1
|
Xiong L, Duan S, Wang W, Yao Y, Zhang H, Liu B, Lin W, Liu H, Wu J, Lu L, Zhang X. ZIF-8 functionalized S-tapered fiber-optic sensor for polystyrene nanoplastics detection by electrostatic adsorption. Talanta 2024; 275:126168. [PMID: 38678924 DOI: 10.1016/j.talanta.2024.126168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 04/11/2024] [Accepted: 04/25/2024] [Indexed: 05/01/2024]
Abstract
Microplastic (MP) residues in marine have become an increasingly serious environmental pollution issue, and in recent years the detection of MPs in marine started to attract worldwide research interests. Optical-fiber-based environmental sensors have been extensively employed for their several merits such as high sensitivity, pressure resistance, compactness and ease of constructing communication networks. However, fiber-optic refractive index sensors are not specifically developed for distinguishing MPs from other inorganic particles suspended in water. In this paper, an metal-organic framework (MOF) ZIF-8 functionalized S-tapered fiber (STF) sensor is proposed for specific detection of polystyrene nanoplastics (PSNPs) in aqueous environment. ZIF-8 coordination nanoporous polymers with different film thickness were immobilized over the surface of the fabricated STF structure based on self-growth technique and yielding a large surface area over the sensor surface. High sensitivity detection can be achieved by converting the concentration perturbation of PSNPs into evanescent waves over the ZIF-8 functionalized STF surface through the strong electrostatic adsorption effect and π-π stacking, while the fabricated sensor is insensitive to gravels with silica as the primary component in water. It is found that the proposed detector with 18 film layers achieves a sensitivity up to 114.1353nm/%(w/v) for the PSNPs concentration range of 0.01 %(w/v) to 0.08 %(w/v).
Collapse
Affiliation(s)
- Lingyi Xiong
- Institute of Modern Optics, Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network Technology, Nankai University, Tianjin, 300350, China
| | - Shaoxiang Duan
- Institute of Modern Optics, Tianjin Key Laboratory of Micro-scale Optical Information Science and Technology, Nankai University, Tianjin, 300350, China; Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai, 519000, China.
| | - Wenyu Wang
- Institute of Modern Optics, Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network Technology, Nankai University, Tianjin, 300350, China
| | - Yuan Yao
- Institute of Modern Optics, Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network Technology, Nankai University, Tianjin, 300350, China; Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai, 519000, China
| | - Hao Zhang
- Institute of Modern Optics, Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network Technology, Nankai University, Tianjin, 300350, China
| | - Bo Liu
- Institute of Modern Optics, Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network Technology, Nankai University, Tianjin, 300350, China; Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai, 519000, China
| | - Wei Lin
- Institute of Modern Optics, Tianjin Key Laboratory of Micro-scale Optical Information Science and Technology, Nankai University, Tianjin, 300350, China
| | - Haifeng Liu
- Institute of Modern Optics, Tianjin Key Laboratory of Micro-scale Optical Information Science and Technology, Nankai University, Tianjin, 300350, China
| | - Jixuan Wu
- Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems, School of Electronics and Information Engineering, Tiangong University, Tianjin, 300387, China
| | - Lan Lu
- Center for Policy & Project Research, Sansha, 570100, China
| | - Xu Zhang
- Institute of Modern Optics, Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network Technology, Nankai University, Tianjin, 300350, China
| |
Collapse
|
2
|
Gao D, Zhang A, Lyu B, Ma J. Visual and rapid fluorescence sensing for hexavalent chromium by hydroxypropyl chitosan passivated bismuth-based perovskite quantum dots. Mikrochim Acta 2024; 191:219. [PMID: 38530477 DOI: 10.1007/s00604-024-06251-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 02/05/2024] [Indexed: 03/28/2024]
Abstract
Hydroxypropyl chitosan-Cs3Bi2Cl9 perovskite quantum dots (HPCS-PQDs) were synthesized by a simple ligand-assisted reprecipitation method via green hydroxypropyl chitosan as the ligand and used as the specific signal of a fluorescence probe to achieve the highly sensitive detection of hexavalent chromium (Cr(VI)) and compared with chitosan-Cs3Bi2Cl9 QDs (CS-PQDs). HPCS-PQDs with multiple active hydroxyl passivations were found to enhance the photoluminescence quantum yield (PLQY) by 90%. After being placed in aqueous solution and irradiated with ultraviolet light for 96 h the fluorescence intensity of HPCS-PQDs remained above 60%. The blue emission of HPCS-PQDs has a good selectivity and short response time (30 s) for Cr(VI). A good linear relationship is established between the fluorescence quenching rate of the HPCS-PQDs and concentration of Cr(VI) from 0.8 to 400 µM, with a limit of detection (LOD) of 0.27 µM. The fluorescence quenching mechanism is the static quenching and internal filtration effect caused by HPCS-PQDs forming a non-fluorescent ground-state complex with Cr(VI). The sensor can not only be used to detect Cr(VI) in water samples with high accuracy but can also be prepared as a test paper for the detection for Cr(VI).
