ACS SensorsPub Date : 2025-03-05DOI: 10.1021/acssensors.4c03472
Wenjun Wang, Guanbo Min, Xufeng Jiao, Wang Tingyu, Chengyu Li, Kun Xu, Xuanli Dong, Jiaxuan Wu, Feng Qu, Weiguo Wang, YuSheng Li, Cheng Huang, Wei Tang, Bo Meng
{"title":"High-Adhesive Hydrogel-Based Strain Sensor in the Clinical Diagnosis of Anterior Talofibular Ligament Sprain","authors":"Wenjun Wang, Guanbo Min, Xufeng Jiao, Wang Tingyu, Chengyu Li, Kun Xu, Xuanli Dong, Jiaxuan Wu, Feng Qu, Weiguo Wang, YuSheng Li, Cheng Huang, Wei Tang, Bo Meng","doi":"10.1021/acssensors.4c03472","DOIUrl":"https://doi.org/10.1021/acssensors.4c03472","url":null,"abstract":"Anterior talofibular ligament (ATFL) sprain is one of the most prevalent sports-related injuries, so proper evaluation of ligament sprains is critical for treatment options. However, existing tests suffer from a lack of standardized quantitative evaluation criteria, interindividual variability, incompatible materials, or risks of infection. Although advanced medical diagnostic methods already have been using noninvasive, portable, and wearable diagnostic electronics, these devices have insufficient adhesion to accurately respond to internal body injuries. Therefore, we propose a high-adhesive hydrogel-based strain sensor made from gelatin, cellulose nanofiber (CNF), and cross-linked poly(acrylic acid) grafted with <i>N</i>-hydrosuccinimide ester. The adhesive strain sensor, with excellent conformability and stretchability, firmly adheres to the skin, making it suitable for accurately evaluating the severity of anterior talofibular ligament sprain. Its strong adhesive (up to 192 kPa) can adapt to the surface characterization of ankles. The high-adhesive hydrogel-based strain sensor has a high tensile strength (680%) and achieves a high gauge factor (GF) of 8.29. Simultaneously, it also presents a 40 μm ultralow detection limit. Additionally, after a deep learning model was integrated to improve sensing accuracy, the system achieved a diagnostic accuracy of 95%, significantly surpassing the magnetic resonance imaging (MRI) gold standard of 81.1%.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"42 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143546779","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":"Near-Field Electrochemistry Enables a Wearable Sensor-Embedded Smart Facemask for Personalized Respiratory Assessment","authors":"Yifei Xue, Xudong Zhao, Fei Wu, Lijuan Hou, Ping Yu, Lijuan Li, Lanqun Mao","doi":"10.1021/acssensors.5c00524","DOIUrl":"https://doi.org/10.1021/acssensors.5c00524","url":null,"abstract":"Continuous monitoring of respiratory waveforms with daily wearable devices can provide valuable physiological data for health assessments. However, developing miniature sensors that feature both high portability and stability for real-time monitoring of respiratory waveforms remains a challenge. We recently developed a near-field electrochemical mechanism that could be used as an emerging sensing strategy for respiratory monitoring in anesthetic rats. Nevertheless, the application of this mechanism for wearable applications in human subjects remains a challenge. To well meet the requirements of wearable applications, we develop a near-field electrochemical system by establishing its theoretical expression and designing a portable signal acquisition device, enabling wireless humidity sensing with high sensitivity and stability. We further embed the sensor chip into commercially available procedural masks, transforming them into smart facemasks capable of continuously monitoring breath waveforms for real-time assessment of respiration in human subjects engaged in physical activities. The sensing system is expected to stimulate broader applications in disease diagnosis and fitness training.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"53 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143546638","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}
ACS SensorsPub Date : 2025-03-05DOI: 10.1021/acssensors.4c02670
Bichitra Nanda Sahoo, Peter James Thomas, Paul Thomas, Martin Møller Greve
{"title":"Antibiofouling Coatings For Marine Sensors: Progress and Perspectives on Materials, Methods, Impacts, and Field Trial Studies","authors":"Bichitra Nanda Sahoo, Peter James Thomas, Paul Thomas, Martin Møller Greve","doi":"10.1021/acssensors.4c02670","DOIUrl":"https://doi.org/10.1021/acssensors.4c02670","url":null,"abstract":"The attachment of marine organisms, for example, bacteria, proteins, inorganic molecules, and more on a sea-submerged surface is a global concern for marine industries as it controls the surface for further marine growth. Applications requiring the estimation of real-time information from oceanographic sensors conveyed for long-term deployment are vulnerable to biofouling. Therefore, an effective approach to controlling the biofouling that accumulates on marine sensors is paramount. To date, many technologies have been explored to impede biofouling; however, several factors constrain many strategies, including their reliance on environmentally toxic materials, high fabrication costs, poor coatings, and nontransparency. These challenges have motivated work to develop numerous advanced and innovative strategies based on mechanical