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Zhao H, Li R, Zhang T, Zhou L, Wang L, Han Z, Liu S, Zhang J. Platinum nanoflowers stabilized with aloe polysaccharides for detection of organophosphorus pesticides in food. Int J Biol Macromol 2023; 253:126552. [PMID: 37660849 DOI: 10.1016/j.ijbiomac.2023.126552] [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: 06/15/2023] [Revised: 08/12/2023] [Accepted: 08/19/2023] [Indexed: 09/05/2023]
Abstract
Organophosphorus pesticides can inhibit the activity of acetylcholinesterase and cause neurological diseases. Therefore, it is crucial to establish an efficient and sensitive platform for organophosphorus pesticide detection. In this work, we extracted aloe polysaccharide (AP) from aloe vera with the number average molecular weight of 27760 Da and investigated its reducing property. We prepared aloe polysaccharide stabilized platinum nanoflowers (AP-Ptn NFs), their particle size ranges were 29.4-67.3 nm. Furthermore, AP-Ptn NFs exhibited excellent oxidase-like activity and the catalytic kinetics followed the typical Michaelis-Menten equation. They showed strong affinity for 3,3',5,5'-tetramethylbenzidine substrates. More importantly, we developed a simple and effective strategy for the sensitive colorimetric detection of organophosphorus pesticides in food using biocompatible AP-Ptn NFs. The detection range was 0.5 μg/L - 140 mg/L, which was wider than many previously reported nanozyme detection systems. This colorimetric biosensor had good selectivity and good promise for bioassay analysis.
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Affiliation(s)
- Han Zhao
- Hebei Key Laboratory of Nano-biotechnology, Hebei Key Laboratory of Applied Chemistry, College of Environmental and Chemical Engineering, Yanshan University, Qinhuangdao 066004, China; State Key Laboratory of Metastable Materials Science and Technology, Yanshan University, Qinhuangdao 066004, China
| | - Ruyu Li
- Hebei Key Laboratory of Nano-biotechnology, Hebei Key Laboratory of Applied Chemistry, College of Environmental and Chemical Engineering, Yanshan University, Qinhuangdao 066004, China
| | - Tingting Zhang
- Hebei Key Laboratory of Nano-biotechnology, Hebei Key Laboratory of Applied Chemistry, College of Environmental and Chemical Engineering, Yanshan University, Qinhuangdao 066004, China
| | - Lijie Zhou
- Hebei Key Laboratory of Nano-biotechnology, Hebei Key Laboratory of Applied Chemistry, College of Environmental and Chemical Engineering, Yanshan University, Qinhuangdao 066004, China
| | - Longgang Wang
- Hebei Key Laboratory of Nano-biotechnology, Hebei Key Laboratory of Applied Chemistry, College of Environmental and Chemical Engineering, Yanshan University, Qinhuangdao 066004, China; State Key Laboratory of Metastable Materials Science and Technology, Yanshan University, Qinhuangdao 066004, China.
| | - Zengsheng Han
- Hebei Key Laboratory of Nano-biotechnology, Hebei Key Laboratory of Applied Chemistry, College of Environmental and Chemical Engineering, Yanshan University, Qinhuangdao 066004, China
| | - Sihang Liu
- State Key Laboratory of Advanced Optical Communication Systems and Networks, Key Laboratory for Thin Film and Microfabrication of the Ministry of Education, UM-SJTU Joint Institute, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Jin Zhang
- Shanxi Datong University, College of Chemical and Environmental Engineering, Datong 037009, China
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Liu DM, Dong C. Gold nanoparticles as colorimetric probes in food analysis: Progress and challenges. Food Chem 2023; 429:136887. [PMID: 37478597 DOI: 10.1016/j.foodchem.2023.136887] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 07/03/2023] [Accepted: 07/12/2023] [Indexed: 07/23/2023]
Abstract
The rapid, sensitive and reliable food safety control is urgently needed due to the harmful effects of the food contaminants on human health. Colorimetric approach has exhibited promising potential for the detection of food contaminants due to their easy preparation, rapid detection, high sensitivity, and naked-eye sensing. In recent years, AuNPs-based colorimetric probes have been extensively explored for food analysis. The present article reviews the development of AuNPs-based colorimetric probes for colorimetric sensing and their applications in food analysis. It generally summarizes the properties of AuNPs and introduces the preparation and functionalization methods of AuNPs. An overview of the colorimetric sensing mechanisms of AuNPs-based probes and their applications in analysis of food contaminants are also provided. Although AuNPs-based colorimetric probes show many advantages in detection of food contaminants, challenges remain in terms of complexity of food matrices, multiple analytes detection in a single go, and testing conditions interference.
