Analytical Methods最新文献

{"title":"Fluorescence anisotropic probe for sensing cardiac troponin-I antigen through Target-specific antibody-conjugated gold nanoclusters","authors":"S. Madanan Anju, Susan Varghese, Merin K Abraham, Ali Ibrahim Shkhair, Greeshma Rajeevan, Geneva Indongo, B. K. Arathy, Sony George","doi":"10.1039/d4ay01240b","DOIUrl":"https://doi.org/10.1039/d4ay01240b","url":null,"abstract":"Fluorescence anisotropy (FA) is a versatile and efficient platform for developing biosensors that rely on the rate of rotations of fluorescence molecular entities in biochemical systems. However, by virtue of its intricate complexity, FA is a neglected and less explored area for developing biosensors. Herein, we experimented with the possibility of developing a fluorescence anisotropic probe to detect cardiac troponin I (cTnI), the gold standard biomarker for acute myocardial infarction, via target-specific monoclonal antibody-conjugated gold nanoclusters. The successful detection of cTnI antigen in clinically relevant concentration with a low detection limit of 0.91 ng/mL was achieved. The specific molecular interaction between the cTnI antigen and its monoclonal antibody tagged at the surface of gold nanoclusters has restricted the free rotation of gold nanoclusters and increased the FA value. This incremental increase in FA can be correlated to the concentration of cTnI antigen in the sample, thereby achieving the quantitative linear detection of cTnI.","PeriodicalId":64,"journal":{"name":"Analytical Methods","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A ‘click’ based fluorescent probe mimicking the IMPLICATION logic gate for Cu(ii) and Pb(ii) sensing: DFT and molecular docking studies†","authors":"Gurleen Singh, Gurjaspreet Singh, Sushma, Gagandeep Kaur, Gurpreet Kaur, Harminder Singh and Jandeep Singh","doi":"10.1039/D4AY01197J","DOIUrl":"10.1039/D4AY01197J","url":null,"abstract":"<p >‘Click’ derived 1,2,3-triazole appended scaffolds are intriguing candidates for selective metal ion recognition because of their stereospecificity and efficiency. The presented report uses the ‘click’ approach to introduce a glyoxal bis-(2-hydroxyanil)-based chemosensor probe (GT) <em>via</em> the CuAAC pathway, which can selectively detect Cu(<small>II</small>) and Pb(<small>II</small>) ions, both of which are among the most hazardous and perturbing environmental pollutants. NMR spectroscopy, IR spectroscopy, and mass spectrometry (LCMS) were used to successfully characterize the synthesized probe. The discerning recognition behaviour of the probe for Cu(<small>II</small>) and Pb(<small>II</small>) ions was established through a chemosensing investigation using fluorescence and UV-vis spectroscopy, wherein the fluorescence spectral analysis demonstrated the probe to mimic the IMPLICATION logic gate. Furthermore, the metal–ligand interaction was also validated by <small>¹</small>H NMR and IR spectroscopy of the synthesized GT–metal complex, and UV-vis spectroscopy was also employed to analyze the effect of time and temperature on the capacity of the probe to bind with Cu(<small>II</small>) and Pb(<small>II</small>) ions. Furthermore, the sensor's atherosclerosis-inhibition potential was investigated <em>in silico</em> utilizing docking analysis with tribbles-1 protein, and a density functional theory (DFT) study enhanced the understanding of its structure using the B3LYP functional and the 6311G++(d,p) basis set.</p>","PeriodicalId":64,"journal":{"name":"Analytical Methods","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142118382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring soil multi-parameter stacking measurement through Raman and NIR dual-spectroscopy","authors":"Qiong Sang, Xiaoyu Zhao, Yue Zhao, Lijing Cai, Jinming Liu, Liang Tong, Zhe Zhai","doi":"10.1039/d4ay01202j","DOIUrl":"https://doi.org/10.1039/d4ay01202j","url":null,"abstract":"The excessive use of fertilizers can lead to increased production costs, degraded soil quality, diminished product excellence, and environmental contamination. To address this issue, a solution involving soil testing and customizing fertilizer application has been proposed. The current standard methodology for soil parameter assessment relies on chemical analysis performed by trained laboratory technicians, which only allows for the measurement of one indicator at a time. Hence, a novel approach utilizing the fusion of near-infrared (NIR) and Raman dual-spectral features has been suggested to simultaneously determine five crucial indicators (hydrolyzed N, available P, quick-release K, OM, and pH) in soil with a single scan. In this research, seven preprocessing techniques and four feature extraction methods were initially explored to optimize the composite NIR and Raman feature variables. Subsequently, a regressor with a two-layer network structure (RF, LR, SVR; ELM, and PLS) was developed using the stacking algorithm. This methodology synergizes the strengths of the five base learners, minimizes the risk of overfitting, and demonstrates high computational efficiency