methods, irradiation, and design of polymeric/nonpolymeric coatings with fouling resistance, fouling release, and fouling degrading coatings to protect marine sensors and housing materials from biofouling. This Review presents recent progress in the developed biofouling control strategies that have been applied to commercially available sensors and sensor housing materials. Moreover, recent findings in the literature are highlighted while considering the wettability principles for air and water environments, antifouling performance, practical feasibility, environmental and economic impact of coatings, and field trial studies. Here, we emphasize how these features can play major roles synergistically to affect antifouling coatings against nano- to microlevel organisms. This review will not only allow researchers to understand the design principles but also contribute to the development of new cost-effective strategies.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"3 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143546778","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":"Highly Sensitive Detection of Engrailed-2 Protein Biomarker in Urine for Using Solution-Gated Graphene Transistor Diagnosis of Prostate Cancer","authors":"Junqi Dong, Huan Yang, Peng Song, Tingting Yu, Zexun Pan, Ziwen Chen, Ruixue Wang, Minghua Deng, Xianbao Wang, Jinhua Li","doi":"10.1021/acssensors.4c03320","DOIUrl":"https://doi.org/10.1021/acssensors.4c03320","url":null,"abstract":"Engrailed-2 (EN2) protein, a transcription factor in the homologous domain expressed in prostate cancer (PCa) cells and secreted into the urine, is considered a promising biomarker for noninvasive detection of PCa. EN2 protein in urine samples can be obtained by noninvasive means, but the low biomarker concentration in urine samples poses a great challenge for noninvasive detection of the PCa biomarker. Herein, we develop a solution-gated graphene transistor (SGGT) biosensor to detect the biomarker of the EN2 protein for PCa diagnosis. The aptamer probes are immobilized to the gold gate electrode through Au–S bonds. The effect of aptamer configurations on the biosensor’s responses is also investigated. It can be found that the SGGT biosensor with the long-chain probes with a stem-like loop structure exhibits optimal performance. The limit of detection of biosensors can reach 0.1 fg/mL, and a rapid response time of 19 min is achieved. The SGGT biosensor also exhibits high specificity for the EN2 protein. More importantly, testing of clinical urine samples indicates that our sensor can distinguish PCa patients from non-PCa subjects. Compared to traditional hospital prostate-specific antigen tests, our sensor exhibits better accuracy for the noninvasive diagnosis of PCa.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"16 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143546780","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":"Novel Dual-Emissive Up-conversion Fluorescent Probe for Imaging Ectopic Lipid Accumulation in Diabetes Mellitus","authors":"Zheming Zhang, Zhiyuan Wang, Mengfan Kan, Minggang Tian, Zhongwen Zhang","doi":"10.1021/acssensors.4c03149","DOIUrl":"https://doi.org/10.1021/acssensors.4c03149","url":null,"abstract":"Diabetic kidney disease (DKD) is a leading cause of death among diabetic patients, primarily due to ectopic lipid accumulation in nonadipose tissues. The lack of molecular tools for quantitatively visualizing this lipid accumulation has hindered in-depth studies. This study aims to develop a dual-emissive up-conversion fluorescent probe, DSDM, for precise in vivo and ex vivo analyses of lipid accumulation. DSDM exhibits up-conversion green emission and down-conversion near-infrared (NIR) fluorescence when excited at 561 nm. This allows for the simultaneous imaging of lipid droplets (LDs) and the endoplasmic reticulum (ER), the primary sites for lipid synthesis and storage. With intracellular lipid consumption and accumulation, the green emission in LDs decreased or increased, while the NIR fluorescence in the ER remained constant. Using the NIR emission as an internal control, the green-to-NIR emission intensity ratio can quantify the LD amount accurately, overcoming the possible interferences from inhomogeneous staining, variation in cell population, and other factors. With the probe, we quantitatively analyzed LD accumulation in human kidney cells with either overexpressed or silenced aquaporin 7 (AQP7), induced by palmitic acid. Herein, AQP7 is specifically expressed in kidney tubules and is the only channel that regulates adipose glycerol transport. In DKD mice with kidney-specific AQP7 knockout, the probe successfully detected up-regulated lipid accumulation and ER stress. Tissue imaging revealed that the inhibited close contact between LDs and ER might facilitate the assessment of lipid accumulation in DKD. This approach effectively addresses the limitations of precise tissue biopsy in DKD, thereby improving DKD management.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"28 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143546671","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}
ACS SensorsPub Date : 2025-03-04DOI: 10.1021/acssensors.4c03408
Yiwei Li, Shibo Song, Jin Song, Rui Gong, Ghulam Abbas
