显著阻碍。在这里,我们提出了“直接外泌体检测(DED)”,这是一种高效、经济、无标签、高特异性的基于液晶(LC)的光学平台,可以检测复杂介质中的痕量外泌体,而无需预先富集。通过利用LC的光学放大效应,外泌体与十六烷基三甲基溴化铵(CTAB)吸收的适体特异性结合触发适体的拉伸到发夹状构象转变,导致LC从平面到垂直的排列,相应地,光信号从亮到暗的转变。分子动力学(MD)模拟验证了LC取向顺序和集体光学响应对LC-水界面上细微的生化结合事件及其相互作用能的响应,与实验结果一致。该DED平台对间充质干细胞(MSC)外泌体的检测灵敏度极高,检测限为9.18 × 103颗粒/mL, R2值为0.9976,检测时间在10 min以内。基于lc的DED平台在复杂临床样品(包括前列腺癌来源的外泌体)的外泌体药物筛选和高选择性方面也表现出强大的性能。最后,智能手机集成的便携式DED (S-DED)原型验证了护理点测试的方法。基于lc的DED为痕量外泌体检测和早期疾病诊断提供了一种简单、可靠和高度敏感的范例。
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引用次数: 0
SERS-Based E-Tongue Data Analysis Methods: From Spectrum Preparation to Qualitative and Quantitative Modeling. 基于sers的电子舌数据分析方法:从光谱制备到定性和定量建模。
IF 8.9 1区 化学 Q1 CHEMISTRY, ANALYTICAL Pub Date : 2026-03-03 DOI: 10.1021/acssensors.5c04835
Pengju Yin,Xiaoyao Wu,Yumeng Xiao,Chenyao Feng,Xinyuan Wang,Dmitriy Klyuyev,Zhuo Wu,Yiping Zhao,Bo Hu
The surface-enhanced Raman spectroscopy (SERS)-based electronic tongue (E-tongue) represents a noninvasive and label-free taste-mimicking technology. This method employs an SERS sensing array as the core for signal amplification and detection, integrated with spectral signal acquisition and machine learning (ML) techniques, to achieve specific identification, qualitative analysis, and quantitative determination of multiple components in complex liquid matrices. However, extracting key features and information from complex, multi-component mixture spectra and selecting appropriate analytical methods based on data characteristics and specific tasks remain significant challenges in the field. This paper reviews the technical principles and research progress of SERS-based E-tongues, focusing on the core issue of "How laboratory researchers can scientifically and efficiently select ML methods after obtaining raw SERS data from sensor arrays, based on the data characteristics and analysis goals." The sections on preprocessing and feature engineering systematically summarize mainstream methods and evaluate their applicable scenarios. The qualitative analysis and quantitative modeling section also provides clear guidelines for selecting algorithms based on typical spectral characteristics and specific task requirements. The entire discussion addresses the practical challenges throughout the data processing pipeline, aiming to provide clear and practical methodological references for the majority of laboratory personnel engaged in SERS-based E-tongue research. Finally, it highlights the latest applications, summarizes current bottlenecks, and outlines future directions.
