Paul Geladi的遗产:未来化学计量学的先驱

IF 2.1 4区 化学 Q1 SOCIAL WORK
Beatriz Galindo-Prieto
{"title":"Paul Geladi的遗产:未来化学计量学的先驱","authors":"Beatriz Galindo-Prieto","doi":"10.1002/cem.70065","DOIUrl":null,"url":null,"abstract":"<p>This special issue, entitled ‘Paul Geladi Legacy: Pioneering Chemometrics for the Future’, is a tribute to the remarkable scientific contributions of Professor Paul Geladi to the field of chemometrics. This very special issue brings together a comprehensive collection of topics that reflect the breadth and depth of Paul's work in chemometrics. While nice memories and Paul's interests in science have been shared by some of his friends and colleagues in recent publications, this editorial and its related special issue will focus on some of the most relevant scientific areas that Professor Paul Geladi explored throughout his prolific career. The title of this special issue honouring Paul is not trivial. For many years, Paul emphasized the future of chemometrics as an important and in-depth topic that should be part of scientific meetings, conferences and specialized literature. Indeed, as Paul remarked on several occasions, pioneering chemometrics for the future, not only by adapting its methodologies and advances to new challenges and technologies but also creating new chemometric research directions according to evolving trends in science, is crucial for the field of chemometrics to succeed. To achieve this, high-quality teaching and the education of the next generations in chemometrics is especially important, as well as fostering collaboration across research groups. An exemplar of the latter was the initiative led by Paul called ‘The Laboratory Profile’ (published at <i>Journal of Chemometrics</i> in the 90s), which strengthened the global network of chemometric laboratories and showcased the wide array of scientific activities taking place across university, research institutions and industry. The breadth of Paul's knowledge, enhanced from a rich network of scientists, enabled him to successfully apply the most suitable chemometric techniques across various applications.</p><p>Professor Paul Geladi was a dedicated educator. In 1986, when audiovisual resources were still rarely used in statistical lectures, Paul was ahead of his time publishing an article on the use of videotapes as pedagogic tools in chemometrics education. Besides, Paul wrote several tutorials on chemometric methods, two of which stand out as his most cited work. The first is his tutorial on principal component analysis (co-authored with Wold and Esbensen), which covers the most relevant aspects of PCA and its application, whilst the second tutorial focuses on partial least squares regression (co-authored with Kowalski) and covers the concept and algebra of the PLS algorithm. These tutorials published in international journals remain foundational references in the field. In addition, Paul authored three books of high relevance in the field of chemometrics. His book <i>Multi-Way Analysis with Applications in the Chemical Sciences</i> (co-authored with Smilde and Bro) provides chemometricians with the mathematical foundations needed to understand multi-way approaches and practically apply them. His other two books, <i>Multivariate Image Analysis</i> and <i>Techniques and Applications of Hyperspectral Image Analysis</i> (both co-authored with Grahn), have become very popular among chemometricians interested in image analysis. Analysing images was one of the main subjects of Paul's career, which is evident from the abundance of scientific articles that he authored related to multivariate and hyperspectral imaging.</p><p>Among his many contributions to method development, one of the most relevant articles written by Paul in the 80s addressed the linearization and scatter-correction for near-infrared reflectance spectra of meat (co-authored with MacDougall and Martens). Paul produced excellent publications and teaching materials related to many chemometric topics such as data pre-processing, spectroscopy (especially NIR), image analysis, multivariate calibration, multi-way analysis, variable selection, principal component analysis (PCA), partial least squares (PLS), multi-omics data analysis, machine learning, and development of chemometric algorithms. One of the main strengths of Paul was his pioneering ability to utilize and adapt chemometric methodologies to new challenges in a wide range of disciplines. To be as representative as possible of the breadth of Paul's scientific legacy, this special issue contains a selected collection of articles related to chemistry, spectroscopy, hyperspectral imaging, agricultural and food sciences, theory of sampling, environmental health, artificial intelligence, molecular biology, -omics, and development/optimization of chemometric methods.</p><p>I would like to thank all of you for your contributions and support in making this very special issue in honour of Paul at <i>Journal of Chemometrics</i> possible. I am sure Paul would be very happy to see so many good friends and colleagues contributing, whether through writing articles, reviewing or helping in other ways, to honour his life's work.