Comparing data driven soft independent class analogy (DD-SIMCA) and one class partial least square (OC-PLS) to authenticate sacha inchi (Plukenetia volubilis L.) oil using portable NIR spectrometer

标题
Comparing data driven soft independent class analogy (DD-SIMCA) and one class partial least square (OC-PLS) to authenticate sacha inchi (Plukenetia volubilis L.) oil using portable NIR spectrometer
作者
关键词
-
出版物
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
Volume 242, Issue -, Pages 105004
出版商
Elsevier BV
发表日期
2023-10-06
DOI
10.1016/j.chemolab.2023.105004

向作者/读者发起求助以获取更多资源

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now