A　glucose　microcirculation　compartmental　model　(GMCM)　for　predicting　blood　glucose　concentrations　from　the　reference　interstitial　fluid　(ISF)　glucose　concentrations　was　proposed　before.　It　was　used　to　compensate　the　delay　error　in　ISF　in　order　to　improve　the　prediction　accuracy　and　to　facilitate　the　clinical　application　of　continuous　blood　glucose　monitoring.　In　this　paper,　many　physiological　parameters　in　GMCM　reflecting　delay　and　transport　properties　were　discussed　in　details.　The　significance　and　influence　of　the　parameters,　diffusion　distance　(x),　pressure　gradient-driven　transport　ratio　(R-st(arling)),　blood　flow　velocity　(F),　glucose　capillary　permeability　(P),　glucose　diffusion　coefficient　(D),　on　the　model　were　simulated　and　analysed.　One　group　of　blood　(ISF)　glucose　values　was　set　as　input　for　the　model　with　one　varied　parameter　and　other　fixed　parameters　to　predict　ISF　(blood)　glucose　concentrations.　The　results　verified　that　F　and　P　have　much　influence　on　the　model　and　others　play　more　minor　roles.　And　some　have　positive　influence　on　the　model,　like　P,　while　others　have　a　reverse　effect,　like　F.　All　parameters　can　be　modulated　for　different　species　or　different　physiological　status　during　the　model　application.