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Mi S, Xu C, Liu Q, Du Y, Yuan S, Yu H, Guo Y, Cheng Y, Xie Y, Yao W. Raman silent region - based method for detection of pesticides with cyano group. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 316:124326. [PMID: 38669978 DOI: 10.1016/j.saa.2024.124326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 04/03/2024] [Accepted: 04/21/2024] [Indexed: 04/28/2024]
Abstract
Based on the fact that not all chemical substances possess good Raman signals, this article focuses on the Raman silent region signals of pesticides with cyano group. Under the optimized conditions of methanol-water (1:1, v/v) as the solvent, irradiation at 302 nm light source for 20 min, and the use of 0.5 mol/L KI as the aggregating agent, Surface-enhanced Raman spectroscopy (SERS) method for azoxystrobin detection was developed by the Raman silent region signal of 2230 cm-1, and verified by detecting the spiked grapes with different concentrations of azoxystrobin. Other four pesticides with cyano group also could be identified at the peak of 2180 cm-1, 2205 cm-1, 2125 cm-1, and 2130 cm-1 for acetamiprid, phoxim, thiacloprid and cymoxanil, respectively. When azoxystrobin or acetamiprid was mixed respectively with chlorpyrifos without cyano group, their SERS signals in the Raman silent region of chlorpyrifos were not interfered, while mixed with cymoxanil in different ratios (1:4, 1:1 and 4:1), respectively, each two pesticides with cyano group could be distinguished by the changes in the Raman silent region. In further, four pesticides with or without cyano group were mixed together in 1:1:1:1 (acetamiprid, cymoxanil, azoxystrobin chlorpyrifos), and each pesticide still could be identified even at 0.5 mg/L. The results showed that the SERS method combined with UV irradiation may provide a new way to monitor the pesticides with C≡N performance in the Raman silent region without interference from the food matrix.
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Affiliation(s)
- Shuna Mi
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, Jiangsu Province, China; School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu Province, China; Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, China
| | - Chang Xu
- China Academy of Launch Vehicle Technology, Beijing, China
| | - Qingrun Liu
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, Jiangsu Province, China; School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu Province, China; Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, China
| | - Yuhang Du
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, Jiangsu Province, China; School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu Province, China; Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, China
| | - Shaofeng Yuan
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, Jiangsu Province, China; School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu Province, China; Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, China
| | - Hang Yu
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, Jiangsu Province, China; School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu Province, China; Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, China
| | - Yahui Guo
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, Jiangsu Province, China; School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu Province, China; Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, China
| | - Yuliang Cheng
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, Jiangsu Province, China; School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu Province, China; Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, China
| | - Yunfei Xie
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, Jiangsu Province, China; School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu Province, China; Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, China
| | - Weirong Yao
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, Jiangsu Province, China; School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu Province, China; Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, China.
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Xu Q, Ding N, Ma D, Lin H, Lin B, Ma X, Yang J, Guo L. Portable Hadamard-Transform Raman Spectrometer: A Powerful Analytical Tool for Point-of-Care Testing. Anal Chem 2024. [PMID: 39017607 DOI: 10.1021/acs.analchem.3c05702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/18/2024]
Abstract
A portable Hadamard-transform Raman spectrometer with excellent performance was fabricated consisting of a 785 nm laser, an optical filter, an optical system, a control system, and a signal processing system. As the core of the spectrometer, the optical system was composed of a slit, collimator, optical grating, reflector, digital micromirror devices (DMD), lens system, and InGaAs photodetector. Compared with a conventional dispersive Raman spectrometer, the proposed Raman spectrometer adopted the DMD and corresponding controlling device (DLPC350 control chip) to collect the Raman spectrum. Thus, in our design, the gratings are fixed, while the full Raman spectrum was collected by the deflection of the micromirror. This design can greatly improve the vibration resistance ability of the spectrometer since the gratings are not rotating during the spectrum collecting. More importantly, Hadamard-transform was used as signal processing technology, which has the ability of faster calculation, the merits of high energy input, single detector multichannel simultaneous detection (imaging) ability, and high signal-to-noise ratio (SNR). Hence, the Hadamard-transform portable Raman spectrometer has the potential to be applied in the field of point-of-care testing (POCT).
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Affiliation(s)
- Qing Xu
- Jiaxing Key Laboratory of Molecular Recognition and Sensing; College of Biological, Chemical Sciences and Engineering, Jiaxing University, Jiaxing 314001, PR China
| | - Ning Ding
- Jiaxing Key Laboratory of Molecular Recognition and Sensing; College of Biological, Chemical Sciences and Engineering, Jiaxing University, Jiaxing 314001, PR China
| | - Dan Ma
- Jiaxing Key Laboratory of Molecular Recognition and Sensing; College of Biological, Chemical Sciences and Engineering, Jiaxing University, Jiaxing 314001, PR China
| | - HongJian Lin
- Jiaxing Key Laboratory of Molecular Recognition and Sensing; College of Biological, Chemical Sciences and Engineering, Jiaxing University, Jiaxing 314001, PR China
| | - Bingyong Lin
- Jiaxing Key Laboratory of Molecular Recognition and Sensing; College of Biological, Chemical Sciences and Engineering, Jiaxing University, Jiaxing 314001, PR China
| | - Xiaoming Ma
- School of Chemistry and Chemical Engineering, Gannan Normal University, Ganzhou 341000, PR China
| | - Jie Yang
- Zhejiang Puchuang Instrument Co., LTD, Jiaxing 314033, PR China
| | - Longhua Guo
- Jiaxing Key Laboratory of Molecular Recognition and Sensing; College of Biological, Chemical Sciences and Engineering, Jiaxing University, Jiaxing 314001, PR China
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Fang L, Li J, Lin W, Zeng L, Yu L, Chen Z, Shen J, Chen Y, Chen Z, Lin Z. One-Step Synthesis of Chitosan Hydrogel as Electrochemical Chemosensor for Hydrogen Sulfide Detection in Pregnancy-Induced Hypertension Syndrome Serum Sample. ChemistryOpen 2024:e202400107. [PMID: 38837681 DOI: 10.1002/open.202400107] [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: 03/31/2024] [Revised: 05/02/2024] [Indexed: 06/07/2024] Open
Abstract
Oxidative stress caused by pregnancy-induced hypertension syndrome significantly affects the health of pregnant women. Hydrogen sulfide is a typical gaseous signal molecule against oxidative stress, and it is of profound significance to develop a detection method. In this study, a stimuli-responsive hydrogel was constructed based on the coordination and bonding principle of metal ions and chitosan (CS) to realize the quantitative detection of hydrogen sulfide (H2S). The chain of CS contains a large number of amino groups and hydroxyl groups, which can form the coordination structure with Cu2+, triggering CS to form a stable hydrogel. The hydrogel can be formed within about 5 s, which has the characteristics of rapid preparation. In the presence of target H2S, the cross-linking agent Cu2+ in the hydrogel can compete out, resulting in the collapse of the hydrogel and the release of the electrochemical probe. By detecting the concentration of the released electrochemical probe, the quantitative detection of H2S can be achieved. The prepared hydrogel has a good linear relationship with the concentration of H2S from 1 μM to 60 μm. At the same time, the hydrogel has good specificity and stability, and it can be applied to the detection of H2S in serum samples.
