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Zhao Z, Yin H, Xiao J, Cui M, Huang R, Su R. Efficient Sequential Detection of Two Antibiotics Using a Fiber-Optic Surface Plasmon Resonance Sensor. SENSORS (BASEL, SWITZERLAND) 2024; 24:2126. [PMID: 38610339 PMCID: PMC11013968 DOI: 10.3390/s24072126] [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: 02/07/2024] [Revised: 03/11/2024] [Accepted: 03/21/2024] [Indexed: 04/14/2024]
Abstract
Antibiotic residues have become a worldwide public safety issue. It is vital to detect multiple antibiotics simultaneously using sensors. A new and efficient method is proposed for the combined detection of two antibiotics (enrofloxacin (Enro) and ciprofloxacin (Cip)) in milk using surface plasmon resonance (SPR) sensors. Based on the principle of immunosuppression, two antibiotic antigens (for Enro and Cip) were immobilized on an optical fiber surface with conjugates of bovine serum albumin using dopamine (DA) polymerization. Each single antigen was bound to its corresponding antibody to derive standard curves for Enro and Cip. The fiber-optic sensor's sensitivity was 2900 nm/RIU. Detection limits were calculated to be 1.20 ng/mL for Enro and 0.81 ng/mL for Cip. The actual system's recovery rate was obtained by testing Enro and Cip in milk samples; enrofloxacin's and ciprofloxacin's mean recoveries from the milk samples were 96.46-120.46% and 96.74-126.9%, respectively. In addition, several different regeneration solutions were tested to analyze the two target analytes' regeneration ability; NaOH and Gly-HCl solutions were found to have the best regeneration ability.
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Affiliation(s)
- Ze Zhao
- State Key Laboratory of Chemical Engineering, Tianjin Key Laboratory of Membrane Science and Desalination Technology, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China; (Z.Z.)
| | - Huiting Yin
- Zhejiang Institute of Tianjin University, Ningbo 315201, China;
| | - Jingzhe Xiao
- State Key Laboratory of Chemical Engineering, Tianjin Key Laboratory of Membrane Science and Desalination Technology, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China; (Z.Z.)
| | - Mei Cui
- State Key Laboratory of Chemical Engineering, Tianjin Key Laboratory of Membrane Science and Desalination Technology, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China; (Z.Z.)
| | - Renliang Huang
- Tianjin Key Laboratory for Marine Environmental Research and Service, School of Marine Science and Technology, Tianjin University, Tianjin 300072, China
| | - Rongxin Su
- State Key Laboratory of Chemical Engineering, Tianjin Key Laboratory of Membrane Science and Desalination Technology, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China; (Z.Z.)
- Zhejiang Institute of Tianjin University, Ningbo 315201, China;
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Bhardwaj SK, Deep A, Bhardwaj N, Wangoo N. Recent advancements in nanomaterial based optical detection of food additives: a review. Analyst 2023; 148:5322-5339. [PMID: 37750046 DOI: 10.1039/d3an01317k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/27/2023]
Abstract
Food additives have become a critical component in the food industry. They are employed as preservatives to decelerate the negative effects of environmental and microbial factors on food quality. Currently, food additives are used for a variety of purposes, including colorants, flavor enhancers, nutritional supplements, etc., owing to improvements in the food industry. Since the usage of food additives has increased dramatically, the efficient monitoring of their acceptable levels in food products is quite necessary to mitigate the problems associated with their inappropriate use. The traditional methods used for detecting food additives are generally based on standard spectroscopic and chromatographic techniques. However, these analytical techniques are limited by their high instrumentation cost and time-consuming procedures. The emerging field of nanotechnology has enabled the development of highly sensitive and specific sensors to analyze food additives in a rapid manner. The current article emphasizes the need to detect various food additives owing to their potential negative effects on humans, animals, and the environment. In this article, the role of nanomaterials in the optical sensing of food additives has been discussed owing to their high accuracy, ease-of-use, and excellent sensitivity. The applications of nanosensors for the detection of various food additives have been elaborated with examples. The current article will assist policymakers in developing new rules and regulations to mitigate the adverse effects of toxic food additives on humans and the environment. In addition, the prospects of nanosensors for the optical detection of food additives at a commercial scale have been discussed to combat their irrational use in the food industry.
