Query：
学者姓名：翁祖铨
Refining：
Year
Type
Indexed by
Source
Complex
Former Name
Co-
Language
Clean All
Abstract ：
The persistence of T-2 toxin in food and feed matrices renders it a pervasive contaminant, impacting both human and animal health. Traditional detection methods suffer from cumbersome instrumentation and intricate procedures, rendering on-site detection of T-2 toxin unfeasible. Therefore, we have constructed a real-time detection method for T-2 toxin detection by employing a target-responsive DNA hydrogel in conjunction with potassium iodide starch test paper. This method integrates both colorimetric and distance-based signal outputs, offering a streamlined and effective approach for the on-site detection of T-2 toxin. The specific binding of the target to the aptamer in the DNA hydrogel results in the collapse of the hydrogels structure, which changes the viscosity of the system and released horseradish peroxidase in the hydrogel wrapped, and then produces blue-purple marks of different lengths on the starch iodide papers to achieve the specific detection of T-2 toxin. Under optimized conditions, the assay exhibits a detection range spanning from 10 ng/mL to 10 mg/mL for the toxin, with a detection limit of 12.83 ng/mL. The proposed method has been successfully applied for the detection of real corn samples with satisfied result. Such colorimetric-distance dual signal detection method offers notable advantages, including straightforward operation, clear signal interpretation, and practical utility. Its implementation enables rapid, on-the-spot detection of T-2 toxin, particularly beneficial in resource-limited regions and less developed countries.
Keyword ：
Point-of-care testing Point-of-care testing Starch iodide paper Starch iodide paper T-2 toxin T-2 toxin Target-responsive DNA hydrogel Target-responsive DNA hydrogel
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Deng, Ye , Lin, Jiarong , Wang, Jingxuan et al. Dual-signal point-of-care testing method for T-2 toxin utilizing target-responsive DNA hydrogel and starch iodide paper [J]. | MICROCHEMICAL JOURNAL , 2025 , 210 . |
| MLA | Deng, Ye et al. "Dual-signal point-of-care testing method for T-2 toxin utilizing target-responsive DNA hydrogel and starch iodide paper" . | MICROCHEMICAL JOURNAL 210 (2025) . |
| APA | Deng, Ye , Lin, Jiarong , Wang, Jingxuan , Lin, Yue , Luo, Fang , Weng, Zuquan et al. Dual-signal point-of-care testing method for T-2 toxin utilizing target-responsive DNA hydrogel and starch iodide paper . | MICROCHEMICAL JOURNAL , 2025 , 210 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
The intracellular delivery of protein drugs via nanocarriers offers significant potential for expanding their therapeutic applications. However, the unintended activation of innate immune responses and inflammation triggered by the carriers presents a major challenge, often compromising therapeutic efficacy. Here, we present oligoethylenimine-thioketal (OEI-TK), a reactive oxygen species-responsive cationic polymer with intrinsic anti-inflammatory properties, to overcome this challenge. OEI-TK self-assembles electrostatically with bovine serum albumin (BSA) to form stable nanoparticles (OTB NPs) with excellent encapsulation efficiency. In vitro studies confirmed that OTB NPs retained OEI-TK's antioxidant and anti-inflammatory properties, enhanced biocompatibility, and efficiently delivered BSA into cells. Furthermore, OEI-TK facilitated the intracellular delivery of beta-galactosidase while preserving its enzymatic activity, demonstrating its potential for functional protein transport. These findings highlight OEI-TK as a promising platform with dual benefits of inflammation modulation and intracellular protein delivery, holding potential for the synergistic treatment of inflammation-related diseases.
