Talanta最新文献

{"title":"Chitosan-platinum nanozyme-mediated ratiometric fluorescent immunosensor with dual catalytic cascades for sensitive detection of fenitrothion.","authors":"Jie Liu, Hao Deng, Qing-Chun Yin, Min-Fu Wu, Lin Luo, Hong Wang, Zhen-Lin Xu, Bao-Zhu Jia","doi":"10.1016/j.talanta.2025.128162","DOIUrl":"https://doi.org/10.1016/j.talanta.2025.128162","url":null,"abstract":"<p><p>Organophosphorus pesticide residues pose significant threats to food safety and environmental health, and their monitoring methods demand sensitivity and anti-interference capability. In this study, we developed a novel ratiometric fluorescent immunosensor for fenitrothion (FN) detection by employing chitosan-modified platinum nanoparticles (Ch-Pt NPs) as catalytic nanozymes. Ch-Pt NPs exhibit oxidase-mimicking activity, enabling the oxidation of ascorbic acid (AA) and o-phenylenediamine (OPD) to produce dehydroascorbic acid (DHAA) and 2,3-diaminophenazine (DAP, Em = 568 nm), respectively. Then, DHAA further reacted with the remaining OPD to generate quinoxaline derivatives (DFQ, Em = 430 nm). These two products further form ratiometric fluorescent signals. Taking AA as a breakthrough point, the dual-catalytic cascade of natural enzymes and nanozymes was achieved by the combination with the alkaline phosphatase (ALP) -based enzyme-linked immunosorbent assay (ALP-ELISA). Compared with the conventional colorimetric ELISA, the proposed sensor demonstrated a nearly 20-fold enhancement in sensitivity (detection limit: 0.48 ng/mL) and achieved satisfactory recoveries of 80.0-108.3 % in spiked samples. The ratiometric fluorescent immunosensor demonstrates outstanding performance and holds great potential for extensive applications in the field of pesticide monitoring.</p>","PeriodicalId":435,"journal":{"name":"Talanta","volume":"293 ","pages":"128162"},"PeriodicalIF":5.6,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143954662","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":"An AIE fluorescence probe for ratiometric and selective detection of Sn²⁺ based on proton transfer.","authors":"Duo-Duo Hu, Guangnan Wei, Ping Yang, Dexin Fu, Kuiliang Li","doi":"10.1016/j.talanta.2025.128078","DOIUrl":"https://doi.org/10.1016/j.talanta.2025.128078","url":null,"abstract":"<p><p>Detecting Sn²⁺ heavy metal ions is crucial for mitigating water pollution and safeguarding human health. This study involved the design and synthesis of a novel fluorescence probe, RTPE-IM, which is a combination of an aggregation-induced emission luminophore (TPE) and rhodamine B. The probe undergoes proton transfer in the presence of Sn²⁺ ion, displaying high selectivity and a low detection limit of 0.121 μM. The synthesis and application of this molecule offer a potential strategy for preventing environmental health risks.</p>","PeriodicalId":435,"journal":{"name":"Talanta","volume":"293 ","pages":"128078"},"PeriodicalIF":5.6,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143956655","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-mode sensor innovation based on light-harvesting and nanozyme integrated Cu-MOF loaded Cu₂O label.","authors":"Man Xu, Zheng Wang, Yingzhuo Shen, Meijuan Zhao, Xiaoya Hu, Hongbo Li, Wei Liu, Qin Xu","doi":"10.1016/j.talanta.2025.128012","DOIUrl":"10.1016/j.talanta.2025.128012","url":null,"abstract":"<p><p>Integrating photoelectrochemical (PEC) and colorimetric dual-mode shed light on \"all-in-one\" sensing platform for high sensitivity, in situ visualization and self-validating measurement. Its attainment depends on the capabilities of light harvesting and colorimetric signal generation from bi-functional tags, which remains challenging. Herein, Cu-MOF loaded Cu₂O (Cu₂O@Cu-MOF) was deliberately prepared and employed as the PEC- colorimetric signal reporter with tail-made stable photo-current and peroxidase mimic activity. A thin layer of Zr-MOF was deliberately encapsulated onto Cu₂O@Cu-MOF for the immobilization of aptamer (Apt) which can be captured by the magnetic AuNPs/Fe₃O₄ nanoparticles through duplex-specific hybrid. In the presence of target analyte, PEC- colorimetric signal reporter was quantitatively released from the magnetic AuNPs/Fe₃O₄ after one-step convenient magnetic separation, facilitating photocurrent response by the photo-induced excitation and colorimetric response by catalyzing the oxidation of 3,3',5,5'-tetramethylbenzidine (TMB). In a proof-of-concept experiment, a customized PEC- colorimetric dual-mode sensor platform based on Cu₂O@Cu-MOF reporter has achieved an ultrasensitive response for bisphenol A (BPA), exhibiting sub-picomole (PEC signal) and sub-nanomole (colorimetric signal) detection limits, respectively. Our dual-mode sensor platform strategy aims to extend to high-sensitivity and visual analysis in fields of in vitro diagnosis, environmental monitoring, and food safety.