TalantaPub Date : 2025-09-08DOI: 10.1016/j.talanta.2025.128779
Paulo Cardoso Gomes-Junior , Karen Kenlderi de Lima Augusto , Gustavo Patelli Longatto , Renan de Oliveira Gonçalves , Éder Tadeu Gomes Cavalheiro , Orlando Fatibello-Filho , Evandro Piccin
{"title":"Green synthesis of silver nanoparticles in deep eutectic solvent and their application in an electrochemical sensor for famotidine determination in pharmaceutical and biological samples","authors":"Paulo Cardoso Gomes-Junior , Karen Kenlderi de Lima Augusto , Gustavo Patelli Longatto , Renan de Oliveira Gonçalves , Éder Tadeu Gomes Cavalheiro , Orlando Fatibello-Filho , Evandro Piccin","doi":"10.1016/j.talanta.2025.128779","DOIUrl":"10.1016/j.talanta.2025.128779","url":null,"abstract":"<div><div>Deep eutectic solvents (DES) are emerging as eco-friendly alternatives to hazardous organic solvents due to their biodegradability, low volatility, and thermal stability. This study presents the use of a DES composed of choline chloride (ChCl) and diethanolamine (DEA) as medium to synthesize silver nanoparticles (AgNPs). The resulting nanoparticles were subsequently utilized in the fabrication of a composite electrochemical sensor. Firstly, for the DES, the eutectic point was determined using differential scanning calorimetry (DSC). Characterizations using FTIR and NMR spectroscopy provided insights into precursor interactions, while physicochemical properties such as water content, conductivity, and viscosity were also evaluated. The synthesis of AgNPs in the DES medium was possible without using a conventional reducing agent and at a temperature below 100 °C. Transmission electron microscopy (TEM), energy dispersive spectroscopy (EDS), selected area electron diffraction (SAED), and X-ray diffraction (XRD) revealed AgNPs with varied shapes and polycrystalline nature with cubic structures. These AgNPs were then used to construct a composite sensor with carbon black (CB) for detecting famotidine (FMT). The sensor exhibited enhanced performance, especially due to AgNPs-DES, which allowed linear response for FMT in the range 0.5–260 μmol L<sup>−1</sup>, with a limit of detection of 90 nmol L<sup>−1</sup>. Excellent performances were verified for repeatability, anti-interferences features, and to determine FMT in pharmaceutical and biological fluid samples. Key metrics such as the diffusion coefficient ((1.1 ± 0.5) × 10<sup>−4</sup> cm<sup>2</sup> s<sup>−1</sup>) and catalytic constant ((1.0 ± 0.1) × 10<sup>3</sup> mol<sup>−1</sup> L s<sup>−1</sup>) were significantly improved with the addition of AgNPs in the sensor.</div></div>","PeriodicalId":435,"journal":{"name":"Talanta","volume":"298 ","pages":"Article 128779"},"PeriodicalIF":6.1,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145047676","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}
TalantaPub Date : 2025-09-08DOI: 10.1016/j.talanta.2025.128826
Huanhuan Ruan , Shiming Yang , Jun Hu , Le Li , Yun Shen , Zhixu Wu , Lujun Hong , Tianjing Guo , Jiangtao Lei
{"title":"A novel approach to enhance terahertz metamaterial's sensor sensitivity for low-dose Aβ42 protein detection: constructing a bilayer structure with rotational symmetry arrangement","authors":"Huanhuan Ruan , Shiming Yang , Jun Hu , Le Li , Yun Shen , Zhixu Wu , Lujun Hong , Tianjing Guo , Jiangtao Lei","doi":"10.1016/j.talanta.2025.128826","DOIUrl":"10.1016/j.talanta.2025.128826","url":null,"abstract":"<div><div>Combining the non-labeling and non-destructive characteristics of terahertz (THz) waves, THz metamaterials are widely applied for biomedical and medical detection. However, the sensitivity of conventional sensors diminishes gradually with the decrease of analyte's thickness, meaning that detection capability is limited for ultrathin or extremely low-dose analytes. Here, we have proposed a novel approach to overcome this limitation by implementing a systematic dual-layer superposition based on Taichi-like toroidal dipole metamaterials. The sensitivity of bilayer structure is maximized due to coupling enhancement of the electromagnetic field when top and bottom layers present a 90° rotational symmetry arrangement. Difference to traditional single-layer metamaterials, the sensitivity of the bilayer structure increases with the decrease of analyte's thickness. The sensitivity of the dual-layer sensor is up to 460 GHz/RIU when the analyte thickness is 1 μm, which is 3.15 times that of the initial single-layer sensor and surpasses the sensitivity of other reported metamaterial structures. The sensitivity further increases as the number of layers increases. It's pretty interesting that the multiple superposition also increases the sensitivity of other metasurfaces. As a sensor, the double-layer structure can achieve the detection of Aβ<sub>42</sub> protein associated with Alzheimer's disease at a concentration as low as 10 ng/ml, which represents a tenfold improvement over the original single-layer structure. These results provide an effective method to improve the detection capability of THz metamaterials.</div></div>","PeriodicalId":435,"journal":{"name":"Talanta","volume":"298 ","pages":"Article 128826"},"PeriodicalIF":6.1,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145045529","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}
