ACS Sensors最新文献

{"title":"Machine Learning-Assisted Multicolor Fluorescence Assay for Visual Data Acquisition and Intelligent Inspection of Multiple Food Hazards Regardless of Matrix Interference.","authors":"Tong Zhai,Wen-Tao Gu,Miao Yu,Yu-Di Shen,Jing-Min Liu,Shuo Wang","doi":"10.1021/acssensors.5c01325","DOIUrl":"https://doi.org/10.1021/acssensors.5c01325","url":null,"abstract":"Regarding the significant health risks of pesticide residue in foods, while current sensors still suffer from limited efficiency and stability, as well as difficulties in qualitative identification and quantitative detection of mixtures, development of innovative detection techniques combined with advanced methodology holds great research value. Herein, a highly efficient intelligent food risk evaluation system was proposed by integrating a multicolor fluorescent responsive assay with machine learning (ML) algorithms for the identification and quantification of multiple pesticides, carbendazim (CBZ), heptachlor (HEP), chlordimeform (CDF), and their mixtures. This method leveraged the color changes generated from the interaction between multicolor carbon dots (CDs) and target pesticide molecules. By extracting color signal feature values from these reactions and integrating the visual data acquisition with ML models, this method enables efficient qualitative identification and quantitative detection of multiple pesticides, regardless of matrix interference through a dual-source data acquisition strategy without large instruments. The developed evaluation system via a ″stepwise prediction″ strategy automatically demonstrated robust qualitative identification capability with a discrimination accuracy of 99.3% for pesticide categorization while achieving robust quantitative prediction accuracy (R2 ≥ 0.8946) for pesticide concentration detection, verified in six kinds of food matrix. This method significantly improves the detection stability and efficiency, providing a promising tool for food safety monitoring.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"9 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144087758","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/Cas on Microfluidic Paper-Based Analytical Devices for Point-of-Care Screening of Cervical Cancer.","authors":"Shixian Liu,Tian Yu,Libing Song,Kourosh Kalantar-Zadeh,Guozhen Liu","doi":"10.1021/acssensors.5c00863","DOIUrl":"https://doi.org/10.1021/acssensors.5c00863","url":null,"abstract":"Highly sensitive point-of-care early screening for high-risk human papillomavirus (HPV) infections is urgently needed, particularly in resource-limited settings. Nucleic acid amplification methods, especially CRISPR/Cas-based biosensors, have emerged as promising tools for sensitive HPV detection; however, current approaches typically rely on tedious tube-based formats coupled with lateral flow assays for signal readout in point-of-care testing (POCT). Here, we developed customized microfluidic paper-based analytical devices (μPADs) with valves that seamlessly integrated recombinase polymerase amplification (RPA) with CRISPR/Cas12a biosensing (RPA-CRISPR/Cas12a) on the filter paper substrate. This innovation achieved sensitive and cost-effective high-risk HPV detection in POCT. The RPA-CRISPR/Cas12a system with a linear reporter on μPADs, enabled fluorescence detection of the E7 gene, achieving a sensitivity of 1 pM at approximately 1 h. The sensitivity was further enhanced by introducing a circular reporter into the fluorescence-based RPA-CRISPR/Cas12a system on μPADs, enabling detection of the E7 gene with a detection limit of 1 fM and an assay time of 35 min. The system was validated using 50 cervical swab clinical samples, demonstrating 95% sensitivity and 100% specificity when compared to qPCR. This sample-to-answer detection platform holds significant promise for early screening of high-risk HPV infections in point-of-care scenarios.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"41 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144087754","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":"Enhanced Gas Adsorption and Robust Multi-Interface Charge Transfer in Ternary Co3O4/ZnIn2S4/Pt Heterostructure Arrays for Efficient Triethylamine Detection.","authors":"Yulin Zhu,Yan Liang,Jianxian You,Dehua Wang,Jiahao Li,Yanxing Yang,Yong Yang","doi":"10.1021/acssensors.5c00818","DOIUrl":"https://doi.org/10.1021/acssensors.5c00818","url":null,"abstract":"The resistive gas sensors based on semiconductor materials provide an effective strategy for the detection of harmful gases. However, the limitations of surface gas adsorption activity and interface charge transfer efficiency of semiconductor sensing materials, as well as the complex device fabrication process, pose significant challenges to the development of sensors. Here, a ternary Co3O4/ZnIn2S4/Pt heterostructure arrays gas sensor is designed, which consists of Co3O4 nanowire arrays grown in situ on an alumina flat substrate as backbones, ultrathin ZnIn2S4 nanosheets wrapped around the surface of Co3O4 nanowires, and highly dispersed Pt nanoparticles on the outermost layer. It enables superior sensing performance for the detection of the volatile organic compound triethylamine, which exhibits