为什么近红外光谱技术无与伦比?未来可持续食品生产的绿色分析选择

{"title":"为什么近红外光谱技术无与伦比?未来可持续食品生产的绿色分析选择","authors":"","doi":"10.1016/j.saa.2024.125028","DOIUrl":null,"url":null,"abstract":"<div><p>In this perspective paper we argue for the fact that near infrared (NIR) technology, due to its unique properties, will become an indispensable green sensor technology in the future digitalized and sustainable food production.</p><p>The future of near infrared spectroscopy (NIRS) in green analytics is bright. Ongoing advancements in NIR technology, coupled with increased accessibility and integration with advanced multivariate data analysis such as machine learning and artificial intelligence will further amplify the impact of NIRS across food, agricultural, environmental, and renewable energy domains. The miniaturization, increased portability, and enhanced affordability of NIR instruments, coupled with its integration into emerging technologies, will empower a diverse range of industries and researchers to address pressing global challenges with unprecedented precision and efficiency. The implementation of NIR technology in process analytical technology will enable the transition to future digitalized and sustainable food production. In a future circular economy, where waste streams, co-products and water are reclaimed and valorized, continuous measurements are necessary and in many cases, there are no sensor alternatives to NIR technology.</p></div>","PeriodicalId":433,"journal":{"name":"Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2024-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1386142524011946/pdfft?md5=f04123dd58bc13ef6cdaa10be49a9cfb&pid=1-s2.0-S1386142524011946-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Why nothing beats NIRS technology: The green analytical choice for the future sustainable food production\",\"authors\":\"\",\"doi\":\"10.1016/j.saa.2024.125028\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In this perspective paper we argue for the fact that near infrared (NIR) technology, due to its unique properties, will become an indispensable green sensor technology in the future digitalized and sustainable food production.</p><p>The future of near infrared spectroscopy (NIRS) in green analytics is bright. Ongoing advancements in NIR technology, coupled with increased accessibility and integration with advanced multivariate data analysis such as machine learning and artificial intelligence will further amplify the impact of NIRS across food, agricultural, environmental, and renewable energy domains. The miniaturization, increased portability, and enhanced affordability of NIR instruments, coupled with its integration into emerging technologies, will empower a diverse range of industries and researchers to address pressing global challenges with unprecedented precision and efficiency. The implementation of NIR technology in process analytical technology will enable the transition to future digitalized and sustainable food production. In a future circular economy, where waste streams, co-products and water are reclaimed and valorized, continuous measurements are necessary and in many cases, there are no sensor alternatives to NIR technology.</p></div>\",\"PeriodicalId\":433,\"journal\":{\"name\":\"Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2024-08-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S1386142524011946/pdfft?md5=f04123dd58bc13ef6cdaa10be49a9cfb&pid=1-s2.0-S1386142524011946-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1386142524011946\",\"RegionNum\":2,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"SPECTROSCOPY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy","FirstCategoryId":"92","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1386142524011946","RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SPECTROSCOPY","Score":null,"Total":0}
引用次数: 0

摘要

在本视角论文中,我们认为近红外(NIR)技术因其独特的特性,将成为未来数字化和可持续食品生产中不可或缺的绿色传感器技术。近红外技术的不断进步,以及与机器学习和人工智能等先进的多元数据分析技术的更易获取和集成,将进一步扩大近红外光谱技术在食品、农业、环境和可再生能源领域的影响。近红外仪器的小型化、便携性和经济性的提高,以及与新兴技术的整合,将使各行各业和研究人员能够以前所未有的精度和效率应对紧迫的全球性挑战。近红外技术在过程分析技术中的应用将促进向未来数字化和可持续食品生产的过渡。在未来的循环经济中,废物流、副产品和水都将得到回收和利用,因此必须进行连续测量,而在许多情况下,没有传感器可以替代近红外技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Why nothing beats NIRS technology: The green analytical choice for the future sustainable food production

In this perspective paper we argue for the fact that near infrared (NIR) technology, due to its unique properties, will become an indispensable green sensor technology in the future digitalized and sustainable food production.

The future of near infrared spectroscopy (NIRS) in green analytics is bright. Ongoing advancements in NIR technology, coupled with increased accessibility and integration with advanced multivariate data analysis such as machine learning and artificial intelligence will further amplify the impact of NIRS across food, agricultural, environmental, and renewable energy domains. The miniaturization, increased portability, and enhanced affordability of NIR instruments, coupled with its integration into emerging technologies, will empower a diverse range of industries and researchers to address pressing global challenges with unprecedented precision and efficiency. The implementation of NIR technology in process analytical technology will enable the transition to future digitalized and sustainable food production. In a future circular economy, where waste streams, co-products and water are reclaimed and valorized, continuous measurements are necessary and in many cases, there are no sensor alternatives to NIR technology.

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
CiteScore
8.40
自引率
11.40%
发文量
1364
审稿时长
40 days
期刊介绍: Spectrochimica Acta, Part A: Molecular and Biomolecular Spectroscopy (SAA) is an interdisciplinary journal which spans from basic to applied aspects of optical spectroscopy in chemistry, medicine, biology, and materials science. The journal publishes original scientific papers that feature high-quality spectroscopic data and analysis. From the broad range of optical spectroscopies, the emphasis is on electronic, vibrational or rotational spectra of molecules, rather than on spectroscopy based on magnetic moments. Criteria for publication in SAA are novelty, uniqueness, and outstanding quality. Routine applications of spectroscopic techniques and computational methods are not appropriate. Topics of particular interest of Spectrochimica Acta Part A include, but are not limited to: Spectroscopy and dynamics of bioanalytical, biomedical, environmental, and atmospheric sciences, Novel experimental techniques or instrumentation for molecular spectroscopy, Novel theoretical and computational methods, Novel applications in photochemistry and photobiology, Novel interpretational approaches as well as advances in data analysis based on electronic or vibrational spectroscopy.
期刊最新文献
∼2 μm broadband luminescence in Tm3+/Ho3+/Er3+-doped tellurite glass Assessment of the binding mechanism of ergothioneine to human serum albumin: Multi-spectroscopy, molecular docking and molecular dynamic simulation Determination of aflatoxin B1 in wheat using Raman spectroscopy combined with chemometrics Mn4+-activated Sc-based hexafluoride red phosphor K5Sc3F14: Synthesis, luminescence, and its applications in blue-pump WLEDs Simultaneous quantitative analysis of multiple metabolites using label-free surface-enhanced Raman spectroscopy and explainable deep learning
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1