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{"title":"Paper-based electrochemical aptasensor using Ti₃C₂ MXene for sensitive detection of Mammaglobin-A biomarker.","authors":"Jaydeep Kanungo, Somya Sadaf, Dakshita Snud Sharma, Dharitri Rath, Chinmay Ghoroi","doi":"10.1016/j.talanta.2026.130421","DOIUrl":"10.1016/j.talanta.2026.130421","url":null,"abstract":"<p><p>Breast cancer is one of the most prevalent cancers worldwide and a leading cause of cancer-related mortality. However, early detection of the disease can significantly reduce the mortality rate of cancer patients. The current detection methods of breast cancer are expensive, time consuming, invasive and require professional assistance. To overcome these challenges, a minimally invasive low-cost paper-based point-of-care (POC) electrochemical sensing platform has been developed for early-stage detection of breast cancer. The proposed sensor is fabricated using a screen-printing technique, incorporating two-dimensional Ti₃C₂ (MXene) nanosheets onto the working electrode. These nanosheets provide enhanced electrochemical performance, enabling an exceptionally low limit of detection (LOD) ∼ 4 cells mL^-1) attributed to their high conductivity and large surface area. The electrode surface is further functionalized with specific aptamers, facilitating selective target recognition. The proof-of-concept study was validated using multiple cell lines, including A549 (lung cancer cells), NIH3T3 (fibroblast), and HEK293 (kidney cells), and MDA-MB-231(breast cancer cell line), to evaluate the specificity of the developed aptasensor. The sensing mechanism relies on the selective binding of aptamers to Mammaglobin A proteins expressed on circulating tumor cells (CTCs). This interaction induces conformational changes in the aptamer, resulting in measurable alterations in the electrochemical properties at the electrode interface. The conjugation of the biomarker with the aptamer upon aptamer-protein interaction, results in a change in current, which is sensed by cyclic voltammogram (CV). The resulting signal is used to plot a calibration curve for quantitative analysis. Further, these sensing experiments are validated using in vitro experiments with human blood serum as a proof of concept. Overall, the developed paper-based electrochemical POC device offers significant advantages, including affordability, ease of use, rapid response, and quantitative detection capability.</p>","PeriodicalId":435,"journal":{"name":"Talanta","volume":"312 Pt A","pages":"130421"},"PeriodicalIF":6.7,"publicationDate":"2027-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148710884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Large Pre-trained EEG Model for Electrical Status Epilepticus during Sleep Detection.","authors":"Yuxuan Li, Zhipeng He, Shishi Tang, Rui Yang, Jianping Man, Yi Zhou, Jiahao Zhu, Xinxin Peng, Yicong Liu, Ziyi Chen","doi":"10.1142/S0129065727500109","DOIUrl":"10.1142/S0129065727500109","url":null,"abstract":"<p><p>Electrical status epilepticus during sleep (ESES) is a severe but often underdiagnosed epileptic encephalopathy that can significantly impair cognitive development in children. Current diagnostic practices rely heavily on expert visual inspection of spike-and-slow-wave complexes in electroencephalogram (EEG) recordings. This process is time-consuming, labor-intensive, and subjective, often resulting in poor inter-rater agreement. To address these limitations, this paper introduces a novel ESES automatic detection framework based on a large pre-trained EEG model. The framework employs a pre-trained NeuroEncoder to extract temporal and frequency features from spike-and-slow-wave complexes, and uniquely incorporates a temporal and spatial embedding module to enhance the model's ability to recognize spatiotemporal patterns. By leveraging the multi-head attention mechanism of stacked Transformers, the framework further captures complex relationships and deep features. A symmetric label smoothing cross-entropy is introduced, which applies both forward and backward constraints to reduce overfitting to noisy labels and improve robustness to label noise and individual variability. The proposed framework can automatically quantify spike-and-slow-wave complexes and calculate the spike-wave index (SWI) for ESES diagnosis. Evaluation was conducted on EEG recordings from 35 patients using a leave-one-subject-out cross-subject strategy. The results demonstrate excellent performance, with an accuracy of 91.91%, sensitivity of 91.52%, and specificity of 92.37%. The high agreement between the model and expert annotation is confirmed by a Kappa coefficient of 0.8368 and Gwet's AC1 of 0.8394. The proposed method demonstrates superior generalization across subjects and outperforms existing approaches. The proposed framework provides an efficient and reliable tool for automatic ESES detection, supporting early intervention and improved clinical management for patients with ESES.