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A Non-destructive, Inexpensive Method for Predicting TOR OC and EC in IMPROVE and CSN using Infrared Spectra

机译：一种非破坏性，廉价的方法，用于使用红外光谱预测改进和CSN的TOR OC和EC

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1. Began analyzing all IMPROVE samples in 2015 2. Will begin analyzing all CSN samples in 2017 3. Extending calibrations to entire networks.

机译：1.开始分析2015年的所有改进样本2. 2017年将开始分析所有CSN样本3.将校准扩展到整个网络。

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《Atmospheric optics conference》|2016年|p. 583-1094|共11页
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Ann M. Dillner; Andrew T. Weakley; Giulia Ruggeri; Matteo Reggente; Satoshi Takahama;
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机译：基于近红外高光谱技术和化学计量学的非破坏性方法筛选单个红葡萄中的花色苷
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3. Improved Characterization Of Fourier Transform Infrared Spectra Analysis For Post-etched Ultra-low-κ Sioch Dielectric Using Chemometric Methods [J] . Thomas Oszinda, Volkhard Beyer, Matthias Schaller, Journal of Vacuum Science & Technology. B, Microelectronics and Nanometer Structures . 2009,第1期

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4. A Non-destructive, Inexpensive Method for Predicting TOR OC and EC in IMPROVE and CSN using Infrared Spectra [C] . Ann M. Dillner, Andrew T. Weakley, Giulia Ruggeri, Atmospheric optics conference . 2016

机译：使用红外光谱预测IMPROVE和CSN中TOR OC和EC的非破坏性廉价方法
5. Spectral simulation methods for enhancing qualitative and quantitative analyses based on infrared spectroscopy and quantitative calibration methods for passive infrared remote sensing of volatile organic compounds. [D] . Sulub, Yusuf Ismail. 2006

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6. An Improved Linear Spectral Emissivity Constraint Method for Temperature and Emissivity Separation Using Hyperspectral Thermal Infrared Data [O] . Xinyu Lan, Enyu Zhao, Zhao-Liang Li, 2019

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7. Screening of anthocyanins in single red grapes using a non-destructive method based on the near infrared hyperspectral technology and chemometrics [O] . Martínez Sandoval, Jesús Raúl, Nogales Bueno, Julio, Rodríguez Pulido, Francisco José, 2015

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机译：改进的方法，使用葡萄球菌β-溶血素，检测由霍乱弧菌生物型El Tor产生的溶血素

A Non-destructive, Inexpensive Method for Predicting TOR OC and EC in IMPROVE and CSN using Infrared Spectra

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