Nanomaterial-Based Sensing and Biosensing of Phenolic Compounds and Related Antioxidant Capacity in Food

• Published in: Sensors (Basel, Switzerland) Vol. 18; no. 2; p. 462
• Main Authors: Della Pelle, Flavio, Compagnone, Dario
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 04-02-2018; MDPI
• Subjects: Analytical chemistry; antioxidant capacity; Antioxidants; Beverages; biosensors; Food; metal nanoparticles; Nanomaterials; nanostructured sensors; Organic chemistry; Phenols; Polyphenols; Quality assessment; Quality assurance; Quantum dots; Review; sensors; total polyphenols; polyphenols; sensors; antioxidant capacity; biosensors; nanomaterials; nanostructured sensors; metal nanoparticles; total polyphenols; food
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s18020462

Polyphenolic compounds (PCs) have received exceptional attention at the end of the past millennium and as much at the beginning of the new one. Undoubtedly, these compounds in foodstuffs provide added value for their well-known health benefits, for their technological role and also marketing. Many efforts have been made to provide simple, effective and user friendly analytical methods for the determination and antioxidant capacity (AOC) evaluation of food polyphenols. In a parallel track, over the last twenty years, nanomaterials (NMs) have made their entry in the analytical chemistry domain; NMs have, in fact, opened new paths for the development of analytical methods with the common aim to improve analytical performance and sustainability, becoming new tools in quality assurance of food and beverages. The aim of this review is to provide information on the most recent developments of new NMs-based tools and strategies for total polyphenols (TP) determination and AOC evaluation in food. In this review optical, electrochemical and bioelectrochemical approaches have been reviewed. The use of nanoparticles, quantum dots, carbon nanomaterials and hybrid materials for the detection of polyphenols is the main subject of the works reported. However, particular attention has been paid to the success of the application in real samples, in addition to the NMs. In particular, the discussion has been focused on methods/devices presenting, in the opinion of the authors, clear advancement in the fields, in terms of simplicity, rapidity and usability. This review aims to demonstrate how the NM-based approaches represent valid alternatives to classical methods for polyphenols analysis, and are mature to be integrated for the rapid quality assessment of food quality in lab or directly in the field.