Hemn A H Barzani, Rebaz Anwar Omer, Nergz Bayiz Abdulrahman, Hunar Yasin Muhammad, Seerwan Hamadameen Sulaiman
{"title":"Critical Evaluation of Analytical Strategies for the Quantification of Procaine and Its Metabolites Across Diverse Matrices.","authors":"Hemn A H Barzani, Rebaz Anwar Omer, Nergz Bayiz Abdulrahman, Hunar Yasin Muhammad, Seerwan Hamadameen Sulaiman","doi":"10.1080/10408347.2026.2665383","DOIUrl":"https://doi.org/10.1080/10408347.2026.2665383","url":null,"abstract":"<p><p>Procaine (PC) is an ester-type local anesthetic whose rapid enzymatic and chemical hydrolysis to p-aminobenzoic acid (PABA) makes intact-drug quantification exceptionally difficult across plasma, serum, urine, pharmaceutical formulations, and environmental waters, where PC exists only transiently and at ultra-trace levels; this review therefore aims to critically compare chromatographic, electrochemical, and spectroscopic strategies for the selective and sensitive measurement of PC and its metabolites. The evidence shows that physical separation by HPLC is indispensable for resolving PC from PABA and excipients, with fluorescence-enhanced HPLC achieving ng/mL sensitivity, while LC-MS/MS offers demonstrated analytical feasibility molecular selectivity and sub-ng to pg/mL limits enabling simultaneous PC-PABA profiling in ≤5 min; nanostructured and molecularly imprinted electrochemical sensors exploit the electroactive para-aminobenzoate moiety to provide rapid, matrix-tolerant nanomolar to sub-nanomolar detection that may reduce the extent of <i>ex vivo</i> hydrolysis due to rapid analysis and minimal sample handling time. Spectroscopic assays are suitable for high-throughput pharmaceutical and environmental screening, but their applicability is limited by drug instability and cross-reactivity. Given the relative scarcity of chromatographic studies on PC despite its instability-driven analytical complexity, future work should prioritize stabilization-coupled LC-MS/MS and next-generation electrochemical platforms, together with green, miniaturized workflows and AI-assisted optimization, to enable robust, high-confidence quantification of PC in real-world matrices.</p>","PeriodicalId":10744,"journal":{"name":"Critical reviews in analytical chemistry","volume":" ","pages":"1-29"},"PeriodicalIF":5.2,"publicationDate":"2026-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147856113","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":"Electrochemical Biosensors for Hepatocellular Carcinoma: Advances, Analytical Performance, and Clinical Translation.","authors":"Omar Ramadan, Waleed Alahmad, Charoenkwan Kraiya","doi":"10.1080/10408347.2026.2658858","DOIUrl":"https://doi.org/10.1080/10408347.2026.2658858","url":null,"abstract":"<p><p>Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality worldwide due to the limited sensitivity of current surveillance and diagnostic strategies for early-stage detection. Electrochemical biosensors have emerged as promising tools for HCC diagnostics owing to their high sensitivity, rapid response, low cost, and compatibility with point-of-care testing. This review provides a comprehensive overview of recent advances in electrochemical biosensors for HCC detection, focusing on key biomarkers such as alpha-fetoprotein (AFP), glypican-3 (GPC-3), AFP-L3, and circulating nucleic acids. We discuss developments in biorecognition strategies, nanomaterial-assisted signal amplification, and analytical performance of reported sensor platforms. In addition, the review critically examines the gap between laboratory-scale sensor performance particularly ultra-low detection limits and practical clinical requirements, including selectivity in complex biological matrices, reproducibility, long-term stability, and validation using clinical samples. The review also discusses how nanomaterial selection, fabrication complexity, and device variability influence the clinical translation of electrochemical biosensors. Finally, the review highlights future directions for developing clinically viable electrochemical biosensors, including multiplex biomarker detection, standardized validation with real clinical samples, scalable manufacturing approaches, and integration with artificial intelligence and digital health platforms to improve HCC monitoring.</p>","PeriodicalId":10744,"journal":{"name":"Critical reviews in analytical chemistry","volume":" ","pages":"1-29"},"PeriodicalIF":5.2,"publicationDate":"2026-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147834698","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}