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Affiliation(s)
- Dong-Mei Liu
- Key Lab for Special Functional Materials, Ministry of Education, National & Local Joint Engineering Research Center for High-efficiency Display and Lighting Technology, School of Materials Science and Engineering, Collaborative Innovation Center of Nano Functional Materials and Applications, Henan University, Kaifeng 475004, PR China
| | - Chen Dong
- Key Laboratory of Photovoltaic Materials, Henan University, Kaifeng, 475004 PR China.
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Liu S, Zhao J, Wu J, Wang L, Hu J, Li S, Zhang H. A deep learning-enabled smartphone platform for rapid and sensitive colorimetric detection of dimethoate pesticide. Anal Bioanal Chem 2023; 415:7127-7138. [PMID: 37770666 DOI: 10.1007/s00216-023-04978-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 09/20/2023] [Accepted: 09/21/2023] [Indexed: 09/30/2023]
Abstract
A novel deep learning-enabled smartphone platform is developed to assist a colorimetric aptamer biosensor for fast and highly sensitive detection of dimethoate. The colorimetric determination of dimethoate is based on the specific binding of dimethoate and aptamer, which leads to the aggregation of AuNPs in high-concentration NaCl solution, resulting in an obvious color change from red to blue. This color change provides sufficient data for self-learning enabled by a convolutional neural network (CNN) model, which is established to predict dimethoate concentration based on images acquired from a smartphone. To enhance user-friendliness for non-experts, the CNN model is then embedded into a smartphone app, enabling offline detection of dimethoate pesticide in real environments within just 15 min using a pre-configured colorimetric probe. The developed platform exhibits superior performance, achieving a regression coefficient of 0.9992 in the concentration range of 0-10 μM. Moreover, the app's performance is found to be consistent with the ELISA kit. These remarkable findings demonstrate the potential of combining colorimetric biosensors with smartphone-based deep learning methods for the development of portable and affordable tools for pesticide detection.
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Affiliation(s)
- Shuai Liu
- College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, 450002, China
| | - Jingkai Zhao
- College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, 450002, China
| | - Junfeng Wu
- College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, 450002, China
- Henan International Joint Laboratory of Laser Technology in Agriculture Sciences, Zhengzhou, 450002, China
| | - Ling Wang
- College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, 450002, China
- Henan International Joint Laboratory of Laser Technology in Agriculture Sciences, Zhengzhou, 450002, China
| | - Jiandong Hu
- College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, 450002, China
- Henan International Joint Laboratory of Laser Technology in Agriculture Sciences, Zhengzhou, 450002, China
- State Key Laboratory of Wheat and Maize Crop Science, Zhengzhou, 450002, China
| | - Shixin Li
- College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, 450002, China.
- Henan International Joint Laboratory of Laser Technology in Agriculture Sciences, Zhengzhou, 450002, China.
| | - Hao Zhang
- College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, 450002, China.
- Henan International Joint Laboratory of Laser Technology in Agriculture Sciences, Zhengzhou, 450002, China.
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Malmir M, Shemirani F. Gold nanoparticles coated with PVP as a novel colorimetric sensor for sensitive and selective determination of Atenolol. Heliyon 2023; 9:e22675. [PMID: 38213583 PMCID: PMC10782165 DOI: 10.1016/j.heliyon.2023.e22675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 11/15/2023] [Accepted: 11/16/2023] [Indexed: 01/13/2024] Open
Abstract
In this work, gold nanoparticles coated with polyvinylpyrrolidone (PVP-AuNPs) were used as a colorimetric probe for the sensitive, selective, simple, and rapid determination of atenolol (ATN). Indeed, atenolol triggered the aggregation of PVP-AuNPs via hydrogen bonding, electrostatic interactions, and dipole-dipole forces with PVP on the surface of AuNPs, causing the colloidal solution's color to shift from red to blue. SEM, TEM, FT-IR, UV-Vis, zeta potential, and other methods were used to characterise the PVP-AuNPs that were created as well as their aggregates. An excellent linear relationship between the absorption ratio (A690/A521) and the concentration of ATN in the range of 0.07-3.0 μM with a detection limit of 0.023 μM was discovered by optimising the experimental settings. The influence of potential interfering species on the measurement of ATN was investigated, and it was discovered that the developed colorimetric sensor had satisfactory selectivity. Finally, the presented method was used to measure ATN in tablet and blood plasma samples, and the obtained recovery values showed great promise for the use of the proposed sensor in clinical applications.
