| Literature DB >> 35326234 |
Irina Georgiana Munteanu1, Constantin Apetrei1.
Abstract
Currently, there is growing interest in screening and quantifying antioxidants from biological samples in the quest for natural and effective antioxidants to combat free radical-related pathological complications. Antioxidants play an important role in human health and provide a defense against many diseases. Due to the valuable dietary role of these compounds, the analysis and determination of their amount in food is of particular importance. In recent years, many attempts have been made to provide simple, fast, and economical analytical approaches for the on-site detection and determination of antioxidant activity in food antioxidants. In this regard, electrochemical sensors and biosensors are considered promising tools for antioxidant research due to their high sensitivity, fast response time, and ease of miniaturization; thus, they are used in a variety of fields, including food analysis, drug screening, and toxicity research. Herein, we review the recent advances in sensors and biosensors for the detection of antioxidants, underlying principles, and emphasizing advantages, along with limitations regarding the ability to discriminate between the specific antioxidant or quantifying total antioxidant content. In this work, both direct and indirect methods for antioxidants detecting with electrochemical sensors and biosensors are analyzed in detail. This review aims to prove how electrochemical sensors and biosensors represent reliable alternatives to conventional methods for antioxidant analysis.Entities:
Keywords: DNA; antioxidant activity; biosensors; enzymes; sensors
Year: 2022 PMID: 35326234 PMCID: PMC8945540 DOI: 10.3390/antiox11030584
Source DB: PubMed Journal: Antioxidants (Basel) ISSN: 2076-3921
Figure 1Classification of antioxidants.
Several examples of electrochemical assays based on sensors for the determination of antioxidants in food samples.
| Nanomaterial | Antioxidants | Method | Linear Range | Limit of Detection (µM) | Real Sample | Ref. |
|---|---|---|---|---|---|---|
| GCE | Gallic acid | CV | 19.8–1000 | 0.57–12 | Spices | [ |
| Graphite modified | Gallic acid | DPV | 2.5 × 10−1–100 | 1.48 × 10−1 | Wine samples | [ |
| Carbon paste electrode modified with carbon nanotubes | Gallic acid | DPV | 5.0 × 10−1– | 3.0 × 10−1 | Red and white wine | [ |
| G/PTH/N-GPH/GCE | Myricetin | SWV | 2.8–17 | 1.19 | Fruit juices and | [ |
SWV (square-wave voltammetry); [Cu2tpmc](ClO4)4 (dinuclear copper(II) octaazamacrocyclic N,N’,N’’,N’’’-tetrakis(2-pyridylmethyl)-1,4,8,11-tetraazacyclotetradecane complex); PVC (Poly(vinyl chloride)); AuNP (gold nanoparticles); G/PTH/N-GPH/GCE (electrochemical sensor based on guanine-, polythionine-, and nitrogen-doped graphene-modified glassy carbon electrode).
Figure 2The schematic representation of developing a modified electrode based on enzymes. Published from [102] with the permission of the publisher.
Figure 3Tyrosinase reaction mechanism (A = cresolasic activity; B = catecholasic activity).
Figure 4Active sites of the tyrosinase enzyme [73].
Figure 5Principle of amperometric biosensor based on tyrosinase for TEAC evaluation [118].
Figure 6The oxidation reaction of phenolic compounds catalyzed by the laccase enzyme.
Figure 7A schematic representation of SPCE modified with a Ppy/Lac/AuNPs nanocomposite film for the quantification of polyphenols in propolis samples. Published from [124] with the permission of the publisher.
Figure 8The mechanism of the oxidation reaction of phenolic compounds catalyzed by the peroxidase enzyme.
Several examples of enzyme-based biosensors for the determination of antioxidants in food samples.
| Receptor | Strategy | