Data of Microalgae Drying Using an Industrial Solar Dryer

DOI

This dataset includes 8 files that compile the results of the study on solar drying of the microalgae Nannochloropsis oceanica and Tetraselmis chui, in the scope of ProFuture H2020 project. Competitive drying solutions are required to meet future demands for high‐quality algal biomass while ensuring proper preservation at reduced costs. Since often used drying methods, such as freeze or spray drying, are energy and time consuming, more sustainable processes remain to be developed. Three drying trials were done for each species (T1, T2 and T3 for T. chui; N1, N2, N3 for N. oceanica). A control was done with freeze drying (TFD and NFD, for T. chui and N. oceanica, respectively). This study tested an indirect and hybrid solar dryer as an alternative to conventional freeze drying of industrially produced Tetraselmis chui and Nannochloropsis oceanica wet paste. The dataset includes: drying characteristics; biomass weight during drying trials; proximate composition; pigment contents; fatty acid contents; mineral contents; microbiology; and functional properties. Industrial solar drying was found to be a sustainable technology with a high potential to preserve high‐quality microalgal biomass for various markets at expected lower costs.

Identifier
DOI https://doi.org/10.34810/data1520
Related Identifier IsCitedBy https://doi.org/10.3390/foods11131873
Metadata Access https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/data1520
Provenance
Creator Schmid, Benjamin ORCID logo; Cavaco Rodrigues, Alexandre Miguel ORCID logo; Van De Walle, Simon ORCID logo; Baune, Marie-Christin ORCID logo
Publisher CORA.Repositori de Dades de Recerca
Contributor Cavaco Rodrigues, Alexandre Miguel
Publication Year 2024
Funding Reference European Union's Horizon 2020 project 862980
Rights CC BY 4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Contact Cavaco Rodrigues, Alexandre Miguel (Necton S.A.)
Representation
Resource Type Experimental data; Dataset
Format text/tab-separated-values; text/plain
Size 1247; 78089; 2664; 2489; 609; 2055; 1873; 804; 45656
Version 1.0
Discipline Agricultural Sciences; Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Construction Engineering and Architecture; Engineering; Engineering Sciences; Life Sciences
Spatial Coverage Olhão, Portugal