Date-Palm trees (Phoenix dactylifera L.) are the most abundant crop in the United Arab Emirates (UAE). The aim of this work was to conduct aerobiological studies on Date-Palm pollens and correlate that to allergenicity. An aerobiological survey was performed at three Date-Palm farms. Radioallergosorbent test (RAST) and total IgE were performed on 477 airborne allergic patients. Small mass bioactive constituents were fractionated and isolated by HPLC. Aerobiological studies demonstrate the short distance traveled by the Date-Palm pollens. Pollen counts were about 800 counts/m3 within the Date-Palm farms and decreased by about 80% just 100 meters away from the farm area and almost diminished beyond 200 meters. Scanning electron micrograph of the pollen grain showed a uniform smooth texture with an oval shape. Out of 477 airborne allergic patients having high total IgE counts, only 2.3% gave positive RAST for Date-Palm pollen. HPLC chromatogram separated the non-protein content of Date-Palm pollen into four distinct peak fractions. The present study revealed that Date-Palm pollens have a low allergic effect on airborne allergic people. The short distance traveled by the pollen, the smooth texture, the short pollination period and low molecular weight biomolecule content may be the main factors behind the low allergenicity.
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http://dx.doi.org/10.1080/09603120500105745 | DOI Listing |
PLoS One
January 2025
Department of Computer Science, University of Jaén, Jaén, Spain.
In the production sector, the usefulness of predictive systems as a tool for management and decision-making is well known. In the agricultural sector, a correct economic balance of the farm depends on making the right decisions. For this purpose, having information in advance on crop yields is an extraordinary help.
View Article and Find Full Text PDFMicroorganisms
December 2024
Departamento de Microbiología y Parasitología, Facultad de Medicina, Universidad Nacional Autónoma de México (UNAM), Circuito Exterior s/n, Coyoacán, Ciudad Universitaria, Mexico City 04510, Mexico.
Airborne fungi are widely distributed in the environment and originate from various sources like soil, plants, decaying organic matter, and even indoor environments. Exposure to airborne fungal spores can cause allergic reactions, asthma, and respiratory infections. Certain fungi can cause serious infections, particularly in individuals with weakened immune systems.
View Article and Find Full Text PDFWorld Allergy Organ J
December 2024
Division of Allergology and Clinical Immunology, Department of Medicine, University of Cape Town, Cape Town, South Africa.
Background: Ragweed is an invasive, highly allergenic weed predicted to expand its habitat with warming global temperatures. Several species have been identified in South Africa for well over a century; however, its presence remained undetected by allergists and aerobiologists until the development of an extensive aerospora monitoring system across South African urban areas since 2019. This paper presents the inventory of preliminary investigation of the airborne pollen and the taxonomic identification of ragweed species.
View Article and Find Full Text PDFWorld Allergy Organ J
December 2024
School of Biomedical Science, Faculty of Health, Queensland University of Technology, Brisbane, Queensland 4059, Australia.
Background: Contemporary airborne pollen records underpin environmental health warnings, yet how pollen monitoring networks are sustained is poorly understood. This study investigated by whom and how pollen monitoring sites across the globe are managed and funded.
Methods: Coordinators listed in the Worldwide Map of Pollen Monitoring Stations were invited to complete a digital questionnaire designed to survey the people and organisations involved, types, and duration of funding sources, as well as uses, purpose, and sharing of pollen information.
PLoS One
November 2024
School of Aerospace Engineering, Universidad Politécnica de Madrid, Madrid, Spain.
Limited research has assessed the accuracy of imputation methods in aerobiological datasets. We conducted a simulation study to evaluate, for the first time, the effectiveness of Gappy Singular Value Decomposition (GSVD), a data-driven approach, comparing it with the moving mean interpolation, a statistical approach. Utilizing complete pollen data from two monitoring stations in northeastern Italy for 2022, we randomly generated missing data considering the combination of various proportions (5%, 10%, 25%) and gap lengths (3, 5, 7, 10 days).
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