Antonio Cid-Samamed

Dr. Antonio Cid-Samamed

Physical Chemistry Department, Faculty of Sciences, University of Vigo, Ourense, Galicia, Spain
orcid

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

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

Representative Publications

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16 February 2022 in Food Chemistry
Verified
Journal Article
Open access
Antonio Cid-SamamedAntonio Cid-Samamed
Antonio Cid-Samamed
JRJaruporn Rakmai
Jaruporn Rakmai
Juan C. MejutoJuan C. Mejuto
Juan C. Mejuto
Jesus Simal-GandaraJesus Simal-Gandara
Jesus Simal-Gandara
GAG. Astray
G. Astray
This review offers a vision of the chemical behaviour of natural ingredients, synthetic drugs and other related compounds complexed using cyclodextrins. The review takes care of different sections related to i) the inclusion complexes formation with cyclodextrins, ii) the determination of the inclusion formation constant, iii) the most used methods to prepare host inclusion in the non-polar cavity of cyclodextrins and iv) the analytical techniques to evidence host inclusion. The review provides different literature that shows the application of cyclodextrins to improve physical, chemical, and biological characteristics of food compounds including solubility, stability and their elimination/masking. Moreover, the review also offers examples of commercial food/supplement products of cyclodextrins to indicate that cyclodextrins can be used to generate biotechnological substances with innovative properties and improve the development of food products.

1 March 2015 in Journal of Hazardous Materials
Verified
Journal Article
Closed access
Antonio Cid-SamamedAntonio Cid-Samamed
Antonio Cid-Samamed
APAna Picado
Ana Picado
JCJosé Brito Correia
José Brito Correia
RCRúben Chaves
Rúben Chaves
HSHéber Silva
Héber Silva
Mário DinizMário Diniz
Mário Diniz

15 March 2023 in Nanomaterials
Verified
Journal Article
Open access
PDF file
GAG. Astray
G. Astray
ALAntón Soria López
Antón Soria López
Enrique Barreiro-AlonsoEnrique Barreiro-Alonso
Enrique Barreiro-Alonso
Juan C. MejutoJuan C. Mejuto
Juan C. Mejuto
Antonio Cid-SamamedAntonio Cid-Samamed
Antonio Cid-Samamed
Nowadays, there is an extensive production and use of plastic materials for different industrial activities. These plastics, either from their primary production sources or through their own degradation processes, can contaminate ecosystems with micro- and nanoplastics. Once in the aquatic environment, these microplastics can be the basis for the adsorption of chemical pollutants, favoring that these chemical pollutants disperse more quickly in the environment and can affect living beings. Due to the lack of information on adsorption, three machine learning models (random forest, support vector machine, and artificial neural network) were developed to predict different microplastic/water partition coefficients (log Kd) using two different approximations (based on the number of input variables). The best-selected machine learning models present, in general, correlation coefficients above 0.92 in the query phase, which indicates that these types of models could be used for the rapid estimation of the absorption of organic contaminants on microplastics.

1 January 2013 in Food Research International
Verified
Journal Article
Closed access
Antonio Cid-SamamedAntonio Cid-Samamed
Antonio Cid-Samamed
Juan C. MejutoJuan C. Mejuto
Juan C. Mejuto
POP.G. Orellana
P.G. Orellana
OLO. López-Fernández
O. López-Fernández
Raquel RialRaquel Rial
Raquel Rial
Jesus Simal-GandaraJesus Simal-Gandara
Jesus Simal-Gandara

