Assessment of growth phases of the diatom Ditylum brightwellii by FT-IR and Raman spectroscopy

被引:27
作者
Rueger, Jan [1 ,2 ,3 ]
Unger, Nancy [1 ,2 ,3 ]
Schie, Iwanw. [1 ]
Brunner, Eike [4 ]
Poppa, Juergen [1 ,2 ,3 ]
Krafft, Christoph [1 ,2 ,3 ]
机构
[1] Leibniz Inst Photon Technol, Albert Einstein Str 9, D-07745 Jena, Germany
[2] Friedrich Schiller Univ Jena, Inst Phys Chem, Helmholtzweg 4, D-07743 Jena, Germany
[3] Friedrich Schiller Univ Jena, Abbe Ctr Photon, Helmholtzweg 4, D-07743 Jena, Germany
[4] Tech Univ Dresden, Bergstr 66, D-01069 Dresden, Germany
来源
ALGAL RESEARCH-BIOMASS BIOFUELS AND BIOPRODUCTS | 2016年 / 19卷
关键词
Raman microscopy; FTIR microscopy; Cell physiology; Biomolecules; Chemometrics; TRANSFORM INFRARED-SPECTROSCOPY; MICROALGAE; CELLS; TOOL; MICROSPECTROSCOPY; IDENTIFICATION; ALGAE; PLS;
D O I
10.1016/j.algal.2016.09.007
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Most applications of monitoring microalgae necessitate fast deployable and sensitive methods to assess cellular physiology, preferably at the scale of single cells. Vibrational spectroscopies, namely Fourier transform infrared (FT-IR) and Raman spectroscopy, have been proven to be valuable tools since they are label-free, nondestructive, and fast applicable. Infrared spectra contain spectral contributions of macromolecules, such as proteins, nucleic acids, carbohydrates, biosilica and lipids. A major concern of this method is the requirement to dry the sample, which might severely affect cellular physiology. Raman spectroscopy, on the other hand, can be applied in aqueous environments, and provides complementary information to FT-IR spectroscopy, because Raman spectra of microalgae are dominated by the photosynthetic pigments, e.g. chlorophyll a and carotenoids. In our current study we applied both spectroscopy methods to study chemical variations within individual cells of the diatom Ditylum brightwellii during the course of growth phases. Culture growth was monitored via cell counting and related spectral changes were examined employing partial least square (PLS) regression and linear discriminant analysis (LDA) classification. FT-IR models revealed a pronounced decrease of protein and carbohydrate content, a concurrent increase in cellular lipid level and constant biosilica content during culture growth. Interestingly, the highest nucleic acid content appeared in the stationary phase. Raman based models could easily identify cells in the exponential phase indicating highest chlorophyll a amount in that particular stage. Further cell proliferation was accompanied with distinct variances in the carotenoid pool. Comparison of model performances showed that Raman based models were more stable and more accurate than respective FT-IR based models. This leads us to conclude that Raman spectroscopy is a promising method for examining microalgal cell physiology. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:246 / 252
页数:7
相关论文
共 41 条
  • [1] Probing the carotenoid content of intact Cyclotella cells by resonance Raman spectroscopy
    Alexandre, Maxime T. A.
    Gundermann, Kathi
    Pascal, Andrew A.
    van Grondelle, Rienk
    Buechel, Claudia
    Robert, Bruno
    [J]. PHOTOSYNTHESIS RESEARCH, 2014, 119 (03) : 273 - 281
  • [2] [Anonymous], 2012, J NANOMED NANOTECHNO, DOI DOI 10.4172/2157-7439.1000131
  • [3] Partial least squares for discrimination
    Barker, M
    Rayens, W
    [J]. JOURNAL OF CHEMOMETRICS, 2003, 17 (03) : 166 - 173
  • [4] Infrared spectroscopy of proteins
    Barth, Andreas
    [J]. BIOCHIMICA ET BIOPHYSICA ACTA-BIOENERGETICS, 2007, 1767 (09): : 1073 - 1101
  • [5] Resonant Mie Scattering (RMieS) correction of infrared spectra from highly scattering biological samples
    Bassan, Paul
    Kohler, Achim
    Martens, Harald
    Lee, Joe
    Byrne, Hugh J.
    Dumas, Paul
    Gazi, Ehsan
    Brown, Michael
    Clarke, Noel
    Gardner, Peter
    [J]. ANALYST, 2010, 135 (02) : 268 - 277
  • [6] Beleites C., 2011, HYPERSPEC PACKAGE HA
  • [7] Combining SO-PLS and linear discriminant analysis for multi-block classification
    Biancolillo, Alessandra
    Mage, Ingrid
    Naes, Tormod
    [J]. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2015, 141 : 58 - 67
  • [8] High-value products from microalgae-their development and commercialisation
    Borowitzka, Michael A.
    [J]. JOURNAL OF APPLIED PHYCOLOGY, 2013, 25 (03) : 743 - 756
  • [9] Micro-algal biosensors
    Brayner, Roberta
    Coute, Alain
    Livage, Jacques
    Perrette, Catherine
    Sicard, Clemence
    [J]. ANALYTICAL AND BIOANALYTICAL CHEMISTRY, 2011, 401 (02) : 581 - 597
  • [10] The integration of green chemistry into future biorefineries
    Clark, James H.
    Deswarte, Fabien E. I.
    Farmer, Thomas J.
    [J]. BIOFUELS BIOPRODUCTS & BIOREFINING-BIOFPR, 2009, 3 (01): : 72 - 90