Microchemical Journal最新文献

{"title":"A dual-purpose electrode material for voltametric quantification of uric acid and supercapacitor performance using dysprosium-doped CaZrO3","authors":"Nandini Robin Nadar ,&nbsp;J. Deepak ,&nbsp;S.C. Sharma ,&nbsp;B.R.Radha Krushna ,&nbsp;Chitathoor Sridhar ,&nbsp;Samir Sahu ,&nbsp;R. Sudarmani ,&nbsp;Chandrasekaran Krithika ,&nbsp;S. Vijayanand ,&nbsp;I.S. Pruthviraj ,&nbsp;H. Nagabhushana","doi":"10.1016/j.microc.2025.113081","DOIUrl":"10.1016/j.microc.2025.113081","url":null,"abstract":"<div><div>The development of advanced materials for biosensors has significantly enhanced the capability for efficient monitoring of uric acid, a critical biomarker for various diseases, including gout, cardiovascular disorders, and chronic kidney disease. This paper explores the novel application of dysprosium-doped calcium zirconate (DCZO) nanoparticles in electrochemical biosensors and supercapacitors for the first time. The DCZO-modified carbon paste electrode (MCPE) demonstrated a notable increase in sensitivity for uric acid (UA) detection, achieving a detection limit of 0.416 µM, with optimal performance at a pH of 7.0. The sensor exhibited linear responses to varying uric acid concentrations, scan rates, and dopamine (DA) interference, with R² values around 0.99. In supercapacitor applications, DCZO nanomaterials showed a remarkable specific capacitance of 224.8 F/g at a sweep rate of 2 mV/s, maintaining 86.36 % capacitance retention after 5000 cycles. These findings highlight the dual functionality of DCZO as an effective biosensor for uric acid detection and a robust material for supercapacitor applications.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"211 ","pages":"Article 113081"},"PeriodicalIF":4.9,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510078","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":"Data fusion of Fourier transform infrared spectroscopy and high-performance liquid chromatography for the origin identification of different medicinal rhizomes of genus Atractylodes","authors":"Hongfei Wu ,&nbsp;Mingjun Wang ,&nbsp;Zhiming Zeng ,&nbsp;Changyun Dai ,&nbsp;Feilong Ren ,&nbsp;Hongbo Yin ,&nbsp;Lu Chen","doi":"10.1016/j.microc.2025.113110","DOIUrl":"10.1016/j.microc.2025.113110","url":null,"abstract":"<div><div>The rhizomes of the genus <em>Atractylodes</em>, such as <em>A. lancea</em>, <em>A. chinensis</em>, <em>A. japonica</em>, <em>A. coreana</em>, and <em>A. macrocephala</em>, have been extensively utilized as prominent traditional herbal medicines across China, Japan, South Korea and other Asian countries. Due to the close genetic relationships and morphological similarities, confusion and misuse frequently arise. Although various methods exist to identify <em>Atractylodes</em> species based on their chemical profiles, they often focus on a limited subset, overlooking species like <em>A. coreana</em> which are frequently observed in the traditional herbal medicine market in northern China and limiting comprehensive identification. In this study, data fusion of spectral and chromatographic data was used for the first time to identify five different medicinal rhizomes derived from genus <em>Atractylodes</em>. It also serves as a preliminary exploration of the integration of Fourier Transform Infrared Spectroscopy (FTIR), High-Performance Liquid Chromatography (HPLC) fingerprinting, and chemical pattern recognition within the domain of origin identification of traditional herbal medicines. Our study demonstrated that the mid-level data fusion of FTIR and HPLC data using partial least squares-discriminant analysis (PLS-DA) and t-distributed stochastic neighbor embedding (t-SNE) constituted an effective approach for identification. While PLS-DA excels in supervised classification, t-SNE complements it by offering intuitive visualization of high-dimensional data, revealing clustering patterns among the species. The 81 batches of dried rhizomes from five species of <em>Atractylodes</em> were divided into training and prediction sets at a 2:1 ratio, employing the K-S algorithm, achieving a prediction accuracy of 100%. The integration