Analytica Chimica Acta最新文献

{"title":"Novel probabilistic similarity scores for sets of replicate EI mass spectra","authors":"Amudhan Krishnaswamy-Usha ,&nbsp;Briana A. Capistran ,&nbsp;Anthony J. Kearsley","doi":"10.1016/j.aca.2025.343858","DOIUrl":"10.1016/j.aca.2025.343858","url":null,"abstract":"<div><h3>Background:</h3><div>Mass spectra are common signatures used to discriminate between compounds. This often involves the use of a <em>similarity score</em> to classify and distinguish between spectra of different compounds. To separate spectra of structurally similar compounds, multiple authors have explored the use of statistical and probabilistic methods applied to replicate mass spectra. In this paper, we explore the use of various averaged versions of the Kolmogorov–Smirnov and <em>t</em>-test statistics to compare peak intensities for sets of replicate mass spectra.</div></div><div><h3>Results:</h3><div>Using replicate gas chromatography electron ionization (GC-EI-MS) mass spectra of 25 forensically relevant compounds, we compare the ‘library match’ and total classification accuracy of our novel probabilistic similarity scores versus the ‘high dimensional consensus’ (HDC) score and other similarity scores previously used in this context. We show that the use of the harmonic mean of the Kolmogorov–Smirnov test statistics obtained from peak intensities results in accuracies comparable to the HDC score.</div></div><div><h3>Significance:</h3><div>Our results provide novel probabilistic similarity scores for replicate EI mass spectra, which outperform traditional scoring methods while at the same time minimizing the number of user-defined parameters and avoiding assumptions about the distributions of peak intensities.</div></div>","PeriodicalId":240,"journal":{"name":"Analytica Chimica Acta","volume":"1351 ","pages":"Article 343858"},"PeriodicalIF":5.7,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143546784","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":"Measuring the severity of knee osteoarthritis with an aberration-free fast line scanning Raman imaging system","authors":"Changwei Jiao ,&nbsp;Jiajing Ye ,&nbsp;Jiaqi Liao ,&nbsp;Jialun Li ,&nbsp;Junbo Liang ,&nbsp;Sailing He","doi":"10.1016/j.aca.2025.343900","DOIUrl":"10.1016/j.aca.2025.343900","url":null,"abstract":"<div><div>Osteoarthritis (OA) is a major cause of disability worldwide, with symptoms like joint pain, limited functionality, and decreased quality of life, potentially leading to deformity and irreversible damage. Chemical changes in joint tissues precede imaging alterations, making early diagnosis challenging for conventional methods like X-rays. Although Raman imaging provides detailed chemical information, it is time-consuming. This paper aims to achieve rapid osteoarthritis diagnosis and grading using a self-developed Raman imaging system combined with deep learning denoising and acceleration algorithms. Our self-developed aberration-corrected line-scanning confocal Raman imaging device acquires a line of Raman spectra (hundreds of points) per scan using a galvanometer or displacement stage, achieving spatial and spectral resolutions of 2 μm and 0.2 nm, respectively. Deep learning algorithms enhance the imaging speed by over 4 times through effective spectrum denoising and signal-to-noise ratio (SNR) improvement. By leveraging the denoising capabilities of deep learning, we are able to acquire high-quality Raman spectral data with a reduced integration time, thereby accelerating the imaging process. Experiments on the tibial plateau of osteoarthritis patients compared three excitation wavelengths (532, 671, and 785 nm), with 671 nm chosen for optimal SNR and minimal fluorescence. Machine learning algorithms achieved a 98 % accuracy in distinguishing articular from calcified cartilage and a 97 % accuracy in differentiating osteoarthritis grades I to IV. Our fast Raman imaging system, combining an aberration-corrected line-scanning confocal Raman imager with deep learning denoising, offers improved imaging speed and enhanced spectral and spatial resolutions. It enables rapid, label-free detection of osteoarthritis severity and can identify early compositional changes before clinical imaging, allowing precise grading and tailored treatment, thus advancing orthopedic diagnostics and improving patient outcomes.