Serkalem Abera, Estifanos Ele Yaya, Bhagwan Singh Chandravanshi
{"title":"Development of HPLC-DAD method for the separation and simultaneous determination of ten antibiotic residues in food and environmental samples using surface floating organic droplet-based air-assisted liquid-liquid micro-extraction","authors":"Serkalem Abera, Estifanos Ele Yaya, Bhagwan Singh Chandravanshi","doi":"10.1016/j.chroma.2025.465817","DOIUrl":"10.1016/j.chroma.2025.465817","url":null,"abstract":"<div><div>A high-performance liquid chromatography with diode-array detection (HPLC-DAD) method has been developed for the separation and simultaneous determination of ten multiclass antibiotics residues in various samples, including river water, irrigation dam water, hospital wastewater, cow urine, milk and sediment samples. For each antibiotics, the method exhibited strong linearity, with a coefficient of determination falling between 0.9982 and 0.9999. The ranges for the limits of detection and quantification were 0.07–0.15 and 0.26–0.49 μg/L, respectively. Good precision of the procedure was indicated by the repeatability and reproducibility studies, which ranged in % RSD from 1.03–3.78 and 2.03–5.10, respectively. The method has achieved a good recovery within the range of 87.3–100.8 %, which is acceptable. Additionally, a surface floating organic droplets-air assisted liquid-liquid micro extraction (SFOD-AALLME) has been optimized for the extraction of ten antibiotic residues from the various real samples. For all the multiclass antibiotic residues under study, the developed pre-concentration method (SFOD-AALLME) has proven its linearity, accuracy, and precision. Therefore, multiclass antibiotic residues could be selectively pre-concentrated, extracted, and determined in the cow urine and raw milk, sediment, environmental and wastewater samples, as well as in the samples with similar matrices.</div></div>","PeriodicalId":347,"journal":{"name":"Journal of Chromatography A","volume":"1748 ","pages":"Article 465817"},"PeriodicalIF":3.8,"publicationDate":"2025-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143578987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Adrian Schimek , Judy Ng , Federico Will , Jürgen Hubbuch
{"title":"Mechanistic modeling of the elution behavior and convective entrapment of vesicular stomatitis virus on an ion exchange chromatography monolith","authors":"Adrian Schimek , Judy Ng , Federico Will , Jürgen Hubbuch","doi":"10.1016/j.chroma.2025.465832","DOIUrl":"10.1016/j.chroma.2025.465832","url":null,"abstract":"<div><div>Developing a downstream purification process for replication-competent enveloped virus particles presents a significant challenge. This is largely due to the highly complex particle structures, as well as complexities of emerging purification modalities for such virus particles. In this study, an unexpected fluid-dynamic effect was observed during the elution of enveloped virus particles from an ion exchange chromatography monolith. This effect led to peak tailing and the separation of virus particle subpopulations. Upon considering possible causes, convective entrapment was identified as a plausible explanation. To investigate this effect, a mechanistic modeling approach representing the electrostatic resin interactions and the convective entrapment effect was implemented. The introduced Langmuir approximation of the convective entrapment showed good alignment with reference data from experiments. The model reproduced the retention effect, and furthermore suggested two virus particle populations due to the stronger retention effect on the tailing subpopulation caused by convective entrapment.</div></div>","PeriodicalId":347,"journal":{"name":"Journal of Chromatography A","volume":"1748 ","pages":"Article 465832"},"PeriodicalIF":3.8,"publicationDate":"2025-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143592873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wuxia Ge , Yumei Chen , Xinru Ding , Wentao Bi , David Da Yong Chen
