IF 6.1 1区化学

Talanta Pub Date : 2025-12-01 Epub Date: 2025-05-24 DOI: 10.1016/j.talanta.2025.128382

Chen Shen, Xiang Chen, Yan Yu, Lulu Qin, Guanhong Xu, Fangdi Wei, Jing Yang, Qin Hu, Yao Cen

{"title":"A novel fluorescent sensing platform for miRNA-210 detection based on signal amplification via SDA and self-assembly Cas12a system via RCT.","authors":"Chen Shen, Xiang Chen, Yan Yu, Lulu Qin, Guanhong Xu, Fangdi Wei, Jing Yang, Qin Hu, Yao Cen","doi":"10.1016/j.talanta.2025.128382","DOIUrl":"10.1016/j.talanta.2025.128382","url":null,"abstract":"In this work, a biosensing platform for miR-210 which is a potent biomarker for the early diagnosis of breast cancer was innovatively designed based on CRISPR/Cas12a by integrating strand displacement amplification and rolling circle transcription. The target opened the hairpin through toe-hold, allowing polymerization, incision and extension to occur which involved SDA. This process produced two chains: cycle chain and trigger. The cycle chain then complemented to the loop of the hairpin to open it, repeating the above process to generate additional trigger circularly. The trigger was bound to the notched dumbbell through base complementary pairing and then the dumbbell became intact by T4 DNA ligase. The closed dumbbell strand served as the initiator of transcription and the template for crRNA under the influence of T7 enzyme, and was responsible for the transcription of numerous crRNA sequences in a process called RCT. These sequences subsequently bound to Cas12a proteins, forming a binary complex. In the transcriptional state, the dumbbell was in an unwinding configuration, with the stem portion served as activator binding to the binary complex to facilitate trans-cleavage activity of Cas12a, which resulted in cleavage of the F-Q, generating fluorescent signals. The above platform could sensitively detect miR-210 with a detection limit of 6.67 fM. The platform has the advantages of being easy to use and flexible to sequence according to different target, making it feasible to detect different biomarkers in clinic settings.","PeriodicalId":435,"journal":{"name":"Talanta","volume":"295 ","pages":"128382"},"PeriodicalIF":6.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144179564","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}

引用次数: 0

Speciation of inorganic and organometallic arsenic in various matrices with a novel SPME fiber functionalized with iron nanoparticles prior to LC-ICP-MS determination. 在LC-ICP-MS测定之前，一种新型的具有铁纳米粒子功能化的SPME纤维在不同基质中的无机和有机金属砷的形态。

IF 6.1 1区化学

Talanta Pub Date : 2025-12-01 Epub Date: 2025-05-24 DOI: 10.1016/j.talanta.2025.128373

Ezel Boyacı, Ali Çağır, Talal Shahwan, Ahmet E Eroğlu

{"title":"Speciation of inorganic and organometallic arsenic in various matrices with a novel SPME fiber functionalized with iron nanoparticles prior to LC-ICP-MS determination.","authors":"Ezel Boyacı, Ali Çağır, Talal Shahwan, Ahmet E Eroğlu","doi":"10.1016/j.talanta.2025.128373","DOIUrl":"10.1016/j.talanta.2025.128373","url":null,"abstract":"A novel SPME-LC-ICP-MS methodology is described for the simultaneous microextraction/speciation/determination of the metabolically critical inorganic and organoarsenic species, namely, As(III), As(V), dimethylarsinic acid (DMA), and monomethylarsonic acid (MMA) in natural waters such as drinking and geothermal waters, and biological fluids such as urine. The novelty of the study stems also from the use of home-made SPME fibers for the extraction process, and from the proposed methodology needing no derivatization step. SPME fibers were prepared with in-tube capillary template approach through the immobilization of iron nanoparticles into agarose matrix. The fibers demonstrated reproducible extraction (<10 % RSD), good mechanical strength and good solvent resistivity. The separation of the analytes was realized by HPLC with a strong anion exchange column via gradient elution using different concentrations of (NH4)2CO3 (pH 8.50), and the on-line detection of eluted analytes was achieved by ICP-MS. The validity of the proposed methodology was verified via the analysis of certified reference materials (SRM 1643e, Natural Water-Trace Elements, and SRM 2669, Arsenic Species in Frozen Human Urine) and through spike recovery tests. The values of percentage recovery for SRM 2669 were 90.7 % for As(III), 99.8 % for As(V), 93.6 % for DMA, and 85.9 % for MMA. A good correlation was also found between the certified (60.45 μgL-1) and determined (59.00 μgL-1) values for SRM 1643e. Moreover, the speciation capability of the method was demonstrated on various natural waters and biological fluids.","PeriodicalId":435,"journal":{"name":"Talanta","volume":"295 ","pages":"128373"},"PeriodicalIF":6.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144186165","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}