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Affiliation(s)
- Sanjeev K Bhardwaj
- Department of Applied Sciences, University Institute of Engineering Technology (UIET), Panjab University, Chandigarh, India.
| | - Akash Deep
- Energy and Environment unit, Institute of Nanoscience and Technology, Mohali, India.
| | - Neha Bhardwaj
- Energy and Environment unit, Institute of Nanoscience and Technology, Mohali, India.
| | - Nishima Wangoo
- Department of Applied Sciences, University Institute of Engineering Technology (UIET), Panjab University, Chandigarh, India.
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Guan T, Xu Z, Wang J, Liu Y, Shen X, Li X, Sun Y, Lei H. Multiplex optical bioassays for food safety analysis: Toward on-site detection. Compr Rev Food Sci Food Saf 2022; 21:1627-1656. [PMID: 35181985 DOI: 10.1111/1541-4337.12914] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 12/28/2021] [Accepted: 12/29/2021] [Indexed: 12/15/2022]
Abstract
Food safety analysis plays a significant role in controlling food contamination and supervision. In recent years, multiplex optical bioassays (MOBAs) have been widely applied to analyze multiple hazards due to their efficiency and low cost. However, due to the challenges such as multiplexing capacity, poor sensitivity, and bulky instrumentation, the further application of traditional MOBAs in food screening has been limited. In this review, effective strategies regarding food safety MOBAs are summarized, such as spatial-resolution modes performed in multi-T lines/dots strips or arrays of strip/microplate/microfluidic chip/SPR chip and signal-resolution modes employing distinguishable colorimetric/luminescence/fluorescence/surface plasma resonance/surface-enhanced Raman spectrum as signal tags. Following this, new trends on how to design engineered sensor architecture and exploit distinguishable signal reporters, how to improve both multiplexing capacity and sensitivity, and how to integrate these formats into smartphones so as to be mobile are summarized systematically. Typically, in the case of enhancing multiplexing capacity and detection throughput, microfluidic array chips with multichannel architecture would be a favorable approach to overcome the spatial and physical limitations of immunochromatographic assay (ICA) test strips. Moreover, noble metal nanoparticles and single-excitation, multiple-emission luminescence nanomaterials hold great potential in developing ultrasensitive MOBAs. Finally, the exploitation of innovative multiplexing strategy hybridized with powerful and widely available smartphones opens new perspectives to MOBAs. In future, the MOBAs should be more sensitive, have higher multiplexing capacity, and easier instrumentation.
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Affiliation(s)
- Tian Guan
- Guangdong Provincial Key Laboratory of Food Quality and Safety / Nation-Local Joint Engineering Research Center for Machining and Safety of Livestock and Poultry Products, College of Food Science, South China Agricultural University, Guangzhou, 510642, China
| | - Zhenlin Xu
- Guangdong Provincial Key Laboratory of Food Quality and Safety / Nation-Local Joint Engineering Research Center for Machining and Safety of Livestock and Poultry Products, College of Food Science, South China Agricultural University, Guangzhou, 510642, China.,Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China
| | - Jin Wang
- Guangdong Provincial Key Laboratory of Food Quality and Safety / Nation-Local Joint Engineering Research Center for Machining and Safety of Livestock and Poultry Products, College of Food Science, South China Agricultural University, Guangzhou, 510642, China
| | - Yingju Liu
- Department of Applied Chemistry, College of Materials and Energy, South China Agricultural University, Guangzhou, China
| | - Xing Shen
- Guangdong Provincial Key Laboratory of Food Quality and Safety / Nation-Local Joint Engineering Research Center for Machining and Safety of Livestock and Poultry Products, College of Food Science, South China Agricultural University, Guangzhou, 510642, China
| | - Xiangmei Li
- Guangdong Provincial Key Laboratory of Food Quality and Safety / Nation-Local Joint Engineering Research Center for Machining and Safety of Livestock and Poultry Products, College of Food Science, South China Agricultural University, Guangzhou, 510642, China
| | - Yuanming Sun
- Guangdong Provincial Key Laboratory of Food Quality and Safety / Nation-Local Joint Engineering Research Center for Machining and Safety of Livestock and Poultry Products, College of Food Science, South China Agricultural University, Guangzhou, 510642, China
| | - Hongtao Lei
