Sensors and Actuators B: Chemical最新文献_第5页

Confined Enzyme Probe-Enhanced PER-Cas12a Chemiluminescence Biosensor for Ultrasensitive Detection of Soluble PD-L1 in Serum 限制性酶探针增强的PER-Cas12a化学发光生物传感器用于血清中可溶性PD-L1的超灵敏检测

IF 8.4 1区化学

Sensors and Actuators B: Chemical Pub Date : 2025-07-13 DOI: 10.1016/j.snb.2025.138322

Lanlang Peng, Linshan Jiang, Ying jiang, Tao Liu, Yan You, Shijia Ding, Jiangling Wu, Weixian Chen, Xiaojuan Ding

{"title":"Confined Enzyme Probe-Enhanced PER-Cas12a Chemiluminescence Biosensor for Ultrasensitive Detection of Soluble PD-L1 in Serum","authors":"Lanlang Peng, Linshan Jiang, Ying jiang, Tao Liu, Yan You, Shijia Ding, Jiangling Wu, Weixian Chen, Xiaojuan Ding","doi":"10.1016/j.snb.2025.138322","DOIUrl":"https://doi.org/10.1016/j.snb.2025.138322","url":null,"abstract":"Circulating soluble programmed death ligand 1 (sPD-L1), a critical immunomodulatory molecule, holds significant value for early tumor diagnosis, directing immunotherapy, and monitoring prognosis. In this study, we developed an ultra-sensitive and programmable confined enzyme probe-enhanced PER-Cas12a chemiluminescence (CEP-EPC) platform for detecting sPD-L1. This system initiates the trans-cleavage activity of Cas12a via aptamer-targeted recognition of sPD-L1 and a cascade primer exchange reaction (PER). Then, the activated Cas12a cyclically cleaves single-stranded DNA (ssDNA) on the confined enzyme probe, resulting in the release of HRP-labeled ssDNA. Following magnetic separation, the presence of HRP in the homogeneous solution markedly amplifies the chemiluminescence signal in the luminol-hydrogen peroxide (H2O2) system. The constructed sensor exhibits a linear range from 5 to 5 × 103 pg/mL, with a detection limit as low as 1.02 pg/mL. The analytical performance of the developed sensor was validated using 6 cell lines and 112 clinical test samples. Receiver operating characteristic (ROC) curve analysis demonstrated that the strategy could effectively distinguish tumor patients from healthy donors: non-small cell lung cancer (NSCLC, AUC = 0.8750), gastric cancer (AUC = 0.9325), pancreatic cancer (AUC = 0.9725), and breast cancer (AUC = 0.8500). Notably, a significant positive correlation (r = 0.6444, p < 0.0500) was observed between tissue PD-L1 expression and serum sPD-L1 levels in a cohort of 12 NSCLC patients, suggesting the potential application of this strategy in guiding PD-1/PD-L1 immune checkpoint blockade therapies. Collectively, these findings establish the CEP-EPC platform as a robust and promising tool for precision oncology.","PeriodicalId":425,"journal":{"name":"Sensors and Actuators B: Chemical","volume":"145 1","pages":""},"PeriodicalIF":8.4,"publicationDate":"2025-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144612859","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

Ratiometric SERS nanoprobe for ferroptosis monitoring in drug-induced liver injury via accurate detection of hydrogen peroxide in endoplasmic reticulum 比例SERS纳米探针通过准确检测内质网过氧化氢监测药物性肝损伤中的铁下垂

IF 8.4 1区化学

Sensors and Actuators B: Chemical Pub Date : 2025-07-13 DOI: 10.1016/j.snb.2025.138306

Hailan Jia, Fengxian Wang, Chi Wang, Dong Wang, Chunyuan Zhang, Xuerui Fu, Keying Zhao, Jia Zhang, Lijia Liang, Yanting Shen

