{"title":"Performance Enhancement of MXene Derivatives-Coated Fiber Humidity Sensor via Intensity-correlated Twin Beams","authors":"Tenghui Mao, Hailong Wang, Jinghuan Fu, Cheng Peng, Dongxu Wang, Zhenhui Liu, Haofeng Fu, Feng Gao, Chunliu Zhao","doi":"10.1016/j.snb.2026.140073","DOIUrl":"https://doi.org/10.1016/j.snb.2026.140073","url":null,"abstract":"Here, we have theoretically proposed and experimentally demonstrated a sandwich-type (single-mode-no-core-single-mode, SNS) fiber-optic relative humidity sensor integrating a MXene derivatives coating and intensity-correlated twin beams, achieving high-sensitivity humidity sensing within a 30%-90% RH range by utilizing the unique quantum properties of the twin beams. This sensor utilizes the mechanism of water molecule adsorption-induced refractive index variation in the MXene derivatives coating, which modulates the constructive/destructive condition of multimode interference within the no-core fiber, thereby converting relative humidity variations into detectable optical signals. Furthermore, based on the aforementioned coating, intensity-correlated twin beams are introduced for the first time. In an unbalanced architecture, the system achieves a maximum signal-to-noise ratio enhancement of 0.831<!-- --> <!-- -->dB during humidity increase and 0.834<!-- --> <!-- -->dB during humidity decrease, corresponding to sensitivities of 0.3117<!-- --> <!-- -->dB/%RH and 0.3179<!-- --> <!-- -->dB/%RH, respectively, representing at least a 7.1-fold enhancement compared with classical single-channel humidity sensing. Moreover, in sealed-environment tests, the present sensor demonstrates a response time as fast as 1.56<!-- --> <!-- -->s and a recovery time of 0.78<!-- --> <!-- -->s. Its promising sensing performance offers a novel solution for applications such as medical diagnostics and industrial process control.","PeriodicalId":425,"journal":{"name":"Sensors and Actuators B: Chemical","volume":"49 1","pages":""},"PeriodicalIF":8.4,"publicationDate":"2026-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147756251","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":"Rapid Gluten Quantification by Aggregation-Driven Magnetophoretic Transduction Using Core–Satellite Magnetic Particles","authors":"Luca Livio Levorato, Daniele Marra, Loredana Biondi, Francesca Garofalo, Dickson Mwenda Kinyua, Adriano Acunzo, Raffaele Velotta, Vincenzo Iannotti, Bartolomeo Della Ventura","doi":"10.1016/j.snb.2026.140050","DOIUrl":"https://doi.org/10.1016/j.snb.2026.140050","url":null,"abstract":"Reliable detection of trace amounts of gluten in food products is essential to safeguard individuals affected by coeliac disease and other gluten-related disorders. However, standard immunoassays such as ELISA, while highly sensitive, are time-consuming, laboratory-bound, and not easily adaptable to rapid on-site screening. In this work, we present a magnetophoretic biosensor based on core–satellite magnetic particles (CSMPs), functionalised with anti-gliadin antibodies through a photochemical immobilisation strategy integrated into a 3D-printed microfluidic mixer. Upon antigen binding, CSMPs undergo aggregation, which enhances their magnetophoretic migration under an external magnetic field, producing a quantifiable change in optical transmittance. A custom 3D-printed cuvette holder incorporating a permanent magnet enables time-resolved measurements with a portable spectrophotometer. The analytical response, obtained from transmittance monitoring in under 30<!-- --> <!-- -->min, follows a sigmoidal dose–response curve with a limit of detection of 3<!-- --> <!-- -->mg<!-- --> <!-- -->kg<sup>-1</sup>, below the 20<!-- --> <!-- -->mg<!-- --> <!-- -->kg<sup>-1</sup> regulatory threshold defined for gluten-free labelling. Validation with both commercial and spiked food samples demonstrated strong agreement with the reference R5 ELISA method across diverse matrices, confirming analytical robustness and applicability to real samples. Owing to its rapidity, low cost, and minimal instrumentation requirements, the proposed system represents a promising tool for preliminary gluten screening and on-site quality control in food safety monitoring.","PeriodicalId":425,"journal":{"name":"Sensors and Actuators B: Chemical","volume":"71 1","pages":""},"PeriodicalIF":8.4,"publicationDate":"2026-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147756252","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}
