TalantaPub Date : 2025-10-01Epub Date: 2025-04-15DOI: 10.1016/j.talanta.2025.128162
Jie Liu, Hao Deng, Qing-Chun Yin, Min-Fu Wu, Lin Luo, Hong Wang, Zhen-Lin Xu, Bao-Zhu Jia
{"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}
TalantaPub Date : 2025-10-01Epub Date: 2025-04-11DOI: 10.1016/j.talanta.2025.128078
Duo-Duo Hu, Guangnan Wei, Ping Yang, Dexin Fu, Kuiliang Li
{"title":"An AIE fluorescence probe for ratiometric and selective detection of Sn<sup>2+</sup> 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 Sn<sup>2+</sup> 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 Sn<sup>2+</sup> 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 Cu<sub>2</sub>O 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 Cu<sub>2</sub>O (Cu<sub>2</sub>O@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 Cu<sub>2</sub>O@Cu-MOF for the immobilization of aptamer (Apt) which can be captured by the magnetic AuNPs/Fe<sub>3</sub>O<sub>4</sub> nanoparticles through duplex-specific hybrid. In the presence of target analyte, PEC- colorimetric signal reporter was quantitatively released from the magnetic AuNPs/Fe<sub>3</sub>O<sub>4</sub> 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 Cu<sub>2</sub>O@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}
TalantaPub Date : 2025-09-01Epub Date: 2025-03-24DOI: 10.1016/j.talanta.2025.128006
Jian Yang, Yu-Peng Xu, Xiao-Li Chu
{"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<sub>T</sub><sup>2</sup>) 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<sub>T</sub><sup>2</sup> 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}
TalantaPub Date : 2025-09-01Epub Date: 2025-03-20DOI: 10.1016/j.talanta.2025.127975
Yifei Ma, Lijie Zhang, Hong Yang, Shanshan Zhu, Jinhua Liu
{"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}
TalantaPub Date : 2025-09-01Epub Date: 2025-03-28DOI: 10.1016/j.talanta.2025.128021
Peng Du, Tianao Zhang, Ying Wu, Zongping Yu, Chaolong Liu
{"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 (H<sub>2</sub>S) has a beneficial effect on HIRI, and an appropriate concentration of H<sub>2</sub>S can significantly reduce HIRI by protecting the mitochondria. Therefore, establishing an accurate imaging platform for monitoring variations in mitochondrial H<sub>2</sub>S 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 H<sub>2</sub>S 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 H<sub>2</sub>S in HIRI cells. Using Cym-Ir-EDB as a probe, anti-HIRI drugs were screened from isothiocyanates by monitoring variations in mitochondrial H<sub>2</sub>S in HIRI cells, for the first time. Moreover, the dynamics of mitochondrial H<sub>2</sub>S 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 H<sub>2</sub>S 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}
Brain ResearchPub Date : 2025-08-15Epub Date: 2025-05-20DOI: 10.1016/j.brainres.2025.149683
Zhen-Xing Huang, Zhi-Min Kang, Guo-Jun Gu, Guang-Neng Peng, Liu Yun, Heng-Yi Tao, Wei-Gang Xu, Xue-Jun Sun, John H Zhang
{"title":"Expression of concern: \"Therapeutic effects of hyperbaric oxygen in a rat model of endothelin-1-induced focal cerebral ischemia\" [BRAIN RES, Volume 1153 (2007) 204-213].","authors":"Zhen-Xing Huang, Zhi-Min Kang, Guo-Jun Gu, Guang-Neng Peng, Liu Yun, Heng-Yi Tao, Wei-Gang Xu, Xue-Jun Sun, John H Zhang","doi":"10.1016/j.brainres.2025.149683","DOIUrl":"https://doi.org/10.1016/j.brainres.2025.149683","url":null,"abstract":"","PeriodicalId":9083,"journal":{"name":"Brain Research","volume":"1861 ","pages":"149683"},"PeriodicalIF":2.7,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144233130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}