{"title":"Green synthesis of magnetic aromatic polyamide composites via mechanochemical ball milling with a deep eutectic system for the magnetic solid-phase extraction of antibiotics from water","authors":"Wuxia Ge , Yumei Chen , Xinru Ding , Wentao Bi , David Da Yong Chen","doi":"10.1016/j.chroma.2025.465830","DOIUrl":"10.1016/j.chroma.2025.465830","url":null,"abstract":"<div><div>Magnetic aromatic polyamide (MAPA) composites were synthesized using a green mechanochemical ball milling process and used for magnetic solid-phase extraction (MSPE) and detection of trace level fluoroquinolone antibiotics (FQs) from water samples. The formation of MAPAs was facilitated by deep eutectic systems (DESys) created from magnetic beads and organic monomers during ball milling. A comprehensive study was conducted to investigate the kinetics, thermodynamics, and mechanisms of MAPA adsorption of ciprofloxacin hydrochloride (CIP) and ofloxacin (OFL) from water. The maximum adsorption capacities for CIP and OFL were found to be 151.5 mg/g and 164.1 mg/g, respectively. Additionally, the recyclability and selective adsorption capabilities of MAPAs were evaluated. MAPAs were subsequently used for MSPE of CIP and OFL in water samples. Both UV–Vis spectrometry and HPLC methods can be used for analysis, the MSPE-HPLC method showed superior linearity for CIP (0.06–1500 μg/L) and OFL (1–1200 μg/L), with <em>R²</em> values of 0.9995 and 0.9999, and limit of detection (LOD) as low as 0.006 μg/L and 0.02 μg/L, respectively. Both analytical methods are highly effective and practical for use with real water samples. MAPA used for MSPE offer a promising green approach for detecting antibiotic contamination in aquatic ecosystems.</div></div>","PeriodicalId":347,"journal":{"name":"Journal of Chromatography A","volume":"1747 ","pages":"Article 465830"},"PeriodicalIF":3.8,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143551530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jianglei Zhang, Yu Ren, Jin Zeng, Liuwei Zhang, Ming Cai, Lili Lan, Guoxiang Sun
{"title":"An quality evaluation method based on three-dimensional integration and machine learning: Advanced data processing","authors":"Jianglei Zhang, Yu Ren, Jin Zeng, Liuwei Zhang, Ming Cai, Lili Lan, Guoxiang Sun","doi":"10.1016/j.chroma.2025.465826","DOIUrl":"10.1016/j.chroma.2025.465826","url":null,"abstract":"<div><div>This study presents an innovative approach for the quality evaluation of traditional Chinese medicine (TCM) by integrating three-dimensional (3D) data processing with machine learning, aimed at enhancing the efficiency and accuracy of HPLC-DAD data analysis. Through 3D data integration, multi-dimensional signals from the time and wavelength domains are transformed into two-dimensional data, simplifying the analytical process while ensuring precise quantification of component contents. Building on this foundation, dynamic time warping (DTW) and correlation optimized warping (COW) algorithms were applied to effectively resolve retention time drift across different sample batches, achieving both global and local alignment of chromatographic peak shapes. A Binary Evaluation System (BES), incorporating macro qualitative similarity (<strong><em>S</em></strong><sub>m</sub>) and macro quantitative similarity (<strong><em>P</em></strong><sub>m</sub>), was employed to provide a comprehensive assessment of the quality of TCM samples. Additionally, machine learning models such as Multiple Linear Regression (MLR), Decision Tree Regression (DTR), and Random Forest Regression (RFR) were introduced to further improve the automation and accuracy of the evaluation system. In the analysis of 20 Scutellaria baicalensis samples, the method demonstrated a prediction error range of ±0.2 % for Baicalin content. This approach not only enhances data processing efficiency and reduces experimental resource consumption but also provides a robust theoretical and technical foundation for TCM quality assessment. Ultimately, the results of this study confirm the broad applicability of 3D integration and machine learning in TCM quality control, offering innovative technical support for the modernization of TCM quality evaluation systems.</div></div>","PeriodicalId":347,"journal":{"name":"Journal of Chromatography A","volume":"1747 ","pages":"Article 465826"},"PeriodicalIF":3.8,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143551529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jiaqi Xu , Wenrui Li , Min Sun , Qianyu Li , Fan Jiang , Yongning Wu , Guoliang Li
