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开发NIRS校准曲线,用于烤甜中的糖

Victor A Amankwaah^1,2, Sharon Williamson², Rong Reynolds³

¹CSIR - Crops Research Institute, Kumasi, Ghana.

Journal of the science of food and agriculture

|June 21, 2023

概括

近红外反射光谱 (NIRS) 准确地测量了烤甜中的糖含量,有助于开发符合消费者偏好的品种. 这种高吞吐量方法对于培育更美味的甜品种至关重要.

科学领域:

农业科学农业科学
食品科学食品科学食品科学
生物技术是生物技术.

背景情况:

甜储存根的糖含量变化会影响营养价值和消费者的吸引力.
培育具有可取糖分特征的甜品种需要高效的高通量表型化方法.

研究的目的:

开发和验证近红外反射光谱 (NIRS) 校准模型,用于量化烤甜储存根中的糖含量.
评估NIRS在甜育种计划中糖分配置文件的高通量选方面的有效性.

主要方法:

开发了NIRS预测模型,使用147种已知含糖量 (葡萄糖,果糖,糖糖,麦芽糖) 的甜基因型.
在烤甜样本上进行了校准,交叉验证和外部验证.
分析的确定系数 (R2c,R2cv,r2) 和标准偏差与交叉验证标准误差的比率.

主要成果:

在校准和交叉验证过程中,NIRS模型对葡萄糖 (R2c=0.96,R2cv=0.92),果糖 (R2c=0.93,R2cv=0.89),糖糖 (R2c=0.96,R2cv=0.96) 和麦芽糖 (R2c=0.96,R2cv=0.93) 显示出高精度.
外部验证显示,葡萄糖 (r2=0.88),果糖 (r2=0.88) 和糖糖 (r2=0.86) 的相关性很强,由于人口变异性较低,麦芽糖 (r2=0.49) 的结果中等.
交叉验证的标准偏差与标准误差的比率在所有糖类中都超过了3,证实了模型的稳定性.

结论:

NIRS是一种可靠和有效的工具,用于选烤甜储存根中的糖含量.
这种方法可以显著帮助育种计划开发改进的甜品种,以适应消费者偏好.
尼尔斯 (NIRS) 便于选择具有所需糖分配置的甜,增强营养和饮食的重要性.

关键词:

护士们的护士们消费者偏好消费者偏好高通量表型化 (high-throughput phenotyping) 是一种高通量表型化方法.营养质量营养质量营养质量根存储根存储根存储甜的储存根源甜的储存根源

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