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Fu S, Zhu J, Jiang Z, Cao Y, Chen Y, Zhang L, Li S, Lu W, Miao C, He Q, Li Q, Zhang W, Ren L, Li Y, Shi H, Liu C. Colloidal crystals array enabled bionic biliary stent for efficient domestic biofluid management. Colloids Surf B Biointerfaces 2024; 234:113669. [PMID: 38039824 DOI: 10.1016/j.colsurfb.2023.113669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 11/18/2023] [Accepted: 11/22/2023] [Indexed: 12/03/2023]
Abstract
In vivo surgical interventions require effective management of biofluids, including controlling bleeding and removing excess biofluids such as bile, wound exudate, and blood. To address these issues, recent advances have emerged, such as self-sealing needles, drug-eluting stents, and shear-thinning hydrogels. However, complications associated with intestinal mucosal injury and secondary damage still persist. Therefore, a multifunctional stent is urgently required that can effectively remove excessive biofluid. Surface wettability of biliary stents is crucial in biofluid management, and conventional coatings can cause adhesion to wound tissue. To overcome this issue, we developed an interpenetrating Janus wettability stent coating, enabling unidirectional draining of excessive biofluid from its hydrophobic side to hydrophilic side, thereby preventing biofluid from wetting the wound. Furthermore, we demonstrate a directional biofluid movement using a self-pumping dressing in an infected tissue model, providing a new approach for in situ biofluid collection and disease diagnosis by detecting metal ion changes. Overall, our integrated system presents an opportunity to design wound dressings with effective biofluid management and metal ion detection capabilities.
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Affiliation(s)
- Sengwang Fu
- Department of Gastroenterology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jianping Zhu
- Department of Critical Care Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhijun Jiang
- Center for Future Optoelectronic Functional Materials, School of Computer and Electronic Information/School of Artificial Intelligence, Nanjing Normal University, Nanjing, China
| | - Yue Cao
- Center for Future Optoelectronic Functional Materials, School of Computer and Electronic Information/School of Artificial Intelligence, Nanjing Normal University, Nanjing, China
| | - Yufei Chen
- Center for Future Optoelectronic Functional Materials, School of Computer and Electronic Information/School of Artificial Intelligence, Nanjing Normal University, Nanjing, China
| | - Lihao Zhang
- Center for Future Optoelectronic Functional Materials, School of Computer and Electronic Information/School of Artificial Intelligence, Nanjing Normal University, Nanjing, China
| | - Sunlong Li
- Center for Future Optoelectronic Functional Materials, School of Computer and Electronic Information/School of Artificial Intelligence, Nanjing Normal University, Nanjing, China
| | - Weipeng Lu
- Center for Future Optoelectronic Functional Materials, School of Computer and Electronic Information/School of Artificial Intelligence, Nanjing Normal University, Nanjing, China
| | - Chengbin Miao
- Center for Future Optoelectronic Functional Materials, School of Computer and Electronic Information/School of Artificial Intelligence, Nanjing Normal University, Nanjing, China
| | - Qing He
- Center for Future Optoelectronic Functional Materials, School of Computer and Electronic Information/School of Artificial Intelligence, Nanjing Normal University, Nanjing, China
| | - Qi Li
- Center for Future Optoelectronic Functional Materials, School of Computer and Electronic Information/School of Artificial Intelligence, Nanjing Normal University, Nanjing, China
| | - Weixing Zhang
- Department of Critical Care Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lehao Ren
- Department of Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Yachun Li
- Department of Pediatrics, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Hongchao Shi
- Department of Critical Care Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Cihui Liu
- Center for Future Optoelectronic Functional Materials, School of Computer and Electronic Information/School of Artificial Intelligence, Nanjing Normal University, Nanjing, China.