TalantaPub Date : 2025-09-07DOI: 10.1016/j.talanta.2025.128818
Serkan Erdemir, Sait Malkondu, Mehmet Oguz, Duygu Aydin
{"title":"Smart and user-friendly food quality monitoring using a red-emitting fluorescent probe for volatile primary amine detection.","authors":"Serkan Erdemir, Sait Malkondu, Mehmet Oguz, Duygu Aydin","doi":"10.1016/j.talanta.2025.128818","DOIUrl":"https://doi.org/10.1016/j.talanta.2025.128818","url":null,"abstract":"<p><p>Biogenic amines (BAs) are organic nitrogen compounds formed through microbial decarboxylation of amino acids during food spoilage and biological metabolism. Therefore, the development of rapid, selective, and cost-effective detection strategies for BAs is significant for ensuring food safety and quality. In this study, a new dicyanoisophorone-based fluorescent probe (IPC) was developed, capable of fluorescence detection of aliphatic primary amines (e.g., cadaverine and propylamine). The probe exhibited outstanding analytical performance for cadaverine in like propylamine, with a low detection limit (0.61 μM), fast response time (∼2 min), solid-state red emission with a large Stokes shift (∼217 nm), and selective reactivity while remaining unresponsive to other amines. Application-wise, the probe was integrated into test strips and polymer films, demonstrating visible color and fluorescence shifts upon exposure to biogenic amine vapors under daylight and UV illumination. Real-world applicability was validated using shrimp and chicken samples, where BA levels were successfully monitored non-destructively through RGB analysis via a smartphone camera. Furthermore, a sensor array comprising 12 solvent environments revealed distinct digital color and fluorescence fingerprints for three different amines. In summary, the developed IPC-based sensor platform offers a portable, cost-effective, user-friendly, and highly selective approach for the visual and digital detection of biogenic amines.</p>","PeriodicalId":435,"journal":{"name":"Talanta","volume":"297 Pt B","pages":"128818"},"PeriodicalIF":6.1,"publicationDate":"2025-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145028749","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}
TalantaPub Date : 2025-09-07DOI: 10.1016/j.talanta.2025.128827
Eda Gumus , Haluk Bingol , Erhan Zor
{"title":"Development of lateral flow assay for quantitative analysis of growth hormone","authors":"Eda Gumus , Haluk Bingol , Erhan Zor","doi":"10.1016/j.talanta.2025.128827","DOIUrl":"10.1016/j.talanta.2025.128827","url":null,"abstract":"<div><div>Monitoring the level of growth hormone (GH) is very important in childhood and adulthood because much or little secretion of growth hormone in the human body causes diseases such as dwarfism, gigantism and acromegaly. In this study, a lateral flow assay (LFA) was developed for quantitative determination of GH. The limit of detection value and the limit of quantification value of the designed sensor for GH were calculated as 8.38 ng/mL and 25.40 ng/mL, respectively. In short- and long-term stability studies of the developed LFA, it was observed that the test response remained stable even after 6 months. Besides, the quantitative analysis results of the developed LFA for detection of GH were compared to ELISA in buffer solution. The recovery values were found to be between 79.00 % and 109.34 % for the GH-LFA in buffer solution. Besides, GH-LFA was tested in human serum samples to demonstrate the feasibility of GH-LFA in complex matrices, and the recovery values were found to be between 79.76 % and 114.37 %. In addition, it was shown that GH-LFA is selective only for GH in the cross-reactivity tests. Results showed that the developed LFA can be used for quantitative detection of GH.</div></div>","PeriodicalId":435,"journal":{"name":"Talanta","volume":"298 ","pages":"Article 128827"},"PeriodicalIF":6.1,"publicationDate":"2025-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145047344","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}
