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49 results for “Chlorella”
Supp. Data for the article From raw microalgae to bioplastics: conversion of Chlorella vulgaris starch granules into thermoplastic starch
<p>Supplementaty Data (Videos) for the article From raw microalgae to bioplastics: conversion of Chlorella vulgaris starch granules into thermoplastic starch</p>
Estudio de parametros de irradiacion en la dinamica de crecimiento y produccion de biomasa microalgas Chlorella sp
<p> </p> <p>Las microalgas son microorganismos de gran importancia ambiental, por su potencial biorremediador, e industrial por su amplia gama de compuestos bioactivos. Una de las especies más prometedoras son las microalgas del género Chlorella, las cuales están presenten en el departamento de Nariño específicamente en lago Guamuez (Colombia) (MINISTERIO DEL MEDIO AMBIENTE, 2002) . donde presentan una gran variedad de aplicaciones como alimentación animal y humana, biomedicina, biocombustibles y biofertilizantes. En Colombia si bien existen sistemas de cultivo industrializados de microalgas Chlorella sp., aún se presentan desafíos debido a la gran variabilidad de estos sistemas biológicos con respecto a sus condiciones de cultivo, las cuales determinan la composición fisicoquímica de la biomasa, lo que a su vez define una determinada aplicación (Alam et al., 2020) . Para favorecer al crecimiento se debe tener claridad sobre dichas condiciones relevantes como los parámetros asociados a la disponibilidad de luz, los cuales tienen una influencia importante sobre su metabolismo fotosintético (Blair, Kokabian, &amp; Gude, 2014) . Los modelos matemáticos de base fenomenológica son una alternativa que permite predecir el crecimiento microalgal bajo dichas condiciones específicas, y ser la base para plantear estrategias de control, automatización y escalado de los sistemas industriales (Darvehei et al., 2018) .</p>
Chlorella vulgaris (UTEX 259) assembled transcripts
<p>Transcripts from <em>Chlorella vulgaris</em> (UTEX 259) assembled from Illumina RNA-Seq (150 bp paired-end reads) using Trinity.</p>
Nanopore sequencing genomic DNA from Stentor pyriformis and its endosymbiont, Chlorella variabilis
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Effect of dietary Chlorella vulgaris and carbohydrate-active enzymes on the general health, immune status, antioxidant capacity, and liver lipids and metabolites of weaned piglets
<p>It was evaluated the impact of dietary inclusion of <em>Chlorella vulgaris </em>(CH) and carbohydrases on the general health, immune and oxidative status, and hepatic lipids and metabolites of piglets. Forty-four male weaned piglets were allocated into four diets: control (<em>n</em>=11), CH (control diet with 5% CH, <em>n</em>=10), CH+R (control diet with 5% CH plus 0.005% Rovabio<sup>®</sup>Excel AP, <em>n</em>=10), and CH+M (control diet with 5% CH plus 0.01% of a pre-selected four-CAZyme mixture, <em>n</em>=11) for 15 days. Total cholesterol, LDL-cholesterol and VLDL-cholesterol were increased by CH. In piglets fed CH<em>-</em>based diets, the interplay observed between IgG increase and IgM decrease contributed for piglets’ survival during weaning. <em>n</em>-6 PUFA were lower in piglets fed CH with or without feed enzymes and the inverse occurred for <em>n</em>-3 PUFA, thus benefiting <em>n</em>-6/<em>n</em>-3 ratio in the liver. The discriminant analysis applied to hepatic variables revealed a good separation between control and CH-based diets but failed to discriminate feed enzymes addition. Minor variations were promoted by Rovabio or the pre-selected enzymatic mixture, thus suggesting some improvement on microalga nutrients digestibility. Taken together, our findings indicate a health promoting effect of CH as feed ingredient in piglets’ nutrition during the weaning period, without negatively impacting on animals’ performance.</p> <p> </p>
CIDACC: Chlorella vulgaris Image Dataset for Automated Cell Counting
<p><span><span>This </span><span>CIDACC dataset</span><span> was created to </span><span>determine</span><span> the cell </span><span>population </span><span>of</span><span> Chlorella vulgaris microalga during cultivation. Chlorella vulgaris has diverse applications, including use as food supplement, </span></span><span><span>biofuel production, and pollutant removal. </span><span>High resolution</span><span> images were collected using a microscope and </span><span>annotated</span><span>,</span><span> focusing on computer vision and </span><span>machine learning </span><span>models </span><span>creation</span><span> for automatic Chlorella cell detection</span><span>, counting</span><span>,</span><span> size </span><span>and geometry </span><span>estimation</span><span>.</span></span></p> <p><span><span><span><span>The dataset </span><span>is organized </span><span>hierarchically </span><span>into multiple folders and subfolders</span><span>, </span><span>containing</span><span> 628 images taken from a microscope and further processed by </span><span>external</span><span> tools.</span> <span>It consists of three</span><span> root folders</span><span>:</span> <span>“</span><span>original_images</span><span>”</span><span>,</span> <span>“</span><span>clusters</span><span>”</span><span>,</span> <span>and </span><span>“</span><span>distinct</span><span>”</span><span>.