ACS Sensors最新文献

{"title":"Correction to “Real-Time Monitoring of Trastuzumab Monoclonal Antibodies Using Electrochemical Aptamer-Based Sensors”","authors":"Wei Foo, Xieshi Zhang, S. Maya Vanichakorntanes, Ya-Chen Tsai, Jun-Chau Chien","doi":"10.1021/acssensors.6c03611","DOIUrl":"10.1021/acssensors.6c03611","url":null,"abstract":"","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"11 9","pages":"8708–8708"},"PeriodicalIF":10.9,"publicationDate":"2026-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148858440","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}

{"title":"Sub-2 nm Pt Clusters Boost Lattice Oxygen Activation in Ultrathin In2O3 Nanosheets for Ultrafast and Wide-Range Hydrogen Sensing","authors":"Tianrun Zheng,&nbsp;Ziyu Liu,&nbsp;Yi Lu,&nbsp;Hong Zhou,&nbsp;Kang Yang,&nbsp;Bin Zhou,&nbsp;Cancan Wang,&nbsp;Yueying Liu,&nbsp;Xishuang Liang,&nbsp;Geyu Lu,&nbsp;Fengmin Liu","doi":"10.1021/acssensors.6c02030","DOIUrl":"10.1021/acssensors.6c02030","url":null,"abstract":"<p>The safe deployment of hydrogen (H₂) as a clean fuel requires portable sensors capable of rapid, sensitive, and reliable H₂ detection over a wide concentration range. Loading noble metals on metal oxide semiconductors (MOS) is a promising route for enhance H₂ sensing; however, achieving high atomic utilization at low noble metal loading while simultaneously improving sensitivity remains challenging. Herein, sub-2 nm Pt clusters (&lt;2 nm) loading on ultrathin In₂O₃ nanosheet-aggregated hierarchical structures (Pt_sub-In₂O₃) are successfully prepared. The Pt_sub-In₂O₃-based sensor demonstrates an ultrafast response time of ∼1 s and a recovery time of ∼4 s, along with an exceptionally wide detection range spanning six orders of magnitude (0.2 ppm to 2% H₂), excellent selectivity, and outstanding long-term stability. Mechanistic investigations using H₂-TPR, X-ray absorption spectroscopy, and density functional theory calculations reveal that the sub-nanometer Pt clusters not only facilitate hydrogen spillover but also effectively activate the surface lattice oxygen of In₂O₃, which collectively account for the drastically enhanced sensing performance. This work demonstrates that atomic-scale engineering of noble metal clusters offers a viable pathway toward high-performance, practical gas sensors.</p>","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"11 9","pages":"8260–8271"},"PeriodicalIF":10.9,"publicationDate":"2026-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148858441","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}

{"title":"Real-Time Nanoscale Multiparametric Biophysical Phenotyping of Single Cells by Surface Plasmon Resonance Microscopy","authors":"Wenwen Jing,&nbsp;Yushi Gao,&nbsp;Xi Chen,&nbsp;Ying Fan,&nbsp;Wenjie Li,&nbsp;Guodong Sui,&nbsp;Guangzhong Ma,&nbsp;Xunjia Cheng","doi":"10.1021/acssensors.6c02096","DOIUrl":"10.1021/acssensors.6c02096","url":null,"abstract":"<p>How cell physical state relates to function and stimulus response remains difficult to resolve because most methods measure only one biophysical property at a time. Yet cellular behavior emerges from the interplay of features, including adhesion, morphology, and mechanical dynamics. Building on previous surface plasmon resonance microscopy (SPRM) and related plasmonic microscopy approaches, we developed an SPRM platform for label-free, real-time multiparametric phenotyping of single live cells. By probing the cell–substrate interface with nanometer-scale sensitivity, the platform jointly quantifies three complementary descriptors from the same time-resolved image sequence: adhesion-associated SPR intensity (<em>I</em>), contact area (<em>A</em>), and effective spring constant (<em>k</em>). Applied to <em>Entamoeba histolytica</em>, a highly deformable protozoan parasite, this approach resolved baseline physical states, drug-induced changes, and interaction-dependent responses to bacteria and other cells. Machine learning further classified early single-cell phenotypes relative to treatment-defined viable-reference and non-viable-reference groups. These results establish a label-free SPRM workflow for resolving early interface-associated phenotypic changes in cells during drug exposure and cell-interaction assays.</p>","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"11 9","pages":"8317–8327"},"PeriodicalIF":10.9,"publicationDate":"2026-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148890385","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}

