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Efficacy Testing of Food Industry Cleaning Agents on the Removal of Engineered Nanoparticles from the Skins of Grape Tomatoes (Solanum lycopersicum) Using Attenuated Total Reflection Fourier Transform Infrared Spectroscopy (ATR FTIR) and Support
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Efficacy Testing of Food Industry Cleaning Agents on the Removal of Engineered Nanoparticles from the Skins of Grape Tomatoes (Solanum lycopersicum) Using Attenuated Total Reflection Fourier Transform Infrared Spectroscopy (ATR FTIR) and Support. |
| 개인저자 | Wood, Elizabeth Alene. |
| 단체저자명 | Washington State University. Food Science. |
| 발행사항 | [S.l.]: Washington State University., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 189 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-11B(E). Dissertation Abstract International |
| ISBN | 9780438104570 |
| 학위논문주기 | Thesis (Ph.D.)--Washington State University, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B.
Adviser: Barbara A. Rasco. |
| 요약 | This study used regulatory-approved food industry cleaning agents to test removal efficiency of engineered nanoparticles from the surfaces of ready-to-eat produce. Grape tomatoes (Solanum lycopersicum) provided the food surface used for testing |
| 요약 | The results indicate that the combination of Fourier Transform Infrared Spectroscopy and Support Vector Machine Learning algorithms has a strong potential for use in industry as an effective means to predict and monitor nanoparticle removal from |
| 일반주제명 | Food science. Nanotechnology. Agriculture. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
