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Ni T, Dong Z, Xi K, Lu Y, Chang K, Ge C, Liu D, Yang Z, Cai H, Zhu Y. Nitrogen-Doped Carbon Quantum Dots Activated Dandelion-Like Hierarchical WO 3 for Highly Sensitive and Selective MEMS Sensors in Diabetes Detection. ACS Sens 2025; 10:699-708. [PMID: 39365950 DOI: 10.1021/acssensors.4c01840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/06/2024]
Abstract
High sensitivity, low concentration, and excellent selectivity are pronounced primary challenges for semiconductor gas sensors to monitor acetone from exhaled breath. In this study, nitrogen-doped carbon quantum dots (N-CQDs) with high reactivity were used to activate dandelion-like hierarchical tungsten oxide (WO3) microspheres to construct an efficient and stable acetone gas sensor. Benefiting from the synergistic effect of both the abundant active sites provided by the unique dandelion-like hierarchical structure and the high reaction potential generated by the sensitization of the N-CQDs, the resulting 16 wt % N-CQDs/WO3 sensor shows an ultrahigh response value (Ra/Rg = 74@1 ppm acetone), low detection limit (0.05 ppm), outstanding selectivity, and reliable stability to acetone at the optimum working temperature of 210 °C. Noteworthy that the N-CQDs facilitate the carrier migration and intensify the reaction between acetone and WO3 during the sensing process. Considering the above advantages, N-CQDs as a sensitizer to achieve excellent gas-sensitive properties of WO3 are a promising new strategy for achieving accurate acetone detection in real time and facilitating the development of portable human-exhaled gas sensors.
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Affiliation(s)
- Tianjun Ni
- School of Pharmacy, Xinxiang Medical University, Xinxiang 453003, PR China
| | - Zhonghu Dong
- School of Pharmacy, Xinxiang Medical University, Xinxiang 453003, PR China
| | - Kejie Xi
- School of Pharmacy, Xinxiang Medical University, Xinxiang 453003, PR China
| | - Yijia Lu
- School of Pharmacy, Xinxiang Medical University, Xinxiang 453003, PR China
| | - Kaiwen Chang
- School of Basic Medical Science, Xinxiang Medical University, Xinxiang 453003, PR China
| | - Chunpo Ge
- School of Basic Medical Science, Xinxiang Medical University, Xinxiang 453003, PR China
| | - Dong Liu
- School of Public Health, Xinxiang Medical University, Xinxiang 453003, PR China
| | - Zhijun Yang
- School of Basic Medical Science, Xinxiang Medical University, Xinxiang 453003, PR China
| | - Haijie Cai
- Clinical Medical Center of Tissue Engineering and Regeneration, Third Affiliated Hospital of Xinxiang Medical University, Xinxiang Medical University, Xinxiang 453003, PR China
| | - Yongheng Zhu
- College of Food Science and Technology, Laboratory of Quality & Safety Risk Assessment for Aquatic Products on Storage and Preservation (Shanghai), International Research Center for Food and Health, Shanghai Ocean University, Shanghai 201306, PR China
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Feng B, Wang Z, Feng Y, Li P, Zhu Y, Deng Y, Wu L, Yue Q, Wei J. Single-Atom Au-Functionalized Mesoporous SnO 2 Nanospheres for Ultrasensitive Detection of Listeria monocytogenes Biomarker at Low Temperatures. ACS NANO 2024; 18:22888-22900. [PMID: 39149962 DOI: 10.1021/acsnano.4c03566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/17/2024]
Abstract
Semiconductor metal oxide gas sensors have been proven to be capable of detecting Listeria monocytogenes, one kind of foodborne bacteria, through monitoring the characteristic gaseous metabolic product 3-hydroxy-2-butanone. However, the detection still faces challenges because the sensors need to work at high temperatures and output limited gas sensing performance. The present study focuses on the design of single-atom Au-functionalized mesoporous SnO2 nanospheres for the sensitive detection of ppb-level 3-hydroxy-2-butanone at low temperatures (50 °C). The fabricated sensors exhibit high sensitivity (291.5 ppm-1), excellent selectivity, short response time (10 s), and ultralow detection limit (10 ppb). The gas sensors exhibit exceptional efficacy in distinguishing L. monocytogenes from other bacterial strains (e.g., Escherichia coli). Additionally, wireless detection of 3-hydroxy-2-butanone vapor is successfully achieved through microelectromechanical systems sensors, enabling real-time monitoring of the biomarker 3-hydroxy-2-butanone. The superior sensing performance is ascribed to the mesoporous framework with accessible active Au-O-Sn sites in the uniform sensing layer consisting of single-atom Au-modified mesoporous SnO2 nanospheres, and such a feature facilitates the gas diffusion, adsorption, and catalytic conversion of 3-hydroxy-2-butanone molecules in the sensing layer, resulting in excellent sensing signal output at relatively low temperature that is favorable for developing low-energy-consumption gas sensors.
