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Hu X, Sun H, Jiang Y, Xiao X, Liang Y, Lei M, Yang Y, Zhang J, Qin P, Luo L, Wu Z. π-π conjugated PDI supramolecular regulating the photoluminescence of imine-COFs for sensitive smartphone visual detection of levofloxacin. Food Chem 2024; 460:140688. [PMID: 39089027 DOI: 10.1016/j.foodchem.2024.140688] [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: 05/08/2024] [Revised: 07/25/2024] [Accepted: 07/26/2024] [Indexed: 08/03/2024]
Abstract
As the contamination and enrichment in food chain of levofloxacin (LV) antibiotics have caused a significant threat to life safety, the instant detection of LV has become an urgent need. Here, a PDI-functionalized imine-based covalent organic framework (PDI-COF300) was prepared by the electrostatic self-assembly method as fluorescent probe for smartphone visual detection of LV, which exhibited excellent fluorescence quantum yield (82.68%), greater stability, high sensitivity with detection limit of 0.303 μM. Based on the results of molecular docking and Stern-Volmer equation, the LV detection by PDI-COF300 was mainly a static quenching process through π-π stacked hydrophobic interactions and fluorescence resonance energy transfer. Besides, PDI-COF300 was applied to LV detection in environmental medium and milk samples with recoveries from 85.56% to 108.34% and relative standard deviations <2.70%. This work also provided a new general strategy for using PDI-COF in smartphone devices and fluorescent papers for LV fluorescence detection and microanalysis.
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Affiliation(s)
- Xiaolong Hu
- College of Environment and Ecology, Hunan Agricultural University, Changsha, 410128, PR China; Key Laboratory for Rural Ecosystem Health in the Dongting Lake Area of Hunan Province, Changsha 410128, PR China; Yuelushan Laboratory, Hongqi Road, Changsha, Hunan, 410128, China
| | - Haibo Sun
- College of Environment and Ecology, Hunan Agricultural University, Changsha, 410128, PR China; Key Laboratory for Rural Ecosystem Health in the Dongting Lake Area of Hunan Province, Changsha 410128, PR China; Yuelushan Laboratory, Hongqi Road, Changsha, Hunan, 410128, China
| | - Yi Jiang
- College of Environment and Ecology, Hunan Agricultural University, Changsha, 410128, PR China; Key Laboratory for Rural Ecosystem Health in the Dongting Lake Area of Hunan Province, Changsha 410128, PR China; Yuelushan Laboratory, Hongqi Road, Changsha, Hunan, 410128, China
| | - Xiang Xiao
- College of Environment and Ecology, Hunan Agricultural University, Changsha, 410128, PR China; Key Laboratory for Rural Ecosystem Health in the Dongting Lake Area of Hunan Province, Changsha 410128, PR China; Yuelushan Laboratory, Hongqi Road, Changsha, Hunan, 410128, China
| | - Yunshan Liang
- College of Environment and Ecology, Hunan Agricultural University, Changsha, 410128, PR China; Key Laboratory for Rural Ecosystem Health in the Dongting Lake Area of Hunan Province, Changsha 410128, PR China; Yuelushan Laboratory, Hongqi Road, Changsha, Hunan, 410128, China
| | - Ming Lei
- College of Environment and Ecology, Hunan Agricultural University, Changsha, 410128, PR China; Key Laboratory for Rural Ecosystem Health in the Dongting Lake Area of Hunan Province, Changsha 410128, PR China; Yuelushan Laboratory, Hongqi Road, Changsha, Hunan, 410128, China
| | - Yuan Yang
- College of Environment and Ecology, Hunan Agricultural University, Changsha, 410128, PR China; Key Laboratory for Rural Ecosystem Health in the Dongting Lake Area of Hunan Province, Changsha 410128, PR China; Yuelushan Laboratory, Hongqi Road, Changsha, Hunan, 410128, China.