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Affiliation(s)
- Maryam Malmir
- Department of Chemistry, College of Science, University of Tehran, P.O. Box 14155–6455, Tehran, Iran
| | - Farzaneh Shemirani
- Department of Chemistry, College of Science, University of Tehran, P.O. Box 14155–6455, Tehran, Iran
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Yang Y, Zeng X, Fu C, Tan L, Yang N, Liu Y, Shen Q, Wei J, Yu C, Lu C. Paper-based microfluidics and tailored gold nanoparticles for visual colorimetric detection of multiplex allergens. Anal Chim Acta 2023; 1272:341497. [PMID: 37355331 DOI: 10.1016/j.aca.2023.341497] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 06/05/2023] [Accepted: 06/06/2023] [Indexed: 06/26/2023]
Abstract
The highly efficient and accurate recognition of targeted allergens is an essential element in the diagnosis of allergic diseases and follow-up desensitization treatment in clinic. The current clinical methods widely used to detect sIgE are high cost, time-consuming procedures, and bulky equipment. Herein, a multiplex microfluidic paper-based device (multi-μPAD) was developed that combined with tailored gold nanoparticles for simultaneously visual, colorimetric detection of different allergens in serum. This device could be used as quantitative detection of sIgE with LOD as low as 0.246 KUA/L in colorimetric method. In vitro results also showed that this device possessed good repeatability, high accuracy and incredible stability in different pH (6.0-7.4) and temperature (24-37 °C), as well as long-term storage within 90-day. Finally, this method was successfully utilized for assessing clinical multi-sample screening in 35 allergic patients. After the addition of the samples from allergic patients, the agreement rate of clinical results with commercial enzyme-linked immunosorbent assay (ELISA) kit reached more than 97%, which further indicated that this device had the advantages of efficient, accurate and sensitive to screen various allergens in real clinical serum samples. Therefore, by simply altering antigens and antibodies, this device can also be used for high-throughput detection of other allergens, making it considerable potential for clinical diagnosis of allergic diseases.
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Affiliation(s)
- Yuxing Yang
- Precision Medicine Center, The First Clinical Medical College of Gannan Medical University, Ganzhou, 341001, China
| | - Xiaofei Zeng
- Precision Medicine Center, The First Clinical Medical College of Gannan Medical University, Ganzhou, 341001, China
| | - Chan Fu
- Key Laboratory of Flexible Electronics (KLOFE), School of Flexible Electronics (Future Technologies) & Institute of Advanced Materials (IAM), Nanjing Tech University (NanjingTech), 30 South Puzhu Road, Nanjing, 211816, China
| | - Lingxiao Tan
- Respiratory Department, Children's Hospital of Nanjing Medical University, Nanjing, 210008, China
| | - Naidi Yang
- Key Laboratory of Flexible Electronics (KLOFE), School of Flexible Electronics (Future Technologies) & Institute of Advanced Materials (IAM), Nanjing Tech University (NanjingTech), 30 South Puzhu Road, Nanjing, 211816, China
| | - Yongxin Liu
- Key Laboratory of Flexible Electronics (KLOFE), School of Flexible Electronics (Future Technologies) & Institute of Advanced Materials (IAM), Nanjing Tech University (NanjingTech), 30 South Puzhu Road, Nanjing, 211816, China
| | - Qian Shen
- Key Laboratory of Flexible Electronics (KLOFE), School of Flexible Electronics (Future Technologies) & Institute of Advanced Materials (IAM), Nanjing Tech University (NanjingTech), 30 South Puzhu Road, Nanjing, 211816, China
| | - Jifu Wei
- Department of Pharmacy, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, 210009, China; Research Division of Clinical Pharmacology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210029, China.
| | - Changmin Yu
- Key Laboratory of Flexible Electronics (KLOFE), School of Flexible Electronics (Future Technologies) & Institute of Advanced Materials (IAM), Nanjing Tech University (NanjingTech), 30 South Puzhu Road, Nanjing, 211816, China; State Key Laboratory of Coordination Chemistry, Nanjing University, Nanjing, 210023, China.
| | - Chen Lu
- Precision Medicine Center, The First Clinical Medical College of Gannan Medical University, Ganzhou, 341001, China.
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Polycation-stabilized PDADMAC-gold nanoparticles as a highly sensitive colorimetric sensor for the detection of the chlorpyrifos pesticide. Colloid Polym Sci 2023. [DOI: 10.1007/s00396-023-05058-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
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