</div></div>","PeriodicalId":240,"journal":{"name":"Analytica Chimica Acta","volume":"1351 ","pages":"Article 343900"},"PeriodicalIF":5.7,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143546783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Monitoring the level of hydrogen sulfide in arthritis and its treatment with a novel near-infrared fluorescent probe","authors":"Jing-Jing Chao ,&nbsp;Ling Hu ,&nbsp;Jing-Fang Mi ,&nbsp;Guo-Jiang Mao ,&nbsp;Fen Xu ,&nbsp;Liufang Hu ,&nbsp;Juan Ouyang ,&nbsp;Chun-Yan Li","doi":"10.1016/j.aca.2025.343898","DOIUrl":"10.1016/j.aca.2025.343898","url":null,"abstract":"<div><div>Hydrogen sulfide (H₂S) is a physiological gaseous transmitter that plays a crucial role in maintaining the cellular redox state. Arthritis is usually accompanied by redness, swelling, pain, dysfunction and deformity of the joints, and in severe cases can lead to joint disability. Disorders of H₂S level are associated with the pathological process of arthritis. In this paper, a near-infrared fluorescent probe (TX-H₂S) was developed to detect the alterations in H₂S levels of arthritis. TX-H₂S has excellent response performance to H₂S such as near-infrared emission (725 nm), large Stokes shift (125 nm) and high fluorescence enhancement (72-fold). Owing to low cytotoxicity, the probe can be employed to observe the alterations of exogenous and endogenous H₂S level in HeLa and HepG2 cells. By making full use of near-infrared emission and good biocompatibility, the probe can be employed for exogenous H₂S imaging in mice, and is able to track the fluctuation of H₂S level during arthritis and its treatment. These make the probe have the potential to invent an efficient tool for the diagnosis of arthritic disease and its treatment.</div></div>","PeriodicalId":240,"journal":{"name":"Analytica Chimica Acta","volume":"1351 ","pages":"Article 343898"},"PeriodicalIF":5.7,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143546787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dual-branch convolutional neural network with attention modules for LIBS-NIRS data fusion in cement composition quantification","authors":"Chenwei Zhang ,&nbsp;Weiran Song ,&nbsp;Yihan Lyu ,&nbsp;Zhitan Liu ,&nbsp;Xinglong Gao ,&nbsp;Zongyu Hou ,&nbsp;Zhe Wang","doi":"10.1016/j.aca.2025.343899","DOIUrl":"10.1016/j.aca.2025.343899","url":null,"abstract":"<div><h3>Background</h3><div>Cement composition, including key oxides such as CaO, SiO₂, Al₂O₃, and Fe₂O₃, plays a critical role in determining cement's strength and durability. Real-time monitoring of these components during cement production is essential for ensuring optimal raw material ratios. Spectroscopic techniques, such as Laser Induced Breakdown Spectroscopy (LIBS) and Near Infrared Spectroscopy (NIRS), offer significant potential for rapid and non-destructive cement analysis, but their individual limitations, such as matrix effects in LIBS and spectral overlap in NIRS, necessitate an integrated method to achieve accurate and stable results.</div></div><div><h3>Results</h3><div>In this study, we propose a novel fusion method based on a dual-branch convolutional neural network with an attention module (DBAM-CNN) to synergize LIBS and NIRS data for enhanced cement component quantification. The dual-branch CNN structure enables feature extraction of atomic and molecular information from LIBS and NIRS data, respectively, optimizing the global task of improving quantitative analysis by capturing complementary information from both spectroscopic techniques. These features are then fused, and spatial and channel attention modules are used to refine the feature weights, enabling the model to effectively capture spectral fingerprint information. Experimental results show that the DBAM-CNN outperforms both existing fusion strategies and single technologies, demonstrating exceptional performance in real-time, high-precision cement composition analysis. SHAP analysis further reveals that the method highlights key features in LIBS and NIRS, leading to enhanced quantitative outcomes.</div></div><div><h3>Significance</h3><div>The proposed DBAM-CNN method significantly enhances cement composition analysis by effectively integrating complementary information from LIBS and NIRS. By addressing issues such as information redundancy and feature loss that are common in existing fusion strategies, this approach offers a more reliable and efficient solution for real-time, high-precision monitoring in cement production. It represents an advancement in spectroscopic data fusion techniques, paving the way for improved cement quality control.</div></div>","PeriodicalId":240,"journal":{"name":"Analytica Chimica Acta","volume":"1351 ","pages":"Article 343899"},"PeriodicalIF":5.7,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143546785","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":"Centrifugal microfluidic chip for multi-stage sorting and detection of microplastics at micron scale","authors":"Feifei Feng ,&nbsp;Wen-Qi Ye ,&nbsp;Xuecong Zhao ,&nbsp;Peng Wu ,&nbsp;Siwei Xiang ,&nbsp;Xing Fan ,&nbsp;Xiaohong Liu ,&nbsp;Hong Liu ,&nbsp;Wei Zhang","doi":"10.1016/j.aca.2025.343883","DOIUrl":"10.1016/j.aca.2025.343883","url":null,"abstract":"<div><h3>Background</h3><div>As an emerging contaminant, microplastics(MPs) have been widely detected in the environment, the environmental risks it poses are also becoming more prominent. Among them, micron-sized MPs have relatively higher biotoxicity, necessitating a technique for processing and analysis to separate them by particle size and analyze their composition. The most commonly used MPs separation technology at present is the membrane filtration, which is easily to cause membrane blockage and set error accumulation. Centrifugal microfluidic technology received great attention as a high efficiency, low error and simple operation technology, has great potential for the separation of MPs.