- Guangdong Provincial Key Laboratory of Food Quality and Safety / Nation-Local Joint Engineering Research Center for Machining and Safety of Livestock and Poultry Products, College of Food Science, South China Agricultural University, Guangzhou, 510642, China.,Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China
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Ravindran N, Kumar S, M Y, S R, C A M, Thirunavookarasu S N, C K S. Recent advances in Surface Plasmon Resonance (SPR) biosensors for food analysis: a review. Crit Rev Food Sci Nutr 2021; 63:1055-1077. [PMID: 34328048 DOI: 10.1080/10408398.2021.1958745] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Food safety is the prime area of concern that builds trust. With the prevailing advancements, it has become facile to ensure safety in almost all aspects. Technology has grown from tedious lab techniques to modern chromatographic techniques and immunoassays, progressed with more precise and rapid sensing through the advent of Biosensors. Biosensors provide an automated technology by presenting superfast, nondestructive and cost-effective detection in food analysis. SPR biosensor is an optical biosensor known for its versatility and has wider applications in food testing and analysis. It has an optical system for excitation and interrogation of surface plasmons, and a biomolecular recognition element to detect and seize the target analyte present in a sample. The optical signal detects the binding analyte, on the recognition element, which results in a change in refractive index at the surface and modifies the surface plasmons' propagation constant. SPR aids in label-free detection of various components such as adulterants, antibiotics, biomolecules, genetically modified foods, pesticides, insecticides, herbicides, microorganisms and microbial toxins in food and assures safety. The distinct advancements of SPR in food analysis have been found and discussed. The review also provides knowledge on the advantages and the key challenges encountered by SPR.
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Affiliation(s)
- Nevetha Ravindran
- Department of Food Engineering, Indian Institute of Food Processing Technology, Thanjavur, India
| | - Sandhya Kumar
- Department of Food Engineering, Indian Institute of Food Processing Technology, Thanjavur, India
| | - Yashini M
- Department of Food Engineering, Indian Institute of Food Processing Technology, Thanjavur, India
| | - Rajeshwari S
- Department of Food Engineering, Indian Institute of Food Processing Technology, Thanjavur, India
| | - Mamathi C A
- Department of Food Engineering, Indian Institute of Food Processing Technology, Thanjavur, India
| | | | - Sunil C K
- Department of Food Engineering, Indian Institute of Food Processing Technology, Thanjavur, India
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Basso CR, Malossi CD, Haisi A, de Albuquerque Pedrosa V, Barbosa AN, Grotto RT, Araujo Junior JP. Fast and reliable detection of SARS-CoV-2 antibodies based on surface plasmon resonance. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2021; 13:3297-3306. [PMID: 34231576 DOI: 10.1039/d1ay00737h] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Researchers worldwide have been studying alternatives to detect SARS-CoV-2 (COVID-19), and accurate and timely diagnosis is crucial for controlling the outbreaks of the disease. Surface plasmon resonance (SPR) is an effective strategy based on antibodies, and it can be used for simple and fast detection of antibodies due to COVID-19 infection. Accordingly, this paper reports on the highly sensitive and specific detection of antibody responses to SARS-CoV-2 spike (S) and nucleocapsid (N) proteins in COVID-19 patients. In this methodology, spike (S) and nucleocapsid (N) proteins belonging to the coronavirus genome were immobilized on the surface of a gold sensor using self-assembled monolayers. Previously, serum from COVID-19 patients was screened by immunochromatography-based COVID-19 IgG rapid test and/or ELISA in house to determine the presence of IgG titers. Serum from COVID-19-positive patients presenting with IgG were added on the surface and, at the time they bound to proteins, they caused refractive changes in the SPR angle. The antibody detection limit was determined through successive injections into the SPR apparatus - these injections ranged from pure (without dilution) to 1 : 200 μL. The system has shown good reproducibility between runs after coated surface regeneration with 0.1 M glycine-HCl solution (pH 3.0); all experiments were tested in triplicate. The antibodies targeted both S and N fragments and gave a high assay sensitivity by identifying 19 out of 20 COVID-19-positive patients. Most importantly, the assay time took less than 10 min. The results of this study indicate that the proposed simple strategy demonstrates high sensitivity and time-saving in the detection of SARS-CoV-2 response antibodies.
