Direct Quantification of Mixed Organic Acids Based on Spectral Image with Deep Learning-Reference-Cited by-同舟云学术

Direct Quantification of Mixed Organic Acids Based on Spectral Image with Deep Learning

Published:2021-04-14 Issue:14 Volume:6 Page:3540-3547
ISSN:2365-6549
Container-title:ChemistrySelect
language:en
Short-container-title:ChemistrySelect

Author:

Wang Wenjing¹,Luo Run¹,Duan Qiannan²,Feng Yunjin¹,Chen Jiayuan¹,Huang Yicai¹,Bi Sifan¹,Liu Fenli¹,Lee Jianchao¹^ORCID

Affiliation:

1. Department of Environment Science Shaanxi Normal University Xi'an 710062 China

2. Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity College of Urban and Environmental Sciences Northwest University Xi'an 710127 China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/slct.202100444

Reference25 articles.

1. Hydrothermal-treatment desorption of cesium from clay minerals: The roles of organic acids and implications for soil decontamination

2. Low-molecular-weight organic acids as important factors impacting seawater acidification: A case study in the Jiaozhou Bay, China

3. The Relation Between the Urinary Excretion of Citric Acid and Calcium; Its Implications for Urinary Calcium Stone Formation

4. Postprandial metabolomics: GC-MS analysis reveals differences in organic acid profiles of impaired fasting glucose individuals in response to highland barley loads

5. Development of biochar-based green functional materials using organic acids for environmental applications

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