Monitoring of Airborne Pollen: A Patent Review

Autor: Daniel Cuevas-González, Juan C. Delgado-Torres, M. A. Reyna, Eladio Altamira-Colado, Juan Pablo García-Vázquez, Martín Aarón Sánchez-Barajas, Roberto L. Avitia
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Atmosphere, Vol 15, Iss 10, p 1217 (2024)
Druh dokumentu: article
ISSN: 2073-4433
DOI: 10.3390/atmos15101217
Popis: Air pollution is recognized by the World Health Organization as the major environmental threat; therefore, air quality is constantly being monitored by monitoring stations. However, the most common atmospheric pollutants being monitored do not include pollen. Among the reasons for the lack of pollen control is that there are different types and sizes of pollen. The largest particles commonly being monitored by air monitoring stations have a maximum aerodynamic diameter of 10 microns, while the aerodynamic diameter of most pollen grains is known to range from 10 to 100 microns. For this reason, most pollen is not being detected by air monitoring stations. For the patents found in a literature review, monitoring pollen concentration in the air requires the discrimination of pollen grains from particulate matter of a similar size, as well as the identification of the type of pollen grains detected, since different pollen types may produce different effects, such as allergic reactions, asthma, and lung cancer, in exposed people. In this work, 15 patent documents regarding pollen monitoring were identified and reviewed using three search engines: Google Patents, WIPO’s PatentScope, and the United States Patent and Trademark Office (USPTO) database. The extracted data from the patents included whether they differentiate pollen type, pollen size, and sensor type and whether they provide real-time data. The results show that 93.33% of the patents identify pollen type, while 80% of the patents identify pollen size. Most of the patents use light-scattering and image sensors and use image processing techniques to analyze particles. Furthermore, 40% of the patents were found to implement artificial intelligence. Further, it was found that only nine patents provide real-time data, which is an important feature of an air monitoring system.
Databáze: Directory of Open Access Journals