Analytical Methods最新文献_第3页

The role of DNA nanotechnology in medical sensing. DNA纳米技术在医学传感中的作用。

IF 2.7 3区化学

Analytical Methods Pub Date : 2025-01-30 DOI: 10.1039/d4ay01803f

Darell Lien

引用次数: 0

Qualitative and quantitative nondestructive determination of cyanide in water and distilled spirits by Raman integrating sphere. 拉曼积分球无损测定水和蒸馏酒中氰化物的定性和定量。

IF 2.7 3区化学

Analytical Methods Pub Date : 2025-01-30 DOI: 10.1039/d4ay02157f

Xu Hai-Sheng, Cheng Jing, Yang Da-Peng, Zhao Chu-Qiu, Liu Yan, Tao Sha, Huang Bao-Kun

{"title":"Qualitative and quantitative nondestructive determination of cyanide in water and distilled spirits by Raman integrating sphere.","authors":"Xu Hai-Sheng, Cheng Jing, Yang Da-Peng, Zhao Chu-Qiu, Liu Yan, Tao Sha, Huang Bao-Kun","doi":"10.1039/d4ay02157f","DOIUrl":"10.1039/d4ay02157f","url":null,"abstract":"Cyanide often forms as a byproduct during the fermentation process of distilled spirits, and excessive amounts can cause damage to health. Cyanide poisoning is also common in alcoholic beverages and water. Therefore, the cyanide content measurement in water and distilled spirits is essential. Here, a Raman integrating sphere technique for the in situ detection of cyanide has been established, and a lower limit of detection of 1.56 mg L-1 in water and ethanol was achieved, owing to the efficient collection of Raman signals and the efficient use of laser power. The Raman peak of cyanide is located at 2080 cm-1. The detection range was from 1.56 to 25 mg L-1 cyanide in water, ethanol, and liquor with high linearity (R2 = 0.9986, 0.9986, and 0.9908) and precision (%RSD = 5.53%, 6.92%, and 14.12%). This instrument provides an alternative method for detecting cyanide, which can not only be used for accurate qualitative and quantitative detection of cyanide but also for food safety detection and physical evidence analysis of cyanide in beverage poisoning. Key to our method is that it offers advantages such as no need for sample pretreatment, simplicity and speed of operation, non-destructive analysis, minimal sample consumption (only 3 milliliters are required for a single measurement), and the ability to preserve the analyzed sample as evidence.","PeriodicalId":64,"journal":{"name":"Analytical Methods","volume":" ","pages":"1047-1052"},"PeriodicalIF":2.7,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142941524","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}

引用次数: 0

Accurate lamb origin identification and molecular differentiation analysis using rapid evaporative ionization mass spectrometry.

IF 2.7 3区化学

Analytical Methods Pub Date : 2025-01-30 DOI: 10.1039/d4ay02040e

Haiyan Gao, Yueguang Lv, Wenjing Zhao, Songying Wang, Jiayu Zhao, Yisheng Xu, Yuhan Shang, Renyu Zhang, Qiang Ma

{"title":"Accurate lamb origin identification and molecular differentiation analysis using rapid evaporative ionization mass spectrometry.","authors":"Haiyan Gao, Yueguang Lv, Wenjing Zhao, Songying Wang, Jiayu Zhao, Yisheng Xu, Yuhan Shang, Renyu Zhang, Qiang Ma","doi":"10.1039/d4ay02040e","DOIUrl":"https://doi.org/10.1039/d4ay02040e","url":null,"abstract":"Rapid and accurate methods for tracing and identifying the origin of lamb are crucial for ensuring food authenticity and quality. This study developed a precise traceability method to determine the origin of lamb by integrating rapid evaporative ionization mass spectrometry (REIMS) with multivariate statistical analysis. Lamb samples from Xilin Gol, Ordos, and Hulun Buir ranches were identified by REIMS fingerprinting within 1 min. The discrimination model based on lipid molecular features achieved the highest recognition accuracy of 99.14% compared to models based on small-molecule metabolites (91.59%), fatty acids (98.52%), and full-spectrum molecules (98.49%). Furthermore, differential analyses were conducted to assess lamb meat from different origins and feeding methods (grazing versus feedlot) using REIMS fingerprints. Lamb products from the Xilin Gol ranch exhibited significantly lower glycerophosphate (PA) content compared to lambs from other regions, while grazing resulted in significantly lower PA content in lamb meat compared to those fed in feedlots. Additionally, meat from grazed lambs had significantly higher unsaturated fatty acid content, providing molecular evidence for its superior nutritional quality and distinct flavor profile compared to the lambs from feedlot systems. REIMS is a promising tool for rapid discrimination of lamb meat from different origins and feeding systems with high accuracy, offering valuable technical support for lamb origin traceability and quality assessment.","PeriodicalId":64,"journal":{"name":"Analytical Methods","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143062506","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}

