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Wang L, Lu X, Zhang Y, Wang Y, Ding Y, Liu M, Fu S, Ge W. Colorimetric aptasensor utilizing MOF-235 with exceptional peroxidase-like activity for the detection of oxytetracycline residues in raw milk. Food Chem 2024; 447:138966. [PMID: 38479142 DOI: 10.1016/j.foodchem.2024.138966] [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: 11/04/2023] [Revised: 02/23/2024] [Accepted: 03/05/2024] [Indexed: 04/10/2024]
Abstract
In this work, a simple, convenient and cost-effective colorimetric aptasensor was successfully constructed for the detection of antibiotic residues in raw milk based on the property that aptamer (Apt) synergistically enhances the catalase-like activity of MOF-235. Under optimised conditions, the proposed colorimetric aptasensor exhibited a wide detection range (15-1500 nM) with a low detection limit (6.92 nM). Furthermore, the proposed aptasensor demonstrated high selectivity, good resistance to interference and storage stability. The proposed aptasensor was validated by spiking recovery in camel milk, cow milk and goat milk with satisfactory recoveries, which demonstrated the great potential of the aptasensor for further application in real food samples, and also suggested that MOF-235 can be used as a potential universal platform to build a sensitive detection platform for other targets.
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Affiliation(s)
- Long Wang
- Northwest A&F Univ, Coll Food Sci & Engn, Shaanxi Engn Res Ctr Dairy Prod Qual Safety & Hlth, Yangling 712100, PR China
| | - Xia Lu
- Northwest A&F Univ, Coll Food Sci & Engn, Shaanxi Engn Res Ctr Dairy Prod Qual Safety & Hlth, Yangling 712100, PR China
| | - Yan Zhang
- Fuping County Inspection and Testing Center, Shaanxi Goat Milk Product Quality Supervision and Inspection Center, Fuping 711700, PR China
| | - Yuxin Wang
- Shaanxi Zhongjian Test Technology Co., Ltd, Xi'an, Shaanxi 71000, PR China
| | - Yi Ding
- Northwest A&F Univ, Coll Food Sci & Engn, Shaanxi Engn Res Ctr Dairy Prod Qual Safety & Hlth, Yangling 712100, PR China
| | - Mengjia Liu
- Northwest A&F Univ, Coll Food Sci & Engn, Shaanxi Engn Res Ctr Dairy Prod Qual Safety & Hlth, Yangling 712100, PR China
| | - Shangchen Fu
- Northwest A&F Univ, Coll Food Sci & Engn, Shaanxi Engn Res Ctr Dairy Prod Qual Safety & Hlth, Yangling 712100, PR China
| | - Wupeng Ge
- Northwest A&F Univ, Coll Food Sci & Engn, Shaanxi Engn Res Ctr Dairy Prod Qual Safety & Hlth, Yangling 712100, PR China.
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Zhou J, Liu Y, Du X, Gui Y, He J, Xie F, Cai J. Recent Advances in Design and Application of Nanomaterials-Based Colorimetric Biosensors for Agri-food Safety Analysis. ACS OMEGA 2023; 8:46346-46361. [PMID: 38107919 PMCID: PMC10720297 DOI: 10.1021/acsomega.3c06409] [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: 08/28/2023] [Revised: 10/12/2023] [Accepted: 11/03/2023] [Indexed: 12/19/2023]
Abstract
A colorimetric sensor detects an analyte by utilizing the optical properties of the sensor unit, such as absorption or reflection, to generate a structural color that serves as the output signal to detect an analyte. Detecting the refractive index of an analyte by recording the color change of the sensor structure on its surface has several advantages, including simple operation, low cost, suitability for onsite analysis, and real-time detection. Colorimetric sensors have drawn much attention owing to their rapidity, simplicity, high sensitivity and selectivity. This Review discusses the use of colorimetric sensors in the food industry, including their applications for detecting food contaminants. The Review also provides insight into the scope of future research in this area.