</span> <span>The </span><span>“</span><span>original_images</span><span>” folder holds</span><span> the </span><span>raw </span><span>microscope </span><span>images </span><span>with </span><span>initial</span><span> dimensions</span><span> of </span><span>2592x1944 pixels</span><span>.</span><span> These </span><span>images </span><span>are further subdivided into </span><span>“</span><span>clusters</span><span>”</span><span> and </span><span>“</span><span>distinct</span><span>”</span><span> folders</span><span>,</span> <span>indicating</span><span> whether </span><span>they </span><span>contain</span> <span>single </span><span>cells</span> <span>or cell clusters</span><span>. The “clusters” and “distinct” </span><span>root folders </span><span>contain</span> <span>annotated </span><span>images </span><span>with reduced dimensions </span><span>(640x640 pixels)</span><span>.</span><span> The </span><span>“</span><span>clusters</span><span>”</span><span> folder </span><span>includes images showing </span></span><span><span>C</span><span>. vulgaris</span></span><span><span> cells forming clusters</span><span>, where counting individual cells is</span><span> not </span><span>possible.</span><span> The </span><span>“</span><span>distinct</span><span>”</span><span> folder </span><span>contains</span><span> images of cells that can be counted with high precision.</span></span></span></span></p>
Fig. 6 ITS2 in Species delimitation polyphasic approach reveals Meyerella similis sp. nov.: a new species of "small green balls" within the Chlorella-clade (Trebouxiophyceae, Chlorophyta)
Fig. 6 ITS2 secondary structure of strains ACSSI 346, ACSSI 362, and ACSSI 363 and strains of Meyerella planktonica. CBC in ITS2 secondary structure of the studied strains compared to M. planktonica are denoted by black arrows
Fig. 5 ITS1 in Species delimitation polyphasic approach reveals Meyerella similis sp. nov.: a new species of "small green balls" within the Chlorella-clade (Trebouxiophyceae, Chlorophyta)
Fig. 5 ITS1 secondary structure of strains ACSSI 346, ACSSI 362, and ACSSI 363 and strains of Meyerella planktonica. CBC in ITS1 secondary structure of the studied strains compared to M. planktonica are denoted by black arrows
Fig.3 a A in Species delimitation polyphasic approach reveals Meyerella similis sp. nov.: a new species of "small green balls" within the Chlorella-clade (Trebouxiophyceae, Chlorophyta)
Fig.3 a A rooted ultrametric phylogenetic tree of Chlorella-clade green microalgae, constructed by the Bayes inference (BI), based on the 18S– ITS1–5.8S–ITS2 sequences (2650 bp). As statistical support for the nodes of the tree, a posterior probabilities (PP) and bootstrap values (BP), respectively, are indicated; the values of PP<0.7 and BP <70% are not shown. The model of nucleotide substitutions: GTR +I+ G4. Note: stud-
Fig. 2 in Species delimitation polyphasic approach reveals Meyerella similis sp. nov.: a new species of "small green balls" within the Chlorella-clade (Trebouxiophyceae, Chlorophyta)
Fig. 2 Cellular ultrastructure of strain ACSSI 346. a Young vegetative cell with trilaminar cell wall (long black arrows), large nucleus (N), parietal chloroplast (C), and small mitochondrion (transparent arrowhead). b Just divided two cells with developed cell walls and the surrounding mother wall (small black arrows); note the Golgi tanks
Fig. 1 in Species delimitation polyphasic approach reveals Meyerella similis sp. nov.: a new species of "small green balls" within the Chlorella-clade (Trebouxiophyceae, Chlorophyta)
Fig. 1 Morphology of strains ACSSI 346 a, ACSSI 362 b, and ACSSI 363 c cells. The inset shows a more detailed image of an adult cell. The autospores are shown with arrows. THUNDER image of strain ACSSI 346 d. The ciliates with Meyerella cells: Pseudoblepharisma sp. e, Holophrya sp. f. Drawings of light microscopical characters of studied strains (g). 1 – young cell; 2– adult cell; 3,4 – autosporangium. Scale bar a–f: 10 μm, g: 2 μm
Effects of Chlorella vulgaris on P release from ferric phosphate sediment by consecutive cultivation
Iron phosphate (Fe-P), the active compound is part of the main storage paths of phosphorus, especially in P-pollution environment. The re-release of Fe-P is a danger sign during microalgae remediation. In this work, pre-incubated Chlorella vulgaris is cultured in BG-11 culture medium with different amounts of quantifying Fe-P. The effects of Fe-P re-release on biomass, flocculation and removal of PO43- are investigated. The results indicated that Chlorella vulgaris can promote the dissolution and release of Fe-P when the pH is 7, the release amount of Fe-P (Q) in 200mL water reaches 0.055-0.45mg d-1 under the Chlorella vulgaris concentration of 5.6×105-8×105cell mL-1. Meanwhile, the growth of Chlorella vulgaris will be inhibited due to flocculation behavior of Fe3+ in the release stage, this goes hand in hand with the specific growth rate of 0.3-0.4d-1 and below 30% phosphorus removal rate. However, this process in the long run means a favorable transformation that Fe-P becomes a bioavailable phosphorus as a resource under the action of Chlorella vulgaris. Microalgae outbreaks may also be triggered by persistent interactions between Fe-P and Chlorella vulgaris. The study provides an important reference for the application of Chlorella vulgaris in a Fe-P rich environment.