a significant response of ∼118.97 (Ra/Rg) toward 100 ppm of triethylamine at a relatively low working temperature of 200 °C, along with excellent response/recovery speed, selectivity, and enduring stability (over 3 months). Based on first-principles calculation and a series of spectroscopic characterization (including in situ spectroscopy), it is revealed that the heterostructure arrays exhibited enhanced adsorption activity for both oxygen and triethylamine molecules. Most importantly, the robust p-n heterointerface (Co3O4/ZnIn2S4) and semiconductor-metal heterointerface (Co3O4/Pt, ZnIn2S4/Pt) are formed in the ternary heterostructure, achieving efficient multi-interface charge transfer characteristics. In addition, thanks to the design of in situ 1D/2D/0D porous array structures, the ternary Co3O4/ZnIn2S4/Pt heterostructure arrays not only have large specific surface areas for gas reaction but also simplify device manufacturing. This research offers novel perspectives on boosting the gas sensing performance of semiconductor materials through the comprehensive design of ternary heterostructures with robust multi-interfaces.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"5 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144087762","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":"Detection of ppb-Level SO2 at Room Temperature Based on Bi2O2Se Nanosheets.","authors":"Xinxin He,Xuanyu Ren,Xuyang An,Ping Guo,Yinhua Hu,Tiezhu Liu,Jia Zhang","doi":"10.1021/acssensors.5c00237","DOIUrl":"https://doi.org/10.1021/acssensors.5c00237","url":null,"abstract":"Monitoring sulfur dioxide (SO2) is crucial for protecting human health as exposure to this pollutant can cause respiratory and cardiovascular illnesses, particularly in vulnerable populations. The primary materials currently used for detecting SO2 are metal oxides. However, it is still a challenge to detect SO2 at the parts per billion (ppb) level via these materials even when operated at high temperatures. Herein, we propose a highly sensitive SO2 sensor that operates at room temperature (RT). The sensing material employed is the hydrothermally synthesized bismuth oxyselenide (Bi2O2Se) nanosheets. The Bi2O2Se sensor exhibits a response value of 34% to 1 ppm SO2 and a detection limit of 20 ppb, which surpasses most SO2 sensors reported to date. The superior sensitivity and selectivity of Bi2O2Se nanoppbsheets toward SO2 are attributed to their strong adsorption energy (-0.76 eV) and significant electron transfer (2.205 e) between Bi2O2Se and SO2 molecules, as confirmed by density functional theory (DFT) calculations. Finally, a wireless SO2 sensing system is designed and implemented based on the SO2 sensor, enabling the detection of trace-level SO2 in indoor environments such as factories and laboratories, thereby protecting the well-being of personal further.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"54 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144087757","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 CRISPR/Cas12a-Assisted SERS Nanosensor for Highly Sensitive Detection of HPV DNA.","authors":"Jianqing Ye,Yongshi Shen,Zhizhong Lin,Luyun Xu,Lingna Wang,Xueliang Lin,Baoxing Huang,Zhiqing Ma,Zongyang Yu,Duo Lin,Wenjuan Chen,Shangyuan Feng","doi":"10.1021/acssensors.5c00547","DOIUrl":"https://doi.org/10.1021/acssensors.5c00547","url":null,"abstract":"The lack of timely and effective screening and diagnosis is a major contributing factor to the high mortality rate of cervical cancer in low-income countries and resource-limited regions. Therefore, the development of a rapid, sensitive, and easily deployable diagnostic tool for HPV DNA is of critical importance. In this study, we present a novel high-sensitivity and high-specificity detection method for HPV16 and HPV18 by integrating the CRISPR/Cas12a system with surface-enhanced Raman scattering (SERS) technology. This method leverages the trans-cleavage activity of the CRISPR/Cas12a system, which cleaves biotin-modified spherical nucleic acids (Biotin-SNA) in the presence of target DNA, releasing free Biotin-DNA. The released Biotin-DNA preferentially binds to streptavidin-modified magnetic beads (SAV-MB), reducing the capture of Biotin-SNA by SAV-MB and thereby significantly enhancing detection sensitivity. This method offers the potential for point-of-care diagnostics as it operates efficiently at 37 °C without the need for thermal cycling. Using standard DNA samples, we demonstrated that this biosensor achieved detection limits as low as 209 copies/μL and 444 copies/μL within 95 min. When combined with recombinase polymerase amplification (RPA), the sensor demonstrated enhanced sensitivity, enabling detection of target DNA at concentrations as low as 1 copy/μL within approximately 50 min. Furthermore, validation with clinical samples confirmed the feasibility and practical applicability of this method. This novel SERS-based sensor offers a new and effective tool in the prevention and detection of cervical cancer.