Abstract
Background: Plant-derived proteins called LTPs are known to be major food allergens and are involved in lipid transport. LTPs are allergens that can trigger severe allergic reactions due to their high stability, which allows them to withstand heat and digestive enzymes.A variety of fruits, vegetables, nuts, and seeds contain these proteins, with peaches, apples, cherries, grapes, and some dried fruits having the highest amounts. As the risk in children under 5 years old and elderly people is high, an early detection using a non-invasive device to be used at home or in the nursing homes is needed. LTPs retain allergenic properties even after processing the food so a double-check made before serving food to elderly people at the nursing homes is helpful. People with LTP allergy may experience symptoms ranging from mild oral itching to severe, life-threatening reactions such as anaphylaxis. An effective detection of LTP allergens is crucial to managing food allergies and ensuring the safety of sensitive individuals due to the potential for cross-reactivity with related foods.
Approach:To improve food safety and comprehensive care for allergy sufferers as part of the integrated care of our society, this study investigates the detection of lipid transfer protein (LTP), a common food allergen, using near-infrared (NIR) spectroscopy coupled with artificial intelligence (AI). This is a work in progress that is being tested in the nursing home called “Fundación Miranda” with the support of Kernet Internet and New Technologies company.
Results: To improve the identification of LTP allergens, it is intended to combine AI with NIR spectroscopy. This method will allow for rapid and accurate real-time analysis of LTP spectral signatures and improve allergy management procedures, making the environment safer and more knowledgeable for people with food allergies. The near-term goals are to collect information and monitor LTP allergen levels in various fruits, including oranges, tomatoes, strawberries, and peaches. AI will be used to forecast trends using data recorded by the NIR spectroscopy equipment. When allergen levels above acceptable limits are detected, this system will also be able to send alerts, allowing rapid action to be taken to stop potential allergic responses.
Implications: In integrated care environments, such as clinics, hospitals and health control centers, the strategy seeks to offer a personalized and easy-to-implement solution, and it is intended to reduce the possibility of exposure to allergens for people with LTP allergies.