BrainMap

Maria David

- INSTITUTUL NATIONAL DE CERCETARE DEZVOLTARE PENTRU TEHNOLOGII IZOTOPICE SI MOLECULARE I N C D T I M

Researcher | Student

Expertise & keywords

Wine fingerprint recognition based on spectroscopic methods and Artificial Intelligence Call name: P 2 - SP 2.1 - Proiect experimental - demonstrativ
PN-III-P2-2.1-PED-2021-1095 2022 - 2024

Role in this project:

Coordinating institution: INSTITUTUL NATIONAL DE CERCETARE DEZVOLTARE PENTRU TEHNOLOGII IZOTOPICE SI MOLECULARE I N C D T I M

Project partners: INSTITUTUL NATIONAL DE CERCETARE DEZVOLTARE PENTRU TEHNOLOGII IZOTOPICE SI MOLECULARE I N C D T I M (RO)

Affiliation:

Project website: https://www.itim-cj.ro/PNCDI/winerec-ai/index.html

Abstract:

One of the most important questions in enology and prevention of wines adulteration are related to the correct assessment of geographical origin, cultivar and vintage. Apart from the continuous improvement of analytical methods, an important aspect is related to the development of reliable data processing tools. Metabolomics represents the comprehensive and nonselective analytical chemistry approach aimed to prove a global description of all the metabolites present in a biological sample at any given time. The main methods of metabolomic analysis rely on spectroscopic detection. Two basic approaches are used in metabolomics: target and nontargeted (profiling and fingerprinting) analysis. Presently, the main analytical techniques that are used for food metabolomics studies are nuclear magnetic resonance (NMR) as well as mass spectrometry (MS)- based techniques. Beside these, Raman spectroscopy also proved a high potential for the development of new recognition models for food and beverage differentiation and starts to benefit by an increase interest from research and control laboratories in this regard. Nowadays, an emerging step in the development of food and beverages authentication tools is given by the application of artificial intelligence (AI) for the construction of recognition models with respect to predefined criteria (i.e. geographical origin, cultivar, vintage). The project aims the development of an innovative web application for wine authenticity control which will rely on new recognition models for wine discrimination according to geographical origin, cultivar and vintage. The models will be built using artificial intelligence (AI) for the advanced data processing of the 1H-NMR and Raman spectra. Different Machine Learning algorithms (ML) will be used for the models’ development. The approach based on which the best recognition models will be built will be further used for the web application development.

Metabolomic approaches – challenges and a step forward in honey recognition. Call name: P 4 - Proiecte de Cercetare Exploratorie, 2020
PN-III-P4-ID-PCE-2020-0644 2021 - 2023

Role in this project:

Coordinating institution: INSTITUTUL NATIONAL DE CERCETARE DEZVOLTARE PENTRU TEHNOLOGII IZOTOPICE SI MOLECULARE I N C D T I M

Project partners: INSTITUTUL NATIONAL DE CERCETARE DEZVOLTARE PENTRU TEHNOLOGII IZOTOPICE SI MOLECULARE I N C D T I M (RO)

Affiliation:

Project website: https://www.itim-cj.ro/PNCDI/honeyomics/

Abstract:

At EU level, the demanded honey quantities are not satisfied by internal production. As a result, significant quantities are imported from other countries outside EU (i.e. China, Argentina) which need a rigorous control, honey being the third most adulterated product in the world. Its price tendency will be directly reflected in the rarity of a certain honey type, either in terms of geographical or botanical origin. In this case, the temptation of passing some counterfeit, cheap honeys under the label of some exclusive ones, in order to gain an illegal profit exists among some sellers or unfair producers. In this context, this project aims the development of new chemometric models able to differentiate among honeys with distinct geographical and botanical origin and also to detect honey adulteration through the addition of cheaper honey types to much rare honey varieties. Metabolomic approches based on vibrational (IR, Raman) and fluorescence spectroscopies will be developed, their classification potential being compared and validated based on acknowledged methods like isotope and elemental profiling. The large generated experimental data sets will be processed using supervised chemometric techniques (LDA and SIMCA) as well as artificiall intelligence (Machine Learning). The development of predictive models able to differentiate among distinct honey varieties and to identify adulterated samples using Machine Learning will represent a novelty at international level.

Tailoring Organochalcogen (Se, Te) Based Compounds with Potential as Antitumor Agents. Call name: P 4 - Proiecte de Cercetare Exploratorie, 2020
PN-III-P4-ID-PCE-2020-1028 2021 - 2023

Role in this project:

Coordinating institution: UNIVERSITATEA BABES BOLYAI

Project partners: UNIVERSITATEA BABES BOLYAI (RO)

Affiliation:

Project website: http://www.chem.ubbcluj.ro/~ccsoom/organometallic/pce1028.html

Abstract:

The goal of this proposal is to obtain new organochalcogen compounds and metal complexes which can act as efficient antitumor and chemopriventive agents. Our objectives are: (i) to design organochalcogen derivatives of type R2E2, RR'E, R2E (E = Se,Te; R,R' = organic groups with donor atoms capable for intra- or intermolecular interactions) and their metal (Au,Ag,Zn,Sn,Bi) complexes, with potential as antioxidant, antitumor and chemopreventive agents, (ii) to study their solution behavior and solid state structure, (iii) to assay their antitumor activity against commercial tumor cell lines, (iv) to find an optimized strategy, based on experimental evidence and theoretical approach (DFT, QSAR) for highly active species with low toxicity, (v) to investigate the relation structure-antioxidant activity-antitumor properties for selected classes of compounds and (vi) to identify the interaction mechanism at cell level. The proposed organochalcogen compounds are flexible, potential tridentate systems, containing, besides Se or Te, other functionalities (pyrazole (pz), phenylthiazole (Phtz), amino, imino, COOH, OH) which share with the central chalcogen or the metal their donation ability and the own biological properties. The chosen ligands and their metal complexes are very attractive both for fundamental research and as promising active antitumor agents. The project combines research excellence and complementarity and is essentially based on inter- and multidisciplinary studies.

FILE DESCRIPTION	DOCUMENT
List of research grants as project coordinator or partner team leader
Significant R&D projects for enterprises, as project manager
R&D activities in enterprises
Peer-review activity for international programs/projects