{"title":"Implantable Graphene Fiber Sensor Functionalized with Enzyme-Mimicking Fe-Porphyrin for In Vivo Simultaneous Monitoring of NO and H2O2 in Cancer","authors":"Shanting Li,&nbsp;Kaiyuan Yao,&nbsp;Min Hu,&nbsp;Wei Huang,&nbsp;Dan Wang,&nbsp;Hengrui Zhang,&nbsp;Tengyun Chang,&nbsp;Fei Xiao,&nbsp;Anshun Zhao","doi":"10.1021/acssensors.6c02929","DOIUrl":"10.1021/acssensors.6c02929","url":null,"abstract":"<p>Nitric oxide (NO) and hydrogen peroxide (H₂O₂) are critical in redox homeostasis, cell signaling, and tumor progression, yet the simultaneous detection of both remains challenging due to their low concentrations and high reactivity. Herein, we developed an implantable, fully flexible electrochemical biosensor based on a Fe-porphyrin metal–organic framework (i.e., PCN-224(Fe)) for real-time monitoring of NO and H₂O₂ in complex biological environments. This platform employs PCN-224(Fe) with enzyme-mimicking activity as the catalytic material, combined with nitrogen and boron codoped graphene fiber as the freestanding and flexible microelectrode substrate. The resultant electrochemical sensor demonstrated outstanding performance, with detection limits of 3.0 nM for NO and 0.5 μM for H₂O₂, and sensitivities of 2.99 mA cm^–2 mM^–1 and 1.04 mA cm^–2 mM^–1, respectively. This performance surpasses most previously reported electrochemical sensors. The sensor also shows excellent selectivity and reproducibility, facilitating continuous monitoring of NO and H₂O₂ signals in the tumor microenvironment. The proposed fiber-based sensor enables <em>in situ</em>, real-time, continuous monitoring of NO and H₂O₂ in cancer cells, tissues, and living organisms, thereby effectively discriminating between cancerous and normal samples based on significantly elevated biomarker levels in malignant tissues. When implanted directly into living tissues, the sensing device captures dynamic biomarker fluctuations <em>in vivo</em> with high fidelity, offering a distinct advantage over traditional <em>in vitro</em> assays, which often introduce signal loss and concentration artifacts during sample processing. As a result, this approach provides a more accurate reflection of actual <em>in vivo</em> conditions and holds great promise for assessing tumor progression as well as monitoring therapeutic responses.</p>","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"11 9","pages":"8605–8616"},"PeriodicalIF":10.9,"publicationDate":"2026-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148944049","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}

{"title":"Overcoming Cross-Sensitivity for the Accurate Identification of Acetone, Isopropanol, and Clinical Mixtures Using a MEMS Dual-Sensor Array and Multi-task Deep Learning","authors":"Sihan Yin,Jiasheng Li,Guanxi Chen,Jianhao Li,Qiaoling Xing,Jin Li,Yichen Li,Wenxin Luo,Ming Zhang,Mingjie Li","doi":"10.1021/acssensors.6c02072","DOIUrl":"https://doi.org/10.1021/acssensors.6c02072","url":null,"abstract":"Abstract Accurate detection of exhaled acetone (ACE) and isopropanol (IPA) mixtures is critical for the non-invasive screening of diabetic ketoacidosis and the continuous monitoring of lipid metabolism in type 1 diabetes mellitus. However, the broad clinical application of this approach remains severely constrained by the inherent cross-sensitivity of metal oxide semiconductor (MOS) sensors. To address this, a microelectromechanical systems (MEMS) dual-sensor array integrating PdO-modified SnO2/ZnO and MoS2/ZIF-67 nanocomposites was developed for simultaneous gas identification and concentration regression. By pioneering the extraction of distinct transient thermokinetic responses of the materials, combined with a multi-task learning architecture featuring a 1D Convolutional Neural Network and a Bidirectional Long Short-Term Memory (CNN-BiLSTM) network, the system efficiently analyzed dynamic sensing data using a sliding time window (K). At an optimal 15-s window, the model demonstrated robust real-time predictive capabilities, achieving 95.4% classification accuracy and a regression mean absolute error (MAE) of 0.625 ppm across clinical IPA/ACE ratios. This deep learning-enabled framework circumvents traditional steady-state limitations, providing a scalable, low-power solution for precise clinical breathomics and metabolic disease screening.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"23 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2026-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149050172","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}

