Vibrational Spectroscopy最新文献

{"title":"Merging Partial Least Squares & Raman spectroscopy to quantify oxidative stability in biodiesel","authors":"Maycom Cezar Valeriano ,&nbsp;Antonio Morais Neto ,&nbsp;Natalia Lima dos Santos ,&nbsp;Antonio Carlos Ferreira Batista ,&nbsp;Mónica Benicia Mamián-López","doi":"10.1016/j.vibspec.2025.103797","DOIUrl":"10.1016/j.vibspec.2025.103797","url":null,"abstract":"<div><div>As biodiesel is becoming more important as an alternative and cleaner biofuel in the energy transition, methodologies for monitoring its quality are necessary to guarantee the integrity of engines. One of the most relevant parameters in the quality control routine is oxidative stability, a characteristic related to the effect of oxygen in biodiesel at room temperature during storage. Quantifying the degree of oxidation in biodiesel is essential as undesirable products, such as sediments, polymers, or short-chain fatty acids, can be formed, significantly modifying its biofuel properties. In this work, for the first time, a rapid and non-destructive methodology based on Raman spectroscopy assisted by Partial Least Squares (PLS) regression was developed to quantify the oxidative stability of soy biodiesel by calibrating its Raman spectra against the induction time, monitored through the reference method. This combined strategy allows a fast and environmentally friendly methodology to quantify the induction time. With it, Root Mean Squared Error values for calibration and prediction of 0.2759 and 0.3260 h, respectively, were reached. These values were significantly lower than those reported by other spectroscopic methodologies, showing that merging the biodiesel's highly informative Raman features with the potentiality of chemometric modeling is very promising for rapid routine analyses that can be easily adapted outside the laboratory. Besides, this provides a substantial advancement in biodiesel quality control, considering that its use as a biofuel continuously grows worldwide.</div></div>","PeriodicalId":23656,"journal":{"name":"Vibrational Spectroscopy","volume":"138 ","pages":"Article 103797"},"PeriodicalIF":2.7,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143687079","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":"Quantitative analysis of component contents in AS/PDM composite coagulant by infrared spectroscopy","authors":"Hao Wang,&nbsp;Yuhang Jiang,&nbsp;Xinjie Li,&nbsp;Yuejun Zhang","doi":"10.1016/j.vibspec.2025.103789","DOIUrl":"10.1016/j.vibspec.2025.103789","url":null,"abstract":"<div><div>In order to establish a quantitative analysis method for the components in the composite coagulant aluminum sulfate/poly dimethyl diallyl ammonium chloride (AS/PDM), this study first compared different sample preparation methods for infrared spectroscopy analysis. The electric hot plate drying method was selected due to its rapid sample preparation time and low moisture content. Based on the linear relationship between the mass ratio values of organic and inorganic components and the relative peak area ratio values of their characteristic infrared spectra, the mass ratio values were divided into four segments by order of magnitude. Samples were prepared for each segment, and their infrared spectra and corresponding relative peak area ratios were obtained. Different peak area calculation methods were compared, and four standard curves were constructed, with precision and recovery rates validated. Based on the measured mass ratio relationships between the components, the inorganic component Al₂O₃ content was determined using the EDTA back-titration method, completing the development of the quantitative analysis method for both components. Finally, verification using samples from four different mass ratio value segments demonstrated that when a linear lower bound for integration was used to calculate peak areas, the maximum relative error within the selected mass ratio value range was less than 5 %, which was significantly better than the results obtained using a curve as the lower bound for integration. Therefore, this method provides experimental evidence for the quantitative analysis of AS/PDM components and supports the establishment of quality standards for the product.