Microchemical Journal最新文献

{"title":"Intelligent analysis system based on MWS-RF-SDAE:A novel analysis method in forensic science for body fluids and interferents identification by Raman spectra","authors":"Zhaowei Jie ,&nbsp;Xiaoxiao Gong ,&nbsp;Yujie Wang ,&nbsp;Aoxiang Xu ,&nbsp;Chunfang Gao ,&nbsp;Jun Zhu ,&nbsp;Hongcheng Mei","doi":"10.1016/j.microc.2025.113905","DOIUrl":"10.1016/j.microc.2025.113905","url":null,"abstract":"<div><div>Raman spectroscopy has emerged as a groundbreaking tool for body fluid analysis in forensic science, providing a unique approach to evidence examination. However, its practical application is often hampered by challenges such as noise interference, baseline drift, and interferents, which can impede accurate identification. To address these limitations, this study introduces an innovative intelligent analysis system that combines Moving Window Smoothing (MWS), Random Forest (RF), and Stacked Denoising Autoencoder (SDAE)—collectively referred to as MWS-RF-SDAE—to significantly improve the recognition accuracy of body fluids and interfering substances. A robust Raman spectroscopy database was established, containing spectra from six types of body fluids and 31 common interfering substances typically encountered at crime scenes. The Backpropagation (BP) classifier was utilized as an evaluation metric to gauge system performance. Among six preprocessing methods tested, MWS was identified as the most effective in enhancing spectral data quality. Furthermore, the study investigated various feature selection techniques, demonstrating that the RF method effectively minimized feature redundancy and increased BP prediction accuracy to 88.4%. Nevertheless, challenges remained in differentiating body fluids from interfering substances due to spectral similarities and instrumental noise. To address these issues, an SDAE prediction model was developed and rigorously assessed using three critical metrics: Accuracy, Recall, and F1 score. The results revealed outstanding performance, with the MWS-RF-SDAE method achieving a prediction accuracy of 99.85%, effectively resolving the issue of low accuracy caused by interfering substances. The system’s practical applicability was further confirmed through six samples in real-world cases, underscoring its reliability for forensic uses. A key feature of the system is its capability to calculate prediction confidence rates for unknown samples, allowing for targeted validation of low-confidence results. This functionality not only streamlines forensic investigations but also offers robust support for crime scene analysis. By integrating these advanced techniques, this study marks a significant advancement toward the intelligentization and automation of forensic science, with the potential to revolutionize the field by enhancing both the accuracy and efficiency of body fluid identification.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"214 ","pages":"Article 113905"},"PeriodicalIF":4.9,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144069800","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}

{"title":"Qualitative recognition of waste textiles based on near-infrared spectroscopy and ModernTCN","authors":"Cong Shi ,&nbsp;Junfeng Sang","doi":"10.1016/j.microc.2025.113902","DOIUrl":"10.1016/j.microc.2025.113902","url":null,"abstract":"<div><div>To address the challenge of online recognition of multi-class waste textiles in their sorting process, the Fabric-ModernTCN, a CNN architecture with strong fabric recognition performance and real-time inference capability, is proposed in this paper. The design of Fabric-ModernTCN is inspired by the state-of-the-art ModernTCN in the field of time series analysis. Using the Fabric-NIR-Dataset, a raw near-infrared spectral dataset including the spectra of 18 categories of fabrics, and its four preprocessed versions generated by applying the standard normal variate transformation, SG smoothing, min–max normalization, and arPLS baseline correction to Fabric-NIR-Dataset, respectively, five categories of Fabric-ModernTCN models are trained, and their recognition performances are evaluated. The most effective preprocessing method, SG smoothing, and its corresponding Fabric-ModernTCN model are selected. Further performance evaluation experiments of this model are conducted, demonstrating its classification accuracy of 93.28 % and F1-score of 94.47 %. The comparative experiments are conducted against two baseline models, InceptionTime and MiniRocket + MLP (MiniRocket coupled with a linear classifier). The results reveal that the Fabric-ModernTCN model outperforms both baseline models across five performance metrics: classification accuracy, precision, recall, F1-score, and inference time per sample. Specifically, the Fabric-ModernTCN model achieves improvements of 2.97 % and 1.82 % in classification accuracy, and 2.52 % and 1.31 % in F1-score, respectively, compared to the baseline models. Regarding computational efficiency, the inference time per sample of the Fabric-ModernTCN model is only 0.0025612 s, corresponding to an FPS of 390.4448, which highlights its strong real-time performance. The ablation experiment results further validate the rationality of the structural design and parameter selection of Fabric-ModernTCN.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"214 ","pages":"Article 113902"},"PeriodicalIF":4.9,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143942344","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}

