文献类型： 外文期刊

作者： Li Cheng ¹ ; Su Bangsong ³ ; Zhao Tianlun ³ ; Li Cong ³ ; Chen Jinhong ¹ ; Zhu Shuijin ¹ ;

作者机构： 1.Zhejiang Univ, Hainan Inst, Sanya 572025, Peoples R China

2.Chinese Acad Agr Sci, Agr Genom Inst Shenzhen, Minist Agr, Lingnan Guangdong Lab Modern Agr,Genome Anal Lab, Shenzhen 518124, Guangdong, Peoples R China

3.Zhejiang Univ, Dept Agron, Zhejiang Key Lab Crop Germplasm, Hangzhou 310058, Peoples R China

关键词： Intact cottonseed; Chemometrics; Gossypol; Near-infrared spectroscopy

期刊名称：JOURNAL OF COTTON RESEARCH （ 影响因子：2.6； 五年影响因子：2.8 ）

ISSN： 2096-5044

年卷期： 2021 年 4 卷 1 期

页码：

收录情况： SCI

摘要： Background: Gossypol found in cottonseeds is toxic to human beings and monogastric animals and is a primary parameter for the integrated utilization of cottonseed products. It is usually determined by the techniques relied on complex pretreatment procedures and the samples after determination cannot be used in the breeding program, so it is of great importance to predict the gossypol content in cottonseeds rapidly and nondestructively to substitute the traditional analytical method. Results: Gossypol content in cottonseeds was investigated by near-infrared spectroscopy (NIRS) and high-performance liquid chromatography (HPLC). Partial least squares regression, combined with spectral pretreatment methods including Savitzky-Golay smoothing, standard normal variate, multiplicative scatter correction, and first derivate were tested for optimizing the calibration models. NIRS technique was efficient in predicting gossypol content in intact cottonseeds, as revealed by the root-mean-square error of cross-validation (RMSECV), root-mean-square error of prediction (RMSEP), coefficient for determination of prediction (R-p(2)), and residual predictive deviation (RPD) values for all models, being 0.05 similar to 0.07, 0.04 similar to 0.06, 0.82 similar to 0.92, and 2.3 similar to 3.4, respectively. The optimized model pretreated by Savitzky-Golay smoothing + standard normal variate + first derivate resulted in a good determination of gossypol content in intact cottonseeds. Conclusions: Near-infrared spectroscopy coupled with different spectral pretreatments and partial least squares (PLS) regression has exhibited the feasibility in predicting gossypol content in intact cottonseeds, rapidly and nondestructively. It could be used as an alternative method to substitute for traditional one to determine the gossypol content in intact cottonseeds.