Maged S Abdel-Kader, Pintu Prajapati, Safar M Alqahtani, Anzarul Haque
{"title":"Click Chemistry-Enabled Analytical Strategies for Food Safety, Quality, and Authenticity: Mechanistic Insights, Technological Advances, and Future Perspectives.","authors":"Maged S Abdel-Kader, Pintu Prajapati, Safar M Alqahtani, Anzarul Haque","doi":"10.1080/10408347.2026.2664547","DOIUrl":"https://doi.org/10.1080/10408347.2026.2664547","url":null,"abstract":"<p><p>Achieving food safety, quality, and authenticity need analytical strategies that can meet the challenges introduced by more complex matrices and ultra-trace contaminants. Recently, click-chemistry which has the attributes of selectivity, modularity, and rapid kinetics has emerged as powerful tool for food analytical science. This review highlights the role of click chemistry in various steps of the food analytical workflow, including sample preparation, sorbent engineering, signal amplification, and sensor-based detection. A significant focus will be placed on reaction mechanisms, improve analytical performance and real-world applicability along with a systematic overview of current limitations and associated regulatory challenges. This utilizes stable conjugation, efficient tagging, and tailored material functionalization to provide enhanced analytical selectivity, sensitivity, and reproducibility <i>via</i> click-enabled strategies. Such applications in sorbent design and molecular imprinting lead to higher extraction efficiency and tolerance toward matrix, while the redesign of click-mediated labeling approaches facilitates great improvements in both ionization efficiency and quantitative reliability for mass spectrometry. Moreover, the compatibility with optical and electrochemical sensors enables rapid and portable detection platforms. Notwithstanding these improvements, several hurdles remain, such as catalyst toxicity, matrix effects and interference, limits to scalability, high costs of substrates/reagents used in the sensors, and need for standardization of validation protocols. Wider implementation is further constrained by regulatory gaps and lack of acceptance for non-targeted and AI-assisted methodologies. Click-chemistry in future will be integrated with miniaturized, automatized, and data-driven systems for enable real-time, decentralized monitoring of food.</p>","PeriodicalId":10744,"journal":{"name":"Critical reviews in analytical chemistry","volume":" ","pages":"1-30"},"PeriodicalIF":5.2,"publicationDate":"2026-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147834665","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}
Juhee Park, Jeong-Eun Lee, Yong Sun Cho, Ji Yeon Choi
{"title":"Integrated Chiral Volatile Organic Compound, Gas Chromatography Mass Spectrometry, and Isotope Ratio Analyses with Interpretable Machine Learning for Flavor Authentication: A Critical Analytical Review.","authors":"Juhee Park, Jeong-Eun Lee, Yong Sun Cho, Ji Yeon Choi","doi":"10.1080/10408347.2026.2661750","DOIUrl":"https://doi.org/10.1080/10408347.2026.2661750","url":null,"abstract":"<p><p>This critical review summarizes chiral volatile organic compound (VOC) analysis principles and compound-specific isotope ratio measurements, evaluating their combined application in flavor authentication. Natural flavorings are highly susceptible to adulteration, highlighting the need for authentication strategies that capture both molecular complexity and stereochemical specificity. We discuss recent advances in VOC profiling, emphasizing enantiomeric ratios (ERs) as biosynthetically grounded authenticity markers. Extraction strategies that preserve ERs are compared, and enantioselective gas chromatography-mass spectrometry (GC-MS) workflows are outlined, together with assessments of comprehensive two-dimensional GC (GC × GC) and heart-cut multidimensional GC (MDGC) for resolving co-elution. Quantitative and fingerprinting modes, library development, quality assurance protocols, and chemometric pipelines incorporating machine learning (ML) are evaluated for classification accuracy and interpretability. Orthogonal confirmation using isotope ratio mass spectrometry (IRMS) enhances decision confidence near ER thresholds. Applications across teas, fruits, essential oils, and juices show that reproducibility depends on standardized pretreatment, verified enantioselective separation, uncertainty-aware ER reporting, and leakage-safe model validation. Modular pipelines integrating GC × GC/MDGC, interpretable ML, and IRMS-with transparent, traceable outputs aligned to labeling regulations-offer a route toward industrial implementation. We also propose an integrated VOC/ER-centered framework combining chiral GC-MS, GC-combustion/pyrolysis-IRMS, and interpretable ML, emphasizing ER fidelity, and grey-zone decision rules for authentication.