引用次数: 0

Optical biosensor arrays based on nanozymes for environmental monitoring and food safety detection: principles, design, and applications. 基于纳米酶的环境监测和食品安全检测光学生物传感器阵列：原理、设计和应用。

IF 2.7 3区化学

Analytical Methods Pub Date : 2025-01-30 DOI: 10.1039/d4ay02088j

Wei Zhang, Jiao Chen, Ling Xie

{"title":"Optical biosensor arrays based on nanozymes for environmental monitoring and food safety detection: principles, design, and applications.","authors":"Wei Zhang, Jiao Chen, Ling Xie","doi":"10.1039/d4ay02088j","DOIUrl":"10.1039/d4ay02088j","url":null,"abstract":"Typical biosensing platforms are based on the \"lock-and-key\" approach, providing high specificity and sensitivity for environmental and food safety monitoring. However, they are limited in their ability to detect multiple analytes simultaneously. With the use of pattern identification methods, biosensor arrays can detect faint fluctuations caused by multiple analytes with similar properties in complex systems. As a simple and efficient detection tool, optical biosensor arrays have become crucial for on-site and visible environmental and food safety monitoring. To enhance their practical applications, enzyme-like nanomaterial (nanozyme)-based biosensor arrays have been developed and integrated into optical biosensing platforms, leveraging their exposed active sites and tunable catalytic capabilities. For the development of an optical biosensor array, it is essential to incorporate multiple biosensing elements that can specifically interact with analytes to produce distinct \"fingerprint\" signals, enabling the differentiation of different targets via pattern identification. This review provides a comprehensive overview of nanozyme-based optical biosensor arrays for environmental and food safety monitoring. It explores the selective approaches of nanozyme-based colorimetric and fluorescent biosensor arrays, compares detection platforms utilizing nanozyme systems, and emphasizes the application of nanozyme-based optical biosensor arrays for environmental and food hazard monitoring. By evaluating current trends and summarizing both prospects and challenges, this review offers valuable guidance for the rational design of unique nanozyme-based optical biosensor arrays.","PeriodicalId":64,"journal":{"name":"Analytical Methods","volume":" ","pages":"882-891"},"PeriodicalIF":2.7,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142918723","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}

引用次数: 0

Can conformational flexibility influence the self-assembly behavior and sensing efficacy of fluorogenic amphiphiles? A case study with bisbenzimidazole-based probes. 构象灵活性能否影响含氟双亲化合物的自组装行为和传感功效？基于双苯并咪唑探针的案例研究。

IF 2.7 3区化学

Analytical Methods Pub Date : 2025-01-30 DOI: 10.1039/d4ay01644k

Suraj Pise, Imran Ahmad, Nilanjan Dey

{"title":"Can conformational flexibility influence the self-assembly behavior and sensing efficacy of fluorogenic amphiphiles? A case study with bisbenzimidazole-based probes.","authors":"Suraj Pise, Imran Ahmad, Nilanjan Dey","doi":"10.1039/d4ay01644k","DOIUrl":"10.1039/d4ay01644k","url":null,"abstract":"In this work, we have explored the metal ion sensing properties of two bisbenzimidazole-based fluorescent probes, that differ in their conformational flexibility, in an aqueous medium. The compound with a flexible methyl spacer (1) experienced blue shifts in its absorption and emission maxima (along with a turn-off response) upon the addition of Hg2+ ions. On the contrary, the compound with a relatively rigid structure (2) showed red shifts in both its absorption and emission maxima (along with a turn-off response) when treated with Hg2+ under similar conditions. Detailed mechanistic studies indicated that compound 1 formed a 1 : 2 complex with the Hg2+ ions, where both the pyridine nitrogen ends and benzimidazole units are involved in the coordination. However, for compound 2, the binding stoichiometry changed to 1 : 1 and the Hg2+ ions remained connected only through the pyridine nitrogen ends. Not only did changes in the molecular level interactions alter the optical response, but they also altered the efficacy of the Hg2+ sensing; the degree of response was more prominent with compound 1 than that of compound 2. Also, it was observed that the addition of Hg2+ to compound 1 could dissociate the preformed aggregated structures of 1, while in the case of compound 2, the addition of Hg2+ promotes aggregate formation. The sensor was further utilized for analysis of real-life water samples and the detection of Hg2+ under intracellular conditions (HeLa cells).","PeriodicalId":64,"journal":{"name":"Analytical Methods","volume":" ","pages":"1137-1147"},"PeriodicalIF":2.7,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142982005","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}

引用次数: 0

Localized surface plasmon resonance sensing based on monometallic gold nanoparticles: from material preparation to detection of bioanalytes. 基于单金属金纳米粒子的局部表面等离子体共振传感：从材料制备到生物分析物的检测。

IF 2.7 3区化学

Analytical Methods Pub Date : 2025-01-30 DOI: 10.1039/d4ay01509f

Peng Zhang, Huizhen Hou, Songshi Xu, Yingfei Wen, Yonghui Zhang, Fei Xing

{"title":"Localized surface plasmon resonance sensing based on monometallic gold nanoparticles: from material preparation to detection of bioanalytes.","authors":"Peng Zhang, Huizhen Hou, Songshi Xu, Yingfei Wen, Yonghui Zhang, Fei Xing","doi":"10.1039/d4ay01509f","DOIUrl":"10.1039/d4ay01509f","url":null,"abstract":"The tunable geometrical properties of gold nanoparticles (AuNPs) endow them with the capacity to exhibit distinct behaviors with respect to both macroscopic (color) and microscopic (resonance wavelength) aspects, which has been extensively utilized in localized surface plasmon resonance (LSPR) sensing platforms. Additionally, functionalizing AuNP surfaces enhances the platforms' capabilities, allowing for the detection of a wide range of molecules related to various aspects of human health. In this review, we comprehensively elucidate the fundamental principles of LSPR biosensing and provide an in-depth survey of the preparation processes for metal nanoparticles, encompassing deposition technology for large-scale particle production as well as ion reduction methods that afford superior control over the particles' physical and chemical attributes. The sensing strategies based on adjustment of the dielectric environment and particle dispersion-aggregation levels are thoroughly reviewed and discussed. The discussion focused on a specific class of nanoparticles, characterized by their uniform shape and size, with each section bifurcated into two parts: a summary of the salient features and recent discoveries pertaining to the sensing strategy, as well as illustrations of representative, cutting-edge applications employing the strategy. We specifically aim to scrutinize analytes commonly encountered in the biomedical realm, encompassing biomarkers that serve as indicators of a wide range of diseases and microbial pathogens, while also prognosticating the future development trends of LSPR optical biosensor platforms within the biomedical field.","PeriodicalId":64,"journal":{"name":"Analytical Methods","volume":" ","pages":"892-915"},"PeriodicalIF":2.7,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142845326","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}

引用次数: 0

A novel spectroscopy-deep learning approach for aqueous multi-heavy metal detection. 一种新的光谱深度学习方法用于水中多重重金属检测。

IF 2.7 3区化学

Analytical Methods Pub Date : 2025-01-30 DOI: 10.1039/d4ay01200c

Zhizhi Fu, Qianru Wan, Qiannan Duan, Jingzheng Lei, Jiacong Yan, Liulu Yao, Fan Song, Mingzhe Wu, Chi Zhou, WeiDong Wu, Fei Wang, Jianchao Lee

{"title":"A novel spectroscopy-deep learning approach for aqueous multi-heavy metal detection.","authors":"Zhizhi Fu, Qianru Wan, Qiannan Duan, Jingzheng Lei, Jiacong Yan, Liulu Yao, Fan Song, Mingzhe Wu, Chi Zhou, WeiDong Wu, Fei Wang, Jianchao Lee","doi":"10.1039/d4ay01200c","DOIUrl":"10.1039/d4ay01200c","url":null,"abstract":"Addressing heavy metal contamination in water bodies is a critical concern for environmental scientists. Traditional detection methods are often complex and costly. Recent advancements in artificial intelligence (AI), particularly machine learning (ML) and deep learning (DL), have shown significant potential in analytical chemistry. However, these AI models require extensive spectral data, which traditional methods struggle to provide quickly. To overcome this challenge, we developed a new digital spectral imaging system and rapidly collected 3000 digital spectra from mixed heavy metal samples. We then created an end-to-end regression model for predicting heavy metal concentrations in mixed water samples using deep convolutional neural networks (ResNet-50, Inception V1, and SqueezeNet V1.1). The results indicated that the trained ResNet-50 model can effectively detect arsenic, chromium, and copper simultaneously, with a linear fitting coefficient exceeding 0.99 between true and predicted values. This study offers an efficient approach for rapid heavy metal detection in complex water environments and serves as a reference for developing intelligent analytical techniques.","PeriodicalId":64,"journal":{"name":"Analytical Methods","volume":" ","pages":"1053-1061"},"PeriodicalIF":2.7,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142941468","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}

引用次数: 0

A CNN-based self-supervised learning framework for small-sample near-infrared spectroscopy classification. 基于cnn的小样本近红外光谱分类自监督学习框架。

IF 2.7 3区化学

Analytical Methods Pub Date : 2025-01-30 DOI: 10.1039/d4ay01970a

Rongyue Zhao, Wangsen Li, Jinchai Xu, Linjie Chen, Xuan Wei, Xiangzeng Kong

{"title":"A CNN-based self-supervised learning framework for small-sample near-infrared spectroscopy classification.","authors":"Rongyue Zhao, Wangsen Li, Jinchai Xu, Linjie Chen, Xuan Wei, Xiangzeng Kong","doi":"10.1039/d4ay01970a","DOIUrl":"10.1039/d4ay01970a","url":null,"abstract":"Near-infrared (NIR) spectroscopy, with its advantages of non-destructive analysis, simple operation, and fast detection speed, has been widely applied in various fields. However, the effectiveness of current spectral analysis techniques still relies on complex preprocessing and feature selection of spectral data. While data-driven deep learning can automatically extract features from raw spectral data, it typically requires large amounts of labeled data for training, limiting its application in spectral analysis. To address this issue, we propose a self-supervised learning (SSL) framework based on convolutional neural networks (CNN) to enhance spectral analysis performance with small sample sizes. The method comprises two learning stages: pre-training and fine-tuning. In the pre-training stage, a large amount of pseudo-labeled data is used to learn intrinsic spectral features, followed by fine-tuning with a smaller set of labeled data to complete the final model training. Applied to our own collected dataset of three tea varieties, the proposed model achieved a classification accuracy of 99.12%. Additionally, experiments on three public datasets demonstrated that the SSL model significantly outperforms traditional machine learning methods, achieving accuracies of 97.83%, 98.14%, and 99.89%, respectively. Comparative experiments further confirmed the effectiveness of the pre-training stage, with the highest accuracy improvement, reaching 10.41%. These results highlight the potential of the proposed method for handling small sample spectral data, providing a viable solution for improved spectral analysis.","PeriodicalId":64,"journal":{"name":"Analytical Methods","volume":" ","pages":"1090-1100"},"PeriodicalIF":2.7,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142968767","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}

引用次数: 0

A rapid and highly sensitive fluorescence immunochromatographic test strip for pepsin detection in human hypopharyngeal saliva. 一种检测人下咽唾液胃蛋白酶的快速、高灵敏度荧光免疫层析试纸条。

IF 2.7 3区化学

Analytical Methods Pub Date : 2025-01-30 DOI: 10.1039/d4ay01833h

Yaqi Liu, Lihong Chen, Jingtian Huang, Jialing Zhang, Shuting Chen, Zhenyu Lin, Ting Chen