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Wang, Yongming , Ming, Yangcan , Yu, Zhichao et al. ROS-Responsive Cationic Polymers with Intrinsic Anti-Inflammatory Activity for Intracellular Protein Delivery [J]. | BIOMACROMOLECULES , 2025 , 26 (4) : 2268-2281 . |
| MLA | Wang, Yongming et al. "ROS-Responsive Cationic Polymers with Intrinsic Anti-Inflammatory Activity for Intracellular Protein Delivery" . | BIOMACROMOLECULES 26 . 4 (2025) : 2268-2281 . |
| APA | Wang, Yongming , Ming, Yangcan , Yu, Zhichao , Xu, Zhenjin , Zou, Minglang , Chen, Cuiping et al. ROS-Responsive Cationic Polymers with Intrinsic Anti-Inflammatory Activity for Intracellular Protein Delivery . | BIOMACROMOLECULES , 2025 , 26 (4) , 2268-2281 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
The rise of antibiotic-resistant bacteria poses a serious global health threat, highlighting the urgent need for novel strategies beyond conventional antibiotic therapies. This study explores the potential of microbe-imprinted polymers (MIPs) as innovative, pathogen-specific affinity agents. Utilizing microbial surface-initiated polymerization, MIPs are in-situ synthesized on the surface of target microbes, creating flexible heteropolymers that precisely replicate microbial surface structures. This method exhibits high affinity (KD = 2.7×108 CFU/mL for E. coli) and selectivity at the strain level. MIPs offer significant advantages over traditional antibodies, including greater stability, cost-effectiveness, and a broader spectrum of binding capabilities, making them effective for identifying and targeting various microbial strains, including unidentified or drug-resistant variants. Moreover, their favorable biocompatibility and functional resilience in diverse environments position MIPs as promising candidates for rapid pathogen detection and therapeutic applications. This research paves the way for advanced biomimetic materials in microbe-specific diagnostics and combating infections, addressing the critical need for effective tools in antibiotic resistance surveillance. © 2025
Keyword ：
Affinity Affinity Antibiotic resistance Antibiotic resistance Antibody mimics Antibody mimics Microbe-imprinted polymers Microbe-imprinted polymers Microbial recognition Microbial recognition
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Wu, Y. , Zhou, K. , Li, W. et al. Microbe-imprinted polymers for rapid drug-resistant bacteria recognition [J]. | Chemical Engineering Journal , 2025 , 512 . |
| MLA | Wu, Y. et al. "Microbe-imprinted polymers for rapid drug-resistant bacteria recognition" . | Chemical Engineering Journal 512 (2025) . |
| APA | Wu, Y. , Zhou, K. , Li, W. , Huan, M. , Yu, Z. , Yan, F. et al. Microbe-imprinted polymers for rapid drug-resistant bacteria recognition . | Chemical Engineering Journal , 2025 , 512 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
Dual-signal point-of-care testing (POCT) method relying on multicolor changes have demonstrated a promising improvement in performance. In this work, we have developed a highly sensitive and rapid POCT method for detecting aflatoxin B1 (AFB1), utilizing a dual-signal readout mode based on temperature and multicolor changes. A synthetic enzyme mimics, Al-Cu-Santa Barbara Amorphous material (Al-Cu-SBA), has been used to enable the dual-signal changes of gold nanobipyramids (Au NBPs) for the first time. Specifically, the aptamer was immobilized on magnetic beads, facilitating hybridization with complementary strands functionalized with Al-Cu-SBA and hence forming double-stranded DNA. Upon introducing AFB1 into the system, it bound to the aptamer chain, resulting in the release of Al-Cu-SBA into solution. The liberated Al-Cu-SBA was subsequently collected and used to oxidize 3, 3′, 5, 5′-tetramethylbenzidine (TMB). The oxidized TMB was used to etch Au NBPs, inducing significant color changes. Meanwhile, by leveraging the photothermal properties of Au NBPs, we observed a temperature difference generated upon exposure to infrared laser irradiation. This method exhibited a linear range from 0.5 μg·mL−1 to 100 μg·mL−1, with a detection limit of 0.167 μg·mL−1. The method's applicability was extended to successfully detect AFB1 in both peanut oil and milk samples. Given the application of enzyme mimics and the dual-signal readout integrating temperature and multicolor changes, our study successfully overcomes the limitations inherent in traditional biological enzyme-based methods and the conventional single-signal readout approach. Additionally, it surpasses the limitations associated with dual-signal readout systems that rely solely on monochromatic colorimetric analysis. © 2024 Elsevier B.V.
