LIU Zhiyang,LIU Yan.Determination of Apple Storage Period by UsingElectronic Senses and Chemometrics[J].Northern Horticulture,2017,41(22):137-141.[doi:10.11937/bfyy.20170922]
电子感官结合化学计量学对苹果贮藏期鉴别的研究
- Title:
- Determination of Apple Storage Period by UsingElectronic Senses and Chemometrics
- Keywords:
- apple; storage period; total acid; solid content; partial least squares (PLS)
- 文献标志码:
- A
- 摘要:
- 以苹果为试材，采用电子感官与化学计量学相结合的方法，采用偏最小二乘法（PLS）进行回归，建立贮藏期有机酸、固形物含量的数学模型，并对回归方法进行统计分析，以找到快速测定苹果贮藏期和贮藏期间总酸和固形物含量的方法。结果表明：电子鼻第1、2主成分贡献率总计达到了90.616%，区分效果良好；苹果中总酸验证集的决定系数（R2v）为 0.906 3，预测均方根误差（RMSEP）为 0.888 1，RPD为2.75；固形物含量验证集的决定系数（R2v）为 0.917 0，预测均方根误差（RMSEP）为 0.747，RPD为2.69，均达到了较好的预测结果，表明该方法对快速检测苹果贮藏期和贮藏期总酸和固形物含量是可行的。
- Abstract:
- Apple was taken as test material,apple samples was determined with electronic nose and its contents of total acids，solid were also determined interval two months.The experimental data was planed to established the mathematic model of total acids and solid content via partial least squares (PLS) regression，then statistical regression analysis to rapid determine the apple storage period and the content of total acid and solid.The results showed that first and second principal component contribution rate of electronic nose reached 90.616%，good discrimination，and total acid validation set decision coefficient (R2v) was 0.906 3，predict root mean square error (RMSEP) was 0.888 1，the relative analysis error (RPD) was 2.75；solids content validation set decision coefficient (R2v) was 0.917 0，predict root mean square error (RMSEP) was 0.747，RPD was 2.69，these model results were displayed a good prediction and showed that the method was feasible of rapid detection total acid and solid content of apple storage periods.
参考文献/References:
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备注/Memo
第一作者简介：刘志洋（1983-），女，硕士，讲师，研究方向为园艺植物与植物生理。E-mail:zhiyangliucc@126.com.