| | - Jiachao Zhang
- College of Environment and Ecology, Hunan Agricultural University, Changsha, 410128, PR China; Key Laboratory for Rural Ecosystem Health in the Dongting Lake Area of Hunan Province, Changsha 410128, PR China; Yuelushan Laboratory, Hongqi Road, Changsha, Hunan, 410128, China
| | - Pufeng Qin
- College of Environment and Ecology, Hunan Agricultural University, Changsha, 410128, PR China; Key Laboratory for Rural Ecosystem Health in the Dongting Lake Area of Hunan Province, Changsha 410128, PR China; Yuelushan Laboratory, Hongqi Road, Changsha, Hunan, 410128, China
| | - Lin Luo
- College of Environment and Ecology, Hunan Agricultural University, Changsha, 410128, PR China; Key Laboratory for Rural Ecosystem Health in the Dongting Lake Area of Hunan Province, Changsha 410128, PR China; Yuelushan Laboratory, Hongqi Road, Changsha, Hunan, 410128, China
| | - Zhibin Wu
- College of Environment and Ecology, Hunan Agricultural University, Changsha, 410128, PR China; Key Laboratory for Rural Ecosystem Health in the Dongting Lake Area of Hunan Province, Changsha 410128, PR China; Yuelushan Laboratory, Hongqi Road, Changsha, Hunan, 410128, China.
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Zhang S, Wang Z, Feng Y, Jiang C, Li H, Yu Z, Xiao Y, Hou R, Wan X, Liu Y. A novel fluorescent and photothermal probe based on nanozyme-mediated cascade reaction for detecting organophosphorus pesticide residues. Talanta 2024; 279:126620. [PMID: 39068829 DOI: 10.1016/j.talanta.2024.126620] [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: 04/08/2024] [Revised: 07/08/2024] [Accepted: 07/24/2024] [Indexed: 07/30/2024]
Abstract
In this study, a nanozyme (ZIF-Co-Cys) with high oxidase-like catalytic activity was prepared, and a ratiometric fluorescent/photothermal dual-mode probe was constructed for organophosphorus pesticides (OPs) detection based on the competitive effect of ZIF-Co-Cys and the enzymatic reaction product of acid phosphatase (ACP) on o-phenylenediamine and the inhibition effect of OPs on ACP activity. Using dimethyl dichloroviny phosphate (DDVP) as the model, both the fluorescence intensity ratio and the temperature change of the probe solution exhibited an excellent correlation with OPs concentration. The detection limits were 1.64 ng/mL and 0.084 ng/mL, respectively. Additionally, the detection of DDVP residues in real samples verified the outstanding anti-interference and accuracy of the probe. This work not only provided a complementary dual-mode method for the accurate and rapid detection of OPs residues in complex samples, but also supplied a new insight into the design of a multi-mode sensing platform based on the cascade reaction of nanozyme.
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Affiliation(s)
- Siyu Zhang
- State Key Laboratory of Tea Plant Biology and Utilization, Key Laboratory of Jianghuai Agricultural Product Fine Processing and Resource Utilization of Ministry of Agriculture and Rural Affairs, Department of Food Science and Engineering, Anhui Agricultural University, Hefei, 230036, China
| | - Zheng Wang
- State Key Laboratory of Tea Plant Biology and Utilization, Key Laboratory of Jianghuai Agricultural Product Fine Processing and Resource Utilization of Ministry of Agriculture and Rural Affairs, Department of Food Science and Engineering, Anhui Agricultural University, Hefei, 230036, China
| | - Yingying Feng
- State Key Laboratory of Tea Plant Biology and Utilization, Key Laboratory of Jianghuai Agricultural Product Fine Processing and Resource Utilization of Ministry of Agriculture and Rural Affairs, Department of Food Science and Engineering, Anhui Agricultural University, Hefei, 230036, China
| | - Chuang Jiang
- State Key Laboratory of Tea Plant Biology and Utilization, Key Laboratory of Jianghuai Agricultural Product Fine Processing and Resource Utilization of Ministry of Agriculture and Rural Affairs, Department of Food Science and Engineering, Anhui Agricultural University, Hefei, 230036, China
| | - Hui Li
- State Key Laboratory of Tea Plant Biology and Utilization, Key Laboratory of Jianghuai Agricultural Product Fine Processing and Resource Utilization of Ministry of Agriculture and Rural Affairs, Department of Food Science and Engineering, Anhui Agricultural University, Hefei, 230036, China
| | - Zhenyu Yu
- State Key Laboratory of Tea Plant Biology and Utilization, Key Laboratory of Jianghuai Agricultural Product Fine Processing and Resource Utilization of Ministry of Agriculture and Rural Affairs, Department of Food Science and Engineering, Anhui Agricultural University, Hefei, 230036, China
| | - Yaqing Xiao
- State Key Laboratory of Tea Plant Biology and Utilization, Key Laboratory of Jianghuai Agricultural Product Fine Processing and Resource Utilization of Ministry of Agriculture and Rural Affairs, Department of Food Science and Engineering, Anhui Agricultural University, Hefei, 230036, China
| | - Ruyan Hou
- State Key Laboratory of Tea Plant Biology and Utilization, Key Laboratory of Jianghuai Agricultural Product Fine Processing and Resource Utilization of Ministry of Agriculture and Rural Affairs, Department of Food Science and Engineering, Anhui Agricultural University, Hefei, 230036, China.