Collapse
Affiliation(s)
- Dangge Gao
- College of Bioresources Chemical and Materials Engineering, Shaanxi University of Science & Technology, Xi'an, 710021, Shaanxi, China.
- National Demonstration Center for Experimental Light Chemistry Engineering Education, Shaanxi University of Science & Technology, Xi'an, 710021, Shaanxi, China.
- Xi'an Key Laboratory of Green Chemicals and Functional Materials, Xi'an, 710021, Shaanxi, China.
| | - Ailin Zhang
- College of Bioresources Chemical and Materials Engineering, Shaanxi University of Science & Technology, Xi'an, 710021, Shaanxi, China
- National Demonstration Center for Experimental Light Chemistry Engineering Education, Shaanxi University of Science & Technology, Xi'an, 710021, Shaanxi, China
- Xi'an Key Laboratory of Green Chemicals and Functional Materials, Xi'an, 710021, Shaanxi, China
| | - Bin Lyu
- College of Bioresources Chemical and Materials Engineering, Shaanxi University of Science & Technology, Xi'an, 710021, Shaanxi, China.
- National Demonstration Center for Experimental Light Chemistry Engineering Education, Shaanxi University of Science & Technology, Xi'an, 710021, Shaanxi, China.
- Xi'an Key Laboratory of Green Chemicals and Functional Materials, Xi'an, 710021, Shaanxi, China.
| | - Jianzhong Ma
- College of Bioresources Chemical and Materials Engineering, Shaanxi University of Science & Technology, Xi'an, 710021, Shaanxi, China.
- National Demonstration Center for Experimental Light Chemistry Engineering Education, Shaanxi University of Science & Technology, Xi'an, 710021, Shaanxi, China.
- Xi'an Key Laboratory of Green Chemicals and Functional Materials, Xi'an, 710021, Shaanxi, China.
| |
Collapse
|
3
|
Wang J, Niu K, Hou J, Zhuang Z, Zhu J, Jing X, Wang N, Xia B, Lei L. Advanced Integration of Glutathione-Functionalized Optical Fiber SPR Sensor for Ultra-Sensitive Detection of Lead Ions. MATERIALS (BASEL, SWITZERLAND) 2023; 17:98. [PMID: 38203952 PMCID: PMC10780099 DOI: 10.3390/ma17010098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Revised: 12/21/2023] [Accepted: 12/22/2023] [Indexed: 01/12/2024]
Abstract
It is crucial to detect Pb2+ accurately and rapidly. This work proposes an ultra-sensitive optical fiber surface plasmon resonance (SPR) sensor functionalized with glutathione (GSH) for label-free detection of the ultra-low Pb2+ concentration, in which the refractive index (RI) sensitivity of the multimode-singlemode-multimode (MSM) hetero-core fiber is largely enhanced by the gold nanoparticles (AuNPs)/Au film coupling SPR effect. The GSH is modified on the fiber as the sensing probe to capture and identify Pb2+ specifically. Its working principle is that the Pb2+ chemically reacts with deprotonated carboxyl groups in GSH through ligand bonding, resulting in the formation of stable and specific chelates, inducing the variation of the local RI on the sensor surface, which in turn leads to the SPR wavelength shift in the transmission spectrum. Attributing to the AuNPs, both the Au substrates can be fully functionalized with the GSH molecules as the probes, which largely increases the number of active sites for Pb2+ trapping. Combined with the SPR effect, the sensor achieves a sensitivity of 2.32 × 1011 nm/M and a limit of detection (LOD) of 0.43 pM. It also demonstrates exceptional specificity, stability, and reproducibility, making it suitable for various applications in water pollution, biomedicine, and food safety.
