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Man Y, Yu K, Tan H, Jin X, Tao J, Pan L. A microfluidic concentration gradient colorimetric system for rapid detection of nitrite in surface water. JOURNAL OF HAZARDOUS MATERIALS 2024; 465:133133. [PMID: 38043431 DOI: 10.1016/j.jhazmat.2023.133133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 11/14/2023] [Accepted: 11/28/2023] [Indexed: 12/05/2023]
Abstract
A microfluidic concentration gradient colorimetric detection system consisting of a microfluidic concentration gradient colorimetric detection chip, a self-built colorimetric signal acquisition box and a self-written smartphone APP was constructed for the rapid, in-field and visual quantitative detection of nitrite. Specifically, nitrite with initial concentration of C0 can be automatically diluted into 8 concentration gradients characterized by arithmetic series, and the concentrations are 0, 0.20 C0, 0.33 C0, 0.46 C0, 0.59 C0, 0.72 C0, 0.86 C0 and C0. The colorimetric signal acquisition box avoided the interference of light spots on data acquisition. Under the optimal experimental conditions, the quantitative detection of nitrite was achieved by the proposed two-step colorimetric method based on the inhibition of AuNPs signal amplification, and the limit of detection (LOD) was 0.14 mg/L. The microfluidic concentration gradient colorimetric detection system was able to detect nitrite as low as 0.43 mg/L and showed a good specificity. The practical application was investigated by analyzing 10 actual samples of river and lake water, pure water and tap water. The recoveries of the microfluidic concentration gradient colorimetric detection system ranged from 94.92% to 105.60%, which indicates that the method had a good application prospect in the detection of practical samples.
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Affiliation(s)
- Yan Man
- Institute of Quality Standard and Testing Technology, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China; Risk Assessment Lab for Agro-products (Beijing), Ministry of Agriculture, Beijing, China.
| | - Kaijia Yu
- College of Chemistry and Chemical Engineering, Inner Mongolia University, Inner Mongolia, China
| | - Huimin Tan
- Institute of Quality Standard and Testing Technology, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China; Risk Assessment Lab for Agro-products (Beijing), Ministry of Agriculture, Beijing, China
| | - Xinxin Jin
- Institute of Quality Standard and Testing Technology, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China; Risk Assessment Lab for Agro-products (Beijing), Ministry of Agriculture, Beijing, China
| | - Jing Tao
- Institute of Quality Standard and Testing Technology, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China; Risk Assessment Lab for Agro-products (Beijing), Ministry of Agriculture, Beijing, China
| | - Ligang Pan
- Institute of Quality Standard and Testing Technology, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China; Risk Assessment Lab for Agro-products (Beijing), Ministry of Agriculture, Beijing, China
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Suo Z, Niu X, Wei M, Jin H, He B. Latest strategies for rapid and point of care detection of mycotoxins in food: A review. Anal Chim Acta 2023; 1246:340888. [PMID: 36764774 DOI: 10.1016/j.aca.2023.340888] [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: 10/04/2022] [Revised: 01/22/2023] [Accepted: 01/23/2023] [Indexed: 01/26/2023]
Abstract
Mycotoxins contaminated in agricultural products are often highly carcinogenic and genotoxic to humans. With the streamlining of the food industry chain and the improvement of food safety requirements, the traditional laboratory testing mode is constantly challenged due to the expensive equipment, complex operation steps, and lag in testing results. Therefore, rapid detection methods are urgently needed in the food safety system. This review focuses on the latest strategies that can achieve rapid and on-site testing, with particular attention to the nanomaterials integrated biosensors. To provide researchers with the latest trends and inspiration in the field of rapid detection, we summarize several strategies suitable for point of care testing (POCT) of mycotoxins, including enzyme-linked immunoassay (ELISA), lateral flow assay (LFA), fluorescence, electrochemistry, and colorimetry assay. POCT-based strategies are all developing towards intelligence and portability, especially when combined with smartphones, making it easier to read signals for intuitive access and analysis of test data. Detection performance of the devices has also improved considerably with the integration of biosensors and nanomaterials.