</p>","PeriodicalId":15274,"journal":{"name":"Journal of Chemometrics","volume":"39 9","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/epdf/10.1002/cem.70065","citationCount":"0","resultStr":"{\"title\":\"Paul Geladi Legacy: Pioneering Chemometrics for the Future\",\"authors\":\"Beatriz Galindo-Prieto\",\"doi\":\"10.1002/cem.70065\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>This special issue, entitled ‘Paul Geladi Legacy: Pioneering Chemometrics for the Future’, is a tribute to the remarkable scientific contributions of Professor Paul Geladi to the field of chemometrics. This very special issue brings together a comprehensive collection of topics that reflect the breadth and depth of Paul's work in chemometrics. While nice memories and Paul's interests in science have been shared by some of his friends and colleagues in recent publications, this editorial and its related special issue will focus on some of the most relevant scientific areas that Professor Paul Geladi explored throughout his prolific career. The title of this special issue honouring Paul is not trivial. For many years, Paul emphasized the future of chemometrics as an important and in-depth topic that should be part of scientific meetings, conferences and specialized literature. Indeed, as Paul remarked on several occasions, pioneering chemometrics for the future, not only by adapting its methodologies and advances to new challenges and technologies but also creating new chemometric research directions according to evolving trends in science, is crucial for the field of chemometrics to succeed. To achieve this, high-quality teaching and the education of the next generations in chemometrics is especially important, as well as fostering collaboration across research groups. An exemplar of the latter was the initiative led by Paul called ‘The Laboratory Profile’ (published at <i>Journal of Chemometrics</i> in the 90s), which strengthened the global network of chemometric laboratories and showcased the wide array of scientific activities taking place across university, research institutions and industry. The breadth of Paul's knowledge, enhanced from a rich network of scientists, enabled him to successfully apply the most suitable chemometric techniques across various applications.</p><p>Professor Paul Geladi was a dedicated educator. In 1986, when audiovisual resources were still rarely used in statistical lectures, Paul was ahead of his time publishing an article on the use of videotapes as pedagogic tools in chemometrics education. Besides, Paul wrote several tutorials on chemometric methods, two of which stand out as his most cited work. The first is his tutorial on principal component analysis (co-authored with Wold and Esbensen), which covers the most relevant aspects of PCA and its application, whilst the second tutorial focuses on partial least squares regression (co-authored with Kowalski) and covers the concept and algebra of the PLS algorithm. These tutorials published in international journals remain foundational references in the field. In addition, Paul authored three books of high relevance in the field of chemometrics. His book <i>Multi-Way Analysis with Applications in the Chemical Sciences</i> (co-authored with Smilde and Bro) provides chemometricians with the mathematical foundations needed to understand multi-way approaches and practically apply them. His other two books, <i>Multivariate Image Analysis</i> and <i>Techniques and Applications of Hyperspectral Image Analysis</i> (both co-authored with Grahn), have become very popular among chemometricians interested in image analysis. Analysing images was one of the main subjects of Paul's career, which is evident from the abundance of scientific articles that he authored related to multivariate and hyperspectral imaging.</p><p>Among his many contributions to method development, one of the most relevant articles written by Paul in the 80s addressed the linearization and scatter-correction for near-infrared reflectance spectra of meat (co-authored with MacDougall and Martens). Paul produced excellent publications and teaching materials related to many chemometric topics such as data pre-processing, spectroscopy (especially NIR), image analysis, multivariate calibration, multi-way analysis, variable selection, principal component analysis (PCA), partial least squares (PLS), multi-omics data analysis, machine learning, and development of chemometric algorithms. One of the main strengths of Paul was his pioneering ability to utilize and adapt chemometric methodologies to new challenges in a wide range of disciplines. To be as representative as possible of the breadth of Paul's scientific legacy, this special issue contains a selected collection of articles related to chemistry, spectroscopy, hyperspectral imaging, agricultural and food sciences, theory of sampling, environmental health, artificial intelligence, molecular biology, -omics, and development/optimization of chemometric methods.</p><p>I would like to thank all of you for your contributions and support in making this very special issue in honour of Paul at <i>Journal of Chemometrics</i> possible. I am sure Paul would be very happy to see so many good friends and colleagues contributing, whether through writing articles, reviewing or helping in other ways, to honour his life's work.</p>\",\"PeriodicalId\":15274,\"journal\":{\"name\":\"Journal of Chemometrics\",\"volume\":\"39 9\",\"pages\":\"\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2025-08-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/epdf/10.1002/cem.70065\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Chemometrics\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/10.1002/cem.70065\",\"RegionNum\":4,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"SOCIAL WORK\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Chemometrics","FirstCategoryId":"92","ListUrlMain":"https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/10.1002/cem.70065","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIAL WORK","Score":null,"Total":0}
引用次数: 0

