Application of Graphdiyne in Surface-Assisted Laser Desorption Ionization Mass Spectrometry.


Journal

ACS applied materials & interfaces
ISSN: 1944-8252
Titre abrégé: ACS Appl Mater Interfaces
Pays: United States
ID NLM: 101504991

Informations de publication

Date de publication:
13 Jan 2021
Historique:
pubmed: 31 12 2020
medline: 1 4 2021
entrez: 30 12 2020
Statut: ppublish

Résumé

Graphdiyne (GD) is a new kind of carbon nanomaterial which has carbon-carbon triple bonds to form a layered structure. Here, we report the application of GD as the matrix for small molecule analysis in laser desorption ionization mass spectrometry (LDI MS). The GD matrix displayed two advantages: little background in the low mass range and good molecular ion signal in negative ion mode for many small molecules, e.g., fatty acids, amino acids, peptides, and drugs can be obtained in negative ion mode. By comparing the signal intensity of tetraphenylborate and juglone with and without GD existing, it was found that GD can enhance both of the desorption efficiency and ionization efficiency in LDI. Through analysis of the serum samples from liver cancer patients and healthy people, the GD-assisted LDI MS results showed that fatty acids could be used as potential biomarkers for the early diagnosis of liver cancer.

Identifiants

pubmed: 33378159
doi: 10.1021/acsami.0c18280
doi:

Substances chimiques

Amino Acids 0
Biomarkers, Tumor 0
Fatty Acids 0
Organic Chemicals 0
Pharmaceutical Preparations 0
graphdiyne 0
Graphite 7782-42-5

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1914-1920

Auteurs

Peiqi Luo (P)

Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China.
University of Chinese Academy of Sciences, Beijing 100049, China.

Liping Wang (L)

Centre of Reproductive Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen 518000, China.

Lixia Jiang (L)

Gannan Medical University, Ganzhou 341000, China.

Jie Sun (J)

Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China.
University of Chinese Academy of Sciences, Beijing 100049, China.

Yafeng Li (Y)

School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.

Huihui Liu (H)

Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China.

Caiqiao Xiong (C)

Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China.

Zongxiu Nie (Z)

Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China.
University of Chinese Academy of Sciences, Beijing 100049, China.
National Centre for Mass Spectrometry in Beijing, Beijing, 100190, China.

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Classifications MeSH