ACS Sensors最新文献_第3页

AI-Enabled Mixed Potential Sensor Array for Complex VOC Mixture Decoding and Real-Time Methanol-Risk Assessment in Baijiu. 白酒中复杂挥发性有机化合物解码及实时甲醇风险评估的ai混合电位传感器阵列。

IF 10.9 1区化学

ACS Sensors Pub Date : 2026-10-16 DOI: 10.1021/acssensors.6c02752

Jiayao Du, Hanchi Shi, Xinyu Li, Yuanye Pan, Yan Lv, Haiyan Liu, Minghui Cao, Xishuang Liang, Tong Liu

{"title":"AI-Enabled Mixed Potential Sensor Array for Complex VOC Mixture Decoding and Real-Time Methanol-Risk Assessment in Baijiu.","authors":"Jiayao Du, Hanchi Shi, Xinyu Li, Yuanye Pan, Yan Lv, Haiyan Liu, Minghui Cao, Xishuang Liang, Tong Liu","doi":"10.1021/acssensors.6c02752","DOIUrl":"https://doi.org/10.1021/acssensors.6c02752","url":null,"abstract":"Accurate identification of complex gas mixtures in dynamic real-world environments is essential for environmental monitoring, food safety, and public health. However, these challenges arise mainly from overlapping response fingerprints of chemically similar hazardous analytes and the limited capability of conventional sensors to decouple multicomponent, concentration-coupled signals. Here, we report a ZnFe2O4/MoO3 mixed potential sensor array enabled by a material-device-algorithm co-design strategy. Through compositional engineering of the sensing electrodes, the array generates orthogonal cross-reactive fingerprints for six volatile organic compounds, with response fluctuation standard deviations of 0.47-2.43 mV across all analytes and a rapid response time of 12 s toward 100 ppm triethylamine. To address alcohol mixtures with strong competitive adsorption, including methanol, ethanol, and n-butanol, a CNN-BiLSTM spatiotemporal fusion model extracts multiscale features from dynamic sensing responses, enabling simultaneous mixture classification and concentration prediction. The system achieves recognition accuracies of 100 and 99.33% for the test set and independent validation set, respectively, with corresponding mean absolute errors of 1.61 and 1.62 ppm. We further extend this strategy to a portable Baijiu MeOH sensing platform for real-time methanol-risk assessment in complex liquor matrices, achieving above 98.89% accuracy in identifying samples exceeding the statutory limit. This work integrates interfacial electrochemical regulation, high-dimensional array sensing, deep-learning-enabled signal decoupling, and portable system implementation, offering a deployable route toward intelligent gas sensing in complex real-world environments.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":" ","pages":""},"PeriodicalIF":10.9,"publicationDate":"2026-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149206352","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

Dielectrophoresis-Assisted PVDF/DES/Au NP-Based Microfluidic ECL Biosensor for In Situ Detection of Extracellular Vesicles. 介电泳辅助PVDF/DES/Au np微流控ECL生物传感器原位检测细胞外囊泡

