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Archivio digitale delle tesi discusse presso l’Università di Pisa

Tesi etd-03212025-164641


Tipo di tesi
Tesi di laurea magistrale
Autore
PUNTONI, GIULIA
URN
etd-03212025-164641
Titolo
Sviluppo e ottimizzazione di strategie di funzionalizzazione di biosensori acustoelettrici per la rilevazione di polifenoli nell’oliva
Dipartimento
BIOLOGIA
Corso di studi
BIOTECNOLOGIE MOLECOLARI
Relatori
relatore Prof. Cecchini, Marco
Parole chiave
  • Acoustic Biosensors
  • Antifouling
  • Bioreceptors
  • Bovine Serum Albumin
  • Bulk Acoustic Wave
  • EDC/NHS
  • Ethanolamine Blocking
  • Ethylenediamine Blocking
  • Functionalization
  • Gelatin-A
  • Hydroxytyrosol
  • Lab-On-Chip
  • Olive Oil
  • Olive Ripening
  • Polyphenols
  • QCM-D
  • Surface Chemistry
Data inizio appello
07/04/2025
Consultabilità
Non consultabile
Data di rilascio
07/04/2028
Riassunto
The quantification of polyphenols in olives during maturation could be a useful parameter for determining the optimal ripeness and harvest time, thus contributing to the production of high-quality olive oil. This study explores Bulk Acoustic Wave (BAW) sensors based on Quartz Crystal Microbalance with Dissipation (QCM-D) for monitoring polyphenols, like hydroxytyrosol, in olives. Glucose was selected as a non-specific molecule due to its possible presence in olive samples. Two bioreceptors, Bovine Serum Albumin (BSA) and Gelatin-A (Gel-A), were tested, immobilized on a 12-Mercaptododecanoic acid (12-MDA) adlayer under non-activated and EDC/NHS-activated conditions (1-ethyl-3-(3-dimethylaminopropyl)carbodiimide/N-hydroxysuccinimide strategy). The results showed that Gel-A, when immobilized on the non-activated adlayer, exhibited significantly higher selectivity for hydroxytyrosol than for glucose, suggesting promising effectiveness of Gel-A as a probe. Conversely, BSA was inefficient in distinguishing the analyte from non-specific molecules. Ethylenediamine (EDA) proved to be a better blocking agent than ethanolamine (ETA). This biosensor approach, easily adaptable to Lab-On-Chip platforms, could enhance in situ polyphenol assessment, optimizing harvesting efficiency and olive oil quality.
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