{"title":"An integrated wearable microfluidic biosensor for simultaneous detection of multiple biomarkers in sweat.","authors":"Yong Zhang, Xin Zeng, Cuncun Wang, Yiyi Liu, Changpeng Jin, Jian Chen, Jingzhou Hou, Danqun Huo, Changjun Hou","doi":"10.1016/j.talanta.2024.127404","DOIUrl":"10.1016/j.talanta.2024.127404","url":null,"abstract":"<p><p>Simultaneous detection of biomarkers in sweat is crucial for comprehensive health assessment and personalized monitoring. However, the low sweat secretion rate and low metabolite concentrations present challenges for developing non-invasive wearable sensors. This study aims to develop a flexible wearable biosensor for simultaneous detection of low-concentration biomarkers in sweat, enabling comprehensive health assessment. This study synthesized an innovative bimetallic tungstate Ag@Ag<sub>2</sub>WO<sub>4</sub> and evaluated its performance for detecting uric acid (UA, 10-1000 μM), dopamine (DA, 3-500 μM), and tyrosine (Tyr, 5-1000 μM). The detection limits (LODs) for DA, UA, and Tyr sensors were 3.10 μM, 8.47 μM, and 4.17 μM, respectively, with relative standard deviations (RSDs) of 4.76 %, 2.66 %, and 3.51 %, respectively. Additionally, this study designed a hydrophilic microfluidic collection system inspired by bamboo leaf structures to enhance sweat collection efficiency. Validation studies demonstrated that the wearable biosensor effectively detects UA and TA in the sweat of volunteers. We believe this research could contribute to advancing personalized healthcare by improving the convenience and effectiveness of health monitoring technologies.</p>","PeriodicalId":435,"journal":{"name":"Talanta","volume":"285 ","pages":"127404"},"PeriodicalIF":5.6,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142870987","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 simply designed quasi-ratiometric fluorescence probe for the visual and on-site detection of levofloxacin (LVF) residues in milk and fish sample.","authors":"Xu Liu, Beibei Zhao, Xinfang Liu, Zheng Cheng, Xiaorui Yang, Xiaoyu Zhang, Xun Feng","doi":"10.1016/j.talanta.2024.127391","DOIUrl":"10.1016/j.talanta.2024.127391","url":null,"abstract":"<p><p>An europium metal organic framework (Eu-DBPA-Phen) was synthesized using 2,5-dibromoterephthalic acid (H<sub>2</sub>DBPA) and 1-10-phenanthroline (Phen) as ligands. A straightforwardc quasi-ratiometric fluorescence probe was then developed for the detection of levofloxacin (LVF) by the simplistic combination of red-emitting Eu-DBPA-Phen and the inherent blue auto-fluorescence of the target. The probe exhibits the advantages of wide linear range (0.01-50 and 50-175 μM), good selectivity, low detection limit (4.53 nM) and fast response time. In addition, a smartphone-assisted fluorescent test strip analysis platform was established for the visual and on-site detection of LVF in milk and fish samples, achieving satisfactory recovery rates ranging from 101.7 % to 103.4 % and low standard deviations (RSD ≤2.890, n = 3). Furthermore, a hierarchical clustering algorithm integrating machine learning and smartphone-test strip platform was devised to streamline the detection process. The proposed intelligent detection platform introduces a novel approach for LVF detection, thereby enhancing food safety and human health.</p>","PeriodicalId":435,"journal":{"name":"Talanta","volume":"285 ","pages":"127391"},"PeriodicalIF":5.6,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142875833","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}
TalantaPub Date : 2025-04-01Epub Date: 2024-12-20DOI: 10.1016/j.talanta.2024.127436
Gan Ning, Fang Wang, Huan Du, Ruyan Zhang, Xiaobing Huo, Xiufeng Wang, Ting Zhou, Guodong Zhang, Zhiqing Zhang