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Affiliation(s)
- Lishan Fang
- Department of obstetrics, Affiliated Hospital of Putian University, Putian University, Putian, 351100, China
| | - Jinqiu Li
- Central laboratory, Affiliated Hospital of Putian University, Putian University, Putian, 351100, China
| | - Wei Lin
- Central laboratory, Affiliated Hospital of Putian University, Putian University, Putian, 351100, China
| | - Lili Zeng
- Department of rehabilitation medicine, Affiliated Hospital of Putian University, Putian University, Putian, 351100, China
| | - Liumin Yu
- Central laboratory, Affiliated Hospital of Putian University, Putian University, Putian, 351100, China
| | - Zhanfei Chen
- Central laboratory, Affiliated Hospital of Putian University, Putian University, Putian, 351100, China
| | - Jianlin Shen
- Central laboratory, Affiliated Hospital of Putian University, Putian University, Putian, 351100, China
| | - Yu Chen
- Central laboratory, Affiliated Hospital of Putian University, Putian University, Putian, 351100, China
| | - Zhonghui Chen
- Central laboratory, Affiliated Hospital of Putian University, Putian University, Putian, 351100, China
| | - Zhenyu Lin
- Ministry of Education Key Laboratory for Analytical Science of Food Safety and Biology, Department of Chemistry, Fuzhou University, Fuzhou, 350116, China
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Zhang Y, Wang L, Ge L, Wei Y, He S, Liu H. Temperature-sensitive metal-enhanced fluorescence and plasmon resonance energy transfer. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2024; 16:3331-3336. [PMID: 38742672 DOI: 10.1039/d4ay00315b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
Experimental decoupling of the effects of plasmon resonance energy transfer (PRET) and metal-enhanced fluorescence (MEF) within the same nanometal-fluorophore pair is fascinating but challenging. In this study, we presented a possible solution for this by coating plasmonic Au nanoparticles (AuNPs) with temperature-sensitive poly(N-isopropylacrylamide) (pNIPAM) shells and R6G hybrids, termed the Au@p-R nanoplatform, which could reversibly adjust the separation between dyes and the AuNP surface, enabling an ON/OFF switch between MEF and PRET. In our optimization process, we discovered that 20 kDa of pNIPAM causes an MEF effect owing to an appropriate shrinking distance of 6.86 ± 0.85 nm. This dual-model nanoplatform exhibits great potential for tracking temperature-dependent transitions.
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Affiliation(s)
- Yu Zhang
- Institutes of Physical Science and Information Technology, Anhui University, Hefei 230039, P. R. China.
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230601, P. R. China
| | - Liming Wang
- Institutes of Physical Science and Information Technology, Anhui University, Hefei 230039, P. R. China.
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230601, P. R. China
| | - Li Ge
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230601, P. R. China
| | - Yujiao Wei
- Institutes of Physical Science and Information Technology, Anhui University, Hefei 230039, P. R. China.
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230601, P. R. China
| | - Shengnan He
- Institutes of Physical Science and Information Technology, Anhui University, Hefei 230039, P. R. China.
| | - Honglin Liu
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230601, P. R. China
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Lu Y, Mo X, Zhu G, Huang Y, Wang Y, Yang Z, Gao L, Shen G, Wang Y, Zhao X. Ratiometric SERS quantification of SO 2 vapor based on Au@Ag-Au with Raman reporter as internal standard. JOURNAL OF HAZARDOUS MATERIALS 2024; 467:133763. [PMID: 38359757 DOI: 10.1016/j.jhazmat.2024.133763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 01/31/2024] [Accepted: 02/08/2024] [Indexed: 02/17/2024]
Abstract
Practical gas sensing application requires sensors to quantify target analytes with high sensitivity and reproducibility. However, conventional surface enhanced Raman scattering (SERS) sensor lacks reproducibility and quantification arising from variations of "hot spot" distribution and measurement conditions. Here, a ratio-dependent SERS sensor was developed for quantitative label-free gas sensing. Au@Ag-Au nanoparticles (NPs) were filtered onto anodic aluminum oxide (AAO) forming Au@Ag-Au@AAO SERS substrate. 4-MBA was encapsulated in the gap of Au@Ag-Au and served as the internal standard (IS) to calibrate SERS signal fluctuation for improved quantification ability. Combined with headspace sampling method, SO2 residue in traditional Chinese medicine (TCM) can be extracted and captured on the immediate vicinity of Au@Ag-Au surface. The intensity ratio I613 cm-1/I1078 cm-1 showed excellent linearity within the range of 0.5 mg/kg-500 mg/kg, demonstrating superior quantification performance for SO2 detection. Signals for concentration as low as 0.05 mg/kg of SO2 could be effectively collected, much lower than the strictest limit 10 mg/kg in Chinese Pharmacopoeia. Combined with a handheld Raman spectrometer, handy and quantitative TCM quality evaluation in aspect of SO2 residue was realized. This ratiometric SERS sensor functioned well in rapid on-site SO2 quantification, exhibiting excellent sensitivity and simple operability.
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Affiliation(s)
- Yu Lu
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing 211189, China; Institute of Biomaterials and Medical Devices, Southeast University, Suzhou 215163, China; Southeast University Shenzhen Research Institute, Shenzhen 518000, China
| | - Xiufang Mo
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing 211189, China; Institute of Biomaterials and Medical Devices, Southeast University, Suzhou 215163, China; Southeast University Shenzhen Research Institute, Shenzhen 518000, China
| | - Geng Zhu
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing 211189, China; Institute of Biomaterials and Medical Devices, Southeast University, Suzhou 215163, China; Southeast University Shenzhen Research Institute, Shenzhen 518000, China
| | - Yan Huang
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing 211189, China; Institute of Biomaterials and Medical Devices, Southeast University, Suzhou 215163, China; Southeast University Shenzhen Research Institute, Shenzhen 518000, China
| | - Yingchao Wang
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China; Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Hangzhou 310018, China
| | - Zhenzhong Yang
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China
| | - Liqiong Gao
- Hangzhou Institute for Food and Drug Control, Hangzhou 310022, China
| | - Guofang Shen
- Hangzhou Institute for Food and Drug Control, Hangzhou 310022, China
| | - Yi Wang
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China; Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Hangzhou 310018, China.
| | - Xiangwei Zhao
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing 211189, China; Institute of Biomaterials and Medical Devices, Southeast University, Suzhou 215163, China; Southeast University Shenzhen Research Institute, Shenzhen 518000, China.
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Chen J, Cheng L, Yang Y, Liu Y, Su C, He Y, You M, Lin Z, Hong G. Background-Free SERS Nanosensor for Endogenous Hydrogen Sulfide Detection Based on Prussian Blue-Coated Gold Nanobipyramids. ACS APPLIED MATERIALS & INTERFACES 2024. [PMID: 38491944 DOI: 10.1021/acsami.3c17385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/18/2024]
Abstract
Surface-enhanced Raman scattering (SERS) has great potential in biological analysis due to its specificity, sensitivity, and non-invasive nature. However, effectively extracting Raman information and avoiding spectral overlapping from biological background interference remain major challenges. In this study, we developed a background-free SERS nanosensor consisting of gold nanobipyramids (Au NBPs) core-Prussian blue (PB) shell (Au NBPs@PB), for endogenous H2S detection. The PB shell degraded quickly upon contact with endogenous H2S, generating a unique Raman signal response in the Raman silent region (1800-2800 cm-1). By taking advantage of the high SERS-activity of Au NBPs and H2S-triggered spectral changes of PB, these SERS nanosensors effectively minimize potential biological interferences. The nanosensor exhibits a detection range of 2.0 μM to 250 μM and a limit of detection (LOD) of 0.34 μM, with good reproducibility and minimal interference. We successfully applied this background-free SERS platform to monitor endogenous H2S concentrations in human serum samples with satisfied results.
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Affiliation(s)
- Jiaming Chen
- Department of Laboratory Medicine, Xiamen Key Laboratory of Genetic Testing, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361005, People's Republic of China
| | - Lingjun Cheng
- Department of Laboratory Medicine, Xiamen Key Laboratory of Genetic Testing, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361005, People's Republic of China
| | - Yuanyuan Yang
- Department of Laboratory Medicine, Xiamen Key Laboratory of Genetic Testing, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361005, People's Republic of China
| | - Yating Liu
- Department of Laboratory Medicine, Xiamen Key Laboratory of Genetic Testing, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361005, People's Republic of China
| | - Canping Su
- Department of Laboratory Medicine, Xiamen Key Laboratory of Genetic Testing, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361005, People's Republic of China
| | - Yinghao He
- Department of Laboratory Medicine, Xiamen Key Laboratory of Genetic Testing, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361005, People's Republic of China
| | - Mingming You
- Department of Laboratory Medicine, Xiamen Key Laboratory of Genetic Testing, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361005, People's Republic of China
| | - Zhenyu Lin
- Ministry of Education Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection for Food Safety, Department of Chemistry, Fuzhou University, Fuzhou, Fujian 350116, People's Republic of China
| | - Guolin Hong
- Department of Laboratory Medicine, Xiamen Key Laboratory of Genetic Testing, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361005, People's Republic of China
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Zheng K, Shen Y, Chen Z, Zhao L, Li Z, Huang X, Shi J, Zhang Y, Xu X, Zhu Z, Jiang Z, Zhang M, Zou X. Bimetallic AuNR@AgNCs for ultrasensitive surface-enhanced Raman scattering sensing of dithianon in apple juice. Anal Chim Acta 2024; 1292:342199. [PMID: 38309856 DOI: 10.1016/j.aca.2023.342199] [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] [Received: 06/28/2023] [Revised: 11/21/2023] [Accepted: 12/31/2023] [Indexed: 02/05/2024]
Abstract
In this study, a bimetallic surfaced-enhanced Raman spectroscopy (SERS)-active substrate consisting of AuNR@AgNCs was proposed for the rapid detection of dithianon. Due to the significant synergistic enhancement of the core-shell nanocuboids, the obtained AuNR@AgNC substrate exhibited excellent SERS performance. The simulation findings supported the practical SERS results and demonstrated that interactions were mainly maintained by the nitrile functional group. The AuNR@AgNCs could be used to detect dithianon with an LOD value of 20 nM. Moreover, dithianon in river water and apple juice could be detected with recovery in the satisfactory ranges of 97.41%-98.35% and 97.77%-98.70%, respectively, by using this substrate under optimal conditions, indicating that the AuNR@AgNC substrate could serve as an excellent SERS detection platform for pesticide residues in fruit.