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"128 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144087759","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":"Investigation of the DNA Methylation-Modified 8-17 DNAzyme Functions via Sensitive Catalytic Hairpin Self-Assembly Reaction.","authors":"Wanxue Wang,Guoying Li,Xinghui Zhou,Xiaofang Ding,Feng Zhang,Yaoyao Shu,Yanqiong Liu,Haiou Ma,Lang Zhang,Danping Chen","doi":"10.1021/acssensors.5c00581","DOIUrl":"https://doi.org/10.1021/acssensors.5c00581","url":null,"abstract":"8-17 DNAzyme is a well-known versatile nucleic acid tool for achieving a specific cleavage function, and thus, investigation of 8-17 DNAzyme functions can prove to be of great significance. The conventional epigenetic modification on DNAzyme may pave a new way for the study of catalytic properties. Herein, the most abundant and best characterized modifications 5-methylcytosine (5mC) and N6-methyladenosine (m6A) are introduced into the central catalytic core and stem sequence of 8-17 DNAzyme to evaluate the cleavage activity. The modified 8-17 DNAzymes are arranged to recognize and cleave single-stranded DNA (ssDNA) substrates that contain a 5'-rAG-3' motif, producing large numbers of short ssDNA and leaving different amounts of undegraded ssDNA because of their disparate excision efficiency. Meanwhile, the undegraded ssDNA is used as new substrates for triggering the catalytic hairpin self-assembly (CHA) reaction. Benefiting from the facile and sensitive CHA reaction, the methylation-induced fluctuations of cleavage activity can be directly amplified and detected. Moreover, dioxygenase ten-eleven translocation protein 2 (Tet 2) offers a possibility for exploring the reversibility of methylation-modified DNAzymes through a demethylation process. In this study, we found that both 5mC and m6A modifications in the circular catalytic core might lead to a significant inhibition effect on the catalytic activity of 8-17 DNAzyme. However, little variation was observed when the stem region was labeled with 5mC. Additionally, the alkaline condition (pH = 9.5) enabled the partial recovery of cleavage activity for DNAzyme-19-5mC (∼52.9%). More impressively, these 8-17 DNAzymes were employed to study the regulation of miRNA-21 level in nonsmall cell lung cancer (A549) cells and human cervical cancer (HeLa) cells, revealing that the decrease of intracellular miRNA-21 content showed positive correlation with the death of tested cells. This study would hopefully advance the epigenetics research and dramatically expand the biosensing application of DNAzymes.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"234 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144087755","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":"Extracting True Virus SERS Spectra and Augmenting Data for Improved Virus Classification and Quantification","authors":"Yufang Liu, Yanjun Yang, Haoran Lu, Jiaheng Cui, Xianyan Chen, Ping Ma, Wenxuan Zhong, Yiping Zhao","doi":"10.1021/acssensors.4c03397","DOIUrl":"https://doi.org/10.1021/acssensors.4c03397","url":null,"abstract":"Surface-enhanced Raman spectroscopy (SERS) is a transformative tool for infectious disease diagnostics, offering rapid and sensitive species identification. However, background spectra in biological samples complicate analyte peak detection, increase the limit of detection, and hinder data augmentation. To address these challenges, we developed a deep learning framework utilizing dual neural networks to extract true virus SERS spectra and estimate concentration coefficients in water for 12 different respiratory viruses. The extracted spectra showed a high similarity to those obtained at the highest viral concentration, validating their accuracy. Using these spectra and the derived concentration coefficients, we augmented spectral data sets across varying virus concentrations in water. XGBoost models trained on these augmented data sets achieved overall classification and concentration prediction accuracy of 92.3% with a coefficient of determination (<i>R</i>²) &gt; 0.95. Additionally, the extracted spectra and coefficients were used to augment data sets in saliva backgrounds. When tested against real virus-in-saliva spectra, the augmented spectra-trained XGBoost models achieved 91.9% accuracy in classification and concentration prediction with <i>R</i>² &gt; 0.9, demonstrating the robustness of the approach. By delivering clean and uncontaminated spectra, this methodology can significantly improve species identification, differentiation, and quantification and advance SERS-based detection and diagnostics.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"233 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144083352","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":"Wash-Free Isolation and Quantification of Tumor-Derived Exosomes via In Situ-Formed Hydrogel","authors":"Hongqiang Wang, Jiayu Sun, Qingqing Zou, Bin Du, Hui Liu, Yanan Luan, Xin Wang, Xiaohai Yang, Qing Wang, Kemin Wang","doi":"10.1021/acssensors.5c00204","DOIUrl":"https://doi.org/10.1021/acssensors.5c00204","url":null,"abstract":"The isolation and detection of exosomes as tumor markers are of vital importance for the early diagnosis, therapeutic monitoring, and mechanistic studies of tumors. Here, exosomes derived from breast cancer cells were chosen as model targets, and a wash-free, enzyme-free, handheld mini centrifugation method based on hydrogels was developed to effectively isolate