Yu Peng, Wei Liu, Junjie Wang, Linlong Deng, Robert M. Strongin, Xiao-Feng Yang
{"title":"2-(N-Methylamino)benzoate-triggered tandem cyclization enables selective fluorescence imaging of lipid peroxyl radicals in doxorubicin‑induced cardiomyopathy","authors":"Yu Peng, Wei Liu, Junjie Wang, Linlong Deng, Robert M. Strongin, Xiao-Feng Yang","doi":"10.1016/j.snb.2026.140077","DOIUrl":"https://doi.org/10.1016/j.snb.2026.140077","url":null,"abstract":"Lipid peroxyl radicals (LOO•), the dominant radical present in the lipid peroxidation (LPO) process, can lead to the disruption of redox homeostasis and has been implicated in the pathogenesis of various diseases. Currently, several fluorescent probes for LOO• have been reported; however, most of them are prone to interference from other reactive oxygen species (ROS). To address this issue, we report herein a 2-(<em>N</em>-methylamino)benzoate-based trigger utilizing a tandem <em>N</em>-hydroxylation/cyclization reaction to achieve the fluorescence detection of LOO•. Based on this strategy, a near-infrared (NIR) fluorogenic probe (<strong>CB-MAB</strong>) for LOO• has been developed by using a coumarin-benzopyrylium (<strong>CB</strong>) hybrid fluorophore. Probe <strong>CB-MAB</strong> enables sensitive and selective detection of LOO• with minimal interference from other ROS. We further validated its capability to monitor endogenous LOO• generation in living cells and in vivo. Notably, probe <strong>CB-MAB</strong> has been utilized for imaging of endogenous LOO• generation in doxorubicin‑induced cardiomyopathy (DIC) in mice models, revealing that pathological development of DIC is closely associated with the activation of LPO. The present study provides a useful molecular tool for further investigating the functions and roles of LOO• in living systems.","PeriodicalId":425,"journal":{"name":"Sensors and Actuators B: Chemical","volume":"27 1","pages":""},"PeriodicalIF":8.4,"publicationDate":"2026-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147756253","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}
Shahin Faghiri, Mahdi Soleymanzadeh, Mohamad Ali Bijarchi, Mohammad Behshad Shafii
{"title":"On-demand magnetorheological fluid droplet formation under direct-current and pulse-width-modulated magnetic fields: An experimental investigation","authors":"Shahin Faghiri, Mahdi Soleymanzadeh, Mohamad Ali Bijarchi, Mohammad Behshad Shafii","doi":"10.1016/j.snb.2026.139979","DOIUrl":"https://doi.org/10.1016/j.snb.2026.139979","url":null,"abstract":"Droplet formation is a critical operation in microfluidics, biomedicine, and engineering applications. Magnetorheological fluids (MR) experience an increase in viscosity under a magnetic field due to the formation of chain-like structures. Applying a magnetic field to an MR fluid for droplet formation therefore enables controllable generation and turns the process into drop-on-demand (DOD). In this work, both a DC magnetic field and a Pulse-Width-Modulation (PWM) signal were used to realize a time-dependent magnetic field and a DOD droplet system. Under the DC magnetic field, the viscosity increase renders the fluid solid-like and no droplet forms at the nozzle. In contrast, with the PWM magnetic field, three droplet formation regimes were observed. In all PWM-driven cases in this droplet system, no satellite droplets were observed, which is a desirable outcome for clean and controlled generation. The effects of three key parameters on droplet formation time (droplet formation frequency) and droplet volume were investigated: the induced magnetic field frequency, the duty cycle, and the magnetic flux density. An optimal induced magnetic frequency of 6<!-- --> <!-- -->Hz was identified, and for each frequency an optimal duty cycle was observed that minimizes the formation time. At duty cycles close to the DC state and at high induced magnetic frequencies, the actuation approaches DC behavior and the system tends toward a no-droplet regime. Finally, a regime map based on induced magnetic frequency and duty cycle is presented, in which the Spherical droplet regime, Ellipsoidal droplet regime, and Needle-like elliptical regime are identified and analyzed in detail.","PeriodicalId":425,"journal":{"name":"Sensors and Actuators B: Chemical","volume":"16 1","pages":""},"PeriodicalIF":8.4,"publicationDate":"2026-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147725825","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}