</p>","PeriodicalId":10744,"journal":{"name":"Critical reviews in analytical chemistry","volume":" ","pages":"1-25"},"PeriodicalIF":5.2,"publicationDate":"2026-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147834693","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":"Fluorescent Probe-Based Strategies for Early Detection of Ovarian Cancer Biomarkers: A Review.","authors":"Muhanad Alhujaily, Alaa Shafie","doi":"10.1080/10408347.2026.2651153","DOIUrl":"https://doi.org/10.1080/10408347.2026.2651153","url":null,"abstract":"<p><p>Ovarian cancer remains one of the deadliest gynecological malignancies, largely because its early stages are clinically silent and difficult to detect with current diagnostic tools. Most patients are diagnosed only after the disease has progressed to advanced stages, where therapeutic options are limited and survival rates decline sharply. Therefore, developing highly sensitive and selective methods for early detection is critical for improving prognosis and reducing mortality. Fluorescent probe-based strategies have emerged as powerful tools for detecting ovarian cancer-associated biomarkers with high precision. These probes offer real-time visualization, minimal invasiveness, and excellent sensitivity, making them well-suited for monitoring subtle biochemical changes associated with early tumor development. A broad range of biomarkers relevant to ovarian cancer can be targeted using tailored fluorescent probes. The aim of this review is to provide a comprehensive and critical analysis of fluorescent probe-based strategies for detecting key ovarian cancer biomarkers, summarize recent technological advancements, evaluate their diagnostic value, and outline future opportunities for developing next-generation probes tailored for early ovarian cancer screening. In addition, this review discusses the underlying mechanisms exploited by these probes, including intramolecular charge transfer (ICT), aggregation-induced emission (AIE), excited-state intramolecular proton transfer (ESIPT), Förster resonance energy transfer (FRET), photoinduced electron transfer (PET), and other related fluorescence-based mechanisms.</p>","PeriodicalId":10744,"journal":{"name":"Critical reviews in analytical chemistry","volume":" ","pages":"1-32"},"PeriodicalIF":5.2,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147812080","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}
Manasa Chittipolu, Erica Alves, Savita Umarani, Ajaykumar Chittipolu, P Pattaluchetty, H R Rashmi, R S Chandan, Sheshagiri R Dixit, Riyaz Ali M Osmani, Gundawar Ravi, Amarjitsing Rajput
{"title":"Analytical and Bioanalytical Advances in Oxazolidinones: A Critical Review of Methods, Stability, and Clinical Translation.","authors":"Manasa Chittipolu, Erica Alves, Savita Umarani, Ajaykumar Chittipolu, P Pattaluchetty, H R Rashmi, R S Chandan, Sheshagiri R Dixit, Riyaz Ali M Osmani, Gundawar Ravi, Amarjitsing Rajput","doi":"10.1080/10408347.2026.2661000","DOIUrl":"https://doi.org/10.1080/10408347.2026.2661000","url":null,"abstract":"<p><p>Oxazolidinones remain pivotal in treating multidrug-resistant infections, yet analytical and bioanalytical methodologies supporting their development and clinical use remain uneven across the class. This critical review consolidates recent advances spanning formulation quality control to therapeutic drug monitoring (TDM), offering an integrated cross-platform comparison of how analytical and bioanalytical methodologies shape oxazolidinone readiness for precision antimicrobial therapy. Analytical methods-from spectrophotometry and HPLC to LC-MS/MS-have progressed toward stability-indicating workflows, impurity profiling, and regulatory alignment, with emerging but inconsistent adoption of Quality by Design (QbD) and Green Analytical Chemistry (GAC). Bioanalytical approaches, dominated by LC-MS/MS with evolving micro-sampling and matrix-adapted extractions, have enabled pharmacokinetic characterization, exposure-response evaluation, and patient-specific dose optimization. Together, these methodologies reveal a functional divide: analytical assays secure drug identity and formulation robustness, whereas bioanalytical tools translate oxazolidinones into clinical decision systems. However, major gaps persist, including limited characterization of newer investigational analogues, poor harmonization across matrices and laboratories, and underutilization of computational, mechanistic, and eco-sustainable strategies. Bridging these gaps requires integrated, standardized, and patient-centered analytical frameworks to ensure that both established and emerging oxazolidinones remain effective in the era of escalating antimicrobial resistance.</p>","PeriodicalId":10744,"journal":{"name":"Critical reviews in analytical chemistry","volume":" ","pages":"1-37"},"PeriodicalIF":5.2,"publicationDate":"2026-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147764862","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}