{"title":"Electrochemical pH Sensor Incorporated Wearables for State-of-the-Art Wound Care","authors":"Yiwei Li, Shibo Song, Jin Song, Rui Gong, Ghulam Abbas","doi":"10.1021/acssensors.4c03408","DOIUrl":"https://doi.org/10.1021/acssensors.4c03408","url":null,"abstract":"Nonhealing chronic wounds pose severe physiological and psychological distress to patients, making them a significant concern for global public health. Effective wound management strategies assisted by smart wearable pH monitoring have the potential to substantially alleviate both social and economic burdens. The pH of the wound exudate serves as a valuable indicator for predicting infections and assessing the healing status of wounds. This review comprehensively summarizes fundamental aspects related to wound pH, with a particular emphasis on the relationships between pH and healing status, infections, and other biochemical parameters that are crucial for wound health. It systematically discusses advancements in electrochemical pH sensors specifically designed for wearable devices, emphasizing their core performance in the care of chronic wounds. Additionally, the review outlines the challenges faced by this field and suggests future directions for research and development.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"30 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143546781","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":"Nanotechnology-Based Wearable Electrochemical Biosensor for Disease Diagnosis","authors":"Jinho Yoon, Nayeon Kwon, Yejin Lee, Seewoo Kim, Taek Lee, Jeong-Woo Choi","doi":"10.1021/acssensors.4c03371","DOIUrl":"https://doi.org/10.1021/acssensors.4c03371","url":null,"abstract":"Recently, flexible electronics have significantly transformed information and communications technology (ICT). In particular, wearable devices, via integration with attachable biosensors, have driven the development of new types of biosensors and diagnostic devices for point-of-care testing (POCT). Moreover, wearable electrochemical biosensors can be applied to diagnose diseases in real time based on the synergistic effect generated from the incorporation of the electrochemical technique. Besides, to improve the sensitivity of electrochemical biosensors while retaining their wearability, novel nanomaterials and nanotechnologies have been introduced. In this review, recent studies on nanotechnology-based wearable electrochemical biosensors for accurate disease diagnosis are discussed. First, widely used techniques for developing flexible electrodes, including nanolithography- and nano/microneedle-based patches, are presented. Next, the latest studies on developing wearable electrochemical biosensors for the diagnosis of diseases such as diabetes and dermatitis are discussed by categorizing the biosensors into nanolithography- and nano/microneedle-based categories. Finally, this review explores the latest research trends on the application of nanotechnology-enabled nanopatterning and nano/microneedle technologies to electrochemical wearable biosensors. This review suggests novel approaches and methods for developing wearable electrochemical biosensors for real-time disease diagnosis under POCT applications.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"23 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143539009","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}
ACS SensorsPub Date : 2025-03-03DOI: 10.1021/acssensors.4c03532
Menglong Li, Wen Ye, Juanzhang Ruan, Qiuyuan Ren, Shihong Dong, Dongyun Chen, Najun Li, Qingfeng Xu, Hua Li, Jianmei Lu
{"title":"Lead-Free Halide Double Perovskite Cs2AgBiCl6 for H2S Trace Detection at Room Temperature","authors":"Menglong Li, Wen Ye, Juanzhang Ruan, Qiuyuan Ren, Shihong Dong, Dongyun Chen, Najun Li, Qingfeng Xu, Hua Li, Jianmei Lu","doi":"10.1021/acssensors.4c03532","DOIUrl":"https://doi.org/10.1021/acssensors.4c03532","url":null,"abstract":"Hydrogen sulfide (H<sub>2</sub>S) is an important respiratory biomarker of many diseases, and thus, developing H<sub>2</sub>S gas sensors with low detection limits at low operating temperatures is essential for the early diagnosis of diseases in low-resource environments. Although lead halide perovskites have unique electronic and optical properties, the high toxicity of lead has prompted the development of alternative materials. In this study, Cs<sub>2</sub>AgBiCl<sub>6</sub> was synthesized using a simple method. The sensor based on Cs<sub>2</sub>AgBiCl<sub>6</sub> showed excellent sensing of H<sub>2</sub>S gas at room temperature over a wide humidity range, with high response (90.6 vs 10 ppm of H<sub>2</sub>S) and fast response speed (99.6 s vs 400 ppb H<sub>2</sub>S). The detection limit was low (5 ppb H<sub>2</sub>S), and the selectivity at room temperature was excellent. Small changes in H<sub>2</sub>S concentration (<100 ppb) were detected as a fully reversible resistance signal. Additionally, sum frequency vibration spectroscopy and DFT calculations showed that the high gas sensitivity was attributed to the physical adsorption of H<sub>2</sub>S at Cl vacancies on the surface of Cs<sub>2</sub>AgBiCl<sub>6</sub>, as well as efficient charge transfer. This work provides an avenue for developing high-performance gas sensors based on nontoxic, wide band gap, halide double perovskite semiconductors operating at room temperature.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"49 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143539166","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}