</div></div>","PeriodicalId":23656,"journal":{"name":"Vibrational Spectroscopy","volume":"138 ","pages":"Article 103789"},"PeriodicalIF":2.7,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143687698","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":"Investigating temperature-dependent spectral changes in human saliva using SERS on Ag and Au surfaces","authors":"Michaela Klenotová ,&nbsp;Pavel Matějka","doi":"10.1016/j.vibspec.2025.103788","DOIUrl":"10.1016/j.vibspec.2025.103788","url":null,"abstract":"<div><div>Surface-enhanced Raman Scattering (SERS) Spectroscopy, combined with multivariate data analysis such as Principal Component Analysis (PCA), effectively detects subtle changes in complex biological samples. In this study, we applied SERS to identify subtle molecular changes in human saliva deposited on large nanostructured Ag and Au substrates, focusing on the influence of temperature variations ranging from 10°C to 45°C. The selected temperature intervals – 10°C (cooling technology), 23°C (laboratory temperature), 37°C (physiological temperature), 42°C (fever), and 45°C (extreme temperatures) – reflect real-world conditions that biological and medical samples may encounter during collection, storage, transport, and analysis. We aimed to determine whether saliva samples remain stable at these temperatures over four days or if significant changes occur. Furthermore, we investigated the reversibility of spectral alterations during thermal jumps, where samples were heated to 45°C and then cooled back to 10°C. To ensure reliability, we utilized a computer-controlled mapping stage and a thermostatic sample holder, allowing precise temperature control and repeated recordings at identical locations on the substrate. Attention was given to intensity changes of marker bands, including band ratios, such as the ratio of 1175 cm⁻¹ to 1005 cm⁻¹ bands (<strong>protein hydration</strong> marker), the ratio of 856 cm⁻¹ to 831 cm⁻¹ bands (<strong>hydrophobicity</strong> marker of the environment surrounding <strong>tyrosine</strong>), and the ratio of 1360 cm⁻¹ to 1340 cm⁻¹ bands (<strong>hydrophobicity</strong> marker of the environment surrounding <strong>tryptophan</strong>) at different temperatures. The protein hydration marker exhibited a progressive decrease with increasing temperature, indicating water loss from the protein environment. In contrast, the hydrophobicity markers for tyrosine and tryptophan residues showed an increasing trend, suggesting enhanced hydrophobicity and a temperature-dependent reorganization of the protein structure on the SERS-active surfaces. In addition to these markers, we monitored changes related to amino acid residue bands for each temperature during the stability tests and thermal cycling. The spectral changes were associated with water loss and the reorganization of molecules near the nanostructured plasmonic surface, indicating saliva's sensitivity to temperature conditions. Our findings emphasize the importance of maintaining proper storage conditions for saliva films on large-area substrates to preserve sample integrity and prevent the misinterpretation of temperature-induced spectral changes. This study contributes to best practices for SERS analysis of thermally sensitive materials, particularly biofluids, especially in the context of medical diagnostics.</div></div>","PeriodicalId":23656,"journal":{"name":"Vibrational Spectroscopy","volume":"138 ","pages":"Article 103788"},"PeriodicalIF":2.7,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143642784","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":"SERS analysis of saliva and its key components: The effects of various collection methods, sample dilution, excitation wavelengths, and enhancing substrates","authors":"Michaela Klenotová ,&nbsp;Pavel Matějka","doi":"10.1016/j.vibspec.2025.103787","DOIUrl":"10.1016/j.vibspec.2025.103787","url":null,"abstract":"<div><div>Recently, human saliva has become a subject of research as an excellent material for patient-friendly diagnostics. An increasing number of diagnostic tests utilize saliva due to its easy and noninvasive collection, eliminating the patient's stress. Simultaneously, developing Surface-Enhanced Raman Scattering (SERS) spectroscopy offers new possibilities for analyzing saliva's composition. Saliva is a complex biological material; many factors influence its composition, including medication use, diseases, stress, hormone levels, diet, age, and hydration. This complexity raises the question of whether it is possible to observe and definitively attribute changes in specific substances