and detect breast cancer exosomes. Dual aptamers (CD63-T1 and EpCAM-T2) were employed to specifically recognize and capture breast cancer exosomes. This specific recognition triggered the formation of hybridization chain reaction (HCR) nanostructures on the captured exosomes through the interaction of hairpin 1 and the alginate complex (H1-Alg) and hairpin 2 (H2-Cy3). The interaction of Ca²⁺ and alginate enabled the in situ formation of a hydrogel on the exosome surface. Subsequent low-speed centrifugation using a handheld mini centrifuge facilitated the efficient isolation of the exosomes, thereby eliminating the need for tedious washing steps. Utilizing the classical chelation reaction of ethylene diamine tetraacetic acid (EDTA) with Ca²⁺, the hydrogel can be rapidly cleaved for enzyme-free release of exosomes. The method demonstrated excellent capture and release efficiencies of approximately 85% and 98%, respectively, for specific cancerous exosomes. Notably, the exosomes isolated by the hydrogel system retained excellent biological activity, making them suitable for further analysis and potential applications. Meanwhile, the highly sensitive detection of breast cancer exosomes based on this strategy could also be achieved with a lower limit of detection as low as 3.2 × 10³ particles/mL. This work provides a novel and cost-effective strategy for the effective isolation and detection of tumor-derived exosomes, which can help to promote the subsequent application of exosomes in research.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"76 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144066971","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":"Wearable, Breathable, and Wireless Gas Sensor Enables Highly Selective Exhaled Ammonia Detection and Real-Time Noninvasive Illness Diagnosis","authors":"Haipeng Dong, Xiaowei Li, Yu Liu, Wanying Cheng, Chaohan Han, Yunpeng Yin, Xinghua Li, Changlu Shao, Yichun Liu","doi":"10.1021/acssensors.4c03468","DOIUrl":"https://doi.org/10.1021/acssensors.4c03468","url":null,"abstract":"Wearable gas sensors capable of real-time analysis of exhaled breath have been identified as ideal devices for noninvasive illness diagnosis. However, due to their inherent rigidity and brittleness, as well as high cross-sensitivity, conventional semiconductor gas sensors face significant challenges in achieving high flexibility, robustness, and selective exhaled breath analysis. Herein, we propose a wearable gas sensor by anchoring a SnS₂ nanosheets/polyaniline (PANI) sensing layer in situ onto a permeable and flexible yttria-stabilized zirconia (YSZ) nanofiber substrate for the analysis of exhaled NH₃. The cross-linked meshes of the YSZ network and the abundant voids between SnS₂ nanosheets effectively release the stress concentration in YSZ/SnS₂/PANI films, enabling the sensor to withstand severe folding/bending deformation. The organic PANI sheath endows the YSZ/SnS₂/PANI-based gas sensor with enhanced toughness (0.66 kJ·m^–3), stable electrical connection, and excellent robustness. The unique protonation/deprotonation sensing mechanism, coupled with the heterojunction effect of the sensing layer, ensures outstanding selectivity (sensor immunity coefficient ≈ 69%) and a high response to NH₃. To support wearable applications, the sensing signals from the wearable sensor are transmitted wirelessly via Bluetooth and displayed on a smartphone. This work greatly advances the application of a wearable semiconductor sensor in personal disease diagnosis.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"148 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144067001","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":"Bioinspired Substrate Structures for High-Performance Room-Temperature Chemiresistive Gas Sensors","authors":"Yue Liu, Fengchun Tian, James A. Covington, Zhiyuan Wu, Li Hu, Hantao Li","doi":"10.1021/acssensors.5c00028","DOIUrl":"https://doi.org/10.1021/acssensors.5c00028","url":null,"abstract":"In the field of gas sensors, there is a growing demand for efficient gas detection. Current research mainly focuses on the selection and optimization of sensing materials, while the geometry of sensors is often ignored. Most sensors are designed with simple planar or cylindrical geometries. In this work, biomimetic sensor structures were built, inspired by the olfactory turbinate of the Labrador retriever. Computational fluid dynamics (CFD) simulations revealed that the biomimetic structure enhances sensing performance by optimizing the flow field distribution and increasing the local concentration and surface adsorption concentration around the sensor. To validate these biomimetic structures, we developed high-performance room-temperature chemiresistive gas sensors. We shaped the flexible sensors into forms mimicking canine turbinates and validated the impact of these structures on sensor performance. Experimental results show that the biomimetic sensors have an average response of 390% to 100 ppm of NH₃, which is 5.62 times higher than that of traditional, non-biomimetic sensors.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"41 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144067090","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}