{"title":"A Fully Integrated Smart Facemask for Ultrafast and Humidity-Resistant Exhaled CO2 Monitoring","authors":"Xubin Zheng,&nbsp;Qingpeng Cao,&nbsp;Qiwen Yu,&nbsp;Libin Qian,&nbsp;Yaoxuan Cui,&nbsp;Mingming Li,&nbsp;Fenni Zhang,&nbsp;Chunlong Zhang,&nbsp;Di Wang","doi":"10.1021/acssensors.6c02178","DOIUrl":"10.1021/acssensors.6c02178","url":null,"abstract":"<p>Exhaled CO₂ monitoring offers critical insights into respiratory, cardiac, and metabolic functions. However, its broader adoption is hindered by the lack of compact, fast-responding, and humidity-resistant sensing systems capable of accurately tracking rapid breathing cycles in real time. Here, we present a fully integrated wireless facemask for continuous exhaled CO₂ monitoring that overcomes these challenges. We developed a nanocomposite colorimetric sensing material, mCP/ZIF-8-NH₂@fCOF, which possesses an ultrafast response time of 60 ms and a hydrophobic shell that mitigates humidity interference. By coupling its optical response with a convolutional neural network, the facemask can identify various breathing patterns with 94% accuracy and diagnose chronic obstructive pulmonary disease with 93% accuracy. Furthermore, the facemask has proven effective for exercise monitoring and sleep apnea detection. This nonintrusive, highly compact, and versatile device provides a practical pathway toward ubiquitous respiratory monitoring and personalized health management.</p>","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"11 9","pages":"8366–8376"},"PeriodicalIF":10.9,"publicationDate":"2026-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148785389","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}

{"title":"Humidity-Resistant Hydrogen Sulfide Sensor Based on Dense Tangled Gel Armor in Dynamic Environments","authors":"Zhiqiang Zhai,&nbsp;Xiaosong Du,&nbsp;Youyi Sun,&nbsp;Yin Long,&nbsp;Huiling Tai,&nbsp;Yadong Jiang","doi":"10.1021/acssensors.6c01798","DOIUrl":"10.1021/acssensors.6c01798","url":null,"abstract":"<p>Accurate detection of hydrogen sulfide in high-humidity environments is critical for applications ranging from oral pathology via breath analysis to industrial safety monitoring. However, conventional sensors suffer severe signal drift and electrode degradation under humidity above 90%, impeding reliable operation in real-world scenarios. Here, we present a self-powered, humidity-resistant sensor using a primary battery architecture coupled with a densely tangled hydrogel electrolyte. The sensing principle relies on non-faradaic adsorption-induced modulation of the Ag electrode potential. By precisely engineering polymer entanglement density, we create a hydrophobic gel armor that suppresses moisture penetration, confining signal drift to 14.68% at 95% relative humidity. This mechanism enables an ultra-low detection limit of 0.029 ppb, a high specificity of 98.7% against common interferents, and robust mechanical flexibility under 30% strain. The device integrates into portable, Bluetooth-enabled platforms for distributed monitoring across applications including clinical breath analysis, food spoilage detection, and underwater pipeline leak inspection.</p>","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"11 9","pages":"8190–8200"},"PeriodicalIF":10.9,"publicationDate":"2026-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148821785","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}