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Affiliation(s)
- Jiaojiao Zhou
- National
R&D Center for Se-Rich Agricultural Products Processing, Hubei
Engineering Research Center for Deep Processing of Green Se-Rich Agricultural
Products, School of Modern Industry for Selenium Science and Engineering, Wuhan Polytechnic University, Wuhan 430023, China
| | - Yuantao Liu
- National
R&D Center for Se-Rich Agricultural Products Processing, Hubei
Engineering Research Center for Deep Processing of Green Se-Rich Agricultural
Products, School of Modern Industry for Selenium Science and Engineering, Wuhan Polytechnic University, Wuhan 430023, China
| | - Xiaoping Du
- Ankang
R&D Center for Se-enriched Products, Key Laboratory of Se-enriched
Products Development and Quality Control, Ministry of Agriculture and Rural Affairs, Ankang Shaanxi 725000, China
| | - Yue Gui
- National
R&D Center for Se-Rich Agricultural Products Processing, Hubei
Engineering Research Center for Deep Processing of Green Se-Rich Agricultural
Products, School of Modern Industry for Selenium Science and Engineering, Wuhan Polytechnic University, Wuhan 430023, China
| | - Jiangling He
- National
R&D Center for Se-Rich Agricultural Products Processing, Hubei
Engineering Research Center for Deep Processing of Green Se-Rich Agricultural
Products, School of Modern Industry for Selenium Science and Engineering, Wuhan Polytechnic University, Wuhan 430023, China
| | - Fang Xie
- National
R&D Center for Se-Rich Agricultural Products Processing, Hubei
Engineering Research Center for Deep Processing of Green Se-Rich Agricultural
Products, School of Modern Industry for Selenium Science and Engineering, Wuhan Polytechnic University, Wuhan 430023, China
| | - Jie Cai
- National
R&D Center for Se-Rich Agricultural Products Processing, Hubei
Engineering Research Center for Deep Processing of Green Se-Rich Agricultural
Products, School of Modern Industry for Selenium Science and Engineering, Wuhan Polytechnic University, Wuhan 430023, China
- Key
Laboratory for Deep Processing of Major Grain and Oil, Ministry of
Education, Hubei Key Laboratory for Processing and Transformation
of Agricultural Products, Wuhan Polytechnic
University, Wuhan 430023, China
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Díaz-García V, Haensgen A, Inostroza L, Contreras-Trigo B, Oyarzun P. Novel Microsynthesis of High-Yield Gold Nanoparticles to Accelerate Research in Biosensing and Other Bioapplications. BIOSENSORS 2023; 13:992. [PMID: 38131752 PMCID: PMC10742281 DOI: 10.3390/bios13120992] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 11/06/2023] [Accepted: 11/16/2023] [Indexed: 12/23/2023]
Abstract
Gold nanoparticles (AuNPs) exhibit unique properties that make them appealing for applications in biosensing and other emerging fields. Despite the availability of numerous synthesis methods, important questions remain to be addressed regarding the volume effect on the synthesis yield and quality of AuNPs in the light of biosensing research. The present study addresses these issues by developing a novel microvolumetric citrate-reduction method to improve the synthesis of AuNPs, which were characterized by electronic microscopy, energy dispersive spectroscopy, zeta potential and colorimetric analysis. A comparison of the novel microsynthesis method with the standard Turkevich method demonstrated its superior performance in terms of yield, monodispersity, rapidity (in one step), reproducibility, and stability. The analytical behavior of AuNPs-based aptasensors prepared by microsynthesis was investigated using kanamycin detection and showed higher reproducibility and improved detection limits (3.4 times) compared to those of Turkevich AuNPs. Finally, the effect of pH was studied to demonstrate the suitability of the method for the screening of AuNP synthesis parameters that are of direct interest in biosensing research; the results showed an optimal pH range between 5.0 and 5.5. In summary, the approach described herein has the potential to improve research capabilities in biosensing, with the added benefits of lowering costs and minimizing waste generation in line with current trends in green nanotechnology.