| | - Xiaochun Wan
- State Key Laboratory of Tea Plant Biology and Utilization, Key Laboratory of Jianghuai Agricultural Product Fine Processing and Resource Utilization of Ministry of Agriculture and Rural Affairs, Department of Food Science and Engineering, Anhui Agricultural University, Hefei, 230036, China.
| | - Yingnan Liu
- State Key Laboratory of Tea Plant Biology and Utilization, Key Laboratory of Jianghuai Agricultural Product Fine Processing and Resource Utilization of Ministry of Agriculture and Rural Affairs, Department of Food Science and Engineering, Anhui Agricultural University, Hefei, 230036, China.
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Mazur F, Han Z, Tjandra AD, Chandrawati R. Digitalization of Colorimetric Sensor Technologies for Food Safety. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024:e2404274. [PMID: 38932639 DOI: 10.1002/adma.202404274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2024] [Revised: 06/06/2024] [Indexed: 06/28/2024]
Abstract
Colorimetric sensors play a crucial role in promoting on-site testing, enabling the detection and/or quantification of various analytes based on changes in color. These sensors offer several advantages, such as simplicity, cost-effectiveness, and visual readouts, making them suitable for a wide range of applications, including food safety and monitoring. A critical component in portable colorimetric sensors involves their integration with color models for effective analysis and interpretation of output signals. The most commonly used models include CIELAB (Commission Internationale de l'Eclairage), RGB (Red, Green, Blue), and HSV (Hue, Saturation, Value). This review outlines the use of color models via digitalization in sensing applications within the food safety and monitoring field. Additionally, challenges, future directions, and considerations are discussed, highlighting a significant gap in integrating a comparative analysis toward determining the color model that results in the highest sensor performance. The aim of this review is to underline the potential of this integration in mitigating the global impact of food spoilage and contamination on health and the economy, proposing a multidisciplinary approach to harness the full capabilities of colorimetric sensors in ensuring food safety.