through SERS spectra. One of the key questions we posed is how the SERS spectrum will change with an increased level of α-amylase 1 A (AMY1A), an enzyme marker of acute stress. AMY1A forms complexes with proline-rich proteins (PRP). Thus, we examined whether similar spectral changes are observed with a PRP level increase in saliva. Another focus was lysozyme C (LYZ C), a nonspecific marker of infectious diseases. We examined how increased levels of LYZ C affect SERS spectra, particularly considering its sensitivity to changes in the ionic composition of saliva and its complexation with PRP and lactoferrin (LF). Moreover, we explored whether the albumin (HSA) level, which plays a vital role in regulating osmotic pressure, influences LYZ C activity and how it is manifested in SERS. Furthermore, we investigated the effect of saliva dilution and collection methods on SERS spectra. We searched for correlations with significant components such as AMY1A, HSA, LYZ C, LF, and Poly-L-proline (PLP is an analog of PRP). We showed the role of gold (Au) and silver (Ag) substrates, comparing the spectral differences. Solving the issues is crucial for the ability of SERS techniques to detect and/or monitor biomolecules in saliva and can lead to significant advancements in noninvasive diagnostics.</div></div>","PeriodicalId":23656,"journal":{"name":"Vibrational Spectroscopy","volume":"138 ","pages":"Article 103787"},"PeriodicalIF":2.7,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143609815","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":"Authentication analysis of animal fats adulteration in nail polish simulation using Raman spectroscopy coupled with chemometrics","authors":"Nurrulhidayah Ahmad Fadzillah ,&nbsp;Amal Elgharbawy ,&nbsp;Mohammad Aizat Jamaluddin ,&nbsp;Nur Azira Tukiran ,&nbsp;Anjar Windarsih ,&nbsp;Abdul Rohman ,&nbsp;Siti Jamilah Mohd Sukri ,&nbsp;Nurul Widad Fitri Muhammad ,&nbsp;Anis Hamizah Hamid","doi":"10.1016/j.vibspec.2025.103785","DOIUrl":"10.1016/j.vibspec.2025.103785","url":null,"abstract":"<div><div>Cosmetics are being used daily by many people, and their consumption is on the rise every year. These products are adulterated with cheaper alternatives to increase their profit. As more cosmetics are available in the market, the authenticity of halal cosmetics has raised much concern among Muslim consumers throughout the world. Therefore, authentication analysis of cosmetic products is urgently needed. This study was conducted to detect beef tallow (BT), chicken fat (CF), lard (LD), and mutton fat (MF) in nail polish using Raman spectrometry combined with chemometrics. Partial least square-discriminant analysis (PLS-DA) and hierarchical cluster analysis (HCA) were successfully used to differentiate animal fats into four subclasses. In addition, partial least square (PLS) and orthogonal PLS (OPLS) regression were adequate to detect and predict the levels of BT, CF, LD, and MF in nail polish with R²&gt; 0.990 both in calibration and validation models. The best prediction model for BT was from OPLS at the wavenumber range of 100–3200 cm⁻¹ with R²&gt; 0.990 and RMSEC as well as RMSEP lower than 2.0 %. Meanwhile PLS model demonstrated the best model to predict CF, LD, and MF was the PLS with R²&gt; 0.990 and RMSEC as well as RMSEP around 1–2.40 %. This study revealed the potential application of Raman spectroscopy in combination with chemometrics as an effective and efficient technique for authenticating nail polish base formulation adulterated with animal fats.</div></div>","PeriodicalId":23656,"journal":{"name":"Vibrational Spectroscopy","volume":"138 ","pages":"Article 103785"},"PeriodicalIF":2.7,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143576745","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 Early Subtle Bruising in Strawberries Using VNIR Hyperspectral Imaging and Deep Learning","authors":"Runze Feng ,&nbsp;Xin Han ,&nbsp;Yubin Lan ,&nbsp;Xinyue Gou ,&nbsp;Jingzhi Zhang ,&nbsp;Huizheng Wang ,&nbsp;Shuo Zhao ,&nbsp;Fanxia Kong","doi":"10.1016/j.vibspec.2025.103786","DOIUrl":"10.1016/j.vibspec.2025.103786","url":null,"abstract":"<div><div>Detecting early surface bruising in strawberries during postharvest storage is crucial for maintaining product quality and reducing waste. In this paper, we combined visible-near infrared hyperspectral imaging (VNIR-HSI) technology with deep learning methods to efficiently detect early surface