{"title":"Polymeric Probe for Sensitive Diagnosis of Serum Endothelial Cell Adhesion Molecules in Rheumatic Heart Disease","authors":"Ilana Teboul,&nbsp;Naama Shlush,&nbsp;Maya Droby,&nbsp;Yvonne Ventura,&nbsp;Robert A. Levine,&nbsp;Ayelet David","doi":"10.1021/acssensors.6c03085","DOIUrl":"10.1021/acssensors.6c03085","url":null,"abstract":"<p>Rheumatic fever is an immunologically mediated inflammatory disease that develops following group A streptococcal infection and triggers valvular inflammation that can progress to chronic rheumatic heart disease (RHD), a major cause of cardiovascular morbidity and mortality in low-resource countries. Early diagnosis remains critical for preventing irreversible valvular damage. Elevated levels of circulating endothelial cell adhesion molecules (CAM), particularly E-selectin; ICAM-1; and VCAM-1 have been associated with disease severity, highlighting their potential as diagnostic biomarkers. Here, we report on the development of a polymeric fluorescent probe based on N-(2-hydroxypropyl)methacrylamide (HPMA) for the sensitive detection of serum E-selectin and VCAM-1. The probe incorporates a high-affinity CAM-binding peptide (Esbp or Vbp), fluorescent reporters (FITC or IR783), and a hexa-histidine (His₆)-tag to enable plate surface immobilization. Polymers were synthesized with increasing IR783 molar content to induce fluorescence quenching at high dye loadings while preserving activation upon interaction with serum biomarkers. Their sensing performance was evaluated in both buffer and serum using fluorescence-based assays. Surface-immobilized probes demonstrated dose-dependent detection of labeled E-selectin and VCAM-1 in the microgram scale (1–10 µg/ml) in PBS. In serum, the probe exhibited specific and quantitative binding to E-selectin, while VCAM-1 binding was reduced, likely due to interference from abundant serum proteins. Optimization of IR783 content in the polymer revealed that 2.5 mol % dye loading enabled effective fluorescence activation upon interaction with E-selectin, whereas higher dye loadings led to self-quenching and reduced responsiveness, due to IR783-driven self-assembly that hindered signal activation at the tested biomarker concentrations. The optimized probe successfully detected E-selectin in spiked serum samples. This study demonstrates a simple, modular HPMA-based sensing platform for detecting circulating CAM that can be readily adapted to a broad range of serum biomarkers. By utilizing polymer-based probes that are inherently more stable and lower in cost than antibody-based reagents, the platform addresses key limitations of current diagnostics and offers a promising route toward affordable, rapid assays for RHD in low-resource settings. Further optimization may enhance sensitivity and expand biomarker coverage to improve clinical applicability.</p>","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"11 9","pages":"8650–8660"},"PeriodicalIF":10.9,"publicationDate":"2026-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148890436","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}