ACS SensorsPub Date : 2025-03-03DOI: 10.1021/acssensors.4c03642
Xiaotian Wang, Yaoyao Zhou, Xiufang Li, Mei Zou, Qiang Zhang, Weilin Xu, Yanfei Feng, Yingying Zhang, Renchuan You
{"title":"Silk Fibroin-Based Antifreezing and Highly Conductive Hydrogel for Sensing at Ultralow Temperature","authors":"Xiaotian Wang, Yaoyao Zhou, Xiufang Li, Mei Zou, Qiang Zhang, Weilin Xu, Yanfei Feng, Yingying Zhang, Renchuan You","doi":"10.1021/acssensors.4c03642","DOIUrl":"https://doi.org/10.1021/acssensors.4c03642","url":null,"abstract":"Hydrogels with a combination of mechanical flexibility and good electrical conductivity hold significant potential for various applications. Nonetheless, it is inevitable that water-based conductive hydrogels lose their elasticity and conductivity at extremely low temperatures, severely limiting their utilization in ultralow temperature environments, such as those for Arctic/Antarctic exploration. In this study, we developed a conductive hydrogel based on a double network cross-linking strategy that incorporated silk fibroin (SF) and poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS) within a lithium bromide (LiBr) solution, which shows exceptional antifreezing (−108 °C freezing point) and excellent conductivity (16.33 S m<sup>–1</sup>). The obtained SF/PEDOT:PSS/LiBr (SPL) hydrogel shows a stable and reliable response to a wide range of deformations (compression: 0.5–60%; tensile: 1.0–100%), with a short response/recovery time of approximately 70 ms. More importantly, the hydrogel displays well-maintained conductivity, robust mechanical properties, and dependable sensing capabilities, even under temperatures as low as −80 °C. For proof of concept, we demonstrated the applications of the SPL hydrogel in detecting body movements, monitoring climate conditions, and ensuring information security in ultralow temperature environments. The results indicate that the antifreezing hydrogel is a promising candidate for fabricating flexible sensors, particularly well-suited for use in challenging ultralow temperature scenarios.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"2 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143539167","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}
ACS SensorsPub Date : 2025-03-03DOI: 10.1021/acssensors.4c03085
Shaofeng Shao, Liangwei Yan, Jiale Li, Yizhou Zhang, Jun Zhang, Hyoun Woo Kim, Sang Sub Kim
{"title":"Harnessing Transfer Deep Learning Framework for the Investigation of Transition Metal Perovskite Oxides with Advanced p-n Transformation Sensing Performance","authors":"Shaofeng Shao, Liangwei Yan, Jiale Li, Yizhou Zhang, Jun Zhang, Hyoun Woo Kim, Sang Sub Kim","doi":"10.1021/acssensors.4c03085","DOIUrl":"https://doi.org/10.1021/acssensors.4c03085","url":null,"abstract":"Gas sensing materials based on transition metal perovskite oxides (TMPOs) have garnered extensive attention across various fields such as air quality control, environmental monitoring, healthcare, and national defense security. To overcome challenges encountered in traditional research, a deep learning framework combining natural language processing technology (Word2Vec) and crystal graph convolutional neural network (CGCNN) was adopted in this study, proposing a predictive method that incorporates a comprehensive data set consisting of 1.2 million literature abstracts and 110,000 crystal structure data entries. This method assessed the optimal combination of zinc–cobalt bimetallic ions complexed with ligands as precursors for perovskite oxides. The regulatory function of ligand concentration on the p-n transformation of zinc–cobalt oxide sensing performance was identified, and optimization strategies were provided. The Zn(II)/Co(III)/1-methyl-1<i>H</i>-imidazole-2-carboxylic acid complex was synthesized and demonstrated exceptional sensitivity and selectivity toward volatile organic compounds (VOCs), particularly 3-hydroxy-2-butanone (3H-2B). The p-n transformation mechanism of sensing performance was deeply analyzed through the construction of the hyper-synergistic ligand interaction matrix model for n-type sensors (HSLIM-n) and the parametrized surface-ligand resonance model for p-type sensors (PSLRM-p), enhancing the fundamental understanding of the sensing material properties. Even in highly interfering environments, the functionalized perovskite oxides exhibited outstanding sensitivity and selectivity toward 3H-2B gas, with a low detection limit of 25 parts per billion (ppb). This comprehensive research approach has facilitated the construction of a transfer learning-enhanced deep learning framework, which has shown high efficiency in predicting the performance and precise design of perovskite oxides, and its effectiveness was meticulously verified through detailed experimental validation.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"56 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143539255","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}