TalantaPub Date : 2025-09-07DOI: 10.1016/j.talanta.2025.128817
José Felipe dos Santos, Jonatas de Oliveira S. Silva, Rodolfo M.M. Santana, Luiza A. Mercante
{"title":"All-nanofiber-based analytical device for colorimetric detection of hexavalent chromium in water samples","authors":"José Felipe dos Santos, Jonatas de Oliveira S. Silva, Rodolfo M.M. Santana, Luiza A. Mercante","doi":"10.1016/j.talanta.2025.128817","DOIUrl":"10.1016/j.talanta.2025.128817","url":null,"abstract":"<div><div>Paper-based analytical devices have emerged as a powerful alternative for colorimetric assays due to their portability, ease of handling, and global affordability. However, these devices may suffer from some issues, including inconsistent flow rates and low color uniformity. In this regard, replacing paper with nanofibrous membranes (NFMs) is a promising alternative, as the key properties of NFMs can be easily tuned while offering superior chemical resistance. To demonstrate the feasibility of this concept, we propose a novel, disposable, and leak-proof all-nanofiber-based analytical device (NAD) for the detection of Cr(VI). The device, consisting of a trilayer asymmetric NFM, was fabricated through the sequential layer-by-layer electrospinning of a polylactic acid (PLA) NFM as the hydrophobic layer, a PLA/poly(ethylene oxide) (PEO)@1,5-diphenylcarbazide (DPC) NFM as the reaction layer, and a PLA/PEO NFM as the sealing layer. The NAD was applied for Cr(VI) detection using digital image colorimetry. Three image capture devices were employed to evaluate the impact of image acquisition methods on the analytical response. Using the USB digital microscope, the NAD exhibited a linear response in the range of 12.5–100 μmol L<sup>−1</sup>, a limit of detection of 0.02 μmol L<sup>−1</sup> (1.0 μg L<sup>−1</sup>), and high selectivity against common ions present in water samples. The NAD was employed to analyze actual water samples, yielding recoveries ranging from 92.0 to 106 %. Moreover, the good adhesion between layers and homogeneous DPC distribution ensure excellent repeatability and reproducibility. These achievements highlight that using electrospinning to develop analytical devices represents an innovative solution for environmental monitoring.</div></div>","PeriodicalId":435,"journal":{"name":"Talanta","volume":"298 ","pages":"Article 128817"},"PeriodicalIF":6.1,"publicationDate":"2025-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145045530","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}
TalantaPub Date : 2025-09-07DOI: 10.1016/j.talanta.2025.128819
Qiujin Li , Jianing Ren , Kexin Feng , Jixian Gong , Zheng Li , Xiuming Liu , Jianfei Zhang
{"title":"An electrochemical sensor based on MXene-Au nanocomposites/Janus fiber membrane for sweat glucose detection via rapid unidirectional moisture transport collection","authors":"Qiujin Li , Jianing Ren , Kexin Feng , Jixian Gong , Zheng Li , Xiuming Liu , Jianfei Zhang","doi":"10.1016/j.talanta.2025.128819","DOIUrl":"10.1016/j.talanta.2025.128819","url":null,"abstract":"<div><div>Wearable glucose sensors have received widespread attention for their ability to provide real-time and continuous physiological information through non-invasive detection of glucose in sweat, which is significant to wellness assessment and management. However, there are still challenges of glucose catalysis and sweat sampling in developing efficient wearable glucose sensors. Here, we report a flexible wearable electrochemical sensor based on a Janus nanofiber membrane for efficient sweat collection and glucose detection. Leveraging the high reducing capability of MXene, gold nanoparticles (AuNPs) were synthesized in situ, and then functionalize the screen-printed carbon electrode (SPCE) substrate. The synergistic effect derived from the high specific surface area and superior redox activity of MXene-Au composites, as well as the efficient immobilization of glucose oxidase (GOx) make the sensor with high sensitivity and accuracy. A polyurethane/polyvinyl alcohol (PU/PVA) Janus fiber membrane, fabricated via electrospinning, served as a rapid unidirectional water transport component for active sweat collection. This electrochemical sensor exhibits a wide linear range encompassing the typical physiological glucose concentration profile in sweat, with a sensitivity of 0.33 μA μM<sup>−1</sup> cm<sup>−2</sup> and a detection limit of 13.0 μM. The sensor demonstrates excellent selectivity for glucose with good reproducibility and stability, suggesting significant promise for providing a new strategy towards non-invasive glucose monitoring.</div></div>","PeriodicalId":435,"journal":{"name":"Talanta","volume":"298 ","pages":"Article 128819"},"PeriodicalIF":6.1,"publicationDate":"2025-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145047342","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}