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Affiliation(s)
- Federico Mazur
- School of Chemical Engineering and Australian Centre for Nanomedicine (ACN), The University of New South Wales, Sydney, NSW, 2052, Australia
| | - Zifei Han
- School of Chemical Engineering and Australian Centre for Nanomedicine (ACN), The University of New South Wales, Sydney, NSW, 2052, Australia
| | - Angie Davina Tjandra
- School of Chemical Engineering and Australian Centre for Nanomedicine (ACN), The University of New South Wales, Sydney, NSW, 2052, Australia
| | - Rona Chandrawati
- School of Chemical Engineering and Australian Centre for Nanomedicine (ACN), The University of New South Wales, Sydney, NSW, 2052, Australia
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Liu SG, Wang H, Zhao Q, Gao W, Shi X, Liu Z. A portable colorimetric sensing platform for rapid and sensitive quantification of dichlorvos pesticide based on Fe-Mn bimetallic oxide nanozyme-participated highly efficient chromogenic catalysis. Anal Chim Acta 2024; 1292:342243. [PMID: 38309847 DOI: 10.1016/j.aca.2024.342243] [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: 11/17/2023] [Revised: 01/09/2024] [Accepted: 01/11/2024] [Indexed: 02/05/2024]
Abstract
BACKGROUND Dichlorvos (DDVP), as a highly effective insecticide, is widely used in agricultural production. However, DDVP residue in foodstuffs adversely affects human health. Conventional instrumental analysis can provide highly sensitive and accurate detection of DDVP, while the need of bulky and expensive equipment limits their application in resource-poor areas and on-site detection. Therefore, the development of easily portable sensing platforms for convenient, rapid and sensitive quantification of DDVP is very essential for ensuring food safety. RESULT A portable colorimetric sensing platform for rapid and sensitive quantification of DDVP is developed based on nanozyme-participated highly efficient chromogenic catalysis. The Fe-Mn bimetallic oxide (FeMnOx) nanozyme possesses excellently oxidase-like activity and can efficiently catalyze oxidation of 3, 3', 5, 5'-tetramethylbenzidine (TMB) into a blue oxide with a very low Michaelis constant (Km) of 0.0522 mM. The nanozyme-catalyzed chromogenic reaction can be mediated by DDVP via inhibiting the acetylcholinesterase (AChE) activity. Thus, trace DDVP concentration-dependent color evolution is achieved and DDVP can be sensitively detected by spectrophotometry. Furthermore, a smartphone-integrated 3D-printed miniature lightbox is fabricated as the colorimetric signal acquisition and processing device. Based on the FeMnOx nanozyme and smartphone-integrated lightbox system, the portable colorimetric sensing platform of DDVP is obtained and it has a wide linear range from 1 to 3000 ng mL-1 with a low limit of detection (LOD) of 0.267 ng mL-1 for DDVP quantification. SIGNIFICANCE This represents a new portable colorimetric sensing platform that can perform detection of DDVP in foodstuffs with simplicity, sensitivity, and low cost. The work not only offers an alternative to rapid and sensitive detection of DDVP, but also provides a new insight for the development of advanced sensors by the combination of nanozyme, 3D-printing and information technologies.
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Affiliation(s)
- Shi Gang Liu
- Laboratory of Micro & Nano Biosensing Technology in Food Safety, Hunan Provincial Key Laboratory of Food Science and Biotechnology, College of Food Science and Technology, Hunan Agricultural University, Changsha, 410128, China; Key Laboratory of Tea Science of Ministry of Education, National Research Center of Engineering Technology for Utilization of Functional Ingredients from Botanicals, College of Horticulture, Hunan Agricultural University, Changsha, 410128, China.
| | - Haoyu Wang
- Laboratory of Micro & Nano Biosensing Technology in Food Safety, Hunan Provincial Key Laboratory of Food Science and Biotechnology, College of Food Science and Technology, Hunan Agricultural University, Changsha, 410128, China
| | - Qian Zhao
- Laboratory of Micro & Nano Biosensing Technology in Food Safety, Hunan Provincial Key Laboratory of Food Science and Biotechnology, College of Food Science and Technology, Hunan Agricultural University, Changsha, 410128, China
| | - Wenli Gao
- Laboratory of Micro & Nano Biosensing Technology in Food Safety, Hunan Provincial Key Laboratory of Food Science and Biotechnology, College of Food Science and Technology, Hunan Agricultural University, Changsha, 410128, China
| | - Xingbo Shi
- Laboratory of Micro & Nano Biosensing Technology in Food Safety, Hunan Provincial Key Laboratory of Food Science and Biotechnology, College of Food Science and Technology, Hunan Agricultural University, Changsha, 410128, China.
| | - Zhonghua Liu
- Key Laboratory of Tea Science of Ministry of Education, National Research Center of Engineering Technology for Utilization of Functional Ingredients from Botanicals, College of Horticulture, Hunan Agricultural University, Changsha, 410128, China.