IF 10.9 1区化学

ACS Sensors Pub Date : 2026-10-16 DOI: 10.1021/acssensors.6c01896

Fangyan Ji, Peilin Wang, Yameng Li, Tiantian Sun, Qiang Ma

{"title":"Dielectrophoresis-Assisted PVDF/DES/Au NP-Based Microfluidic ECL Biosensor for In Situ Detection of Extracellular Vesicles.","authors":"Fangyan Ji, Peilin Wang, Yameng Li, Tiantian Sun, Qiang Ma","doi":"10.1021/acssensors.6c01896","DOIUrl":"https://doi.org/10.1021/acssensors.6c01896","url":null,"abstract":"Herein, a regenerable dielectrophoresis (DEP)-assisted microfluidic electrochemiluminescence (ECL) biosensor was developed for in situ detection of extracellular vesicles (EVs) in gastric cancer ascites. In the integrated microfluidic ECL sensor, a poly(vinylidene fluoride-co-hexafluoropropylene) (PVDF-HFP)/deep eutectic solvent (DES)/Au NP (PDES/Au NPs) self-supporting electrode was developed. The DES treatment increased the polar β-phase proportion in PVDF-HFP and improved its conductivity. Meanwhile, Au NPs deposited on the electrode surface amplified the ECL signal of Ru(bpy)32+/TPrA@SiO2 nanobeads through the localized surface plasmon resonance (LSPR) effect and generated an inhomogeneous electric field distribution for EV capture. Due to the DEP effect, the polarized EVs migrated and enriched on the PDES/Au NP electrode surface. As a result, the isolation time of EVs was reduced from 120 to 30 min. Consequently, the sensing platform effectively captured and detected EVs in gastric cancer ascites. The detection range was 1.0 × 101.6-1.0 × 105.3 particles μL-1, and the limit of detection was 9 particles μL-1. Moreover, a regenerative strategy was designed by controllably cleaving Au-S bonds on the self-supporting electrode. This developed microfluidic ECL biosensor achieved real-time quantification of low-concentration EVs in ascites, which established a promising analytical tool for gastric cancer diagnosis as well as the discrimination of peritoneal metastatic lesions.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":" ","pages":""},"PeriodicalIF":10.9,"publicationDate":"2026-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149206406","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

Cleavage Activity Adjustment of the CRISPR/Cas System for Enhanced Diagnostics. 用于增强诊断的CRISPR/Cas系统的裂解活性调节。

IF 10.9 1区化学

ACS Sensors Pub Date : 2026-10-15 DOI: 10.1021/acssensors.6c02837

Yining Zhao, Panpan Qiao, Min Yang, Ling Chen, Juan Zhang, Genxi Li

{"title":"Cleavage Activity Adjustment of the CRISPR/Cas System for Enhanced Diagnostics.","authors":"Yining Zhao, Panpan Qiao, Min Yang, Ling Chen, Juan Zhang, Genxi Li","doi":"10.1021/acssensors.6c02837","DOIUrl":"https://doi.org/10.1021/acssensors.6c02837","url":null,"abstract":"The CRISPR/Cas system, known for its high precision and efficiency in genome editing, has garnered significant interest and demonstrated potential in diagnostics, owing to advantages such as sensitivity and cost-effectiveness. However, the application of the CRISPR/Cas system in diagnostics is constrained by two inherent challenges. On one hand, the sensitivity of the CRISPR/Cas system for the direct detection of low-abundance targets remains to be further improved for the demands of practical detection. On the other hand, the integration of nucleic acid amplification with the CRISPR/Cas system in one-pot assays presents difficulty of balance between target amplification and cleavage of Cas proteins. To overcome these constraints, researchers have encouragingly developed diverse strategies for precisely adjusting the cleavage activity of the CRISPR/Cas system. This review systematically summarizes advancements across six major strategies, including protein engineering, crRNA engineering, activator engineering, reporter engineering, the influence of metal ions and small molecules, and aggregation-mediated enhancement. These approaches either enhance cleavage efficiency for amplification-free, ultrasensitive detection, or temporarily suppress the cleavage activity to coordinate kinetics in integrated one-pot systems. Furthermore, future perspectives are discussed, which will contribute to the development of cleavage activity adjustment of the CRISPR/Cas system, providing insights for next-generation diagnostic technologies.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":" ","pages":""},"PeriodicalIF":10.9,"publicationDate":"2026-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149177961","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

Dual-Function Microneedle Patch for Retinyl Acetate Delivery and Lactate Sensing in Skincare Management. 双功能微针贴片，用于皮肤护理管理中视黄醇醋酸酯输送和乳酸传感。

