Eleni Proiou , Fani Pinakidou , Eleni C. Paloura , Nicolas Pétri , Thierry Gacoin , Corinne Laplace-Builhé , Götz Schuck , Antigoni Alexandrou , Maria Katsikini
{"title":"Spatial distribution and stability of Gd0.6Eu0.4VO4 nanoparticles injected in mouse ear pinnae","authors":"Eleni Proiou , Fani Pinakidou , Eleni C. Paloura , Nicolas Pétri , Thierry Gacoin , Corinne Laplace-Builhé , Götz Schuck , Antigoni Alexandrou , Maria Katsikini","doi":"10.1016/j.trac.2024.118049","DOIUrl":"10.1016/j.trac.2024.118049","url":null,"abstract":"<div><div>X-Ray Fluorescence (XRF) mapping is employed for the study of the spatial distribution of GdVO<sub>4</sub>:Eu nanoparticles (NPs) after their injection into mouse ear pinnae. The injected NP colloids were detectable in a concentration range from 5 to 30 mM in vanadate ions (90–530 nM in NP concentrations). The distribution maps were recorded separately for Gd, Eu, and V and reveal that the three elements are collocalized, indicating the NP stability after the injection. The distribution pattern of the NPs is not homogeneous; they follow bifurcated paths of easy flow demonstrating the complexity of the tissue-colloid interactions. The V–K, Gd-L<sub>3</sub> and Eu-L<sub>3</sub>-edge X-ray Absorption Fine Structure (XAFS) spectra of the NPs recorded prior to and after their injection confirm that the integrity of the nanoparticles is preserved after injection. This combined XRF/XAFS analysis paves the way for studies on the long-term fate of injected Gd-containing NPs in tissues.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"182 ","pages":"Article 118049"},"PeriodicalIF":11.8,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142720427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Qamar Salamat , Zinar Pinar Gumus , Mustafa Soylak
{"title":"Recent developments and applications of artificial intelligence in solid/liquid extraction studies","authors":"Qamar Salamat , Zinar Pinar Gumus , Mustafa Soylak","doi":"10.1016/j.trac.2024.118057","DOIUrl":"10.1016/j.trac.2024.118057","url":null,"abstract":"<div><div>Artificial intelligence has great potential in extraction processes, and these technologies greatly facilitate the transformation of data into meaningful information. This review highlights inference studies using artificial intelligence and provides an overview of the types of algorithms and advanced chemometric tools used in these studies. The use of artificial intelligence, which is mostly used in classification, origin determination, and studies with large data sets, is still very limited in SPE and LPME research and investigations. This review examined SPE and LPME studies for different analytes using keywords in other algorithms under the main title of artificial intelligence.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"182 ","pages":"Article 118057"},"PeriodicalIF":11.8,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142706215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sergio L.C. Ferreira , Leonardo S.G. Teixeira , William Q. Ferreira , Saulo V.A. Dantas , Adriana S. Lima , Maria G.A. Korn , Francisco A.S. Cunha , Victor Cerda , Walter N.L. dos Santos , Jucelino B. da Silva Junior , Olivia M.C. Oliveira
{"title":"Determination and assessment of contamination of toxic chemical elements in soils – Review","authors":"Sergio L.C. Ferreira , Leonardo S.G. Teixeira , William Q. Ferreira , Saulo V.A. Dantas , Adriana S. Lima , Maria G.A. Korn , Francisco A.S. Cunha , Victor Cerda , Walter N.L. dos Santos , Jucelino B. da Silva Junior , Olivia M.C. Oliveira","doi":"10.1016/j.trac.2024.118055","DOIUrl":"10.1016/j.trac.2024.118055","url":null,"abstract":"<div><div>This work reviews the main topics in determining and evaluating the contamination of the toxic chemical elements antimony, arsenic, cadmium, lead, and mercury in soils. Initially, the sampling and storage steps are discussed. Next, the advantages and limitations of drying methods using oven heating, freeze-drying, air drying, and infrared radiation are presented. Subsequently, the importance of particle size in soil analysis is addressed. In addition, sample preparation procedures involving microwave-assisted radiation and the acids and their mixtures used for digestion of soil matrices are commented. Subsequently, the spectrometric analytical methods used to quantify chemical elements, such as inductively coupled plasma optical emission spectrometry (ICP OES), inductively coupled plasma mass spectrometry (ICP-MS), atomic fluorescence spectrometry (AFS), atomic absorption spectrometry with electrothermal atomization (ET AAS) and the direct mercury analyzer (DMA) are compared. Finally, the single and integrated indices used to evaluate the contamination of soils with toxic chemical elements in are briefly reported.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"181 ","pages":"Article 118055"},"PeriodicalIF":11.8,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142658101","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jin Ding , Shanshan Qin , Xingguo Hou , Jiajia Zhang , Mengdie Yang , Shaohua Ma , Hua Zhu , Yutian Feng , Fei Yu
