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Designing tannic acid–polyethyleneimine–modified electrode and novel affinity peptide for β–lactoglobulin detection in milk

Authors
Venkatesan, ManjuShin, Jae HwanPark, JinyoungPark, Jong Pil
Issue Date
Mar-2024
Publisher
Elsevier Ltd
Keywords
Affinity peptide; Electrochemical modification; Food allergy; Milk sample analysis; β-lactoglobulin
Citation
Food Chemistry, v.436
Journal Title
Food Chemistry
Volume
436
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/70219
DOI
10.1016/j.foodchem.2023.137714
ISSN
0308-8146
1873-7072
Abstract
Harmful substances that cause food allergies can pose a significant threat to consumers along with food safety. According to the World Health Organization (WHO), approximately 10 % of the global population is currently affected by food allergies. Therefore, there is an urgent need for the development of more accurate and precise biosensors capable of detecting these hazardous substances including beta-lactoglobulin. Although numerous detection and analysis methods have been developed, they still suffer from various limitations. In this study, a tannic acid–polyethyleneimine (TA-PEI) network modified screen-printed electrodes (SPE) are newly developed and the binding sequence of peptide against β-LG was successfully screened using random peptide library. A novel affinity peptide with the desired sequence of S-L-S-P-S-L-W-Q-V-S-M-L-G-G-G-G-E-P-L-Q-L-K-M against β-lactoglobulin (β-LG) is designed and synthesized. The synthesized affinity peptide was immobilized on TA-PEI modified SPE to develop peptide-based sensor against β-LG for the first time. Under successful optimization, the developed sensor exhibited a linear relationship between 50 and 750 ng, with a Kd of 213.9 ng. In addition, the sensor was able to detect β-LG in cow and goat milk, with average recoveries of 88.5 % and 92.2 %, respectively. © 2023 Elsevier Ltd
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대학원 (식품생명공학과)
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