Keyword ：
Aluminum Aluminum Amorphous materials Amorphous materials Colorimetry Colorimetry Copper Copper Enzymes Enzymes Silica Silica
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Zheng, Zhenjie , Zhan, Linxiu , Wang, Liang et al. Aluminium-copper-mesoporous silica molecular sieve-enabled dual-signal point-of-care aptasensor with integrated temperature and multicolor readout [J]. | Sensors and Actuators B: Chemical , 2024 , 418 . |
| MLA | Zheng, Zhenjie et al. "Aluminium-copper-mesoporous silica molecular sieve-enabled dual-signal point-of-care aptasensor with integrated temperature and multicolor readout" . | Sensors and Actuators B: Chemical 418 (2024) . |
| APA | Zheng, Zhenjie , Zhan, Linxiu , Wang, Liang , Deng, Ye , Lin, Yue , Luo, Fang et al. Aluminium-copper-mesoporous silica molecular sieve-enabled dual-signal point-of-care aptasensor with integrated temperature and multicolor readout . | Sensors and Actuators B: Chemical , 2024 , 418 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
Herein, we present the development of an ultra-sensitive immobilization-free homogeneous electrochemiluminescence (ECL) biosensor, leveraging the electrostatic repulsion between a negatively charged indium tin oxide (ITO) electrode and DNA and exonuclease I (Exo I)-powered signal amplification, to achieve highly efficient detection of thrombin. Specifically, the aptamer and the complementary DNA engage in the formation of a double-stranded DNA (dsDNA) complex. This negatively charged dsDNA structure subsequently associates with a positively charged ECL indicator, namely ruthenium phenanthroline (Ru(phen)32+), resulting in the generation of the dsDNA-Ru(phen)32+ ECL probe. The negatively charged dsDNA-Ru(phen)32+ experiences electrostatic repulsion from the negatively charged ITO electrode, resulting in a low ECL signal. Nonetheless, upon the addition of thrombin, the aptamer preferentially binds to thrombin, triggering the releases of the embedded Ru (phen)32+ facilitated by Exo I and hence resulting in a robust and enhanced ECL signal. The amplified ECL signal is linearly correlated with the logarithm of thrombin concentration within a detection range spanning from 10 fmol/mL to 50 pmol/mL, with a remarkable detection limit of 3.21 fmol/mL. This strategy eliminates the need for cumbersome labeling steps, avoids the electrode modification process, overcoming the low immobilization efficiency of aptamers and poor signal transduction of indicators labeled at the end of DNA.
Keyword ：
Biomarker Biomarker Electrochemiluminescence biosensors Electrochemiluminescence biosensors Electrostatic force Electrostatic force exonuclease I exonuclease I Thrombin Thrombin
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Zheng, Zhenjie , Lin, Jiarong , Zhang, Junyi et al. Ultra-sensitive immobilization-free homogeneous electrochemiluminescence biosensor for thrombin detection via electrostatic interaction and Exo I-powered signal amplification [J]. | MICROCHEMICAL JOURNAL , 2024 , 207 . |
| MLA | Zheng, Zhenjie et al. "Ultra-sensitive immobilization-free homogeneous electrochemiluminescence biosensor for thrombin detection via electrostatic interaction and Exo I-powered signal amplification" . | MICROCHEMICAL JOURNAL 207 (2024) . |
| APA | Zheng, Zhenjie , Lin, Jiarong , Zhang, Junyi , Luo, Fang , Weng, Zuquan , Wang, Jian et al. Ultra-sensitive immobilization-free homogeneous electrochemiluminescence biosensor for thrombin detection via electrostatic interaction and Exo I-powered signal amplification . | MICROCHEMICAL JOURNAL , 2024 , 207 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
目的 建立一种高特异性人乳头瘤病毒(HPV)分型检测的荧光定量聚合酶链式反应方法.方法 设计针对23种HPV分型的特异性引物和小沟凹槽(MGB)探针,优化引物、探针序列及反应体系,利用中国食品药品检定研究院公布的第二代HPV全基因组分型国家参考品验证其有效性、灵敏度、精密度和交叉特异性,并将其应用于已确定亚型的患者宫颈脱落细胞筛查.结果 23种引物和探针均通过有效性、灵敏度、交叉特异性及精密度的检验,最低检出限达100拷贝/μL,变异系数≤3.18％.在114份临床样品的筛查中,100份为阳性,14份为阴性,均与已知结果相符.结论 本研究建立的分型检测体系能特异性检测23种HPV并对其进行基因分型,可作为一个候选的理想检测方法,为临床HPV感染诊断提供有效参考.