Electroactive Composite Biofilms Integrating Kombucha, Chlorella and Synthetic Proteinoid Proto–Brains
<p>Data acquired from performance of electrical characterisation and evaluation of proteinoid-microbial composite samples including dynamic current-voltage (I-V) profiling, impedance, capacitance, and resistance measurements. </p>
Effects of Chlorella vulgaris on P release from ferric phosphate sediment by consecutive cultivation
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Preconcentration with Chlorella vulgaris combined with energy dispersive X-ray fluorescence spectrometry for rapid determination of Cd in water
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Data from: Treatment of aquaculture effluent with Chlorella vulgaris and Tetradesmus obliquus: the effect of pretreatment on microalgae growth and nutrient removal efficiency
The ongoing and increasing worldwide demand for fish has caused a steady increase in aquaculture production during the last decades. This emphasizes the importance of farming systems with a low ecological footprint, like recirculating aquaculture systems (RAS), which are an alternative to traditional open systems. Furthermore, implementing microalgae treatments in RAS, sustainable water management and low discharge of concentrated wastewater could be achieved, allowing its reuse in the system. The influence of three factors on microalgae treatment efficiency in RAS water were studied: i) microalgae species (Chlorella vulgaris, Tetradesmus obliquus), ii) water pre-treatment (sterile filtration), and iii) sampling location within the RAS (e.g. from fish tank, after UV-disinfection, etc.). To this end, fully factorial, replicated cultivations were carried out in 100-ml flasks, and nutrient removal, microalgae growth, and density of bacteria and protozoa were measured for up to 18 days. Results show that both species are able to grow in RAS water and effectively remove nutrients in it, yet their performance depended greatly on water quality. In sterile RAS water, growth and nutrient removal efficiency of C. vulgaris surpassed that of T. obliquus. In non-sterile RAS water, the pattern reversed because of grazing proto- zoa. The location of sampling within the RAS had no discernible effect on microalgae growth or nutrient removal efficiency. The results confirm that a microalgae-based technology to treat and valorise RAS water is technically feasible, yet caution that inferences made can be reversed depending on the choice of the species and the pre- treatment of the RAS water prior to cultivation.
Fig. 4 The 18S rRNA V4 a and V9 regions b in Species delimitation polyphasic approach reveals Meyerella similis sp. nov.: a new species of "small green balls" within the Chlorella-clade (Trebouxiophyceae, Chlorophyta)
Fig. 4 The 18S rRNA V4 a and V9 regions b of Meyerella members. Black boxes – molecular signatures
Selecting the Most Sustainable Phosphorus Adsorbent for Lake Restoration: Effects on the Photosynthetic Activity of Chlorella sp. DATASET
<p>This is the dataset for the article: Álvarez-Manzaneda, I.; Castaño-Hidalgo, Á.; de Vicente, I. Selecting the Most Sustainable Phosphorus Adsorbent for Lake Restoration: Effects on the Photosynthetic Activity of Chlorella sp.<br>Sustainability 2024, 16, 8305. https://doi.org/10.3390/su16198305</p>
UTILIZATION OF CHLORELLA VULGARIS IN FISH FEEDING IN FISHERY INDUSTRY
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Data from: Treatment of aquaculture effluent with Chlorella vulgaris and Tetradesmus obliquus: the effect of pretreatment on microalgae growth and nutrient removal efficiency
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