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Study of Enzymatic Hydrolysis Reaction l-Menthyl acetate using Lipase Enzyme from Candida antarctica Recombined Aspergillus oryzae by In Vitro and In Silico Yasmin Zafirah; Elvina Dhiaul Iftitah
INDONESIAN JOURNAL OF ESSENTIAL OIL Vol 2, No 2 (2017)
Publisher : Institut Atsiri Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (540.7 KB)

Abstract

Research about the hydrolysis of l-menthyl acetate catalyzed by lipase enzyme from Candida antarctica recombined Aspergillus oryzae has been observed by in vitro and in silico. The reaction by in vitro method performed with variations time and solvent. The result obtained that lipase enzyme from Candida antarctica recombined Aspergillus oryzae were able to catalyze the hydrolysis reaction of l-menthyl acetate to produce l-menthol. The best result is observed at 16 hours with ethanol solvent, which give % conversion about 13,76%. The research followed by in silico using the docking method,  observed that mechanism between amino acid residues to macromolecules as well as the influence of solvents on such interactions. The residues that involved in the reaction are Glu, Thr, Asp, Gln, Ser, His. The ethanol solvent shows a good interaction with macromolecules by forming hydrogen bonds.
Korelasi Jumlah Kendaraan Terhadap Kualitas Udara, Suhu, Dan Kebisingan Di Kota Malang Dengan Pendekatan Berbasis Internet Of Things Hanggara, Fuad Dwi; Aulia Fikriarini M.; Allin Junikhah; Yasmin Zafirah; Fariz Rifqi Zul Fahmi
JURNAL NASIONAL TEKNIK ELEKTRO Vol 13, No 3: November 2024
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v13n3.1259.2024

Abstract

In response to the issues of air pollution, temperature, and noise, this project attempts to create an air quality, temperature, and noise monitoring system using Internet of Things (IoT) technology. This system will comprise physical components and a web platform that delivers real-time environmental reports. Users can readily obtain information regarding air quality, temperature, and noise levels via this platform, which takes advantage of the internet's accessibility. This Internet of Things-based device monitors environmental quality in six high-traffic areas in Malang, Indonesia. The system uses various sensors to monitor air quality, temperature, humidity, dust levels, carbon monoxide (CO), carbon dioxide (CO2), and noise pollution in real-time. Data was collected during peak traffic hours, demonstrating the direct influence of car emissions on air quality.  The findings show that some regions' CO and particulate matter levels surpass safe criteria, notably during peak traffic periods, but CO2, humidity, and noise levels are below acceptable norms. These findings highlight the necessity for urban air pollution reduction initiatives. Additional sensor calibration and communication modifications are recommended to increase system accuracy and dependability. This study gives significant insights for local authorities to manage urban environmental quality and safeguard human health.