{"title":"Magnetic cationic covalent organic framework for efficient enrichment and detection of phenolic endocrine disruptors in foodstuffs","authors":"Jiaqi Xu , Wenrui Li , Min Sun , Qianyu Li , Fan Jiang , Yongning Wu , Guoliang Li","doi":"10.1016/j.chroma.2025.465827","DOIUrl":"10.1016/j.chroma.2025.465827","url":null,"abstract":"<div><div>Endocrine disrupting chemicals (EDCs) have received significant attention in the food field due to their potential health risks. Herein, we proposed a novel core-shell structure magnetic cationic covalent organic framework (EB-DHTA-iCOF@Fe<sub>3</sub>O<sub>4</sub>) designed for the efficient enrichment of trace-level EDCs in foodstuffs and analyzed using HPLC-MS/MS. Due to the phenolic EDCs structure possessing hydroxyl functional groups which become protonated under alkaline conditions, resulting in the formation of negatively charged anions. The EB-DHTA-iCOF@Fe<sub>3</sub>O<sub>4</sub> positively charged surface can have a good enrichment effect on EDCs with phenolic structures through electrostatic interactions, π - π interactions, and hydrogen bonding. This unique combination of interactions enhances the iCOF ability to selectively capture and enrich phenolic EDCs from complex matrices, thereby improving the sensitivity and efficiency of their detection in analytical applications. Under optimal magnetic solid-phase extraction (MSPE) conditions, the method showed excellent linearity (5–250 μg kg<sup>-1</sup>, R<sup>2</sup> ≥ 0.9993) and a low detection limit (0.03–1.2 μg kg<sup>-1</sup>) for phenolic EDCs, with recovery rates between 86.0 % and 106.8 % and a relative standard deviation under 5.8 %. The approach highlights the potential of the ionic covalent organic framework as an adsorbent for MSPE, offering a promising approach for the detection and analysis of trace-level EDCs in foodstuffs.</div></div>","PeriodicalId":347,"journal":{"name":"Journal of Chromatography A","volume":"1748 ","pages":"Article 465827"},"PeriodicalIF":3.8,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143592872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tommy Melzer , Thomas Wichard , Robert Möller , Nico Ueberschaar , Georg Pohnert
{"title":"Automation and miniaturization of solid-phase extraction for high-throughput analysis of cyanotoxins","authors":"Tommy Melzer , Thomas Wichard , Robert Möller , Nico Ueberschaar , Georg Pohnert","doi":"10.1016/j.chroma.2025.465828","DOIUrl":"10.1016/j.chroma.2025.465828","url":null,"abstract":"<div><div>We present a resource-efficient method for automated sample preparation, designated to facilitate high-throughput analysis of microcystins and nodularin-R. These cyanotoxins, commonly associated with harmful algal blooms, are monitored to ensure the safety of drinking water and recreational water bodies. The method utilizes a liquid handling platform to flexibly process between 1 and 96 samples within one hour for subsequent LC-MS analysis, requiring only 5 mL of sample for triplicate analysis. By miniaturizing solid-phase extraction into a 96-well format, the protocol reduces transfer volumes, and solvent consumption and has the potential to decrease the use of plastic materials. This approach is suitable for both high-throughput analyses and long-term monitoring studies, and it has been successfully applied to diverse water sources, including river, lake, pond, and HPLC-grade water. The method demonstrates excellent accuracy, with results meeting recommended guidelines. As proof of concept, it was applied to quantify cyanotoxins in two lake water samples and a laboratory culture of <em>Microcystis aeruginosa</em>.</div></div>","PeriodicalId":347,"journal":{"name":"Journal of Chromatography A","volume":"1748 ","pages":"Article 465828"},"PeriodicalIF":3.8,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143548475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Noor Al-Rubaye , Ago Mrsa , Manuel Ramirez Garrastacho , Trine Grønhaug Halvorsen , Léon Reubsaet
