Rosa Garcia-Arrona

Dr. Rosa Garcia-Arrona

orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 July 2018 in Talanta
Verified
Journal Article
Closed access
Maider VidalMaider Vidal
Maider Vidal
RGRosa Garcia-Arrona
Rosa Garcia-Arrona
ABAne Bordagaray
Ane Bordagaray
MOMiren Ostra
Miren Ostra
GAGorka Albizu
Gorka Albizu

1 April 2016 in Food Control
Verified
Journal Article
Closed access
JPJessica Pérez-Outeiral
Jessica Pérez-Outeiral
EMEsmeralda Millán
Esmeralda Millán
RGRosa Garcia-Arrona
Rosa Garcia-Arrona


28 July 2019 in Journal of Chemometrics
Verified
Journal Article
Closed access
PDF file
ABAne Bordagaray
Ane Bordagaray
SDSergio Dávila
Sergio Dávila
RGRosa Garcia-Arrona
Rosa Garcia-Arrona
MVMaider Vidal
Maider Vidal
MOMiren Ostra
Miren Ostra

9 April 2026 in Food Control
Verified
Journal Article
Open access
GAGorka Albizu
Gorka Albizu
IBIrati Berasarte
Irati Berasarte
HBHaizea Belaunzaran
Haizea Belaunzaran
RGRosa Garcia-Arrona
Rosa Garcia-Arrona
ABAne Bordagaray
Ane Bordagaray
MOMiren Ostra
Miren Ostra

29 September 2026 in Applied Sciences
Verified
Journal Article
Open access
PDF file
Ainhoa LambarriAinhoa Lambarri
Ainhoa Lambarri
MOMiren Ostra
Miren Ostra
ABAne Bordagaray
Ane Bordagaray
RGRosa Garcia-Arrona
Rosa Garcia-Arrona
Maider VidalMaider Vidal
Maider Vidal
Food analysis is essential for ensuring food quality and safety, with protein content being one of the most relevant compositional parameters from both nutritional and technological perspectives. Although the Kjeldahl method is the reference technique for protein quantitation, reversed-phase high-performance liquid chromatography (RP-HPLC) provides high specificity for individual proteins and was used in this study as an independent comparative method. Unlike nitrogen-based methods, RP-HPLC enables direct quantitation of defined protein standards. This work proposes the determination of protein concentration using the Bradford assay combined with digital image analysis (DIA), replacing conventional spectrophotometric detection. A glass slide was evaluated as a sample support, requiring only 14 µL of sample, substantially less than conventional microplates. Images were acquired with a smartphone, and the complete analytical workflow, from image acquisition to protein concentration calculation, was semi-automated using MATLAB software. The method was evaluated using bovine serum albumin (BSA) and casein standards and applied to food samples. Protein concentrations obtained by the Bradford-DIA method showed good agreement with RP-HPLC, with errors ranging from 1.7% to 17% for standards and from 1.1% to 23% compared with labelled protein values. The proposed approach provides a rapid, low-cost, and miniaturised alternative for protein determination.