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Affiliation(s)
- Bingxi Feng
- Institute of Analytical Chemistry and Instrument for Life Science, The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, P. R. China
| | - Zizheng Wang
- Institute of Analytical Chemistry and Instrument for Life Science, The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, P. R. China
| | - Youyou Feng
- Institute of Analytical Chemistry and Instrument for Life Science, The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, P. R. China
| | - Ping Li
- Institute of Analytical Chemistry and Instrument for Life Science, The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, P. R. China
| | - Yongheng Zhu
- College of Food Science and Technology, Laboratory of Quality & Safety Risk Assessment for Aquatic Products on Storage and Preservation (Shanghai), Ministry of Agriculture and Shanghai Engineering Research Center of Aquatic-Product Processing & Preservation, Shanghai Ocean University, Shanghai 201306, P. R. China
| | - Yonghui Deng
- Department of Chemistry, State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200433, P. R. China
| | - Limin Wu
- Institute of Energy and Materials Chemistry, Inner Mongolia University, 235 West University Street, Hohhot 010021, P. R. China
| | - Qin Yue
- Institute of Fundamental and Frontier Science, University of Electronic Science and Technology of China, Chengdu 610054, P. R. China
| | - Jing Wei
- Institute of Analytical Chemistry and Instrument for Life Science, The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, P. R. China
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Qu X, Li M, Mu H, Jin B, Song M, Zhang K, Wu Y, Li L, Yu Y. Facile Fabrication of Lilac-Like Multiple Self-Supporting WO 3 Nanoneedle Arrays with Cubic/Hexagonal Phase Junctions for Highly Sensitive Ethylene Glycol Gas Sensors. ACS Sens 2024; 9:3604-3615. [PMID: 39016238 DOI: 10.1021/acssensors.4c00600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/18/2024]
Abstract
Metal oxides with nanoarray structures have been demonstrated to be prospective materials for the design of gas sensors with high sensitivity. In this work, the WO3 nanoneedle array structures were synthesized by a one-step hydrothermal method and subsequent calcination. It was demonstrated that the calcination of the sample at 400 °C facilitated the construction of lilac-like multiple self-supporting WO3 arrays, with appropriate c/h-WO3 heterophase junction and highly oriented nanoneedles. Sensors with this structure exhibited the highest sensitivity (2305) to 100 ppm ethylene glycol at 160 °C and outstanding selectivity. The enhanced ethylene glycol gas sensing can be attributed to the abundant transport channels and active sites provided by this unique structure. In addition, the more oxygen adsorption caused by the heterophase junction and the aggregation of reaction medium induced by tip effect are both in favor of the improvement on the gas sensing performance.