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Affiliation(s)
- Kaiyi Zheng
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013, Jiangsu, China.
| | - Ye Shen
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013, Jiangsu, China
| | - Zhiyang Chen
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013, Jiangsu, China
| | - Lina Zhao
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013, Jiangsu, China
| | - Zhihua Li
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013, Jiangsu, China
| | - Xiaowei Huang
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013, Jiangsu, China
| | - Jiyong Shi
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013, Jiangsu, China
| | - Yang Zhang
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013, Jiangsu, China
| | - Xuechao Xu
- School of Food Science and Engineering, Yangzhou University, Yangzhou, 225127, Jiangsu, China.
| | - Zitao Zhu
- Department of Physics, East China University of Science and Technology, Shanghai, 200237, China
| | - Zhaoqiong Jiang
- Sichuan Research & Design Institute of Agricultural Machinery, Key Laboratory of Agricultural Equipment Technology for Hilly and Mountainous Areas, Ministry of Agriculture and Rural Affairs, Chengdu, 610066, Sichuan, China.
| | - Meng Zhang
- Department of Physics, East China University of Science and Technology, Shanghai, 200237, China.
| | - Xiaobo Zou
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013, Jiangsu, China.
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Zhang Y, Chen S, Ma J, Zhou X, Sun X, Jing H, Lin M, Zhou C. Enzyme-catalyzed electrochemical aptasensor for ultrasensitive detection of soluble PD-L1 in breast cancer based on decorated covalent organic frameworks and carbon nanotubes. Anal Chim Acta 2023; 1282:341927. [PMID: 37923412 DOI: 10.1016/j.aca.2023.341927] [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] [Received: 09/05/2023] [Revised: 10/11/2023] [Accepted: 10/16/2023] [Indexed: 11/07/2023]
Abstract
BACKGROUND Soluble programmed death-ligand 1 (sPD-L1) is critically involved in breast cancer recurrence and metastasis. However, the clinical application of highly sensitive sPD-L1 assays remains a challenge due to its low abundance in peripheral blood. To address this issue, for the first time, an enzyme-catalyzed electrochemical aptasensing platform was devised, incorporating covalent organic frameworks-gold nanoparticles-antibody-horseradish peroxidase (COFs-AuNPs-Ab-HRP) and polyethyleneimine-functionalized multiwalled carbon nanotubes (MWCNTs-PEI-AuNPs) for the highly specific and ultrasensitive detection of sPD-L1. RESULTS MWCNTs-PEI-AuNPs possessed an extensive specific surface area and exhibited excellent electrical conductivity, facilitating the immobilization of aptamer and amplifying the signal. COFs modified with AuNPs not only amplified the electrical signal but also proffered a loading platform for the Ab and HRP. The favorable biocompatibility of COFs contributed to the preservation of enzyme activity and stability. HRP acted in synergy with hydrogen peroxide (H2O2) to catalyze the oxidation of hydroquinone (HQ) to benzoquinone (BQ). Subsequently, BQ underwent electrochemical reduction to HQ, inducing an enzymatic redox cycle that amplified the electrochemical signal and enhanced the sensitivity and selectivity of the detection method. The developed aptasensor displayed a liner range for sPD-L1 identification from 1 pg mL-1 to 100 ng mL-1 and the detection limit reached 0.143 pg mL-1 (S/N = 3). SIGNIFICANCE Paving the way for clinical application, this strategy detected differences in sPD-L1 in cell supernatants and peripheral blood of breast cancer patients with higher sensitivity compared to commercial sPD-L1 ELISA kit. This work demonstrates significant potential in offering reference information for early diagnosis and disease surveillance of breast cancer.
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Affiliation(s)
- Yue Zhang
- Clinical Medical Laboratory Center, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, 225300, China; School of Public Health, Nantong University, 9 Qiangyuan Rd, Nantong, 226019, China.
| | - Shuyi Chen
- Clinical Medical Laboratory Center, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, 225300, China
| | - Jie Ma
- Clinical Laboratory Department, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China
| | - Xiaobin Zhou
- Clinical Medical Laboratory Center, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, 225300, China
| | - Xinchen Sun
- Clinical Medical Laboratory Center, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, 225300, China
| | - Hongyun Jing
- Clinical Medical Laboratory Center, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, 225300, China
| | - Mei Lin
- Clinical Medical Laboratory Center, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, 225300, China.
| | - Chenglin Zhou
- Clinical Medical Laboratory Center, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, 225300, China.
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Wang N, Du J, Li X, Ji X, Wu Y, Sun Z. Magnetic MOF Substrates for the Rapid and Sensitive Surface-Enhanced Raman Scattering Detection of Uranyl. Anal Chem 2023; 95:12956-12963. [PMID: 37583286 DOI: 10.1021/acs.analchem.3c02696] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/17/2023]
Abstract
With the widespread use of uranium in the nuclear industry, achieving rapid and sensitive detection of uranium contaminants is critical for reducing environmental pollution. Surface-enhanced Raman scattering (SERS), with its high sensitivity and unique fingerprint properties, has been used for the analysis of uranyl. However, the weak affinity of Au for uranyl remains a challenge in the development of spherical Au-based SERS substrates. The metal-organic framework (MOF) material ZIF-8 exhibits excellent adsorption capacity for uranyl and could overcome this limitation. In this study, ZIF-8 porous structures were modified on a magnetic SERS substrate, Fe3O4@SiO2@Au (FA), for the rapid and sensitive detection and analysis of the uranyl species. Uranyl was adsorbed by ZIF-8, allowing ready access to the hot spots in the interstices of Au nanoparticles (AuNPs). Symmetrically stretched vibrating bonds of O═U═O were detected at 829 cm-1 as the characteristic peak of uranyl by surface plasmon resonance between the AuNPs. The ZIF-8 coating had minimal influence on target detection as the detection limit for 4-MPY was only half an order of magnitude lower than before modification. The enhancement factor for uranyl reached 106. The substrate showed excellent sensing performance in a neutral or alkaline environment. It was used to detect uranyl in tap water and river water; rapid separation of the species from the water samples was achieved using an external magnet to extract radioactive waste. The proposed substrate offers a route for monitoring and detecting uranyl contamination and an approach for achieving rapid on-site detection, providing a promising application for environmental contaminant detection.
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Affiliation(s)
- Ning Wang
- MOE Key Laboratory of Resources and Environmental System Optimization, College of Environmental Science and Engineering, North China Electric Power University, Beijing 102206, China
| | - Jingjing Du
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Xue Li
- MOE Key Laboratory of Resources and Environmental System Optimization, College of Environmental Science and Engineering, North China Electric Power University, Beijing 102206, China
| | - Xunlong Ji
- MOE Key Laboratory of Resources and Environmental System Optimization, College of Environmental Science and Engineering, North China Electric Power University, Beijing 102206, China
| | - Yulin Wu
- MOE Key Laboratory of Resources and Environmental System Optimization, College of Environmental Science and Engineering, North China Electric Power University, Beijing 102206, China
| | - Zhenli Sun
- MOE Key Laboratory of Resources and Environmental System Optimization, College of Environmental Science and Engineering, North China Electric Power University, Beijing 102206, China
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10
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Panthalattu Parambil A, Shamjith S, Kurian J, Kesavan A, Sen AK, Thangaraj PR, Maiti KK, Manheri MK. A dual mode 'turn-on' fluorescence-Raman (SERS) response probe based on a 1 H-pyrrol-3(2 H)-one scaffold for monitoring H 2S levels in biological samples. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2023; 15:2853-2860. [PMID: 37260380 DOI: 10.1039/d3ay00282a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
Discovery of the biological signaling roles of H2S has spurred great interest in developing reliable methods for its accurate detection and quantification. As considerable variation in its levels is seen during pathological conditions such as sepsis, real-time quantification methods have relevance in diagnosis as well. Of various approaches, reaction-based probes which respond through 'off-on' fluorescence emission remain the most studied. Since the intensity of emission is related to the analyte concentration in these measurements, the presence of built-in features which provide an opportunity for internal referencing will be advantageous. In view of this, a dual mode response system that senses H2S through characteristic fluorescence and Raman (SERS) signals based on a 1H-pyrrol-3(2H)-one scaffold was developed and is the main highlight of this report. This probe offers several advantages such as fast response (<1 min), and high selectivity and sensitivity with a detection limit of ∼7 nM. Imaging of H2S in HepG2 cells, making use of the SERS signal from the thiolysis product is also demonstrated.
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Affiliation(s)
| | - Shanmughan Shamjith
- CSIR-National Institute for Interdisciplinary Science and Technology, CSTD, Organic Chemistry Section, Industrial Estate P.O., Thiruvananthapuram 695019, Kerala, India.
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Jais Kurian
- Department of Chemistry, Indian Institute of Technology Madras, Chennai-600036, Tamil Nadu, India.
| | - Akila Kesavan
- Department of Chemistry, Indian Institute of Technology Madras, Chennai-600036, Tamil Nadu, India.
| | - Ashis K Sen
- Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai, 600036, India
| | - Paul R Thangaraj
- Department of Cardiothoracic and Transplant Surgery, Apollo Hospitals, Chennai, India
- Adjunct Faculty, Department of Mechanical Engineering, IIT-Madras, Chennai, 600036, India
| | - Kaustabh Kumar Maiti
- CSIR-National Institute for Interdisciplinary Science and Technology, CSTD, Organic Chemistry Section, Industrial Estate P.O., Thiruvananthapuram 695019, Kerala, India.
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Muraleedharan K Manheri
- Department of Chemistry, Indian Institute of Technology Madras, Chennai-600036, Tamil Nadu, India.
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11
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Mei X, Wang W, Li Q, Wu M, Bu L, Chen Z. A novel electrochemical sensor based on gold nanobipyramids and poly-L-cysteine for the sensitive determination of trilobatin. Analyst 2023; 148:2335-2342. [PMID: 37186001 DOI: 10.1039/d3an00368j] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
Trilobatin is a flavonoid that has wide application prospects due to its various pharmacological effects, such as anti-inflammation and anti-oxidation. In this work, a novel electrochemical sensor based on gold nanobipyramids (AuNBs) and L-cysteine (L-cys) was constructed for the sensitive and selective determination of trilobatin. The AuNBs, which were prepared by a seed-mediated growth method, had large specific surface areas and excellent electrical conductivity. A layer of L-cys film, which provided more active sites through the amino and hydroxyl groups, was modified on the surface of the AuNBs by electropolymerization. Significantly, the Au-S bond between the L-cys film and AuNBs could improve the stability of the sensor and it exhibited satisfactory electrocatalytic oxidation activity for trilobatin. Under optimized conditions, the sensor based on poly-L-cys/AuNBs/GCE was used to determine trilobatin by differential pulse voltammetry (DPV). Two wide linear ranges between the current peak and the concentration of trilobatin were obtained in the range from 5 to 100 μM and 100 to 1000 μM, and the low detection limit (LOD) was up to 2.55 μM (S/N = 3). The sensor demonstrated desirable reproducibility, stability, and selectivity and was applied to detect real trilobatin samples extracted from Lithocarpus polystachyus Rehd.'s leaves, showing recoveries of 98.36%-104.96%, with satisfactory results.
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Affiliation(s)
- Xue Mei
- Jiangsu Key Laboratory of Advanced Catalytic Materials and Technology, School of Petrochemical Engineering, Changzhou University, Changzhou 213164, China.
| | - Wenchang Wang
- Jiangsu Key Laboratory of Advanced Catalytic Materials and Technology, School of Petrochemical Engineering, Changzhou University, Changzhou 213164, China.
- Analysis and Testing Center, NERC Biomass of Changzhou University, Jiangsu, 213032, China
| | - Qingyi Li
- Changzhou SIMM DRUG R&D Co., Ltd, Changzhou 213164, China
| | - Minxian Wu
- Jiangsu Key Laboratory of Advanced Catalytic Materials and Technology, School of Petrochemical Engineering, Changzhou University, Changzhou 213164, China.
| | - Liyin Bu
- Jiangsu Key Laboratory of Advanced Catalytic Materials and Technology, School of Petrochemical Engineering, Changzhou University, Changzhou 213164, China.
| | - Zhidong Chen
- Jiangsu Key Laboratory of Advanced Catalytic Materials and Technology, School of Petrochemical Engineering, Changzhou University, Changzhou 213164, China.
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12
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Liu M, Fu X, Lu M, Liu J, Xie H, Wei P, Zhang W, Xie Y, Qi Y. Colorimetric and visual determination of iodide ions via morphology transition of gold nanobipyramids. Anal Biochem 2023; 666:115077. [PMID: 36754136 DOI: 10.1016/j.ab.2023.115077] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 02/02/2023] [Accepted: 02/04/2023] [Indexed: 02/10/2023]
Abstract
The gold nanobipyramids (Au NBPs) are widely used in the analytical detection of biochemistry due to their unique localized surface plasmon resonance (LSPR) properties. In our developed approach, I- in kelp was detected by etching Au NBPs in the presence of IO3-. Under acidic conditions, IO3- reacted rapidly with I- to form I2, subsequently I2 reacted with I- to form the intermediate I3-. In the presence of CTAB, Au NBPs were etched by I2 derived from I3-, resulting in a decrease in the aspect ratio of Au NBPs, to form a significant blue shift of LSPR longitudinal peak and color variation of colloid which changed from blue-green to magenta and could be employed to quantitatively detect the concentration of I- with the naked eye. A linear relationship can be found between the LSPR peak changes with the I- concentration in a wide range from 4.0 μM to 15.0 μM, and the sensitive limit of detection (LOD) was 0.2 μM for UV-vis spectroscopy and the obvious color changes with a visual LOD was 4.0 μM for the naked eye. Benefiting from the high specificity, the proposed colorimetric detection of I- in kelp samples was achieved, indicating the available potential of the colorimetric detection for the determination of I- in real samples. What's more, this detection procedure was time-saving and could avoid tedious procedures.
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Affiliation(s)
- Min Liu
- MOE Key Laboratory of Oil and Gas Fine Chemicals, School of Chemical Engineering and Technology, Xinjiang University, Urumqi, 830046, China
| | - Xiaojuan Fu
- MOE Key Laboratory of Oil and Gas Fine Chemicals, School of Chemistry, Xinjiang University, Urumqi, 830046, China
| | - Mengjie Lu
- MOE Key Laboratory of Oil and Gas Fine Chemicals, School of Chemistry, Xinjiang University, Urumqi, 830046, China
| | - Jijian Liu
- MOE Key Laboratory of Oil and Gas Fine Chemicals, School of Chemical Engineering and Technology, Xinjiang University, Urumqi, 830046, China
| | - Huihui Xie
- MOE Key Laboratory of Oil and Gas Fine Chemicals, School of Chemistry, Xinjiang University, Urumqi, 830046, China
| | - Peng Wei
- MOE Key Laboratory of Oil and Gas Fine Chemicals, School of Chemical Engineering and Technology, Xinjiang University, Urumqi, 830046, China
| | - Weidong Zhang
- School of Chemical Engineering, Qinghai University, Xining, 810016, China.
| | - Yahong Xie
- MOE Key Laboratory of Oil and Gas Fine Chemicals, School of Chemical Engineering and Technology, Xinjiang University, Urumqi, 830046, China.
| | - Ying Qi
- MOE Key Laboratory of Oil and Gas Fine Chemicals, School of Chemical Engineering and Technology, Xinjiang University, Urumqi, 830046, China.
