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Development of an automated flow-based spectrophotometric immunoassay for continuous detection of zearalenone

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Abstract
Considering the widespread contaminations of food products with mycotoxins, it is important to develop, robust, time- and cost-effective detection methods. We developed and optimized an immunoassay using a continuous flow system for the detection of zearalenone (ZEN). The assay was performed in a flow mode using an automated sequential injection system. Time for an assay cycle was 18 Min. Under optimal conditions, the limit for quantification for ZEN was 0.40 mu g L-1 with a linear dependency between concentration and signal amplitude between 0.10 and 10 mu g L-1. The assay proved to be robust and reliable with 13% relative standard deviation between measurements. By dissociating the antigen-antibody complex using a regeneration solution, we showed 50 times reusability of the immobilized antibodies without affecting the antigen-binding properties.
Keywords
bioanalysis, flow-ELISA, immunoassay, mycotoxin, sequential injection, zearalenone, LC-MS/MS METHOD, CHROMATOGRAPHY, MYCOTOXINS, SYSTEM, CORN, QUANTIFICATION, ELISA, ASSAY, FEED

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MLA
Jantra, Jongjit, et al. “Development of an Automated Flow-Based Spectrophotometric Immunoassay for Continuous Detection of Zearalenone.” BIOTECHNOLOGY AND APPLIED BIOCHEMISTRY, vol. 67, no. 3, 2020, pp. 375–82, doi:10.1002/bab.1876.
APA
Jantra, J., Zor, K., Sanders, M., De Saeger, S., Hedstrom, M., & Mattiasson, B. (2020). Development of an automated flow-based spectrophotometric immunoassay for continuous detection of zearalenone. BIOTECHNOLOGY AND APPLIED BIOCHEMISTRY, 67(3), 375–382. https://doi.org/10.1002/bab.1876
Chicago author-date
Jantra, Jongjit, Kinga Zor, Melanie Sanders, Sarah De Saeger, Martin Hedstrom, and Bo Mattiasson. 2020. “Development of an Automated Flow-Based Spectrophotometric Immunoassay for Continuous Detection of Zearalenone.” BIOTECHNOLOGY AND APPLIED BIOCHEMISTRY 67 (3): 375–82. https://doi.org/10.1002/bab.1876.
Chicago author-date (all authors)
Jantra, Jongjit, Kinga Zor, Melanie Sanders, Sarah De Saeger, Martin Hedstrom, and Bo Mattiasson. 2020. “Development of an Automated Flow-Based Spectrophotometric Immunoassay for Continuous Detection of Zearalenone.” BIOTECHNOLOGY AND APPLIED BIOCHEMISTRY 67 (3): 375–382. doi:10.1002/bab.1876.
Vancouver
1.
Jantra J, Zor K, Sanders M, De Saeger S, Hedstrom M, Mattiasson B. Development of an automated flow-based spectrophotometric immunoassay for continuous detection of zearalenone. BIOTECHNOLOGY AND APPLIED BIOCHEMISTRY. 2020;67(3):375–82.
IEEE
[1]
J. Jantra, K. Zor, M. Sanders, S. De Saeger, M. Hedstrom, and B. Mattiasson, “Development of an automated flow-based spectrophotometric immunoassay for continuous detection of zearalenone,” BIOTECHNOLOGY AND APPLIED BIOCHEMISTRY, vol. 67, no. 3, pp. 375–382, 2020.
@article{8646453,
  abstract     = {Considering the widespread contaminations of food products with mycotoxins, it is important to develop, robust, time- and cost-effective detection methods. We developed and optimized an immunoassay using a continuous flow system for the detection of zearalenone (ZEN). The assay was performed in a flow mode using an automated sequential injection system. Time for an assay cycle was 18 Min. Under optimal conditions, the limit for quantification for ZEN was 0.40 mu g L-1 with a linear dependency between concentration and signal amplitude between 0.10 and 10 mu g L-1. The assay proved to be robust and reliable with 13% relative standard deviation between measurements. By dissociating the antigen-antibody complex using a regeneration solution, we showed 50 times reusability of the immobilized antibodies without affecting the antigen-binding properties.},
  author       = {Jantra, Jongjit and Zor, Kinga and Sanders, Melanie and De Saeger, Sarah and Hedstrom, Martin and Mattiasson, Bo},
  issn         = {0885-4513},
  journal      = {BIOTECHNOLOGY AND APPLIED BIOCHEMISTRY},
  keywords     = {bioanalysis,flow-ELISA,immunoassay,mycotoxin,sequential injection,zearalenone,LC-MS/MS METHOD,CHROMATOGRAPHY,MYCOTOXINS,SYSTEM,CORN,QUANTIFICATION,ELISA,ASSAY,FEED},
  language     = {eng},
  number       = {3},
  pages        = {375--382},
  title        = {Development of an automated flow-based spectrophotometric immunoassay for continuous detection of zearalenone},
  url          = {http://dx.doi.org/10.1002/bab.1876},
  volume       = {67},
  year         = {2020},
}

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