1
|
Fernández Blanco A, Hernández Pérez M, Moreno Trigos Y, García-Hernández J. Development of Optical Label-Free Biosensor Method in Detection of Listeria monocytogenes from Food. Sensors (Basel) 2023; 23:5570. [PMID: 37420736 DOI: 10.3390/s23125570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Revised: 06/01/2023] [Accepted: 06/09/2023] [Indexed: 07/09/2023]
Abstract
The present work describes an alternative method for detecting and identifying Listeria monocytogenes in food samples by developing a nanophotonic biosensor containing bioreceptors and optical transducers. The development of photonic sensors for the detection of pathogens in the food industry involves the implementation of procedures for selecting probes against the antigens of interest and the functionalization of the sensor surfaces on which the said bioreceptors are located. As a previous step to functionalizing the biosensor, an immobilization control of these antibodies on silicon nitride surfaces was carried out to check the effectiveness of in plane immobilization. On the one hand, it was observed that a Listeria monocytogenes-specific polyclonal antibody has a greater binding capacity to the antigen at a wide range of concentrations. A Listeria monocytogenes monoclonal antibody is more specific and has a greater binding capacity only at low concentrations. An assay for evaluating selected antibodies against particular antigens of Listeria monocytogenes bacteria was designed to determine the binding specificity of each probe using the indirect ELISA detection technique. In addition, a validation method was established against the reference method for many replicates belonging to different batches of meat-detectable samples, with a medium and pre-enrichment time that allowed optimal recovery of the target microorganism. Moreover, no cross-reactivity with other nontarget bacteria was observed. Thus, this system is a simple, highly sensitive, and accurate platform for L. monocytogenes detection.
Collapse
Affiliation(s)
| | - Manuel Hernández Pérez
- Centro Avanzado de Microbiología de Alimentos, Biotechnology Department, Universitat Politècnica de València, 46022 Valencia, Spain
| | - Yolanda Moreno Trigos
- Instituto de Ingeniería de Agua y del Medioambiente, Universitat Politècnica de València, 46022 Valencia, Spain
| | - Jorge García-Hernández
- Centro Avanzado de Microbiología de Alimentos, Biotechnology Department, Universitat Politècnica de València, 46022 Valencia, Spain
| |
Collapse
|
2
|
Zhang X, Liu M, Yang M, Cheng W, Xiang J, Zhu W, Chen X. Functional lightweight polystyrene@polydopamine nanoparticle for high-performance ELISA. Talanta 2023; 252:123871. [DOI: 10.1016/j.talanta.2022.123871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Revised: 08/17/2022] [Accepted: 08/22/2022] [Indexed: 11/25/2022]
|
3
|
Li L, Xing Z, Tang Q, Yang L, Dai L, Wang H, Yan T, Xu W, Ma H, Wei Q. Enzyme-Free Colorimetric Immunoassay for Protein Biomarker Enabled by Loading and Disassembly Behaviors of Polydopamine Nanoparticles. ACS Appl Bio Mater 2020; 3:8841-8848. [DOI: 10.1021/acsabm.0c01167] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Li Li
- Collaborative Innovation Center for Green Chemical Manufacturing and Accurate Detection, Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, P. R. China
| | - Zhenyuan Xing
- Collaborative Innovation Center for Green Chemical Manufacturing and Accurate Detection, Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, P. R. China
| | - Qiaorong Tang
- Collaborative Innovation Center for Green Chemical Manufacturing and Accurate Detection, Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, P. R. China
| | - Lei Yang
- Collaborative Innovation Center for Green Chemical Manufacturing and Accurate Detection, Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, P. R. China
| | - Li Dai
- Collaborative Innovation Center for Green Chemical Manufacturing and Accurate Detection, Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, P. R. China
| | - Huan Wang
- Collaborative Innovation Center for Green Chemical Manufacturing and Accurate Detection, Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, P. R. China
| | - Tao Yan
- Collaborative Innovation Center for Green Chemical Manufacturing and Accurate Detection, Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, P. R. China
| | - Weiying Xu
- Collaborative Innovation Center for Green Chemical Manufacturing and Accurate Detection, Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, P. R. China