基于表面增强拉曼光谱(SERS)的电子舌(E-tongue)是一种无创、无标签的味觉模拟技术。该方法以SERS传感阵列为核心进行信号放大和检测,结合光谱信号采集和机器学习(ML)技术,实现对复杂液体基质中多组分的特异性鉴定、定性分析和定量测定。然而,从复杂的多组分混合光谱中提取关键特征和信息,并根据数据特征和具体任务选择合适的分析方法仍然是该领域的重大挑战。本文综述了基于SERS的电子语言的技术原理和研究进展,重点讨论了“实验室研究人员如何根据数据特征和分析目标,在从传感器阵列获取原始SERS数据后,科学高效地选择ML方法”这一核心问题。预处理和特征工程部分系统地总结了主流方法,并评估了它们的适用场景。定性分析和定量建模部分也为基于典型光谱特征和具体任务要求的算法选择提供了明确的指导。整个讨论解决了整个数据处理管道中的实际挑战,旨在为大多数从事基于sers的电子舌研究的实验室人员提供清晰实用的方法参考。最后,重点介绍了最新的应用,总结了当前的瓶颈,并概述了未来的发展方向。
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引用次数: 0
Integrated CTC Enrichment and Dual-Responsive Nanoprobe Identification Enable Intelligent Liquid Biopsy-Based Cancer Diagnosis. 集成CTC富集和双响应纳米探针鉴定实现基于液体活检的智能癌症诊断。
IF 8.9 1区 化学 Q1 CHEMISTRY, ANALYTICAL Pub Date : 2026-03-03 DOI: 10.1021/acssensors.5c03720
Sitian He,Lihua Ding,Clement Yaw Effah,Jiarong Pu,Shuhan Gu,Ruiyang Wang,Lifeng Li,Lijun Miao,Yongjun Wu
This work addresses the challenge of accurately identifying living circulating tumor cell (CTC) from contaminating leukocytes by developing a novel, fixation-free dual-marker sensing strategy that preserves cell viability and biomolecular integrity for downstream analysis. Our strategy utilizes telomerase-responsive gold nanoparticles (polyA-TSP-AuNPs) to increase intracellular negative charge, which in turn enhances the electrostatic accumulation of a custom-synthesized, mitochondria-targeting aggregation-induced emission probe (DSA-PPh3). This dual-marker identification system was then integrated with our rVAR2-FETCH enrichment method, and the resulting CTC counts were combined with hematological parameters in a supervised machine learning model for diagnosis. The dual-marker system amplified the tumor-to-leukocyte signal ratio to 10.03 and showed excellent concordance with the CellSearch reagent (R = 0.97) while preserving RNA integrity. When integrated with rVAR2-FETCH enrichment, our platform detected CTC in 83.67% (41/49) of non-small cell lung cancer patients, outperforming the complete CellSearch kit. Furthermore, machine learning models integrating CTC counts with hematological biomarkers achieved excellent diagnostic performance for lung cancer, with support vector machine demonstrating the best results (AUC = 0.977).
这项工作通过开发一种新的、无固定的双标记传感策略来解决从污染的白细胞中准确识别活循环肿瘤细胞(CTC)的挑战,该策略可以保留细胞活力和下游分析的生物分子完整性。我们的策略利用端粒酶响应金纳米颗粒(polyA-TSP-AuNPs)增加细胞内负电荷,从而增强定制合成的线粒体靶向聚集诱导发射探针(DSA-PPh3)的静电积累。然后将该双标记识别系统与我们的rVAR2-FETCH富集方法集成,并将得到的CTC计数与血液学参数结合在监督机器学习模型中进行诊断。双标记系统将肿瘤与白细胞的信号比扩增到10.03,与CellSearch试剂具有良好的一致性(R = 0.97),同时保持了RNA的完整性。当与rVAR2-FETCH富集结合时,我们的平台在83.67%(41/49)的非小细胞肺癌患者中检测到CTC,优于完整的CellSearch试剂盒。此外,将CTC计数与血液生物标志物相结合的机器学习模型对肺癌的诊断效果也很好,其中支持向量机的诊断效果最好(AUC = 0.977)。
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引用次数: 0
Magnetic Field-Enhanced NO2 Sensing in Co3O4 Microcubes: Insights from Magnetic Structure Evolution. 磁场增强的Co3O4微立方体NO2传感:来自磁结构演化的见解。
IF 8.9 1区 化学 Q1 CHEMISTRY, ANALYTICAL Pub Date : 2026-03-02 DOI: 10.1021/acssensors.5c03629
Runjia Xu,Yinfang Xu,Yaru Liu,Jingxin Qi,Kaifeng Xue,Pinhua Zhang,Hongmei Liu,Guangliang Cui
A magnetic field can modulate the density and transport of charge carriers through magnetic moment rearrangement and Lorentzian forces, as well as enhance oxygen adsorption on semiconductor surfaces. This dual-action mechanism provides a robust platform for engineering sensitivity in metal oxide gas sensors. In this study, antiferromagnetic mesoporous Co3O4 microcubes were prepared by a hydrothermal method for ultrasensitive NO2 gas detection at room temperature under the assistance of a magnetic field. The gas response exhibits significant magnetic field enhancement to 0.5-100 ppm NO2, showing positive correlation with both field strength (≤150.8 mT) and gas concentration. At 150.8 mT, the response to 500 ppb NO2 increased nearly four-fold, with sensitivity increasing from 8 to 30. First-principles calculations combined with experimental studies reveal the magnetic structure evolution due to the adsorption enhancement of nitrogen dioxide/oxygen on bidentate cobalt sites under magnetic fields, establishing a physical mechanism of magnetic field-enhanced gas sensing. This work demonstrates magnetic field modulation as a generalizable strategy to transcend the performance limits of conventional metal oxide gas sensing materials.
