A prototype method for the detection and recognition of pigments in environment based on the optical properties simulation

Pishchalnikov, R.Y.; Chesalin, D.D.; Kurkov, V.A.; Shkirina, U.A.; Laptinskaya, P.K.; Novikov, V.S.; Kuznetsov, S.M.; Razjivin, A.P.; Moskovskiy, M.N.; Dorokhov, A.S.; Izmailov, A.Y.; Gudkov, S.V.

Авторы: Pishchalnikov Roman Y., Chesalin Denis D., Kurkov Vasiliy A., Shkirina Uliana A., Laptinskaya Polina K., Novikov Vasiliy S., Kuznetsov Sergey M., Razjivin Andrei P., Moskovskiy Maksim N., Dorokhov Alexey S., Izmailov Andrey Yu, Gudkov Sergey V.
Журнал: Plants
Том: 12
Год издания: 2023
Издательство: MDPI
Местоположение издательства: Basel, Switzerland
DOI: 10.3390/plants12244178
Аннотация: The possibility of early detection of fungal infection in major agroindustrial crops such as wheat is a key challenge in the global strategy to improve the quality of agricultural products. Obviously, many fungi may differ in their metabolism, but it worth noting that they all have the ability to synthesize pigments, particularly carotenoids. Carotenoids are widely spread in nature and are responsible for the orange, yellow, red, and pink colors of the organisms containing them. This optical range, 400-550 nm, corresponds to the allowed |𝑆0 →|𝑆2 ⟩ singlet electronic transition of the carotenoid molecule. The shape of the absorption spectrum corresponding to this transition strongly depends on the immediate environment of the pigment (solvents or protein) and can serve as a marker to detect the presence of a particular carotenoid in a sample. To analyze the spectral features of the fungal pigments we used a multiparametric evolutionary algorithm and the semiclassical theory of optical response. As a result, we were able to distinguish, within the framework of the applied theory, the influence of solvents and the effect of protein environment for carotenoids, thus confirming the possibility of optical selection of infected wheat grains.
Добавил в систему: Разживин Андрей Павлович

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