{"title":"A rapid and highly sensitive fluorescence immunochromatographic test strip for pepsin detection in human hypopharyngeal saliva.","authors":"Yaqi Liu, Lihong Chen, Jingtian Huang, Jialing Zhang, Shuting Chen, Zhenyu Lin, Ting Chen","doi":"10.1039/d4ay01833h","DOIUrl":"10.1039/d4ay01833h","url":null,"abstract":"Pepsin serves as a potential biomarker for laryngopharyngeal reflux disease (LPRD). The reported methods for detecting pepsin still have limitations, such as long reaction times and low sensitivity. Therefore, it is crucial to develop a rapid, simple and sensitive detection method. In this study, a fluorescence immunochromatographic test strip was designed for point-of-care diagnostics of LPRD. To obtain optimal fluorescence immunochromatographic conditions, key experimental factors, including microsphere particle size, binding pH, and resuspension dilution ratio, were systematically evaluated. The optimal fluorescent microsphere size was determined to be 300 nm, the most suitable reaction pH was 8.0, and the ideal resuspension solution to storage solution ratio was 1 : 4. Under these optimal conditions, the sensor had a linear range of 2.5-100.0 ng mL-1 and a detection limit of 1.9 ng mL-1. The relative standard deviation was below 15% for both intra- and inter-batch reproducibility. Under accelerated damage conditions at 37 °C, the test value of the test strip could be kept basically unchanged for 14 days. There was no cross-reactivity of the test strip with pepsinogen I, pepsinogen II and other interferents. In the actual sample detection, the recovery rate was between 85% and 115%. Furthermore, the proposed method was demonstrated to be green and to exhibit strong applicability based on the evaluation using the AGREEprep and the BAGI. In addition, the method has the advantages of high sensitivity, accuracy, greenness and applicability, which can meet the needs of rapid quantitative on-site detection.","PeriodicalId":64,"journal":{"name":"Analytical Methods","volume":" ","pages":"1074-1079"},"PeriodicalIF":2.7,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142968779","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}

引用次数: 0

Ultrasensitive detection of methylene blue by surface-enhanced Raman scattering (SERS) with Ag nanoparticle-decorated magnetic CoNi layered double hydroxides. 银纳米粒子修饰磁CoNi层状双氢氧化物表面增强拉曼散射（SERS）超灵敏检测亚甲基蓝。

IF 2.7 3区化学

Analytical Methods Pub Date : 2025-01-30 DOI: 10.1039/d4ay01841a

Shuxian Ren, Jihong Fu, Guoqi Liu, Haipeng Zhang, Boshen Wang, Junli Yu

{"title":"Ultrasensitive detection of methylene blue by surface-enhanced Raman scattering (SERS) with Ag nanoparticle-decorated magnetic CoNi layered double hydroxides.","authors":"Shuxian Ren, Jihong Fu, Guoqi Liu, Haipeng Zhang, Boshen Wang, Junli Yu","doi":"10.1039/d4ay01841a","DOIUrl":"10.1039/d4ay01841a","url":null,"abstract":"The unreasonable use of organic dye leads to excessive residues in environmental water, which seriously threatens human health and the natural environment. In this paper, a spherical flower-like magnetic Fe3O4@CoNi layered double hydroxide@silver nanoparticle (Fe3O4@CoNi LDH@Ag NPs) SERS substrate was successfully fabricated via electrostatic self-assembly and applied for the sensitive detection of methylene blue (MB) in environmental water. The rapid concentration and separation of the SERS substrate from the water sample could be achieved using an external magnet. The Fe3O4@CoNi LDH@Ag NPs could not only rapidly enrich the trace analytes because of their outstanding absorptive capacity but also effectively enrich the cationic dye molecules to the \"hot spots\" through electrostatic interactions, resulting in higher SERS selectivity. Excellent SERS performance was observed, which exhibited a high enhancement factor (EF) of 5.81 × 108 and a low detection limit (LOD) of 1 × 10-11 mol L-1 with R6G as the probe molecule, and also possessed exceptional reproducibility and stability for at least 28 days. The Fe3O4@CoNi LDH@Ag NPs were used to detect MB, which displayed wide linearity (1 × 10-10 to 1 × 10-4 mol L-1) and high recoveries (89.68-103.72%). This Fe3O4@CoNi LDH@Ag NP substrate offers easy separation and selective detection of cationic dyes, providing potential application for the detection of environmental contaminants.","PeriodicalId":64,"journal":{"name":"Analytical Methods","volume":" ","pages":"1010-1020"},"PeriodicalIF":2.7,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142918727","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}

引用次数: 0