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Yu HM, Liang GX, Wang HY, Hang XM, Wang HH, Peng JX, Wang L. A MnO 2 nanosheet-mediated CRISPR/Cas12a system for the detection of organophosphorus pesticides in environmental water. Analyst 2024; 149:729-734. [PMID: 38131397 DOI: 10.1039/d3an02020g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Abstract
Nowadays, easy, convenient, and sensitive sensing strategies are still critical for organophosphorus pesticides in environmental water samples. Herein, a novel organophosphorus pesticide (OP) assay based on acetylcholinesterase (AChE) and a MnO2 nanosheet-mediated CRISPR/Cas12a reaction is reported. The single-strand DNA (ssDNA) activator of CRISPR/Cas12a was simply adsorbed on the MnO2 nanosheets as the nanoswitches of the assay. In the absence of target OPs, AChE hydrolyzed acetylcholine (ATCh) to thiocholine (TCh), which reduced the MnO2 nanosheets to Mn2+, resulting in the release of the activator followed by activation of the CRISPR/Cas12a system. The activated Cas12a thereafter nonspecifically cleaved the FAM/BHQ1-labeled ssDNA (FQ-reporter), producing a fluorescence signal. Upon the addition of target OPs, the hydrolysis of ATCh by AChE was inhibited owing to OPs combining with AChE, and thus effective quantification of OPs could be achieved by measuring the fluorescence changes of the system. As a proof of concept, dichlorvos (DDVP) was chosen as a model OP analyte to address the feasibility of the proposed method. Attributed to the excellent trans-cleavage activity of Cas12a, the fluorescent biosensor exhibits a satisfactory limit of detection (LOD) for DDVP at 0.135 ng mL-1. In addition, the excellent recoveries for the detection of DDVP in environmental water samples demonstrate the applicability of the proposed assay in real sample research.
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Affiliation(s)
- Hao-Ming Yu
- School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, P. R. China
| | - Guo-Xi Liang
- School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, P. R. China
| | - Hui-Yi Wang
- School of Pharmacy, Jiangsu University, Zhenjiang 212013, P. R. China.
| | - Xiao-Min Hang
- School of Pharmacy, Jiangsu University, Zhenjiang 212013, P. R. China.
| | - Hong-Hong Wang
- School of Pharmacy, Jiangsu University, Zhenjiang 212013, P. R. China.
| | - Jia-Xin Peng
- School of Pharmacy, Jiangsu University, Zhenjiang 212013, P. R. China.
| | - Li Wang
- School of Pharmacy, Jiangsu University, Zhenjiang 212013, P. R. China.
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Zhao F, Li M, Wang L, Wang M. A Colorimetric Sensor Enabled with Heterogeneous Nanozymes with Phosphatase-like Activity for the Residue Analysis of Methyl Parathion. Foods 2023; 12:2980. [PMID: 37569249 PMCID: PMC10418809 DOI: 10.3390/foods12152980] [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: 06/20/2023] [Revised: 07/28/2023] [Accepted: 07/31/2023] [Indexed: 08/13/2023] Open
Abstract
In this study, a colorimetric sensor was developed for the detection of organophosphorus pesticides (OPs) using a heterogeneous nanozyme with phosphatase-like activity. Herein, this heterogeneous nanozyme (Au-pCeO2) was obtained by the modification of gold nanoparticles on porous cerium oxide nanorods, resulting in synergistic hydrolysis performance for OPs. Taking methyl parathion (MP) as the target pesticide, the catalytic performance and mechanism of Au-pCeO2 were investigated. Based on the phosphatase-like Au-pCeO2, a dual-mode colorimetric sensor for MP was put forward by the analysis of the hydrolysis product via a UV-visible spectrophotometer and a smartphone. Under optimum conditions, this dual-mode strategy can be used for the on-site analysis of MP with concentrations of 5 to 200 μM. Additionally, it can be applied for MP detection in pear and lettuce samples with recoveries ranging from 85.27% to 115.87% and relative standard deviations (RSDs) not exceeding 6.20%, which can provide a simple and convenient method for OP detection in agricultural products.
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Affiliation(s)
| | | | | | - Min Wang
- College of Chemistry and Materials Engineering, Beijing Technology and Business University, Beijing 100048, China; (F.Z.); (M.L.); (L.W.)
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