磁场可以通过磁矩重排和洛伦兹力调节载流子的密度和输运,并增强氧在半导体表面的吸附。这种双作用机制为金属氧化物气体传感器的工程灵敏度提供了一个强大的平台。本研究采用水热法制备反铁磁介孔Co3O4微立方体,在磁场的辅助下,在室温下进行超灵敏的NO2气体检测。当磁场强度为0.5 ~ 100 ppm NO2时,气体响应显著增强,且与磁场强度(≤150.8 mT)和气体浓度呈正相关。在150.8 mT时,对500 ppb NO2的响应增加了近4倍,灵敏度从8增加到30。第一性原理计算结合实验研究揭示了磁场作用下二氧化氮/氧在双齿钴位点上吸附增强导致的磁结构演化,建立了磁场增强气敏的物理机制。这项工作证明了磁场调制是一种超越传统金属氧化物气敏材料性能限制的通用策略。
{"title":"Magnetic Field-Enhanced NO2 Sensing in Co3O4 Microcubes: Insights from Magnetic Structure Evolution.","authors":"Runjia Xu,Yinfang Xu,Yaru Liu,Jingxin Qi,Kaifeng Xue,Pinhua Zhang,Hongmei Liu,Guangliang Cui","doi":"10.1021/acssensors.5c03629","DOIUrl":"https://doi.org/10.1021/acssensors.5c03629","url":null,"abstract":"A magnetic field can modulate the density and transport of charge carriers through magnetic moment rearrangement and Lorentzian forces, as well as enhance oxygen adsorption on semiconductor surfaces. This dual-action mechanism provides a robust platform for engineering sensitivity in metal oxide gas sensors. In this study, antiferromagnetic mesoporous Co3O4 microcubes were prepared by a hydrothermal method for ultrasensitive NO2 gas detection at room temperature under the assistance of a magnetic field. The gas response exhibits significant magnetic field enhancement to 0.5-100 ppm NO2, showing positive correlation with both field strength (≤150.8 mT) and gas concentration. At 150.8 mT, the response to 500 ppb NO2 increased nearly four-fold, with sensitivity increasing from 8 to 30. First-principles calculations combined with experimental studies reveal the magnetic structure evolution due to the adsorption enhancement of nitrogen dioxide/oxygen on bidentate cobalt sites under magnetic fields, establishing a physical mechanism of magnetic field-enhanced gas sensing. This work demonstrates magnetic field modulation as a generalizable strategy to transcend the performance limits of conventional metal oxide gas sensing materials.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"410 1","pages":"XXX"},"PeriodicalIF":8.9,"publicationDate":"2026-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147329435","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
Biomimetic Electrochemical Chip Integrated with Closed-Loop AI for Dynamic Dopamine Decoding and Neuromodulation. 集成闭环AI的仿生电化学芯片用于多巴胺动态解码和神经调节。
IF 9.1 1区 化学 Q1 CHEMISTRY, ANALYTICAL Pub Date : 2026-02-27 DOI: 10.1021/acssensors.5c03495
Xinran Li, Xiao Wu, Qiyan Wang, Yunhe Zhu, Liyuan Zhang, Yifan Song, Benkun Lv, Jiyu Chen, Wu Fan, Guobi Chai, Qidong Zhang, Ronghan Wei, Wei Ma

Bioelectronic systems integrated with artificial intelligence (AI) are transforming neurochemical diagnostics, enabling intelligent, real-time decoding of brain chemistry. Here, we present an AI-driven biomimetic electrochemical chip with intestine-inspired wrinkled MoS2 electrodes, enabling dynamic in vivo dopamine monitoring and neuromodulation. This wrinkled structural design promotes efficient molecular capture and alleviates laminar flow limitations, achieving a 23-fold enhancement in dopamine sensitivity over planar electrodes, with detection limits as low as 37 nM in 4.1 μL of biofluid. Moreover, coupled with an AI-assisted decision module, the platform translates neurochemical fluctuations into adaptive modulation, enabling real-time closed-loop neuromodulation. In vivo studies in rats demonstrate autonomous regulation of endogenous dopamine transients, directly linking electrode architecture to functional neural outcomes. This work highlights how bioinspired electrode design, integrated with intelligent signal interpretation, establishes a scalable pathway toward next-generation neurodiagnostics and adaptive bioelectronic interfaces.

与人工智能(AI)集成的生物电子系统正在改变神经化学诊断,使大脑化学的智能实时解码成为可能。在这里,我们提出了一种人工智能驱动的仿生电化学芯片,该芯片具有肠道启发的皱褶MoS2电极,可实现体内动态多巴胺监测和神经调节。这种褶皱结构设计促进了有效的分子捕获,减轻了层流限制,使多巴胺灵敏度比平面电极提高了23倍,在4.1 μL生物流体中检测限低至37 nM。此外,结合人工智能辅助决策模块,该平台将神经化学波动转化为自适应调节,实现实时闭环神经调节。在大鼠体内的研究表明内源性多巴胺瞬态的自主调节,直接将电极结构与功能性神经结果联系起来。这项工作强调了生物启发电极设计如何与智能信号解释相结合,为下一代神经诊断和自适应生物电子接口建立了可扩展的途径。
{"title":"Biomimetic Electrochemical Chip Integrated with Closed-Loop AI for Dynamic Dopamine Decoding and Neuromodulation.","authors":"Xinran Li, Xiao Wu, Qiyan Wang, Yunhe Zhu, Liyuan Zhang, Yifan Song, Benkun Lv, Jiyu Chen, Wu Fan, Guobi Chai, Qidong Zhang, Ronghan Wei, Wei Ma","doi":"10.1021/acssensors.5c03495","DOIUrl":"10.1021/acssensors.5c03495","url":null,"abstract":"<p><p>Bioelectronic systems integrated with artificial intelligence (AI) are transforming neurochemical diagnostics, enabling intelligent, real-time decoding of brain chemistry. Here, we present an AI-driven biomimetic electrochemical chip with intestine-inspired wrinkled MoS<sub>2</sub> electrodes, enabling dynamic in vivo dopamine monitoring and neuromodulation. This wrinkled structural design promotes efficient molecular capture and alleviates laminar flow limitations, achieving a 23-fold enhancement in dopamine sensitivity over planar electrodes, with detection limits as low as 37 nM in 4.1 μL of biofluid. Moreover, coupled with an AI-assisted decision module, the platform translates neurochemical fluctuations into adaptive modulation, enabling real-time closed-loop neuromodulation. In vivo studies in rats demonstrate autonomous regulation of endogenous dopamine transients, directly linking electrode architecture to functional neural outcomes. This work highlights how bioinspired electrode design, integrated with intelligent signal interpretation, establishes a scalable pathway toward next-generation neurodiagnostics and adaptive bioelectronic interfaces.</p>","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":" ","pages":"XXX"},"PeriodicalIF":9.1,"publicationDate":"2026-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147300240","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
Terminal-Optimized Aptamer-Guide-DNAzyme Triplex Boosts Clostridium butyricum Argonaute-Driven Multiplex Foodborne Pathogen Detection without Nucleic Acid Amplification. 终端优化的适体引导- dnazyme三重体促进无核酸扩增丁酸梭菌驱动的多重食源性病原体检测。
IF 9.1 1区 化学 Q1 CHEMISTRY, ANALYTICAL Pub Date : 2026-02-27 DOI: 10.1021/acssensors.5c04313
Ruxiang Ma, Yongqiang He, Niu Feng, Chunling Li, Yiping Chen

Multiplexed and sensitive detection of foodborne pathogens is important and necessary to control foodborne diseases. ‌Mesophilic Clostridium butyricum Argonaute (CbAgo) exhibits endonuclease activity, enabling precise guide DNA (gDNA)-directed target cleavage without sequence constraints, thus holding potential for multiplexed foodborne pathogen detection. The intrinsic activity constraints of CbAgo could be addressed by engineered modification of its gDNA in combination with synergistically enzymatic mechanisms, potentially generating highly efficient cooperative cleavage activity. ‌In this study, the gDNA was engineered to incorporate a DNAzyme-functionalized fragment (designated as cDNA) for substrate strand cleavage, followed by systematic investigation of terminal modification group preferences. The synergistic integration of these dual enzymatic activities ultimately enhanced signal amplification efficacy. Furthermore, we developed a DNAzyme-CbAgo synergistic fluorescence aptamer biosensor, enabling multiplexed detection of three pathogenic bacteria with a detection limit down to 69 CFU mL-1. This work provides a potential platform for the simultaneous detection of multiplex foodborne pathogenic bacteria without DNA extraction and amplification.

