Table 2 Linear regression equations and the correlation coefficient (R2) of the different monosaccharide standards tested

From: Development of a 1H qNMR method for the identification and quantification of monosaccharides in dietary fibre fractions

Compound

Linear regression equations

Correlation coefficient (R2)

Glucose

y = 1.169*10-3x + 2.051*10-3

R2 = 0.9986

Fructose

y = 5.260*10-3 x –6.395*10-3

R2 = 0.9982

Galactose

y = 1.117*10-3 x  –2.890*10-4

R2 = 0.9987

Ribose

y = 7.980*10-4 x –3.136*10-3

R2 = 0.9993

Arabinose

y = 1.232*10-3 x –1.950*10-4

R2 = 0.9980

Rhamnose

y = 1.197*10-3 x + 3.604*10-3

R2 = 0.9997

Fucose

y = 1.202*10-3 x + 6.979*10-3

R2 = 0.9992

Mannose

y = 1.072*10-3 x + 6.122*10-3

R2 = 0.9993

Xylose

y = 1.305*10-3 x –1.298*10-3

R2 0.9967

Galacturonic acid

y = 1.112*10-3 x + 5.412*10-3

R2 = 0.9994

Glucuronic acid

y = 9.856*10-4 x –1.846*10-3

R2 = 0.9919

  1. The concentration of monosaccharides (x) is expressed in ppm, and y represents the total integral of the NMR resonances associated with each monosaccharide, normalised to the TSP integral (set to 1.00, and corresponding to a concentration of 100 ppm).
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