| 书目名称 | Spectroscopic Techniques & Artificial Intelligence for Food and Beverage Analysis |
| 编辑 | Ashutosh Kumar Shukla |
| 视频video | |
| 概述 | Demonstrates how mathematical modeling can enrich spectral data analysis.Includes multi-target regression methods used to enhance the spectral data analysis experience.Interdisciplinary in focus, it w |
| 图书封面 |  |
| 描述 | This informative book discusses the various spectroscopic techniques applied in the analysis of food and beverages. The respective chapters cover techniques such as Laser-Induced Breakdown Spectroscopy (LIBS), FTIR spectroscopy, Electron Spin Resonance (ESR) spectroscopy and Thermoluminescence. The book also presents artificial intelligence applications that can be used to enhance the spectral data analysis experience in food safety and quality analysis. .Given its scope, the book will appeal to novice researchers and students in the area of food science. It offers an equally exciting read for food scientists and engineers working in the food industry.. |
| 出版日期 | Book 2020 |
| 关键词 | Artificial Intelligence; IR-spectroscopy; LIBS Spectroscopy; Mass Spectrometry; TL Spectroscopy; UV-Visib |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-15-6495-6 |
| isbn_softcover | 978-981-15-6497-0 |
| isbn_ebook | 978-981-15-6495-6 |
| copyright | Springer Nature Singapore Pte Ltd. 2020 |
发表于 2025-3-21 16:14:42