引用次数: 0

The research on artificial intelligence-based Deer Velvet Antler traceability model based on emergent data features. 基于突发数据特征的人工智能鹿茸溯源模型研究。

IF 6.1 1区化学

Talanta Pub Date : 2025-12-01 Epub Date: 2025-05-22 DOI: 10.1016/j.talanta.2025.128357

Ke Shen, Peng Chen, Xiaoyu Yao, Xinru Nie, Herong Yu, Yu Li, Xiaoli Zhao, Chunqin Mao, Wei Zhang, Hui Xie, Tulin Lu

{"title":"The research on artificial intelligence-based Deer Velvet Antler traceability model based on emergent data features.","authors":"Ke Shen, Peng Chen, Xiaoyu Yao, Xinru Nie, Herong Yu, Yu Li, Xiaoli Zhao, Chunqin Mao, Wei Zhang, Hui Xie, Tulin Lu","doi":"10.1016/j.talanta.2025.128357","DOIUrl":"10.1016/j.talanta.2025.128357","url":null,"abstract":"Deer velvet antler(DVA) is highly valued for its nutritional properties, but its complex origins and widespread adulteration in the market have led to significant quality discrepancies. Therefore, this study aims to establish an efficient and accurate method for identifying different species of DVA to enhance classification accuracy and traceability. A total of 120 samples were collected from four species of deer antler velvet: Sika Deer Velvet Antler (SVA), Wapiti Velvet Antler (WVA), Reindeer Velvet Antler (RVA), and Moose Velvet Antler (MVA). Multidimensional features such as color, texture, odor, and composition were extracted using Computer Vision, Ultra-fast Gas Phase Electronic Nose, and High-Performance Liquid Chromatography (HPLC) techniques. Through multivariate statistical analysis (VIP >1, P < 0.05), 162 key discriminative factors were identified. Based on the principle of emergence, a classification model, Whale Optimization Algorithm- Random Forest (WOA-RF), was developed by combining Whale Optimization Algorithm (WOA) and Random Forest (RF) to optimize the classification process. The results demonstrated that the WOA-RF model achieved a 100 % success rate in classifying different DVA species. The proposed intelligent classification algorithm, based on the fusion of multidimensional data, not only enables highly efficient identification of DVA species but also reveals the emergent effects generated by the interaction of multidimensional features combined with optimization algorithms. This approach significantly surpasses the limitations of single techniques and provides crucial technical support and methodological guidance for food species identification and traceability.","PeriodicalId":435,"journal":{"name":"Talanta","volume":"295 ","pages":"128357"},"PeriodicalIF":6.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144186167","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}

引用次数: 0

AND logic gate-based alternating PER-Cas12a signal amplification system for ultrasensitive detection of sEVs. 基于AND逻辑门的交替PER-Cas12a信号放大系统，用于sev的超灵敏检测。

