Article Per Year (5 Year)
p-Index From 2019 - 2024
0.408
P-Index
This Author published in this journals
All Journal Environmental and Toxicology Management (ETM)
Farrah Aini Dahalan
Faculty of Civil Engineering Technology, Universiti Malaysia Perlis, Arau, 02600, Malaysia
Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Environmental Science Public Health

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Characterization and morphological study of microbes in treated palm oil mill effluents Afiqah Rosdi; Farrah Aini Dahalan; Loh Zhang Zhan; Peyman Babakhani; Shahriar Shams
Environmental and Toxicology Management Vol. 2 No. 3 (2022): Environmental assessment and its benefits
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/etm.v2i3.3497

Abstract

Palm oil mill effluent (POME) is wastewater generated by palm oil milling. Due to its extremely polluting qualities, it must be treated before being discharged into the water course. This study was aimed to evaluate the bacterial growth of raw and treated POME as well as identifying indigenous microorganisms by determining the morphological characteristics of bacteria that were found in the POME. The bacterial growth was identified by bacterial enumeration of colony forming units (CFU). Besides, the morphological identification of bacteria was determined by using gram staining. The results show the best bacterial growth curve is from serial dilution factor of 10-6 with a total of 2.24 x 10-6 CFU/mL in raw POME and optimum growth on day seven. While for the treated POME, the total is 1.97 x 10-6 CFU/mL and recorded the optimum growth on day ten of incubation. The growth curve indicates the number of colonies in raw POME is higher than treated POME. It concluded that treated POME still has the bacteria although it has been treated. Apart from that, from the morphological identification by gram staining, the bacteria were Bacillus cereus, Bacillus subtilis, Staphylococcus aureus and Micrococcus luteus. From a gram staining, this research obtained all gram positive in purple colour from the POME samples. Two of them in treated POME were in Bacillus shape while the other two from raw and treated POME were in coccus shape, respectively.
Assessment of microbiological growth on surgical face mask Adam Bin Amir; Farrah Aini Dahalan; Lutfiah Anjarwati; Wildan R. Kurniawan
Environmental and Toxicology Management Vol. 2 No. 3 (2022): Environmental assessment and its benefits
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/etm.v2i3.3557

Abstract

Wearing surgical face masks for a long time has a number of physiologic and psychological consequences, as well as the potential to reduce work efficiency. Physical side effects of long-term usage of surgical masks include headaches, trouble breathing, acne, skin breakdown, rashes, and reduced memory. It also obstructs eyesight, communication, and thermal balance. The objective of this research was to investigate the effects of bacteria growth and type of bacteria morphology present on the face mask. Serial dilutions were used to calculate the concentration of microorganisms. As it would usually be impossible to actually count the number of microorganisms in a sample, the sample was diluted and plated to get a reasonable number of colonies to count. Since the dilution factor was known, the number of microorganisms Log CFU per mL was calculated. The CFU count results clarify the growth curve pattern of bacteria formed on agar plate surfaces and revealed some details of bacterial life after their adhesion onto surfaces in the presence of agar. This growth curve exhibited distinct phases: the lag phases, the exponential (log) phases, the stagnant phases and the dead phases. Gram staining and hanging drop method was used to identify the gram positive, gram negative and the bacteria morphology. This study provides insightful on the investigation of bacteria present on surgical face masks which is little available in literature.
Co-Authors Adam Bin Amir Afiqah Rosdi Loh Zhang Zhan Lutfiah Anjarwati Peyman Babakhani Shahriar Shams Wildan R. Kurniawan