Three different preprocessing algorithms, namely orthogonal signal correction (OSC), standard normal variate transformation (SNV) and multiplicative scatter correction (MSC), were applied in order to eliminate effects caused by sample preparation and sample inhomogeneities.
Through comparison we unveil that both changes in the band structure resulting from a different sample thickness and the disorder induced by sample preparation and graphene/substrate interface are responsible for the MR behavior in the thickness variation.
XAS spectral quality mostly reflects the lead concentration in a given sample, but also is affected by sample preparation and presentation, and differences in experimental setup (e.g., detector, beam line, and beam condition).
These noise sources include mechanical noise that caused by the instrument settings, electronic noise from the fluctuation in an electronic signal and travel distance of the signal, chemical noise that is influenced by sample preparation and sample contamination, temperature in the flight tube and software signal read errors.
The results from these techniques are limited by sample preparation constraints and a large area (or number) of an intact plant part cannot be studied.
For saving the time and cost by reducing multiple sample preparations and mobile phases, HPLC-DAD-ELSD was used for simultaneous determination of intact flavonol glycosides and terpene lactones [ 23].
In order to correct many types of systemic bias created by sample preparation, amplification, sequencing (or hybridization), and alignment, it uses both a ChIP sample and a negative control sample (input DNA or mock-ChIP with IGG) to compute FDR at each specific location.
Intra-assay precision was monitored by repeated sample preparation and analysis by the same operator.
Moreover, the reproducibility of results is often hindered by sample preparation, including control of moisture levels and contact conditions with the imaging window.