</div></div><div><h3>Results</h3><div>In this paper, we have reported a multi-stage centrifugal microfluidic chip for the separation and detection of MPs (with diameter less than 63 μm). MPs of different diameters ranges were separated under the combination of Centrifugal force and Coriolis force, and orderly captured in four separation chambers according to their sizes. The capture rate of the microfluidic chip for polystyrene microspheres can reach about 87%. We also successfully separated MPs with irregular shapes. Under a rotation speed of 3500–4000 rpm, the maximum Pearson correlation coefficient between the volume equivalent diameters of the irregular MPs and the capture positions was about 0.84. Our proposed separation method was also applicable to MPs mixtures, which were successfully used for the separation of PVC, PC, and PS particles. The separated MPs can be directly identified to determine their chemical composition by Raman detection.</div></div><div><h3>Significance and novelty</h3><div>The experimental results demonstrate that our strategy is promising for separating and detecting MPs of different particle sizes in the environment and effectively overcomes the problem of error accumulation in traditional membrane separation methods. Furthermore, the device and methods developed in this study provide a foundational framework for formulating robust environmental risk assessment system.</div></div>","PeriodicalId":240,"journal":{"name":"Analytica Chimica Acta","volume":"1351 ","pages":"Article 343883"},"PeriodicalIF":5.7,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143546786","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":"Shear Flow Deformability Cytometry: A Microfluidic Method Advancing Towards Clinical Use-A review","authors":"Lija Fajdiga, Špela Zemljič, Tadej Kokalj, Jure Derganc","doi":"10.1016/j.aca.2025.343894","DOIUrl":"https://doi.org/10.1016/j.aca.2025.343894","url":null,"abstract":"<h3>Background</h3>Shear flow deformability cytometry is an emerging microfluidic technique that has undergone significant advances in the last few years and offers considerable potential for clinical diagnostics and disease monitoring. By simultaneously measuring mechanical and morphological parameters of single cells, it offers a comprehensive extension of traditional cell analysis, delivering unique insight into cell deformability, which is gaining recognition as a novel biomarker for health and disease. Due to its operating principle, the method is particularly suitable for the clinical analysis of blood samples.<h3>Results</h3>This review focuses on the recent developments in shear flow deformability cytometry, which is a widely adopted variant of deformability cytometry. It has a strong potential for applications in clinical practice due to its robust and simple operation, demonstrated applications with whole blood samples, as well as its high throughput, which can reach approximately 1000 cells per second. We begin by discussing some basic factors that influence the mechanical properties of cells and give an overview of deformability cytometry and its operational principles for samples from blood, cultured cells and tissues. Next, we review recent clinically relevant applications in analysis of blood and cancer cells. Finally, we address key challenges to clinical adoption, such as regulatory approval, scalable manufacturing, and workflow integration, emphasizing the need for further validation studies to facilitate clinical implementation.