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Affiliation(s)
- Xiaohan Qu
- College of Materials Science and Engineering, Shenyang University of Technology, Shenyang 110870, China
| | - Mingchun Li
- College of Materials Science and Engineering, Shenyang University of Technology, Shenyang 110870, China
| | - Hanlin Mu
- College of Materials Science and Engineering, Shenyang University of Technology, Shenyang 110870, China
| | - Bingbing Jin
- College of Materials Science and Engineering, Shenyang University of Technology, Shenyang 110870, China
| | - Minggao Song
- College of Materials Science and Engineering, Shenyang University of Technology, Shenyang 110870, China
| | - Kunlong Zhang
- College of Materials Science and Engineering, Shenyang University of Technology, Shenyang 110870, China
| | - Yusheng Wu
- College of Materials Science and Engineering, Shenyang University of Technology, Shenyang 110870, China
| | - Laishi Li
- College of Materials Science and Engineering, Shenyang University of Technology, Shenyang 110870, China
| | - Yan Yu
- College of Materials Science and Engineering, Shenyang University of Technology, Shenyang 110870, China
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Jin N, Jiang F, Yang F, Ding Y, Liao M, Li Y, Lin J. Multiplex nanozymatic biosensing of Salmonella on a finger-actuated microfluidic chip. LAB ON A CHIP 2024; 24:2712-2720. [PMID: 38655620 DOI: 10.1039/d4lc00291a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
A colorimetric biosensor was elaboratively designed for fast, sensitive and multiplex bacterial detection on a single microfluidic chip using immune magnetic nanobeads for specific bacterial separation, immune gold@platinum palladium nanoparticles for specific bacterial labeling, a finger-actuated mixer for efficient immunoreaction and two coaxial rotatable magnetic fields for magnetic nanobead capture (outer one) and magnet-actuated valve control (inner one). First, preloaded bacteria, nanobeads and nanozymes were mixed through a finger actuator to form nanobead-bacteria-nanozyme conjugates, which were captured by the outer magnetic field. After the inner magnetic field was rotated to successively wash the conjugates and push the H2O2-TMB substrate for resuspending these conjugates, colorless TMB was catalyzed into blue TMBox products, followed by color analysis using ImageJ software for bacterial determination. This simple biosensor enabled multiplex Salmonella detection as low as 9 CFU per sample in 45 min.
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Affiliation(s)
- Nana Jin
- Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing 100083, China.
| | - Fan Jiang
- Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing 100083, China.
| | - Fengzhen Yang
- Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing 100083, China.
| | - Ying Ding
- Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing 100083, China.
| | - Ming Liao
- College of Veterinary medicine, South China Agricultural University, Guangzhou 510642, China
| | - Yanbin Li
- Department of Biological and Agricultural Engineering, University of Arkansas, Fayetteville, AR 72701, USA
| | - Jianhan Lin
- Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing 100083, China.
- National Innovation Center for Digital Agricultural Products Circulation, China Agricultural University, Beijing 100083, China
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Li X, Wu Z, Song X, Li D, Liu J, Zhang J. WO 3 Nanoplates Decorated with Au and SnO 2 Nanoparticles for Real-Time Detection of Foodborne Pathogens. NANOMATERIALS (BASEL, SWITZERLAND) 2024; 14:719. [PMID: 38668213 PMCID: PMC11054436 DOI: 10.3390/nano14080719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Revised: 04/09/2024] [Accepted: 04/15/2024] [Indexed: 04/29/2024]
Abstract
Nowadays, metal oxide semiconductor gas sensors have diverse applications ranging from human health to smart agriculture with the development of Internet of Things (IoT) technologies. However, high operating temperatures and an unsatisfactory detection capability (high sensitivity, fast response/recovery speed, etc.) hinder their integration into the IoT. Herein, a ternary heterostructure was prepared by decorating WO3 nanoplates with Au and SnO2 nanoparticles through a facial photochemical deposition method. This was employed as a sensing material for 3-hydroxy-2-butanone (3H-2B), a biomarker of Listeria monocytogenes. These Au/SnO2-WO3 nanoplate-based sensors exhibited an excellent response (Ra/Rg = 662) to 25 ppm 3H-2B, which was 24 times higher than that of pure WO3 nanoplates at 140 °C. Moreover, the 3H-2B sensor showed an ultrafast response and recovery speed to 25 ppm 3H-2B as well as high selectivity. These excellent sensing performances could be attributed to the rich Au/SnO2-WO3 active interfaces and the excellent transport of carriers in nanoplates. Furthermore, a wireless portable gas sensor equipped with the Au/SnO2-WO3 nanoplates was assembled, which was tested using 3H-2B with known concentrations to study the possibilities of real-time gas monitoring in food quality and safety.