Mengdan Liu, Zhilong Yuan, Jun Chen, Shumao Guo, Tao Ma, Yue Wang, Benjuan Liu, Zhuo Wang, Wenjing Zhang
{"title":"Analytical Considerations and Often-Overlooked Aspects in the Therapeutic Drug Monitoring of Polymyxins in Human Biological Matrices Using LC-MS/MS.","authors":"Mengdan Liu, Zhilong Yuan, Jun Chen, Shumao Guo, Tao Ma, Yue Wang, Benjuan Liu, Zhuo Wang, Wenjing Zhang","doi":"10.1080/10408347.2026.2657552","DOIUrl":"https://doi.org/10.1080/10408347.2026.2657552","url":null,"abstract":"<p><p>Therapeutic drug monitoring (TDM) of polymyxins is paramount for optimizing efficacy and minimizing toxicity in the treatment of multidrug-resistant Gram-negative infections. However, accurate quantification <i>via</i> liquid chromatography-tandem mass spectrometry (LC-MS/MS) is compromised by a series of often-overlooked yet critical analytical challenges. This comprehensive review identifies and addresses three major pre-analytical and analytical pitfalls: (1) the inherent variability in compositional heterogeneity and the salt form of commercial standards, which we propose to correct using a batch-specific weighted average molecular weight formula;(2) significant nonspecific adsorption(NSA) to laboratory surfaces, requiring proactive mitigation strategies such as silanization and additive use; (3) the pronounced and pH-dependent instability of colistimethate sodium (CMS), which necessitates strict non-acidic sample preparation protocols to prevent artificial hydrolysis; Furthermore, we clarify the clinical contexts for measuring active versus total colistin concentrations. By synthesizing current evidence and offering practical methodological refinements, this work aims to enhance the accuracy, reproducibility, and clinical utility of polymyxins TDM, ultimately supporting more precise dosing and improved patient.</p>","PeriodicalId":10744,"journal":{"name":"Critical reviews in analytical chemistry","volume":" ","pages":"1-12"},"PeriodicalIF":5.2,"publicationDate":"2026-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147764944","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":"Recent Advances in Organic PET-Based Fluorometric Chemosensors for the Detection of Cu2<sup>+</sup> Ions.","authors":"Eid H Alosaimi","doi":"10.1080/10408347.2026.2661751","DOIUrl":"https://doi.org/10.1080/10408347.2026.2661751","url":null,"abstract":"<p><p>Copper is an essential trace element that plays critical roles in enzymatic catalysis, electron transport, and redox homeostasis in living systems. However, abnormal accumulation of Cu<sup>2+</sup> due to industrial discharge, agricultural runoff, and corrosion of plumbing systems can lead to severe environmental contamination and health complications. Therefore, the development of reliable and sensitive methods for Cu<sup>2+</sup> detection has become an urgent priority in environmental monitoring and biomedical diagnostics. Among various analytical techniques, fluorescence-based detection has emerged as a powerful approach owing to its high sensitivity, operational simplicity, rapid response, and real-time monitoring capability. In particular, organic fluorometric chemosensors have attracted significant attention due to their structural tunability, cost-effectiveness, strong emission properties, and compatibility with aqueous and biological systems. Photoinduced electron transfer (PET)-based sensors are among the most widely explored strategies in this field. In these systems, Cu<sup>2+</sup> binding modulates the PET pathway between donor and acceptor moieties, leading to fluorescence \"turn-on\" or \"turn-off\" responses. This review summarizes recent advances (2020-2026) in organic PET-based fluorometric chemosensors for Cu<sup>2+</sup> detection, focusing on molecular design principles, sensing mechanism, analytical performance, selectivity profiles, and practical applications in environmental and biological systems, while highlighting current challenges and future research directions. We hope this review will provide valuable insights and guidance to researchers for designing next-generation, highly efficient PET-based fluorescent probes for Cu<sup>2+</sup>sensing.</p>","PeriodicalId":10744,"journal":{"name":"Critical reviews in analytical chemistry","volume":" ","pages":"1-23"},"PeriodicalIF":5.2,"publicationDate":"2026-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147764934","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}