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Affiliation(s)
- Zhiguang Suo
- College of Food Science and Technology, Henan Key Laboratory of Cereal and Oil Food Safety Inspection and Control, Henan University of Technology, Zhengzhou, 450001, China.
| | - Xingyuan Niu
- College of Food Science and Technology, Henan Key Laboratory of Cereal and Oil Food Safety Inspection and Control, Henan University of Technology, Zhengzhou, 450001, China
| | - Min Wei
- College of Food Science and Technology, Henan Key Laboratory of Cereal and Oil Food Safety Inspection and Control, Henan University of Technology, Zhengzhou, 450001, China
| | - Huali Jin
- College of Food Science and Technology, Henan Key Laboratory of Cereal and Oil Food Safety Inspection and Control, Henan University of Technology, Zhengzhou, 450001, China
| | - Baoshan He
- College of Food Science and Technology, Henan Key Laboratory of Cereal and Oil Food Safety Inspection and Control, Henan University of Technology, Zhengzhou, 450001, China
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Mattarozzi M, Laski E, Bertucci A, Giannetto M, Bianchi F, Zoani C, Careri M. Metrological traceability in process analytical technologies and point-of-need technologies for food safety and quality control: not a straightforward issue. Anal Bioanal Chem 2023; 415:119-135. [PMID: 36367573 PMCID: PMC9816273 DOI: 10.1007/s00216-022-04398-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 10/12/2022] [Accepted: 10/21/2022] [Indexed: 11/13/2022]
Abstract
Traditional techniques for food analysis are based on off-line laboratory methods that are expensive and time-consuming and often require qualified personnel. Despite the high standards of accuracy and metrological traceability, these well-established methods do not facilitate real-time process monitoring and timely on-site decision-making as required for food safety and quality control. The future of food testing includes rapid, cost-effective, portable, and simple methods for both qualitative screening and quantification of food contaminants, as well as continuous, real-time measurement in production lines. Process automatization through process analytical technologies (PAT) is an increasing trend in the food industry as a way to achieve improved product quality, safety, and consistency, reduced production cycle times, minimal product waste or reworks, and the possibility for real-time product release. Novel methods of analysis for point-of-need (PON) screening could greatly improve food testing by allowing non-experts, such as consumers, to test in situ food products using portable instruments, smartphones, or even visual naked-eye inspections, or farmers and small producers to monitor products in the field. This requires the attention of the research community and devices manufacturers to ensure reliability of measurement results from PAT strategy and PON tests through the demonstration and critical evaluation of performance characteristics. The fitness for purpose of methods in real-life conditions is a priority that should not be overlooked in order to maintain an effective and harmonized food safety policy.
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Affiliation(s)
- Monica Mattarozzi
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area Delle Scienze 17/A, 43124, Parma, Italy
- Interdepartmental Centre SITEIA.PARMA, University of Parma, Technopole Pad 33 Parco Area Delle Scienze, 43124, Parma, Italy
| | - Eleni Laski
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area Delle Scienze 17/A, 43124, Parma, Italy
| | - Alessandro Bertucci
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area Delle Scienze 17/A, 43124, Parma, Italy
| | - Marco Giannetto
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area Delle Scienze 17/A, 43124, Parma, Italy
- Interdepartmental Centre SITEIA.PARMA, University of Parma, Technopole Pad 33 Parco Area Delle Scienze, 43124, Parma, Italy
| | - Federica Bianchi
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area Delle Scienze 17/A, 43124, Parma, Italy
- Interdepartmental Centre CIPACK, University of Parma, Technopole Pad 33 Parco Area Delle Scienze, 43124, Parma, Italy
| | - Claudia Zoani
- Department for Sustainability, Biotechnology and Agroindustry Division (SSPT-BIOAG), Casaccia Research Centre, Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Via Anguillarese 301, 00123, Rome, Italy
| | - Maria Careri
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area Delle Scienze 17/A, 43124, Parma, Italy.
- Interdepartmental Centre SITEIA.PARMA, University of Parma, Technopole Pad 33 Parco Area Delle Scienze, 43124, Parma, Italy.
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Recent Advances in Nanomaterial-Based Sensing for Food Safety Analysis. Processes (Basel) 2022. [DOI: 10.3390/pr10122576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/10/2022] Open
Abstract
The increasing public attention on unceasing food safety incidents prompts the requirements of analytical techniques with high sensitivity, reliability, and reproducibility to timely prevent food safety incidents occurring. Food analysis is critically important for the health of both animals and human beings. Due to their unique physical and chemical properties, nanomaterials provide more opportunities for food quality and safety control. To date, nanomaterials have been widely used in the construction of sensors and biosensors to achieve more accurate, fast, and selective food safety detection. Here, various nanomaterial-based sensors for food analysis are outlined, including optical and electrochemical sensors. The discussion mainly involves the basic sensing principles, current strategies, and novel designs. Additionally, given the trend towards portable devices, various smartphone sensor-based point-of-care (POC) devices for home care testing are discussed.