| | - Hongmin Ma
- Collaborative Innovation Center for Green Chemical Manufacturing and Accurate Detection, Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, P. R. China
| | - Qin Wei
- Collaborative Innovation Center for Green Chemical Manufacturing and Accurate Detection, Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, P. R. China
| |
Collapse
|
4
|
Lee MJ, Ramanathan S, Mansor SM, Tan SC. Development of an ELISA for detection of mitragynine and its metabolites in human urine. Anal Biochem 2020; 599:113733. [PMID: 32302607 DOI: 10.1016/j.ab.2020.113733] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2019] [Revised: 04/07/2020] [Accepted: 04/08/2020] [Indexed: 10/24/2022]
Abstract
An enzyme-linked immunosorbent assay for detection of mitragynine, other closely related Kratom alkaloids and metabolites was developed using polyclonal antibodies. Mitragynine was conjugated to a carrier protein, cationized-bovine serum albumin using Mannich reaction. The synthesized antigen was injected into rabbits to elicit specific polyclonal antibodies against mitragynine. An enzyme conjugate was synthesized for evaluating its performance with the antibodies produced. The assay had an IC50 of 7.3 ng/mL with a limit of detection of 15 ng/mL for mitragynine. Antibody produced have high affinity for mitragynine (100%), other closely related Kratom alkaloids such as paynantheine (54%), speciociliatine (63%), 7α-hydroxy-7H-mitragynine (83%) and cross-reacted with metabolites 9-O-demethyl mitragynine (79%), 16-carboxy mitragynine (103%), 9-O-demethyl mitragynine sulfate (263%), 9-O-demethyl mitragynine glucuronide (60%), 16-carboxy mitragynine glucuronide (60%), 9-O-demethyl-16-carboxy mitragynine sulfate (270%) and 17-O-demethyl-16,17-dihydro mitragynine glucuronide (34%). It showed cross-reactivity less than 0.01% to reserpine, codeine, morphine, caffeine, methadone, amphetamine, and cocaine. Ten-fold dilution urine was used in the assay to reduce the matrix effects. The recovery ranged from 83% to 112% with variation coefficients in intraday and interday less than 8% and 6%, respectively. The ELISA turned out to be a convenient tool to diagnose mitragynine, other closely related Kratom alkaloids and metabolites in human urine samples.
Collapse
Affiliation(s)
- Mei Jin Lee
- Institute for Research in Molecular Medicine (INFORMM), Main Campus, Universiti Sains Malaysia, 11800, Penang, Malaysia.
| | - Surash Ramanathan
- Centre for Drug Research (CDR), Main Campus, Universiti Sains Malaysia, 11800, Penang, Malaysia
| | - Sharif Mahsufi Mansor
- Centre for Drug Research (CDR), Main Campus, Universiti Sains Malaysia, 11800, Penang, Malaysia
| | - Soo Choon Tan
- Institute for Research in Molecular Medicine (INFORMM), Main Campus, Universiti Sains Malaysia, 11800, Penang, Malaysia
| |
Collapse
|
5
|
Hnasko R, Lin A, McGarvey JA, Stanker LH. A rapid method to improve protein detection by indirect ELISA. Biochem Biophys Res Commun 2011; 410:726-31. [DOI: 10.1016/j.bbrc.2011.06.005] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2011] [Accepted: 06/01/2011] [Indexed: 11/24/2022]
|
6
|
Abstract
This chapter gives general information on essential practical features of ELISAs. These can be summarized as follows: 1. Adsorption of antigen or antibody to the plastic solid phase. 2. Addition of the test sample and subsequent reagents. 3. Incubation of reactants. 4. Separation of bound and free reactants by washing. 5. Addition of enzyme-labeled reagent. 6. Addition of enzyme detection system (color development). 7. Visual or spectrophotometric reading of the assay.
Collapse
|
7
|
Chambers SJ, Brett GM, Clare Mills EN, Morgan MR. Multiantigenic peptides as standards in immunoassays for complex proteins: use of LGQQQPFPPQQPY in an enzyme-linked immunosorbent assay for gluten. Anal Biochem 2001; 292:301-5. [PMID: 11355866 DOI: 10.1006/abio.2001.5037] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Affiliation(s)
- S J Chambers
- Nutrition, Health and Consumer Sciences Division, Food Materials Division, Institute of Food Research, Norwich Research Park, Colney, Norwich, NR4 7UA, United Kingdom.
| | | | | | | |
Collapse
|
8
|
Siontorou CG, Nikolelis DP, Piunno PAE, Krull UJ. Detection of DNA hybridization using self-assembled bilayer lipid membranes (BLMs). ELECTROANAL 1997. [DOI: 10.1002/elan.1140091407] [Citation(s) in RCA: 32] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
|