|
Click on “Download PDF” for the PDF version or on the title for the HTML version. If you are not an ASABE member or if your employer has not arranged for access to the full-text, Click here for options. Classification of Chinese green tea grade using laser-induced breakdown spectroscopyPublished by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org Citation: 2017 ASABE Annual International Meeting 1700453.(doi:10.13031/aim.201700453)Authors: Hongyang Zhang, Qibing Zhu, Min Huang, Ya Guo Keywords: Keywords.LIBS, Tea grade classification, feature selection, SPA, PLSDA. Abstract. Tea is one of the most common and popular beverages all over the world. The accurate identification of tea grade is of great significance to ensure the interests of tea producers and consumers. In this paper, three grades of Wuxi baikhovi tea leaves were analyzed and identified using laser-induced breakdown spectroscopy (LIBS). A total of 40 optimal spectral peaks were automatically selected from full LIBS spectra by using successive projection algorithm (SPA), and the selected spectral peaks mainly represent the elemental difference in C, Fe, Mg, Mn, Al and Ca. Finally, partial least squares discriminant analysis (PLSDA) was used for developing classification model using selected optimal spectral peaks, the result shows the accuracy of 98.8% for 150 test samples. This study demonstrates LIBS is a useful technique for the identification and discrimination of tea grade in various tea products and is promising for real-time, fast, and reliable measurement. (Download PDF) (Export to EndNotes)
|
Authors, please use the Guide for Authors when creating your articles.
Public Access Information
= Public Access (PA)
= PA Limited Time
= Open Access
= Contact Us For Purchase