of t-SNE further confirmed the separation achieved by PLS-DA, enhancing the interpretability of the classification results and highlighting the potential of data fusion combined with advanced visualization techniques in distinguishing closely related herbal species. Additionally, the results showed that the chemical differences of <em>Atractylodes</em> among various varieties were mainly reflected in polysaccharides, alkynes, and ketones, the chemical composition of <em>A. macrocephala</em> was very different from that of other species, while <em>A. japonica</em> was close to that of <em>A. coreana</em>. This may indicate the genetic distance among them. It can successfully distinguish the five often-confused medicinal rhizomes of <em>Atractylodes</em>, achieving a prediction accuracy of 100%. This study presents a feasible approach for identifying five closely related medicinal rhizomes of <em>Atractylodes</em> using data fusion, demonstrating its potential in addressing challenges associated with distinguishing morphologically similar herbal medicines.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"211 ","pages":"Article 113110"},"PeriodicalIF":4.9,"publicationDate":"2025-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143488029","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":"Intelligent microscopic imaging system based on microwell array chip for high-throughput analysis of single-cell heterogeneity","authors":"Lingzhi Ye ,&nbsp;Rui Deng ,&nbsp;Aiping Zhi ,&nbsp;Duo Sun ,&nbsp;Wei Ye ,&nbsp;Shi Hu ,&nbsp;Tingting Zhan ,&nbsp;Rui Hao ,&nbsp;Xi Chen ,&nbsp;Bin Sun ,&nbsp;Chunyan Liu ,&nbsp;Lin Dang ,&nbsp;Meng Li ,&nbsp;Zebin Chen ,&nbsp;Lin Zeng ,&nbsp;Jienan Shen ,&nbsp;Xiangmeng Qu ,&nbsp;Hui Yang","doi":"10.1016/j.microc.2025.113136","DOIUrl":"10.1016/j.microc.2025.113136","url":null,"abstract":"<div><div>With the increasing importance of single-cell analysis in many fields, such as biology and medicine, developing efficient and accurate high-throughput single-cell analysis technology has become a research hotspot. Herein, an intelligent microscopic imaging system based on microarray chips is reported to achieve high-throughput analysis of single cells. The system integrates a special microwell array chip, which can accurately locate and fix many single cells, providing a stable basis for the subsequent single-cell heterogeneity analysis. At the same time, it is equipped with an intelligent microscopic imaging module, which can obtain single-cell image data quickly and efficiently through an automated image acquisition program. The system, combined with advanced image analysis algorithms, can accurately extract key features such as the morphology and fluorescence signals of single cells from massive images and then realize in-depth analysis of multiple biological characteristics of single cells. As a proof of concept, six different types of cancer cells were selected A549, H1299, CT2A, SAOS-2, SH-SY5Y, U87, respectively. By processing 3900 microwell arrays on the chip, 2000 single cells were located and fixed simultaneously. The experimental results showed that the intelligent microscopic imaging system had shown good accuracy (90 %), repeatability, and high efficiency in high-throughput single-cell analysis, which is expected to provide strong technical support for many fields such as basic research in life science, disease diagnosis, and drug development, and significantly promote the research progress at the single-cell level.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"211 ","pages":"Article 113136"},"PeriodicalIF":4.9,"publicationDate":"2025-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143487967","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 miniaturized systems for colorectal cancer diagnosis: Cells, biomarkers, and therapeutic medications","authors":"Rania S. Ibrahim ,&nbsp;Hanaa M. Abd El-Wadood ,&nbsp;Marwa R. El-Zahry ,&nbsp;Noha M. Hosny","doi":"10.1016/j.microc.2025.113137","DOIUrl":"10.1016/j.microc.2025.113137","url":null,"abstract":"<div><div>Cancer is one of the most leading causes of death worldwide which is characterized by