BMBeatriz Matos
Beatriz Matos
MMMarta Martins
Marta Martins
Antonio Cid-SamamedAntonio Cid-Samamed
Antonio Cid-Samamed
DSDavid Magalhães Sousa
David Magalhães Sousa
IFIsabel Ferreira
Isabel Ferreira
Mário DinizMário Diniz
Mário Diniz
The exponential growth of nanotechnology has led to the production of large quantities of nanomaterials for numerous industrial, technological, agricultural, environmental, food and many other applications. However, this huge production has raised growing concerns about the adverse effects that the release of these nanomaterials may have on the environment and on living organisms. Regarding the effects of QDs on aquatic organisms, existing data is scarce and often contradictory. Thus, more information is needed to understand the mechanisms associated with the potential toxicity of these nanomaterials in the aquatic environment. The toxicity of QDs (ZnS and CdS) was evaluated in the freshwater fish Danio rerio. The fishes were exposed for seven days to different concentrations of QDs (10, 100 and 1000 µg/L) individually and combined. Oxidative stress enzymes (catalase, superoxide dismutase and glutathione S-transferase), lipid peroxidation, HSP70 and total ubiquitin were assessed. In general, results suggest low to moderate toxicity as shown by the increase in catalase activity and lipid peroxidation levels. The QDs (ZnS and CdS) appear to cause more adverse effects singly than when tested combined. However, LPO results suggest that exposure to CdS singly caused more oxidative stress in zebrafish than ZnS or when the two QDs were tested combined. Levels of Zn and Cd measured in fish tissues indicate that both elements were bioaccumulated by fish and the concentrations increased in tissues according to the concentrations tested. The increase in HSP70 measured in fish exposed to 100 µg ZnS-QDs/L may be associated with high levels of Zn determined in fish tissues. No significant changes were detected for total ubiquitin. More experiments should be performed to fully understand the effects of QDs exposure to aquatic biota.

18 May 2022 in Nanomaterials
Verified
Journal Article
Open access
PDF file
JSJayashree Shanmugam
Jayashree Shanmugam
MDMANIKANDAN DHAYALAN
MANIKANDAN DHAYALAN
SRSU Mohammed Riyaz
SU Mohammed Riyaz
MGMayakkannan Gopal
Mayakkannan Gopal
Moonis Ali KhanMoonis Ali Khan
Moonis Ali Khan
Antonio Cid-SamamedAntonio Cid-Samamed
Antonio Cid-Samamed
The chemical content of plant excerpts can be efficiently employed to reduce the metal ions to nanoparticles in the one-pot green production method. Here, green production of silver nanoparticles (AC-AgNPs) is performed by means of Allium cepa var. Aggregatum (shallot) extract as a stabilizer and reducer. The shape, size, and morphology of resultant AC-AgNPs are examined by optical spectroscopy analysis such as UV for nucleation and coalescence processes of the AC-AgNPs. Through FTIR functional group is determined and through DLS size is defined, it was confirmed that metallic AgNPs were successfully synthesized through the green synthesis route, and these results agreed well with the results obtained in the XRD pattern along with TEM spectroscopy, where the TEM images confirm the formation of sphere-like nanostructures along with SAED analysis. The chemical characterization is performed with XPS; the obtained molecular species in the materials are determined from the energy profile. Antioxidant activity of AC-AgNPs versus DPPH substrate is carried out. Antibacterial activity is well established against Gram-negative and Gram-positive organisms. Cell viability is accomplished, followed by an MTT assay, and a cytotoxicity assay of AC-AgNPs on MCF—7 cell lines is also carried out. Highlights: (1). This study highlights the eco-friendly synthesis of silver nanoparticles from Allium cepa var. Aggregatum Natural Extract. (2). The synthesized AC-AgNPs were characterized by UV-VIS, FT-IR, XRD, TEM, and XPS. (3). The synthesized nanoparticles were well dispersed in nature and the size range of 35 ± 8 nm. (4). The anti-candidal activity of biosynthesized silver nanoparticles was evaluated against the following Gram-Negative organisms: Escherichia coli (E. coli), and the following Gram-positive organisms: Staphylococcus aureus strains. The biosynthesized AC-AgNPs showed enhanced antiseptic features anti both Gram-positive and negative organisms. (5). Besides, the in vitro cytotoxic outcomes of AC-AgNPs were assessed versus MCF-7 cancerous cells, and the reduction in the feasibility of cancer cells was established via MTT assay, which suggests potential biomedical applications.