IF 10.9 1区化学

ACS Sensors Pub Date : 2026-10-15 DOI: 10.1021/acssensors.6c03353

Tingting Wu, Guozhen Liu

{"title":"Dual-Function Microneedle Patch for Retinyl Acetate Delivery and Lactate Sensing in Skincare Management.","authors":"Tingting Wu, Guozhen Liu","doi":"10.1021/acssensors.6c03353","DOIUrl":"https://doi.org/10.1021/acssensors.6c03353","url":null,"abstract":"Closed-loop skin health management that integrates real-time diagnostic feedback with on-demand therapeutic delivery remains a critical unmet challenge in precision dermatology. Here, a smart core-shell microneedle (MN) patch is developed for bidirectional skin intervention: simultaneous delivery of retinyl acetate (RA) therapy and in situ monitoring of interstitial fluid (ISF) lactate as a metabolic biomarker. RA is first encapsulated in hydroxypropyl-β-cyclodextrin (HPβCD) inclusion complexes via a rapid ultrasonic method to enhance solubility and stability. The MN patch features a mechanically robust polyvinyl alcohol/sodium hyaluronate (PVA/SH) shell for effective stratum corneum penetration and a hyaluronic acid-based core loaded with RA@HPβCD, type I collagen, and chitosan for synergistic anti-aging and anti-acne effects. The MN patch delivers RA to remodel the dermal matrix while continuously extracting ISF, enabling on-site quantitative analysis of lactate as a metabolic feedback indicator of skin status-elevated lactate signals skin hypoxia or inflammation, prompting timely RA action. This integrated platform thereby establishes a closed-loop system coupling therapeutic intervention with diagnostic assessment. This smart MN patch offers a promising strategy for precision skin care and holds potential for managing diverse dermatological conditions requiring dynamically adjustable therapy.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":" ","pages":""},"PeriodicalIF":10.9,"publicationDate":"2026-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149190224","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

Deep Learning and Domain Expertise for Fabricating High-Performance Biosensors. 制造高性能生物传感器的深度学习和领域专业知识。

IF 10.9 1区化学

ACS Sensors Pub Date : 2026-10-15 DOI: 10.1021/acssensors.6c01075

Mei-Ling Xiao, Pengcheng Zhang, Zhijie Li, Nuo-Qiao Lin, Xiaowo Wang, Jian-Zhong Liu

{"title":"Deep Learning and Domain Expertise for Fabricating High-Performance Biosensors.","authors":"Mei-Ling Xiao, Pengcheng Zhang, Zhijie Li, Nuo-Qiao Lin, Xiaowo Wang, Jian-Zhong Liu","doi":"10.1021/acssensors.6c01075","DOIUrl":"https://doi.org/10.1021/acssensors.6c01075","url":null,"abstract":"Transcription factor-based biosensors are essential for the scalable bioproduction of plant natural products. However, a major bottleneck in developing high-performance biosensors is the engineering of responsive promoters due to the vast sequence space and poorly understood sequence-function relationships. Here, we extend our previously published DeepSEED framework into an artificial intelligence-driven pipeline for efficient and extensible biosensor-responsive promoter optimization. This strategy integrates deep learning with domain-specific biological expertise. By fixing core promoter elements, varying the number and position of transcription factor binding sites (TFBSs) to define promoter backbones, and subsequently optimizing the flanking sequences, we enable the de novo design of promoters. We systematically apply this strategy to optimize a panel of biosensors across different transcription factors and regulatory modes, including four metabolite-responsive biosensors and a quorum-sensing-based environmental sensor. The resulting biosensors exhibit diverse dynamic behaviors with markedly improved sensitivity, expanded dynamic range, and increased maximum output. For instance, the optimized naringenin biosensor demonstrates a 32-fold broader dynamic range and a 27-fold higher maximum output compared to its parent. To illustrate its utility in metabolic engineering, we employed a DeepSEED-designed promoter to dynamically regulate a p-coumaric acid biosynthesis pathway, boosting production by 117.0%. Our work extends the previously published DeepSEED framework into a powerful pipeline for biosensor optimization and delivers a portfolio of high-performance regulatory elements, addressing a critical need and facilitating the development of more intelligent and productive metabolic engineering systems.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":" ","pages":""},"PeriodicalIF":10.9,"publicationDate":"2026-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149190192","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

Microfluidic Focusing of Heterogeneous Bacterial Immunocomplexes for Reproducible SERS Immunoassays. 异质细菌免疫复合物的微流控聚焦可重复SERS免疫分析。