{"title":"CRISPR-Based Diagnostic Assay for Point-of-Care Detection of Methicillin-Resistant Staphylococcus aureus in patients with Bloodstream Infections","authors":"Hai-Qian Huang,&nbsp;Jun-Heng Zhang,&nbsp;Xie-Fei Hu,&nbsp;Jing-Song Xu,&nbsp;Yu Liu,&nbsp;Shuang Yang,&nbsp;Tian-Ming Li,&nbsp;Zi-Yue Zhu,&nbsp;Shun Li,&nbsp;Wei Li,&nbsp;Min Li,&nbsp;Hua Wang","doi":"10.1021/acssensors.6c01650","DOIUrl":"10.1021/acssensors.6c01650","url":null,"abstract":"<p>Methicillin-resistant <em>Staphylococcus aureus</em> (MRSA) is a leading cause of mortality in critically ill patients with bloodstream infections (BSIs). Timely diagnosis and early initiation of guideline-concordant antimicrobial therapy are independently associated with improved survival and reduced complication rates in patients with MRSA BSIs. However, current blood culture-based detection of MRSA requires 3–7 days for definitive identification and antimicrobial susceptibility reporting, entails numerous manual steps, and frequently delays the transition from empirical to pathogen-directed therapy, thereby affecting treatment outcomes and patient prognosis. Here, we present a highly sensitive and specific CRISPR-based diagnostic platform that shortens the MRSA detection time from &gt;70 h to ∼2 h—enabling true \"sample-to-result\" testing directly from whole blood at the point of care. This study develops a one-step RPA-CRISPR assay targeting the <em>S. aureus</em> nucA and mecA genes, with 10 copies/reaction sensitivity and no cross-reactivity. By integrating vancomycin-conjugated magnetic nanoparticles, a herringbone microfluidic chip, and a miniaturized wireless analyzer, the platform performs on-chip <em>S. aureus</em> capture, lysis-mediated DNA release, and dual-gene detection directly from whole blood. In a prospective, multicenter clinical evaluation of 350 hospitalized patients with suspected bacteremia, the HELP platform identified all 20 <em>S. aureus</em>-positive cases (including 8 MRSA-positive cases), demonstrating 100% positive percent agreement with blood culture. By delivering definitive MRSA identification in under 2 h, HELP markedly accelerates clinical decision-making, facilitates the timely initiation of targeted antimicrobial therapy, and holds strong potential for scalable deployment in primary care and resource-constrained settings.</p>","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"11 9","pages":"8134–8144"},"PeriodicalIF":10.9,"publicationDate":"2026-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148908765","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}

{"title":"Real-Time In Situ Imaging of Immunotherapy Efficacy: A DNA Nanowire-Based Biosensor for Granzyme A-Mediated APE1 Inactivation","authors":"Ziyue Qiu,&nbsp;Luyin Zhang,&nbsp;Yating Hou,&nbsp;Jing Peng,&nbsp;Ting Huang,&nbsp;Bin Sun,&nbsp;Jin-Xiang Chen,&nbsp;Zong Dai,&nbsp;Jun Chen","doi":"10.1021/acssensors.6c03016","DOIUrl":"10.1021/acssensors.6c03016","url":null,"abstract":"<p>Real-time monitoring of natural killer (NK) cell-mediated cancer immunotherapy efficacy at the cellular and organismal levels remains a critical challenge, primarily due to the ultra-low abundance of Granzyme A (GzmA) delivered into target cells, its rapid spatiotemporal dynamics, and the scarcity of suitable <em>in situ</em> imaging probes. Here, we present a DNA nanowire-based biosensor that leverages a spatially confined catalytic hairpin assembly (SCCHA) system for the real-time <em>in situ</em> imaging of immunotherapy efficacy, achieved by sensing GzmA-induced apurinic/apyrimidinic endonuclease 1 (APE1) inactivation. This biosensor integrates an APE1-responsive molecular beacon (MB) with a spatially organized CHA amplification circuit on a rigid DNA nanowire scaffold. In tumor cells with high endogenous APE1 activity, cleavage of the MB initiates a confined CHA reaction, yielding a strong fluorescence readout. Upon NK cell attack, delivered GzmA specifically inactivates intracellular APE1, thereby suppressing CHA signal amplification and producing a distinct fluorescence attenuation that dynamically visualizes NK cell cytotoxicity. Owing to the spatial confinement effect of the DNA nanowire, the biosensor achieved a 6.44-fold improvement in sensitivity over conventional free-diffusion CHA system. This platform enabled real-time visualization of NK cell−tumor cell interactions, and accurately reported NK cell cytotoxicity through GzmA-mediated APE1 inactivation. <em>In vivo</em> experiments further demonstrated its capability in evaluating immunotherapy efficacy. Collectively, this DNA nanowire-based biosensor provides a highly sensitive and reliable <em>in situ</em> imaging toolkit for evaluating cancer immunotherapy in real time, offering a promising translational approach for preclinical drug screening and personalized immunotherapeutic monitoring.</p>","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"11 9","pages":"8617–8628"},"PeriodicalIF":10.9,"publicationDate":"2026-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148965738","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}