</p>","PeriodicalId":435,"journal":{"name":"Talanta","volume":"292 ","pages":"128012"},"PeriodicalIF":5.6,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143741911","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":"Quantitative analysis of plastic blends based on virtual mid-infrared spectroscopy combined with chemometric methods.","authors":"Jian Yang, Yu-Peng Xu, Xiao-Li Chu","doi":"10.1016/j.talanta.2025.128006","DOIUrl":"10.1016/j.talanta.2025.128006","url":null,"abstract":"<p><p>Developing efficient and accurate quantitative analysis methods for plastic blends holds significant value for resource recycling and environmental monitoring. Mid-infrared (MIR) spectroscopy, combined with chemometric techniques, has demonstrated excellent performance in plastic blend quantification. However, obtaining mid-infrared spectral data for a large number of plastic blends to calibrate the model remains challenging. This study proposes an innovative approach that utilizes pure plastic MIR spectra and the Beer-Lambert law to generate virtual plastic blend spectra. Four experimental groups (A-D) were designed, incorporating both real and virtual spectra to systematically evaluate the method's effectiveness. Experiment group A established a baseline model using real spectra, while experiment groups B, C, and D respectively validated the applicability and generalization capability of models based on virtual spectra, as well as their potential applications in MIR hyperspectral imaging (MIR-HSI), respectively. The study further explores feature band selection, model construction, evaluation, and interpretation. The results demonstrate that this method can efficiently predict the mass percentages of components in ternary plastic blends. In experimental group C, partial least squares regression (PLSR), one-dimensional convolutional neural network (CNN1D), and two-dimensional convolutional neural network based on Gramian Angular Field (GAF-CNN2D) models-trained on 208 virtual plastic blend spectra-were employed to predict the mass percentages of 66 ternary plastic blends composed of polyethylene (PE), polypropylene (PP), and polystyrene (PS). The prediction coefficients of determination (R_T²) reached 0.9872, 0.9879, and 0.9944, respectively, indicating exceptional predictive accuracy. Experimental group D further demonstrated that, even under Gaussian noise interference and limited spectral range, the strategy of fusing mid-wave infrared and long-wave infrared bands allowed the PLSR and GAF-CNN2D models to maintain high performance in predicting the mass percentages of 66 ternary blends of PE, PP, and PS, with R_T² values of 0.9852 and 0.9895, respectively. This suggests that the proposed method holds potential for applications in MIR-HSI and is promising for real-time online analysis. Finally, this study proposes a more widely applicable and optimized quantitative analysis application scheme based on virtual plastic blend spectra, aiming to enable rapid and precise determination of unknown plastic blends.</p>","PeriodicalId":435,"journal":{"name":"Talanta","volume":"292 ","pages":"128006"},"PeriodicalIF":5.6,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143741921","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":"Imidazole-triggered in situ fluorescence reaction system for quantitatively determination of dopamine from multiple sources.","authors":"Yifei Ma, Lijie Zhang, Hong Yang, Shanshan Zhu, Jinhua Liu","doi":"10.1016/j.talanta.2025.127975","DOIUrl":"10.1016/j.talanta.2025.127975","url":null,"abstract":"<p><p>Highly selective and sensitive determination of dopamine (DA) from multiple sources remains a persistent and significant challenge. Here, we develop an imidazole-triggered in situ fluorescence reaction system for highly selective and sensitive determination of DA from various sources (human, horse, dog, rabbit, and mouse). The system operates by catalyzing the oxidation of DA with 1,5-Dihydroxynaphthalene (1,5-DHA) through a Lewis base formed by imidazole, leading to the rapid generation of yellow azamonardine fluorescent compounds (AFC). Notably, the system demonstrates minimal background noise and a high signal-to-noise ratio of up to 300-fold with a determination limit of 33.33 pM, making it 10-100 times more sensitive than conventional enzyme-linked immunosorbent assay (ELISA) methods. Moreover, selectivity tests reveal that our system can effectively distinguish between several common interfering substances, even at concentrations as low as 10 nM. The developed system shows promising results in detecting DA from diverse sources (humans, horses, dogs, rabbits, and mice), including urine samples from clinical patients, exhibiting good agreement with traditional ELISA kits. Therefore, the established in situ fluorescence reaction system holds great potential for the determination of DA-related disorders due to its impressive analytical capabilities.