for linear data correlations and robust fitting capabilities for nonlinear data correlations. Additionally, it showcases strong generalization capabilities, noise resilience, and robustness. The model produced relevant results for hydrolyzed N, available P, quick release K, OM, and pH measurements, with <em>R</em><small>_p</small><small>²</small> values of 0.9966, 0.9722, 0.9855, 0.9557, and 0.9951, RMSEP values of 2.9547, 2.9972, 7.6550, 0.0765, and 0.0313, and RPD values of 6.0855, 2.4655, 3.0511, 8.3084, and 10.6977. This work delivers a twofold contribution by presenting a swift method for simultaneous measurement of multiple soil parameters, enabling concurrent ploughing, soil surveying, and fertilizer application. Furthermore, it introduces a stacking measurement model based on dual fusion features, showcasing detailed model parameters. The stacking model outperformed mono-spectral models (NIR and Raman) and the dual PLS model in terms of <em>R</em><small>_p</small><small>²</small>, RPD, and RMSEP values, and fluctuation ranges, demonstrating enhanced stability, predictive prowess, and reliable observations. Overall, the stacking model offers a cost-effective, rapid, and precise solution for online evaluation of soil physicochemical conditions, catering to the requirements of modern agricultural production well. This innovative approach signifies a significant leap forward and provides a solid theoretical foundation for the enhancement of associated online monitoring systems and tools.","PeriodicalId":64,"journal":{"name":"Analytical Methods","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deep learning assisted quantitative detection of cardiac troponin I in hierarchical dendritic copper–nickel nanostructure lateral flow immunoassay","authors":"Shenglan Zhang, Liqiang Chen, YuXin Tan, Shaojie Wu, Pengxin Guo, Xincheng Jiang, Hongcheng Pan","doi":"10.1039/d4ay01187b","DOIUrl":"https://doi.org/10.1039/d4ay01187b","url":null,"abstract":"The rising demand for point-of-care testing (POCT) in disease diagnosis has made LFIA sensors based on dendritic metal thin film (HD-nanometal) and background fluorescence technology essential for rapid and accurate disease marker detection, thanks to their integrated design, high sensitivity, and cost-effectiveness. However, their unique 3D nanostructures cause significant fluorescence variation, challenging traditional image processing methods in segmenting weak fluorescence regions. This paper develops a deep learning method to efficiently segment target regions in HD-nanometal LFIA sensor images, improving quantitative detection accuracy. We propose an improved UNet++ network with attention and residual modules, accurately segmenting varying fluorescence intensities, especially weak ones. We evaluated the method using IoU and Dice coefficients, comparing it with UNet, Deeplabv3, and UNet++. We used an HD-nanoCu-Ni LFIA sensor for cardiac troponin I (cTnI) as a case study to validate the method's practicality. The proposed method achieved a 96.3% IoU, outperforming other networks. The <em>R</em><small>²</small> between characteristic quantity and cTnI concentration reached 0.994, confirming the method's accuracy and reliability. This enhances POCT accuracy and provides a reference for future fluorescence immunochromatography expansion.","PeriodicalId":64,"journal":{"name":"Analytical Methods","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142227734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A flexible electrochemical sensor based on Fe-doped polydopamine derived carbon for simultaneous detection of dopamine and uric acid","authors":"Xinyu Wang, Wenbin Wang, Meng Gao, Min Fu, Linzheng Ma, Wei Chen","doi":"10.1039/d4ay00980k","DOIUrl":"https://doi.org/10.1039/d4ay00980k","url":null,"abstract":"A free-standing electrode was developed based on carbon cloth-supported Fe doped polydopamine derived carbon (Fe/PDA-C/CC) for detection of dopamine (DA) and uric acid (UA) simultaneously. First, dopamine was self-polymerized on the surface of carbon cloth to obtain the polydopamine coatings. Then, Fe3+ was introduced by the formation of coordinate bond with the hydroxyl functional group in the polydopamine layer. After calcination, a flexible and free-standing electrode was obtained. The sensing performance and mechanism of the Fe/PDA-C/CC sensor was investigated and discussed in detail. The experiment results demonstrated that the Fe/PDA-C/CC could simultaneous detection of DA and UA with a wide detection range of 0.5-300 μM and 0.5-400 μM, with low detection limits of 0.041 μM and 0.012 μM, respectively. Meanwhile, the Fe/PDA-C/CC possessed excellent anti-interference, repeatability, stability, as well as accuracy in real samples. Overall, this study provided a facile and effect approach for simultaneous detection of UA and DA.","PeriodicalId":64,"journal":{"name":"Analytical Methods","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Detection of gluten peptides in human duodenal fluids with immuno-liquid chromatography-mass spectrometry","authors":"Loïc Dayon, Antonio Núñez Galindo, Julien Chevalier, Michèl Aquarius, Britt Otten, Freddy J. Troost, Peter Duncan, Michael Affolter","doi":"10.1039/d4ay00852a","DOIUrl":"https://doi.org/10.1039/d4ay00852a","url":null,"abstract":"Gluten proteins are storage proteins in wheat that exhibit a certain resistance to gastrointestinal digestion. To explore solutions to cope with accidental ingestion of gluten in individuals suffering from gluten-related disorders, it is essential to monitor the fate of gluten peptides in biological samples, <em>i.e.