TalantaPub Date : 2025-09-07DOI: 10.1016/j.talanta.2025.128824
Hanbin Wu , Jiarui Shi , Long Zhang , Zhongxi Huang , Zhipeng Zhang , Xiang Che , Shiji Zhang , Lin Li , Changmin Yu
{"title":"Covalent assembly-based fluorescent probe for real-time monitoring hypochlorous acid levels in the occurrence and prognosis of rheumatoid arthritis in vivo","authors":"Hanbin Wu , Jiarui Shi , Long Zhang , Zhongxi Huang , Zhipeng Zhang , Xiang Che , Shiji Zhang , Lin Li , Changmin Yu","doi":"10.1016/j.talanta.2025.128824","DOIUrl":"10.1016/j.talanta.2025.128824","url":null,"abstract":"<div><div>Real-time monitoring the changes of hypochlorite (ClO<sup>−</sup>) levels is helpful for assessing the occurrence, development and prognosis of rheumatoid arthritis (RA). Herein, we rationally designed a small molecule fluorescent probe (<strong>HB–ClO</strong>) for continuously monitoring ClO<sup>−</sup> levels based on covalent assembly strategy. Through intramolecular covalent cascade reaction with ClO<sup>−</sup>, the probe <strong>HB-ClO</strong> achieved fluorescence turn-on with good selectivity, high sensitivity and low background interference. Furthermore, <strong>HB-ClO</strong> showed excellent properties capable of directly imaging endogenous/exogenous ClO<sup>−</sup> levels from live RAW264.7 cells and zebrafishes. Finally, in λ-carrageenan-induced RA mouse, <strong>HB-ClO</strong> successfully distinguished RA joints from healthy ones with long stable fluorescence, as well as evaluated the therapeutic effect. Therefore, this probe could potentially be developed into early diagnosis kit for future clinical applications.</div></div>","PeriodicalId":435,"journal":{"name":"Talanta","volume":"298 ","pages":"Article 128824"},"PeriodicalIF":6.1,"publicationDate":"2025-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145045532","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}
TalantaPub Date : 2025-09-07DOI: 10.1016/j.talanta.2025.128805
Carlos Gómez-Pertusa , Guillermo Grindlay , María José Vázquez García , María Adela Yáñez , Luis Gras
{"title":"Determination of nanoparticles in wastewaters by means spICP-MS after a separation/preconcentration treatment with nylon filters","authors":"Carlos Gómez-Pertusa , Guillermo Grindlay , María José Vázquez García , María Adela Yáñez , Luis Gras","doi":"10.1016/j.talanta.2025.128805","DOIUrl":"10.1016/j.talanta.2025.128805","url":null,"abstract":"<div><div>The increasing use of nanomaterials in industrial and commercial applications has raised concerns about their release into wastewater systems and the environment. However, detecting and quantifying these materials in such samples remains challenging due to their low concentrations and matrix complexity. In this study, a new analytical methodology that combines nylon membrane filtration, microwave-assisted extraction (MAE), and single particle inductively coupled plasma mass spectrometry (spICP-MS) for the selective determination of nanoparticles (NPs) in wastewater is proposed. Nylon membranes effectively retained nanoparticles (NPs) of different compositions (Au, Pt, ZrO<sub>2</sub>, and TiO<sub>2</sub>), sizes (20–150 nm), and surface coatings. This allowed for efficient separation of the NPs from the matrix and the dissolved analyte fraction. By carefully selecting MAE operating conditions (i.e., 0.01 M NaOH, 10min), NPs retained in the filters can be quantitatively recovered while preserving their original particle size distribution as well as providing an enrichment factor up to 10-fold depending on sample matrix characteristics and volume filtrated. The proposed method was validated using wastewater samples spiked with different NPs, showing quantitative recoveries in all cases. Importantly, the limits of detection for size and particle number concentration by spICP-MS were independent of the sample matrix. This confirms that the approach is robust and versatile enough to be applied to many different types of wastewaters.</div></div>","PeriodicalId":435,"journal":{"name":"Talanta","volume":"298 ","pages":"Article 128805"},"PeriodicalIF":6.1,"publicationDate":"2025-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145045539","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}
TalantaPub Date : 2025-09-06DOI: 10.1016/j.talanta.2025.128816
Nguyen Ngoc Nghia