IF 6.1 1区化学

Talanta Pub Date : 2025-12-01 Epub Date: 2025-05-27 DOI: 10.1016/j.talanta.2025.128411

Man Wang, XuZhen Zhang, Jiayi Fan, Cuiling Zhang, Yuezhong Xian

{"title":"AND logic gate-based alternating PER-Cas12a signal amplification system for ultrasensitive detection of sEVs.","authors":"Man Wang, XuZhen Zhang, Jiayi Fan, Cuiling Zhang, Yuezhong Xian","doi":"10.1016/j.talanta.2025.128411","DOIUrl":"10.1016/j.talanta.2025.128411","url":null,"abstract":"Protein biomarkers on breast cancer-derived small extracellular vesicles (BC-sEVs) hold great promise in liquid biopsy. However, it remains challenging due to their inherent heterogeneity and low abundance. Herein, we developed an AND logic gate-based DNA cascade signal amplification strategy, termed Alternating Primer Exchange Reaction-activated Cas12a (Alt-PER-Cas12a), for the ultrasensitive detection of BC-sEVs in clinic samples. This dual-protein recognition system employs EpCAM/MUC1-specific capture probes to release two DNA hairpins (Hep and Hmu) as AND gate inputs in Alt-PER. The corresponding Hep and Hmu hairpins can initiate the Alt-PER with a large amount of primers to generate long single-stranded DNA products with alternating repeat units. Each repeating unit serves as a CRISPR activator, inducing the trans-cleavage activity of Cas12a and enabling cascade signal amplification. The as-constructed strategy exhibits excellent sensitivity with LOD of 2.6 × 103 particles/mL. It has been successfully used to discriminate breast cancer patients from healthy donors (AUC = 0.992) in clinical validation, and shows great potential for liquid biopsy.","PeriodicalId":435,"journal":{"name":"Talanta","volume":"295 ","pages":"128411"},"PeriodicalIF":6.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144191341","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}

引用次数: 0

Bisphenol A sensing using carbon fibre transducers with and without metal-organic frameworks modification: towards greener tools for fish safety and surveil ecosystems. 双酚A传感使用碳纤维换能器有或没有金属有机框架修改：迈向更环保的鱼类安全和监测生态系统的工具。

IF 6.1 1区化学

Talanta Pub Date : 2025-12-01 Epub Date: 2025-06-09 DOI: 10.1016/j.talanta.2025.128434

Vitória Dibo, Cristina Delerue-Matos, Simone Morais, Álvaro Torrinha

{"title":"Bisphenol A sensing using carbon fibre transducers with and without metal-organic frameworks modification: towards greener tools for fish safety and surveil ecosystems.","authors":"Vitória Dibo, Cristina Delerue-Matos, Simone Morais, Álvaro Torrinha","doi":"10.1016/j.talanta.2025.128434","DOIUrl":"10.1016/j.talanta.2025.128434","url":null,"abstract":"Bisphenol A (BPA) is widely used in plastic production; however, it has raised concerns about its human health implications and presence in aquatic ecosystems, as it is also known as an endocrine-disrupting compound. Given the urgency of developing eco-friendly monitoring tools, this study proposes and compares two novel green sensing platforms based on carbon paper (CP) for the determination of BPA in fish samples. One consists in the modification with a leaf-like shape zeolitic imidazolate framework (CP/ZIF-L), by a simple and water-based synthesis at room temperature, and the other uses a bare CP electrochemically pre-treated with sulfuric acid (CPP). Both sensors were morphologically and electrochemically characterized by scanning electron microscopy, energy-dispersive X-ray spectroscopy, X-ray diffraction, X-ray photoelectron spectroscopy, Fourier transform infrared spectroscopy, cyclic voltammetry and differential pulse voltammetry, and their greenness assessed by GAPI, Eco-scale and AGREE metrics. Under the optimum conditions, CP/ZIF-L and CPP exhibited a limit of detection of 15 ± 0.01 and 86 ± 2.9 nmol L-1, as well as a linear range over BPA concentration up to 1 μmol L-1 and 2 μmol L-1 with sensitivity up to 53.80 ± 0.17 and 31.62 ± 0.35 μA (μmol L-1) cm-2, respectively, confirming the superiority in performance of the MOF-based sensor for BPA detection. Upon validation in fish samples, both sensors achieved excellent accuracy (92.5 ± 5.9-103.1 ± 4.6 %), repeatability (4.1-5.7 %), reproducibility (7.1-7.3 %) and selectivity towards organic and inorganic interferents (-2.8-8.8 %). The sensors demonstrated superior greenness metrics compared to the traditional chromatographic method. Altogether, the results highlight the environmental friendliness, reliability and potential of the proposed sensors as green tools for BPA monitoring in complex environmental and food samples.","PeriodicalId":435,"journal":{"name":"Talanta","volume":"295 ","pages":"128434"},"PeriodicalIF":6.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144281925","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}