Collapse
Affiliation(s)
- Jiale Wang
- National Engineering Research Center of Fiber Optic Sensing Technology and Networks, Wuhan University of Technology, Wuhan 430070, China; (J.W.); (K.N.); (J.H.); (Z.Z.); (J.Z.); (X.J.)
| | - Kunpeng Niu
- National Engineering Research Center of Fiber Optic Sensing Technology and Networks, Wuhan University of Technology, Wuhan 430070, China; (J.W.); (K.N.); (J.H.); (Z.Z.); (J.Z.); (X.J.)
| | - Jianguo Hou
- National Engineering Research Center of Fiber Optic Sensing Technology and Networks, Wuhan University of Technology, Wuhan 430070, China; (J.W.); (K.N.); (J.H.); (Z.Z.); (J.Z.); (X.J.)
| | - Ziyang Zhuang
- National Engineering Research Center of Fiber Optic Sensing Technology and Networks, Wuhan University of Technology, Wuhan 430070, China; (J.W.); (K.N.); (J.H.); (Z.Z.); (J.Z.); (X.J.)
| | - Jiayi Zhu
- National Engineering Research Center of Fiber Optic Sensing Technology and Networks, Wuhan University of Technology, Wuhan 430070, China; (J.W.); (K.N.); (J.H.); (Z.Z.); (J.Z.); (X.J.)
| | - Xinyue Jing
- National Engineering Research Center of Fiber Optic Sensing Technology and Networks, Wuhan University of Technology, Wuhan 430070, China; (J.W.); (K.N.); (J.H.); (Z.Z.); (J.Z.); (X.J.)
| | - Ning Wang
- National Engineering Research Center of Fiber Optic Sensing Technology and Networks, Wuhan University of Technology, Wuhan 430070, China; (J.W.); (K.N.); (J.H.); (Z.Z.); (J.Z.); (X.J.)
| | - Binyun Xia
- National Engineering Research Center of Fiber Optic Sensing Technology and Networks, Wuhan University of Technology, Wuhan 430070, China; (J.W.); (K.N.); (J.H.); (Z.Z.); (J.Z.); (X.J.)
| | - Lei Lei
- Zhongshan Institute of Modern Industrial Technology of SCUT, South China University of Technology, Zhongshan 528400, China;
| |
Collapse
|
4
|
Liu Z, Su J, Zhou K, Yu B, Lin Y, Li KH. Fully Integrated Patch Based on Lamellar Porous Film Assisted GaN Optopairs for Wireless Intelligent Respiratory Monitoring. NANO LETTERS 2023; 23:10674-10681. [PMID: 37712616 DOI: 10.1021/acs.nanolett.3c02071] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/16/2023]
Abstract
Respiratory pattern is one of the most crucial indicators for accessing human health, but there has been limited success in implementing fast-responsive, affordable, and miniaturized platforms with the capability for smart recognition. Herein, a fully integrated and flexible patch for wireless intelligent respiratory monitoring based on a lamellar porous film functionalized GaN optoelectronic chip with a desirable response to relative humidity (RH) variation is reported. The submillimeter-sized GaN device exhibits a high sensitivity of 13.2 nA/%RH at 2-70%RH and 61.5 nA/%RH at 70-90%RH, and a fast response/recovery time of 12.5 s/6 s. With the integration of a wireless data transmission module and the assistance of machine learning based on 1-D convolutional neural networks, seven breathing patterns are identified with an overall classification accuracy of >96%. This integrated and flexible on-mask sensing platform successfully demonstrates real-time and intelligent respiratory monitoring capability, showing great promise for practical healthcare applications.
Collapse
Affiliation(s)
- Zecong Liu
- School of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, P.R. China
| | - Junjie Su
- School of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, P.R. China
| | - Kemeng Zhou
- School of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, P.R. China
| | - Binlu Yu
- School of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, P.R. China
| | - Yuanjing Lin
- School of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, P.R. China
| | - Kwai Hei Li
- School of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, P.R. China
| |
Collapse
|