Web-based surface plasmon resonance signal processing system for fast analyte analysis
Isa Anshori,
Suksmandhira Harimurti,
Mahendra Baleno Rama,
Rey Ezra Langelo,
Jessika,
Lenny Putri Yulianti,
Gilang Gumilar,
Muhammad Yusuf,
Silmina Prastriyanti,
Brian Yuliarto,
Husna Nugrahapraja,
Wyanda Arnafia,
Irvan Faizal
Affiliations
Isa Anshori
Lab-on-Chip Group, Department of Biomedical Engineering, Institut Teknologi Bandung, Indonesia; Department of Biomedical Engineering, School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Indonesia; Corresponding author.
Suksmandhira Harimurti
Lab-on-Chip Group, Department of Biomedical Engineering, Institut Teknologi Bandung, Indonesia; Department of Biomedical Engineering, School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Indonesia
Mahendra Baleno Rama
Department of Biomedical Engineering, School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Indonesia
Rey Ezra Langelo
Department of Biomedical Engineering, School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Indonesia
Jessika
Lab-on-Chip Group, Department of Biomedical Engineering, Institut Teknologi Bandung, Indonesia
Lenny Putri Yulianti
Informatics Research Groups, School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Indonesia
Gilang Gumilar
Advanced Functional Materials Laboratory, Department of Engineering Physics, Institut Teknologi Bandung, Indonesia
Muhammad Yusuf
Research Center for Molecular Biotechnology and Bioinformatics, Universitas Padjadjaran, Indonesia
Silmina Prastriyanti
Research Center for Molecular Biotechnology and Bioinformatics, Universitas Padjadjaran, Indonesia
Brian Yuliarto
Advanced Functional Materials Laboratory, Department of Engineering Physics, Institut Teknologi Bandung, Indonesia; Research Center for Nanosciences and Nanotechnology, Institut Teknologi Bandung, Indonesia
Husna Nugrahapraja
Genetics and Molecular Biotechnology Research Group, School of Life Sciences and Technology, Institut Teknologi Bandung, Indonesia
Wyanda Arnafia
PT Tekad Mandiri Cipta, Indonesia
Irvan Faizal
Badan Pengkajian dan Penerapan Teknologi (BPPT), Indonesia
Most commercially available Surface Plasmon Resonance (SPR) devices are not equipped with convenient analysis software to be operated by the non-expert. We introduce a web-based application for SPR sample data analysis with Python’s Matplotlib and Bokeh as the primary tools. Users can directly upload and analyze the SPR data output, where the data are stored in the Firebase cloud storage. The web application is embedded with several features, including the graph label, tooltips, and interactive legend. With this application, SPR sample analysis only needs to be run within minutes, and the system is made portable by implementing Python virtual environment.