{"title":"Microfluidic paper-based analytical devices for food spoilage detection: emerging trends and future directions","authors":"Nguyen Ngoc Nghia","doi":"10.1016/j.talanta.2025.128816","DOIUrl":"10.1016/j.talanta.2025.128816","url":null,"abstract":"<div><div>Food spoilage poses a global challenge with far-reaching consequences for public health, economic stability, and environmental sustainability. Conventional analytical methods for spoilage detection though accurate are often cost-prohibitive, labor-intensive, and unsuitable for real-time or field-based monitoring. Microfluidic paper-based analytical devices (μPADs) have emerged as a transformative technology offering rapid, portable, and cost-effective solutions for food quality assessment. This review critically examines the principles, fabrication methods, and detection mechanisms underlying μPADs, with a focus on their applications in monitoring spoilage-related biomarkers such as volatile nitrogenous compounds and biogenic amines. We highlight recent advances, including the integration of μPADs with different mechanisms such as colorimetry, fluorescence, wireless sensor, electrochemistry, electrochemiluminescence, and Surface-Enhanced Raman Spectroscopy (SERS). Furthermore, emerging trends such as nanotechnology, smartphone-enabled analysis, and machine learning-enhanced diagnostics are discussed in the context of real-time data acquisition and decision-making. Key limitations such as reproducibility, sensitivity, and regulatory barriers are addressed alongside prospective solutions. This comprehensive overview underscores the immense potential of μPADs to revolutionize food safety monitoring, particularly in decentralized and resource-limited environments.</div></div>","PeriodicalId":435,"journal":{"name":"Talanta","volume":"297 ","pages":"Article 128816"},"PeriodicalIF":6.1,"publicationDate":"2025-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145007693","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}
TalantaPub Date : 2025-09-06DOI: 10.1016/j.talanta.2025.128806
Tingsong Zhang , Ziyuan Liu , Guangran Bai , Haoyuan Ding , Zhangting Wang , Jingnan Yang , Dong Hu , Shangyong Zhao , Xun Gao , Yujia Dai
{"title":"Laser spectral enhancement and analysis based on blind-spot networks and Kolmogorov-Arnold networks","authors":"Tingsong Zhang , Ziyuan Liu , Guangran Bai , Haoyuan Ding , Zhangting Wang , Jingnan Yang , Dong Hu , Shangyong Zhao , Xun Gao , Yujia Dai","doi":"10.1016/j.talanta.2025.128806","DOIUrl":"10.1016/j.talanta.2025.128806","url":null,"abstract":"<div><div>Laser-induced breakdown spectroscopy (LIBS) has garnered significant attention in fields such as materials science and environmental monitoring, owing to its rapid, non-destructive, and multi-element detection capabilities. However, the widespread adoption of LIBS is hindered by two major limitations: spectral noise interference and limited accuracy in quantitative analysis. To address these challenges, we propose a self-supervised deep learning noise reduction framework (Blind-Spot Spectral Denoising Network—BSSDN) based on a Blind-Spot Networks, along with a quantitative analysis model leveraging the Kolmogorov–Arnold Networks (KANs) architecture, to significantly enhance the analytical performance of LIBS. BSSDN eliminates the need for clean reference data by employing a central-blind-spot convolutional mechanism combined with a dynamic masking strategy. It reduces the mean spectral relative standard deviation (RSD) from 73.8 % to 23.9 % across six certified stainless-steel reference materials (JZG201–JZG206B, 36 × 36 mm solid blocks, supplied by the Shanghai Institute of Metrology and Testing), while preserving 90 % of characteristic peaks and maintaining excellent intensity fidelity. For quantitative analysis, our model addresses the limitations of traditional Multi-Layer Perceptron (MLPs) through adaptive spline basis functions and localized weighting. It achieves a mean coefficient of determination (R<sup>2</sup>) of 0.978 for nine elements and reduces the root mean square error of prediction (RMSEP) by over 45 %. Systematic comparisons highlight the framework's superiority over conventional methods in noise suppression, signal fidelity, and prediction accuracy. This work establishes a robust framework for high-precision LIBS applications in industrial inspection and trace analysis, while pioneering a approach to intelligent spectral data processing using self-supervised learning.</div></div>","PeriodicalId":435,"journal":{"name":"Talanta","volume":"298 ","pages":"Article 128806"},"PeriodicalIF":6.1,"publicationDate":"2025-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145027571","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}