{"title":"Dual-Mode sensing platform for zearalenone determination based on HCR signal amplification and magnetic separation using Spectrophotometry and electrochemistry","authors":"Wentao Guo,&nbsp;Yanjun Wang,&nbsp;Bowen Li,&nbsp;Xuxin Zhang,&nbsp;Hao Chen,&nbsp;Bin Deng,&nbsp;Yonghong Wang","doi":"10.1016/j.microc.2025.113917","DOIUrl":"10.1016/j.microc.2025.113917","url":null,"abstract":"<div><div>Zearalenone (ZEN) is a highly dangerous mycotoxin that is lethal to both humans and animals. Herein, a dual-mode biosensor with electrochemical and colorimetric features was proposed for ZEN detection using hybrid chain reaction (HCR) and streptavidin-modified magnetic beads (SA-MBs) as signal amplifier. Among them, the biotin-modified ZEN-cDNA was enriched by the SA-MBs through the specific binding of streptavidin and biotin. When the target is present, ZEN-Apt binds to the target and releases the ZEN-cDNA to trigger HCR. Methylene blue can be inserted into dsDNA as a signaling molecule, so the higher the concentration of the target, the more HCR is triggered, producing more double-stranded DNA and amplifying the signal. Conversely, the more HCR is triggered, the less DNA remains in the solution, resulting in lower absorbance. Therefore, the concentration of the detected substance is proportional to the electrochemical signal and inversely proportional to the photochemical signal. Under optimized conditions, the electrochemical detection range is 1.0 × 10⁻⁹ mol/L − 5.0 × 10⁻⁷ mol/L. In short, the dual-mode biosensor boasts distinct advantages, such as operational simplicity, cost efficiency, signal stability, and considerable potential for broad applications in food safety and environmental monitoring.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"214 ","pages":"Article 113917"},"PeriodicalIF":4.9,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144105371","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}

{"title":"Effective extraction of tocopherols from soybean oil deodorizer distillate methyl esters using phenolic deep eutectic solvents","authors":"Jingnan Chen,&nbsp;Xianli Fu,&nbsp;Guolong Yang,&nbsp;Wei Liu","doi":"10.1016/j.microc.2025.113913","DOIUrl":"10.1016/j.microc.2025.113913","url":null,"abstract":"<div><div>Nature tocopherols are mainly produced from vegetable oil deodorized distillates. And development of simple and green extraction method is highly desirable for nature tocopherols separation. In this work, a green, rapid and mild (room temperature) solvent extraction method based on phenolic deep eutectic solvents (DES) has been developed to simultaneously extract three isomers of tocopherols (α-, γ-, δ-tocopherol) from soybean oil deodorizer distillate methyl esters (SODD-ME) for the first time. Tetrabutyl ammonium chloride-based DESs (TBAC-DESs) were used as extraction solvents. The effect of factors on the extraction efficiency of three individuals and total tocopherols was investigated. The optimal extraction conditions were determined as follows: DES composed of TBAC and 4-methylphenol (molar ratio of 1:1), DES/SODD-ME 6:1 (w/w), hexane/SODD-ME 1:1 (w/w) and vortex-assisted extraction of 1 min at room temperature. Under these conditions, the maximum extraction efficiency of total tocopherols was (97.5 ± 0.5)%. And the molecular structure of the phenolic DESs had significant effect on the extraction selectivity on α-, γ- and δ-tocopherol from SODD-ME. The underlying extraction mechanism was that the TBAC-phenol DESs combined the three tocopherols by both hydrogen bonding and π–π interaction.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"214 ","pages":"Article 113913"},"PeriodicalIF":4.9,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948772","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}