{"title":"Smart proteolytic samplers for liquid chromatography-mass spectrometry protein quantification: Assessing trypsin immobilization via divinyl sulfone or periodate functionalization","authors":"Noor Al-Rubaye , Ago Mrsa , Manuel Ramirez Garrastacho , Trine Grønhaug Halvorsen , Léon Reubsaet","doi":"10.1016/j.chroma.2025.465825","DOIUrl":"10.1016/j.chroma.2025.465825","url":null,"abstract":"<div><div>In this report we try to answer the question if smart proteolytic samplers can be used for LC-MS based quantitative determination of proteins from paper. Production of smart proteolytic samplers is a two-stage process: In the first stage cellulose is functionalized while in the second stage trypsin is covalently bound. Two functionalization strategies, divinyl sulfone - and periodate functionalization, were compared under various conditions. The divinyl sulfone functionalization in combination with trypsin immobilization is here described for the first time. This functionalization chemistry shows to be equally successful as the periodate functionalization. Using Whatman Grade CF12 paper, it appears that smart proteolytic samplers with high tryptic activity can be produced. These have the capability to produce tryptic peptides with good linearity in buffered solutions: up to 0.998 for BSA (using HLVDEPQNLIK as signature peptide and IO<sub>4</sub>-functionalization) and 0.990 for Cytochrome C (using MIFAGIK as signature peptide and IO<sub>4</sub>-functionalization). The reproducibility in complex biological samples is acceptable (<20 % average RSD for divinyl sulfone functionalized paper) when internal correction is carried out. Overall, smart proteolytic samplers can be used for reliable LC-MS based determination of proteins when the correct proteotypic peptides are chosen.</div></div>","PeriodicalId":347,"journal":{"name":"Journal of Chromatography A","volume":"1747 ","pages":"Article 465825"},"PeriodicalIF":3.8,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143527238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xinxin Zheng , Fan Yin , Gang Gong , Xinger Zhang , Sile He , Weiyang Tang , Xiao-Hong Wei
{"title":"An overview of hydrophobic deep eutectic solvents driven liquid-phase extraction: Applications and prospects","authors":"Xinxin Zheng , Fan Yin , Gang Gong , Xinger Zhang , Sile He , Weiyang Tang , Xiao-Hong Wei","doi":"10.1016/j.chroma.2025.465824","DOIUrl":"10.1016/j.chroma.2025.465824","url":null,"abstract":"<div><div>Deep eutectic solvents (DESs) are a type of emerging green solvent. They are simple to prepare, cost-effective, highly atom-efficient, exhibit extremely low toxicity, and are biodegradable. Since their discovery, DESs have attracted significant interest from the scientific community across various fields. In recent years, these solvents have been extensively studied by researchers as extraction media. Hydrophobic deep eutectic solvents (hDESs) first appeared in the literature in 2015 and represent a group of DESs that meet the requirements of green chemistry. hDESs have great potential in the fields of separation and extraction and are considered effective alternatives to replace hydrophilic DESs and other hydrophobic organic solvents for the extraction of lipophilic natural products. This review summarizes pioneering and innovative work on hDESs, including the latest research progress regarding their applications, extraction techniques, and recycling methods. It also highlights issues that need to be addressed in the future. The results of hDESs in natural product extraction and the extraction of other compounds have revealed their significant potential as alternative green solvents in industrial separation processes.</div></div>","PeriodicalId":347,"journal":{"name":"Journal of Chromatography A","volume":"1748 ","pages":"Article 465824"},"PeriodicalIF":3.8,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143562415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zichen Zhao , Ruiyang Ma , Juntao Wang , Qing Zhang , Miao Jing , Chun Wang , Qiuhua Wu , Zhi Wang
