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Ni B, Ye J, Xuan Z, Li L, Zhang R, Liu H, Wang S. A pretreatment-free and eco-friendly rapid detection for mycotoxins in edible oils based on magnetic separation technique. Food Chem 2024; 458:140217. [PMID: 38964106 DOI: 10.1016/j.foodchem.2024.140217] [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: 03/09/2024] [Revised: 06/14/2024] [Accepted: 06/22/2024] [Indexed: 07/06/2024]
Abstract
Pretreatment steps of current rapid detection methods for mycotoxins in edible oils not only restrict detection efficiency, but also produce organic waste liquid to pollute environment. In this work, a pretreatment-free and eco-friendly rapid detection method for edible oil is established. This proposed method does not require pretreatment operation, and automated quantitative detection could be achieved by directly adding oil samples. According to polarity of target molecules, the content of surfactant in reaction solutions could be adjusted to achieve the quantitative detection of AFB1 in peanut oil and ZEN in corn oil. The recoveries are between 96.5%-110.7% with standard deviation <10.4%, and the limit of detection is 0.17 μg/kg for AFB1 and 4.91 μg/kg for ZEN. This method realizes full automation of the whole chain detection, i.e. sample in-result out, and is suitable for the on-site detection of batches of edible oils samples.
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Affiliation(s)
- Baoxia Ni
- Academy of National Food and Strategic Reserves Administration, No.11 Baiwanzhuang Street, Xicheng District, Beijing 100037, China
| | - Jin Ye
- Academy of National Food and Strategic Reserves Administration, No.11 Baiwanzhuang Street, Xicheng District, Beijing 100037, China
| | - Zhihong Xuan
- Academy of National Food and Strategic Reserves Administration, No.11 Baiwanzhuang Street, Xicheng District, Beijing 100037, China
| | - Li Li
- Academy of National Food and Strategic Reserves Administration, No.11 Baiwanzhuang Street, Xicheng District, Beijing 100037, China
| | - Rui Zhang
- Academy of National Food and Strategic Reserves Administration, No.11 Baiwanzhuang Street, Xicheng District, Beijing 100037, China
| | - Hongmei Liu
- Academy of National Food and Strategic Reserves Administration, No.11 Baiwanzhuang Street, Xicheng District, Beijing 100037, China..
| | - Songxue Wang
- Academy of National Food and Strategic Reserves Administration, No.11 Baiwanzhuang Street, Xicheng District, Beijing 100037, China
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Liu R, Song H, Wu H, Yang Z, Fang S, Zhu J, Ba L. Sub-femtomolar vertical graphene field effect immunosensor for detection of lung tumor markers. Talanta 2024; 278:126498. [PMID: 38959668 DOI: 10.1016/j.talanta.2024.126498] [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: 03/14/2024] [Revised: 06/26/2024] [Accepted: 06/29/2024] [Indexed: 07/05/2024]
Abstract
Lung cancer is the main cancer that endangers human life worldwide, with the highest mortality rate. The detection of lung tumor markers is of great significance for the early diagnosis and subsequent treatment of lung cancer. In this study, a vertical graphene field effect transistor (VGFET) immunosensor based on graphene/C60 heterojunction was created to offer quantitative detections for the lung tumor markers carcinoembryonic antigen (CEA), cytokeratin 19 fragment (Cyfra21-1), and neuron-specific enolase (NSE). The experimental results showed that the sensitive range for standard antigen is between 1 pg/ml to 100 ng/ml, with a limit of detection (LOD) of 5.6 amol/ml for CEA, 33.3 amol/ml for Cyfra 21-1 and 12.8 amol/ml for NSE (1 pg/ml for all). The detection accuracy for these tumor markers was compared with the clinically used method for clinical patients on serum samples. Results are highly consistent with clinically used immunoassay in its efficient diagnosis concentration range. Subsequently, the mesoporous silica nanospheres (MSNs) with an average size of 90 nm were surface modified with glutaraldehyde, and a second antibody was assembled on MSNs, which fixes nanospheres on the antigen and amplified the field effect. The LODs for three markers are 100 fg/ml (0.56 amol/ml for CEA) under optimal circumstances of detection. This result indicates that specific binding to MSNs enhances local field effects and can achieve higher sensing efficiency for tumor marker detection at extremely low concentrations, providing effective assistance for the early diagnosis of lung cancer.