Keyword ：
人乳头瘤病毒 人乳头瘤病毒 小沟凹槽探针 小沟凹槽探针 荧光定量聚合酶链式反应 荧光定量聚合酶链式反应
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | 黄妍婷 , 刘继来 , 高廷芳 et al. 基于小沟凹槽探针特异性检测23种人乳头瘤病毒分型的研究 [J]. | 疾病监测 , 2024 , 39 (11) : 1477-1483 . |
| MLA | 黄妍婷 et al. "基于小沟凹槽探针特异性检测23种人乳头瘤病毒分型的研究" . | 疾病监测 39 . 11 (2024) : 1477-1483 . |
| APA | 黄妍婷 , 刘继来 , 高廷芳 , 许万里 , 柯文雅 , 何小镇 et al. 基于小沟凹槽探针特异性检测23种人乳头瘤病毒分型的研究 . | 疾病监测 , 2024 , 39 (11) , 1477-1483 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
A high‐efficiency PtZnCd nanozyme was screened with density functional theory (DFT) and unique d‐orbital coupling features for sensitive enrichment and real‐time analysis of CO‐releasing molecule‐3 (CORM‐3). Multicatalytic sites in the nanozyme showed a high reactivity of up to 72.89 min−1 for peroxidase (POD)‐like reaction, which was 2.2, 4.07, and 14.67 times higher than that of PtZn (32.67 min−1), PtCd (17.89 min−1), and Pt (4.97 min−1), respectively. Normalization of the catalytic sites showed that the catalytic capacity of the active site in PtZnCd was 2.962 U μmol−1, which was four times higher than that of a pure Pt site (0.733 U μmol−1). DFT calculations showed that improved d‐orbital coupling between different metals reduces the position of the center of the shifted whole d‐band relative to the Fermi energy level, thereby increasing the contribution of the sites to the electron transfer from the active center, accompanied by enhanced substrate adsorption and intermediate conversion in the catalytic process. The potential adsorption principle and color development mechanism of CORM‐3 on PtZnCd were determined, and its practical application in drug metabolism was validated in vitro and in zebrafish and mice models, demonstrating that transition‐metal doping effectively engineers high‐performance nanozymes and optimizes artificial enzymes.
Keyword ：
nanozymes nanozymes peroxidase-like activity peroxidase-like activity pharmacovigilance pharmacovigilance platinum catalysts platinum catalysts
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Zhichao Yu , Zhenjin Xu , Ruijin Zeng et al. D‐Band‐Center‐Engineered Platinum‐Based Nanozyme for Personalized Pharmacovigilance [J]. | Angewandte Chemie , 2024 , 137 (2) : n/a-n/a . |
| MLA | Zhichao Yu et al. "D‐Band‐Center‐Engineered Platinum‐Based Nanozyme for Personalized Pharmacovigilance" . | Angewandte Chemie 137 . 2 (2024) : n/a-n/a . |
| APA | Zhichao Yu , Zhenjin Xu , Ruijin Zeng , Man Xu , Haisu Zheng , Da Huang et al. D‐Band‐Center‐Engineered Platinum‐Based Nanozyme for Personalized Pharmacovigilance . | Angewandte Chemie , 2024 , 137 (2) , n/a-n/a . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
The increasing prevalence of antibiotic resistance in Cutibacterium acnes (C. acnes) requires the search for alternative therapeutic strategies. Antimicrobial peptides (AMPs) offer a promising avenue for the development of new treatments targeting C. acnes. In this study, to design peptides with the specific inhibitory activity against C. acnes, we employed a deep learning pipeline with generators and classifiers, using transfer learning and pretrained protein embeddings, trained on publicly available data. To enhance the training data specific to C. acnes inhibition, we constructed a phylogenetic tree. A panel of 42 novel generated linear peptides was then synthesized and experimentally evaluated for their antimicrobial selectivity and activity. Five of them demonstrated their high potency and selectivity against C. acnes with MIC of 2-4 mu g/mL. Our findings highlight the potential of these designed peptides as promising candidates for anti-acne therapeutics and demonstrate the power of computational approaches for the rational design of targeted antimicrobial peptides.
Keyword ：
Antimicrobial peptides Antimicrobial peptides Cutibacterium acnes Cutibacterium acnes Deep learning Deep learning Pretrained protein language embedding Pretrained protein language embedding Transfer learning Transfer learning
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Dong, Qichang , Wang, Shaohua , Miao, Ying et al. Novel antimicrobial peptides against Cutibacterium acnes designed by deep learning [J]. | SCIENTIFIC REPORTS , 2024 , 14 (1) . |
| MLA | Dong, Qichang et al. "Novel antimicrobial peptides against Cutibacterium acnes designed by deep learning" . | SCIENTIFIC REPORTS 14 . 1 (2024) . |
| APA | Dong, Qichang , Wang, Shaohua , Miao, Ying , Luo, Heng , Weng, Zuquan , Yu, Lun . Novel antimicrobial peptides against Cutibacterium acnes designed by deep learning . | SCIENTIFIC REPORTS , 2024 , 14 (1) . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
