PHB in cyanobacteria: analyzing production through images processing and FT-IR techniques
2025
Villar Sola, Paula | Fernández Montenegro, Juan Manuel | Iglesias Moreira, Sandra | Rodríguez Lorenzo, Franciso | Vandervorst, Philippe | Pancorbo González, Erika | Placer Lorenzo, Miguel | Pérez Couñago, Inés | Muíños Landín, Santiago | Herrero Castilla, Luz | Illade Quinteiro, Julio | Álvarez Rodríguez, Juan Antonio | Altamira Algarra, Beatriz | González Flo, Eva | García Serrano, Joan | Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental | Universitat Politècnica de Catalunya. GEMMA - Grup d'Enginyeria i Microbiologia del Medi Ambient
Cyanobacteria have gained significant attention in recent years due to their ability to produce a variety of valuable compounds. One such compound is polyhydroxybutyrate (PHB), a biodegradable polymer with immense potential in various industrial applications. Given that PHB is stored intracellularly, a dedicated process is needed to extract and measure the biopolymer content. Nevertheless, this process is time consuming and requires environmental hazardous chemicals, such as chloroform. In the present work, we present two complementary methods developed to analyze and quantify PHB production in cyanobacteria microbiomes. The first one consists in an image processing applied on images obtained from Transmission Electronic Microscope (TEM), that can potentially be applied to others type of microscope images as confocal, for qualitative assessment. In this case, a segmentation process allows differentiating PHB grains inside cyanobacteria cells. A metric is then established by computing pixels area taken up by PHB in the whole image and in cyanobacteria cells. A good correlation (higher than 0.65) is observed for all indicators as regard to PHB content. The second method relies on Fourier-transform infrared (FTIR) spectroscopy, as a non-destructive and rapid method to analyze PHB. Absorption peaks due to carbonyl, and Amide I and II group characteristics of monomer structure in PHB and cyanobacteria´s protein are observed. A correlation coefficient r2 of 0.96 is reached with the linear regression. A comparison between the two techniques is presented and their main advantages for PHB production optimization are explained.
显示更多 [+] 显示较少 [-]This research was supported by the European Union’s Horizon 2020 research and innovation program under the grant agreement No 101000733 (project PROMICON). B. Altamira-Algarra thanks the Agency for Management of University and Research (AGAUR) for her grant [FIAGAUR_2021]. E. Gonzalez-Flo would like to thank the European Union-NextGenerationEU. Ministry of Universities and Recovery. Transformation and Resilience Plan for her research grant [2021UPFMS-12]. J. Garcia acknowledges the support provided by the ICREA Academia program. J.
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显示更多 [+] 显示较少 [-]Postprint (published version)
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