{"title":"Eco-friendly and Stability-Indicating RP-HPLC method for simultaneous estimation of Fluconazole and Tinidazole in combined dosage form","authors":"Mrunalini Kulkarni ,&nbsp;Pranay More ,&nbsp;Satish Patil","doi":"10.1016/j.microc.2025.113907","DOIUrl":"10.1016/j.microc.2025.113907","url":null,"abstract":"<div><div>A stability-indicating RP-HPLC method has been developed and validated for the simultaneous estimation of Fluconazole, its associated organic impurities and Tinidazole in a combined dosage form by implementing isocratic reverse-phase high-performance liquid chromatography (RP-HPLC). These combined dosage forms were simultaneously estimated and related impurities were summarized using an RP-HPLC system with water: Isopropyl alcohol (IPA) (80:20) as the eluting solvent. The stationary phase of Zorbax SB C8 column (150 mm × 4.6 mm, 3.5 μm) was utilized for elution. The method reveals prominent RT of Fluconazole, its related impurities A, B, or C and Tinidazole were found at 3.0, 2.5, 2.8, 6.8 and 2.2 min correspondingly. Validation and impurity profiling parameters were done with adherence to the International Conference on Harmonization (ICH) and United States Pharmacopeia (USP). For both Fluconazole and Tinidazole, detector response has been confirmed to be linear with concentration in the 22.5–135 µg/mL range. The LOD and LOQ for Fluconazole have been 0.054 µg/ml, 0.163 µg/ml and for Tinidazole have been 0.127 µg/ml, and 0.387 µg/ml respectively. The % recovery of 99.5 % and 100.9 % was achieved for Fluconazole and Tinidazole through the assay method with compliance with % RSD of 0.23 % and 0.14 % for six preparations. The forced degradation studies show that Fluconazole and Tinidazole showed well-resolved peaks derived from the drug active ingredient. Finally, the developed method was found to be simple, precise, accurate, and eco-friendly as assessed by greenness using three factors. The developed method is simple, reliable, and prominent for regular adoption of quality control analysis.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"214 ","pages":"Article 113907"},"PeriodicalIF":4.9,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144069794","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}

{"title":"A ratiometric colorimetric sensor for Escherichia coli detection based on the coordination between zirconium-tetraphenylporphyrin tetrasulfonic acid hydrate metal–organic frameworks and copper ions","authors":"Duoduo Zhang ,&nbsp;Xinyu Zhang ,&nbsp;Mingshuang Liang ,&nbsp;Xiuxiu Li ,&nbsp;Nan Wang ,&nbsp;Heping Xiao ,&nbsp;Dawei Cao ,&nbsp;Xiubo Zhao","doi":"10.1016/j.microc.2025.113915","DOIUrl":"10.1016/j.microc.2025.113915","url":null,"abstract":"<div><div><em>Escherichia coli</em> (<em>E. coli</em>) is one of the most prevalent foodborne pathogens, releasing toxic substances and causing infectious and life-threatening diseases. Thus, the rapid and sensitive detection of <em>E. coli</em> is essential for safeguarding human health. Herein, a ratiometric colorimetric sensor was constructed for detecting <em>E. coli</em>, utilizing the coordination between zirconium (Zr)-tetraphenylporphyrin tetrasulfonic acid (TPPS) hydrate metal–organic frameworks (Zr-TMs) and copper ions (Cu²⁺). <em>E. coli</em> can capture and convert external Cu²⁺ into Cu⁺ through its distinctive metabolic activities. This capability further enhances the coordination interaction between the porphyrin ligands in Zr-TMs and the metal ions. As a result, the ultraviolet–visible (UV–vis) absorption spectral properties of Zr-TMs changed, exhibiting an enhanced absorption peak at 413 nm (A₄₁₃) and a weakened peak at 434 nm (A₄₃₄). By monitoring the increase in ratio of A₄₁₃ to A₄₃₄, this sensor achieved rapid and sensitive detection of <em>E. coli</em> at concentrations ranging from 10² to 10⁷ CFU/mL within 63 min, with a detection limit of 19 CFU/mL. The color of the solution gradually changed from green to colorless. This proposed ratiometric method utilized the opposite changes in the two UV–vis absorption peak signals (A₄₁₃ and A₄₃₄) generated by the Zr-TMs probes, improving detection accuracy and achieving visual analysis. Additionally, this method accurately identified <em>E. coli</em> in milk samples, demonstrating substantial potential for detecting pathogenic bacteria in food.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"214 ","pages":"Article 113915"},"PeriodicalIF":4.9,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144070516","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}