</p>","PeriodicalId":435,"journal":{"name":"Talanta","volume":"292 ","pages":"127975"},"PeriodicalIF":5.6,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143741914","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":"Monitoring variations in mitochondrial hydrogen sulfide using two-photon cyclometalated iridium(III) complex probe: A new strategy for ischemia-reperfusion drug discovery and efficacy evaluation.","authors":"Peng Du, Tianao Zhang, Ying Wu, Zongping Yu, Chaolong Liu","doi":"10.1016/j.talanta.2025.128021","DOIUrl":"10.1016/j.talanta.2025.128021","url":null,"abstract":"<p><p>Hepatic ischemia-reperfusion injury (HIRI) is one of the main causes of liver insufficiency and failure after liver surgery. However, the effectiveness of current methods of treating HIRI is generally limited. Previous studies have shown that hydrogen sulfide (H₂S) has a beneficial effect on HIRI, and an appropriate concentration of H₂S can significantly reduce HIRI by protecting the mitochondria. Therefore, establishing an accurate imaging platform for monitoring variations in mitochondrial H₂S is an effective strategy for anti-HIRI drug discovery and efficacy evaluation. To this end, a cyclometalated iridium(III) complex-based probe, Cym-Ir-EDB, was developed for detecting mitochondrial H₂S in HIRI. Cym-Ir-EDB possesses good sensitivity, high selectivity, negligible cytotoxicity, and excellent mitochondrial-targeting ability, rendering it a promising imaging tool for analyzing variations in mitochondrial H₂S in HIRI cells. Using Cym-Ir-EDB as a probe, anti-HIRI drugs were screened from isothiocyanates by monitoring variations in mitochondrial H₂S in HIRI cells, for the first time. Moreover, the dynamics of mitochondrial H₂S in HIRI cells were visualized and the response of HIRI to treatment with the screened erucin was monitored. The findings indicate that Cym-Ir-EDB can serve as a useful imaging platform for the precise imaging of mitochondrial H₂S in HIRI, thereby contributing to anti-HIRI drug discovery and efficacy evaluation.</p>","PeriodicalId":435,"journal":{"name":"Talanta","volume":"292 ","pages":"128021"},"PeriodicalIF":5.6,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143741917","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":"AIEgen-based metal-organic gels for rapid and ultrasensitive discrimination of piceatannol from core-isostructural analogues","authors":"Huifeng Xu ,&nbsp;Rui Pan ,&nbsp;Weihua Huang ,&nbsp;Shufei Huang ,&nbsp;Ronglin Chen ,&nbsp;Lili Wang ,&nbsp;Xiao Hu ,&nbsp;Lishuang Yu ,&nbsp;Qi Li ,&nbsp;Xi Zhu ,&nbsp;Xihai Li","doi":"10.1016/j.talanta.2025.128637","DOIUrl":"10.1016/j.talanta.2025.128637","url":null,"abstract":"<div><div>A highly stable and strongly fluorescent metal-organic gel, Zr-TCBPE-MOG, was successfully synthesized through the combination of aggregation-induced emission luminogens (AIEgens) 1, 1, 2, 2-tetra(4-carboxylbiphenyl) ethylene (H₄TCBPE) with Zr (IV) cations. The fluorescence of Zr-TCBPE-MOG exhibits a sensitive response to piceatannol (3,3′,4,5′-tetrahydroxy <em>trans</em>-stilbene, PCT), whereas its structural analogues, such as resveratrol, pterostilbene, rhapontigenin, and pinosylvin, which share the same core skeleton, have no effect on it. Therefore, Zr-TCBPE-MOG can function as a fluorescent probe for rapid differentiation and detection of PCT among these structural analogues. A simple and rapid fluorescence method was established via the selective fluorescence quenching effect of PCT on Zr-TCBPE-MOG through the photoinduced electron transfer effect. Under optimal measurement conditions, the proposed method achieves high sensitivity for PCT with a linear detection concentration range from 3.5 to 250 nM and a low detection limit of 2.8 nM. It also can realize selective determination of PCT in serum samples. This work reveals the great potential of MOG for the rapid and highly specific differentiation of structurally similar drugs.