IF 10.9 1区化学

ACS Sensors Pub Date : 2026-10-15 DOI: 10.1021/acssensors.6c03516

Xiangdong Yu, Kihyun Kim, Beomseok Cha, Hyun-Uk Kim, Jinsoo Park, Thanh Mien Nguyen, Jaebum Choo

{"title":"Microfluidic Focusing of Heterogeneous Bacterial Immunocomplexes for Reproducible SERS Immunoassays.","authors":"Xiangdong Yu, Kihyun Kim, Beomseok Cha, Hyun-Uk Kim, Jinsoo Park, Thanh Mien Nguyen, Jaebum Choo","doi":"10.1021/acssensors.6c03516","DOIUrl":"https://doi.org/10.1021/acssensors.6c03516","url":null,"abstract":"Magnetic bead-based surface-enhanced Raman scattering (SERS) immunoassays enable sensitive and multiplexed bacterial detection. However, bacterial targets form heterogeneous magnetic bead-bacterium-SERS nanotag immunocomplexes that vary in size, morphology, and nanotag loading. In static capillary-based measurements, different numbers of heterogeneous immunocomplexes are therefore located within the laser focal volume at each measurement position, resulting in large signal fluctuations and poor measurement reproducibility. In this study, we developed an elasto-inertial microfluidic platform that enables three-dimensional focusing of bacterial immunocomplexes for reproducible quantitative SERS measurements. Bacterial immunocomplexes suspended in 0.5% (w/v) poly(ethylene oxide) were focused near the center of a straight microchannel and continuously passed through a fixed Raman measurement region. High-speed imaging and cross-sectional Raman mapping confirmed central focusing of the immunocomplexes in both the lateral and vertical directions. Compared with static capillary-based measurements, the coefficient of variation decreased from 41.17% to 7.85% for Staphylococcus aureus and from 64.62% to 6.42% for Pseudomonas aeruginosa. The corresponding R2 values increased from 0.857 to 0.985 and from 0.680 to 0.971, respectively. The corresponding limits of detection were 2.32 × 104 CFU/mL for Staphylococcus aureus and 8.50 × 104 CFU/mL for Pseudomonas aeruginosa. The same focusing strategy was further applied to simultaneous detection of the two bacterial targets using spectrally distinguishable Raman reporters. These results demonstrate that three-dimensional elasto-inertial focusing provides an effective approach for improving the reproducibility of quantitative single- and multiplex bacterial SERS immunoassays.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":" ","pages":""},"PeriodicalIF":10.9,"publicationDate":"2026-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149190220","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

Raman-Grounded Deep Learning for Calcium Carbonate Polymorph Sensing during Microfluidic Biomineralization. 微流体生物矿化过程中基于拉曼的碳酸钙多晶传感深度学习。

IF 10.9 1区化学

ACS Sensors Pub Date : 2026-10-15 DOI: 10.1021/acssensors.6c01924

Brooke E Filanoski, David Erickson

{"title":"Raman-Grounded Deep Learning for Calcium Carbonate Polymorph Sensing during Microfluidic Biomineralization.","authors":"Brooke E Filanoski, David Erickson","doi":"10.1021/acssensors.6c01924","DOIUrl":"https://doi.org/10.1021/acssensors.6c01924","url":null,"abstract":"Microbially induced calcium carbonate precipitation (MICP) in microfluidic systems produces spatially and temporally heterogeneous precipitates whose polymorph composition governs material outcomes but is difficult to monitor non-destructively in situ. We present a Raman-grounded deep learning framework that decouples spectroscopic labeling from optical inference: each Raman spectrum is matched to an individually segmented crystal instance, and a five-channel EfficientNet-B0 classifier trained on these per-instance labels assigns polymorph identity to the remaining crystals from brightfield and polarized light alone. Trained on 550 Raman-labeled instances and applied across 5123 segmented crystals spanning five experimental datasets, the framework achieved 97.3% test accuracy across three polymorph classes-calcite, early-stage vaterite, and late-stage vaterite-at individual-crystal resolution. Late-stage vaterite emerged as a third optically distinct class, identified from 48 h imaging and confirmed by Raman to retain vaterite phase identity despite its altered optical signature. The framework resolved systematic effects of solution composition, bacterial density, pH, and time on polymorph composition and captured the dissolution of vaterite toward a calcite-dominated state within a single device. Operating at individual-crystal resolution across heterogeneous crystal populations without requiring droplet confinement, the approach provides a practical route to non-destructive polymorph monitoring in MICP and living building materials applications.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":" ","pages":""},"PeriodicalIF":10.9,"publicationDate":"2026-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149190222","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

