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In this study, we report a method for finding an analytical sequence that allows to simultaneously determine two analytes with very similar physical and chemical characteristics, such as amoxicillin and clavulanic acid, using sequential injection analysis (SIA) with a diode-array spectrophotometric detector and multivariate curve resolution with alternating least squares (MCR-ALS).
Samples were prepared daily and analyzed in the analytical sequence.
Blanks samples with internal standards were also analyzed during the analytical sequence to confirm the results.
Internal standards recovery was assessed for each analytical sequence to monitor the method performance.
In this study, three category 3 particles were analyzed by ToF-SIMS using Au+ ion beams to establish a method in the analytical sequence of Itokawa grains and to clarify the chemical composition related to their origins.
The investigated approach might represent part of a complex analytical sequence capable of using both the spatial distribution of fuzzy continuous classes and the landform analysis to formulate a spatially detailed territorial model representing the basic level of information for a locally oriented land use assessment.
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After a minimum of 3 hours of instrument warm up and setting, analytical sequences were run automatically using a CETAC ASX-100 autosampler.
Any ambiguities were resolved using the Forensic Analytical sequencing kit and AmbiSolv™ when needed (Invitrogen).
In fact, a system that can integrate the computational model with the current analytical sequencing technology may have the potential to actually "sequence" entire biologically active HS chains.
The purpose of this empirical study was to determine the extent to which three different objective analytical methods—sequence analysis, surface cohesion analysis, and lexical cohesion analysis can most accurately identify specific characteristics of online interaction.
About 7% standards and solvent blanks were included in the analytical sample sequences.
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