Reports on Machine Learning from University of Putra Malaysia Provide New Insigh ts (N-alkane Profiles of Lard and Vegetable Oils, and Their Chemometrics Differe ntiation)

马来西亚普特拉大学的机器学习报告提供了新的见解（猪油和植物油的正构烷烃谱及其化学计量学区分）

Robotics & Machine Learning Daily News2024，Issue(Nov.12) ：74-75.

来源：

NETL
NSTL

Reports on Machine Learning from University of Putra Malaysia Provide New Insigh ts (N-alkane Profiles of Lard and Vegetable Oils, and Their Chemometrics Differe ntiation)

马来西亚普特拉大学的机器学习报告提供了新的见解（猪油和植物油的正构烷烃谱及其化学计量学区分）

扫码查看

摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-研究人员详细介绍机器学习中的新数据。根据新闻报道来自马来西亚雪兰莪的一项研究表明：“这项研究旨在检测来自雪兰莪的脂肪。”各种植物油使用正构烷烃谱，以及化学计量学和机器学习。联合国安全理事会植物油(椰子油、花生油、棕榈油和大豆油)被分离并用气体分析质谱联用法(GC-MS)研究每种脂肪的正构烷烃谱。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Researchers detail new data in Machine Learning. According to news reporting outof Selangor, Malaysia, by NewsRx edit ors, research stated, “This research aims to examine fat fromvarious vegetable oils using n-alkane profiles, as well as chemometrics and machine learning. Unsa ponifiablevegetable oils (coconut, peanut, palm and soybean oils) were separate d and analysed using gaschromatography-mass spectrometry (GC-MS) to investigate the n-alkane profiles of each fat.”

Key words

Selangor/Malaysia/Asia/Chemometric/C yborgs/Emerging Technologies/Machine Learning/University of Putra Malaysia

引用本文复制引用

出版年

2024

Robotics & Machine Learning Daily News

ISSN：

段落导航