Food allergies pose significant health risks, affecting millions worldwide, with the prevalence rising over the past decades. Traditional detection methods, such as monoclonal and polyclonal antibodies, are often costly, labor-intensive, and prone to cross-reactions. The need for accurate, efficient, and cost-effective allergen detection methods is more pressing than ever.
