| 大米直链淀粉含量的近红外光谱分析 |
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| 引用本文： | 刘建学,吴守一,方如明. 大米直链淀粉含量的近红外光谱分析[J]. 农业工程学报, 2000, 16(3): 94-96 |
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| 作者姓名： | 刘建学 吴守一 方如明 |
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| 作者单位： | 1. 洛阳工学院
2. 江苏理工大学 |
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| 摘 要： | 大米的直链淀粉含量是影响大米蒸煮和加工特性的最重要因素之一，常被用作蒸煮米质构特性评价指标。该文对不同粒度、不同类型大米样品进行了近红外光谱分析，建立了大米直链淀粉含量的预测模型，（精米样品）预测值与化学分析值的相关系数达0.95。预测标准差、平均相对误差分别为0.56和3.1%。
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| 关 键 词： | 大米；直链淀粉含量；近红外光谱；主成分分析；品质分析 |
| 收稿时间： | 1999-04-20 |
| 修稿时间： | 1999-04-20 |
Measurement of Rice Apparent Amylose Content by Near Infrared Spectroscopy |
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| Liu Jianxue,Wu Shouyi and Fang Ruming. Measurement of Rice Apparent Amylose Content by Near Infrared Spectroscopy[J]. Transactions of the Chinese Society of Agricultural Engineering, 2000, 16(3): 94-96 |
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| Authors: | Liu Jianxue Wu Shouyi Fang Ruming |
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| Affiliation: | Liu Jianxue;(Luoyang Institute of Technology, L uoyang 471039);Wu Shouyi |
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| Abstract: | The apparent amylose content (AAC) is one of the important parameters to affect the cooking and processing characteristics. The chemical measurement of rice AAC is very expensive and time consuming. In recent years, near infrared spectroscopy(NIRS), a rapid analytical technique is used for testing agricultural products. The prediction models for rice samples with different particles and types were established by NIRS. The correlation coefficient between predicted value and chemical value was 0.95, standard error of prediction (SEP) was 0.56, and mean relative error (MER) was 3.1%. |
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| Keywords: | rice apparent amylose content near infrared spectroscopy principal component regression quantitative analysis |
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