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作 者:黄正午 秦丹[1] 张竹青[4] 赵绚花 欧立军 张志旭[2,3] HUANG Zhengwu;QIN Dan;ZHANG Zhuqing;ZHAO Xuanhua;OU Lijun;ZHANG Zhixu(College of Food Science&Technology,Hunan Agricultural University,Changsha 410128,China;College of Horticulture,Hunan Agricultural University,Changsha 410128,China;Engineering Research Center of Ministry of Education for Germplasm Innovation and New Variety selection of Horticultural Crops,Hunan Agricultural University,Changsha 410128,China;Hunan Vegetable Research Institute,Changsha 410105,China)
机构地区:[1]湖南农业大学食品科学技术学院,长沙410128 [2]湖南农业大学园艺学院,长沙410128 [3]湖南农业大学园艺作物种质创新与新品种选育教育部工程研究中心,长沙410128 [4]湖南省蔬菜研究所,长沙410105
出 处:《实验室研究与探索》2023年第9期40-42,共3页Research and Exploration In Laboratory
基 金:云南科技重大专项(202202AE090031);湖南省重点研发项目(2020NK2058)。
摘 要:为了快速准确地判断辣椒成熟度,用近红外光谱仪研究量化检测辣椒的成熟度。该研究利用近红外技术对34个辣椒品种的成熟度进行光谱分析,并将所得的数据与辣椒组分测定值进行关联。结果表明:所得辣椒素、蛋白质、维生素C、纤维素、总酸5种辣椒组分近红外模型的相关系数r依次为0.7760、0.9028、0.2745、0.8056、0.8481,校正标准偏差(校正集的预测均方差)RMSEC依次为0.116、0.137、38.5、5.16、0.469;辣椒的蛋白质含量近红外模型的相关性最高,其RMSEC为0.137,比其余4种组分模型更准确。该模型可以高效检测辣椒成熟度,为合理安排辣椒采收期提供依据。In order to judge the maturity of hot pepper quickly and accurately,the near infrared quantization method was used to detect the maturity of hot pepper.In this study,the mature samples of 34 pepper varieties were analyzed by near-infrared technology,and the data were correlated with the measured values of pepper components.The results show that the correlation coefficients of capsaicin,protein,vitamin C,cellulose and total acid are 0.7760,0.9028,0.2745,0.8056 and 0.8481,respectively.The root mean square error of calibration(RMSEC)are 0.116,0.137,38.5,5.16 and 0.469,respectively;The near infrared model of pepper protein content has the highest correlation,and its RMSEC of 0.137 is more accurate than the other four components model.Therefore,the model can efficiently detect the maturity of hot pepper and provide a basis for reasonable arrangement of pepper harvest time.
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