基于近红外光谱定量分析技术对大米年际的研究

Research on Rice Interannual Based on Near Infrared Spectroscopy Quantitative Analysis

大米是我国居民膳食的重要来源,其新陈度直接影响到大米的营养成分。为了探索大米新陈度的高效、安全、快速检测方法,利用近红外光谱技术对150份大米进行检测研究。结果表明,采用偏最小二乘法建立的定量分析模型对不同年际大米的正确鉴别率高达94.1%。因此,使用近红外光谱对大米进行快速新陈度鉴别可取得较高精确和稳定的检测结果。

Rice is an important source of diet of Chinese residents, and the new age directly affects the nutritional composition of rice. In order to explore the efficient,safe and rapid detection method of rice aging. Tested 150 rice samples using near infrared spectroscopy,the results showed that the correct identification rate of rice with partial least square method was 94.1% in different years. Therefore,using near infrared spectroscopy to identify rice rapidly could obtain high accuracy and stability.