bruising in strawberries. Specifically, we created a hyperspectral image dataset of strawberries, captured in the 454–998 nm wavelength range at five intervals: 1, 12, 24, 36, and 48 hours after applying four levels of bruising: none, slight, moderate, and severe. To address the challenges of a limited sample size and redundant hyperspectral data, we employed data augmentation and two feature wavelength extraction techniques: Uninformative Variable Elimination (UVE) and Competitive Adaptive Reweighted Sampling (CARS). We then developed several classification models, including SVM, CNN, CNN-LSTM, and CNN-BiLSTM. Experimental results showed that the CNN-BiLSTM model, which used feature wavelengths selected by CARS, achieved a 97.8 % classification accuracy for detecting slight bruising 12 hours post-treatment, with an average bruised area of 24.09 ± 6.38 mm². This performance surpassed the SVM, CNN, and CNN-LSTM models by 14.7, 10.5, and 4.5 percentage points, respectively. This study effectively classified early bruising in strawberries and visualized bruised areas, demonstrating significant improvements in detection and classification of early bruising, particularly for smaller areas.</div></div>","PeriodicalId":23656,"journal":{"name":"Vibrational Spectroscopy","volume":"138 ","pages":"Article 103786"},"PeriodicalIF":2.7,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143563096","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":"Advances in single-molecule surface-enhanced Raman spectroscopy (SERS) for biosensing","authors":"Huaizhou Jin ,&nbsp;Yanlong Cai ,&nbsp;Chenhui Song ,&nbsp;Shangzhong Jin ,&nbsp;Qiang Lin","doi":"10.1016/j.vibspec.2025.103784","DOIUrl":"10.1016/j.vibspec.2025.103784","url":null,"abstract":"<div><div>Single-molecule (SM) detection and manipulation have revolutionized the field of biosensing, enabling unprecedented insights into the heterogeneity, dynamics, and interactions of biomolecules. This review focuses on the latest advances in single molecule Surface Enhanced Raman Spectroscopy (SM-SERS) techniques and approaches to confirm SM events, and examines four major approaches: bi-analyte SERS (BiASERS), plasmonic trapping, nanopore/slits, and chemical binding. We will discuss the development of these techniques as well as fabrication and application plasmonic nanostructures, and will explore the integration of these methods. Furthermore, we will discuss the challenges and future perspectives in the SM-SERS and the confirmation of SM events, focusing on improving sensitivity, reproducibility, and the ability to probe sub-angstrom molecular dynamics in order to provide a comprehensive overview.</div></div>","PeriodicalId":23656,"journal":{"name":"Vibrational Spectroscopy","volume":"138 ","pages":"Article 103784"},"PeriodicalIF":2.7,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143609816","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":"Uncovering the vibrational modes of zwitterion glycine in aqueous solution","authors":"Mark Christie ,&nbsp;Mozhdeh Mohammadpour ,&nbsp;Jan Sefcik ,&nbsp;Karen Faulds ,&nbsp;Karen Johnston","doi":"10.1016/j.vibspec.2025.103783","DOIUrl":"10.1016/j.vibspec.2025.103783","url":null,"abstract":"<div><div>Vibrational spectroscopy is widely employed to probe and characterise chemical, biological and biomedical samples. Glycine solutions are relevant in a variety of biological and chemical systems, yet the reported experimental vibrational wavenumbers of the glycine zwitterion, which is the dominant species in aqueous solution, are inconsistent and incomplete. This study presents a procedure that obtained a complete set of vibrational frequencies for the glycine zwitterion in aqueous solution, apart from the two lowest wavenumber modes which are available from a previous THz study. Vibrational spectra were measured using IR and Raman spectroscopy, to obtain both IR and Raman-active modes for a range of different glycine solution concentrations using four different instruments. Insight from a literature survey of density functional theory calculations in implicit and explicit water was used to guide the deconvolution of the experimental spectra into vibrational modes, giving 22 out of 24 vibrational wavenumbers with a standard error of less than 3 cm⁻¹. This thorough analysis of the glycine vibrational spectra has enabled missing and erroneous wavenumbers in literature to be identified, and the systematic procedure for determining vibrational modes will pave the way for deeper quantitative analysis of glycine systems, and serve as a benchmark for computational method development.