Assessing Seasonal Effects on Identification of Cultivation Methods of Short-Growth Cycle Brassica chinensis L. Using IRMS and NIRS

文献类型： 外文期刊

第一作者： Liu, Xing

作者： Liu, Xing;Fan, Kai;Lu, Yangyang;Zhao, Hong;Rao, Qinxiong;Geng, Hao;Chen, Yijiao;Song, Weiguo;Liu, Xing;Fan, Kai;Lu, Yangyang;Zhao, Hong;Rao, Qinxiong;Geng, Hao;Chen, Yijiao;Song, Weiguo;Rogers, Karyne Maree;Rogers, Karyne Maree

作者机构：

关键词： Brassica chinensis L.; seasonal effect; stable isotope; NIRS; cultivation method; PLS-DA

期刊名称：FOODS （ 影响因子：5.2； 五年影响因子：5.5 ）

ISSN：

年卷期： 2024 年 13 卷 8 期

页码：

收录情况： SCI

摘要： Seasonal (temporal) variations can influence the delta C-13, delta H-2, delta O-18, and delta N-15 values and nutrient composition of organic (ORG), green (GRE), and conventional (CON) vegetables with a short growth cycle. Stable isotope ratio mass spectrometry (IRMS) and near-infrared spectroscopy (NIRS) combined with the partial least squares-discriminant analysis (PLS-DA) method were used to investigate seasonal effects on the identification of ORG, GRE, and CON Brassica chinensis L. samples (BCs). The results showed that delta N-15 values had significant differences among the three cultivation methods and that delta C-13, delta H-2, and delta O-18 values were significantly higher in winter and spring and lower in summer. The NIR spectra were relatively clustered across seasons. Neither IRMS-PLS-DA nor NIRS-PLS-DA could effectively identify all BC cultivation methods due to seasonal effects, while IRMS-NIRS-PLS-DA combined with Norris smoothing and derivative pretreatment had better predictive abilities, with an 89.80% accuracy for ORG and BCs, 88.89% for ORG and GRE BCs, and 75.00% for GRE and CON BCs. The IRMS-NIRS-PLS-DA provided an effective and robust method to identify BC cultivation methods, integrating multi-seasonal differences.

分类号：

  • 相关文献
作者其他论文 更多>>

微信小程序