gc-ims-tools – A new Python package for chemometric analysis of GC–IMS data
Author:
Publisher
Elsevier BV
Subject
General Medicine,Food Science,Analytical Chemistry
Reference27 articles.
1. Classification of adulterated honeys by multivariate analysis;Amiry;Food Chemistry,2017
2. Rezazad Bari, Laya; Ghanbari, Alireza; Darvishzadeh, Reza; Giglou, Mousa Torabi; Baneh, Hamed Doulati (2021): Discernment of grape rootstocks base on their response to salt stress using selected characteristics in combination with chemometric tools. In: Food chemistry 365, S. 130408. DOI: 10.1016/j.foodchem.2021.130408.
3. Ion Mobility Spectrometry: Principles and Applications;Borsdorf;Applied Spectroscopy Reviews,2006
4. Brendel, Rebecca; Schwolow, Sebastian; Rohn, Sascha; Weller, Philipp (2020): Gas-phase volatilomic approaches for quality control of brewing hops based on simultaneous GC-MS-IMS and machine learning. In: Analytical and bioanalytical chemistry 412 (26), S. 7085–7097. DOI: 10.1007/s00216-020-02842-y.
5. Volatilomic Profiling of Citrus Juices by Dual-Detection HS-GC-MS-IMS and Machine Learning-An Alternative Authentication Approach;Brendel;Journal of Agricultural and Food Chemistry,2021
Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Bridging odorants and olfactory perception through machine learning: A review;Trends in Food Science & Technology;2024-11
2. Chiral Trapped-Headspace GC-QMS-IMS: Boosting Untargeted Benchtop Volatilomics to the Next Level;Chemosensors;2024-08-17
3. Combining multivariate statistical analysis to characterize changes in amino acids and volatiles during growth of Lou onion pseudostems;Journal of the Science of Food and Agriculture;2024-06-24
4. Gas chromatography ion mobility spectrometry (GC-IMS) dataset of honey samples with different botanical origins;Data in Brief;2024-06
5. Benchtop volatilomics supercharged: How machine learning based design of experiment helps optimizing untargeted GC-IMS gas phase metabolomics;Talanta;2024-05
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3