Personal information

Other IDs

Scopus Author ID: 57659143500

Activities

Collapse all

Employment (1)

Lund University: Lund, SE

2020-05-02 to present | PhD Student (Chemical Engineering)
Employment
Source: Self-asserted source
Daniel Espinoza

Education and qualifications (1)

Lund University: Lund, SE

2014 to 2020 | MSc in Chemical Engineering
Education
Source: Self-asserted source
Daniel Espinoza

Works (6)

Regeneration of dimethyl carbonate and purification of 5-hydroxymethylfurfural used in a biphasic dehydration process through activated carbon adsorption and evaporation

Journal of Environmental Chemical Engineering
2025-04 | Journal article
DOI: 10.1016/j.jece.2025.115724
Contributors: Mikael Sjölin; Mahmoud Sayed; Daniel Espinoza; Simon Tallvod; Basel Al-Rudainy
Source: check_circle
Crossref

Real-time monitoring of gradient chromatography using dual Kalman-filters

Journal of Chromatography A
2024-08 | Journal article
DOI: 10.1016/j.chroma.2024.465161
Contributors: Gusten Zandler-Andersson; Daniel Espinoza; Niklas Andersson; Bernt Nilsson
Source: check_circle
Crossref

Automatic procedure for modelling, calibration, and optimization of a three-component chromatographic separation

Journal of Chromatography A
2024-04 | Journal article
DOI: 10.1016/j.chroma.2024.464805
Contributors: Daniel Espinoza; Simon Tallvod; Niklas Andersson; Bernt Nilsson
Source: check_circle
Crossref

Automated quality analysis in continuous downstream processes for small-scale applications

Journal of Chromatography A
2023-08 | Journal article
DOI: 10.1016/j.chroma.2023.464085
Contributors: Simon Tallvod; Daniel Espinoza; Joaquín Gomis-Fons; Niklas Andersson; Bernt Nilsson
Source: check_circle
Crossref

Binary separation control in preparative gradient chromatography using iterative learning control

Journal of Chromatography A
2022 | Journal article
DOI: 10.1016/j.chroma.2022.463078
EID:

2-s2.0-85129237374

Part of ISSN: 18733778 00219673
Contributors: Espinoza, D.; Andersson, N.; Nilsson, B.
Source: Self-asserted source
Daniel Espinoza via Scopus - Elsevier

In-silico Formulation of Iterative Learning Control for Chromatographic Purification of Biopharmaceuticals

Computer Aided Chemical Engineering
2022 | Book chapter
DOI: 10.1016/B978-0-323-95879-0.50198-3
EID:

2-s2.0-85135522541

Part of ISSN: 15707946
Contributors: Espinoza, D.; Andersson, N.; Nilsson, B.
Source: Self-asserted source
Daniel Espinoza via Scopus - Elsevier
How many people are using ORCID?