</em>, gastrointestinal juices, blood plasma or urine. In this work, we aimed at developing a mass spectrometry (MS)-based method for measuring gluten peptides in human duodenal fluids. Seven gluten peptides, including the well-documented 33-mer gluten peptide (LQLQPFPQPQLPYPQPQLPYPQPQLPYPQPQPF), were selected after a literature review and characterization of a gluten-containing product. Isotopically labelled peptides were used as references and a targeted liquid chromatography (LC) MS assay based on high resolution parallel reaction monitoring (PRM) was designed. Despite iterative and fine tuning of the LC-PRM-MS method, the low level of endogenous gluten peptides in human duodenal fluid samples precluded their direct detection. Thus, an initial immunoprecipitation (IP) step was included. Several antibodies were tested, and one proved reliable for the enrichment of the 33-mer gluten peptide as well as a few additional gluten peptides. Figures-of-merits of the immuno-LC-PRM-MS assay were assessed with a focus on quantification trueness and precision. We have developed an MS-based method for measuring the 33-mer gluten peptide in human duodenal fluids. Based on isotopic dilution, the method relies on the combination of IP and LC-PRM-MS analysis. Measurements were shown to be sensitive, quantitative, and reproducible.","PeriodicalId":64,"journal":{"name":"Analytical Methods","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A rapid optimization method for Sepbox system separation using HPTLC: an application of Cerbera manghas L. separation†","authors":"Ta-Wei Liu, Po-Yen Lin, Man-Hsiu Chu, San-Yuan Wang and Ching-Kuo Lee","doi":"10.1039/D4AY00687A","DOIUrl":"10.1039/D4AY00687A","url":null,"abstract":"<p >The rapid isolation of natural products and efficient drug screening are pivotal in expediting drug development. Techniques ranging from traditional open column chromatography to medium-pressure liquid chromatography (MPLC), and the latest Sepbox technology, have been developed to accelerate separation processes and streamline drug development timelines. The Sepbox system combines two-dimensional high-performance liquid chromatography (2D-HPLC) and solid-phase extraction (SPE) technologies, coupled with UV and evaporative light scattering detection (ELSD) systems, offering various column options to cater to diverse sample requirements. Furthermore, the Sepbox system automates and expedites sample fractionation into numerous fractions, facilitating subsequent high-throughput screening and analysis. Despite previous emphasis on 2D-HPLC development, optimizing separation conditions with the Sepbox system poses challenges due to the requirement for substantial sample and solvent quantities, limiting its practicality compared to conventional methods. Hence, this study employed eight standard compounds to explore the correlation between retention factor (<em>R</em><small>_f</small>) values obtained from high-performance thin-layer chromatography (HPTLC) plates and retention times on the Sepbox main column. Mass spectrometry was utilized to confirm the retention times of the standard compounds. The findings yielded a conversion equation between HPTLC <em>R</em><small>_f</small> values and Sepbox main column retention times, thereby enhancing the separation efficiency of Sepbox 2D-2000 system. Finally, the efficacy of this method was validated using <em>Cerbera manghas</em> leaf crude extracts and its purified compounds, demonstrating the rapid optimization of suitable elution conditions for the Sepbox 2D-2000 system using HPTLC.</p>","PeriodicalId":64,"journal":{"name":"Analytical Methods","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142118383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A hemin/rGO/MWCNT nanocomposite-based dual signal electrochemical aptasensor for sensitive detection of NSE","authors":"Huyue Wei, Mingzhu Yang, Chengshuai Huang, Xiaojie Yue, Jiabin Cai, Xinyi Wang, Kai Fan, Linxi Dong, Gaofeng Wang, Dujuan Li","doi":"10.1039/d4ay01238k","DOIUrl":"https://doi.org/10.1039/d4ay01238k","url":null,"abstract":"Neuron-specific enolase (NSE), a tumor marker of small cell lung cancer (SCLC), has high application value in the early diagnosis of SCLC. In this study, a dual signal electrochemical aptasensor for NSE was constructed based on hemin/reduced graphene oxide/multi-walled carbon nanotube (H–rGO–MWCNT) nanocomposites. Hemin played a dual role, functioning not only as an <em>in situ</em> electrochemical probe but also exhibiting excellent peroxidase-like