{"title":"Recent advances in emerging radiopharmaceuticals and the challenges in radiochemistry and analytical chemistry","authors":"Jin Ding , Shanshan Qin , Xingguo Hou , Jiajia Zhang , Mengdie Yang , Shaohua Ma , Hua Zhu , Yutian Feng , Fei Yu","doi":"10.1016/j.trac.2024.118053","DOIUrl":"10.1016/j.trac.2024.118053","url":null,"abstract":"<div><div>Radiopharmaceuticals are of growing interests in the development of theranostic agents and personalized medicine because of their unique advantages. Diagnosis (via molecular imaging) and treatment (via targeted radionuclide therapy) can be achieved simultaneously by altering the radionuclides with minimum effect on the pharmacokinetics of the agent, or by administration at different doses. Theranostic radiopharmaceuticals have advanced both preclinically and clinically, but methods for the production, purification, and analyses of these nuclides remain to be developed and optimized to support growing clinical trials. Herein, we summarized the production, preclinical and clinical development of several theranostic radionuclides and α-particle-emitting radionuclides. We focused on the progress and unmet need in the radiochemistry and analytical chemistry development during the clinical translation of radiopharmaceuticals, as efforts are required to provide guidance in dosimetry and quality control of radiopharmaceuticals in clinical applications.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"182 ","pages":"Article 118053"},"PeriodicalIF":11.8,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142706211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jingqi Shen , Di Zhang , Yanyan He , Yafang Shen , Miaolin Duan , Yan Zhao , Zunying Liu , Fei Jia
{"title":"Evolving CRISPR/Cas system for food safety monitoring across the food supply chain","authors":"Jingqi Shen , Di Zhang , Yanyan He , Yafang Shen , Miaolin Duan , Yan Zhao , Zunying Liu , Fei Jia","doi":"10.1016/j.trac.2024.118050","DOIUrl":"10.1016/j.trac.2024.118050","url":null,"abstract":"<div><div>The rapid detection methods are regarded as one of the most important ways to ensure food safety across the food supply chain worldwide. While the limitations including low sensitivity, poor portability and unsatisfactory accuracy still remain. The emerging CRISPR/Cas system, a powerful tool in gene editing and biosensing, possesses high specificity and sensitivity, showing great potential for food safety detection. This review comprehensively summarizes the CRISPR/Cas-based biosensing and its applications in food safety monitoring, spanning from the foundational principles to recent advancements. Divided from the detection requirements perspective, the technical development of CRISPR-Sensor is going through the stages from satisfying basic detection needs to pursuing better sensing performance. With the rapid development of artificial intelligence, the CRISPR-Sensor is empowered to revolutionize biosensing, offering more possibilities for continuous monitoring and accurate prediction. Lastly, the current challenges and future prospects of the CRISPR-Sensor for food safety monitoring are illustrated.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"181 ","pages":"Article 118050"},"PeriodicalIF":11.8,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142702969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 X-ray grating-based dark-field imaging","authors":"Zhili Wang","doi":"10.1016/j.trac.2024.118052","DOIUrl":"10.1016/j.trac.2024.118052","url":null,"abstract":"<div><div>As an emerging imaging modality, X-ray grating-based dark-field imaging provides valuable complementary information to conventional attenuation-based imaging. Dark-field imaging exploits the small-angle scattering arising from microstructures within a sample on length scales well below the system resolution. With the introduction of Talbot-Lau interferometer, dark-field imaging has demonstrated significantly improved radiological benefits in small-animal studies, especially for lung diseases. Recent development of dark-field chest radiography and human-sized dark-field computed tomography prototypes enables clinical dark-field imaging with human patients in the near future. In this review, we summarize recent advances in X-ray grating-based dark-field imaging, including dark-field chest radiography, dark-field tomography and dark-field tensor tomography, and introduce the potential in biomedical and industrial applications. We also discuss the limitations of current studies, and future hardware challenges to be overcome before the clinical routine use of X-ray grating-based dark-field imaging.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"181 ","pages":"Article 118052"},"PeriodicalIF":11.8,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142657616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yuhao Yan , Li Zeng , Jie Gao , Jiexia Cheng , Xuehan Zheng , Guangxuan Wang , Yun Ding , Jing Zhao , Hua Qin , Chao Zhao , Qian Luo , Runzeng Liu , Liqun Chen , Zongwei Cai , Bing Yan , Guangbo Qu , Guibin Jiang
{"title":"Pushing the frontiers of micro/nano-plastic detection with portable instruments","authors":"Yuhao Yan , Li Zeng , Jie Gao , Jiexia Cheng , Xuehan Zheng , Guangxuan Wang , Yun Ding , Jing Zhao , Hua Qin , Chao Zhao , Qian Luo , Runzeng Liu , Liqun Chen , Zongwei Cai , Bing Yan , Guangbo Qu , Guibin Jiang","doi":"10.1016/j.trac.2024.118044","DOIUrl":"10.1016/j.trac.2024.118044","url":null,"abstract":"<div><div>Micro/nano-plastics (MNPs) pollution is a significant environmental challenge with unclear health and ecological risks, necessitating real-time detection and monitoring across diverse environments. Increasing focus is being placed on developing portable, on-site detection methods to monitor the environment and mitigate plastic pollution. This review provides an overview of the principles and advancements in state-of-the-art portable instruments for real-world MNP detection, covering technologies such as spectroscopic instruments, electroanalysis with microfluidics, and mass spectrometry, while comparing their sensitivity, resolution, and suitability for different sample types. The review also addresses the challenges, including the complexity of environmental samples, nanoparticle detection, device miniaturization, and sophisticated data analysis requirements. Finally, it explores future directions, particularly integrating microfluidics with advanced sensing technologies, to enhance rapid environmental monitoring and pollution control. Our review aims to assist scientists in overcoming portable instrument limitations and encourage in designing miniaturized devices, thereby driving innovation in environmental monitoring and conservation.