abnormal functions in the proliferation of the cells, leading to formation of solid mass of cells called tumors or cancer. Due to the possibility of cancer to convert to a metastatic stage, it is necessary to develop sensitive analytical methods using small volumes of samples, avoiding the complex steps of sample treatment, and acquiring sensitivity and selectivity. The miniaturized analytical methods with different detection systems accomplish these requirements. The advances in the miniaturization lead to the appearance of microfluidic devices that had been used in diagnosis of cancer. This led to the appearance of some new devices such as tumor-on-a-chip and organ-on-a-chip which can be used to rapidly diagnose the presence of cancer, high throughput screening of chemotherapeutic drugs, and study the tumor microenvironment in order to choose the right effective treatment regimen which is called precision medicine. This review discusses the employment of microfluidic devices and miniaturized detection systems in the diagnosis of colorectal cancer (CRC) which ranks at the third place in cancer-related deaths. Also, this review identifies the diagnosis of CRC through cells and its numerous biomarkers using these techniques with high specificity and sensitivity. Because of their various side effects, chemotherapeutic drugs used in the CRC treatment need continuous therapeutic monitoring accordingly, in this review, the miniaturized analytical methods used for monitoring of chemotherapeutic drugs are listed. In addition, the use of microfluidic devices for high throughput screening of drugs and measuring the efficiency of combination therapy in the treatment of CRC. This review article includes 202 references about the miniaturized analytical methodologies used for the detection of CRC cells, biomarkers, and drugs. It is worth emphasizing that this article is the first survey about the miniaturized approaches for assessment of the CRC drugs either alone or in combinations with other drugs. To conclude, this review article may help the researchers to develop new diagnostic techniques with increased sensitivity and accuracy by utilizing state-of-the-art microfluidic technologies. Finding particular biomarkers and investigating tumor heterogeneity and medication responses in CRC are made possible by the integration of microfluidics with biosensors, molecular assays, and imaging techniques. Hence, the present work may offer new aspects for the physicians to provide personalized treatment plans, accelerate patient recovery, and increase the survival rate and quality of life.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"211 ","pages":"Article 113137"},"PeriodicalIF":4.9,"publicationDate":"2025-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510076","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":"Comparative analysis of spectral variable selection methods for NIR-based multi-component detection of Xanthoceras sorbifolium Bunge seed kernels","authors":"Shengxin Li ,&nbsp;Ziyan Zhang ,&nbsp;Zhiran Zhang ,&nbsp;Sen Zhou ,&nbsp;Mengkai Liu ,&nbsp;Xichao Li ,&nbsp;Zheng Zheng ,&nbsp;Jie Sun","doi":"10.1016/j.microc.2025.113128","DOIUrl":"10.1016/j.microc.2025.113128","url":null,"abstract":"<div><div>The moisture, oil, protein, and nervonic acid contents are crucial criteria for assessing the nutritional value and processing quality of <em>Xanthoceras sorbifolia</em> Bunge seed kernels (XSKs). Near-infrared spectroscopy (NIRS) offers a viable alternative to conventional chemical methods for rapid and non-destructive sample analysis. This study employed a highly adaptive method known as competitive adaptive reweighted sampling (CARS), which facilitates variable selection for different components and streamlines the feature-variable screening process. Using this method, various algorithms were applied to establish NIRS detection models for the four components of XSKs, and accuracy evaluations were conducted using the prediction set determination coefficient (<span><math><msubsup><mtext>R</mtext><mrow><mtext>P</mtext></mrow><mtext>2</mtext></msubsup></math></span>), root-mean-square error (RMSEP), and other parameters. The results indicated that CARS effectively extracted key information on various components in NIRS. Based on the feature variables selected by CARS, the partial least squares regression (PLSR) model exhibited optimal performance regarding moisture (<span><math><msubsup><mtext>R</mtext><mrow><mtext>P</mtext></mrow><mtext>2</mtext></msubsup></math></span> = 0.978, RMSEP = 0.117 %) and nervonic acid content (<span><math><msubsup><mtext>R</mtext><mrow><mtext>P</mtext></mrow><mtext>2</mtext></msubsup></math></span> = 0.988, RMSEP = 0.072 %). Meanwhile, the particle swarm optimization-enhanced support vector regression (PSO-SVR) model and back-propagation neural networks (BPNN) achieved superior performance for protein (<span><math><msubsup><mtext>R</mtext><mrow><mtext>P</mtext></mrow><mtext>2</mtext></msubsup></math></span> = 0.989, RMSEP = 0.243 %) and oil content (<span><math><msubsup><mtext>R</mtext><mrow><mtext>P</mtext></mrow><mtext>2</mtext></msubsup></math></span> = 0.978, RMSEP = 0.467 %), respectively. These models enable rapid and non-destructive detection of multi-component content, thereby facilitating the expeditious identification and selection of XSKs with high nutritional value and superior quality.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"212 ","pages":"Article 113128"},"PeriodicalIF":4.9,"publicationDate":"2025-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143527403","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 plant esterase-catalyzed electrochemical sensing strategy for organophosphorus pesticide using 2,6-dichlorophenolindophenol as signal probe and FeSAC-NPC as electrocatalyst","authors":"Xingyue Luo ,&nbsp;Chun Ji ,&nbsp;Xiao Wang ,&nbsp;Laping He ,&nbsp;Yuangen Wu ,&nbsp;Han Tao","doi":"10.1016/j.microc.2025.113129","DOIUrl":"10.1016/j.microc.2025.113129","url":null,"abstract":"<div><div>Organophosphorus pesticides (OPs) can inhibit cholinesterase activity, posing great risks to human health. This work presents a new plant esterase-catalyzed pesticide detection strategy based on the indirect modulation of the electrochemical signal of 2,6-dichlorophenolindophenol by OPs. In this strategy, 2,6-dichlorophenolindophenol was employed as signal probe to generate a quantifiable cathodic peak. 1-naphthol, a product of 1-naphthyl acetate hydrolysis catalyzed by white kidney bean esterase (WKBE), can reduce 2,6-dichlorophenolindophenol, leading to a decrease in the electrochemical signal. However, in the presence of OPs, the activity of WKBE was inhibited, which suppressed the production of 1-naphthol, so that the electrochemical signal of 2,6-dichlorophenolindophenol could be restored to some extent. Notably, the degree of signal recovery was positively correlated with the amount of pesticide. Moreover, an iron single-atom catalyst dispersed in N-doped porous carbon (FeSAC-NPC) was prepared and utilized as an electrocatalyst to modify the electrode. Due to the atomically dispersed iron sites, along with the porous structure and high specific surface area of the carbon support, FeSAC-NPC exhibited superior catalytic performance to enhance the sensing signal. Under optimal conditions, the sensor showed good performance in detecting trichlorfon, with a wide linear range of 5 ng/L to 1 × 10⁵ ng/L and a low detection limit of 1.04 ng/L. The recoveries in actual samples varied from 92.96 % to 107.20 %, indicating the method’s practicality. This research presents a new “2,6-dichlorophenolindophenol-WKBE” assay system for simple and cost-effective detection of trace OPs residues in food, also offers a single-atom catalyst capable of promoting electrochemical sensor performance.