Development of an automated flow-based spectrophotometric immunoassay for continuous detection of zearalenone
Jantra, Jongjit LU ; Zór, Kinga LU ; Sanders, Melanie ; De Saeger, Sarah ; Hedström, Martin LU
and Mattiasson, Bo
LU
(2020)
In Biotechnology and Applied Biochemistry
67(3).
p.375-382
- 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 µg L−1 with a linear dependency between concentration and signal amplitude between 0.10 and 10 µg 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... (More)
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 µg L−1 with a linear dependency between concentration and signal amplitude between 0.10 and 10 µg 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.
(Less)
- author
- Jantra, Jongjit
LU
; Zór, Kinga
LU
; Sanders, Melanie
; De Saeger, Sarah
; Hedström, Martin
LU
and Mattiasson, Bo
LU
- organization
- publishing date
- 2020-05-01
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- bioanalysis, flow-ELISA, immunoassay, mycotoxin, sequential injection, zearalenone
- in
- Biotechnology and Applied Biochemistry
- volume
- 67
- issue
- 3
- pages
- 8 pages
- publisher
- Wiley
- external identifiers
-
- pmid:31876320
- scopus:85077857817
- ISSN
- 0885-4513
- DOI
- 10.1002/bab.1876
- language
- English
- LU publication?
- yes
- id
- 858c256b-e2a5-4014-94c1-3d4b7f18b6c1
- date added to LUP
- 2021-01-14 15:26:02
- date last changed
- 2025-10-14 12:36:44
@article{858c256b-e2a5-4014-94c1-3d4b7f18b6c1,
abstract = {{<p>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 µg L<sup>−1</sup> with a linear dependency between concentration and signal amplitude between 0.10 and 10 µg L<sup>−1</sup>. 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.</p>}},
author = {{Jantra, Jongjit and Zór, Kinga and Sanders, Melanie and De Saeger, Sarah and Hedström, Martin and Mattiasson, Bo}},
issn = {{0885-4513}},
keywords = {{bioanalysis; flow-ELISA; immunoassay; mycotoxin; sequential injection; zearalenone}},
language = {{eng}},
month = {{05}},
number = {{3}},
pages = {{375--382}},
publisher = {{Wiley}},
series = {{Biotechnology and Applied Biochemistry}},
title = {{Development of an automated flow-based spectrophotometric immunoassay for continuous detection of zearalenone}},
url = {{http://dx.doi.org/10.1002/bab.1876}},
doi = {{10.1002/bab.1876}},
volume = {{67}},
year = {{2020}},
}