[vc_empty_space][vc_empty_space]
Signal Processing Algorithm for Pre-processing the Surface Plasmon Resonance Signal Response
Anshori I.a, Solihin A.a, Harun Alrasyid M.a, Harimurti S.a, Gumilar G.a, Yusuf M.b, Prastriyati Sari S.b, Yuliarto B.a, Arnafia W.c
a Lab-on-a-Chip Laboratory, Department of Biomedical Engineering, Institut Teknologi Bandung, Bandung, Indonesia
b Research Center for Molecular Biotechnology and Bioinformatics, Universitas Padjadjaran, Bandung, Indonesia
c PT. Tekad Mandiri Citra, Bandung, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2020 IEEE.Surface plasmon resonance (SPR) is a versatile optical bio-sensing technique which has an ability to detect antibody-antigen molecular binding. In this work, we present a data processing algorithm that can process and analyze the data output from SPR equipment. The SPR data output is typically a non-periodic square wave, an indicator that a biological substance is captured, with continuous noises. To remove the outliers and smoothen the data, moving average and Savitzky-Golay Filter were employed. Then, a change point detection method and polynomial regression were used to isolate the buffer data as baseline and give baseline prediction which is later used to calculate and quantify the response. From this study, the algorithm is expected to give an accurate baseline prediction and response calculation. Based on the results, the algorithm was able to detect the SPR signal response (change point detection) with an error below 15%. Thus, this algorithm would enable the researcher to analyze and interpret the SPR data much faster and simpler.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Baseline predictions,Biological substance,Change point detection,Data processing algorithms,Response calculation,Savitzky-Golay filter,Signal processing algorithms,Surface plasmon resonance signals[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]moving average,polynomial regression,savitzky-golay change point detection,Surface plasmon resonance[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text]ACKNOWLEDGMENT The authors would like to thank to Badan Pengkajian dan Penerapan Teknologi (BPPT) for the funding support and the research project management of the National Task Force of the Republic of Indonesia for Covid-19 (TFRIC-19) Non-PCR test Subgroup as well as PT Tekad Mandiri Citra (TMC) for the generous support in providing the NanoSPR8 equipment for this research work. Additionally, the authors would also like to thank to Pusat Riset Bioteknologi Molekuler dan Bioinformatika Universitas Padjadjaran for providing the facilities required to conduct the whole research experiments.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/ICRAMET51080.2020.9298617[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]