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"211 ","pages":"Article 113129"},"PeriodicalIF":4.9,"publicationDate":"2025-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510526","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":"Ag/MnO/GCE electrode for accurate and rapid ammonium ion detection","authors":"Jianmin Yang,&nbsp;Hongxiu Lu,&nbsp;Kai Tang,&nbsp;Changxiang Yang,&nbsp;Gang Wang,&nbsp;Aidong Tang","doi":"10.1016/j.microc.2025.113102","DOIUrl":"10.1016/j.microc.2025.113102","url":null,"abstract":"<div><div>Ammonia nitrogen mainly comes from industrial wastewater and aquaculture water bodies, and the construction of a rapid and accurate detection method is of great significance for assessing and monitoring the pollution status of water bodies and the risk of eutrophication. In this study, an Ag/MnO/ Glassy carbon electrode (GCE) electrochemical sensor was constructed by the pulsed deposition method, which can rapidly, accurately and sensitively detect ammonia nitrogen at low concentration under neutral environment. MnO, as the main catalyst, can generate H₂O₂ to oxidise ammonia nitrogen, thus achieving sensitive detection of ammonia nitrogen. Meanwhile, Ag can significantly improve the sensitivity and stability of the sensor. The Ag/MnO/GCE sensor showed a linear range of 0.05–150 μM for the detection of ammonia nitrogen, with a detection limit of 0.015 μM, a sensitivity of 195.50 μA mM⁻¹ cm⁻², and ideal recoveries for the detection of actual samples (93.60 %–101.26 %). The sensor exhibited fast response, good stability and selectivity, and little interference from common ions in water, which offers a workable strategy for the accurate and rapid detection of ammonia nitrogen in water.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"211 ","pages":"Article 113102"},"PeriodicalIF":4.9,"publicationDate":"2025-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143487286","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":"4,4′-(1,2-Phenylenebis(methyleneoxy))dibenzoate based Cd(II)-coordination polymer: A turn-off-on photoluminescent sensor against ascorbic acid and aspirin","authors":"Jiajun Fang ,&nbsp;Yiguo Ayue ,&nbsp;Jingyi Liang ,&nbsp;Lu Lu ,&nbsp;Mohammad Khalid Parvez ,&nbsp;Mohammed S. Al-Dosari ,&nbsp;Shreya Srivastava ,&nbsp;Abhinav Kumar","doi":"10.1016/j.microc.2025.113112","DOIUrl":"10.1016/j.microc.2025.113112","url":null,"abstract":"<div><div>A new Cd(II)-coordination polymer (CP) [Cd(bpe)_0.5(L)] (<strong>1</strong>) has been synthesized employing 4,4′-(1,2-phenylenebis(methyleneoxy))dibenzoic acid (H₂L) and 1,2-bis(4-pyridyl)ethylene (bpe) ligands and characterized spectroscopically as well as by single-crystal X-ray diffraction which revealed that <strong>1</strong> is a 2D polymeric layer, in which the metal–ligand formation is built by the interesting H₂L bridging ligand. The CP <strong>1</strong> exhibits <em>turn-off</em> photoluminescent sensing of ascorbic acid (VC) showcasing limit of detection and <em>K</em>_SV of 1.325 × 10⁻⁵ M and 9.22 × 10³ M⁻¹, respectively. Theoretical calculations indicate that the <em>turn-off</em> sensing of VC by <strong>1</strong> can be accredited to the electron/energy transfer and non-covalent interactions between <strong>1</strong> and VC. Interestingly, the VC@<strong>1</strong> material exhibited restoration in photoluminescent emission on adding acetyl salicylic acid (ASA) and hence can be used as turn-on sensor for the selective and sensitive detection of ASA with limit of detection towards ASA to be 2.757 × 10⁻⁵ M having <em>K</em>_SV value of 4.43 × 10⁴ M⁻¹ The explanation for the restoration in photoluminescence intensity of VC@<strong>1</strong> on adding ASA has been rendered with theoretical calculations.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"211 ","pages":"Article 113112"},"PeriodicalIF":4.9,"publicationDate":"2025-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143511446","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":"RAA-CRISPR/Cas13a-assisted lateral flow strip for Feline herpesvirus Type I point-of-care testing","authors":"Qin Wu ,&nbsp;Gan Lin ,&nbsp;Junfeng Li ,&nbsp;Binjie Zhu ,&nbsp;Chenxi Lei ,&nbsp;Zheqi Zhou ,&nbsp;Yuhe Fu ,&nbsp;Lei Lei ,&nbsp;Jiali Xu ,&nbsp;Jing Xia ,&nbsp;Lingli Jiang ,&nbsp;Houhui Song ,&nbsp;Changyong Cheng","doi":"10.1016/j.microc.2025.113135","DOIUrl":"10.1016/j.microc.2025.113135","url":null,"abstract":"<div><div>Feline herpesvirus type 1 (FHV-1) is the major pathogen of feline upper respiratory tract disease (URTD) and ocular disease, accounting for approximately 50 %–75 % of URTD in