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Affiliation(s)
- Víctor Díaz-García
- Facultad de Ingeniería, Arquitectura y Diseño, Universidad San Sebastián, Lientur 1457, Concepción 4080871, Chile; (A.H.); (L.I.); (B.C.-T.)
| | | | | | | | - Patricio Oyarzun
- Facultad de Ingeniería, Arquitectura y Diseño, Universidad San Sebastián, Lientur 1457, Concepción 4080871, Chile; (A.H.); (L.I.); (B.C.-T.)
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4
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A novel label-free dual-mode aptasensor based on the mutual regulation of silver nanoclusters and MoSe 2 nanosheets for reliable detection of ampicillin. Anal Chim Acta 2023; 1251:340997. [PMID: 36925307 DOI: 10.1016/j.aca.2023.340997] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Revised: 02/15/2023] [Accepted: 02/21/2023] [Indexed: 02/25/2023]
Abstract
Current methods for the rapid detection of trace antibiotics in the environment remains problems of low accuracy and false negative or false positive, making the development of fast, and accurate, and reliable methods for antibiotic testing a major challenge that needs to be addressed. Herein, we developed a novel label-free colorimetric and fluorescent dual-mode aptasensor assembled by the strong interaction of layered MoSe2 nanosheets (MoSe2 NSs) with ampicillin (AMP) aptamer functionalized silver nanoclusters (Apt-AgNCs) that specifically bind AMP to allow the sensitive and selective detection of AMP. Apt-AgNCs could be adsorbed on the surface of MoSe2 NSs via van der Waals force to form a nanocomposite, Apt-AgNCs/MoSe2 NSs. Interestingly, Apt-AgNCs/MoSe2 NSs act together to construct dual mode aptasensor through modulation of the intrinsic peroxidase activity of MoSe2 NSs and the fluorescence of Apt-AgNCs. In the presence of AMP, Apt-AgNCs could specifically bind AMP, triggering desorption from the MoSe2 NSs surface, leading to a decrease in the peroxidase activity of the system with the recovery in Apt-AgNCs fluorescence. The dual-signal aptasensor exhibited good linear colorimetric and fluorescence responses in the AMP concentration ranges of 0.115-2.00 μM and 6-100 nM, respectively. Furthermore, the aptasensor was successfully measured AMP levels in commercially-bought milk and lake water with satisfactory results. Unlike single-signal aptasensors, the constructed dual-signal aptasensor could not only improve the detection precision, but also reduce the false positive or false negative results. These promising results suggest that the dual-readout strategy as demonstrated is general mode for the detection of other antibiotics or compounds using various aptamers functionalized AgNCs in concert with MoSe2 NSs.
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Tang J, Zheng X, Jiang S, Cao M, Wang S, Zhou Z, Nie X, Fang Y, Le T. Dual fluorescent aptasensor for simultanous and quantitative detection of sulfadimethoxine and oxytetracycin residues in animal-derived foods tissues based on mesoporous silica. Front Nutr 2022; 9:1077893. [PMID: 36618689 PMCID: PMC9811004 DOI: 10.3389/fnut.2022.1077893] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Accepted: 12/06/2022] [Indexed: 12/24/2022] Open
Abstract
Herein, we developed a dual fluorescent aptasensor based on mesoporous silica to simultaneously detect sulfadimethoxine (SDM) and oxytetracycline (OTC) in animal-derived foods. We immobilized two types of aptamers modified with FAM and CY5 on the silica surface by base complementary pairing reaction with the cDNA modified with a carboxyl group and finally formed the aptasensor detection platform. Under optimal conditions, the detection range of the aptasensor for SDM and OTC was 3-150 ng/mL (R 2 = 0.9831) and 5-220 ng/mL (R 2 = 0.9884), respectively. The limits of detection for SDM and OTC were 2.2 and 1.23 ng/mL, respectively. The limits of quantification for SDM and OTC were 7.3 and 4.1 ng/mL, respectively. Additionally, the aptasensor was used to analyze spiked samples. The average recovery rates ranged from 91.75 to 114.65% for SDM and 89.66 to 108.94% for OTC, and all coefficients of variation were below 15%. Finally, the performance and practicability of our aptasensor were confirmed by HPLC, demonstrating good consistency. In summary, this study was the first to use the mesoporous silica-mediated fluorescence aptasensor for simultaneous detection of SDM and OTC, offering a new possibility to analyze other antibiotics, biotoxins, and biomolecules.