</p>","PeriodicalId":94052,"journal":{"name":"International journal of neural systems","volume":" ","pages":"2750010"},"PeriodicalIF":6.4,"publicationDate":"2027-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148762154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing Epileptic Seizure Identification by Exploring Swin Transformer Integration within Conformer Architecture.","authors":"Rufeng Wen, Jian Lian","doi":"10.1142/S0129065727500079","DOIUrl":"10.1142/S0129065727500079","url":null,"abstract":"<p><p>This study proposes a novel enhancement to the Conformer architecture for epileptic seizure identification by replacing the standard Vision Transformer (ViT) with the Swin Transformer. The proposed Swin-Conformer model leverages the hierarchical patch merging and shifted-window self-attention mechanisms of the Swin Transformer to better capture both local electrophysiological patterns and long-range temporal dependencies in electroencephalogram (EEG) signals. To handle the significant class imbalance inherent in epileptic EEG data, a weighted focal loss function is employed during training. The model is evaluated on the CHB-MIT dataset through stratified 10-fold cross-validation and validated on the independent Bonn EEG dataset. Experimental results demonstrate that the proposed model achieves accuracy of 99.24%, specificity of 99.55%, and sensitivity of 98.47% on the segment-based evaluation, as well as an event-based sensitivity of 99.50%, outperforming the original Conformer and state-of-the-art baseline methods. Ablation studies confirm that the performance gains originate from the Swin Transformer's hierarchical multi-scale feature representation and efficient local-global attention mechanism. Statistical analysis confirms that the improvements are statistically significant ([Formula: see text]).</p>","PeriodicalId":94052,"journal":{"name":"International journal of neural systems","volume":" ","pages":"2750007"},"PeriodicalIF":6.4,"publicationDate":"2027-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148674882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to 'Intercalating of AIEgens into MoS₂ nanosheets to induce crystal phase transform for enhanced photothermal and photodynamic synergetic anti-tumor therapy' [Talanta, 271 (2024) 125677].","authors":"Jiaxin Li, Yanzhi Xing, Xuwei Chen","doi":"10.1016/j.talanta.2026.130634","DOIUrl":"10.1016/j.talanta.2026.130634","url":null,"abstract":"","PeriodicalId":435,"journal":{"name":"Talanta","volume":" ","pages":"130634"},"PeriodicalIF":6.7,"publicationDate":"2027-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149007641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Split aptamer-regulated AuNF nanozymes for colorimetric and electrochemical dual-readout kanamycin biosensing.","authors":"Hailiang Qin, Xinyan Guo, Yao Zhao, Meng Luo, Minqiao Feng, Haoqian Xue, Pengbo Zhang, Meilin Zhou, Na Wang, Shuxia Xu","doi":"10.1016/j.talanta.2026.130380","DOIUrl":"10.1016/j.talanta.2026.130380","url":null,"abstract":"<p><p>Kanamycin (Kana) residues released into aquatic environments due to its extensive use have raised increasing concerns because of their potential risks to ecosystems and human health. In this work, we report a label-free split aptamer-modified gold nanoflower (AuNF)-based aptasensing platform with colorimetric and electrochemical readouts for the determination of Kana in water. Two thiolated split aptamer fragments (SPA1 and SPA2) were immobilized on AuNFs through Au-S bonds. The flower-like AuNFs provided a high-surface-area scaffold for aptamer loading, while the DNA modification further enhanced the peroxidase-like activity of AuNFs toward TMB oxidation. In the presence of Kana, target-induced assembly of SPA1 and SPA2 promoted the aggregation of AuNFs, which inhibited their catalytic activity toward TMB oxidation, thereby reducing oxTMB formation and the resulting colorimetric and electrochemical signals. Based on this signal-off mechanism, the platform enabled quantitative detection of Kana with linear ranges of 100-3000 nM for colorimetry and 50-2000 nM for chronoamperometry, with limits of detection of 0.51 and 0.074 nM, respectively. The method also showed satisfactory selectivity, reproducibility, and storage stability. In spiked environmental water samples, recoveries ranged from 87.7% to 106.2% with relative standard deviations below 5.0%, and the electrochemical results were in acceptable agreement with those obtained by HPLC-MS. This study provides a simple and effective dual-readout aptasensing strategy for Kana determination in environmental water samples.