<h3>Significance</h3>This article uniquely emphasizes the clinical relevance of microfluidic shear flow deformability cytometry, by giving an overview of mechanical and morphological biomarkers studied in clinically significant samples. In addition, it addresses critical barriers to clinical translation. By identifying these obstacles, this article aims to demonstrate the potential of deformability cytometry to bridge the gap between the research and the routine medical practice.","PeriodicalId":240,"journal":{"name":"Analytica Chimica Acta","volume":"41 1","pages":""},"PeriodicalIF":6.2,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143539168","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":"Stable isotope tracing reveals glucose metabolism characteristics of drug-resistant B-cell acute lymphoblastic leukemia","authors":"Rong Hu, Zhengwei Duan, Mengyao Wang, Mengting Liu, Yaoxin Zhang, Yanxi Lu, Yuhan Qian, Enjie Wei, Jianghua Feng, Pengfei Guo, Yang Chen","doi":"10.1016/j.aca.2025.343884","DOIUrl":"https://doi.org/10.1016/j.aca.2025.343884","url":null,"abstract":"<h3>Background</h3>Adult B-cell acute lymphocytic leukemia (B-ALL) is a malignant hematologic tumor characterized by the uncontrolled proliferation of B-cell lymphoblasts in the bone marrow. Despite advances in treatment, including chemotherapy and consolidation therapy, many B-ALL patients experience unfavorable prognoses due to the development of drug resistance. The precise mechanisms governing chemotherapy resistance, particularly those related to metabolic reprogramming within tumors, remain inadequately elucidated.<h3>Results</h3>Nalm6/DOX cells exhibited significantly elevated levels of glucose, pyruvate, alanine, glutamine, and glycine compared to Nalm6 cells. Conversely, reduced levels of citrate, acetate, and leucine were observed in Nalm6/DOX cells. Upon exposure to the culture medium supplemented with tracer ¹³C₆-glucose, the Nalm6/DOX cells showed an increase in the abundance of ¹³C-alanine and a decrease in the levels of ¹³C-lactate, indicating impaired utilization of ¹³C-pyruvate. Combining β-chloro-alanine (ALTi) with DOX could decrease the drug resistance phenotype of Nalm6/DOX cells. The results demonstrated that glycolysis and tricarboxylic acid cycle were suppressed in Nalm6/DOX cells, while metabolic flux through the alanine and glutamine pathways was increased. Therefore, inhibition of alanine biosynthesis in Nalm6/DOX exhibits the potential to reverse drug resistance.<h3>Significance</h3>A new insight into the impact of metabolism on chemotherapy resistance in B-ALL has been gained through the use of stable isotope resolved metabolomics based on nuclear magnetic resonance and ultra-performance liquid chromatography/tandem mass spectrometry. This provides promising ways for the development of innovative therapeutic strategies to alleviate drug resistance and relapse in affected patients.","PeriodicalId":240,"journal":{"name":"Analytica Chimica Acta","volume":"17 1","pages":""},"PeriodicalIF":6.2,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143539169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A portable and efficient strategy for ofloxacin detection using Ce-based MOF-loaded glucose oxidase and a personal glucose meter","authors":"Qianqian Wang ,&nbsp;Baoshan He ,&nbsp;Yao Liu ,&nbsp;Ligen Wu ,&nbsp;Wenhong Zhao ,&nbsp;Dongdong Xie ,&nbsp;Wenjie Ren ,&nbsp;Yiwei Xu","doi":"10.1016/j.aca.2025.343880","DOIUrl":"10.1016/j.aca.2025.343880","url":null,"abstract":"<div><div>Antibiotic residues in food and the environment pose significant risks to public health and safety, necessitating the development of rapid, portable, and efficient detection methods. Ofloxacin (OFL), a widely used antibiotic, is of particular concern due to its potential for contamination in milk and surface water. Current detection methods often require expensive instrumentation and complex procedures, limiting their applicability for on-site testing. This work addresses the critical need for a cost-effective, portable approach to reliably detect OFL residues. We developed a novel personal glucose meter (PGM)-based aptasensor utilizing a porous spherical cerium-based metal-organic framework (Ce-MOF) as a loading platform for glucose oxidase (GOx) and oligonucleotide sequences (Ce-MOF-GOx-cDNA). The hybrid probe, formed by conjugating Ce-MOF-GOx-cDNA with aptamer-modified magnetic beads, enabled specific recognition of OFL through nucleobase pairing. The sensor exhibited a detection range of 50 pg/mL to 500 ng/mL with a detection limit of 40 pg/mL under optimal conditions. The process showed excellent selectivity, stability, and reproducibility. Real-sample testing in spiked milk and surface water demonstrated recovery rates of 99.5% – 108%, with relative standard deviations of less than 4.7%. This study presents a portable and efficient strategy for detecting OFL residues using a PGM-based aptasensor. The method combines simplicity, rapid detection, and high sensitivity, offering significant potential for on-site applications in food and environmental safety monitoring.</div></div>","PeriodicalId":240,"journal":{"name":"Analytica Chimica Acta","volume":"1351 ","pages":"Article 343880"},"PeriodicalIF":5.