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Affiliation(s)
- Jiaming Tang
- College of Life Sciences, Chongqing Normal University, Chongqing, China
| | - Xiaoling Zheng
- College of Life Sciences, Chongqing Normal University, Chongqing, China
| | - Shuang Jiang
- College of Life Sciences, Chongqing Normal University, Chongqing, China
| | - Mingdong Cao
- College of Life Sciences, Chongqing Normal University, Chongqing, China
| | - Sixian Wang
- College of Life Sciences, Chongqing Normal University, Chongqing, China
| | - Zhaoyang Zhou
- College of Life Sciences, Chongqing Normal University, Chongqing, China
| | - Xunqing Nie
- College of Life Sciences, Chongqing Normal University, Chongqing, China
| | - Yu Fang
- College of Life Sciences, Chongqing Normal University, Chongqing, China
| | - Tao Le
- College of Life Sciences, Chongqing Normal University, Chongqing, China
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Contreras-Trigo B, Díaz-García V, Oyarzún P. A Novel Preanalytical Strategy Enabling Application of a Colorimetric Nanoaptasensor for On-Site Detection of AFB1 in Cattle Feed. SENSORS (BASEL, SWITZERLAND) 2022; 22:9280. [PMID: 36501982 PMCID: PMC9735511 DOI: 10.3390/s22239280] [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: 10/11/2022] [Revised: 11/14/2022] [Accepted: 11/18/2022] [Indexed: 06/17/2023]
Abstract
Aflatoxin contamination of cattle feed is responsible for serious adverse effects on animal and human health. A number of approaches have been reported to determine aflatoxin B1 (AFB1) in a variety of feed samples using aptasensors. However, rapid analysis of AFB1 in these matrices remains to be addressed in light of the complexity of the preanalytical process. Herein we describe an optimization on the preanalytical stage to minimize the sample processing steps required to perform semi-quantitative colorimetric detection of AFB1 in cattle feed using a gold nanoparticle-based aptasensor (nano-aptasensor). The optical behavior of the nano-aptasensor was characterized in different organics solvents, with acetonitrile showing the least interference on the activity of the nan-aptasensor. This solvent was selected as the extractant agent for AFB1-containing feed, allowing for the first time, direct colorimetric detection from the crude extract (detection limit of 5 µg/kg). Overall, these results lend support to the application of this technology for the on-site detection of AFB1 in the dairy sector.
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Lepore M, Delfino I. Optical Sensors Technology and Applications. SENSORS (BASEL, SWITZERLAND) 2022; 22:7905. [PMID: 36298255 PMCID: PMC9611779 DOI: 10.3390/s22207905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 09/26/2022] [Indexed: 06/16/2023]
Abstract
Optical methods are non-invasive tools, and their use in various fields, including sensing applications, is continuously increasing, which is thanks to the continuous development of innovative low-cost sources and detectors [...].
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Affiliation(s)
- Maria Lepore
- Dipartimento di Medicina Sperimentale, Università della Campania “Luigi Vanvitelli”, I-80138 Napoli, Italy
| | - Ines Delfino
- Dipartimento di Scienze Ecologiche e Biologiche, Università della Tuscia, I-01100 Viterbo, Italy
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