摘要
应用傅里叶变换近红外光谱仪无损快速获取金柚表皮的近红外光谱信息,根据TQ Analyst 9.0软件的“Discriminant Analyst”(判别分析法)建立金柚品种定性识别模型,模型清晰地将样品分成了3类:白柚、红柚和沙田柚。利用此模型检测了未参与建模的3类金柚样品,正确识别率为100%。
The near infrared spectroscopy (NIR) and chemometrics were used to study the variety differentiation and internal quality detection of golden pomelo in Meizhou. According to "Discriminant Analyst" of TQ Analyst 9.0 software,the qualitative identification model of golden pomelo variety was established. The model clearly divided the samples into three categories: white pomelo,red pomelo and shatian pumelo. The model was used to detect three types of pumelo samples which are not involved in modeling,and the result showed that the correct recognition rate of model was 100 %.
作者
姚婉清
彭梦侠
刘婷
YAO Wan-qing;PENG Meng-xia;LIU Ting(School of Chemistry and Environment,Jiaying University,Meizhou 514015,Guangdong,China)
出处
《食品研究与开发》
CAS
北大核心
2019年第11期166-169,共4页
Food Research and Development
基金
2017广东省“攀登计划”大学生科技创新培育专项资金(pdjhb0472)
关键词
红外光谱
判别分析
金柚
品种鉴别
化学计量学
infrared spectroscopy
discriminant analysis
golden pomelo
variety identification
chemometrics