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Linghu X, Wang S, Liu W, Wang R, Lu Y. Immunocolorimetric assay based on amplified gold nanoparticles and magnetic separation beads for detection of sesame allergens in food. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2022; 14:4803-4812. [PMID: 36382410 DOI: 10.1039/d2ay01557a] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
We have developed a magnetic separation-based immunocolorimetric assay to detect sesame allergens. Sesame monoclonal antibody (Ab) was modified onto gold nanoparticles (AuNPs) to create signal probes (AuNPs-Ab), and sesame allergens (SA) were attached to carboxyl-functionalized magnetic polystyrene microspheres (MPMs) to act as capture probes (MPMs-SA). Based on the competition format, the capture probes competed with the sesame allergens in the sample to bind the corresponding signal probes. When sesame allergens were present, two immune complexes (AuNPs-Ab@MPMs-SA and AuNPs-Ab@SA) were formed. The immune complex AuNPs-Ab@SA was used to quantify the sesame allergens in the sample. This immunoassay had a detection linear range from 50 to 800 μg L-1 with a limit of detection (LOD) of 45.53 μg L-1. Based on the optimized conditions, the recovery of sesame allergens in bread, biscuit, almond beverage, and energy bar samples was between 82.50% and 116.67%. The LODs for the bread, biscuit, almond beverage, and energy bar samples were 0.36, 0.36, 0.27, and 0.55 mg kg-1, respectively.
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Affiliation(s)
- Xiaopan Linghu
- Key Laboratory of Food Quality and Health of Tianjin, State Key Laboratory for Food Nutrition and Safety, College of Food Engineering and Biotechnology, Tianjin University of Science and Technology, Tianjin, 300457, China.
| | - Shasha Wang
- Key Laboratory of Food Quality and Health of Tianjin, State Key Laboratory for Food Nutrition and Safety, College of Food Engineering and Biotechnology, Tianjin University of Science and Technology, Tianjin, 300457, China.
| | - Wentao Liu
- Key Laboratory of Food Quality and Health of Tianjin, State Key Laboratory for Food Nutrition and Safety, College of Food Engineering and Biotechnology, Tianjin University of Science and Technology, Tianjin, 300457, China.
| | - Rui Wang
- Key Laboratory of Food Quality and Health of Tianjin, State Key Laboratory for Food Nutrition and Safety, College of Food Engineering and Biotechnology, Tianjin University of Science and Technology, Tianjin, 300457, China.
| | - Yang Lu
- Key Laboratory of Food Quality and Health of Tianjin, State Key Laboratory for Food Nutrition and Safety, College of Food Engineering and Biotechnology, Tianjin University of Science and Technology, Tianjin, 300457, China.
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Xing G, Ai J, Wang N, Pu Q. Recent progress of smartphone-assisted microfluidic sensors for point of care testing. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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7
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Ross G, Zhao Y, Bosman A, Geballa-Koukoula A, Zhou H, Elliott C, Nielen M, Rafferty K, Salentijn G. Data handling and ethics of emerging smartphone-based (bio)sensors – Part 1: Best practices and current implementation. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
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Li X, Cheng Y, Xu R, Zhang Z, Qi X, Chen L, Zhu M. A smartphone-assisted microarray immunosensor coupled with GO-based multi-stage signal amplification strategy for high-sensitivity detection of okadaic acid. Talanta 2022; 247:123567. [PMID: 35623247 DOI: 10.1016/j.talanta.2022.123567] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 05/11/2022] [Accepted: 05/16/2022] [Indexed: 11/28/2022]
Abstract
Okadaic acid (OA) is one of the main virulence factors of diarrheal shellfish toxins (DSP), which can cause acute carcinogenic or teratogenic effects after ingestion of contaminated shellfish. Therefore, high-sensitivity and fast detection of OA is a key to preventing the occurrence of safety accidents. In this paper, we effectively established a smartphone-assisted microarray immunosensor combined with an indirect competitive ELISA (iELISA) for quantitative colorimetric detection of OA. To further improve the detection sensitivity and match the smartphone imaging, a novel graphene oxide (GO) composite probe was developed to realize the multi-stage signal amplification. The system exhibited a wide linear range for the detection of OA (0.02-33.6 ng ·mL-1) with low detection limit of 0.02 ng ·mL-1. The recovery of OA in spiked shellfish samples was in the range of 80%-103.5%, which indicates the good applicability of this biosensor. The whole detection system has advantages of simplicity, low cost, high sensitivity and portability, which is expected to be a powerful alternative tool for on-site detecting and early warning of the pollution of marine products.