</div></div>","PeriodicalId":435,"journal":{"name":"Talanta","volume":"297 ","pages":"Article 128637"},"PeriodicalIF":5.6,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144711112","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":"Front Matter","authors":"","doi":"10.1016/S0039-9140(25)01107-5","DOIUrl":"10.1016/S0039-9140(25)01107-5","url":null,"abstract":"","PeriodicalId":435,"journal":{"name":"Talanta","volume":"295 ","pages":"Article 128617"},"PeriodicalIF":5.6,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144686073","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":"Extracting the SERS characteristic features of SARS-CoV-2 and using machine learning to quickly screen positive specimens among hospitalized patients","authors":"Jaya Sitjar ,&nbsp;Huey-Pin Tsai ,&nbsp;Han Lee ,&nbsp;Chun-Wei Chang ,&nbsp;Xin-Ni Wu ,&nbsp;Jiunn-Der Liao","doi":"10.1016/j.talanta.2025.128621","DOIUrl":"10.1016/j.talanta.2025.128621","url":null,"abstract":"<div><div>The emergence of widespread viral transmission has prompted further development of early diagnostic methods, especially in situations where rapid and accurate testing is urgently needed. Label-free surface enhanced Raman spectroscopy (SERS) specimen classification through analytical chemistry combined with machine learning (ML) was shown to address such issue. However, the complexity of clinical specimens limit the qualitative interpretation, posing a challenge to the fast screening of clinical specimens. SERS-active substrates consisting of Au NPs/pZrO2 or Au NPs/fZrO2 were used to screen for SARS CoV-2 BA.2 variant among hospitalized inpatients. Nasopharyngeal and throat swabs were used, and their SERS spectra were distinguished. Full SERS spectra were extracted to distinguish CoV (+) and CoV (−) specimens to investigate the differences between ML of full SERS spectra and that of extracted spectral features. Nasopharyngeal specimens have shown to provide identifiable distinct features. Au NPs/fZrO2 exhibited better signal detection than Au NPs/pZrO2 owing to the filtering capability of the fibers, retaining only the virus particles on the surface. Full SERS spectra as input data in ML resulted in a sensitivity and specificity of 60 %; on the other hand, when extracted spectral features were used, a sensitivity of 100 % was exhibited by both substrates and specificities of 43 % and 57 % with Au NPs/pZrO2 and Au NPs/fZrO2, respectively. This study can quickly screen CoV (+) inpatients but is limited by the complexity of spectral profile affected by comorbidities, the number and diversity of inpatient specimens, and the need to further distinguish spectral profiles of CoV (−).</div></div>","PeriodicalId":435,"journal":{"name":"Talanta","volume":"297 ","pages":"Article 128621"},"PeriodicalIF":5.6,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144703569","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":"Self-referenced ratiometric electrochemical biosensor based on covalent organic framework assembled MXene for stain-resistance and sensitive sensing of dopamine","authors":"Zeyun Yang,&nbsp;Hao Guo,&nbsp;Lei Sun,&nbsp;Zhiguo Yu,&nbsp;Wu Yang","doi":"10.1016/j.talanta.2025.128614","DOIUrl":"10.1016/j.talanta.2025.128614","url":null,"abstract":"<div><div>Dopamine (DA) is not only an important neurotransmitter involving in the regulation of life activities, but also a typical biomarker of neurodegenerative diseases. Accurate detection of DA content is of great significance for early diagnosis and treatment of related illness. Herein, a ratio electrochemical sensing platform was constructed based on covalent organic framework (COF) assembled MXene composite nanomaterials for sensitive, selective and accurate detection of DA. β-ketoenamine COF with high electrochemical activity can export a stable electrochemical signal during the sensing process, which provides the necessary conditions for the construction of ratio electrochemical biosensor. MXene, an emerging material with rich functional groups, as a carrier for in-situ growth of COF, effectively improves the material conductivity, and significantly amplifies the reference signal of COF and response signal of DA, simultaneously. It is the hydrogen bonds and van der Waals force between COF and the target molecule that achieve the selective response of the modified material to DA. Due to the synergistic effect between COF and MXene, the sensing platform (TFAQ COF@MXene/GCE) exhibited an excellent analytical performance towards DA with a wide linear range (0.05–800 μM) and low detection limit (0.0061 μM) as well as good stain-resistance and reproducibility and achieved precise analysis of DA in drug injection and human serum. This work provides a new and effective strategy for constructing COFs-based electrochemical sensors with self-calibration, strain-resistance and significant signal amplification.</div></div>","PeriodicalId":435,"journal":{"name":"Talanta","volume":"297 ","pages":"Article 128614"},"PeriodicalIF":5.6,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144694763","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}