Sungjun Choi, Jiseon Kim, Minseok Kim, Jeongwon Oh, Caroline Sunyong Lee
{"title":"Room-temperature operable Cu-doped ZnO/TiO2 film gas sensor integrated with electrochromic visualization for NO detection","authors":"Sungjun Choi, Jiseon Kim, Minseok Kim, Jeongwon Oh, Caroline Sunyong Lee","doi":"10.1016/j.snb.2026.139564","DOIUrl":"10.1016/j.snb.2026.139564","url":null,"abstract":"<div><div>In this study, a Cu-doped ZnO/TiO₂ film capable of detecting NO gas at room temperature of 25 ℃ was fabricated using a dry deposition process, the nanoparticle deposition system (NPDS). Cu-doped ZnO nanopowders were synthesized via the wet impregnation method and mixed with TiO₂ to improve their adhesion to the substrate. The fabricated Cu-doped ZnO/TiO₂ film exhibited responses of 19.60 % to 240 ppm NO gas and 6.91 % to 10 ppm NO gas at 25 ℃. Gas-sensing performances were compared with those of an undoped ZnO/TiO₂ film. The Cu-doped ZnO/TiO₂ film demonstrated 3.2 times higher response at 50 °C and 8.3 times higher response at 200 °C than the undoped film. Notably, while the undoped ZnO/TiO₂ film did not respond at 25 ℃, the Cu-doped ZnO/TiO₂ film maintained stable sensing capability under the same conditions. These results indicate that Cu doping induces electron redistribution near oxygen vacancy sites in ZnO, enhancing reactivity at 50 °C and enabling NO gas ionization even at 25 ℃, thus playing a critical role in ensuring stable operation at low temperatures. Furthermore, the room temperature-operable Cu-doped ZnO/TiO₂ sensor was integrated with a viologen-based electrochromic device controlled by an Arduino, enabling a visual gas-sensing system that displayed real-time color changes in response to gas exposure. In conclusion, Cu-doped ZnO nanopowders synthesized via wet impregnation were successfully deposited onto substrates using NPDS. Cu doping was found to be essential at 25 ℃ operation and improved sensing reactivity.</div></div>","PeriodicalId":425,"journal":{"name":"Sensors and Actuators B: Chemical","volume":"453 ","pages":"Article 139564"},"PeriodicalIF":3.7,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146075102","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}
Tao Wang , Nan Zhang , Hongjie Huang , Yunhe An , Yunyun Dai , Yongrui Li , Nan Yang , Chaojie Yang , Xinran Zhou , Yucheng Zhu , Yingshan Ma , Lingling Huang , Yongtian Wang , Yang Liu , Zhiyong Yan
{"title":"Magneto-photoelectrochemical 2D heterojunction platform for biosensing detection","authors":"Tao Wang , Nan Zhang , Hongjie Huang , Yunhe An , Yunyun Dai , Yongrui Li , Nan Yang , Chaojie Yang , Xinran Zhou , Yucheng Zhu , Yingshan Ma , Lingling Huang , Yongtian Wang , Yang Liu , Zhiyong Yan","doi":"10.1016/j.snb.2026.139478","DOIUrl":"10.1016/j.snb.2026.139478","url":null,"abstract":"<div><div>Photoelectrochemical (PEC) biosensors exhibit significant potential for biomolecule detection due to their high sensitivity and low background noise. However, their performance is severely constrained by the rapid recombination of photogenerated charge carriers. This study innovatively introduces a non-contact magnetic modulation strategy to suppress electron-hole recombination by manipulating carrier spin states, thereby significantly enhancing photoelectric conversion efficiency. Building on this mechanism, we developed a novel magnetically modulated PEC biosensing platform based on the MXenes/cobalt-doped titanium dioxide (Co-TiO<sub>2</sub>) heterostructure. This platform achieved ultrasensitive detection of protein kinase A (PKA) activity. Compared to an identical probe-modified biosensor without magnetic field application, the developed platform demonstrated a 68.75 % enhancement in detection sensitivity and achieved an ultralow limit of detection for PKA of 0.00016 U/mL in the linear range of 0.005–80 U/mL. This research not only provides a novel methodology for kinase activity analysis but also pioneers the innovative strategy of magnetic modulation for enhanced PEC sensing. It opens new avenues for developing high-performance biosensing platforms, holding significant promise for early disease diagnosis and drug screening applications.</div></div>","PeriodicalId":425,"journal":{"name":"Sensors and Actuators B: Chemical","volume":"453 ","pages":"Article 139478"},"PeriodicalIF":3.7,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145962779","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}