Integrated Viscoelastic Microfluidics for Label-Free Separation and Concentration of Circulating Tumor Cells. 集成粘弹性微流体技术用于循环肿瘤细胞的无标记分离和浓缩。

IF 10.9 1区化学

ACS Sensors Pub Date : 2026-10-15 DOI: 10.1021/acssensors.6c02705

Qing Lu, Zhuoran Zhao, Jun Wang, Xiumei Ma, Shuxin Gao, Lai Jiang, Zhinan Zhang, Xianting Ding

{"title":"Integrated Viscoelastic Microfluidics for Label-Free Separation and Concentration of Circulating Tumor Cells.","authors":"Qing Lu, Zhuoran Zhao, Jun Wang, Xiumei Ma, Shuxin Gao, Lai Jiang, Zhinan Zhang, Xianting Ding","doi":"10.1021/acssensors.6c02705","DOIUrl":"https://doi.org/10.1021/acssensors.6c02705","url":null,"abstract":"Developing advanced instrumentation systems for the automated, precise isolation of target circulating tumor cells (CTCs) from blood, followed by molecular marker analysis, stands as a pivotal trend in the field of liquid biopsy. However, current isolation technologies typically rely on subsequent centrifugation steps to enrich CTC samples for downstream assays, such as single-cell western blotting (scWB), creating challenges for developing integrated systems. Here, we present an integrated viscoelastic microfluidic system (IVEM) that leverages viscoelastic fluids to automatically separate and concentrate CTCs. The IVEM includes a CTC separation module (CSM) for high-purity isolation and a CTC concentration module (CCM) to remove excess cell suspension. To clarify the working mechanism, particle migration behavior is systematically analyzed through theoretical modeling and numerical simulations and validated by polystyrene (PS) particle experiments. The performance of the IVEM is evaluated through separation experiments using blood samples spiked with MCF-7 cells. The processing throughput, purity, recovery rate, and concentration factor of MCF-7 cells reach 1.82 mL·h-1, 82.13 ± 2.87, 81.30 ± 4.72, and 4.26 ± 0.92%, respectively. The IVEM enables label-free, continuous on-chip enrichment of separated CTCs without additional off-chip processing. This integration facilitates future incorporation of other functional modules, such as high performance single-cell capture, into liquid biopsy systems, thereby further enhancing the clinical applicability of technologies such as scWB.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":" ","pages":""},"PeriodicalIF":10.9,"publicationDate":"2026-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149190271","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

Pd-Sensitized SnO2@WO3 Nanosheets via Cluster-Nucleus Coassembly: Enhanced Hydrogen Spillover for High-Efficiency H2 Sensing. pd敏化SnO2@WO3纳米片通过簇核共组装：增强氢溢出高效氢传感。

IF 10.9 1区化学

ACS Sensors Pub Date : 2026-10-14 DOI: 10.1021/acssensors.6c02744

Tao Xu, Jinwu Hu, Jintao Li, Zhijie Song, Zijun Hong, Zihan Wang, Jingcheng Xu, Kaiping Yuan, Ding Wang