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"181 ","pages":"Article 118044"},"PeriodicalIF":11.8,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142702968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Integrated breath analysis technologies: Current advances and future prospects","authors":"Oluwatoyin Emmanuel Aina, Nadia Zine, Guy Raffin, Nicole Jaffrezic-Renault, Abdelhamid Elaissari, Abdelhamid Errachid","doi":"10.1016/j.trac.2024.118048","DOIUrl":"10.1016/j.trac.2024.118048","url":null,"abstract":"<div><div>The transformative impact of recent advancements in gas sensor technologies, crucial for industrial safety, environmental monitoring, quality assessment, healthcare, and consumer electronics, has been extensively investigated. Gas sensors play a pivotal role across various domains by offering real-time gas monitoring and detection capabilities. This review summarises the latest developments in gas sensor technologies, encompassing various sensor types employed in breath analysis and common nanomaterials for sensing. It provides insight into their performance evaluation based on sensitivity, selectivity, detection limit and response time and their applications in medical and environmental contexts. Also, we offer perspectives on the challenges and future direction imperative for the ongoing innovation of gas sensors as a smart tool for disease diagnosis, various industrial applications and environmental monitoring and management.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"181 ","pages":"Article 118048"},"PeriodicalIF":11.8,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142657615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Barbara Giussani , Giulia Gorla , Jokin Ezenarro , Jordi Riu , Ricard Boqué
{"title":"Navigating the complexity: Managing multivariate error and uncertainties in spectroscopic data modelling","authors":"Barbara Giussani , Giulia Gorla , Jokin Ezenarro , Jordi Riu , Ricard Boqué","doi":"10.1016/j.trac.2024.118051","DOIUrl":"10.1016/j.trac.2024.118051","url":null,"abstract":"<div><div>Spectroscopy and chemometrics, supported by computer science, have yielded promising outcomes, as evidenced by trends observed in literature searches. However, while researchers meticulously construct chemometric models for exploratory, quantitation and classification purposes, the investigation of data quality, particularly error analysis, remains less frequent. Understanding and quantifying measurement errors is crucial for robust spectroscopic modeling and uncertainty estimation. By unraveling complexities related to multivariate errors and uncertainties in spectroscopic data, the scientific community is empowered to extract reliable information from spectroscopic analyses, paving the way for enhanced analytical practices. This review underscores the necessity for the scientific community to integrate error analysis and uncertainty estimation into multivariate analysis methods, offering tailored solutions for diverse data types and analysis objectives.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"181 ","pages":"Article 118051"},"PeriodicalIF":11.8,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Huishu Huang , Ying Li , Yuwei Wu , Xinyu Zhao , He Gao , Xinqiang Xie , Lei Wu , Hui Zhao , Longyan Li , Jumei Zhang , Moutong Chen , Qingping Wu
{"title":"Advances in Helicobacter pylori detection technology: From pathology-based to multi-omic based methods","authors":"Huishu Huang , Ying Li , Yuwei Wu , Xinyu Zhao , He Gao , Xinqiang Xie , Lei Wu , Hui Zhao , Longyan Li , Jumei Zhang , Moutong Chen , Qingping Wu","doi":"10.1016/j.trac.2024.118041","DOIUrl":"10.1016/j.trac.2024.118041","url":null,"abstract":"<div><div>Traditional detection methods for <em>Helicobacter pylori</em> (<em>H. pylori</em>) infection are complex and time-consuming, which hinders their large-scale application. In recent years, advances in multi-omics techniques have expanded the detection targets for <em>H. pylori</em>. Simultaneously, the development of technologies such as CRISPR/Cas systems, biosensors and artificial intelligence image recognition systems has also promoted the development of detection technology. Therefore, systematic summary and in-depth description of the latest technology will facilitate the advancement of <em>H. pylori</em> detection. In this paper, the existing <em>H</em>. <em>pylori</em> detection methods are divided into four categories according to detection targets: pathological detection, metabolic detection, proteomic detection and nucleic acid detection. The working principles and application characteristics are reviewed, and their advantages and limitations are compared. This article is not exhaustive, but it also discusses potential techniques that could inspire the development of faster, more accurate, and more convenient detection systems for <em>H. pylori</em> infection.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"182 ","pages":"Article 118041"},"PeriodicalIF":11.8,"publicationDate":"2024-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142706216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}