Abstract:
Image analysis is a highly topical and perspective method in biomedical research and practice that underlies the development of portable tests for the autonomous detection of external energy sources outside the laboratory. The purpose of this paper is to implement a new method of detecting antioxidants in food, based on digital image acquisition and processing, using an experimental device with a paper-based biochemical sensor, marked with silver nanoparticles. The research consisted of evaluating the antioxidant potential of some teas (no = 5) and commercial red wines (no = 5), using the LabVIEW device and the LabVIEW graphical programming environment for data processing in linear 3D regression, referencing the RGB spatial vector. The results obtained in the testing of tea and red wine varieties had the following hierarchy regarding their antioxidant concentration (expressed in μg / mL gallic equivalents): Twinings traditional afternoon black tea (10.945); Lipton Green Tea (20.450); Lipton forest fruit tea (20.450); Fares forest fruit tea (29.956); Green Tea Earl Gray (34.708) or Recaş wine (15.698); Pinot Noir Folonari wine (15.698); Chateau Malpere wine (20.450); Cabernet Souvignon wine and Fetească Neagră wine (25.203). In conclusion, we appreciate the great outlook of this fast and cheap method, which can be accessed through software installed on your laptop or smartphone, allowing you to read the result with one click, including by non-experts.