多种多样、灵敏的食源性病原菌检测是控制食源性疾病的重要和必要手段。中温嗜酸丁酸梭菌(CbAgo)表现出核酸内切酶活性,能够在没有序列限制的情况下进行精确的引导DNA (gDNA)靶向切割,从而具有多重食源性病原体检测的潜力。CbAgo的内在活性限制可以通过工程修饰其gDNA与协同酶机制相结合来解决,可能产生高效的协同裂解活性。在本研究中,对gDNA进行工程改造,将dnazyme功能化片段(指定为cDNA)用于底物链切割,然后系统地研究末端修饰基团的偏好。这些双酶活性的协同整合最终增强了信号放大功效。此外,我们开发了DNAzyme-CbAgo协同荧光适体生物传感器,能够多重检测三种致病菌,检测限低至69 CFU mL-1。本研究为多种食源性致病菌的同时检测提供了一个潜在的平台,无需提取和扩增DNA。
{"title":"Terminal-Optimized Aptamer-Guide-DNAzyme Triplex Boosts <i>Clostridium butyricum</i> Argonaute-Driven Multiplex Foodborne Pathogen Detection without Nucleic Acid Amplification.","authors":"Ruxiang Ma, Yongqiang He, Niu Feng, Chunling Li, Yiping Chen","doi":"10.1021/acssensors.5c04313","DOIUrl":"10.1021/acssensors.5c04313","url":null,"abstract":"<p><p>Multiplexed and sensitive detection of foodborne pathogens is important and necessary to control foodborne diseases. ‌Mesophilic Clostridium butyricum Argonaute (<i>Cb</i>Ago) exhibits endonuclease activity, enabling precise guide DNA (gDNA)-directed target cleavage without sequence constraints, thus holding potential for multiplexed foodborne pathogen detection. The intrinsic activity constraints of <i>Cb</i>Ago could be addressed by engineered modification of its gDNA in combination with synergistically enzymatic mechanisms, potentially generating highly efficient cooperative cleavage activity. ‌In this study, the gDNA was engineered to incorporate a DNAzyme-functionalized fragment (designated as cDNA) for substrate strand cleavage, followed by systematic investigation of terminal modification group preferences. The synergistic integration of these dual enzymatic activities ultimately enhanced signal amplification efficacy. Furthermore, we developed a DNAzyme-<i>Cb</i>Ago synergistic fluorescence aptamer biosensor, enabling multiplexed detection of three pathogenic bacteria with a detection limit down to 69 CFU mL<sup>-1</sup>. This work provides a potential platform for the simultaneous detection of multiplex foodborne pathogenic bacteria without DNA extraction and amplification.</p>","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":" ","pages":"XXX"},"PeriodicalIF":9.1,"publicationDate":"2026-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147300202","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
Light-Assisted and Humidity-Tolerant ppb-Level NO2 Detection at Low Temperature Using a Ternary In2O3@ZnO@PPy Hybrid. 使用三元In2O3@ZnO@PPy杂化物在低温下光辅助和耐湿ppb级NO2检测。
IF 9.1 1区 化学 Q1 CHEMISTRY, ANALYTICAL Pub Date : 2026-02-27 DOI: 10.1021/acssensors.5c04256
Ying Li, Xiangyang Wei, Jingyuan Ma, Rui You

The pervasive issue of nitrogen dioxide (NO2) as a hazardous air pollutant requires the development of high-performance gas sensors with high sensitivity, long-term stability, and low-temperature operation. While metal oxide semiconductors (MOS), such as In2O3 and ZnO, have been extensively investigated for this purpose, their practical application is often limited by the requirement for high operating temperatures and insufficient sensitivity to parts-per-billion (ppb) concentrations. Herein, we report a hierarchical ternary hybrid material, In2O3@ZnO@PPy, specifically designed for near-room temperature and light-assisted NO2 detection. The collective synergistic effects arising from the hierarchical architecture, inter-semiconductor heterojunctions, and conductive polymer integration enable the In2O3@ZnO@PPy sensor to exhibit exceptional sensitivity to NO2 at a low operating temperature of only 70 °C under blue-light excitation. The response value to 10 ppm NO2 is as high as 221.4. The optimized sensor demonstrates an ultralow limit of detection of 50 ppb. More importantly, the hybrid exhibits remarkable humidity tolerance, maintaining high sensing performance even at 80% relative humidity. Surface wettability analysis suggests that PPy incorporation modulates the interfacial interaction with water molecules, which helps alleviate humidity-induced interference during NO2 detection. The device further exhibits excellent repeatability, long-term stability, and strong selectivity against common interferents. These findings establish a light-assisted strategy for ppb-level gas sensing and provide a generalizable route for designing multifunctional hybrid materials for environmental monitoring and health diagnostics.

