#' View k-factors
#'
#' Displays the data tables used for k-factor calculations in `get_kfactors()`, along with notes.
#'
#' @export
#' @examples
#' view_kfactors()
view_kfactors <- function(){
message("\nData from https://static.thermoscientific.com/images/D20827~.pdf :")
# Get buffers data
kfactors_buffers_data <- fpcountr::kfactors_buffers_data
print(kfactors_buffers_data)
message("")
# Get temperature data
kfactors_temperature_data <- fpcountr::kfactors_temperature_data
print(kfactors_temperature_data)
message("\nThe k-factor of water (A975-A900 at 1cm) at ~25oC is 0.172.")
message("Increasing the temperature has a small effect: 30oC = 3% increase to 0.176.")
message("The volume of water is minimally effected by temperature, so path lengths calculated at 25oC should apply to other temperatures.")
message("\nMost aqueous buffers with low salt will be ~ 0.170 and can therefore be approximated to the k-factor of pure water.")
message("eg.")
message("153mM (0.9%) NaCl = 0.168, TE = 0.169, 50mM TBS = 0.166")
message("1M Tris-HCl = 0.157, 2M H2SO4 = 0.154")
message("\nOther solvents, like DMSO, EtOH and MeOH have a bigger effect.")
message("eg.")
message("10% DMSO = 0.148")
message("20% EtOH = 0.092, 20% MeOH = 0.100")
message("100% EtOH and MeOH have negative k-factors, and k-factors with these solvents are no longer reliable methods for calculating path lengths.")
}
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.