Colloidal gold immunochromatographic assay for on-site butylated hydroxyanisole detection in vegetable oil
The contamination of butylated hydroxyanisole (BHA) presents a notable threat to food safety. However, prevalent issues among existing detection methods include intricate operation procedures and elevated detection costs. Therefore, in this study, we fabricated a monoclonal antibody (mAb) targeting BHA and developed a colloidal gold immunochromatographic assay (CGIA) strip for the rapid determination of BHA residues in edible oils. Antigens BHA-hapten-KLH and BHA-hapten-OVA were synthesized <i>via</i> ultraviolet spectrophotometry, and their immunological properties were comprehensively characterized. Through the optimization of the pH conditions for colloidal gold-labeled anti-BHA mAbs, the composition of the reconstitution solution, and the sample pretreatment protocol, the limit of detection of the established CGIA method for vegetable oil samples reached 0.06 mg kg<sup>-1</sup>. During the spiked recovery experiments, the CGIA exhibited a recovery rate ranging from 99.4% to 105.0%. The detection results were in high agreement with those obtained by HPLC-MS, thereby validating the accuracy and reliability of the method. In summary, this CGIA strip offers a straightforward, sensitive, and field-applicable analytical tool for the rapid detection of BHA in vegetable oil, holding great promise for application in the realm of on-site food safety monitoring.
Authors
- Guodong Qian (ORCID: https://orcid.org/0000-0001-7133-2473)
- Chuanlai Xu (ORCID: https://orcid.org/0000-0002-5639-7102)
- Zhipeng Cai (ORCID: https://orcid.org/0000-0003-0480-7699)
- Zhengyou Wang (ORCID: https://orcid.org/0000-0002-9976-8583)
- Jiaxun Li (ORCID: https://orcid.org/0009-0003-5573-9240)
- liuping zhang (ORCID: https://orcid.org/0009-0001-3923-0490)
- Cheng Zhang (ORCID: https://orcid.org/0000-0003-1020-0850)
- Jianbin Du (ORCID: https://orcid.org/0000-0001-7575-4067)
Institutions
- Jiangsu Changjiang Electronics Technology (China) (CN)
- Hebei Food Inspection and Research Institute (CN)
- State Key Laboratory of Food Science and Technology (CN)
Publication Details
- Journal
- Analytical Methods
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1039/d5ay01596k
- Primary Topic
- Biosensors and Analytical Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00