{"title":"Ratiometric SERS nanoprobe for ferroptosis monitoring in drug-induced liver injury via accurate detection of hydrogen peroxide in endoplasmic reticulum","authors":"Hailan Jia, Fengxian Wang, Chi Wang, Dong Wang, Chunyuan Zhang, Xuerui Fu, Keying Zhao, Jia Zhang, Lijia Liang, Yanting Shen","doi":"10.1016/j.snb.2025.138306","DOIUrl":"https://doi.org/10.1016/j.snb.2025.138306","url":null,"abstract":"Drug-induced liver injury (DILI) is a major liver dysfunction commonly caused by excessive or long-term administration of hepatotoxic drugs. The initiation and development of DILI have been closely related to ferroptosis. Revealing the internal relationship between ferroptosis and DILI is beneficial for the early diagnosis and therapy of DILI. Herein, a unique ratiometric surface-enhanced Raman scattering (SERS) nanoprobe was developed to explore the association between DILI and ferroptosis based on the variations of hydrogen peroxide (H2O2) in endoplasmic reticulum (ER). The SERS nanoprobe is composed of an ER-targeting peptide and an H2O2-responsive Raman reporter (3-mercaptophenylboronic acid), which shows a remarkable ratiometric SERS change (I1071/998) for H2O2 with high selectivity and sensitivity. Using the nanoprobe, the dynamic alterations of H₂O₂ levels in ER within hepatocytes were successfully tracked throughout both the induction and inhibition of ferroptosis. Moreover, the complex interplay between ferroptosis and DILI in both cellular and murine models were elucidated. Complemented by Western blot analysis, the possible therapeutic effect of ferroptosis inhibition on DILI was confirmed by improving the Xc-/GSH/GPX4 antioxidant system. This study presents a novel approach for studying the relationship between ferroptosis and liver injury, thereby advancing DILI diagnosis and treatment.","PeriodicalId":425,"journal":{"name":"Sensors and Actuators B: Chemical","volume":"14 1","pages":""},"PeriodicalIF":8.4,"publicationDate":"2025-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144613019","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 Novel Peptide Multimer for Enhanced Imaging and Multivalent Detection of Hepatocellular Carcinoma 一种用于增强肝细胞癌成像和多价检测的新型多肽多聚体

IF 8.4 1区化学

Sensors and Actuators B: Chemical Pub Date : 2025-07-13 DOI: 10.1016/j.snb.2025.138310

Shuo Feng, Xiaoli Wu, Eun-Young K. Choi, Tse-Shao Chang, Ruoliu Zhang, Sangeeta Jaiswal, Yuting Duan, Hui Jiang, Thomas D. Wang

{"title":"A Novel Peptide Multimer for Enhanced Imaging and Multivalent Detection of Hepatocellular Carcinoma","authors":"Shuo Feng, Xiaoli Wu, Eun-Young K. Choi, Tse-Shao Chang, Ruoliu Zhang, Sangeeta Jaiswal, Yuting Duan, Hui Jiang, Thomas D. Wang","doi":"10.1016/j.snb.2025.138310","DOIUrl":"https://doi.org/10.1016/j.snb.2025.138310","url":null,"abstract":"The global incidence of hepatocellular carcinoma (HCC) is rising steadily, yet early detection methods remain a major clinical challenge due to genetic heterogeneity and variable target expression in these tumors. Conventional imaging approaches rely on non-specific or single targets, and often fail to achieve sufficient sensitivity or specificity, in particular, for early stage disease. A peptide multimer capable of simultaneously targeting 3 early HCC targets, including GPC3, CD44, and EpCAM, using a single biochemical construct was demonstrated. The multimer was labeled with either Cy5.5 for fluorescence imaging or Gd-DOTA for MRI to enable dual-modality detection. In vitro analysis using patient-derived HCC cell lines and organoids, and demonstrated significantly enhanced binding kinetics and affinity, including a 2.6-fold increase in fluorescence intensity and a 2.18-fold faster association rate compared with individual monomers. In vivo MRI in orthotopic patient-derived xenograft (PDX) models, both with and without cirrhosis, showed a peak tumor-to-background ratio of 3.05 at 0.5 hours post-injection and rapid renal clearance by about 4 hours. Ex vivo immunofluorescence of human liver specimens yielded 87% sensitivity and 80% specificity for distinguishing HCC from cirrhosis. These findings highlight multimer potential as a clinically translatable platform to improve early HCC diagnosis via enhanced molecular imaging.","PeriodicalId":425,"journal":{"name":"Sensors and Actuators B: Chemical","volume":"694 1","pages":""},"PeriodicalIF":8.4,"publicationDate":"2025-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144612803","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