摘要

本期特刊题为“Paul Geladi的遗产:未来化学计量学的先驱”,是对Paul Geladi教授对化学计量学领域卓越的科学贡献的致敬。这个非常特殊的问题汇集了一个全面的主题集合,反映了保罗在化学计量学方面工作的广度和深度。虽然保罗的一些朋友和同事在最近的出版物中分享了他对科学的美好回忆和兴趣,但这篇社论及其相关的特刊将重点关注保罗·格拉迪教授在其多产的职业生涯中探索的一些最相关的科学领域。这期纪念保罗的特刊的标题不是微不足道的。多年来,Paul强调化学计量学的未来是一个重要而深入的话题,应该成为科学会议、会议和专业文献的一部分。事实上,正如Paul在多个场合提到的,开拓未来的化学计量学,不仅要适应新的挑战和技术,而且要根据科学的发展趋势创造新的化学计量学研究方向,这对化学计量学领域的成功至关重要。为了实现这一目标,高质量的教学和下一代化学计量学的教育尤为重要,同时也促进了研究小组之间的合作。后者的一个例子是由Paul领导的名为“实验室简介”的倡议(发表在90年代的化学计量学杂志上),该倡议加强了化学计量实验室的全球网络,并展示了大学,研究机构和行业中发生的广泛的科学活动。Paul的知识广度,从丰富的科学家网络增强,使他能够成功地在各种应用中应用最合适的化学计量学技术。保罗·格拉迪教授是一位敬业的教育家。1986年,当视听资源还很少用于统计学讲座时,保罗已经走在了时代的前面,发表了一篇关于在化学计量学教育中使用录像带作为教学工具的文章。此外,保罗还写了几本关于化学计量学方法的教程,其中两本是他被引用最多的作品。第一本是他关于主成分分析的教程(与Wold和Esbensen合著),涵盖了PCA及其应用的最相关方面,而第二本教程侧重于偏最小二乘回归(与Kowalski合著),并涵盖了PLS算法的概念和代数。这些发表在国际期刊上的教程仍然是该领域的基础参考。此外,保罗还撰写了三本与化学计量学领域高度相关的书籍。他的著作《化学科学中的多路分析与应用》(与Smilde和Bro合著)为化学计量学家提供了理解多路方法并实际应用它们所需的数学基础。他的另外两本书《多元图像分析》和《高光谱图像分析技术与应用》(均与Grahn合著)在对图像分析感兴趣的化学计量学家中非常受欢迎。分析图像是保罗职业生涯的主要课题之一,这一点从他撰写的与多变量和高光谱成像相关的大量科学文章中可以看出。在他对方法发展的众多贡献中,保罗在80年代写的一篇最相关的文章讨论了肉类近红外反射光谱的线性化和散射校正(与MacDougall和Martens合著)。Paul出版了许多与化学计量学主题相关的优秀出版物和教材,如数据预处理,光谱学(特别是近红外),图像分析,多元校准,多路分析,变量选择,主成分分析(PCA),偏最小二乘(PLS),多组学数据分析,机器学习和化学计量学算法的开发。Paul的主要优势之一是他在广泛的学科中利用和适应化学计量学方法的新挑战的开创性能力。为了尽可能地代表Paul的科学遗产的广度,这期特刊包含了与化学、光谱学、高光谱成像、农业和食品科学、采样理论、环境健康、人工智能、分子生物学、组学和化学计量学方法的发展/优化有关的精选文章。我要感谢你们所有人的贡献和支持让这期特别的纪念Paul的《化学计量学杂志》成为可能。我相信保罗会很高兴看到这么多好朋友和同事的贡献,无论是通过写文章、评论还是以其他方式帮助他,以纪念他一生的工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Paul Geladi Legacy: Pioneering Chemometrics for the Future

