Maria Luisa Cervera
Biographic Data
| ID | 6136900 |
|---|---|
| NAME | Maria Luisa Cervera |
| GIVEN NAMES | Maria Luisa |
| FAMILY NAME | Cervera |
| SIGNATURE | CERVERA M L |
| AFFILIATIONS | Universitat de València |
| ORCID | 0000-0002-7190-6067 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Developing a non-invasive approach for prehistoric rock art characterization based on smartphone imaging colorimetry and spectroscopy
An artificial intelligence-based semiquantitative method based on visible spectroscopy and imaging to analyse inorganic red pigments in wall paintings
Red inorganic pigments (cinnabar, minium, and hematite) were selected. • A semiquantitative method using visible spectroscopy and digital imaging is shown. • SVM and ANN models estimate metal content in inorganic pigments. • RMSE for Fe, Pb, and Hg was ≤ 3.5 % with R2 up to 0.99. • Fast, affordable and non-invasive approach applicable to in-situ cultural heritage. Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing data ana…
Rare Earth Elements to Control Bone Diagenesis Processes at Rozafa Castle (Albania)
Archaeological bone chemical composition is modified post-mortem by diagenesis processes, and over decades, several authors have proposed different protocols to avoid post-depositional contamination that can carry to misleading interpretations about the lifestyle and origin of ancient populations. In this work, a methodological approach based on rare earth elements analysis was developed to determine diagenetic alterations on femurs, humeri, and …
Smartphone photos as a non-destructive approach to characterise siliceous artefacts
A methodological proposal was developed for the study of prehistoric siliceous artefacts which includes the use of smartphone photography as an analytical tool. Different kinds of materials (cherts, rock crystal and quartzite) were sampled from the lithic assemblage of La Calvera rock-shelter (Camaleño, Spain), chosen as a case study. Each sample was photographed with a smartphone and colour features were compared with portable and non-destructiv…
Smartphone application for ancient mortars identification developed by a multi-analytical approach
The present work shows the results of the chemical, mineralogical and colorimetric characterisation of the ancient mortars from Silla Islamic Tower (Valencia, Spain) and Fuengirola Castle (Malaga, Spain). The samples were characterised from the mineralogical point of view by X-ray diffractometry and mid-infrared attenuated total reflection spectroscopy, while portable energy dispersive X-ray fluorescence spectroscopy and inductively coupled plasm…
A smartphone-based innovative approach to discriminate red pigments in roman frescoes mock-ups
The characterization of red pigments in frescoes wall paintings has been of great interest for researchers to better understand raw material procurement dynamics, pigment receipts, stylistic evolution and to assess their conservation state. In this study a non-destructive colorimetric approach implementing a smartphone-based method was developed in order to be able to distinguish between three pigments made from minium, haematite and cinnabar min…
A smartphone-based innovative approach to discriminate red pigments in roman frescoes mock-ups
The characterization of red pigments in frescoes wall paintings has been of great interest for researchers to better understand raw material procurement dynamics, pigment receipts, stylistic evolution and to assess their conservation state. In this study a non-destructive colorimetric approach implementing a smartphone-based method was developed in order to be able to distinguish between three pigments made from minium, haematite and cinnabar min…
Smartphone application for ancient mortars identification developed by a multi-analytical approach
The present work shows the results of the chemical, mineralogical and colorimetric characterisation of the ancient mortars from Silla Islamic Tower (Valencia, Spain) and Fuengirola Castle (Malaga, Spain). The samples were characterised from the mineralogical point of view by X-ray diffractometry and mid-infrared attenuated total reflection spectroscopy, while portable energy dispersive X-ray fluorescence spectroscopy and inductively coupled plasm…
A smartphone-based innovative approach to discriminate red pigments in roman frescoes mock-ups
The characterization of red pigments in frescoes wall paintings has been of great interest for researchers to better understand raw material procurement dynamics, pigment receipts, stylistic evolution and to assess their conservation state. In this study a non-destructive colorimetric approach implementing a smartphone-based method was developed in order to be able to distinguish between three pigments made from minium, haematite and cinnabar min…
Smartphone photos as a non-destructive approach to characterise siliceous artefacts
A methodological proposal was developed for the study of prehistoric siliceous artefacts which includes the use of smartphone photography as an analytical tool. Different kinds of materials (cherts, rock crystal and quartzite) were sampled from the lithic assemblage of La Calvera rock-shelter (Camaleño, Spain), chosen as a case study. Each sample was photographed with a smartphone and colour features were compared with portable and non-destructiv…
Rare Earth Elements to Control Bone Diagenesis Processes at Rozafa Castle (Albania)
Archaeological bone chemical composition is modified post-mortem by diagenesis processes, and over decades, several authors have proposed different protocols to avoid post-depositional contamination that can carry to misleading interpretations about the lifestyle and origin of ancient populations. In this work, a methodological approach based on rare earth elements analysis was developed to determine diagenetic alterations on femurs, humeri, and …
Developing a non-invasive approach for prehistoric rock art characterization based on smartphone imaging colorimetry and spectroscopy
An artificial intelligence-based semiquantitative method based on visible spectroscopy and imaging to analyse inorganic red pigments in wall paintings
Red inorganic pigments (cinnabar, minium, and hematite) were selected. • A semiquantitative method using visible spectroscopy and digital imaging is shown. • SVM and ANN models estimate metal content in inorganic pigments. • RMSE for Fe, Pb, and Hg was ≤ 3.5 % with R2 up to 0.99. • Fast, affordable and non-invasive approach applicable to in-situ cultural heritage. Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing data ana…
Conservation Techniques and Studies (4 works) · Optics (4 works) · Art (3 works) · Chemistry (3 works) · Computer Science (3 works) · Cultural Heritage Materials Analysis (3 works) · Geology (3 works) · Materials Science (3 works) · Mineralogy (3 works) · Physics (3 works)