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13
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Duan X, Li Z, Wang L, Lin H, Wang K. Engineered nanomaterials-based sensing systems for assessing the freshness of meat and aquatic products: A state-of-the-art review. Compr Rev Food Sci Food Saf 2023; 22:430-450. [PMID: 36451298 DOI: 10.1111/1541-4337.13074] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 10/02/2022] [Accepted: 10/20/2022] [Indexed: 12/05/2022]
Abstract
Meat and aquatic products are susceptible to spoilage during distribution, transportation, and storage, increasing the urgency of freshness evaluation. Engineered nanomaterials (ENMs) typically with the diameter in the range of 1-100 nm exhibit fascinating physicochemical properties. ENMs-based sensing systems have received extensive attention for food freshness assessment due to the advantages of being fast, simple, and sensitive. This review focuses on summarizing the recent application of ENMs-based sensing systems for food freshness detection. First, chemical indicators related to the freshness of meat and aquatic products are described. Then, how to apply the ENMs including noble metal nanomaterials, metal oxide nanomaterials, carbon nanomaterials, and metal-organic frameworks for the construction of different sensing systems were described. Besides, the recent advance in ENMs-based colorimetric, fluorescent, electrochemical, and surface-enhanced Raman spectroscopy sensing systems for assessing the freshness of meat and aquatic products were outlined. Finally, the challenges and future research perspectives for the application of ENMs-based sensing systems were discussed. The ENMs-based sensing systems have been demonstrated as effective tools for freshness evaluation. The sensing performance of ENMs employed in different sensing systems depends on their composition, size, shape, and stability of nanoparticles. For the real application of ENMs in food industries, the risks and regulatory issues associated with nanomaterials need to be further considered. With the continuous development of nanomaterials and sensing devices, the ENMs-based sensors are expected to be applied in-field for rapid detection of the freshness of meat and aquatic products in the future.
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Affiliation(s)
- Xiaoyan Duan
- College of Food Science and Engineering, Ocean University of China, Qingdao, Shandong, China
| | - Zhuoran Li
- College of Food Science and Engineering, Ocean University of China, Qingdao, Shandong, China
| | - Lei Wang
- College of Food Science and Engineering, Ocean University of China, Qingdao, Shandong, China
| | - Hong Lin
- College of Food Science and Engineering, Ocean University of China, Qingdao, Shandong, China
| | - Kaiqiang Wang
- College of Food Science and Engineering, Ocean University of China, Qingdao, Shandong, China.,Fujian Provincial Key Laboratory of Breeding Lateolabrax Japonicus, Ningde, Fujian, China
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14
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Rapid and ultrasensitive solution-based SERS detection of drug additives in aquaculture by using polystyrene sulfonate modified gold nanobipyramids. Talanta 2023; 251:123800. [DOI: 10.1016/j.talanta.2022.123800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 06/28/2022] [Accepted: 07/06/2022] [Indexed: 11/27/2022]
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15
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Fu H, Ding N, Ma D, Xu Q, Lin B, Qiu B, Lin Z, Guo L. Green Synthesis of Three-Dimensional Au Nanorods@TiO 2 Nanocomposites as Self-Cleaning SERS Substrate for Sensitive, Recyclable, and In Situ Sensing Environmental Pollutants. BIOSENSORS 2022; 13:7. [PMID: 36671842 PMCID: PMC9856196 DOI: 10.3390/bios13010007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 12/17/2022] [Accepted: 12/19/2022] [Indexed: 06/17/2023]
Abstract
In this work, a simple, low-cost, green, and mild method for the preparation of three-dimensional nanocomposite materials of gold nanorods (Au NRs)@TiO2 is reported. The surface of Au NRs was coated with TiO2 in situ reduction at room temperature without a complicated operation. The synthetic Au NRs@TiO2 nanocomposites were used as surface-enhanced Raman spectroscopy (SERS) active substrates for the reusable and sensitive detection of environmental pollutants. The results showed that the pollutants on Au NRs@TiO2 nanocomposites have higher SERS activity and reproducibility than those on the Au NR substrate without the presence of TiO2. Moreover, the SERS substrate can be readily recycled by UV-assisted self-cleaning to remove residual analyte molecules. Malachite green (MG) and crystal violet (CV) were used as examples to demonstrate the feasibility of the proposed sensor for the sensitive detection of environmental pollutants. The results showed that the limit of detections (LODs) were 0.75 μg/L and 0.50 μg/L for MG and CV, respectively, with the recoveries ranging from 86.67% to 91.20% and 83.70% to 89.00%. Meanwhile, the SERS substrate can be easily regenerated by UV light irradiation. Our investigation revealed that within three cycles, the Au NRs@TiO2 substrates still maintained the high SERS enhancement effect that they showed when first used for SERS detection. These results indicated that the method can be used to detect MG and CV in really complex samples. Due to the high sensitivity, reusability, and portability and the rapid detection property of the proposed sensor, it can have potential applications in the on-site detection of environmental pollutants in a complex sample matrix.
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Affiliation(s)
- Huiping Fu
- Jiaxing Key Laboratory of Molecular Recognition and Sensing, College of Biological, Chemical Sciences and Engineering, Jiaxing University, Jiaxing 314001, China
- Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, MOE Key Laboratory for Analytical Science of Food Safety and Biology, Institute of Nanomedicine and Nanobiosensing, College of Chemistry, Fuzhou University, Fuzhou 350116, China
| | - Ning Ding
- Jiaxing Key Laboratory of Molecular Recognition and Sensing, College of Biological, Chemical Sciences and Engineering, Jiaxing University, Jiaxing 314001, China
| | - Dan Ma
- Jiaxing Key Laboratory of Molecular Recognition and Sensing, College of Biological, Chemical Sciences and Engineering, Jiaxing University, Jiaxing 314001, China
| | - Qing Xu
- Jiaxing Key Laboratory of Molecular Recognition and Sensing, College of Biological, Chemical Sciences and Engineering, Jiaxing University, Jiaxing 314001, China
| | - Bingyong Lin
- Jiaxing Key Laboratory of Molecular Recognition and Sensing, College of Biological, Chemical Sciences and Engineering, Jiaxing University, Jiaxing 314001, China
| | - Bin Qiu
- Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, MOE Key Laboratory for Analytical Science of Food Safety and Biology, Institute of Nanomedicine and Nanobiosensing, College of Chemistry, Fuzhou University, Fuzhou 350116, China
| | - Zhenyu Lin
- Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, MOE Key Laboratory for Analytical Science of Food Safety and Biology, Institute of Nanomedicine and Nanobiosensing, College of Chemistry, Fuzhou University, Fuzhou 350116, China
| | - Longhua Guo
- Jiaxing Key Laboratory of Molecular Recognition and Sensing, College of Biological, Chemical Sciences and Engineering, Jiaxing University, Jiaxing 314001, China
- Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, MOE Key Laboratory for Analytical Science of Food Safety and Biology, Institute of Nanomedicine and Nanobiosensing, College of Chemistry, Fuzhou University, Fuzhou 350116, China
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16
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Yang K, Zhang C, Zhu K, Qian Z, Yang Z, Wu L, Zong S, Cui Y, Wang Z. A Programmable Plasmonic Gas Microsystem for Detecting Arbitrarily Combinated Volatile Organic Compounds (VOCs) with Ultrahigh Resolution. ACS NANO 2022; 16:19335-19345. [PMID: 36278500 DOI: 10.1021/acsnano.2c08906] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
For gas sensors, the ultrasensitive and highly selective detection of multiple components is of great significance in a wide range of applications extending from environment to healthcare, which is still a long-term challenge due to the single sensing mechanism of most sensors. Here, we combine the advantages of microfluidic chips and surface-enhanced Raman spectroscopy (SERS) spectra to fabricate a smart single-chip for simultaneously detecting an arbitrary combination of VOCs that incorporates different detection units, working on either a physisorption or chemisorption mechanism. Full integration of microfluidic and multiplex nanostructure components on one chip permits programmable design for sensing multifarious volatile compounds, and enables on-chip signal amplifications with increased reproducibility. As a proof-of-principle experiment, we demonstrate the simultaneous identification of 9 different gases that belong to aromatic compounds, aldehydes, ketones, or sulfides in one mixture, with high sensitivity (ppb level), high selectivity, and high robustness (error ∼8%). We further evaluated the application of our universal gas sensor in two scenarios including indoor air pollution monitoring and exhaled breath-based disease diagnosis. We expect that our design will improve the various practical applications of gas sensors.