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Affiliation(s)
- Xiaotong Li
- Institute of Eco-Environmental Forensics, Qingdao Institute of Humanities and Social Sciences, Shandong University, China
| | - Yongqiang Cheng
- Institute of Eco-Environmental Forensics, Qingdao Institute of Humanities and Social Sciences, Shandong University, China.
| | - Ranran Xu
- Institute of Eco-Environmental Forensics, Qingdao Institute of Humanities and Social Sciences, Shandong University, China
| | - Ziwei Zhang
- Institute of Eco-Environmental Forensics, Qingdao Institute of Humanities and Social Sciences, Shandong University, China
| | - Xiaoxiao Qi
- Institute of Eco-Environmental Forensics, Qingdao Institute of Humanities and Social Sciences, Shandong University, China
| | - Longyu Chen
- Institute of Eco-Environmental Forensics, Qingdao Institute of Humanities and Social Sciences, Shandong University, China
| | - Meijia Zhu
- Institute of Eco-Environmental Forensics, Qingdao Institute of Humanities and Social Sciences, Shandong University, China
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9
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Buchanan BC, Yoon JY. Microscopic Imaging Methods for Organ-on-a-Chip Platforms. MICROMACHINES 2022; 13:328. [PMID: 35208453 PMCID: PMC8879989 DOI: 10.3390/mi13020328] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 02/15/2022] [Accepted: 02/15/2022] [Indexed: 02/06/2023]
Abstract
Microscopic imaging is essential and the most popular method for in situ monitoring and evaluating the outcome of various organ-on-a-chip (OOC) platforms, including the number and morphology of mammalian cells, gene expression, protein secretions, etc. This review presents an overview of how various imaging methods can be used to image organ-on-a-chip platforms, including transillumination imaging (including brightfield, phase-contrast, and holographic optofluidic imaging), fluorescence imaging (including confocal fluorescence and light-sheet fluorescence imaging), and smartphone-based imaging (including microscope attachment-based, quantitative phase, and lens-free imaging). While various microscopic imaging methods have been demonstrated for conventional microfluidic devices, a relatively small number of microscopic imaging methods have been demonstrated for OOC platforms. Some methods have rarely been used to image OOCs. Specific requirements for imaging OOCs will be discussed in comparison to the conventional microfluidic devices and future directions will be introduced in this review.
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Affiliation(s)
| | - Jeong-Yeol Yoon
- Department of Biomedical Engineering, The University of Arizona, Tucson, AZ 85721, USA;
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10
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Abdollahiyan P, Heidari H, Hassanzadeh S, Hasanzadeh M, Seidi F, Pashazadeh-Panahi P. Providing multicolor plasmonic patterns with graphene quantum dots functionalized d-penicillamine for visual recognition of V(V), Cu (II), and Fe(III): Colorimetric fingerprints of GQDs-DPA for discriminating ions in human urine samples. J Mol Recognit 2021; 34:e2936. [PMID: 34505710 DOI: 10.1002/jmr.2936] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 08/18/2021] [Accepted: 08/22/2021] [Indexed: 12/30/2022]
Abstract
In this study, a novel fluorescent probe (graphene quantum dots functionalized d-penicillamine [GQDs-DPA]) was developed for the selective identification of Cu2+ , V5+ , and Fe3+ among 26 types of metal ions, which considerably quench the fluorescence intensity of GQD. So, GQDs-DPA was applied as a simple fluorescent probe for facile metal ions recognition in standard solution. The proposed DPA-GQD supported amino acids respond to Cu2+ , V5+ , and Fe3+ , with high sensitivity. The intensity of the fluorescence histogram of this probe significantly diminished in exposure to metal ions such as Cu(II), V(V), and Fe(III). Moreover, a microfluidic paper-based device (μPAD) was fabricated through a facile and cost-effective protocol. Cu2+ , V5+ , and Fe3+ can be selectively recognized by GQDs-DPA using μPAD by naked eye. Also, GQDs-DPA exhibits a linear response for the detection of ions in concentrations ranging from 0.01 to 1 ppm, with a low limit of quantification of 0.01 ppm in standards samples. The boosted color uniformity, low instrumental needs of the stamp, and disposability of μPADs enable the application of the proposed device for commercial applications in environmental science and technology.