{"title":"Discrimination of normal/cancer cells in bioimaging through a rolling circle amplification-enhanced red carbon dots-embedded multivalent aptamers nanoplatform.","authors":"Gan Ning, Fang Wang, Huan Du, Ruyan Zhang, Xiaobing Huo, Xiufeng Wang, Ting Zhou, Guodong Zhang, Zhiqing Zhang","doi":"10.1016/j.talanta.2024.127436","DOIUrl":"10.1016/j.talanta.2024.127436","url":null,"abstract":"<p><p>Glutathione (GSH) is a key biomarker closely associated with cancer, and its content varies greatly between normal cells and cancer cells. However, intracellular detection of GSH was challenging because existing probes not only have a long detection time but also have fluorescence in the blue-green region that overlaps with the biological matrix's spontaneous fluorescence, thus affecting the detection accuracy. Therefore, a new red fluorescent nano-probe was needed to rapidly and accurately detected GSH within the biological matrix. Herein, red carbon dots (R-CDs) synthesized via hydrothermal method using N-(4-amino phenyl) acetamide and 4-Bromo-1,2-diaminobenzene as precursors offer enhanced fluorescence that could be quenched by MnO<sub>2</sub> nanosheets (MnO<sub>2</sub> NS) and restored by GSH. By combining R-CDs with the AS1411 aptamer and using rolling circle amplification, a multivalent aptamer modified R-CDs assembly (Assembly@R-CDs) was created for swift cancer cell targeting. Compared to monomeric aptamer, such multivalent aptamers exhibited higher affinity and selectivity, thereby enhancing the specificity and sensitivity of detection. After the fluorescence of the multivalent assembly was quenched by MnO<sub>2</sub> NS (Assembly@R-CDs@MnO<sub>2</sub> NS), it could be restored when targeting cancer cells, which could realize the distinction between normal cells and cancer cells. The experiment showed that 4T1 cancer cells took up more Assembly@R-CDs@MnO<sub>2</sub> NS than L929 normal cells and generated stronger fluorescence, indicating the high selectivity for cancer cell detection. The potential of such nanosystem for tumor diagnosis combination therapy is promising, especially considering the embedding properties of anthracene drugs such as doxorubicin in DNA carriers.</p>","PeriodicalId":435,"journal":{"name":"Talanta","volume":"285 ","pages":"127436"},"PeriodicalIF":5.6,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142884922","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":"Microscale quantitation of heavy metals by back-scattering interferometry in conjunction with photothermal effect using a single laser beam.","authors":"Xiaoliang Zhang, Xiaohong Chen, Xiaofang Shi, Xiaochun Li, Hua-Zhong Yu","doi":"10.1016/j.talanta.2024.127390","DOIUrl":"10.1016/j.talanta.2024.127390","url":null,"abstract":"<p><p>A microanalytical technique based on the photothermal effect in conjunction with back-scattering interferometry (BSI) using a single laser beam was developed for quantitative detection of heavy metals. After the chromogenic reaction of an analyte in a capillary tube, the photothermal effect induced by irradiation with the same laser beam leads to a change of the refractive index of the solution, which can be \"quantified\" using the BSI technique. For prove-of-concept, Cu(II) was chosen as the trial analyte, for which the solution changes to purplish through reacting with the chromogenic reagent; a single laser beam of 532 nm was adapted for both inducing the photothermal effect and realizing BSI detection. With as little as 1.0 μL solution, a limit of detection (LOD) of 0.10 mg/L for Cu(II) was achieved. In addition, the versatility of the technique was demonstrated by detecting other two heavy metal ions, Fe(II) and Cr(VI), with limits of detection of 0.06 mg/L and 0.04 mg/L, respectively. The demonstrated detection sensitivity, application versatility, and instrumentation simplicity of this new technique promises it as a practical tool for environmental monitoring and beyond.</p>","PeriodicalId":435,"journal":{"name":"Talanta","volume":"285 ","pages":"127390"},"PeriodicalIF":5.6,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142891213","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}
TalantaPub Date : 2025-04-01Epub Date: 2024-12-19DOI: 10.1016/j.talanta.2024.127416
Fatemeh Heydari, Tahere Khezeli, Ali Daneshfar