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Affiliation(s)
- Ruifang Liu
- State Key Laboratory of Digital Medical Engineering, School of Biology and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Hang Song
- State Key Laboratory of Digital Medical Engineering, School of Biology and Medical Engineering, Southeast University, Nanjing, 210096, China; Institute of Sports and Health, Southeast University, Nanjing, Jiangsu, 210000, China
| | - Hao Wu
- State Key Laboratory of Digital Medical Engineering, School of Biology and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Zhihao Yang
- State Key Laboratory of Digital Medical Engineering, School of Biology and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Surong Fang
- Department of Emergency, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China
| | - Jing Zhu
- Department of Emergency, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China
| | - Long Ba
- State Key Laboratory of Digital Medical Engineering, School of Biology and Medical Engineering, Southeast University, Nanjing, 210096, China.
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Wang Y, Chen J, Zhang Y, Yang Z, Zhang K, Zhang D, Zheng L. Advancing Microfluidic Immunity Testing Systems: New Trends for Microbial Pathogen Detection. Molecules 2024; 29:3322. [PMID: 39064900 PMCID: PMC11279515 DOI: 10.3390/molecules29143322] [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: 06/06/2024] [Revised: 07/10/2024] [Accepted: 07/12/2024] [Indexed: 07/28/2024] Open
Abstract
Pathogenic microorganisms play a crucial role in the global disease burden due to their ability to cause various diseases and spread through multiple transmission routes. Immunity tests identify antigens related to these pathogens, thereby confirming past infections and monitoring the host's immune response. Traditional pathogen detection methods, including enzyme-linked immunosorbent assays (ELISAs) and chemiluminescent immunoassays (CLIAs), are often labor-intensive, slow, and reliant on sophisticated equipment and skilled personnel, which can be limiting in resource-poor settings. In contrast, the development of microfluidic technologies presents a promising alternative, offering automation, miniaturization, and cost efficiency. These advanced methods are poised to replace traditional assays by streamlining processes and enabling rapid, high-throughput immunity testing for pathogens. This review highlights the latest advancements in microfluidic systems designed for rapid and high-throughput immunity testing, incorporating immunosensors, single molecule arrays (Simoas), a lateral flow assay (LFA), and smartphone integration. It focuses on key pathogenic microorganisms such as SARS-CoV-2, influenza, and the ZIKA virus (ZIKV). Additionally, the review discusses the challenges, commercialization prospects, and future directions to advance microfluidic systems for infectious disease detection.
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Affiliation(s)
- Yiran Wang
- Engineering Research Center of Optical Instrument and System, The Ministry of Education, Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Jingwei Chen
- Engineering Research Center of Optical Instrument and System, The Ministry of Education, Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Yule Zhang
- Engineering Research Center of Optical Instrument and System, The Ministry of Education, Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Zhijin Yang
- Engineering Research Center of Optical Instrument and System, The Ministry of Education, Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Kaihuan Zhang
- 2020 X-Lab, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
| | - Dawei Zhang
- Engineering Research Center of Optical Instrument and System, The Ministry of Education, Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China
- Shanghai Engineering Research Center of Environmental Biosafety Instruments and Equipment, University of Shanghai for Science and Technology, Shanghai 200093, China
- Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai 200092, China
| | - Lulu Zheng
- Engineering Research Center of Optical Instrument and System, The Ministry of Education, Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China
- Shanghai Engineering Research Center of Environmental Biosafety Instruments and Equipment, University of Shanghai for Science and Technology, Shanghai 200093, China
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Li Z, Zhao H, Gao X, Sun F, Liu S, Zhang Z, Zhai X, Cao Y, Wu Y, Lin G. Novel envelope protein time-resolved fluoroimmunoassay as an alternative in vitro potency assay for quality control of inactivated Japanese encephalitis virus vaccine. Heliyon 2024; 10:e33015. [PMID: 39027461 PMCID: PMC11254517 DOI: 10.1016/j.heliyon.2024.e33015] [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: 03/07/2024] [Revised: 04/22/2024] [Accepted: 06/12/2024] [Indexed: 07/20/2024] Open
Abstract
Japanese encephalitis (JE) vaccination is the most effective way to prevent JE. Plaque reduction neutralization test (PRNT) as the standard method for potency testing for inactivated JE vaccine could not provide the exact potency value. Envelope (E) protein of JE virus induces the body to create neutralizing antibodies. There is a potential for using the determination of E protein to assess the immunogenicity and efficacy of JE vaccine. In this study, an automatic time-resolved fluoroimmunoassay for detection of E protein in JE vaccine was established as a simple and rapid in vitro potency assay to complement PRNT, including the expression and paired screening of monoclonal antibodies, the establishment of assay method and performance verification. A pair of anti-E protein neutralizing antibodies (L022 and L034) were screened to construct the sandwich detection pattern. After pre-treating the vaccine sample, the entire analysis was performed using a fully automated machine, which had a little detection time and eliminated manual error. The results of the validation experiment met the requirements for quality control. The linear range was from 0.78125 U/mL to 25 U/mL, the sensitivity was 0.01 U/mL, the intra-assay coefficient of variation was less than 5 %, and the inter-assay coefficient of variation was less than 10 %. The recovery from the dilution was between 90 % and 110 %. This present TRFIA shown good stability and effectiveness in quality control for samples related to JE vaccine production. The outcomes demonstrated that the present TRFIA could be an alternative in vitro potency assay in quality control for inactivated JE vaccine.