Systematic Optimisation of an Integrated Electrochemical Aptamer-Based Sensor for Cortisol Detection 基于配体的集成电化学皮质醇检测传感器的系统优化

IF 8.4 1区化学

Sensors and Actuators B: Chemical Pub Date : 2025-07-13 DOI: 10.1016/j.snb.2025.138284

Sondes Ben Aissa, Anthony Edward George Cass

{"title":"Systematic Optimisation of an Integrated Electrochemical Aptamer-Based Sensor for Cortisol Detection","authors":"Sondes Ben Aissa, Anthony Edward George Cass","doi":"10.1016/j.snb.2025.138284","DOIUrl":"https://doi.org/10.1016/j.snb.2025.138284","url":null,"abstract":"This paper presents the development of a self-contained electrochemical aptamer-based (EAB) sensor for cortisol detection, addressing the growing need for rapid, reliable stress hormone monitoring. Built on an integrated three-electrode system, our sensor employs a 14-mer truncated cortisol aptamer, strategically selected for its enhanced binding affinity and structure-switching capability upon cortisol interaction, offering significant advantages over its 61-mer parent sequence. The sensor design combines computational analysis of aptamer-cortisol interactions with experimental validation using methylene blue (MB)-labelled aptamers on a thin-layer gold electrode platform. Notably, we implemented a systematic two-stage design of experiments (DOE) approach - optimising critical factors including aptamer density, and fabrication conditions - a methodology rarely applied in EAB sensor development. Under optimised conditions, cortisol quantification was achieved through differential pulse voltammetry (DPV) peak current measurements, yielding a practical detection range of 10-500 nM with a remarkable limit of detection of 4.6 nM, suitable for physiologically relevant cortisol monitoring. The successful integration of computational design, systematic optimisation, and a simplified sensor architecture demonstrates a robust approach for developing high-performance, ready-to-use biosensors, providing a valuable template for future point-of-care diagnostic platforms.","PeriodicalId":425,"journal":{"name":"Sensors and Actuators B: Chemical","volume":"3 1","pages":""},"PeriodicalIF":8.4,"publicationDate":"2025-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144613018","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

Polyoxometalates Mediated-Bismuth Molybdate Type II Heterostructure Chemiresistor for Efficient Triethylamine Detection 高效检测三乙胺的多金属氧酸盐-钼酸铋II型异质结构化学电阻器

IF 8.4 1区化学

Sensors and Actuators B: Chemical Pub Date : 2025-07-12 DOI: 10.1016/j.snb.2025.138320

Miao He, Ying Yang, Feng Li, Dan Li, Hui Yu, Siqi Bao, Xiangting Dong, Tianqi Wang

{"title":"Polyoxometalates Mediated-Bismuth Molybdate Type II Heterostructure Chemiresistor for Efficient Triethylamine Detection","authors":"Miao He, Ying Yang, Feng Li, Dan Li, Hui Yu, Siqi Bao, Xiangting Dong, Tianqi Wang","doi":"10.1016/j.snb.2025.138320","DOIUrl":"https://doi.org/10.1016/j.snb.2025.138320","url":null,"abstract":"Bi2MoO6 (BMO) has potential applications in gas sensors due to its special molybdate lattice structure and high specific surface area, multiple active sites, the abundance of oxygen vacancies on its surfaces. However, sensing performances of BMO are limited by high carriers recombination phenomenon. For the past few years, polyoxometalates (POMs) have been proved as electron acceptors which can promote electron migration and improve sensing performance of semiconductors. In this study, we modified phosphotungstic acid (PW12) into BMO gas-sensitive materials for the first time via hydrothermal method. By reducing the electron-hole recombination probability, the original gas-sensitive performance of BMO can be efficiently enhanced. As a result, the optimal composite nanoflowers sensor (BMO/3%PW12) showed high response of 2.67 to 100 ppm triethylamine (TEA) gas. Compared to pure BMO sensor, the sensitivity of BMO/3%PW12 is 1.9 times higher with accelerated response and recovery speed. It also exhibits good linearity and a low theoretical detection limit of 0.2 ppm. Meanwhile, the stability, and reproducibility of the sensors were tested and comparatively analyzed. In this paper, an innovative strategy is proposed to develop BMO-based gas sensors with high sensitivity by introducing POMs as electron acceptors.","PeriodicalId":425,"journal":{"name":"Sensors and Actuators B: Chemical","volume":"6 1","pages":""},"PeriodicalIF":8.4,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144611478","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