{"title":"Pd-Sensitized SnO2@WO3 Nanosheets via Cluster-Nucleus Coassembly: Enhanced Hydrogen Spillover for High-Efficiency H2 Sensing.","authors":"Tao Xu, Jinwu Hu, Jintao Li, Zhijie Song, Zijun Hong, Zihan Wang, Jingcheng Xu, Kaiping Yuan, Ding Wang","doi":"10.1021/acssensors.6c02744","DOIUrl":"https://doi.org/10.1021/acssensors.6c02744","url":null,"abstract":"The risk of hydrogen explosions in industrial and hydrogen energy facilities presents serious safety threats. An inherent trade-off between response magnitude and response/recovery kinetics plagues chemiresistive H2 sensors: monocomponent materials are incapable of concurrently realizing high-efficiency H2 activation and ultrafast gas-solid interfacial charge transfer/desorption. Herein, we synthesized SnO2@WO3 hexagonal nanosheets via hydrothermal cluster-nucleus coassembly and decorated them with Pd nanoparticles by wet-chemical reduction. The Pd/SnO2@WO3 sensor exhibits a response (Rair/Rgas) of 22.4 toward 1000 ppm H2 at 220 °C, along with response/recovery times as short as 1.4/3.2 s, and a detection limit as low as 200 ppb. The enhanced sensing performance originates from the coupling of preferential H2 dissociation on Pd with efficient migration and conversion of active hydrogen at the defect-rich SnO2@WO3 heterointerface, which accelerates interfacial oxygen consumption and electron reinjection. A backpropagation artificial neural network (BP-ANN) regression model enables high-precision quantification of single-channel H2 signals; the sensor is integrated into a wearable printed circuit board (PCB) module for H2 leakage warning. These results show this material platform is suitable for wearable hydrogen safety monitoring in real-world environments.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":" ","pages":""},"PeriodicalIF":10.9,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149177959","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

Blood Cell Biophysical Trajectories Reveal Response to CAR-T Therapy in Diffuse Large B-Cell Lymphoma. 血细胞生物物理轨迹揭示CAR-T治疗对弥漫性大b细胞淋巴瘤的反应。

IF 10.9 1区化学

ACS Sensors Pub Date : 2026-10-14 DOI: 10.1021/acssensors.6c03294

Seongcheol Park, Hyeon Ji Cho, Youngho Song, Joo Hyun Kim, Changyu Tian, Changi Baek, Sujin Hyung, Yong Jae Shin, Sang Eun Yoon, Soo-Yeon Cho

{"title":"Blood Cell Biophysical Trajectories Reveal Response to CAR-T Therapy in Diffuse Large B-Cell Lymphoma.","authors":"Seongcheol Park, Hyeon Ji Cho, Youngho Song, Joo Hyun Kim, Changyu Tian, Changi Baek, Sujin Hyung, Yong Jae Shin, Sang Eun Yoon, Soo-Yeon Cho","doi":"10.1021/acssensors.6c03294","DOIUrl":"https://doi.org/10.1021/acssensors.6c03294","url":null,"abstract":"Although chimeric antigen receptor T-cell (CAR-T) therapy has substantially improved outcomes in diffuse large B-cell lymphoma (DLBCL), disease relapse remains a major clinical challenge. Because treatment-associated immune remodeling evolves dynamically over time, complementary biomarkers capable of longitudinally monitoring immune-cell state changes are needed to evaluate therapeutic response and relapse following CAR-T therapy. In this study, we developed a label-free, high-throughput image cytometry platform for longitudinal, multiparametric profiling of peripheral blood mononuclear cells (PBMCs) collected from a cohort of 17 DLBCL patients undergoing CAR-T therapy. Using bright-field single-cell imaging, we quantified four representative biophysical parameters, including cell size, eccentricity, refractive index, and mean pixel intensity, from PBMC populations at base and post-treatment time points. These parameters were analyzed at both population and patient levels to characterize treatment-associated remodeling trajectories and biophysical heterogeneity. Static comparisons revealed population-level biophysical differences between the 10 relapsed (R) and 7 nonrelapsed (NR) patients. Longitudinal and patient-level analyses, performed by tracking serial PBMC samples collected from the same patients across treatment time points, demonstrated that treatment outcome was associated with coordinated remodeling trajectories in NR patients and greater patient-specific heterogeneity in R patients. Patient-level effect size and heterogeneity analyses further demonstrated that relapse was associated with altered remodeling dynamics that were not apparent from population-averaged measurements alone. These findings demonstrate that longitudinal biophysical profiling of PBMCs enables quantitative monitoring of treatment-associated immune remodeling and provides a complementary biomarker for assessing therapeutic response following CAR-T therapy.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":" ","pages":""},"PeriodicalIF":10.9,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149177987","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