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143528209","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":"An azacrown ether-based near-infrared fluorescent probe for the detection of Pb2+ and its applications in food, environmental water, plant and animal samples","authors":"Yueyuan Zhang ,&nbsp;Huacong Wei ,&nbsp;Yu Li ,&nbsp;Zhuye Shang ,&nbsp;Run Zhang ,&nbsp;Zhiqiang Zhang ,&nbsp;Qingtao Meng","doi":"10.1016/j.aca.2025.343882","DOIUrl":"10.1016/j.aca.2025.343882","url":null,"abstract":"<div><h3>Background</h3><div>Lead ion (Pb²⁺), as a kind of heavy metal ion, is particularly harmful to human health and ecosystems due to its high toxicity and easy bioaccumulation. Fluorescent probes capable of selective and sensitive detection of Pb²⁺ are crucial for enabling rapid and on-site monitoring and regulation, thereby mitigating its adverse health and environmental impacts. Additionally, the development of fluorescence probes for the detection of Pb²⁺ in plant systems is rarely reported. Accordingly, the development of near-infrared (NIR) emission fluorescence probe for the detection of Pb²⁺ in food, environment and <em>in vivo</em> is of great significance.</div></div><div><h3>Results</h3><div>In this work, an azacrown ether-based NIR fluorescence probe <strong>LCE1</strong> was reported for the detection of Pb²⁺. Probe <strong>LCE1</strong> can generate 1:1 complex with Pb²⁺, resulting in the inhibition of ICT effect to reduce the fluorescence signal. <strong>LCE1</strong> exhibited many advantages, including NIR emission (<em>λ</em>_<em>em</em> = 670 nm), high selectivity and sensitivity (LOD = 0.34 μM) and fast response (30 s). The quantitative determination of Pb²⁺ in real food and water samples has been achieved with good recovery using <strong>LCE1</strong> as the probe. Concurrently, the on-site and rapid determination of Pb²⁺ in water sample was realized by smartphone-assisted <strong>LCE1</strong>-based test strip technology. Notably, the fluorescence imaging of Pb²⁺ in cells and animals has been successfully implemented using the probe <strong>LCE1</strong>. Most importantly, the fluorescence imaging of Pb²⁺ in Pb-hyperaccumulator plant samples has been successfully demonstrated.</div></div><div><h3>Significance</h3><div>LCE1 could provide new methods for understanding the physiopathological roles of Pb²⁺, evaluating food safety and selecting plants used to remediate soil contaminated by heavy metals.</div></div>","PeriodicalId":240,"journal":{"name":"Analytica Chimica Acta","volume":"1351 ","pages":"Article 343882"},"PeriodicalIF":5.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143526266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A novel fluorometric and colorimetric dual-mode sensor for AMI early diagnosis based on an ultrathin Fe-MOF-74 nanosheet with peroxidase mimic activity and fluorescence properties","authors":"Jinyan Liu ,&nbsp;Yong Wang ,&nbsp;Weijie Peng ,&nbsp;Bin Qiu ,&nbsp;Kwok-yin Wong ,&nbsp;Shuisheng Hu","doi":"10.1016/j.aca.2025.343800","DOIUrl":"10.1016/j.aca.2025.343800","url":null,"abstract":"<div><h3>Background</h3><div>Cardiac troponin I (cTnI) is a crucial diagnosis biomarker for acute myocardial infarction (AMI). Early accurate determination of the concentration of cTnI significantly decreases the death rate of AMI. Compared with classic methods, dual-mode sensors for cTnI determination could help reduce the false positive rate.</div></div><div><h3>Result</h3><div>In this work, an ultrathin Fe-MOF-74 nanosheet with fluorescence properties and peroxidase mimic activity was synthesized for the first time. Applying this nanosheet, a novel dual-mode sensor was developed to quantify cTnI in human serum. The ultrathin Fe-MOF-74 nanosheets catalyze the decomposition of hydrogen peroxide produced by glucose oxidase (GOx)-triggered enzyme-linked immunosorbent assay (ELISA) applying cTnI as an antigen target, to generate reactive oxygen species (ROS). 3,3′,5,5′-tetramethylbenzidine (TMB) can be oxidized by the generated free radicals, which simultaneously lead to the fluorescence quench of Fe-MOF-74 due to the inner filter effect (IFE). The correlation between the morphology of Fe-MOF-74 and its fluorescence intensity and peroxidase mimic activity was also investigated.</div></div><div><h3>Significance</h3><div>The sensors exhibited linearity with the concentration of cTnI in 10–2000 pg mL⁻¹ in both the fluorescence and visual mode with the detection limit of 6.4 pg mL⁻¹ and 8.4 pg mL⁻¹, respectively. It presenting good selectivity and anti-interference ability, can provide accurate and precise results in testing the concentration of cTnI in serum samples from patients in hospitals. It could be applied in the early diagnosis of AMI to reduce the incidence, disability, and mortality rates.</div></div>","PeriodicalId":240,"journal":{"name":"Analytica Chimica Acta","volume":"1350 ","pages":"Article 343800"},"PeriodicalIF":5.7,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143526268","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}