</p>","PeriodicalId":435,"journal":{"name":"Talanta","volume":"312 Pt A","pages":"130380"},"PeriodicalIF":6.7,"publicationDate":"2027-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148710936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dual-modal immunoassay for prostate cancer-derived exosomes enabled by a black phosphorus/silver SERS substrate and Yb/Er co-doped NaGdF₄ UCL nanoprobes.","authors":"Yasheng Dai, Jie Yao, Shiyuan Wang, Changgan Lai, Jie Gong, Chenjie Gu, Tao Jiang, Kerong Wu","doi":"10.1016/j.talanta.2026.130403","DOIUrl":"10.1016/j.talanta.2026.130403","url":null,"abstract":"<p><p>Exosomes are regarded as cancer-associated biomarkers for early diagnosis and prognosis in clinical bioassays. Nevertheless, it remains a challenge to develop an approach that can achieve ultra-sensitive and quantitative detection of exosomes. Herein, an innovative dual-mode immunoassay dependent on surface-enhanced Raman scattering (SERS) and upconversion luminescence (UCL) was developed to detect prostate cancer-derived exosomes. A novel SERS-active immunosubstrate was constructed by combining black phosphorus (BP) with Ag nanoparticles, which exhibited an enhancement factor (EF) of about 3.69 × 10⁹, due to the synergistic electromagnetic and chemical effects. Meanwhile, an immunoprobe with stable and visually distinguishable UCL was developed based on Yb/Er co-doped NaGdF₄ nanoparticles with an intrinsic two-photon process. The specific capture of exosomes was achieved through antigen-antibody binding within the sandwich immunostructure, achieving limits of detection (LOD) as low as 93 and 172 particles/mL based on the dual-modal detection, respectively. Furthermore, the recognition of different derived exosomes was simply realized by visually observing the green fluorescence with different intensities, which paves the way for efficient preliminary identification of prostate cancer. Finally, the validation with clinical serum samples proved that the proposed approach holds significant promise for rapid cancer screening and diagnosis.</p>","PeriodicalId":435,"journal":{"name":"Talanta","volume":"312 Pt A","pages":"130403"},"PeriodicalIF":6.7,"publicationDate":"2027-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148700506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AuNP decorated-Ni-MOF nanosheet based cDNA sensor for detection of miRNA-128 in Alzheimer's disease.","authors":"Sonia Rani, Karthik Vinay Mahesh, Rajat Sandhir, Nirmal Prabhakar","doi":"10.1016/j.talanta.2026.130405","DOIUrl":"10.1016/j.talanta.2026.130405","url":null,"abstract":"<p><p>A cDNA sensor based on gold nanoparticles (Au) supported on nickel metal-organic framework nanosheets (MOF-NS) modified fluorine-tin oxide (FTO) glass electrode for the ultrasensitive and selective detection of miRNA-128 biomarker associated with the progression of Alzheimer's disease (AD) has been reported. The MOF-NS and Au nanoparticles were electrodeposited onto FTO electrode using chronoamperometry to immobilize 5'-biotinylated DNA (btn-cDNA) complementary to miRNA-128 by streptavidin-biotin interaction, generating the modified electrode (btn-cDNA/SV/Au/MOF-NS/FTO). The fabricated electrode was characterized using various surface characterization techniques, including FESEM, XPS, FTIR, and electrochemical methods. The fabricated electrode was then utilized for the selective detection of miRNA-128 using electrochemical impedance spectroscopy. The results indicated a linear response range of 1.0 × 10^-1 fM-1.0 × 10² nM with limit of detection of 0.017 fM, and sensitivity of 180.11 Ω fM^-1cm^-2. Moreover, the cDNA sensor showed satisfactory performance with real serum samples from AD patients and healthy individuals, as validated by real time-PCR technique with area under curve of 0.93 and a sensitivity of 90%, respectively, demonstrating the potential of present cDNA sensing approach in the biomedical field.