Xiaochi Ma , Yiming Zhang , Mingxuan Mao , Fanqi Meng , Lei Cao
{"title":"Interdigitated microwave resonator for highly sensitive detection of chemical liquids","authors":"Xiaochi Ma , Yiming Zhang , Mingxuan Mao , Fanqi Meng , Lei Cao","doi":"10.1016/j.snb.2026.139475","DOIUrl":"10.1016/j.snb.2026.139475","url":null,"abstract":"<div><div>Sensitive and multidimensional detection of trace liquid analytes remains a key challenge for compact, label-free sensor platforms. To address this, we present a planar microwave sensor operating at 6.37–7.53 GHz, based on an interdigitated electric split-ring resonator (ID-eSRR) integrated onto a microstrip transmission line. The interdigitated geometry enables strong field–matter coupling within only 3 <span><math><mi>μ</mi></math></span>L of analyte through enhanced electric-field confinement. Three sensor variants with different inter-finger gaps (W80, W100, W120) were fabricated via standard PCB processes to systematically investigate the geometry-dependent sensing performance governed by the effective mode volume and analyte–field overlap. Liquid-sensing experiments using four representative analytes—<em>n</em>-hexane, ethyl acetate, dichloromethane, and acetone—with relative permittivities from 2 to 20 revealed distinct and predictable resonance shifts. The W80 sensor exhibited the highest frequency sensitivity of 1.19 GHz/<span><math><msub><mrow><mi>ɛ</mi></mrow><mrow><mi>r</mi></mrow></msub></math></span> and amplitude sensitivity of 3.04 dB/<span><math><msub><mrow><mi>ɛ</mi></mrow><mrow><mi>r</mi></mrow></msub></math></span>, corresponding to relative sensitivities of 18.67%/<span><math><msub><mrow><mi>ɛ</mi></mrow><mrow><mi>r</mi></mrow></msub></math></span> and 7.81%/<span><math><msub><mrow><mi>ɛ</mi></mrow><mrow><mi>r</mi></mrow></msub></math></span>, respectively. These results demonstrate the scalability, reproducibility, and dual-channel capability of the ID-eSRR platform, offering a low-cost, PCB-compatible solution for chemical, environmental, and biomedical microwave sensing.</div></div>","PeriodicalId":425,"journal":{"name":"Sensors and Actuators B: Chemical","volume":"453 ","pages":"Article 139475"},"PeriodicalIF":3.7,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145968471","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 colorimetric-photothermal-fluorescent triple-mode nanozyme sensor array: Toward machine learning driven detection and recognition of β-lactam antibiotics","authors":"Yu Wang, Zemin Ren, Wen Zhang, Fufeng Liu, Wenjie Jing","doi":"10.1016/j.snb.2026.139536","DOIUrl":"10.1016/j.snb.2026.139536","url":null,"abstract":"<div><div><em>β</em>-lactam antibiotics (<em>β</em>-LAs) are widely used as anti-infective drugs, but their residues exert a serious risk to public health and the environment. Consequently, the development of simple and efficient methods for <em>β</em>-LAs detection is particularly important. Here, we found that <em>β</em>-LAs notably hinder the peroxidase-like (POD) activity of copper hydroxide nitrate (Cu<sub>2</sub>(OH)<sub>3</sub>NO<sub>3</sub>) nanozyme. Based on the unique physicochemical properties of the chromogenic substrate 3,3′,5,5′-tetramethylbenzidine (TMB), a colorimetric-photothermal-fluorescent triple-mode nanozyme array sensor was constructed and successfully used for the efficient detection and differentiation of eight <em>β</em>-LAs. Moreover, through the optimization of several machine learning (ML) algorithms, the accuracy of the concentration-independent classification model built on this array was enhanced from 57.29 % to 90.62 %, facilitating the recognition of blind samples. More notably, integrating sensor arrays with regression algorithms allows for accurate quantitative determination of various <em>β</em>-LAs. The research holds considerable importance for enhancing <em>β</em>-LAs recognition in complex matrices.