利用间接光谱和计量学对不同地点的毕杜里(Calotropis gigantea L.)叶片进行分类

Hafni Zahara, Taufiq Karma, Muhammad Yusuf
{"title":"利用间接光谱和计量学对不同地点的毕杜里(Calotropis gigantea L.)叶片进行分类","authors":"Hafni Zahara, Taufiq Karma, Muhammad Yusuf","doi":"10.22373/lj.v11i2.15096","DOIUrl":null,"url":null,"abstract":"In this study, FTIR spectroscopy paired with PCA was utilized to differentiate biduri plants from different places. All biduri leaf samples from each location were then obtained for their FTIR spectrum in the wave number range of 4000-400 cm-1 and pretreated with the 1st derivative. The preprocessed spectrum was then examined using HCA and PCA chemometric methods; based on the HCA classification results, the biduri samples were divided into three groups, but the selected groups were unable to identify the biduri samples from the geothermal manifestation area. The PCA findings displayed in the plot scores then successfully classified the biduri leaf samples into four groups, with a total variance explained by 63% (PC1 44% and PC2 19%). This developed method can be used to correctly identify biduri plants originating from the geothermal manifestation area of Mount Seulawah Agam, allowing it to be concluded that environmental conditions in the geothermal manifestation area of Mount Seulawah Agam affect the content of secondary metabolites present in biduri plants, as evidenced by the PCA plot, which shows samples from geothermal and non-geothermal locations forming their respective groups.","PeriodicalId":33707,"journal":{"name":"Lantanida Journal","volume":"264 5","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"KLASIFIKASI DAUN BIDURI (Calotropis gigantea L.) DARI LOKASI BERBEDA MENGGUNAKAN SPEKTROSKOPI INFRAMERAH DAN KEMOMETRIK\",\"authors\":\"Hafni Zahara, Taufiq Karma, Muhammad Yusuf\",\"doi\":\"10.22373/lj.v11i2.15096\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, FTIR spectroscopy paired with PCA was utilized to differentiate biduri plants from different places. All biduri leaf samples from each location were then obtained for their FTIR spectrum in the wave number range of 4000-400 cm-1 and pretreated with the 1st derivative. The preprocessed spectrum was then examined using HCA and PCA chemometric methods; based on the HCA classification results, the biduri samples were divided into three groups, but the selected groups were unable to identify the biduri samples from the geothermal manifestation area. The PCA findings displayed in the plot scores then successfully classified the biduri leaf samples into four groups, with a total variance explained by 63% (PC1 44% and PC2 19%). This developed method can be used to correctly identify biduri plants originating from the geothermal manifestation area of Mount Seulawah Agam, allowing it to be concluded that environmental conditions in the geothermal manifestation area of Mount Seulawah Agam affect the content of secondary metabolites present in biduri plants, as evidenced by the PCA plot, which shows samples from geothermal and non-geothermal locations forming their respective groups.\",\"PeriodicalId\":33707,\"journal\":{\"name\":\"Lantanida Journal\",\"volume\":\"264 5\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Lantanida Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.22373/lj.v11i2.15096\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Lantanida Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22373/lj.v11i2.15096","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

在这项研究中,傅立叶红外光谱与 PCA 相结合,用于区分来自不同地方的标本。然后从每个地方的所有标本中获取波数范围为 4000-400 cm-1 的傅立叶红外光谱,并进行 1 次导数预处理。然后使用 HCA 和 PCA 化学计量学方法对预处理后的光谱进行检验;根据 HCA 分类结果,biduri 样品被分为三组,但所选组别无法识别来自地热显现区的 biduri 样品。然后,根据图谱得分显示的 PCA 结果,成功地将标本叶片样品分为四组,总方差解释率为 63%(PC1 44%,PC2 19%)。正如 PCA 图所示,来自地热区和非地热区的样本形成了各自的组别,由此可以得出结论:Seulawah Agam 山地热区的环境条件会影响标本菊植物中次生代谢物的含量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
KLASIFIKASI DAUN BIDURI (Calotropis gigantea L.) DARI LOKASI BERBEDA MENGGUNAKAN SPEKTROSKOPI INFRAMERAH DAN KEMOMETRIK
In this study, FTIR spectroscopy paired with PCA was utilized to differentiate biduri plants from different places. All biduri leaf samples from each location were then obtained for their FTIR spectrum in the wave number range of 4000-400 cm-1 and pretreated with the 1st derivative. The preprocessed spectrum was then examined using HCA and PCA chemometric methods; based on the HCA classification results, the biduri samples were divided into three groups, but the selected groups were unable to identify the biduri samples from the geothermal manifestation area. The PCA findings displayed in the plot scores then successfully classified the biduri leaf samples into four groups, with a total variance explained by 63% (PC1 44% and PC2 19%). This developed method can be used to correctly identify biduri plants originating from the geothermal manifestation area of Mount Seulawah Agam, allowing it to be concluded that environmental conditions in the geothermal manifestation area of Mount Seulawah Agam affect the content of secondary metabolites present in biduri plants, as evidenced by the PCA plot, which shows samples from geothermal and non-geothermal locations forming their respective groups.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
审稿时长
16 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信