{"title":"Superwettable recycled polyethylene terephthalate/cobalt zeolitic imidazolate framework membrane for extraction of polycyclic aromatic hydrocarbons from water samples.","authors":"Fatemeh Heydari, Tahere Khezeli, Ali Daneshfar","doi":"10.1016/j.talanta.2024.127416","DOIUrl":"10.1016/j.talanta.2024.127416","url":null,"abstract":"<p><p>A significant challenge in membrane production is the need for affordable materials that provide high efficiency for their designated applications. Employing recycled materials in membrane manufacturing is viewed as a promising solution to tackle this challenge. In this work, a superwettable polyethylene terephthalate membrane modified with cobalt zeolitic imidazolate framework (PET/Co ZIF) is prepared for the first time from recycled plastic mineral water bottles and used to extract polycyclic aromatic hydrocarbons (PAHs) from aqueous samples followed by high-performance liquid chromatography with UV detection (HPLC-UV). The characterization of functional groups, crystalline structure, elemental analysis, morphology, and wettability of membrane was performed by Fourier transform-infrared (FT-IR), X-ray powder diffraction (XRD), field emission-scanning electronic microscope (FE-SEM), energy dispersion spectroscopy (EDS) and contact angles techniques, respectively. The effect of type of eluent and membrane was investigated and optimized. After studying the effect of other factors named volume of eluent, sample pass cycles and ionic strength of sample solution by Box-Behnken design (BBD) and response surface methodology (RSM), a linear range of 0.1-600 μg/L with a coefficient of determination (R<sup>2</sup>) of more than 0.9982 was obtained for fluorene, phenanthrene, pyrene and chrysene. The limit of detection for the mentioned compounds was in the range of 0.05-0.34 μg/L. This method was successfully applied to determine PAHs in river water and wastewater samples. The relative recovery of more than 88.0 % and the error of less than 5.7 % indicate the applicability of this method.</p>","PeriodicalId":435,"journal":{"name":"Talanta","volume":"285 ","pages":"127416"},"PeriodicalIF":5.6,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142871011","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}
TalantaPub Date : 2025-04-01Epub Date: 2024-12-18DOI: 10.1016/j.talanta.2024.127427
Rui Gao, Jiaxin Yin, Ruonan Liu, Yang Liu, Jiaxuan Li, Lei Dong, Weiguang Ma, Lei Zhang, Peihua Zhang, Zhihui Tian, Yang Zhao, Wangbao Yin, Suotang Jia
{"title":"A novel particle size distribution correction method based on image processing and deep learning for coal quality analysis using NIRS-XRF.","authors":"Rui Gao, Jiaxin Yin, Ruonan Liu, Yang Liu, Jiaxuan Li, Lei Dong, Weiguang Ma, Lei Zhang, Peihua Zhang, Zhihui Tian, Yang Zhao, Wangbao Yin, Suotang Jia","doi":"10.1016/j.talanta.2024.127427","DOIUrl":"10.1016/j.talanta.2024.127427","url":null,"abstract":"<p><p>The combined application of near-infrared spectroscopy (NIRS) and X-ray fluorescence spectroscopy (XRF) has achieved remarkable results in coal quality analysis by leveraging NIRS's sensitivity to organic compounds and XRF's reliability for inorganic composition. However, variations in particle size distribution negatively affect the diffuse reflectance of NIRS and the fluorescence signal intensities of XRF, leading to decreased accuracy and repeatability in predictions. To address this issue, this study innovatively proposes a particle size correction method that integrates image processing and deep learning. The method first captures micro-images of the coal sample surface using a microscope camera and employs the Segment Anything Model (SAM) for binarization to represent particle size distribution. Subsequently, a Spatial Transformer Network (STN) is applied for geometric correction, followed by feature extraction using a Convolutional Neural Network (CNN) to establish a correlation model between particle size distribution and ash measurement errors. In experiments involving 56 coal samples, including 48 at 0.2 mm for the standard ash prediction model and 8 within a 0∼1 mm range for correction, the results showed significant improvements: standard deviation (SD), mean absolute error (MAE), and root mean square error of prediction (RMSEP) decreased from 0.321%, 0.317%, and 0.335% to 0.229%, 0.225%, and 0.257%, respectively. Using the accuracy of the 0.2 mm particle size validation set as a reference, compared to before correction, the errors in these metrics were reduced by 64.06%, 50%, and 60.80%, respectively. This study demonstrates that integrating deep learning and image analysis significantly enhances the repeatability and accuracy of NIRS-XRF measurements, effectively mitigating sub-millimeter particle size effects on spectral detection results and improving model adaptability. This method, through automated particle size distribution analysis and real-time result correction, holds promise for providing essential technical support for the development of online quality detection technologies for conveyor belt materials.