PREDICTION OF THE TOTAL STARCH AND AMYLOSE CONTENT IN BARLEY USING NEAR-INFRARED REFLECTANCE SPECTROSCOPY

被引：18
|
作者：
Ping, Hua [1 ]
Wang, Jihua [1 ]
Ren, Guixing [2 ]
机构：
[1] Beijing Res Ctr Agrifood Testing & Farmland Monit, Beijing 100097, Peoples R China
[2] Chinese Acad Agr Sci, Inst Crop Sci, Beijing 100081, Peoples R China
来源：
INTELLIGENT AUTOMATION AND SOFT COMPUTING | 2013年 / 19卷 / 03期
关键词：
Barley; Total starch; Amylose; NIR spectroscopy; CLASSIFICATION; VARIETIES; ENDOSPERM; QUALITY; RICE;
D O I：
10.1080/10798587.2013.823719
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Near-infrared reflectance (NIR) spectroscopy combined with reference data was used to predict the total starch content (TSC) and amylose content (AC) in different barley varieties. One hundred and twelve barley samples were analyzed for TSC and AC by AOAC methods. Out of the total samples, ninety were used to develop the calibration models, and twenty two were used to validate the models. The total starch model showed very good correlation with coefficient of determination (R-2) of 0.96 and root mean square error of cross-validation (RMSECV) of 0.79; the correlation of amylose model was calculated to be R-2 = 0.94, RMSECV = 0.94. The results showed that NIR analysis was sufficiently accurate for the determination of total starch and amylose in barley varieties.
引用
收藏
页码：231 / 237
页数：7
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