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Affiliation(s)
- Parinaz Abdollahiyan
- Jiangsu Co-Innovation Center for Efficient Processing and Utilization of Forest Resources and International Innovation Center for Forest Chemicals and Materials, Nanjing Forestry University, Nanjing, China.,Pharmaceutical Analysis Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Hassan Heidari
- Faculty of Mining, Petroleum and Geophysics, Shahrood University of Technology, Shahrood, Iran
| | - Soheila Hassanzadeh
- Geology Department, Faculty of Science and Chemistry, Urmia University, Urmia, Iran
| | - Mohammad Hasanzadeh
- Pharmaceutical Analysis Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.,Nutrition Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Farzad Seidi
- Jiangsu Co-Innovation Center for Efficient Processing and Utilization of Forest Resources and International Innovation Center for Forest Chemicals and Materials, Nanjing Forestry University, Nanjing, China
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Abdollahiyan P, Hasanzadeh M, Pashazadeh-Panahi P, Seidi F. Application of Cys A@AuNPs supported amino acids towards rapid and selective identification of Hg(II) and Cu(II) ions in aqueous solution: An innovative microfluidic paper-based (μPADs) colorimetric sensing platform. J Mol Liq 2021. [DOI: 10.1016/j.molliq.2021.117020] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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12
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Man Y, Ban M, Li A, Jin X, Du Y, Pan L. A microfluidic colorimetric biosensor for in-field detection of Salmonella in fresh-cut vegetables using thiolated polystyrene microspheres, hose-based microvalve and smartphone imaging APP. Food Chem 2021; 354:129578. [PMID: 33756331 DOI: 10.1016/j.foodchem.2021.129578] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 02/25/2021] [Accepted: 03/05/2021] [Indexed: 12/22/2022]
Abstract
A microfluidic colorimetric biosensor was developed using thiolated polystyrene microspheres (SH-PSs) for aggregating of gold nanoparticles (AuNPs), a novel hose-based microvalve for controlling the flow direction, and a smartphone imaging APP for monitoring colorimetric signals. Aptamer-PS-cysteamine conjugates were used as detection probes and reacted with Salmonella in samples. Complementary DNA - magnetic nanoparticle (cDNA - MNP) conjugates were used as capture probes, reacted with the free aptamer-PS-cysteamine conjugates. AuNPs were aggregated on the surface of Salmonella-aptamer-PS-cysteamine conjugates, resulting in a visible color change in the detection chamber, which indicating different concentrations of Salmonella. The limit of detection was low to 6.0 × 101 cfu/mL. The microfluidic biosensor exhibited a good specificity. It was evaluated by analyzing salad samples spiked with Salmonella. The recoveries ranged from 91.68% to 113.76%, which indicated its potential application in real samples.
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Affiliation(s)
- Yan Man
- Beijing Research Center for Agricultural Standards and Testing, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China; Risk Assessment Lab for Agro-products (Beijing), Ministry of Agriculture. P.R. China, Beijing 100097, China; Beijing Municipal Key Laboratory of Agriculture Environment Monitoring, Beijing 100097, China.
| | - Meijing Ban
- School of Food Science and Engineering, Beijing University of Agriculture, Beijing 102206, China
| | - An Li
- Beijing Research Center for Agricultural Standards and Testing, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China; Risk Assessment Lab for Agro-products (Beijing), Ministry of Agriculture. P.R. China, Beijing 100097, China; Beijing Municipal Key Laboratory of Agriculture Environment Monitoring, Beijing 100097, China
| | - Xinxin Jin
- Beijing Research Center for Agricultural Standards and Testing, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China; Risk Assessment Lab for Agro-products (Beijing), Ministry of Agriculture. P.R. China, Beijing 100097, China; Beijing Municipal Key Laboratory of Agriculture Environment Monitoring, Beijing 100097, China
| | - Yuanfang Du
- Beijing Research Center for Agricultural Standards and Testing, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China; Risk Assessment Lab for Agro-products (Beijing), Ministry of Agriculture. P.R. China, Beijing 100097, China; Beijing Municipal Key Laboratory of Agriculture Environment Monitoring, Beijing 100097, China
| | - Ligang Pan
- Beijing Research Center for Agricultural Standards and Testing, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China; Risk Assessment Lab for Agro-products (Beijing), Ministry of Agriculture. P.R. China, Beijing 100097, China; Beijing Municipal Key Laboratory of Agriculture Environment Monitoring, Beijing 100097, China.