Synchronised regulation of the hydrophilicity and microstructure of CNT/PANI film electrodes ensure electrochemical ionic actuators with ultra-long cycle performance 碳纳米管/聚苯胺膜电极的亲水性和微观结构的同步调节确保了电化学离子致动器具有超长循环性能

IF 8.4 1区化学

Sensors and Actuators B: Chemical Pub Date : 2025-07-12 DOI: 10.1016/j.snb.2025.138276

Nan Zhang, Weixing Feng, Guangyao Hu, Meng Zhao, Jie Ru, Yanjie Wang

{"title":"Synchronised regulation of the hydrophilicity and microstructure of CNT/PANI film electrodes ensure electrochemical ionic actuators with ultra-long cycle performance","authors":"Nan Zhang, Weixing Feng, Guangyao Hu, Meng Zhao, Jie Ru, Yanjie Wang","doi":"10.1016/j.snb.2025.138276","DOIUrl":"https://doi.org/10.1016/j.snb.2025.138276","url":null,"abstract":"Electrochemical ion actuators (ECIAs), a novel soft smart robotics technology, can effectively convert electrical energy into mechanical energy via electrochemically induced ion migration. The behaviors of ECIAs mainly depends on the electrochemical storage capacity of the electrodes, but the electrochemical instability of the electrodes directly result in poor lifetime of ECIAs. Herein, we successfully designed and prepared a novel flexible free-standing carbon nanotube/polyaniline (CNT/PANI) film via the in-situ electro-polymerization of PANI on CNT films for ultra-long cycle performance ECIAs. Unlike conventional CNT or PANI electrodes, the developed CNT/PANI composite film offers a unique synergistic effect combining the electric double-layer capacitance of CNTs and the pseudocapacitance of PANI. The in-situ electro-polymerization method enables uniform PANI deposition within the CNT network, forming a tightly bonded, three-dimensional structure with enhanced ion accessibility and interfacial contact. The CNT/PANI film electrodes have excellent hydrophilicity and affinity to ionic liquid, which enhances the adhesion between electrode and electrolyte layers and facilitates the migration of hydrophilic ions (EMI+ and BF4-). Meanwhile, the in-situ electropolymerized PANI materials can improve the ion storage capacity of the CNT/PANI film electrodes, which in turn enhances the actuation abilities of the ECIAs. Consequently, the ECIAs based on the A-CNT/PANI film electrodes not only perform excellent electromechanical performance (strain 0.97%, stress 7.07 MPa), but also give an ultra-high cycling stability of up to 100,000 cycles. Our findings demonstrate a robust, flexible electrode design that mitigates common challenges in the integration of pseudocapacitive materials, ensuring stability and superior long-term performance in ECIAs.","PeriodicalId":425,"journal":{"name":"Sensors and Actuators B: Chemical","volume":"93 1","pages":""},"PeriodicalIF":8.4,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144611434","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

Forming-free Chemi-memristive Gas Sensing for Artificial Olfactory System 用于人工嗅觉系统的无形成化学记忆气体传感

IF 8.4 1区化学

Sensors and Actuators B: Chemical Pub Date : 2025-07-12 DOI: 10.1016/j.snb.2025.138315

June Soo Kim, Yujin Nam, Da Ye Kim, Noah Jang, Hyunjun Kim, Seung Deok Kim, Van Khoe Vo, Maeum Han, Seong Ho Kong