二氧化氮(NO2)作为一种有害的大气污染物普遍存在,要求开发高灵敏度、长期稳定、低温运行的高性能气体传感器。虽然金属氧化物半导体(MOS),如In2O3和ZnO,已经为此目的进行了广泛的研究,但它们的实际应用往往受到高工作温度的要求和对十亿分之一(ppb)浓度的灵敏度不足的限制。在此,我们报告了一种分层三元杂化材料In2O3@ZnO@PPy,专门设计用于近室温和光辅助NO2检测。层次化结构、半导体间异质结和导电聚合物集成所产生的集体协同效应使In2O3@ZnO@PPy传感器在蓝光激发下仅70°C的低工作温度下对NO2表现出卓越的灵敏度。对10ppm NO2的响应值高达221.4。优化后的传感器具有50 ppb的超低检测极限。更重要的是,杂交材料表现出显著的耐湿性,即使在80%的相对湿度下也能保持较高的传感性能。表面润湿性分析表明,PPy掺入调节了与水分子的界面相互作用,有助于缓解NO2检测过程中湿度引起的干扰。该装置进一步表现出优异的重复性、长期稳定性和对常见干扰的强选择性。这些发现建立了ppb级气体传感的光辅助策略,并为设计用于环境监测和健康诊断的多功能混合材料提供了可推广的途径。
{"title":"Light-Assisted and Humidity-Tolerant ppb-Level NO<sub>2</sub> Detection at Low Temperature Using a Ternary In<sub>2</sub>O<sub>3</sub>@ZnO@PPy Hybrid.","authors":"Ying Li, Xiangyang Wei, Jingyuan Ma, Rui You","doi":"10.1021/acssensors.5c04256","DOIUrl":"10.1021/acssensors.5c04256","url":null,"abstract":"<p><p>The pervasive issue of nitrogen dioxide (NO<sub>2</sub>) as a hazardous air pollutant requires the development of high-performance gas sensors with high sensitivity, long-term stability, and low-temperature operation. While metal oxide semiconductors (MOS), such as In<sub>2</sub>O<sub>3</sub> and ZnO, have been extensively investigated for this purpose, their practical application is often limited by the requirement for high operating temperatures and insufficient sensitivity to parts-per-billion (ppb) concentrations. Herein, we report a hierarchical ternary hybrid material, In<sub>2</sub>O<sub>3</sub>@ZnO@PPy, specifically designed for near-room temperature and light-assisted NO<sub>2</sub> detection. The collective synergistic effects arising from the hierarchical architecture, inter-semiconductor heterojunctions, and conductive polymer integration enable the In<sub>2</sub>O<sub>3</sub>@ZnO@PPy sensor to exhibit exceptional sensitivity to NO<sub>2</sub> at a low operating temperature of only 70 °C under blue-light excitation. The response value to 10 ppm NO<sub>2</sub> is as high as 221.4. The optimized sensor demonstrates an ultralow limit of detection of 50 ppb. More importantly, the hybrid exhibits remarkable humidity tolerance, maintaining high sensing performance even at 80% relative humidity. Surface wettability analysis suggests that PPy incorporation modulates the interfacial interaction with water molecules, which helps alleviate humidity-induced interference during NO<sub>2</sub> detection. The device further exhibits excellent repeatability, long-term stability, and strong selectivity against common interferents. These findings establish a light-assisted strategy for ppb-level gas sensing and provide a generalizable route for designing multifunctional hybrid materials for environmental monitoring and health diagnostics.</p>","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":" ","pages":"XXX"},"PeriodicalIF":9.1,"publicationDate":"2026-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147315715","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
Polymerization Time-Optimized Covalent Organic Framework for Ultrasensitive Ethylene Glycol Sensing. 聚合时间优化的超灵敏乙二醇传感共价有机框架。
IF 9.1 1区 化学 Q1 CHEMISTRY, ANALYTICAL Pub Date : 2026-02-27 DOI: 10.1021/acssensors.5c04155
Junxi Cheng, Chang Liu, Miaomiao Liu, Hewei Yang, Qihua Sun, Ting Li, Zhaofeng Wu

