Datasets associated with articles published in Algal Research
Contributors:Maida Barbara Rodrigues
The present work starts from a previous experiment where a culture medium for Dunaliella tertiolecta is developed, aiming its use as biofuel feedstock. The effect of the addition of fertilizer NPK-10: 26: 26, NaCl, NaOH, and the intensity of light incident on algal biomass growth, lipid productivity and CO2 sequestration were analyzed. The experimental data set, is first graphed using the graphical outputs of Engineering Equation Solver (EES), then is adjusted into an Adaptive Neuro Diffuse Inference System (ANFIS), obtaining a simulation of the cultivation process which is an easy to use and very accurate tool for instant evaluation of the process under study. The obtained ANFIS facilitates the analysis of the simultaneous influence of independent variables on the output variables. It is thus shown that the most recent computational facilities are of fundamental interest for the analysis of fermentative processes and in particular to model the cultivation of microalgae to be used as fuel feedstock. The results of the ANFIS model are compared with the experimental data and the effective evaluation of the performed simulation is proved.
Contributors:Ernani Pinto, Rios Jacinavicius, Paul F. Long, Lívia Soman, Vanessa Geraldes
UV-Induction experiments data
Contributors:Lihua Zeng, jingyan liu, Zhenhui Ren, Xuan Liu, Tie-Min Du
Algae Fluorescence and Algae Cell Concentration
Contributors:Birgitta Norling, Peter Nixon, Tiago Selao, Lifang Zhang
Total concentration in the reactor originated from both the concentration value measured before start-up of the reactors (will be referred as initial concentration) and the dissolution of nutrients at the early stages of the experiment (dissolution is discussed in detail under Results section). Thus, dissolution was calculated from the difference in total concentration and initial concentration. The related calculations are given in supplementary file (S1).
Contributors:Wang J., Kang Y., Wang Y., Pan X., Wang G., Chen M., Ding G., Zhang Y.
Figure 1. Schematic of an automatic microalgae treatment and detection system.
Figure 2. (a) Basic configuration of a Christmas-tree types microfluidic concentration gradient generator. (b) The equivalent electric circuit model corresponding to the fluid conduits in concentration gradient generator. (c) The flow equivalent diagram of the concentration gradient generator. (d) The simulated concentration profile in the concentration gradient generator, where the color scale denotes the relative concentration varying from 0% to 100%.
Figure 3. The simulated concentration distribution and the relative fluorescence intensity measured at 6 different outlets of the concentration gradient generator using sodium fluorescein s a tracer. The inset fluorescence images are corresponding to six outlets. Experimental data are shown as Mean ± SD (n = 6).
Figure 4. Normalized Platymonas cell activity under 20 min of NaClO treatment with gradient concentrations. Experimental data are shown as Mean ± SD (n = 6).
Figure 5. The relative activity of (a) Platymonas, (b) Pyramimonas sp, (c) Chlorella, and (d) a mixture of all these species after treatment with NaClO under gradient concentrations for 20 min.
Contributors:Francis Fields, Stephen Mayfield, Miller Tran, Joseph T. Ostrand
Supplemental data for "Nuclear genome shuffling significantly increases production of chloroplast-based recombinant protein in Chlamydomonas reinhardtii" by Fields et al.
Datasets: counts of tetraspores and seedlings and measures of length growth using cultures of Palmaria palmata.
Assessing the sporulation yield, settlement and attachment of tetraspores and seedlings of Palmaria palmata in exposure of different hatchery configurations (water agitation, inoculation type, cultivation substrates, salinity.
Contributors:wenjing wang, Yanqing Sheng
Contributors:Joel Kidgell, Rocky de Nys, Christopher Glasson, Marie Magnusson
A meta-analysis of publications related to ulvan (a sulfated polysaccharide from green algae). Publications included were collected from Web of Science Core Collection and Scopus on 13/12/2017 using the search string:
“(Ulvan* OR ((sulfate* OR sulphate*) AND polysaccharide* AND (Ulva OR Enteromorpha)))”
Inclusion of a paper and data in a meta-table was subject to meeting the criteria stipulated by the search string. The paper must use algae from Ulva or Enteromorpha, and involve the extraction of sulfated polysaccharides. The paper must also contribute original quantitative data to the extraction procedure, characterisation and/or application of the sulfated polysaccharide.
Each of the 154 publications included in the meta-analysis were read and data collected on: (1) the year, first author, first 40 characters of the title, journal of publication; (2) genera and species used along with country and a description of the biomass source; (3) The extractant applied, and concentration (if applicable), any enzymes applied, along with the temperature and duration of the extraction, and the precipitate if one was used; (4) the yield of polysaccharide (% DW), total carbohydrate, protein, ash, sulfate, uronic acid and neutral sugar content (in % w/w); (5) the average molecular weight; (6) the monosaccharide composition of rhamnose, uronic acids, glucuronic acid, xylose, iduronic acid, glucose and galactose (in % Mol, % DW, or Molar ratio); and (7) the tests applied to assess the biomedical application of the extracted polysaccharide.
Data were recorded in the form and units that it was presented in unless the conversion was simply adjusting the magnitude of the value so that the data were comparable to other values in the table. If a conversion was performed, the cell is outlined in a dotted line and reading the formula will provide detail on the exact conversion applied. Some data were also estimated from figures, these values are also outlined in a dotted line. Where data were provided not in the units used in the table, these points were entered as text values with the corresponding units so as to avoid being included in the meta-analysis.