title: Accelerated multiple-pass moving average: a novel algorithm for baseline estimation in CE and its application to baseline correction on real-time bases.
abstract: We present a novel algorithm for baseline estimation in CE. The new algorithm which we have named as accelerated multiple-pass moving average (AMPMA) is combined to three preexisting low-pass filters, spike-removal, moving average, and multi-pass moving average filter, to achieve real-time baseline correction with commercial instrumentation. The successful performance of AMPMA is demonstrated with simulated and experimental data. Straightforward comparison of experimental data clearly shows the improvement AMPMA provides to the linear fitting, LOD, and accuracy (absolute error) of CE analysis.
authors.affiliation: Postgrado de Instrumentación, Escuela de Física, Facultad de Ciencias, Universidad Central de Venezuela, Apartado, Los Chaguaramos, Caracas, Venezuela.
authors.forename: Alejandro
authors.initials: A
authors.lastname: Solis
authors.forename: Mathew
authors.initials: M
authors.lastname: Rex
authors.forename: Andres D
authors.initials: AD
authors.lastname: Campiglia
authors.forename: Pedro
authors.initials: P
authors.lastname: Sojo
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D003596:Cytosine / Q000302:isolation & purification; D019075:Electrophoresis, Capillary / Q000379:methods*; D006046:Gold / Q000737:chemistry; D053768:Metal Nanoparticles / Q000737:chemistry; D015203:Reproducibility of Results
chemical_list: D006046:Gold; D003596:Cytosine