Ahmed S El-Tahlawy, Muzaffar Abbas, Waleed Alahmad, Charoenkwan Kraiya
{"title":"Toward Intelligent Meat Safety Systems: Molecularly Imprinted Polymers and Digital Integration.","authors":"Ahmed S El-Tahlawy, Muzaffar Abbas, Waleed Alahmad, Charoenkwan Kraiya","doi":"10.1080/10408347.2026.2654768","DOIUrl":"https://doi.org/10.1080/10408347.2026.2654768","url":null,"abstract":"<p><p>Meat safety and quality control require analytical tools that are fast, selective, and reliable in complex, lipid- and protein-rich matrices where conventional laboratory methods are often too slow, costly, and centralized. Molecularly imprinted polymers (MIPs), often described as plastic antibodies generated through templated polymerization, are emerging as a powerful alternative to biological receptors due to their tunable selectivity, high chemical and thermal stability, and ease of integration into portable sensing platforms. This review provides a focused, meat-centric and forward-looking synthesis of MIP design and sensing innovations for detecting veterinary drug residues, mycotoxins, spoilage biomarkers, and meat-borne pathogens. We critically compare key fabrication routes (bulk, surface-grafting, core-shell, emulsion and Pickering emulsion polymerizations), highlighting strategies such as hierarchical templating, epitope, and multi-template imprinting to improve binding-site accessibility and reduce nonspecific adsorption in real meat extracts. We then map how MIPs couple with modern transducers, including nanomaterial-enhanced electrochemical platforms, fluorescence and quantum dot systems, and SERS-active composites, as well as QCM and paper-microfluidic formats for low-infrastructure screening. Finally, we consider how emerging innovations may advance MIP-based sensors from laboratory concepts to practical tools, enabling decentralized, real-time monitoring throughout the meat supply chain from processing to retail and consumption.</p>","PeriodicalId":10744,"journal":{"name":"Critical reviews in analytical chemistry","volume":" ","pages":"1-22"},"PeriodicalIF":5.2,"publicationDate":"2026-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147728622","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}
Qing-Xiao Ma, Long-Yan Zhang, Jie Ren, Xuan-Yi Zhao, Hao Liu
{"title":"A Review on Food Safety Analysis Based on Spectroscopic Techniques and Machine Learning.","authors":"Qing-Xiao Ma, Long-Yan Zhang, Jie Ren, Xuan-Yi Zhao, Hao Liu","doi":"10.1080/10408347.2026.2658854","DOIUrl":"https://doi.org/10.1080/10408347.2026.2658854","url":null,"abstract":"<p><p>In recent years, the integration of spectroscopic techniques with machine learning algorithms has emerged as a powerful analytical paradigm, demonstrating significant potential across diverse sectors, including food safety, pharmaceuticals, and agriculture. This review focuses on the application of this combined approach in food safety analysis. It begins by outlining the fundamental principles of common spectroscopic methods and the theoretical foundations of relevant machine learning models. The core of the discussion systematically examines their specific applications in three critical areas: the identification of food adulteration, qualitative classification of unsafe components, and quantitative detection of contaminants or residues. By synthesizing recent advances, this study aims to provide a clear overview of the methodology's capabilities. Furthermore, it concludes by critically addressing the key technical and practical challenges that currently limit widespread industrial adoption, thereby highlighting pathways to translate this promising technology from laboratory research into robust real-world solutions for enhanced food safety monitoring.</p>","PeriodicalId":10744,"journal":{"name":"Critical reviews in analytical chemistry","volume":" ","pages":"1-14"},"PeriodicalIF":5.2,"publicationDate":"2026-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147728467","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}