Detection of Peanut Allergen Ara h 6 in Commercially Processed Foods using a Single-Walled Carbon Nanotube-Based Biosensor

• Published in: Journal of AOAC International Vol. 101; no. 5; pp. 1558 - 1565
• Main Authors: Sobhan, Abdus, Oh, Jun-Hyun, Park, Mi-Kyung, Lee, Jinyoung
• Format: Journal Article
• Language: English
• Published: United States Oxford University Press 01.09.2018
• Subjects: 2S Albumins, Plant - analysis; Allergens; Antibodies, Immobilized - chemistry; Antigens, Plant - analysis; Arachis - chemistry; Biosensing Techniques - methods; Biosensors; Equipment and supplies; Fast Foods - analysis; Food Hypersensitivity - etiology; Food testing; Health aspects; Humans; Immunoassay - methods; Limit of Detection; Measurement; Methods; Nanotubes; Nanotubes, Carbon - chemistry; Peanut Hypersensitivity - etiology; Peanuts; Potentiometry - methods; Processed foods
• ISSN: 1060-3271; 1944-7922
• DOI: 10.5740/jaoacint.18-0041

The peanut protein Arachis hypogaea (Ara h) 6 is one of the most serious food allergens that contributes to food-related, life-threatening problems worldwide. The extremely low allergic dose demands for more selective and rapid methods for detecting Ara h 6. The goal of this study was to develop a single-walled carbon nanotube (SWCNT)-based biosensor for the rapid detection of Ara h 6 in commercial food products. The detection principle of this biosensor was based on the binding of Ara h 6 to the anti-Ara h 6 antibody (pAb) through 1-pyrenibutanoic acid succinimidyl ester. The resistance difference (ΔR) was calculated via linear sweep voltammetry using a potentiostat. The ΔR increased as the Ara h 6 concentrations increased above the range of 100-107 pg/L. A specificity analysis showed that the anti-Ara h 6 pAb selectively interacted with Ara h 6 molecules in the buffer solution (pH 7.4). This research proposes that an SWCNT-based biosensor in self-assembly with antibodies could be an effective tool for the rapid detection of allergen proteins in food. The developed biosensor exhibited higher sensitivity and selectivity. Application studies resulted in precise Ara h 6 detection in peanut-containing processed food.