引用次数: 0

Structure-switching aptasensor for multiplex detection of antimalarial drugs via split T7 promoter-powered transcription generation of dual-color RNA aptamers. 通过分裂T7启动子转录生成双色RNA适体，用于抗疟药物多重检测的结构开关适体传感器。

IF 6.1 1区化学

Talanta Pub Date : 2025-12-01 Epub Date: 2025-05-29 DOI: 10.1016/j.talanta.2025.128386

Tiantian Chen, Qian Xiang, Xuemei Sang, Daxiu Li, Wenjiao Zhou, Fengfeng Xu

{"title":"Structure-switching aptasensor for multiplex detection of antimalarial drugs via split T7 promoter-powered transcription generation of dual-color RNA aptamers.","authors":"Tiantian Chen, Qian Xiang, Xuemei Sang, Daxiu Li, Wenjiao Zhou, Fengfeng Xu","doi":"10.1016/j.talanta.2025.128386","DOIUrl":"10.1016/j.talanta.2025.128386","url":null,"abstract":"Malaria remains a significant threat to global health, especially with the emergence of drug-resistant strains. Therefore, precise monitoring of antimalarial drug levels is crucial for assessing and managing drug resistance. Here, we report a multiplex aptasensor that enables simultaneous fluorescence detection of two antimalarial drugs (MQ and PQ) via split dsT7 promoter-mediated transcription of two-color light-up RNA aptamers. The detection mechanism relies on specific binding of target antimalarial drugs (MQ/PQ) to their aptamers, each triggering formation of intact dsT7 promoter to induce amplified transcription of its cognate RNA aptamer. The generated RNA aptamers bind their corresponding organic dyes (TO1-Biotin and MG) with high affinity, yielding 7.7-/25-fold fluorescence enhancement to enable ultrasensitive detection of MQ and PQ with limits of 0.71 ng/mL and 0.069 ng/mL, respectively. The method also exhibits high selectivity and low background signal. Furthermore, this label-free system achieves multiplexed detection of antimalarial drugs in 10-fold diluted human serum (recovery: 98.67-106.84 % for PQ and 99.89-106.19 % for MQ), demonstrating its real utility. This label-free system is adaptable to other biomarkers through aptamer replacement.","PeriodicalId":435,"journal":{"name":"Talanta","volume":"295 ","pages":"128386"},"PeriodicalIF":6.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144186166","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}

引用次数: 0

Improved analytical workflow towards machine learning supported N-glycomics-based biomarker discovery. 改进了机器学习的分析工作流程，支持基于n -糖组学的生物标志物发现。

IF 6.1 1区化学

Talanta Pub Date : 2025-12-01 Epub Date: 2025-05-26 DOI: 10.1016/j.talanta.2025.128389

Agnes Vathy-Fogarassy, Veronika Gombas, Rebeka Torok, Gabor Jarvas, Andras Guttman

