Prediction of rice’s glycemic index (polished, regression)

This predictive model predicts the glycemic index of rice by deriving from chain length distribution analysis through SEC. The model requires the properties of polished rice, specifically fractions of short-chain and medium-chain amylopectin, amylose, and the resistant starch content of polished rice.

Rice Properties

Enter the data in percentages (0 – 100) for the following properties:

Resistant starch content

The portion of starch not digested in the small intestine, known to lower GI.

Unmilled AM2

AM2: Higher molecular weight amylose

Unmilled MCAP

MCAP: Medium-chain amylopectin.
Amylopectin chains with intermediate degree of polymerization.

Unmilled SCAP1

SCAP1: Shortest-chain amylopectin.

Unmilled SCAP2

SCAP2: Shorter-chain amylopectin than SCAP3 but longer than SCAP1.

Unmilled SCAP3

SCAP3: Short-chain amylopectin, but longer than SCAP1 and SCAP2.

Milled AM1

AM1: Lower molecular weight amylose

Milled MCAP

MCAP: Medium-chain amylopectin.
Amylopectin chains with intermediate degree of polymerization.

Milled SCAP2

SCAP2: Shorter-chain amylopectin than SCAP3 but longer than SCAP1.

Milled SCAP3

SCAP3: Short-chain amylopectin, but longer than SCAP1 and SCAP2.