{"title":"Forming-free Chemi-memristive Gas Sensing for Artificial Olfactory System","authors":"June Soo Kim, Yujin Nam, Da Ye Kim, Noah Jang, Hyunjun Kim, Seung Deok Kim, Van Khoe Vo, Maeum Han, Seong Ho Kong","doi":"10.1016/j.snb.2025.138315","DOIUrl":"https://doi.org/10.1016/j.snb.2025.138315","url":null,"abstract":"This work introduces a novel chemi-memristive gas sensor for artificial olfactory systems that operate at room temperature without requiring external heaters. The sensor utilizes a forming-free Ti/TiO2/Pt memristive device, where oxygen-vacancy clusters enable stable and repeatable resistive switching between high-resistance and low-resistance states. Gas sensing is achieved by selectively modulating these vacancies: exposure to oxidizing gases (e.g., NO2) disrupts the conductive filament and increases resistance, while reducing gases (e.g., NH3) promote filament formation with minimal resistance changes. The device exhibits rapid response and recovery times, reliable endurance over multiple cycles, and the unique ability to store gas-exposure history while adjusting risk levels through voltage tuning. Integration with an artificial neural network further validates the platform’s high recognition accuracy for varying gas concentrations, which underscores its potential for low-power, in-sensor-computing applications in environmental monitoring and healthcare.","PeriodicalId":425,"journal":{"name":"Sensors and Actuators B: Chemical","volume":"44 1","pages":""},"PeriodicalIF":8.4,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144611476","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

MCCT-Net: A Hybrid Neural Network for Improving the Detection Performance of Electronic Nose System mct - net：一种提高电子鼻系统检测性能的混合神经网络

IF 8.4 1区化学

Sensors and Actuators B: Chemical Pub Date : 2025-07-12 DOI: 10.1016/j.snb.2025.138314

Yixin Yang, Zi Wang, Ziying Ren, Yizhou Chen, Xiaoqin Guo, Chongbo Yin, Yan Shi

{"title":"MCCT-Net: A Hybrid Neural Network for Improving the Detection Performance of Electronic Nose System","authors":"Yixin Yang, Zi Wang, Ziying Ren, Yizhou Chen, Xiaoqin Guo, Chongbo Yin, Yan Shi","doi":"10.1016/j.snb.2025.138314","DOIUrl":"https://doi.org/10.1016/j.snb.2025.138314","url":null,"abstract":"The electronic nose (e-nose) system utilizes a cross-sensitive gas sensor array to detect gas information. An effective gas information classification method is one of the key problems to improve the detection ability of e-nose. In this paper, a new deep learning algorithm is constructed to classify e-nose gas information. The Transformer structure is incorporated into the convolutional neural network (CNN) architecture to compensate for the limitation of local convolutions in capturing long-range dependencies and global feature correlations. Firstly, we construct a multi-scale convolutional encoder (MCE) to extract local gas features. Then, a channel-refiltering transformer block (CTB) is designed to learn global gas features. Finally, we combine MCE and CTB to establish a hybrid neural network for gas information classification, called multi-scale convolution and channel re-filtering transformer hybrid network (MCCT-Net). To verify the effectiveness of MCCT-Net, we conduct performance tests on two datasets. For Dataset 1, MCCT-Net obtains the 98.67% accuracy, 98.65% recall, and 98.69% precision. For Dataset 2, MCCT-Net obtains the 98.52% accuracy, 98.17% recall, and 98.69% precision. The results show that MCCT-Net can accurately classify gas information, which provides a method for improving the detection performance of the e-nose system.","PeriodicalId":425,"journal":{"name":"Sensors and Actuators B: Chemical","volume":"12 1","pages":""},"PeriodicalIF":8.4,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144611475","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

Centrifugal microfluidics platform integrated with multiple trigger-type valves for chemiluminescence detection of prostate cancer 集成多触发阀的离心微流控平台，用于前列腺癌化学发光检测

IF 8.4 1区化学

Sensors and Actuators B: Chemical Pub Date : 2025-07-11 DOI: 10.1016/j.snb.2025.138319