{"title":"Improved analytical workflow towards machine learning supported N-glycomics-based biomarker discovery.","authors":"Agnes Vathy-Fogarassy, Veronika Gombas, Rebeka Torok, Gabor Jarvas, Andras Guttman","doi":"10.1016/j.talanta.2025.128389","DOIUrl":"10.1016/j.talanta.2025.128389","url":null,"abstract":"The composition and function of glycans are very complex thus manual data interpretation of their structural elucidation is difficult. Capillary electrophoresis is one of the liquid phase separation techniques, which is most frequently used to address these challenging tasks. Combining high-resolution capillary electrophoresis with machine learning-supported data interpretation holds the promise to gain as much chemical and clinical information from the analyzed samples as possible. However, this combination requires significant technological improvements both in the analytical and the data processing aspects. In this study we report on the development of an automated, liquid-handling robot-based sample preparation method to obtain reproducible and N-glycome profiles by capillary electrophoresis for the subsequent machine learning-supported data interpretation, which was optimized for the special needs of the analysis. The resulting new glycoanalytical workflow was then tested for a demanding problem to predict the effectiveness of chemotherapy treatments of lung cancer patients ensuring the effective management of the disease. Our findings revealed that the achieved N-glycan data contained important clinical information to accurately predict patient response to chemotherapy with AUC values ranged from 0.8290 to 0.8410.","PeriodicalId":435,"journal":{"name":"Talanta","volume":"295 ","pages":"128389"},"PeriodicalIF":6.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144191343","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}

引用次数: 0

A cascaded tapered seven-core fiber biosensor for rapid detection of the p53 protein in 293T cell lysate. 用于快速检测293T细胞裂解液中p53蛋白的级联锥形七芯纤维生物传感器。

IF 6.1 1区化学

Talanta Pub Date : 2025-12-01 Epub Date: 2025-05-25 DOI: 10.1016/j.talanta.2025.128384

Zhichao Zhang, Zefeng Li, Ruen Xie, Zhen Tian, Yicun Yao, Bingwu Yang, Jingao Zhang, Haili Ma, Lan Rao, Kuiru Wang, Binbin Yan, Xinzhu Sang, Chongxiu Yu, Bo Fu, Shengli Pu, Jinhui Yuan, Qiang Wu

引用次数: 0

Design of novel hybrid probe based on double recognition of aptamer-molecularly imprinted polymer-gold nanoparticles for food allergen gliadin sensing. 基于适配体-分子印迹聚合物-金纳米颗粒双重识别的新型混合探针设计用于食物过敏原麦胶蛋白检测。

IF 6.1 1区化学

Talanta Pub Date : 2025-12-01 Epub Date: 2025-05-28 DOI: 10.1016/j.talanta.2025.128344