</p>","PeriodicalId":435,"journal":{"name":"Talanta","volume":"285 ","pages":"127427"},"PeriodicalIF":5.6,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142875829","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}
TalantaPub Date : 2025-04-01Epub Date: 2024-12-19DOI: 10.1016/j.talanta.2024.127387
Wenqing Shao, Xiaoting Liu, Yi Zhou
{"title":"Magnetic separation-assisted DNAzyme walker-based nanosensor for point-of-care therapeutic drug monitoring of methotrexate.","authors":"Wenqing Shao, Xiaoting Liu, Yi Zhou","doi":"10.1016/j.talanta.2024.127387","DOIUrl":"10.1016/j.talanta.2024.127387","url":null,"abstract":"<p><p>Methotrexate (MTX) is a widely used antimetabolite drug, mainly used in the treatment of a variety of cancer. Given the low therapeutic index and significant individual variability of MTX, it was critical to perform therapeutic drug monitoring (TDM) to minimize the side effects. Here, we designed a rapid and sensitive fluorescence/colorimetric assay for the detection of MTX in diluted human serum. After the aptamer binds specifically to MTX, the Walking strand cleaves the Hairpin strand and releases a large amount of fluorescent signal, and the color of the gold nanoparticles changes after the addition of sodium chloride. The change of color could be visualized by eyes to achieve point-of-care TDM of MTX. The quantitative detection of MTX concentration is carried out through the collection of fluorescent signals or absorptions. The fluorescence method can detect MTX in the range of 0.05-1000 μM with the detection limit of 0.0243 μM, meanwhile, the colorimetric method can detect MTX in the range of 0.01-100 μM with the detection limit of 0.0097 μM. The magnetic separation-assisted DNAzyme walker-based nanosensor exhibited good sensitivity, selectivity and stability for detecting MTX in serum and achieve point-of-care methods of TDM of MTX and the nanocarriers has demonstrated significant potential for clinical application.</p>","PeriodicalId":435,"journal":{"name":"Talanta","volume":"285 ","pages":"127387"},"PeriodicalIF":5.6,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142871007","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}
TalantaPub Date : 2025-04-01Epub Date: 2024-12-12DOI: 10.1016/j.talanta.2024.127346
Qi Liu, Zongyi Li, Caifeng Zou, Shi Feng, Juncheng Song, Xiangyang Li
{"title":"Corrigendum to 'A novel four-modal nano-sensor based on two-dimensional Mxenes and fully connected artificial neural networks for the highly sensitive and rapid detection of ochratoxin A' [Talanta 283 (2025) 127157].","authors":"Qi Liu, Zongyi Li, Caifeng Zou, Shi Feng, Juncheng Song, Xiangyang Li","doi":"10.1016/j.talanta.2024.127346","DOIUrl":"10.1016/j.talanta.2024.127346","url":null,"abstract":"","PeriodicalId":435,"journal":{"name":"Talanta","volume":" ","pages":"127346"},"PeriodicalIF":5.6,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142821693","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}
TalantaPub Date : 2025-04-01Epub Date: 2024-12-18DOI: 10.1016/j.talanta.2024.127425
Rachel Bergin, Kyle Samperton, Michael Bronikowski, Eric Hoar, John Rolison, Quinn Shollenberger, Naomi Marks, Matthew Wellons, Spencer Scott