</div></div>","PeriodicalId":23656,"journal":{"name":"Vibrational Spectroscopy","volume":"137 ","pages":"Article 103783"},"PeriodicalIF":2.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143509098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An modified RamanNet model integrated with serum Raman spectroscopy for breast cancer screening","authors":"Ningning Sun ,&nbsp;Fei Xie ,&nbsp;Longfei Yin ,&nbsp;Houpu Yang ,&nbsp;Guohua Wu ,&nbsp;Shu Wang","doi":"10.1016/j.vibspec.2025.103782","DOIUrl":"10.1016/j.vibspec.2025.103782","url":null,"abstract":"<div><div>Based on the characteristics of spectral data, Nabil Ibtehaz et al. (2023) proposed a generalized neural network architecture for Raman spectroscopy analysis, called RamanNet. This paper applies it to breast cancer screening and proposes an modified RamanNet method to optimize the classification performance of breast cancer and healthy individuals. The modified model accelerates convergence and reduces overfitting by incorporating L2 regularization, removing TripletLoss, and adjusting the learning rate. Results demonstrate that the modified RamanNet achieved a higher accuracy (96.0 ± 1.7 %) and sensitivity (96.8 ± 3.0 %) in distinguishing between breast cancer patients and healthy controls, outperforming both the 1D-CNN (accuracy: 91.8 ± 2.9 %; sensitivity: 89.3 ± 5.1 %) and the original RamanNet (accuracy: 92.5 ± 3.2 %; sensitivity: 94.6 ± 5.6 %). Furthermore, the model demonstrated enhancements in training time, convergence speed and stability, which provides a new technological approach for non-invasive and rapid breast cancer screening with great potential for clinical application.</div></div>","PeriodicalId":23656,"journal":{"name":"Vibrational Spectroscopy","volume":"137 ","pages":"Article 103782"},"PeriodicalIF":2.7,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143387690","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":"Development of a data fusion strategy combining FT-NIR and Vis/NIR-HSI for non-destructive prediction of critical quality attributes in traditional Chinese medicine particles","authors":"Ziqian Wang ,&nbsp;Xinhao Wan ,&nbsp;Xiaorong Luo ,&nbsp;Ming Yang ,&nbsp;Xuecheng Wang ,&nbsp;Zhijian Zhong ,&nbsp;Qing Tao ,&nbsp;Zhenfeng Wu","doi":"10.1016/j.vibspec.2025.103780","DOIUrl":"10.1016/j.vibspec.2025.103780","url":null,"abstract":"<div><div>This study explores the complementary capabilities of Fourier Transform Near Infrared Spectroscopy (FT-NIR) and Visible/Near Infrared Hyperspectral Imaging (Vis/NIR-HSI) in developing a data fusion strategy to predict the critical quality attributes (CQAs) of Traditional Chinese Medicine Particles (TCMP). The research emphasizes integrating these techniques into an advanced process analytical technology (PAT) platform. By leveraging the unique strengths of FT-NIR for molecular characterization and Vis/NIR-HSI for spatial quality assessment, the study evaluates multiple data fusion strategies to enhance prediction accuracy. Twenty batches of TCMP were produced using fluidized bed granulation, and their properties were characterized using FT-NIR and Vis/NIR-HSI. Comparative analysis revealed that FT-NIR outperformed Vis/NIR-HSI in standalone predictions of moisture content and particle size. Advanced fusion schemes were then developed to combine the complementary information from both spectral ranges, resulting in partial least squares (PLS) models. Among the three fusion levels evaluated, the high-level fusion strategy achieved the most accurate predictions for flowability, particle size, and moisture content. This study demonstrates that high-level fusion of FT-NIR and Vis/NIR-HSI data can significantly improve the efficiency and accuracy of CQAs prediction for TCMP. Moreover, the proposed approach facilitates rapid and non-destructive quality analysis of granular medicines, enables real-time online monitoring, and offers practical insights into advancing automated drug safety process control.</div></div>","PeriodicalId":23656,"journal":{"name":"Vibrational Spectroscopy","volume":"137 ","pages":"Article 103780"},"PeriodicalIF":2.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143202533","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}