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Assessment of Air Quality Using the Plume Air Quality Index Indicator (PAQI): Reference to Five Towns in Nigeria Abulude, Francis Olawale; Acha, Sunday; Adamu, Ademola Samuel; Araifalo, Kikelomo Mabinuola; Kenni, Amoke Monisola; Bello, Lateef Johnson; Gbotoso, Arinola Oluwatoyin
ASEAN Journal of Science and Engineering Vol 3, No 3 (2023): AJSE: December 2023
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ajse.v3i3.48255

Abstract

Air quality is an important issue worldwide due to the health implications on man and livestock. For this reason, different countries constructed the air quality index (AQI) which depicts pollution levels and the impact on health. PAQI is an example of an air quality index built by Plume Labs, Paris, France. It has seven levels (Low, Moderate, High, Very High, Excessive, Extreme, and Airpocalypse) of pollution which are linked to the World Health Organization (WHO) limits. This study aimed to assess the AQI of five different towns in Nigeria using the satellite model data released by Plumes Labs. Daily data of the towns were recorded between 9 am and 7 pm for 60 days and statistically analyzed. The air quality index was determined by whatever pollutant was measuring the highest. It was observed that PM2.5 and 03 (30 and 40 respectively) had the highest concentration levels most times. The results were compared with the PAQI indicator. The air quality of the towns has reached high levels of pollution above the maximum limit for 24 hours established by WHO.
Phytochemical Assessment of The Extracts of Stem (Bark) and Leaves of Theobroma Cocoa Materials: Experimental Procedure and Its Comparison to Literature Abulude, Francis Olawale; Ogunkoya, Mary Omofolarin; Adenibuyan, Grace Bamise; Arifalo, Kikelomo Mabinuola; Akinusotu, Akinyinka; Samuel, Ademola; Adamu, A.; Kenni, Amoke Monisola; Bello, Lateef Johnson
ASEAN Journal for Science and Engineering in Materials Vol 1, No 2 (2022): AJSEM: Volume 1, Issue 2, September 2022
Publisher : Bumi Publikasi Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Plants had already long been utilized as medicines to treat illnesses. Theobroma cocoa is a plant with antifungal, antibacterial, antioxidant, antiemetic, larvicidal, hepatoprotective, anti-diarrheal, anti-inflammatory, antimalarial, anthelmintic, antiarthritic, wound healing, and anticarcinogenic potential. The purpose of this study was to look into the phytochemical compositions of crude extracts of Theobroma cocoa leaves and stem (bark) materials. Carbohydrates, saponins, and phlobatannins were found in higher concentrations in both the stem (bark) and the leaves, whereas tannins, glycosides, resins, and alkaloids were found in lower concentrations in both samples. Depending on the solvent used for extraction, different phytochemical compositions are obtained in each part of the tree. However, for the majority of the phytochemicals, water extraction yielded higher concentrations.
Assessment of Indoor Household Air Quality Using SentinAir's Cost-effective Sensor Abulude , Francis Olawale; Oluwafemi, Matthew Ojo; Arifalo, Kikelomo Mabinuola; Elisha, Jamok Jacob; Kenni, Amoke Monisola
Tropical Aquatic and Soil Pollution Volume 3 - Issue 1 - 2023
Publisher : Tecno Scientifica Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53623/tasp.v3i1.131

Abstract

According to the World Health Organization, particulate matter (2.5 m) is responsible for more than 4 million deaths worldwide. In real-time, low-cost sensors have assisted in the measurement of PM indoors. SentiAir, a low-cost instrument used in this study, monitors particulate matter (1, 2.5, and 10), as well as nitrogen dioxide, sulphur dioxide, carbon dioxide, ozone, temperature, and relative humidity. The goal of this study was to place the sensor in a typical household indoor space and evaluate all variables for 30 days as an initial investigation assessment. The sensor's proper procedure was strictly observed. PM1 (17.80 μg/m3), PM2.5 (25.21 μg/m3), PM10 (27.61 μg/m3), CO2 (419.7 ppm), O3 (24.75 ppb), NO2 (66.52 ppb), SO2 (48.04 ppb), temperature (34.1 °C), and humidity were the results (mean) (64%). Once those findings were compared to those of the WHO, it was discovered that PM2.5 and PM10 were well within the 24-hour guideline values of 25 and 50 μg/m3, respectively. However, PM2.5 may pose a risk. Temperature and humidity had a significant impact on the PM and gases. Cooking, especially frying and baking, produced a great increment in PM indoors.