Ethylene glycol (C2H6O2) is a widely used yet toxic compound, requiring energy-efficient detection methods beyond prevalent high-temperature sensors. Here, an imine covalent organic framework (COF-TPC) was synthesized at room temperature (RT) using 2,4,6-trihydroxy-benzene-1,3,5-tricarbaldehyde (Tp) and 2,5-dichlorobenzene-1,4-diamine (Pa-Cl) as ligands, with acetic acid as a catalyst. The structure-property relationship was investigated by controlling Schiff base reaction time (1-70 h), yielding four sensors (COF-T-30, COF-T-40, COF-T-50, and COF-T-60) for testing. Gas sensing data revealed that the COF-T-50 sensor exhibited a response of 6107% to 500 ppm C2H6O2, significantly outperforming the other sensors. It also exhibited outstanding selectivity toward C2H6O2 among 13 gases, along with excellent repeatability and moisture resistance. DFT calculations elucidated the adsorption mechanism and the origin of its exceptional selectivity. This work provides a new approach for rapid, stable C2H6O2 detection using COFs, expanding their application scope.

乙二醇(C2H6O2)是一种广泛使用但有毒的化合物,需要比普遍的高温传感器更节能的检测方法。以2,4,6-三羟基苯-1,3,5-三乙醛(Tp)和2,5-二氯苯-1,4-二胺(Pa-Cl)为配体,乙酸为催化剂,在室温下合成了亚胺共价有机骨架(COF-TPC)。通过控制希夫碱反应时间(1-70 h),得到4个传感器(COF-T-30、COF-T-40、COF-T-50和COF-T-60)进行测试,研究了结构-性能关系。气体传感数据显示,COF-T-50传感器对500 ppm C2H6O2的响应率为6107%,明显优于其他传感器。在13种气体中对C2H6O2具有良好的选择性,同时具有良好的重复性和耐湿性。DFT计算阐明了吸附机理及其特殊选择性的来源。本工作为利用COFs快速、稳定地检测C2H6O2提供了新途径,扩大了COFs的应用范围。
{"title":"Polymerization Time-Optimized Covalent Organic Framework for Ultrasensitive Ethylene Glycol Sensing.","authors":"Junxi Cheng, Chang Liu, Miaomiao Liu, Hewei Yang, Qihua Sun, Ting Li, Zhaofeng Wu","doi":"10.1021/acssensors.5c04155","DOIUrl":"10.1021/acssensors.5c04155","url":null,"abstract":"<p><p>Ethylene glycol (C<sub>2</sub>H<sub>6</sub>O<sub>2</sub>) is a widely used yet toxic compound, requiring energy-efficient detection methods beyond prevalent high-temperature sensors. Here, an imine covalent organic framework (COF-TPC) was synthesized at room temperature (RT) using 2,4,6-trihydroxy-benzene-1,3,5-tricarbaldehyde (Tp) and 2,5-dichlorobenzene-1,4-diamine (Pa-Cl) as ligands, with acetic acid as a catalyst. The structure-property relationship was investigated by controlling Schiff base reaction time (1-70 h), yielding four sensors (COF-T-30, COF-T-40, COF-T-50, and COF-T-60) for testing. Gas sensing data revealed that the COF-T-50 sensor exhibited a response of 6107% to 500 ppm C<sub>2</sub>H<sub>6</sub>O<sub>2</sub>, significantly outperforming the other sensors. It also exhibited outstanding selectivity toward C<sub>2</sub>H<sub>6</sub>O<sub>2</sub> among 13 gases, along with excellent repeatability and moisture resistance. DFT calculations elucidated the adsorption mechanism and the origin of its exceptional selectivity. This work provides a new approach for rapid, stable C<sub>2</sub>H<sub>6</sub>O<sub>2</sub> detection using COFs, expanding their application scope.</p>","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":" ","pages":"XXX"},"PeriodicalIF":9.1,"publicationDate":"2026-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147300255","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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