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Quijano, M. Ángeles
~ 600  Ergebnisse:
Personensuche X
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1

Artificial Neural Networks to Predict Electrical Conductivi..:

Mateo, Luis F. ; Más-López, M. Isabel ; García-del-Toro, Eva M...
Agronomy.  14 (2024)  3 - p. 524 , 2024
Link: https://doi.org/10.3390/..
 
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2

Machine Learning as a Diagnosis Tool of Groundwater Quality..:

García-del-Toro, Eva M. ; García-Salgado, Sara ; Mateo, Luis F...
Agronomy.  12 (2022)  12 - p. 3076 , 2022
Link: https://doi.org/10.3390/..
 
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3

A Gnotobiotic Model to Examine Plant and Microbiome Contrib..:

Molina, María del Carmen ; White, James F. ; García-Salgado, Sara..
Microorganisms.  9 (2020)  1 - p. 45 , 2020
Link: https://doi.org/10.3390/..
 
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4

Controlled Synthesis and Microstructural Properties of Sol-..:

Cerro-Prada, Elena ; García-Salgado, Sara ; Quijano, M. Ángeles.
Nanomaterials.  9 (2018)  1 - p. 26 , 2018
Link: https://doi.org/10.3390/..
 
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5

Rapid metal extractability tests from polluted mining soils..:

García-Salgado, Sara ; Quijano, M. Ángeles
Environmental Science and Pollution Research.  23 (2016)  24 - p. 24567-24577 , 2016
Link: https://doi.org/10.1007/..
 
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6

Stability of toxic arsenic species and arsenosugars found i..:

García-Salgado, Sara ; Quijano, M. Ángeles
Talanta.  128 (2014)  - p. 83-91 , 2014
Link: https://doi.org/10.1016/..
 
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7

Levels of toxic arsenic species in native terrestrial plant..:

García-Salgado, Sara ; Quijano, M. Ángeles
Environmental Science: Processes & Impacts.  16 (2014)  3 - p. 604 , 2014
Link: https://doi.org/10.1039/..
 
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8

Accuracy evaluation of ultrasound probe sonication and micr..:

García-Casillas, David ; García-Salgado, Sara ; Quijano, M. Ángeles
Anal. Methods.  6 (2014)  20 - p. 8403-8412 , 2014
Link: https://doi.org/10.1039/..
 
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9

Selenium speciation in animal tissues after enzymatic diges..:

Quijano, M. Angeles ; Moreno, Patricia ; Guti�rrez, Ana Maria..
Journal of Mass Spectrometry.  35 (2000)  7 - p. 878-884 , 2000
Link: https://doi.org/10.1002/..
 
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10

Determination of selenium species in human urine by high pe..:

Quijano, M.Angeles ; Gutiérrez, Ana Maria ; Pérez-Conde, M.Concepción.
Talanta.  50 (1999)  1 - p. 165-173 , 1999
Link: https://doi.org/10.1016/..
 
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11

Use of Artificial Neural Networks as a Predictive Tool of D..:

García del Toro, Eva M. ; Mateo, Luis Francisco ; García-Salgado, Sara..
International Journal of Environmental Research and Public Health.  19 (2022)  8 - p. 4531 , 2022
Link: https://doi.org/10.3390/..
 
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12

Machine Learning as a Diagnosis Tool of Groundwater Quality..:

Eva M. García-del-Toro ; Sara García-Salgado ; Luis F. Mateo..
Water Use and Irrigation.  , 2022
Link: https://doi.org/10.3390/..
 
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13

Machine Learning as a Diagnosis Tool of Groundwater Quality..:

Eva M. García-del-Toro ; Sara García-Salgado ; Luis F. Mateo..
https://www.mdpi.com/2073-4395/12/12/3076.  , 2022
Link: https://doi.org/10.3390/..
 
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14

A Gnotobiotic Model to Examine Plant and Microbiome Contrib..:

María del Carmen Molina ; James F. White ; Sara García-Salgado..
Plant Microbe Interactions.  , 2020
Link: https://doi.org/10.3390/..
 
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15

A Gnotobiotic Model to Examine Plant and Microbiome Contrib..:

María del Carmen Molina ; James F. White ; Sara García-Salgado..
https://www.mdpi.com/2076-2607/9/1/45.  , 2020
Link: https://doi.org/10.3390/..
 
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