Selenay Sadak, Gözde Aydoğdu Tığ, Bengi Uslu

{"title":"Design of novel hybrid probe based on double recognition of aptamer-molecularly imprinted polymer-gold nanoparticles for food allergen gliadin sensing.","authors":"Selenay Sadak, Gözde Aydoğdu Tığ, Bengi Uslu","doi":"10.1016/j.talanta.2025.128344","DOIUrl":"10.1016/j.talanta.2025.128344","url":null,"abstract":"Gliadins are allergenic proteins that can pose various risks to human health and are found in high amounts in the most commonly consumed foods. Gliadin, a component of gluten, triggers oxidative stress in celiac disease. Using sensitive analytical methods, especially in foods containing high amounts of these proteins, is crucial for food safety. Aptamer-based biosensors are widely preferred in electroanalytical methods. One of the promising approaches regarding biosensors is the studies in which aptamer-based sensors are combined with molecularly imprinted polymers. The antibody-like binding and ability of MIP to distinguish between molecules increases the method's selectivity. Using a platform modified with aptamer and molecularly imprinted polymer hybrid (MIP) as a new synthetic receptor film, this study presents a selective and sensitive label-free aptasensor for detecting a food allergy gliadin. For this purpose, screen printed gold electrode was used. The electrode surface was electrochemically coated with gold nanoparticles to bind the aptamer to the surface; then the aptamer-gliadin complex was dripped onto the surface and adhered to it, then, o-phenylene diamine monomer was used to synthesize a MIP surface. Gliadin was determined by using differential pulse voltammetry (DPV) in a wide range from 0.25 fg/mL to 1000 pg/mL. The developed method calculated LOD for gliadin determination as 0.011 fg/mL and LOQ as 0.034 fg/mL. The devised aptasensor was not only capable to the discrimination of the commonly found allergen compounds such as bovine serum albumin (BSA), casein, and ara-H1, but also it could detect the gliadin in spiked real samples such as gluten-free bread, crackers, cookies and brown rice cakes samples in the high recovery range of 98.1-104.6 %. The method could be a promising candidate for the sensitive determination of several allergens in food sample analysis.","PeriodicalId":435,"journal":{"name":"Talanta","volume":"295 ","pages":"128344"},"PeriodicalIF":6.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144179522","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}

引用次数: 0

Investigating plasma morphology at material boundaries under varying ambient pressures. 研究在不同环境压力下材料边界处的等离子体形态。

IF 6.1 1区化学

Talanta Pub Date : 2025-12-01 Epub Date: 2025-05-24 DOI: 10.1016/j.talanta.2025.128377

Megha Mohan, David Prochazka, Yi You, Jens Riedel, Igor Gornushkin, Ivana Ročňáková, Martin Papula, Pavel Pořízka, Jozef Kaiser

{"title":"Investigating plasma morphology at material boundaries under varying ambient pressures.","authors":"Megha Mohan, David Prochazka, Yi You, Jens Riedel, Igor Gornushkin, Ivana Ročňáková, Martin Papula, Pavel Pořízka, Jozef Kaiser","doi":"10.1016/j.talanta.2025.128377","DOIUrl":"10.1016/j.talanta.2025.128377","url":null,"abstract":"Laser-Induced Breakdown Spectroscopy (LIBS) is a widely used technique for elemental analysis. The analysis of the obtained LIBS spectra generally assumes plasma homogeneity. However, using focused laser beams for interrogation, LIBS probes materials on the microscale and is, thus, prone to artefacts from sample heterogeneities on the micrometre scale. An ablation at a material boundary of two matrices may result in a significant inhomogeneity in the plasma plume, which can severely impact the accuracy of quantitative analysis. Since this propagation of the surface morphology into the plasma plume is driven by the plasma expansion, its final impact is strongly pressure dependent. This study examines the influence of varying ambient pressures (7-1000 mbar) on plasma morphology, spectral characteristics, and key plasma properties such as electron number density at a well-defined Cu-Sn boundary, in comparison with the results obtained using homogeneous alloys. Several approaches of plasma imaging with bandpass filters, spectroscopy, and Radon transform-based 3D reconstruction were employed to analyse elemental distribution, signal-to-noise (SNR) and signal-to-background (SBR) ratios, as well as electron number densities. The 3D reconstructions revealed a pronounced plasma asymmetry for the ablation at the material boundary, in contrast to the near-axial symmetry observed for the ablation of homogeneous alloys. At lower pressures, this distinct elemental separation in plasma persisted, while higher pressures led to an increased collisional mixing and homogenization. SNR and SBR were consistently lower for ablation at the boundary compared to homogeneous samples. These findings highlight how boundary ablation contributes to plasma inhomogeneities in LIBS analysis of heterogeneous materials and emphasize the need to account for these effects when using LIBS for elemental mapping of fine heterogeneous structures.","PeriodicalId":435,"journal":{"name":"Talanta","volume":"295 ","pages":"128377"},"PeriodicalIF":6.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144186163","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}

引用次数: 0

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