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  An eco-friendly, low-cost, and automated strategy for phosphoproteome profiling

Zhang, W., Lai, C., Huang, W., Li, W., Wu, S., Kong, Q., et al. (2022). An eco-friendly, low-cost, and automated strategy for phosphoproteome profiling. Green Chemistry, 24, 9697-9708. doi:10.1039/D2GC02345H.

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Genre: Journal Article
Alternative Title : GREEN CHEMISTRY

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 Creators:
Zhang, WY1, Author
Lai, CK1, Author
Huang, WJ1, Author
Li, WY1, Author
Wu, SW1, Author
Kong, Q1, Author
Hopkinson, AC1, Author
Fernie, A. R.2, Author           
Siu, KWM1, Author
Yan, SJ1, Author
Affiliations:
1external, ou_persistent22              
2Central Metabolism, Department Gutjahr, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_3396323              

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Language(s): eng - English
 Dates: 2022-11-242022-11-24
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1039/D2GC02345H
 Degree: -

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Title: Green Chemistry
  Other : Green Chem.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Cambridge, UK : Royal Society of Chemistry
Pages: - Volume / Issue: 24 Sequence Number: - Start / End Page: 9697 - 9708 Identifier: ISSN: 1463-9262
CoNE: https://pure.mpg.de/cone/journals/resource/954925625301