Non-invasive monitoring of red beet development

被引:3
作者
Ma, Bing [1 ]
Rodriguez, Raul D. [1 ]
Bogatova, Elena [1 ]
Ruban, Alexey [1 ]
Turanov, Sergey [1 ]
Valiev, Damir [1 ]
Sheremet, Evgeniya [1 ]
机构
[1] Tomsk Polytech Univ, Lenina Ave 30, Tomsk 634034, Russia
关键词
Red beets; Betalain; Raman spectroscopy; Plant chemistry; Plant aging; Agriculture; Artificial lightning; Greenhouse; PORTABLE RAMAN SPECTROMETER; FT-RAMAN; CELLULOSE; SPECTROSCOPY; GROWTH; IR; PIGMENTS; STRESS; SUGAR;
D O I
10.1016/j.saa.2019.01.006
中图分类号
O433 [光谱学];
学科分类号
0703 ; 070302 ;
摘要
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. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码:155 / 159
页数:5
相关论文
共 50 条
  • [21] Non-invasive Optical Technical Identification of Red Pigments on Chinese Paper Notes
    Ren, Jie
    Gao, Cunjin
    Wang, Jigang
    Shen, Yang
    Shi, Jilong
    Liu, Quanxiao
    Chen, Wei
    COATINGS, 2021, 11 (04)
  • [22] Non-invasive Analyses of Ancient Ceramics Colorants
    Lukacevic, Igor
    Rajkovic, Dragana
    CROATICA CHEMICA ACTA, 2015, 88 (01) : 53 - 58
  • [23] Evaluation of some non-invasive approaches for the detection of red palm weevil infestation
    Rasool, Khawaja Ghulam
    Husain, Mureed
    Salman, Shehzad
    Tufail, Muhammad
    Sukirno, Sukirno
    Mehmood, Khalid
    Farooq, Wazirzada Aslam
    Aldawood, Abdulrahman S.
    SAUDI JOURNAL OF BIOLOGICAL SCIENCES, 2020, 27 (01) : 401 - 406
  • [24] Non-Invasive Monitoring of Streptococcus pyogenes Vaccine Efficacy Using Biophotonic Imaging
    Alam, Faraz M.
    Bateman, Colin
    Turner, Claire E.
    Wiles, Siouxsie
    Sriskandan, Shiranee
    PLOS ONE, 2013, 8 (11):
  • [25] Non-invasive monitoring of brain tissue temperature by near-infrared spectroscopy
    Hollis, VS
    Binzoni, T
    Delpy, DT
    OPTICAL TOMOGRAPHY AND SPECTROSCOPY OF TISSUE IV, 2001, 4250 : 470 - 481
  • [26] Labscale fluidized bed granulator instrumented with non-invasive process monitoring devices
    Leskinen, Jari T. T.
    Okkonen, Matti-Antero H.
    Toiviainen, Maunu M.
    Poutiainen, Sarni
    Tenhunen, Mari
    Teppola, Pekka
    Lappalainen, Reijo
    Ketolainen, Jarkko
    Jarvinen, Kristiina
    CHEMICAL ENGINEERING JOURNAL, 2010, 164 (2-3) : 268 - 274
  • [27] In vivo testing of a non-invasive prototype device for the continuous monitoring of intracerebral hemorrhage
    Kandadai, Madhuvanthi A.
    Korfhagen, Joseph J.
    Beiler, Shauna
    Beiler, Chris
    Wagner, Kenneth
    Adeoye, Opeolu M.
    Shaw, George J.
    JOURNAL OF NEUROSCIENCE METHODS, 2014, 235 : 117 - 122
  • [28] Non-invasive in-vivo glucose-based stress monitoring in plants
    Perdomo, Sammy A.
    De la Paz, Ernesto
    Del Cano, Rafael
    Seker, Sumeyye
    Saha, Tamoghna
    Wang, Joseph
    Jaramillo-Botero, Andres
    BIOSENSORS & BIOELECTRONICS, 2023, 231
  • [29] Non-invasive Monitoring of Glucocorticoid Metabolites in Brown Hyaena (Hyaena brunnea) Feces
    Hulsman, A.
    Dalerum, F.
    Ganswindt, A.
    Muenscher, S.
    Bertschinger, H. J.
    Paris, M.
    ZOO BIOLOGY, 2011, 30 (04) : 451 - 458
  • [30] Cloud Computing-Based Non-Invasive Glucose Monitoring for Diabetic Care
    Pai, Praful P.
    Sanki, Pradyut K.
    Sahoo, Sudeep K.
    De, Arijit
    Bhattacharya, Sourangshu
    Banerjee, Swapna
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2018, 65 (02) : 663 - 676