{"title":"Synthesis and characterization of isotopically barcoded nickel, molybdenum, and tungsten taggants for intentional nuclear forensics.","authors":"Rachel Bergin, Kyle Samperton, Michael Bronikowski, Eric Hoar, John Rolison, Quinn Shollenberger, Naomi Marks, Matthew Wellons, Spencer Scott","doi":"10.1016/j.talanta.2024.127425","DOIUrl":"10.1016/j.talanta.2024.127425","url":null,"abstract":"<p><p>Intentional nuclear forensics is a concept wherein the deliberate addition of benign and persistent material signatures to nuclear material can be used to reduce the time between the discovery of material outside of regulatory control and determination of its original provenance. One concept within intentional nuclear forensics involves the use of perturbed stable isotopes to generate unique isotope ratio \"barcodes\" to encode information (e.g., production batch, location, etc.) and track material throughout the nuclear fuel cycle. Synthesis of taggant species of nickel (Ni), molybdenum (Mo), and tungsten (W) was undertaken via a double-spike mechanism, wherein two highly enriched isotopes of interest per elemental taggant were mixed to form an enriched \"double-spike\" which was subsequently isotopically diluted with bulk material having a natural isotopic composition. Two taggant species perturbing isotopic ratios, alpha (α) and beta (β), for each of Ni, Mo, and W were synthesized. Independent measurements of double spikes and alpha and beta taggant species agreed within uncertainty and are clearly resolvable from natural compositions. High-precision analyses were independently performed by MC-ICP-MS at two U.S. National Laboratories, with consensus values and uncertainties calculated for all samples. Observed isotopic perturbations in the final taggant species measured on the order of hundreds to thousands of permille (‰) with respect to natural for isotope ratios of interest (e.g., <sup>60</sup>Ni/<sup>58</sup>Ni, <sup>100</sup>Mo/<sup>98</sup>Mo, <sup>186</sup> W/<sup>183</sup>W). Discrepancies between modeled and measured isotopic compositions were observed and are largely attributed to imprecise vendor assay values for starting materials. Using measured starting material compositions as inputs for the mixing model improved the level of agreement between predicted and measured α and β taggant isotope ratios. Overall, characterization of all taggant species demonstrates that this \"barcode\" concept could have viability for use in nuclear forensics. It is expected that for any two-isotope mixing array dozens of isotopic barcodes could be encoded into a material system and subsequently resolved utilizing modern mass spectrometric methods.</p>","PeriodicalId":435,"journal":{"name":"Talanta","volume":"285 ","pages":"127425"},"PeriodicalIF":5.6,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142885035","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":"Operando bonding nickel thiolate with CdS as efficient photocatalyst for hydrogen evolution.","authors":"Rui Chen, Xueting Niu, Wangxuan Li, Hou Li, Yulin Li, Qingwen Han, Wanggang Fang, Liqing He, Huiping Zhao, Fan Tian","doi":"10.1016/j.jcis.2024.12.141","DOIUrl":"10.1016/j.jcis.2024.12.141","url":null,"abstract":"<p><p>Employing metallic nanoclusters as cocatalysts for semiconductor-based photocatalysts and understanding their roles in enhancing photocatalytic performance is crucial. Herein, a nickel thiolate with cyclohexanethiol as the ligands (i.e. Ni<sub>4</sub>(S-cy)<sub>8</sub>, cy = cyclohexyl) was synthesized and developed as the cocatalyst for CdS to promote its photocatalytic activity for hydrogen evolution. With a 5 wt% cluster loading, the obtained samples achieve a hydrogen evolution efficiency of approximately 106 mmol g<sub>cat</sub><sup>-1</sup> h<sup>-1</sup> under visible light irradiation, which is five times higher than that of pure CdS. The enhanced catalytic activity is attributed to the removal of ligands from the nickel clusters during photocatalysis, which allows the nickel clusters to embed themselves onto the CdS surface through Ni-S bond interactions. This process generates nickel species on the CdS surface, facilitating the generation and separation of photoinduced electron-hole pairs and thereby enhancing photocatalytic performance. This work highlights the importance of the dynamic evolution of nanoclusters during catalysis and demonstrates the potential of leveraging catalytically inert species to form highly efficient component for photocatalysis.</p>","PeriodicalId":351,"journal":{"name":"Journal of Colloid and Interface Science","volume":"683 Pt 1","pages":"942-953"},"PeriodicalIF":9.4,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142880829","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}