susceptible cats. However, similar clinical symptoms of URTD were present in the early stages of URTD, which makes it difficult to determine the pathogens with the naked eye. For that, there are a variety of nucleic acid detection methods have been established for FHV-1 determination in past years. However, they need complicated thermal cycling, specialized instruments, long detection time, brings false results risk and etc, which is not suitable for point-of-care testing. Therefore, this study developed a new nucleic acid detection method depending on recombinase aided amplification (RAA) (37 °C, 25 min), CRISPR/Cas13a <em>trans</em>-cleavage (37 °C, 20 min) and lateral flow strip (room temperature, 3 min). Firstly, the recombinant plasmid DNA, crRNA, and RAA primer pairs targeting the FHV-1 UL23 gene were designed and prepared. Secondly, the nucleic acid was extracted by lysis buffer and simple centrifugation. Thirdly, FHV-1 RAA nucleic acid amplification reaction was performed followed by CRISPR/Cas13a <em>trans</em>-cleavage report RNA and lateral flow strip visual detection. As a result, the present assay showed high specificity towards FHV-1 without cross-reactivity with other pathogens resulted in URTD and high sensitivity with the limit of detection at 0.768 copies/μL for the FHV-1 UL23 gene. Furthermore, clinical samples application was conducted for 24 clinical swab samples collected from cats with URTD using the present assay and the reference fluorescent quantitative PCR method simultaneously. As we expected, the results of the present assay were in exceptional concordance with the reference fluorescent quantitative PCR method. Accordingly, the present RAA-CRISPR/Cas13a-assisted lateral flow strip was developed for the rapid, ultra-sensitive, simple-operation, relible, visual and point-of-care testing of FHV-1, which ensures FHV-1’s rapid diagnosis in the early stages of infection and support a appropriate treatment on time in resource-limited field.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"211 ","pages":"Article 113135"},"PeriodicalIF":4.9,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143487436","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":"Circulating tumour cells isolation in Asymmetrical meandering microchannel","authors":"Ahmed A. Ayash","doi":"10.1016/j.microc.2025.113132","DOIUrl":"10.1016/j.microc.2025.113132","url":null,"abstract":"<div><div>A microfluidic method is presented in the current work which allows full separation of circulating tumour cells (CTCs) from the blood biopsy of cancer patients. The method is based on using a microchannel with two separation zones. The first zone is meandering and equipped with seven identical electrodes. These electrodes generate dielectrophoretic forces that affect mostly the platelets and force them to separate first in this zone. This leaves only the target cells (CTCs) with RBCs and WBCs to flow through an expanded, curved section of the channel (second zone). This unique configuration allows generating intense hydrodynamic forces that can isolate CTCs completely. A numerical model is used to give insight into the cells separation and examine the performance of the proposed channel at different operating conditions. The computational results indicated that all CTCs can be separated when operating at a blood volume flow rate ranging from 10 to 20 µl/h. The two main electrical parameters (electrode voltage and AC current frequency) are also examined. The results showed that the voltage between 15 and 30 V and frequency between 20 and 70 kHz are the best ranges to isolate pure CTCs completely without including any blood cells (i.e. 100 % both separation efficiency and purity). Further, CTCs size is changed from 12 to 26 µm to mimic the effect of different CTC types and the results demonstrate clearly that with a single design various types of cancerous cells can be handled effectively.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"211 ","pages":"Article 113132"},"PeriodicalIF":4.9,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143488025","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}