Jiahao Zhang, Junyu Ma, Fengfeng Shu, Yihui Wu, Yang Xu, Mingshu Miao

{"title":"Centrifugal microfluidics platform integrated with multiple trigger-type valves for chemiluminescence detection of prostate cancer","authors":"Jiahao Zhang, Junyu Ma, Fengfeng Shu, Yihui Wu, Yang Xu, Mingshu Miao","doi":"10.1016/j.snb.2025.138319","DOIUrl":"https://doi.org/10.1016/j.snb.2025.138319","url":null,"abstract":"Chemiluminescence is currently the most widely used immunoassay method in clinical practice, characterized by its high detection sensitivity, high specificity, and rapid processing speed. Traditional chemiluminescence rely on large, complex instruments that require intensive manual maintenance, making it unsuitable for regions with limited medical resources. Developing POCT devices based on centrifugal microfluidics is a feasible solution. However, fully integrating complex assay steps such as sequential reagent release, precise fluid transport, and magnetic beads manipulation into centrifugal microfluidics remains challenging, limiting its application in chemiluminescence. Commonly used integration schemes concentrate on utilization of single trigger-type valves and the resolution of valve activating inevitably decreases as the number increases due to the same triggering mechanism. In our previous work, we introduced new Euler force triggered siphon valves which were different from conventional hydrophilic siphon valves. In this work, we further proposed an integration scheme based on passive valves with different triggering mechanisms to reduce the risk of valve interference, resulting in more precise fluid control and thus better reproducibility of chips. As a validation, we detected total prostate cancer antigen (TPSA) and free prostate cancer antigen (FPSA) using direct chemiluminescence on the chip. The detection process was completed in less than 20 min and limit of detection (LOD) was 0.1 ng/mL for TPSA and 0.08 ng/mL for FPSA, respectively. The chip relies solely on valves for fluid control without external structural intervention, establishing significant advantages in automation of entire platform, which create broad application prospects for early clinical diagnosis.","PeriodicalId":425,"journal":{"name":"Sensors and Actuators B: Chemical","volume":"23 1","pages":""},"PeriodicalIF":8.4,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144611479","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-Enhanced Raman Spectroscopy for Fast Nanoplastic Detection at Low SNR 机器学习增强拉曼光谱在低信噪比下快速检测纳米塑料

IF 8.4 1区化学

Sensors and Actuators B: Chemical Pub Date : 2025-07-11 DOI: 10.1016/j.snb.2025.138316

Jeonghyun Lim, Dongha Shin

{"title":"Machine Learning-Enhanced Raman Spectroscopy for Fast Nanoplastic Detection at Low SNR","authors":"Jeonghyun Lim, Dongha Shin","doi":"10.1016/j.snb.2025.138316","DOIUrl":"https://doi.org/10.1016/j.snb.2025.138316","url":null,"abstract":"Raman spectroscopy is widely used to identify substances such as microplastics. As the size decreases to nanoplastics, their numbers are expected to increase, making it crucial to determine how many samples can be analyzed quickly and accurately. However, there is always a trade-off between analysis speed and the signal-to-noise ratio (SNR). Obtaining a low SNR is easy, but such spectra have reduced reliability for identification, while achieving a high SNR necessary for accurate identification inevitably requires longer analysis times. With enhanced artificial intelligence, these challenges can be overcome. In practice, establishing a well-labeled low SNR database is crucial for accurate AI-based substance identification. In this study, we have developed a systematic machine-learning approach to address this issue. To address this, we augmented Raman spectral databases by averaging numerous low-SNR spectra acquired over extremely short exposure times, thereby generating databases with broad SNR ranges. From such a broad database, we effectively distinguished noise from signals by using a combination of unsupervised clustering methods—including autoencoder, PCA, and DBSCAN. Such filtered signals were then used to train Bi-Convolutional Neural Network technique, enhanced with positional encoding and multi-head attention, achieving 99.29% (±0.58%) accuracy in classifying spectra with an SNR close to 2, even with very short Raman measurement times (0.001 s). This methodology enables the rapid analysis of nanoplastics and other low-concentration substances, reduces hardware requirements, and has broad applications in fields such as bioprocessing and food analysis. Additionally, this approach can be extended to other spectroscopic methods, accelerating data processing in data-limited environments.","PeriodicalId":425,"journal":{"name":"Sensors and Actuators B: Chemical","volume":"4 1","pages":""},"PeriodicalIF":8.4,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144603749","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