Optimizing black highland barley through controlled pearling: Nutritional enhancement, texture modification, and glycemic control

To better understand the nutrition, taste, and hypoglycemic function of black highland barley rice (BHBR) with an appropriate degree of pearling (DOP), a comprehensive assessment of its nutritional profile, textural properties, in vitro starch digestibility, and in vivo glycemic index (GI) was conducted. The results demonstrated that pearling reduced most of the nutrients except for total starch, amylose, amylopectin, and β-glucan, which increased by 25.7 %, 50.6 %, 20.1 %, and 9.6 %, respectively, from BHBR-1 to BHBR-4. Meanwhile, the removal of coarse barley bran significantly improved the texture of cooked BHBR. Pearling also reduced the estimated GI (eGI) and GI values from 74.99 % to 67.98 % and 43.84 %–22.78 %. A comprehensive analysis suggested that a DOP of 24.2 % optimally balances nutrient retention, texture, and hypoglycemic function. This study offers valuable insights for developing functional highland barley products. • Pearling reduced most of the nutrients except for TS, amylose, RS, and β-glucan. • Controlled pearling improved texture properties of cooked BHBR. • Pearling reduced in vitro starch digestibility and in vivo GI values significantly. • Optimal pearling degree 24.2 % balanced nutrition and functionality in BHBR.

Authors

Institutions

Publication Details

Journal
LWT
Published
2025-10-21
DOI
https://doi.org/10.1016/j.lwt.2025.118602
Primary Topic
Food composition and properties
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimizing black highland barley through controlled pearling: Nutritional enhancement, texture modification, and glycemic control

Ruiqing Wang, X.Z. Li, Xinqi Zheng, Kai Jin et al.
LWT
Food composition and properties
article

Optimizing black highland barley through controlled pearling: Nutritional enhancement, texture modification, and glycemic control

Ruiqing Wang, X.Z. Li, Xinqi Zheng, Kai Jin, Fu-sheng Song, Linlin Zhong, Li Hu, Xue Hou, Jia Chen, Qin Lin, Shan Zhao, Xiuhong Shan, Xinyu Lei, Xia Li
article en

Abstract

To better understand the nutrition, taste, and hypoglycemic function of black highland barley rice (BHBR) with an appropriate degree of pearling (DOP), a comprehensive assessment of its nutritional profile, textural properties, in vitro starch digestibility, and in vivo glycemic index (GI) was conducted. The results demonstrated that pearling reduced most of the nutrients except for total starch, amylose, amylopectin, and β-glucan, which increased by 25.7 %, 50.6 %, 20.1 %, and 9.6 %, respectively, from BHBR-1 to BHBR-4. Meanwhile, the removal of coarse barley bran significantly improved the texture of cooked BHBR. Pearling also reduced the estimated GI (eGI) and GI values from 74.99 % to 67.98 % and 43.84 %–22.78 %. A comprehensive analysis suggested that a DOP of 24.2 % optimally balances nutrient retention, texture, and hypoglycemic function. This study offers valuable insights for developing functional highland barley products. • Pearling reduced most of the nutrients except for TS, amylose, RS, and β-glucan. • Controlled pearling improved texture properties of cooked BHBR. • Pearling reduced in vitro starch digestibility and in vivo GI values significantly. • Optimal pearling degree 24.2 % balanced nutrition and functionality in BHBR.

LWTVol. 236
Southwest University (CN), Sinograin (China) (CN), Shanghai Institute of Geological Survey (CN), Sichuan Academy of Agricultural Sciences (CN)
Openalex Percentile: Top 63%
Food composition and properties
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.