基于近红外法的鲜食大豆品质快速分析技术

Rapid Analysis of Edamame Quality by Near Infrared Spectroscopy

为建立一种鲜食大豆品质的非破坏性快速检测方法,探究近红外分析技术在鲜食大豆品质检测中应用的可行性,以四川省成都市郫都区种植的66份鲜食大豆样品为材料,采用FOSS近红外谷物分析仪扫描得到光谱,并对所有材料的水分、蛋白质、可溶性糖和粗脂肪含量进行常规实验室分析,利用偏最小二乘法(PLS)建立近红外光谱与化学实验数据的相关模型,并进行模型优化、验证。得到的模型预测范围分别为水分含量60.03%~71.28%、可溶性糖含量2.36%~7.81%、可溶性蛋白含量1.03%~8.56%、粗脂肪含量4.33%~7.60%,预测系数(>0.95)较高,标准误差(<1.0)较低,实验结果显示,利用近红外分析技术建立定标模型用于检测鲜食大豆品质是可行且可靠的,该方法可快速检测鲜食大豆品质且不损坏籽粒,可用于鲜食大豆的种质资源评价、品质分级等。

In order t o establish a fast measurement of the non-destructive quality of edamame and explore the application feasibility of the near infrared Spectroscopy to the detection of edamame quality, 66 edamame samples planted in Pidu district of Chengdu city in Sichuan province were used as materials to get the spectrum through the scan of near infrared spectroscopy grain analyzer. Routine laboratory analysis was performed on moisture, protein,soluble sugar and oil content of all materials. A correlation model of Near Infrared spectrum and experimental datum were established by using PLS. Through the optimization and verification of the model, the predictive range obtained was moisture content of 60.03% -71.28%, soluble sugar content of 2.36% -7.81%, soluble proteins content of 1.03%-8.56%, and oil content of 4.33%-7.60%, with higher correlation coefficient（0.95）, and lower standard error（1.0）. The experimental results showed that using near infrared spectroscopy to establish calibration model was applicable and credible to measure edamame quality. The method could quickly detect the quality of edamame but not damage the grain and can be used for the evaluation of germplasm resources and quality classification of edamame.