{"title":"Quantification of phenolics by LC-MS/MS of monofloral and polyfloral Honey: Evaluation of the greenness of the method with MoGAPI and MoGSA","authors":"Yusuf Can Gerçek ,&nbsp;Fatma Nur Baştürk ,&nbsp;Aslı Özkök ,&nbsp;Gül Cevahir Öz ,&nbsp;Nesrin Ecem Bayram","doi":"10.1016/j.microc.2025.113921","DOIUrl":"10.1016/j.microc.2025.113921","url":null,"abstract":"<div><div>This study evaluated the physicochemical properties, total phenolic content (TPC), total flavonoid content (TFC), antioxidant activity, proanthocyanidin content, and polyphenolic profiles of monofloral and multifloral honey samples produced in Türkiye. In addition, the greenness of the analytical method was assessed using two different evaluation tools: MoGSA and MoGAPI. The TPC and TFC values for multifloral honeys ranged from 0.18–0.65 mg GAE/g and 0.01–0.09 mg QE/g, respectively, whereas for monofloral honeys, these values ranged from 0.16–0.98 mg GAE/g and 0.01–0.37 mg QE/g. The highest CUPRAC and DPPH values were observed in <em>Erica</em> spp. honey, consistent with its TFC and total individual polyphenolic compound results. Notably, the <em>Erica</em> spp. honey sample exhibited a significantly higher gallic acid content (26.13 µg/g) compared to the other samples. These findings suggest that <em>Erica</em> spp. honey characterized by its high TPC, antioxidant activity, and distinctive polyphenolic profile, may serve as a notable dietary source of antioxidants. Additionally, the MoGAPI and MoGSA scores of the method were determined to be 84 and 91.67, respectively, demonstrating its high environmental sustainability.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"214 ","pages":"Article 113921"},"PeriodicalIF":4.9,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948771","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}

{"title":"Two benzo-fused ring fluorescent probes for the detection of formaldehyde and its application in growing mung bean sprouts","authors":"Xiaoming Wu,&nbsp;Leyuan Ding,&nbsp;Shaoxiang Yang,&nbsp;Hongyu Tian,&nbsp;Baoguo Sun","doi":"10.1016/j.microc.2025.113909","DOIUrl":"10.1016/j.microc.2025.113909","url":null,"abstract":"<div><div>To detect formaldehyde (FA) in food samples, two fluorescent probes with benzofused rings were created: probe 1 contains the naphthalene ring, while probe 2 has the benzimidazole ring. Probes 1 and 2 are both capable of reacting with FA to produce hydrazone molecules. The linear correlation between Probe 1 and FA (0–60 μM) was good. The fluorescence intensity at 538 nm grew as the quantity of FA increased, and the probe solution gradually turned from dark yellow to bright yellow when exposed to UV light at 365 nm. The probing solution showed a linear relationship between the luminescence intensity of the rhizomes of mung bean sprouts grown in varying concentrations of formaldehyde aqueous solution and FA. Both the luminescence intensity of the probe 2 solution under UV light and the fluorescence intensity of probe 2 and FA (0–25 μM) at 554 nm were increased. The soaked mung bean sprouts’ B value investigation showed a linear relationship with FA as well. Thus, two practical instruments for identifying FA in food samples are probes 1 and 2.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"214 ","pages":"Article 113909"},"PeriodicalIF":4.9,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144069796","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}