{"title":"Preparation of boric acid functionalized hyper-crosslinked polymer for efficient extraction of phenylurea herbicides from lake water, green tea drink and tomato samples","authors":"Zichen Zhao , Ruiyang Ma , Juntao Wang , Qing Zhang , Miao Jing , Chun Wang , Qiuhua Wu , Zhi Wang","doi":"10.1016/j.chroma.2025.465823","DOIUrl":"10.1016/j.chroma.2025.465823","url":null,"abstract":"<div><div>A boric acid functionalized hyper-crosslinked polymer (HCP), designated as NPCBA/TBM-HCP, was successfully synthesized via Friedel-Crafts reaction by copolymerizing N-phenylcarbazole-2-boronic acid (NPCBA) and 2,4,6-Tris(bromomethyl)mesitylene (TBM). The NPCBA/TBM-HCP showed a large surface area and a good adsorption property for phenylurea herbicides (PUHs). A method with NPCBA/TBM-HCP based solid phase extraction and high-performance liquid chromatographic detection was developed for the simultaneous analysis of PUHs in lake water, green tea drink and tomato samples. Under the optimized experimental conditions that the amount of the NPCBA/TBM-HCP was 30 mg, sample solution was 100 mL, sample loading rate was 4 mL min<sup>-1</sup>, and eluent was 0.3 mL acetonitrile, the linear response for the PUHs was in the range of 0.06–80.0 ng mL<sup>-1</sup>, 0.6–80.0 ng mL<sup>-1</sup> and 0.9–200 ng g<sup>-1</sup> for lake water, green tea drink and tomato samples, respectively, with a good linearity (the coefficients of determination (<em>r</em><sup>2</sup>) ≥ 0.9916). The detection limits (S/N = 3) for lake water, green tea drink and tomato samples were 0.02–0.03 ng mL<sup>-1</sup>, 0.2 ng mL<sup>-1</sup> and 0.3–0.5 ng g<sup>-1</sup>, respectively. The method recoveries for spiked samples were 80.0 %-119.1 % and RSDs were lower than 9.9 % for the determination. The method provides a new and feasible approach for the determination of phenylurea herbicide in real samples.</div></div>","PeriodicalId":347,"journal":{"name":"Journal of Chromatography A","volume":"1747 ","pages":"Article 465823"},"PeriodicalIF":3.8,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143551527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jinni Zhang , Songtao Li , Xiaojing Li , Canrong Chen , Wen Xie , Yanhui Zhong , Zian Lin , Zongwei Cai
{"title":"Determination of perfluoroalkyl carboxylic acids in mice serum and tissue by dispersive solid-phase extraction based on fluorine-functionalized covalent organic frameworks coupled with UPLC-MS/MS","authors":"Jinni Zhang , Songtao Li , Xiaojing Li , Canrong Chen , Wen Xie , Yanhui Zhong , Zian Lin , Zongwei Cai","doi":"10.1016/j.chroma.2025.465820","DOIUrl":"10.1016/j.chroma.2025.465820","url":null,"abstract":"<div><div>Perfluoroalkyl carboxylic acids (PFCAs) are a class of persistent organic pollutants (POPs), which posed various hazards to organisms, including reproductive, developmental, neurological, and immunological toxicity. Consequently, developing an analytical method aimed at achieving highly sensitive detection of trace amounts of PFCAs in complex samples is clearly of great significance. Herein, the Fluorine-functionalized covalent organic framework (F-COF) was synthesized at ambient temperature, which has the advantages of high specific surface area (1297.7 m<sup>2</sup> g<sup>-1</sup>), suitable selective adsorption pore size and good stability. Based on the multiple effects of suitable pore size, fluorine-fluorine interactions and hydrophobic interactions, F-COF exhibited high adsorption performance towards PFCAs. Accordingly, the method of F-COF-based dispersive solid-phase extraction (dSPE) coupled with UPLC-MS/MS was developed for the quantitative analysis of 5 PFCAs in complex biological samples. The results showed that the good linearity for the 5 PFCAs within the concentration ranges of 0.4 to 10<sup>4</sup> ng L<sup>-1</sup>, with correlation coefficients (r) all greater than 0.9993. The enrichment factors (EFs) ranged from 11.4 to 22.3 folds, and the limits of detection (LODs) were 0.11 to 0.17 ng L<sup>-1</sup>. The established method provided a powerful tool for the enrichment and detection of PFCAs in mice serum and tissue. F-COF holds promising application prospects as a solid-phase extraction material for efficient enrichment separation and detection of PFCAs.</div></div>","PeriodicalId":347,"journal":{"name":"Journal of Chromatography A","volume":"1747 ","pages":"Article 465820"},"PeriodicalIF":3.8,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143527222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}