Hydrogel dressings capable of infection monitoring and precise treatment administration show promise for advanced wound care. Existing methods involve embedd ingorganic dyes or flexible electronics into preformed hydrogels, which raise safety issues and adaptability challenges. In this study, an injectable hydrogel based smart wound dressing is developed by integrating food-derived anthocyanidin as a visual pH probe for infection monitoring and poly(L-lactic acid) microcapsules as ultrasound-responsive delivery systems for antibiotics into a poly(ethylene glycol) hydrogel. This straightforwardly prepared hydrogel dressing maintains its favorable properties for wound repair, including porous morphology and excellent biocompatibility. In vitro experiments demonstrated that the hydrogel enabled visual assessment of pH within the range of 5 similar to 9.Meanwhile, the release of antibiotics could be triggered and controlled by ultrasound. In vivo evaluations using infected wounds and diabetic wounds revealed that the wound dressing effectively detected wound infection by monitoring pH levels and achieved antibacterial effects through ultrasound-triggered drug release. This led to significantly enhanced wound healing, as validated by histological analysis and the measurement of inflammatory cytokine levels. This injectable hydrogel-based smart wound dressing holds great potential for use in clinical settings to inform timely and precise clinical intervention and in community to improve wound care management. The study presents an injectable hydrogel dressing with flexibility to fit irregularly shaped wounds and excellent biocompatibility for visual monitoring of infection and on-demand treatment. It utilizes food-derived anthocyanidin as a pH probe and poly(L-lactic acid) microcapsules for ultrasound-responsive drug delivery. In diabetic wounds, the dressing detects infections through pH monitoring and enhances healing via ultrasound-triggered drug release.image
Keyword ：
chronic wounds chronic wounds hydrogels hydrogels on-demand treatment on-demand treatment pH detection pH detection ultrasound responsive ultrasound responsive wound monitoring wound monitoring
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Huang, Da , Du, Jiahao , Luo, Fang et al. Injectable Hydrogels with Integrated Ph Probes and Ultrasound-Responsive Microcapsules as Smart Wound Dressings for Visual Monitoring and On-Demand Treatment of Chronic Wounds [J]. | ADVANCED HEALTHCARE MATERIALS , 2024 , 13 (9) . |
| MLA | Huang, Da et al. "Injectable Hydrogels with Integrated Ph Probes and Ultrasound-Responsive Microcapsules as Smart Wound Dressings for Visual Monitoring and On-Demand Treatment of Chronic Wounds" . | ADVANCED HEALTHCARE MATERIALS 13 . 9 (2024) . |
| APA | Huang, Da , Du, Jiahao , Luo, Fang , He, Gang , Zou, Minglang , Wang, Yongming et al. Injectable Hydrogels with Integrated Ph Probes and Ultrasound-Responsive Microcapsules as Smart Wound Dressings for Visual Monitoring and On-Demand Treatment of Chronic Wounds . | ADVANCED HEALTHCARE MATERIALS , 2024 , 13 (9) . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
Unexpected drug-drug interactions (DDIs) are important issues for both pharmaceutical research and clinical applications due to the high risk of causing severe adverse drug reactions or drug withdrawals. Many deep learning models have achieved high performance in DDI prediction, but model interpretability to reveal the underlying causes of DDIs has not been extensively explored. Here we propose MeTDDI-a deep learning framework with local-global self-attention and co-attention to learn motif-based graphs for DDI prediction. MeTDDI achieved competitive performance compared with state-of-the-art models. Regarding interpretability, we conducted extensive assessments on 73 drugs with 13,786 DDIs and MeTDDI can precisely explain the structural mechanisms for 5,602 DDIs involving 58 drugs. Besides, MeTDDI shows potential to explain complex DDI mechanisms and mitigate DDI risks. To summarize, MeTDDI provides a new perspective on exploring DDI mechanisms, which will benefit both drug discovery and polypharmacy for safer therapies for patients. A transformer-based approach that predicts drug-drug interactions in polypharmacy has been shown, which also identifies perpetrator drugs and the chemical mechanisms causing the interactions. The method could facilitate high-throughput optimization of drug combinations and mitigate adverse drug-drug interaction risks.
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Zhong, Yi , Li, Gaozheng , Yang, Ji et al. Learning motif-based graphs for drug-drug interaction prediction via local-global self-attention [J]. | NATURE MACHINE INTELLIGENCE , 2024 , 6 (9) . |
| MLA | Zhong, Yi et al. "Learning motif-based graphs for drug-drug interaction prediction via local-global self-attention" . | NATURE MACHINE INTELLIGENCE 6 . 9 (2024) . |
| APA | Zhong, Yi , Li, Gaozheng , Yang, Ji , Zheng, Houbing , Yu, Yongqiang , Zhang, Jiheng et al. Learning motif-based graphs for drug-drug interaction prediction via local-global self-attention . | NATURE MACHINE INTELLIGENCE , 2024 , 6 (9) . |
| Export to | NoteExpress RIS BibTex |
Version ：
Export
| Results： |
Selected to |
| Format： |