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Shen G, Zhong L, Liu G, Yang L, Wen X, Chen G, Zhao J, Hou C, Wang X. Synthesis of rare-earth metal-organic frameworks to construct high-resolution sensing array for multiplex anions detection, cell imaging and blood phosphorus monitoring. J Colloid Interface Sci 2023; 652:1925-1936. [PMID: 37690300 DOI: 10.1016/j.jcis.2023.09.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 08/27/2023] [Accepted: 09/02/2023] [Indexed: 09/12/2023]
Abstract
Accurate detection and differentiation of multiple anions is still a difficult problem due to their wide variety, structural similarity, and mutual interference. Hence, four rare-earth metal-organic frameworks (RE-MOFs) including Dy-MOFs, Er-MOFs, Tb-MOFs and Y-MOFs are successfully prepared by using TCPP as the ligand and rare-earth ions as the metal center via coordination chelation. It is found that 7 anions can light up their fluorescence. Thus, a high-resolution sensing array based on RE-MOFs nanoprobes is employed to differentiate these anions from intricate analytes in real-time scenarios. The distinctive host-guest response promotes the RE-MOFs nanoprobes to selectively extract the target anions from the complex samples. By taking advantage of the cross-response between RE-MOFs nanoprobes and anions, it allows to create an array for detecting target analytes using pattern recognition. Additionally, RE-MOFs nanoprobes also facilitate the quantitative analysis of these anions (PO43-, H2PO4-, HPO42-, F-, S2-, CO32- and C2O42-). More importantly, the exceptional effectiveness of this method has been demonstrated through various successful applications, including quality monitoring of 8 toothpaste brands, intracellular phosphate imaging, and blood phosphorus detection in mice with vascular calcification. These findings provide robust evidence for the efficacy and reliability of the RE-MOFs nanoprobes array for anion recognition.
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Affiliation(s)
- Gongle Shen
- Wuxi School of Medicine, Jiangnan University, Wuxi 214122, PR China
| | - Linling Zhong
- Wuxi School of Medicine, Jiangnan University, Wuxi 214122, PR China
| | - Guizhu Liu
- Wuxi School of Medicine, Jiangnan University, Wuxi 214122, PR China
| | - Liu Yang
- Wuxi School of Medicine, Jiangnan University, Wuxi 214122, PR China
| | - Xin Wen
- Wuxi School of Medicine, Jiangnan University, Wuxi 214122, PR China
| | - Guanxi Chen
- Wuxi School of Medicine, Jiangnan University, Wuxi 214122, PR China
| | - Jiangqi Zhao
- College of Materials Science and Engineering, Sichuan University, Chengdu 610065, PR China
| | - Changjun Hou
- Key Laboratory for Biorheological Science and Technology of Ministry of Education, State and Local Joint Engineering Laboratory for Vascular Implants, Bioengineering College of Chongqing University, Chongqing 400044, PR China
| | - Xianfeng Wang
- Wuxi School of Medicine, Jiangnan University, Wuxi 214122, PR China; Key Laboratory for Biorheological Science and Technology of Ministry of Education, State and Local Joint Engineering Laboratory for Vascular Implants, Bioengineering College of Chongqing University, Chongqing 400044, PR China.
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Liu L, Zhang L, Liang Y. Visual sensing of multiple proteins based on three kinds of metal nanoparticles as sensor receptors. Colloids Surf B Biointerfaces 2021; 200:111574. [PMID: 33476955 DOI: 10.1016/j.colsurfb.2021.111574] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 12/18/2020] [Accepted: 01/08/2021] [Indexed: 12/28/2022]
Abstract
We propose a colorimetric sensing array consisting of 4-aminothiophenol (p-ATP)-modified gold nanoparticles (Au NPs), silver nanoparticles (Ag NPs), and core-shell Au@Ag nanocubes (Au@Ag NCs) as sensing elements to identify multiple proteins according to the diverse colorimetric response patterns. In the absence of proteins, the sensor element solution itself did not agglomerate. After interacting with six proteins (lysozyme (LZM), hemoglobin (HGB), peroxidase from horseradish (HRP), bovine liver from peroxidase (CAT), trypsin from bovin pancreas (TRY), and pepsin (PEP)), due to the different binding ability between the sensing elements and various proteins, the sensing array exhibits a unique pattern of colorimetric variations, linear discrimination analysis (LDA) was applied to analyze the pattern and produced a clustering map for a clearer differentiation of these proteins.
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Affiliation(s)
- Lei Liu
- School of Environment and Civil Engineering, Dongguan University of Technology, Dongguan, 523808, China
| | - Liguo Zhang
- School of Environment, South China Normal University, Guangdong Provincial Engineering Technology Research Center for Wastewater Management and Treatment, Guangzhou, 510006, China.
| | - Yong Liang
- School of Chemistry and Environment, South China Normal University, Guangzhou, 510631, China.
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