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Kaewjua K, Nakthong P, Chailapakul O, Siangproh W. Flow-based System: A Highly Efficient Tool Speeds Up Data Production and Improves Analytical Performance. ANAL SCI 2021; 37:79-92. [PMID: 32981899 DOI: 10.2116/analsci.20sar02] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
In this review, we cite references from the period between 2015 and 2020 related to the use of a flow-based system as a tool to obtain a modern analytical system for speeding up data production and improving performance. Based on a great deal of concepts for automatic systems, there are several research groups introduced in the development of flow-based systems to increase sample throughput while retaining the reproducibility and repeatability as well as to propose new platforms of flow-based systems, such as microfluidic chip and paper-based devices. Additionally, to apply a developed system for on-site analysis is one of the key features for development. We believe that this review will be very interested and useful for readers because of its impact on developing novel analytical systems. The content of the review is categorized following their applications including quality control and food safety, clinical diagnostics, environmental monitoring and miscellaneous.
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Affiliation(s)
- Kantima Kaewjua
- Department of Chemistry, Faculty of Science, Srinakharinwirot University, Sukhumvit 23, Wattana, Bangkok, 10110, Thailand
| | - Prangthip Nakthong
- Department of Chemistry, Faculty of Science, Srinakharinwirot University, Sukhumvit 23, Wattana, Bangkok, 10110, Thailand
| | - Orawon Chailapakul
- Electrochemistry and Optical Spectroscopy Center of Excellence, Department of Chemistry, Faculty of Science, Bangkok, 10330, Thailand
| | - Weena Siangproh
- Department of Chemistry, Faculty of Science, Srinakharinwirot University, Sukhumvit 23, Wattana, Bangkok, 10110, Thailand.
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Majdinasab M, Ben Aissa S, Marty JL. Advances in Colorimetric Strategies for Mycotoxins Detection: Toward Rapid Industrial Monitoring. Toxins (Basel) 2020; 13:13. [PMID: 33374434 PMCID: PMC7823678 DOI: 10.3390/toxins13010013] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 12/14/2020] [Accepted: 12/22/2020] [Indexed: 02/07/2023] Open
Abstract
Mycotoxins contamination is a global public health concern. Therefore, highly sensitive and selective techniques are needed for their on-site monitoring. Several approaches are conceivable for mycotoxins analysis, among which colorimetric methods are the most attractive for commercialization purposes thanks to their visual read-out, easy operation, cost-effectiveness, and rapid response. This review covers the latest achievements in the last five years for the development of colorimetric methods specific to mycotoxins analysis, with a particular emphasis on their potential for large-scale applications in food industries. Gathering all types of (bio)receptors, main colorimetric methods are critically discussed, including enzyme-linked assays, lateral flow-assays, microfluidic devices, and homogenous in-solution strategies. This special focus on colorimetry as a versatile transduction method for mycotoxins analysis is comprehensively reviewed for the first time.
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Affiliation(s)
- Marjan Majdinasab
- Department of Food Science & Technology, School of Agriculture, Shiraz University, Shiraz 71441-65186, Iran;
| | - Sondes Ben Aissa
- BAE-LBBM Laboratory, University of Perpignan via Domitia, 52 Avenue Paul Alduy, CEDEX 9, 66860 Perpignan, France;
| | - Jean Louis Marty
- BAE-LBBM Laboratory, University of Perpignan via Domitia, 52 Avenue Paul Alduy, CEDEX 9, 66860 Perpignan, France;
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Abstract
Nanotechnology has become a topic of interest due to the outstanding advantages that the use of nanomaterials offers in many fields. Among them, magnetic nanoparticles (m-NPs) have been one of the most widely applied in recent years. In addition to the unique features of nanomaterials in general, which exclusively appear at nanoscale, these present magnetic or paramagnetic properties that result of great interest in many applications. In particular, in the area of food analysis, the use of these nanomaterials has undergone a considerable increase since they can be easily separated from the matrix in sorbent-based extractions, providing a considerable simplification of the procedures. This allows reducing cost and giving fast responses, which is essential in the food trade to guarantee consumer safety. These materials can also be easily tunable, providing higher selectivity. Moreover, their particular electrical, thermal and optical characteristics allow enhancing sensor signals, increasing the sensitivity of the approaches based on this type of device. The aim of this review article is to summarise the most remarkable applications of m-NPs in food analysis in the last five years (2016–2020) showing a general view of the use of such materials in the field.
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