{"title":"Construction of a dual signal recognition electrochemical electrode for detection of vancomycin concentration in plasma","authors":"Yingchun Bu ,&nbsp;Qian Shangguan ,&nbsp;Qian Li ,&nbsp;Ning Fan ,&nbsp;Heng Zhang ,&nbsp;Dongfeng Yin ,&nbsp;Jian Sun ,&nbsp;Jinfeng Zeng","doi":"10.1016/j.microc.2025.113868","DOIUrl":"10.1016/j.microc.2025.113868","url":null,"abstract":"<div><div>This study addresses the urgent clinical need for rapid and precise adjustment of antibiotic blood drug concentrations by proposing a novel vancomycin detection strategy based on the synergistic molecularly imprinted polymer-peptide dual recognition mechanism. By integrating the preassembled specific cavities of molecularly imprinted polymers (MIPs) with the bioaffinity sites of a short peptide sequence, we constructed an electrochemical electrode with dual-recognition functionality, effectively overcoming the limitations of poor selectivity in traditional single-recognition systems under complex matrix conditions. Experimental results demonstrated that the dual-recognition electrode achieved dual-dimensional improvements in both sensitivity and selectivity for vancomycin. Through systematic optimization of critical parameters such as template molecule/peptide concentration, electropolymerization cycles, and interface assembly sequence, the electrode exhibited an ultralow detection limit of 0.88 µg mL⁻¹ (signal-to-noise ratio, S/N = 3) in plasma samples. Clinical sample analysis further confirmed strong consistency with the EMIT®2000 Vancomycin Assay, highlighting the remarkable advantage of the dual-recognition strategy in accurately capturing target molecules. This method provides a solution with high sensitivity, high anti-interference capability, and clinical applicability for the dynamic monitoring of antibiotic therapeutic windows.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"214 ","pages":"Article 113868"},"PeriodicalIF":4.9,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144069917","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}

{"title":"A comprehensive review of vitamin-specific molecularly imprinted microparticles: synthesis, applications, and future prospects","authors":"Yicheng Pan ,&nbsp;Zhongrui Chen ,&nbsp;Zheng Wang","doi":"10.1016/j.microc.2025.113876","DOIUrl":"10.1016/j.microc.2025.113876","url":null,"abstract":"<div><div>Vitamins are essential micronutrients crucial for human health, and their effective extraction and accurate detection are vital for public health and related industries. Molecularly imprinted microparticles (MIMs), known for their antibody-like specificity, structural stability, and adaptability to complex matrices, have demonstrated substantial advantages in vitamin extraction and detection. As the first review dedicated to vitamin-specific MIMs, this review systematically summarizes recent advancements in vitamin-specific MIMs, emphasizing novel synthesis strategies guided by computational simulations and green chemistry principles. We critically evaluate current applications of MIMs in extracting and pre-concentrating vitamins from food matrices and their potential as controlled-release carriers in medical applications. Additionally, we discuss the integration of MIMs with various analytical techniques for chromatographic, electrochemical, and optical detection. Current challenges, such as environmental impact, limitations in scalable production, insufficient biocompatibility studies, and performance gaps in detection platforms, are highlighted. Finally, future research directions are suggested to promote sustainable synthesis, computational optimization, standardization, and integration with portable real-time detection platforms, providing guidance toward scalable and sustainable industrial applications of vitamin-specific MIMs.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"214 ","pages":"Article 113876"},"PeriodicalIF":4.9,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144071244","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}