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Affiliation(s)
- Xueyan Li
- School of Materials Science and Engineering, Beijing Key Laboratory of Construction-Tailorable Advanced Functional Materials and Green Applications, Beijing Institute of Technology, Beijing 100081, China (J.Z.)
| | - Zeyi Wu
- School of Materials Science and Engineering, Beijing Key Laboratory of Construction-Tailorable Advanced Functional Materials and Green Applications, Beijing Institute of Technology, Beijing 100081, China (J.Z.)
| | - Xiangyu Song
- School of Materials Science and Engineering, Beijing Key Laboratory of Construction-Tailorable Advanced Functional Materials and Green Applications, Beijing Institute of Technology, Beijing 100081, China (J.Z.)
| | - Denghua Li
- Key Laboratory of Agricultural Information Service Technology of Ministry of Agriculture, Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Jiajia Liu
- School of Materials Science and Engineering, Beijing Key Laboratory of Construction-Tailorable Advanced Functional Materials and Green Applications, Beijing Institute of Technology, Beijing 100081, China (J.Z.)
| | - Jiatao Zhang
- School of Materials Science and Engineering, Beijing Key Laboratory of Construction-Tailorable Advanced Functional Materials and Green Applications, Beijing Institute of Technology, Beijing 100081, China (J.Z.)
- School of Chemistry and Chemical Engineering, MIIT Key Laboratory of Medical Molecule Science and Pharmaceutical Engineering, Beijing Institute of Technology, Beijing 100081, China
- MOE Key Laboratory of Cluster Science, Beijing Institute of Technology, Beijing 100081, China
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Li F, Zhou Y, Wang D, Ding Z, Chen L, Feng X. Oxygen Vacancy Engineering of FeO x toward Oxygen-Tolerant Hydrogen Peroxide Reduction for Reliable Bioassays. LANGMUIR : THE ACS JOURNAL OF SURFACES AND COLLOIDS 2024; 40:3241-3247. [PMID: 38289291 DOI: 10.1021/acs.langmuir.3c03748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/15/2024]
Abstract
The accurate determination of hydrogen peroxide (H2O2), an important clinical disease relevant biomarker, is of great importance for the diagnosis and management of illnesses. By using the cathodic monitoring approach, H2O2 can be accurately detected because interfering signals from easily oxidizable endogenous and exogenous species in biofluids can be avoided. However, the simultaneous occurrence of the oxygen reduction reaction (ORR) restricts the practical use of this cathodic method. In this study, via oxygen vacancy modulation, we synthesized FeOx catalysts that can selectively reduce H2O2 over O2. The H2O2 detection system based on this catalyst exhibits an outstanding ORR inhibition ability. Furthermore, by integrating this catalyst with glucose oxidase, a model enzyme, a reliable bioassay system was developed that can selectively detect glucose over a wide variety of interferents in artificially simulated tissue fluids. The bioassay system employing this catalyst in conjunction with oxidases is generally applicable to accurate detect a wide range of biomarkers.
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Affiliation(s)
- Fei Li
- College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou 215123, China
| | - Yifan Zhou
- College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou 215123, China
| | - Dandan Wang
- College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou 215123, China
| | - Zhenyao Ding
- College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou 215123, China
| | - Liping Chen
- College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou 215123, China
| | - Xinjian Feng
- College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou 215123, China
- School of Chemistry and Materials Science, University of Science and Technology of China, Hefei 230026, Anhui, China
- Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou 215123, China
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