</p>","PeriodicalId":435,"journal":{"name":"Talanta","volume":"312 Pt A","pages":"130405"},"PeriodicalIF":6.7,"publicationDate":"2027-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148700471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Dual Soft Attention Network for Automatic Sleep Staging via Single-Lead Electrocardiogram Signals.","authors":"Xuanhao Qi, Qinying Li, Hongze Liu, Yinlin Cheng, Bingo Wing-Kuen Ling, Zhensheng Hu","doi":"10.1142/S0129065727500110","DOIUrl":"10.1142/S0129065727500110","url":null,"abstract":"<p><p>Polysomnography (PSG) is the current gold standard for sleep monitoring; however, it is complex, burdensome, and costly. In contrast, commercial health monitoring devices, such as the Apple Watch, offer sleep scoring at a low cost over a few days. This paper proposes a dual-attention mechanism-based sleep staging method using single-lead electrocardiogram (ECG) signals, named SleepECGNet. The method extracts multi-scale features by employing convolutional kernels of different sizes, thereby capturing subtle details in the ECG signals. The model then integrates an SE module and a Luong attention-based encoder-decoder architecture to filter redundant information and dynamically focus on different sleep stages. Experiments were conducted using the HMC, MGH, and SHHS1 datasets for sleep staging tasks and the Apnea-ECG corpus was employed to execute transfer learning strategies directed at sleep apnea recognition. Comprehensive ablation experiments were conducted to verify the effectiveness of each component. Moreover, an analysis of sequence duration demonstrated that expanding the input timeframe directly improves classification outcomes.</p>","PeriodicalId":94052,"journal":{"name":"International journal of neural systems","volume":" ","pages":"2750011"},"PeriodicalIF":6.4,"publicationDate":"2027-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148914193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to \"Development of a novel selective extraction system for lithium and application to its secondary resources\" [Talanta, 2026, Article 130545].","authors":"Vatsal Trivedi, Sai Krishna Devulapally, R Shekhar, G Venkateswarlu","doi":"10.1016/j.talanta.2026.130658","DOIUrl":"10.1016/j.talanta.2026.130658","url":null,"abstract":"","PeriodicalId":435,"journal":{"name":"Talanta","volume":" ","pages":"130658"},"PeriodicalIF":6.7,"publicationDate":"2027-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149069015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Aza-Paternò-Büchi derivatization enables annotation of triacylglycerols by negative-ion-mode mass spectrometry at the double bond level.","authors":"Andrea Cerrato, Aldo Laganà, Carmela Maria Montone, Enrico Taglioni, Daniel Weissman, Anna Laura Capriotti","doi":"10.1016/j.talanta.2026.130396","DOIUrl":"10.1016/j.talanta.2026.130396","url":null,"abstract":"<p><p>Triacylglycerols (TGs) represent one of the most abundant lipid classes in biological and food matrices; however, their structural characterization by mass spectrometry remains challenging because conventional workflows often provide only sum composition information. In the present study, an aza-Paternò-Büchi (aPB) derivatization strategy based on 6-azauracil was optimized and applied for negative-ion-mode, isomer-resolved analysis of TGs by high-resolution mass spectrometry. Reaction conditions were systematically investigated through solvent optimization, mixture design modeling, and kinetic studies. Moreover, the ionization and fragmentation behavior of aPB-derivatized TGs was comprehensively investigated, revealing distinct fragmentation pathways associated with charge localization effects in neutral lipids. Application to complex matrices demonstrated the feasibility of the approach, providing direct access to TG regioisomer distributions in human plasma and vegetable seed oils. Overall, the proposed strategy enables untargeted and double-bond-resolved annotation of TGs in complex matrices while maintaining straightforward sample preparation and compatibility with routine lipidomics workflows. For the first time, negative-ion mode was employed for TG annotation, expanding the molecular information accessible in TG lipidomics and food analysis.</p>","PeriodicalId":435,"journal":{"name":"Talanta","volume":"312 Pt A","pages":"130396"},"PeriodicalIF":6.7,"publicationDate":"2027-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148710953","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}