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Affiliation(s)
- Kuo Yang
- Advanced Photonics Center, School of Electronic Science and Engineering, Southeast University, Nanjing 210096, China
| | - Congyu Zhang
- Advanced Photonics Center, School of Electronic Science and Engineering, Southeast University, Nanjing 210096, China
| | - Kai Zhu
- Advanced Photonics Center, School of Electronic Science and Engineering, Southeast University, Nanjing 210096, China
| | - Ziting Qian
- Advanced Photonics Center, School of Electronic Science and Engineering, Southeast University, Nanjing 210096, China
| | - Zhaoyan Yang
- Advanced Photonics Center, School of Electronic Science and Engineering, Southeast University, Nanjing 210096, China
| | - Lei Wu
- Advanced Photonics Center, School of Electronic Science and Engineering, Southeast University, Nanjing 210096, China
| | - Shenfei Zong
- Advanced Photonics Center, School of Electronic Science and Engineering, Southeast University, Nanjing 210096, China
| | - Yiping Cui
- Advanced Photonics Center, School of Electronic Science and Engineering, Southeast University, Nanjing 210096, China
| | - Zhuyuan Wang
- Advanced Photonics Center, School of Electronic Science and Engineering, Southeast University, Nanjing 210096, China
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17
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Xie X, Gao N, Huang Y, Fang Y. SERS Monitored Kinetic Process of Gaseous Thiophenol Compound in Plasmonic MOF Nanoparticles. ACS APPLIED MATERIALS & INTERFACES 2022; 14:51468-51475. [PMID: 36321296 DOI: 10.1021/acsami.2c13820] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Benefiting from the electromagnetic enhancement of noble metal nanoparticles (NPs) and the capture ability of organic frameworks, plasmonic metal-organic framework (MOF) structures have greatly promoted the development of gas detection by surface-enhanced Raman spectroscopy (SERS). In those detections, the kinetic process of gaseous molecules in plasmonic-MOF structures has a great influence on SERS spectra, which is still lacking intensive investigation in previous reports. In this work, the kinetic processes of gaseous thiophenol compounds (TPC) in the plasmonic Zeolitic Imidazolate Framework (Ag@ZIF) core-shell NPs are studied by SERS spectra. The experimental data demonstrate that the SERS intensities of gaseous TPC could be enhanced once more in an H2 mixed gas environment with different functional groups of TPC. Further results reveal that the two-step enhancement of SERS intensities is not only related to the thicknesses of the MOF shell but also affected by the ambient mixed gas. To understand this novel phenomenon, the binding energy between the gaseous molecule and ZIF is calculated based on first-principles computation. In combination with the plasmonic properties of the Ag core, a molecular collision model is introduced here to show the distribution of gaseous TPC molecules in ZIF, which could be responsible for this interesting two-step enhancement of SERS intensities. Furthermore, the H2 assisted kinetic process of gaseous p-aminothiophenol (PATP) is also analyzed by the classical pseudo-first-order kinetic model, which is consistent with our experimental SERS data. Our work not only reveals the novel phenomenon of plasmonic-MOF structures to improve the gas detection by SERS spectra but also enriches the understanding of the microcosmic process of gaseous molecules in the mixed gas environment to optimize MOF structures for gas capture and storage.
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Affiliation(s)
- Xin Xie
- State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing400044, China
| | - Nan Gao
- Key Laboratory of Materials Modification by Laser, Electron, and Ion Beams (Ministry of Education); School of Physics, Dalian University of Technology, Dalian116024, China
| | - Yingzhou Huang
- State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing400044, China
- Chongqing Key Laboratory of Soft Condensed Matter Physics and Smart Materials, College of Physics, Chongqing University, Chongqing400044, China
| | - Yurui Fang
- Key Laboratory of Materials Modification by Laser, Electron, and Ion Beams (Ministry of Education); School of Physics, Dalian University of Technology, Dalian116024, China
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18
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Gutowski Ł, Liszewska M, Bartosewicz B, Budner B, Weyher JL, Jankiewicz BJ. Investigation of organic monoradicals reactivity using surface-enhanced Raman spectroscopy. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2022; 278:121312. [PMID: 35537259 DOI: 10.1016/j.saa.2022.121312] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 03/28/2022] [Accepted: 04/23/2022] [Indexed: 06/14/2023]
Abstract
Surface-enhanced Raman spectroscopy (SERS) and self-assembled monolayer (SAM) approaches were used to investigate the reactions of organic monoradicals with methanol. An attempt was made to generate monoradicals from thiophenols and phenylmethanethiols substituted with bromine, iodine, and nitro groups by irradiation with UV light. Monolayers of radical precursors were deposited on SERS substrates, which were then immersed in methanol and irradiated for 1 and/or 3, 6, 12 and 24 h in a UV photochemical reactor. Pre- and postreaction SERS spectra were obtained by using a confocal Raman microscope and compared with the spectra of expected products of the radical reaction with methanol. Our studies have shown that the efficiency of monoradical generation is highly dependent on the chemical structure of the precursor. In addition, it is shown that both the SERS substrate and experimental conditions used strongly influence the obtained results.
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Affiliation(s)
- Łukasz Gutowski
- Institute of Optoelectronics, Military University of Technology, gen. Sylwestra Kaliskiego 2, 00-908 Warsaw, Poland.
| | - Malwina Liszewska
- Institute of Optoelectronics, Military University of Technology, gen. Sylwestra Kaliskiego 2, 00-908 Warsaw, Poland.
| | - Bartosz Bartosewicz
- Institute of Optoelectronics, Military University of Technology, gen. Sylwestra Kaliskiego 2, 00-908 Warsaw, Poland.
| | - Bogusław Budner
- Institute of Optoelectronics, Military University of Technology, gen. Sylwestra Kaliskiego 2, 00-908 Warsaw, Poland.
| | - Jan L Weyher
- Institute of High-Pressure Physics, Polish Academy of Sciences, Sokołowska 29/37, 01-142 Warsaw, Poland.
| | - Bartłomiej J Jankiewicz
- Institute of Optoelectronics, Military University of Technology, gen. Sylwestra Kaliskiego 2, 00-908 Warsaw, Poland.
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19
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Chang SY, Hsieh YT, Chung YJ, Lin YF, Liu WR. CsPbBr3/aluminum (III)-1,3,5-benzenetricarboxylate composites for white light-emitting diode applications. J Taiwan Inst Chem Eng 2022. [DOI: 10.1016/j.jtice.2022.104468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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20
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Signal-On and Highly Sensitive Electrochemiluminescence Biosensor for Hydrogen Sulfide in Joint Fluid Based on Silver-Ion-Mediated Base Pairs and Hybridization Chain Reaction. CHEMOSENSORS 2022. [DOI: 10.3390/chemosensors10070250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Hydrogen sulfide (H2S) in joint fluid acts as a signal molecule to regulate joint inflammation. Direct detection of H2S in joint fluid is of great significance for the diagnosis and treatment of arthritis. However, due to the low volume of joint fluid and low H2S concentration, existing methods face the problem of the insufficient limit of detection. In this study, a highly sensitive biosensor was proposed by designing a primer probe and combining it with hybrid chain reaction (HCR) under the strong interaction between metal ions and H2S to achieve H2S detection. The primer probe containing multiple cytosine (C) sequences was fixed on a gold electrode, and the C–Ag–C hairpin structure was formed under the action of Ag+. In the presence of H2S, it can combine with Ag+ in the hairpin structure to form Ag2S, which leads to the opening of the hairpin structure and triggers the hybridization chain reaction (HCR) with another two hairpin structures (H1 and H2). A large number of double-stranded nucleic acid structures can be obtained on the electrode surface. Finally, Ru(phen)32+ can be embedded into the double chain structure to generate the electrochemiluminescence (ECL) signal. The linear response of the H2S biosensor ranged from 0.1000 to 1500 nM, and the limit of detection concentration of H2S was 0.0398 nM. The developed biosensor was successfully used to determine H2S in joint fluid.