</div></div>","PeriodicalId":425,"journal":{"name":"Sensors and Actuators B: Chemical","volume":"453 ","pages":"Article 139536"},"PeriodicalIF":3.7,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146033937","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":"Programmable dual-fluorescence DNA aptasensor using cascade amplification and sequence-engineered AgNCs for ultrasensitive detection of Clostridioides difficile RNase H2","authors":"Hu Zhang , Ying Zhao , Hui Meng , Xing Dong , Zhen Zhang , Jianxia Lv , Hongjun Zhao","doi":"10.1016/j.snb.2026.139533","DOIUrl":"10.1016/j.snb.2026.139533","url":null,"abstract":"<div><div>Rapid and accurate detection of Clostridioides difficile remains challenging due to the limited sensitivity, complex protocols, and costly instrumentation required by current diagnostic assays. Here, we present a label-free, enzyme-free dual-fluorescence aptasensor that integrates entropy-driven catalysis (EDC) and catalytic hairpin assembly (CHA) with DNA-templated silver nanoclusters (DNA-AgNCs) for the sensitive and reliable detection of RNase H2, a highly specific biomarker of C. difficile. Aptamers immobilized on magnetic beads selectively bind RNase H2 and release complementary primers that trigger a cascaded EDC-CHA amplification network. The amplified primers modulate the conformation of AgNC-templating hairpins, enabling sequence-directed tuning of AgNC emission. By tuning the nucleation sequence, Two AgNC emitters respond inversely: red fluorescence is enhanced while yellow emission is simultaneously quenched. This ratiometric dual-signal mechanism provides intrinsic self-correction against environmental fluctuations and significantly improves quantitative accuracy. Under optimized conditions, the sensor exhibits a broad linear detection range (0.01–100 ng/mL) and an ultralow detection limit of 9.27 pg/mL, along with high specificity and accurate recovery in river water samples. This sequence-programmable DNA–AgNC platform establishes a robust, cost-effective strategy for rapid pathogen diagnostics.</div></div>","PeriodicalId":425,"journal":{"name":"Sensors and Actuators B: Chemical","volume":"453 ","pages":"Article 139533"},"PeriodicalIF":3.7,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146014725","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}
Daan Vangerven , Julia Mazurków , Bart Simoens , Karolien De Wael
{"title":"From raw signals to reliable electrochemical sensing: Data preprocessing strategies for machine learning supported energetic compound identification","authors":"Daan Vangerven , Julia Mazurków , Bart Simoens , Karolien De Wael","doi":"10.1016/j.snb.2026.139542","DOIUrl":"10.1016/j.snb.2026.139542","url":null,"abstract":"<div><div>The widespread use of energetic compounds in armed conflicts, terrorism, and criminal activities highlights the need for rapid, accurate, and field-deployable detection and identification methods. Electrochemical sensing offers a promising solution, as many energetic compounds contain nitro groups that undergo electrochemical reduction, generating compound-specific electrochemical fingerprints. However, overlapping signals and concentration variability complicate robust identification. In this study, we present a Random Forest-based machine learning algorithm to identify ten nitro-containing energetic compounds and one binary mixture using square wave voltammetry. Voltammetric responses were collected over a concentration range of 50 – 200 µg/mL using bare in-house screen-printed electrodes. Six Random Forest models were developed based on different input data: (1) extracted peak parameters, (2) raw voltammetric data, and (3) Discrete Wavelet Transform (DWT)-processed data. Models trained on raw voltammetric and DWT-processed data using default hyperparameters achieved the highest overall classification accuracy in tests with samples representative for real-life scenarios. Confidence scores enabled quantitative evaluation of model predictions, with the raw voltammetric data model delivering the most confident outcomes. This study demonstrates a novel concentration-independent, machine learning-based electrochemical strategy for the accurate energetic compound identification in field applications.</div></div>","PeriodicalId":425,"journal":{"name":"Sensors and Actuators B: Chemical","volume":"453 ","pages":"Article 139542"},"PeriodicalIF":3.7,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146036176","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}