Development of an automated flow_based spectrophotometric immunoassay for continuous detection of zearalenone
| dc.contributor.author | Jongjit Jantra | |
| dc.contributor.author | Kinga Z�r | |
| dc.contributor.author | Melanie Sanders | |
| dc.contributor.author | Sarah De Saeger | |
| dc.contributor.author | Martin Hedstr�m | |
| dc.contributor.author | Bo Mattiasson | |
| dc.date.accessioned | 2025-07-21T06:02:40Z | |
| dc.date.issued | 2019-12-26 | |
| dc.description.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 regeneration solution, we showed 50 times reusability of the immobilized antibodies without affecting the antigen-binding properties. | |
| dc.identifier.doi | 10.1002/bab.1876 | |
| dc.identifier.uri | https://dspace.kmitl.ac.th/handle/123456789/8967 | |
| dc.subject.classification | Mycotoxins in Agriculture and Food | |
| dc.title | Development of an automated flow_based spectrophotometric immunoassay for continuous detection of zearalenone | |
| dc.type | Article |