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Affiliation(s)
| | | | - Amanda Haisi
- Institute of Biotechnology, UNESP-Botucatu, SP 18607-440, Brazil.
| | | | - Alexandre Naime Barbosa
- Department of Infectious Diseases, Dermatology, Diagnostic Imaging and Radiotherapy, Faculty of Medicine of Botucatu, UNESP-Botucatu, SP 18618-687, Brazil
| | - Rejane Tommasini Grotto
- Department of Medical Clinic, Faculty of Medicine of Botucatu, UNESP-Botucatu, SP 18618-687, Brazil
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Drozd M, Karoń S, Malinowska E. Recent Advancements in Receptor Layer Engineering for Applications in SPR-Based Immunodiagnostics. SENSORS (BASEL, SWITZERLAND) 2021; 21:3781. [PMID: 34072572 PMCID: PMC8198293 DOI: 10.3390/s21113781] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 05/23/2021] [Accepted: 05/26/2021] [Indexed: 12/12/2022]
Abstract
The rapid progress in the development of surface plasmon resonance-based immunosensing platforms offers wide application possibilities in medical diagnostics as a label-free alternative to enzyme immunoassays. The early diagnosis of diseases or metabolic changes through the detection of biomarkers in body fluids requires methods characterized by a very good sensitivity and selectivity. In the case of the SPR technique, as well as other surface-sensitive detection strategies, the quality of the transducer-immunoreceptor interphase is crucial for maintaining the analytical reliability of an assay. In this work, an overview of general approaches to the design of functional SPR-immunoassays is presented. It covers both immunosensors, the design of which utilizes well-known and often commercially available substrates, as well as the latest solutions developed in-house. Various approaches employing chemical and passive binding, affinity-based antibody immobilization, and the introduction of nanomaterial-based surfaces are discussed. The essence of their influence on the improvement of the main analytical parameters of a given immunosensor is explained. Particular attention is paid to solutions compatible with the latest trends in the development of label-free immunosensors, such as platforms dedicated to real-time monitoring in a quasi-continuous mode, the use of in situ-generated receptor layers (elimination of the regeneration step), and biosensors using recombinant and labelled protein receptors.
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Affiliation(s)
- Marcin Drozd
- Faculty of Chemistry, The Chair of Medical Biotechnology, Warsaw University of Technology, Noakowskiego 3, 00-664 Warsaw, Poland;
- Center for Advanced Materials and Technologies, Warsaw University of Technology, Poleczki 19, 02-822 Warsaw, Poland
| | - Sylwia Karoń
- Faculty of Chemistry, The Chair of Medical Biotechnology, Warsaw University of Technology, Noakowskiego 3, 00-664 Warsaw, Poland;
- Center for Advanced Materials and Technologies, Warsaw University of Technology, Poleczki 19, 02-822 Warsaw, Poland
| | - Elżbieta Malinowska
- Faculty of Chemistry, The Chair of Medical Biotechnology, Warsaw University of Technology, Noakowskiego 3, 00-664 Warsaw, Poland;
- Center for Advanced Materials and Technologies, Warsaw University of Technology, Poleczki 19, 02-822 Warsaw, Poland
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Griesche C, Baeumner AJ. Biosensors to support sustainable agriculture and food safety. Trends Analyt Chem 2020. [DOI: 10.1016/j.trac.2020.115906] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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