Paul Geladi Legacy: Pioneering Chemometrics for the Future

Paul Geladi Legacy: Pioneering Chemometrics for the Future

Paul Geladi Legacy: Pioneering Chemometrics for the Future

This special issue, entitled ‘Paul Geladi Legacy: Pioneering Chemometrics for the Future’, is a tribute to the remarkable scientific contributions of Professor Paul Geladi to the field of chemometrics. This very special issue brings together a comprehensive collection of topics that reflect the breadth and depth of Paul's work in chemometrics. While nice memories and Paul's interests in science have been shared by some of his friends and colleagues in recent publications, this editorial and its related special issue will focus on some of the most relevant scientific areas that Professor Paul Geladi explored throughout his prolific career. The title of this special issue honouring Paul is not trivial. For many years, Paul emphasized the future of chemometrics as an important and in-depth topic that should be part of scientific meetings, conferences and specialized literature. Indeed, as Paul remarked on several occasions, pioneering chemometrics for the future, not only by adapting its methodologies and advances to new challenges and technologies but also creating new chemometric research directions according to evolving trends in science, is crucial for the field of chemometrics to succeed. To achieve this, high-quality teaching and the education of the next generations in chemometrics is especially important, as well as fostering collaboration across research groups. An exemplar of the latter was the initiative led by Paul called ‘The Laboratory Profile’ (published at Journal of Chemometrics in the 90s), which strengthened the global network of chemometric laboratories and showcased the wide array of scientific activities taking place across university, research institutions and industry. The breadth of Paul's knowledge, enhanced from a rich network of scientists, enabled him to successfully apply the most suitable chemometric techniques across various applications.

Professor Paul Geladi was a dedicated educator. In 1986, when audiovisual resources were still rarely used in statistical lectures, Paul was ahead of his time publishing an article on the use of videotapes as pedagogic tools in chemometrics education. Besides, Paul wrote several tutorials on chemometric methods, two of which stand out as his most cited work. The first is his tutorial on principal component analysis (co-authored with Wold and Esbensen), which covers the most relevant aspects of PCA and its application, whilst the second tutorial focuses on partial least squares regression (co-authored with Kowalski) and covers the concept and algebra of the PLS algorithm. These tutorials published in international journals remain foundational references in the field. In addition, Paul authored three books of high relevance in the field of chemometrics. His book Multi-Way Analysis with Applications in the Chemical Sciences (co-authored with Smilde and Bro) provides chemometricians with the mathematical foundations needed to understand multi-way approaches and practically apply them. His other two books, Multivariate Image Analysis and Techniques and Applications of Hyperspectral Image Analysis (both co-authored with Grahn), have become very popular among chemometricians interested in image analysis. Analysing images was one of the main subjects of Paul's career, which is evident from the abundance of scientific articles that he authored related to multivariate and hyperspectral imaging.

Among his many contributions to method development, one of the most relevant articles written by Paul in the 80s addressed the linearization and scatter-correction for near-infrared reflectance spectra of meat (co-authored with MacDougall and Martens). Paul produced excellent publications and teaching materials related to many chemometric topics such as data pre-processing, spectroscopy (especially NIR), image analysis, multivariate calibration, multi-way analysis, variable selection, principal component analysis (PCA), partial least squares (PLS), multi-omics data analysis, machine learning, and development of chemometric algorithms. One of the main strengths of Paul was his pioneering ability to utilize and adapt chemometric methodologies to new challenges in a wide range of disciplines. To be as representative as possible of the breadth of Paul's scientific legacy, this special issue contains a selected collection of articles related to chemistry, spectroscopy, hyperspectral imaging, agricultural and food sciences, theory of sampling, environmental health, artificial intelligence, molecular biology, -omics, and development/optimization of chemometric methods.

I would like to thank all of you for your contributions and support in making this very special issue in honour of Paul at Journal of Chemometrics possible. I am sure Paul would be very happy to see so many good friends and colleagues contributing, whether through writing articles, reviewing or helping in other ways, to honour his life's work.

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
Journal of Chemometrics
Journal of Chemometrics 化学-分析化学
CiteScore
5.20
自引率
8.30%
发文量
78
审稿时长
2 months
期刊介绍: The Journal of Chemometrics is devoted to the rapid publication of original scientific papers, reviews and short communications on fundamental and applied aspects of chemometrics. It also provides a forum for the exchange of information on meetings and other news relevant to the growing community of scientists who are interested in chemometrics and its applications. Short, critical review papers are a particularly important feature of the journal, in view of the multidisciplinary readership at which it is aimed.
×
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:604180095
Book学术官方微信