properties, effectively catalyzing the electroreduction of H<small>₂</small>O<small>₂</small>. Reduced graphene oxide and multi-walled carbon nanotubes exhibited excellent conductivity. Through their binding with hemin, the nanocomposites achieved a larger specific surface area, providing numerous active sites for capturing the NSE aptamer. In the presence of NSE, the specific adsorption between the antigen and the aptamer formed a stable antigen–aptamer structure, which inhibited the performance of hemin, resulting in the weakening of the electrochemical signals of hemin and H<small>₂</small>O<small>₂</small>. Leveraging these characteristics, the sensitive and cost-effective dual-signal electrochemical aptasensor has been fabricated for the detection of NSE. One signal corresponded to differential pulse voltammetry (DPV) of hemin, while the other signal was derived from chronoamperometry, capturing the catalytic reduction of H<small>₂</small>O<small>₂</small>. The linear ranges for NSE were 1 pg mL<small>⁻¹</small> to 1 μg mL<small>⁻¹</small> and 100 pg mL<small>⁻¹</small> to 100 ng mL<small>⁻¹</small> with the limit of detection (LOD) of 0.21 pg mL<small>⁻¹</small> and 11.22 pg mL<small>⁻¹</small> by DPV and chronoamperometry, respectively. In addition, this aptasensor exhibited good reproducibility, stability and specificity. The recovery of NSE in human blood serum samples was from 89% to 131%. It provided a promising strategy for the detection of NSE in clinical diagnostics.","PeriodicalId":64,"journal":{"name":"Analytical Methods","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A novel turn-off green carbon dot-based fluorescent probe for selective determination of nitrazepam in its pharmaceutical dosage form and milk samples†","authors":"Amir Shaaban Farag, Mohamed Rizk, Omaima Mahmoud Mohamed and Marwa Mohamed Azab","doi":"10.1039/D4AY01216J","DOIUrl":"10.1039/D4AY01216J","url":null,"abstract":"<p >In this study, a new, rapid, simple, and cost-effective fluorescent probe based on carbon dots (CDs) has been developed for the selective determination of nitrazepam (NZP). The CDs were synthesized with high production yield (71.43%) through one step carbonization of dried banana peels. The fluorescence intensity of the CDs is quenched by increasing the NZP concentration as a result of the inner-filter effect and dynamic quenching mechanism. This fluorescent sensor effectively quantified NZP in the linear range of 0.30–26 μg mL<small>⁻¹</small>, with a limit of detection of 0.10 μg mL<small>⁻¹</small>. The performance of the sensor was validated according to ICH guidelines and exhibited high precision and accuracy. The proposed method was also successfully extended for determining NZP in tablet dosage form and milk samples.</p>","PeriodicalId":64,"journal":{"name":"Analytical Methods","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142102262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Magnetic solid phase extraction coupled with LC-MS/MS methods for the simple extraction and rapid determination of sugammadex in human plasma","authors":"Yanan Wang, Yinyin Qu, Yi Jiang, Zhuo Li, Xiaofei Hou, Li Yang, Libo Zhao, Xin Xiong, Mao Xu","doi":"10.1039/d4ay01185f","DOIUrl":"https://doi.org/10.1039/d4ay01185f","url":null,"abstract":"Sugammadex (SUG), fast reversal of neuromuscular blockade, is a novel antagonist of neuromuscular blocking agents (NMBA). Rocuronium, one of NMBAs, is usually used to get better surgical conditions in kidney transplant surgeries. Nevertheless, rocuronium has lots of shortages, such as increasing risk of pulmonary complications. Thus, SUG is vital to kidney transplant surgery. However, because SUG is excreted by the kidneys in prototypes, the pharmacokinetics (PK) may be affected in patients with renal impairment. A liquid chromatography tandem mass spectrometry (LC-MS/MS) method was developed to monitor the SUG plasma samples to investigate the PK of SUG in kidney transplant patients. Due to the complexity and limitation of other sample preparation methods, magnetic solid phase extraction (MSPE）was adopted to purify samples. The chromatographic separation was obtained by using a reverse Polaris C18 column and gradient elution with 0.1% formic acid (FA) in water as phase A and in methanol (MeOH) as phase B as mobile phases. The transitions 999.7→963.9 (m/z) and 1055.7→1012.2 (m/z) were used to quantify of SUG and ORG26265 separately under the negative electrospray ionization mode. Linear calibration curve was achieved in the concentration varying from 100 to 10000 ng/ml. The acceptable accuracy varied from 95.72% to 106.42% and intra- and inter-precision did not exceed 15% (20% at the lower limit of quantitation (LLOQ)). Matrix effect, stability, dilution integrity, and carry-over have all been validated. This method was successfully applied for the pharmacokinetic study of 13 recipients and 12 donors of kidney transplant after the intravenous injection of 2 mL/kg SUG.","PeriodicalId":64,"journal":{"name":"Analytical Methods","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}