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21
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Zhou Q, Yan S, Zhang L. Fe-doped MOF-derived N-rich porous carbon nanoframe for H 2 S cataluminescence sensing. LUMINESCENCE 2022; 37:1135-1144. [PMID: 35470541 DOI: 10.1002/bio.4267] [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: 04/12/2022] [Revised: 04/20/2022] [Accepted: 04/22/2022] [Indexed: 11/11/2022]
Abstract
Metal-doped porous carbon matrix composites are considered as outstanding H2 S cataluminescence sensing materials for their good sulfur tolerance and high cataluminescence activity. In this work, Fe-doped MOF-derived N-rich porous carbon nanoframe was successfully fabricated by pyrolysis of Fe-doped ZIF-8 in an Ar atmosphere at a temperature of 900 °C, and used for H2 S cataluminescence sensing. Along with zinc volatilization, the obtained porous carbon nanoframe not only had high specific surface area and abundant voids, but also had well dispersed Fe species doped in the skeleton. Compared with Fe2 O3 /ZnO composites derived from the same precursor but different pyrolysis terms, this as-prepared Fe-doped N-rich porous carbon presented three times increase of cataluminescence intensity towards H2 S, attributing to the porous carbon skeleton which is indispensable for dispersing catalytic active sites and providing more absorptive surface and voids. Comparably, this proposed sensor demonstrated high sensitivity and good selectivity, with the detection range of 1.57-19.58 μg·mL-1 and detection limit as 0.13 μg·mL-1 towards H2 S. This work may provide a new pathway for preparing catalysts for cataluminescence sensing with better metal distribution, higher specific surface area, richer pores than ever before.
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Affiliation(s)
- Qin Zhou
- Key Laboratory of Green Chemistry & Technology, Ministry of Education, College of Chemistry, Sichuan University, Chengdu, China
| | - Shuguang Yan
- Analytical & Testing Center, Sichuan University, Chengdu, China
| | - Lichun Zhang
- Key Laboratory of Green Chemistry & Technology, Ministry of Education, College of Chemistry, Sichuan University, Chengdu, China
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22
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He C, Zhu S, Wu X, Zhou J, Chen Y, Qian X, Ye J. Accurate Tumor Subtype Detection with Raman Spectroscopy via Variational Autoencoder and Machine Learning. ACS OMEGA 2022; 7:10458-10468. [PMID: 35382336 PMCID: PMC8973095 DOI: 10.1021/acsomega.1c07263] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/25/2021] [Accepted: 03/09/2022] [Indexed: 05/04/2023]
Abstract
Accurate diagnosis of cancer subtypes is a great guide for the development of surgical plans and prognosis in the clinic. Raman spectroscopy, combined with the machine learning algorithm, has been demonstrated to be a powerful tool for tumor identification. However, the analysis and classification of Raman spectra for biological samples with complex compositions are still challenges. In addition, the signal-to-noise ratio of the spectra also influences the accuracy of the classification. Herein, we applied the variational autoencoder (VAE) to Raman spectra for downscaling and noise reduction simultaneously. We validated the performance of the VAE algorithm at the cellular and tissue levels. VAE successfully downscaled high-dimensional Raman spectral data to two-dimensional (2D) data for three subtypes of non-small cell lung cancer cells and two subtypes of kidney cancer tissues. Gaussian naïve bayes was applied to subtype discrimination with the 2D data after VAE encoding at both the cellular and tissue levels, significantly outperforming the discrimination results using original spectra. Therefore, the analysis of Raman spectroscopy based on VAE and machine learning has great potential for rapid diagnosis of tumor subtypes.
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Affiliation(s)
- Chang He
- State
Key Laboratory of Oncogenes and Related Genes, School of Biomedical
Engineering, Shanghai Jiao Tong University, Shanghai 200030, P.R. China
| | - Shuo Zhu
- State
Key Laboratory of Oncogenes and Related Genes, School of Biomedical
Engineering, Shanghai Jiao Tong University, Shanghai 200030, P.R. China
| | - Xiaorong Wu
- Department
of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, P.R. China
| | - Jiale Zhou
- Department
of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, P.R. China
| | - Yonghui Chen
- Department
of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, P.R. China
| | - Xiaohua Qian
- State
Key Laboratory of Oncogenes and Related Genes, School of Biomedical
Engineering, Shanghai Jiao Tong University, Shanghai 200030, P.R. China
| | - Jian Ye
- State
Key Laboratory of Oncogenes and Related Genes, School of Biomedical
Engineering, Shanghai Jiao Tong University, Shanghai 200030, P.R. China
- Shanghai
Key Laboratory of Gynecologic Oncology, Ren Ji Hospital, School of
Medicine, Shanghai Jiao Tong University, Shanghai 200127, P.R. China
- Institute
of Medical Robotics, Shanghai Jiao Tong
University, Shanghai 200240, P.R. China
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23
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Cheng J, Cao H, Xu Y, Yang Y, He Y, Wang H. In Situ Monitoring of Dynamic Photocatalysis of Metal-Organic Frameworks by Three-Dimensional Shell-Isolated Nanoparticle-Enhanced Raman Spectroscopy. Anal Chem 2022; 94:5699-5706. [PMID: 35344343 DOI: 10.1021/acs.analchem.2c00643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Metal-organic frameworks (MOFs) are promising as novel disinfectants due to the reactive oxygen species (ROS) produced in their photocatalytic processes. The optimal MOF is screened as the best disinfectant, representing high-efficacy production of ROS under photocatalytic conditions. However, current methods to screen abundant MOFs for disinfectant application are generally semiquantitative or ex situ methods [such as electron paramagnetic resonance (EPR) measurements], so achieving a strategy that can quantitatively screen an optimal MOF in situ and is reliable is demanded. Herein, we developed a three-dimensional (3D) shell-isolated nanoparticle-enhanced Raman spectroscopy (SHINERS) platform to study the dynamic photocatalytic processes of various MOFs (e.g., ZIF-67, ZIF-8, and UIO-66) in situ. This platform comprises silica shell-isolated gold nanoparticles (AuNPs) modified on silicon nanowire arrays (SiNWArs). The MOF is then self-assembled on the 3D-SHINERS substrate. Using this platform, we recorded dynamic spectroscopic evidence of ROS formation by various MOFs under sunlight irradiation. By dynamic comparison, ZIF-67 has the most robust photocatalytic efficiency, ∼1.7-fold stronger than that of ZIF-8 and ∼42.6-fold stronger than that of UIO-66. As expected, ZIF-67 displays the best antibacterial ability, up to 99% in the agar plate assay. This work provides a versatile platform for dynamically monitoring photocatalytic performance and screening antibacterial MOFs.
