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All Journal Berkala Penelitian Hayati Journal of Biomedical Science and Bioengineering
Siti Fauziyah Rahman
Biomedical Engineering Program, Department Of Electrical Engineering, Faculty Of Engineering, Universitas Indonesia Department Of Electrical Engineering, Faculty Of Engineering, Universitas Indonesia,
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Immunology & microbiology Materials Science & Nanotechnology Medicine & Pharmacology

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Wiping out the covid-19 pandemic through bioinformatics: a review on database and web tools applications Nur Imaniati Sumantri; Nagisa Eremia Anju; Siti Fauziyah Rahman
JURNAL PENELITIAN BIOLOGI BERKALA PENELITIAN HAYATI Vol 26 No 2 (2021): June 2021
Publisher : The East Java Biological Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23869/bphjbr.26.2.20212

Abstract

The COVID-19 is an illness caused by SARS-CoV-2 that has ended up a widespread since March 2020 as declared by WHO. This condition gives a huge impact on miscellaneous sectors enforcing advance use of technology and information system, especially in scientific and medical community. Bioinformatics as a multidisciplinary method plays important role to overcome the COVID-19 outbreak in the early-stage through data exchange in virtual databases. There are a number of free access databases containing basic to complex information of SARS-CoV-2, such as genetic data sequence, epidemiology, evolutionary analysis, pharmacology, and so on. Bioinformatics allows us to analyze the data further to reveal new information applied in biomedical technology activities. Thus, bioinformatics helps the scientists, clinicians, and government learn the genomic characteristics of SARS-CoV-2, to trace the SARS-CoV-2 spread, and select and develop biomarker for reliable diagnostic tools, and design the drug and vaccine for SARS-CoV-2. This review aims to view insights on uses of bioinformatics methods and the databases related to SARS-CoV-2
Electrochemical Detection and Spectrophotometry of Dopamine using Commercial Screen-Printed Electrodes Eunike Thirza Hanita Christian; Basari Basari; Siti Fauziyah Rahman; Yudan Whulanza
Journal of Biomedical Science and Bioengineering Vol 2, No 1 (2022)
Publisher : Center for Biomechanics, Biomaterials, Biomechantronics and Biosignal Processing (CBOIM3S)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jbiomes.2022.v2i1.7-13

Abstract

Lab-on-chip is miniaturized devices integrated into a chip which can run one or several analyses which are usually done in laboratory settings, such as biochemical detection. Dopamine is an important neurotransmitter which regulates hormones, control of movement, emotion, attention, and motivation. Excess, lack, and dysregulation of dopamine could cause numbers of diseases and disorders. The technique used to measure and evaluate dopamine usually are expensive to run, require longer time to run, require some technical qualification to run, require expensive equipments, and some are invasive to do. These are the reasons why a lab-on-chip system is needed to make the detection of dopamine concentration faster, easier, and more portable. This paper studied the accuracy of using electrochemical detection to measure the concentration of liquid specimens of dopamine compared to uv/vis spectrophotometry. Electrochemical detection method named cyclic voltammetry was chosen for this study. The hypothesis for this study is that both peak current (ip) and absorbance positively correlate to concentration, therefore both could be used with minimal error margin. For this study, the peak current (ip) and absorbance of different concentrations of liquid specimen of dopamine are measured, and its regression were observed. It was shown that the concentration of liquid specimens of dopamine is linear to both anodic peak current (ipa) and absorbance. Due to the high R2 values of 0.9883, electrochemical detection could be used and implemented to detect dopamine concentration for application of lab-on-chip, as it is more portable and requires less volume of sample compared to spectrophotometry.
Co-Authors Basari Basari Eunike Thirza Hanita Christian Nagisa Eremia Anju Nur Imaniati Sumantri Yudan Whulanza