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Affiliation(s)
- Zhaoyue Li
- Key Laboratory of Antibody Engineering of Guangdong Higher Education Institutes, Institute of Antibody Engineering, School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, China
| | - Hui Zhao
- Department of Plastic and Aesthetic Surgery, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Xuzhe Gao
- Liaoning Cheng Da Biotechnology Co., Ltd., Shenyang, China
| | - Feifei Sun
- Liaoning Cheng Da Biotechnology Co., Ltd., Shenyang, China
| | - Shiyuan Liu
- Liaoning Cheng Da Biotechnology Co., Ltd., Shenyang, China
| | - Zhigao Zhang
- Key Laboratory of Antibody Engineering of Guangdong Higher Education Institutes, Institute of Antibody Engineering, School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, China
| | - Xiangming Zhai
- Key Laboratory of Antibody Engineering of Guangdong Higher Education Institutes, Institute of Antibody Engineering, School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, China
| | - Yue Cao
- Key Laboratory of Antibody Engineering of Guangdong Higher Education Institutes, Institute of Antibody Engineering, School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, China
| | - Yingsong Wu
- Key Laboratory of Antibody Engineering of Guangdong Higher Education Institutes, Institute of Antibody Engineering, School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, China
| | - Guanfeng Lin
- Key Laboratory of Antibody Engineering of Guangdong Higher Education Institutes, Institute of Antibody Engineering, School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, China
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Mirhosseini S, Nasiri AF, Khatami F, Mirzaei A, Aghamir SMK, Kolahdouz M. A digital image colorimetry system based on smart devices for immediate and simultaneous determination of enzyme-linked immunosorbent assays. Sci Rep 2024; 14:2587. [PMID: 38297148 PMCID: PMC10830485 DOI: 10.1038/s41598-024-52931-6] [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: 11/12/2023] [Accepted: 01/25/2024] [Indexed: 02/02/2024] Open
Abstract
Standard enzyme-linked immunosorbent assays based on microplates are frequently utilized for various molecular sensing, disease screening, and nanomedicine applications. Comparing this multi-well plate batched analysis to non-batched or non-standard testing, the diagnosis expenses per patient are drastically reduced. However, the requirement for rather big and pricey readout instruments prevents their application in environments with limited resources, especially in the field. In this work, a handheld cellphone-based colorimetric microplate reader for quick, credible, and novel analysis of digital images of human cancer cell lines at a reasonable price was developed. Using our in-house-developed app, images of the plates are captured and sent to our servers, where they are processed using a machine learning algorithm to produce diagnostic results. Using FDA-approved human epididymis protein of ovary IgG (HE4), prostate cancer cell line (PC3), and bladder cancer cell line (5637) ELISA tests, we successfully examined this mobile platform. The accuracies for the HE4, PC3, and 5637 tests were 93%, 97.5%, and 97.2%, respectively. By contrasting the findings with the measurements made using optical absorption EPOCH microplate readers and optical absorption Tecan microplate readers, this approach was found to be accurate and effective. As a result, digital image colorimetry on smart devices offered a practical, user-friendly, affordable, precise, and effective method for quickly identifying human cancer cell lines. Thus, healthcare providers might use this portable device to carry out high-throughput illness screening, epidemiological investigations or monitor vaccination campaigns.
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Affiliation(s)
- Shaghayegh Mirhosseini
- School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran
| | - Aryanaz Faghih Nasiri
- School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran
| | - Fatemeh Khatami
- Urology Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Akram Mirzaei
- Urology Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Mohammadreza Kolahdouz
- School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran.
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