Highly sensitive analysis of photoregulation and dynamic distribution of phytohormones based on nanoconfined liquid phase nanoextraction.


Journal

Analytica chimica acta
ISSN: 1873-4324
Titre abrégé: Anal Chim Acta
Pays: Netherlands
ID NLM: 0370534

Informations de publication

Date de publication:
01 Dec 2023
Historique:
received: 31 07 2023
revised: 20 09 2023
accepted: 10 10 2023
medline: 20 11 2023
pubmed: 18 11 2023
entrez: 17 11 2023
Statut: ppublish

Résumé

As a vital energy source, light is one of the most significant environmental signals for plants' growth and development. The crosstalk amongst phytohormones regulated by light exhibits quantitative dynamic changes, but methodologies to analyze their distribution during plant growth are still limited. Rapid, highly sensitive, low-invasive detection and simultaneous assessment of the levels of multiple classes of phytohormones have important phytology applications, however the existing sample pretreatment strategies remain intricate, laborious, and far from being developed for in vivo high-sensitivity testing. (81) RESULTS: We applied a nanoconfined liquid phase nanoextraction (NLPNE) technique based on acidified carbon nanofibers (ACNFs) in combination with LC-ESI-MS/MS for highly sensitive analysis of acidic phytohormones' photoregulation and dynamic distribution. In this system, the mass transfer ability of analytes entering the nanoconfined space is significantly improved given the nanoconfined effect. In particular, the accelerated and strong adsorption of alkaline compounds to the ACNFs surface provide minimum interference for acidic compounds (photosensitive phytohormones), which facilitates their simple, fast, and selective quantification with improved sensitivity. The ACNFs-NLPNE strategy achieved quantitative enrichment of multi-class phytohormones in less than 5 min, and detection limits down to 0.49 fg mL

Sections du résumé

BACKGROUND BACKGROUND
As a vital energy source, light is one of the most significant environmental signals for plants' growth and development. The crosstalk amongst phytohormones regulated by light exhibits quantitative dynamic changes, but methodologies to analyze their distribution during plant growth are still limited. Rapid, highly sensitive, low-invasive detection and simultaneous assessment of the levels of multiple classes of phytohormones have important phytology applications, however the existing sample pretreatment strategies remain intricate, laborious, and far from being developed for in vivo high-sensitivity testing. (81) RESULTS: We applied a nanoconfined liquid phase nanoextraction (NLPNE) technique based on acidified carbon nanofibers (ACNFs) in combination with LC-ESI-MS/MS for highly sensitive analysis of acidic phytohormones' photoregulation and dynamic distribution. In this system, the mass transfer ability of analytes entering the nanoconfined space is significantly improved given the nanoconfined effect. In particular, the accelerated and strong adsorption of alkaline compounds to the ACNFs surface provide minimum interference for acidic compounds (photosensitive phytohormones), which facilitates their simple, fast, and selective quantification with improved sensitivity. The ACNFs-NLPNE strategy achieved quantitative enrichment of multi-class phytohormones in less than 5 min, and detection limits down to 0.49 fg mL

Identifiants

pubmed: 37977798
pii: S0003-2670(23)01128-5
doi: 10.1016/j.aca.2023.341907
pii:
doi:

Substances chimiques

Plant Growth Regulators 0
Acids 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

341907

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Liyuan Wang (L)

Department of Chemistry, Yanbian University, Park Road 977, Yanji, 133002, Jilin Province, PR China.

Haijing Zhang (H)

Interdisciplinary Program of Biological Functional Molecules, College of Integration Science, Yanbian University, Park Road 977, Yanji City, Jilin Province, 133002, PR China.

Zakia Fatima (Z)

Department of Chemistry, Yanbian University, Park Road 977, Yanji, 133002, Jilin Province, PR China.

Jiahui Ge (J)

Department of Chemistry, Yanbian University, Park Road 977, Yanji, 133002, Jilin Province, PR China.

Xinyang Zhang (X)

Department of Chemistry, Yanbian University, Park Road 977, Yanji, 133002, Jilin Province, PR China.

Yilin Zou (Y)

Department of Chemistry, Yanbian University, Park Road 977, Yanji, 133002, Jilin Province, PR China.

Chunyu Yu (C)

Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Pharmaceutical Analysis, College of Pharmacy, Yanbian University, Park Road 977, Yanji City, Jilin Province, 133002, PR China.

Donghao Li (D)

Department of Chemistry, Yanbian University, Park Road 977, Yanji, 133002, Jilin Province, PR China. Electronic address: dhli@ybu.edu.cn.

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Classifications MeSH