Non-invasive monitoring of red beet development.

Agriculture Artificial lightning Betalain Greenhouse Plant aging Plant chemistry Raman spectroscopy Red beets

Journal

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
ISSN: 1873-3557
Titre abrégé: Spectrochim Acta A Mol Biomol Spectrosc
Pays: England
ID NLM: 9602533

Informations de publication

Date de publication:
05 Apr 2019
Historique:
received: 30 10 2018
revised: 19 12 2018
accepted: 01 01 2019
pubmed: 12 1 2019
medline: 27 3 2019
entrez: 12 1 2019
Statut: ppublish

Résumé

Agricultural monitoring is required to enhance crop production, control plant stress, and predict pests and crop infection. Apart from monitoring the external influences, the state of the plant itself must be tracked. However, the modern methods for plant analysis are expensive and require plants processing often in a destructive way. Optical spectroscopy can be used for the non-invasive monitoring requiring no consumables, and little to none sample preparation. In this context, we found that the red beet growth can be monitored by Raman spectroscopy. Our analysis shows that, as plants age, the rate of betalain content increases. This increase makes betalain dominate the whole Raman spectra over other plant components. The dominance of betalain facilitates its use as a molecular marker for plant growth. This finding has implications in the understanding of plant physiology, particularly important for greenhouse growth and the optimization of external conditions such as artificial illumination.

Identifiants

pubmed: 30634132
pii: S1386-1425(19)30006-X
doi: 10.1016/j.saa.2019.01.006
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

155-159

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Auteurs

Bing Ma (B)

Tomsk Polytechnic University, Lenina ave. 30, 634034 Tomsk, Russia.

Raul D Rodriguez (RD)

Tomsk Polytechnic University, Lenina ave. 30, 634034 Tomsk, Russia. Electronic address: rodriguez@tpu.ru.

Elena Bogatova (E)

Tomsk Polytechnic University, Lenina ave. 30, 634034 Tomsk, Russia.

Alexey Ruban (A)

Tomsk Polytechnic University, Lenina ave. 30, 634034 Tomsk, Russia.

Sergey Turanov (S)

Tomsk Polytechnic University, Lenina ave. 30, 634034 Tomsk, Russia.

Damir Valiev (D)

Tomsk Polytechnic University, Lenina ave. 30, 634034 Tomsk, Russia.

Evgeniya Sheremet (E)

Tomsk Polytechnic University, Lenina ave. 30, 634034 Tomsk, Russia. Electronic address: esheremet@tpu.ru.

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Classifications MeSH