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Affiliation(s)
- Jiayi Cheng
- Laboratory of Nanoscale Biochemical Analysis, Suzhou Key Laboratory of Nanotechnology and Biomedicine, Institute of Functional Nano & Soft Materials (FUNSOM), Soochow University, Suzhou, Jiangsu 215123, China
| | - Haiting Cao
- Laboratory of Nanoscale Biochemical Analysis, Suzhou Key Laboratory of Nanotechnology and Biomedicine, Institute of Functional Nano & Soft Materials (FUNSOM), Soochow University, Suzhou, Jiangsu 215123, China
| | - Yanan Xu
- Laboratory of Nanoscale Biochemical Analysis, Suzhou Key Laboratory of Nanotechnology and Biomedicine, Institute of Functional Nano & Soft Materials (FUNSOM), Soochow University, Suzhou, Jiangsu 215123, China
| | - Yunmin Yang
- Laboratory of Nanoscale Biochemical Analysis, Suzhou Key Laboratory of Nanotechnology and Biomedicine, Institute of Functional Nano & Soft Materials (FUNSOM), Soochow University, Suzhou, Jiangsu 215123, China
| | - Yao He
- Laboratory of Nanoscale Biochemical Analysis, Suzhou Key Laboratory of Nanotechnology and Biomedicine, Institute of Functional Nano & Soft Materials (FUNSOM), Soochow University, Suzhou, Jiangsu 215123, China
| | - Houyu Wang
- Laboratory of Nanoscale Biochemical Analysis, Suzhou Key Laboratory of Nanotechnology and Biomedicine, Institute of Functional Nano & Soft Materials (FUNSOM), Soochow University, Suzhou, Jiangsu 215123, China
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24
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Lin Y, Zhan Y, Luo F, Lin C, Wang J, Qiu B, Lin Z. Multicolor hydrogen sulfide sensor for meat freshness assessment based on Cu 2+-modified boron nitride nanosheets-supported subnanometer gold nanoparticles. Food Chem 2022; 381:132278. [PMID: 35139466 DOI: 10.1016/j.foodchem.2022.132278] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Revised: 01/14/2022] [Accepted: 01/26/2022] [Indexed: 12/15/2022]
Abstract
Hydrogen sulfide (H2S) has emerged as an important indicator in the spoilage process of meat. In this study, a mimetic enzyme based on Cu2+-modified boron nitride nanosheets-supported gold nanoparticles (AuNPs/Cu2+-BNNS) was synthesized, which can be used to catalyze the oxidation of 3,3',5,5'-tetramethylbenzidine (TMB). The H2S gas can inhibit the activity of AuNPs/Cu2+-BNNS toward catalytic oxidation of TMB. Meanwhile, the usage of headspace method could avoid most interferences in the rotten sample. Various concentrations of TMB+ could change the aspect ratio of the gold nanoroads (AuNRs), which results in vivid color changing and UV-vis spectra shifting. The sensor had a good linear relationship with H2S concentration ranging from 10.0 to 90.0 μmol/L, and the detection limit is 7.8 μmol/L. The AuNPs/Cu2+-BNNS sensors were successfully applied to detect H2S produced by meat spoilage with satisfying results.
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Affiliation(s)
- Yisheng Lin
- Ministry of Education Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection for Food Safety, College of Chemistry, Fuzhou University, Fuzhou, Fujian 350116, China
| | - Yuanjin Zhan
- Ministry of Education Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection for Food Safety, College of Chemistry, Fuzhou University, Fuzhou, Fujian 350116, China
| | - Fang Luo
- Ministry of Education Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection for Food Safety, College of Chemistry, Fuzhou University, Fuzhou, Fujian 350116, China
| | - Cuiying Lin
- Ministry of Education Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection for Food Safety, College of Chemistry, Fuzhou University, Fuzhou, Fujian 350116, China
| | - Jian Wang
- Ministry of Education Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection for Food Safety, College of Chemistry, Fuzhou University, Fuzhou, Fujian 350116, China
| | - Bin Qiu
- Ministry of Education Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection for Food Safety, College of Chemistry, Fuzhou University, Fuzhou, Fujian 350116, China
| | - Zhenyu Lin
- Ministry of Education Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection for Food Safety, College of Chemistry, Fuzhou University, Fuzhou, Fujian 350116, China.
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25
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Yan X, Yang W, Li C, Liu L, Liu Y. CdS Micrometer Hollow Spheres for Detecting Alcohols Except Methanol with Strong Anti-interference Ability. ACS OMEGA 2022; 7:1468-1476. [PMID: 35036809 PMCID: PMC8756602 DOI: 10.1021/acsomega.1c06211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Accepted: 12/17/2021] [Indexed: 06/14/2023]
Abstract
Cadmium sulfide micrometer hollow spheres (CdS MHs) were fabricated by a hydrothermal method. The performance of the CdS MHs sensor was evaluated by detecting volatile organic compounds such as methanol, ethanol, 1-propanol, isopropanol, n-butanol, iso-butyl alcohol, iso-amyl alcohol, acetone, and xylene. It was found that the optimum working temperature of the CdS MHs sensor is 190 °C. The response of the CdS MHs can reach 27.4-100 ppm ethanol and reach 84.55-100 ppm isopropanol. Comparing the response to pure 5 ppm isopropanol (iso-amyl alcohol) with the mixture of 5 ppm isopropanol (iso-amyl alcohol) and 50 ppm acetone or 5 ppm isopropanol (iso-amyl alcohol) and 50 ppm methanol, the relative deviation was -1.33% (-7.11%) or -6.19% (9.20%). It suggested that the CdS MHs sensor had a strong anti-interference ability to methanol and acetone and is suitable for detecting alcohols except methanol. Therefore, the CdS MHs sensor had good response and is a promising alcohol detection material.
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Affiliation(s)
- Xueqian Yan
- Yunnan
Key Laboratory of Opto-Electronic Information Technology, Yunnan Normal University, Kunming 650500, China
- Institute
of Physics and Electronic Information, Yunnan
Normal University, Kunming 650500, China
| | - Weiye Yang
- Yunnan
Key Laboratory of Opto-Electronic Information Technology, Yunnan Normal University, Kunming 650500, China
- Institute
of Physics and Electronic Information, Yunnan
Normal University, Kunming 650500, China
| | - Chenyan Li
- Yunnan
Key Laboratory of Opto-Electronic Information Technology, Yunnan Normal University, Kunming 650500, China
- Institute
of Physics and Electronic Information, Yunnan
Normal University, Kunming 650500, China
| | - Lei Liu
- Yunnan
Key Laboratory of Opto-Electronic Information Technology, Yunnan Normal University, Kunming 650500, China
- Institute
of Physics and Electronic Information, Yunnan
Normal University, Kunming 650500, China
| | - Yingkai Liu
- Yunnan
Key Laboratory of Opto-Electronic Information Technology, Yunnan Normal University, Kunming 650500, China
- Institute
of Physics and Electronic Information, Yunnan
Normal University, Kunming 650500, China
- Key
Laboratory of Advanced Technique & Preparation for Renewable Energy
Materials, Ministry of Education, Yunnan
Normal University, Kunming 650500, China
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26
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From lab to field: Surface-enhanced Raman scattering-based sensing strategies for on-site analysis. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2021.116488] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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27
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Wang X, Wang Y, Ying Y. Recent advances in sensing applications of metal nanoparticle/metal–organic framework composites. Trends Analyt Chem 2021. [DOI: 10.1016/j.trac.2021.116395] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
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28
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Lv W, Han Z, Li Y, Huang Y, Sun J, Lu X, Liu C. Exosome‐Coated
Zeolitic Imidazolate Framework Nanoparticles for Intracellular Detection of
ATP
†. CHINESE J CHEM 2021. [DOI: 10.1002/cjoc.202100162] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Affiliation(s)
- Wenxing Lv
- Tianjin Key Laboratory of Molecular Optoelectronic Sciences, Department of Chemistry, School of Science, Tianjin University Tianjin 300072 China
- Beijing Engineering Research Center for BioNanotechnology, CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology Beijing 100190 China
| | - Ziwei Han
- Beijing Engineering Research Center for BioNanotechnology, CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology Beijing 100190 China
- School of Future Technology, University of Chinese Academy of Sciences Beijing 100049 China
| | - Yike Li
- Beijing Engineering Research Center for BioNanotechnology, CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology Beijing 100190 China
- School of Future Technology, University of Chinese Academy of Sciences Beijing 100049 China
| | - Yanjuan Huang
- Beijing Engineering Research Center for BioNanotechnology, CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology Beijing 100190 China
- School of Future Technology, University of Chinese Academy of Sciences Beijing 100049 China
| | - Jiashu Sun
- Beijing Engineering Research Center for BioNanotechnology, CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology Beijing 100190 China
- School of Future Technology, University of Chinese Academy of Sciences Beijing 100049 China
| | - Xiaoquan Lu
- Tianjin Key Laboratory of Molecular Optoelectronic Sciences, Department of Chemistry, School of Science, Tianjin University Tianjin 300072 China
- Key Laboratory of Bioelectrochemistry and Environmental Analysis of Gansu Province, College of Chemistry and Chemical Engineering, Northwest Normal University Lanzhou Gansu 730070 China
| | - Chao Liu
- Beijing Engineering Research Center for BioNanotechnology, CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology Beijing 100190 China
- School of Future Technology, University of Chinese Academy of Sciences Beijing 100049 China
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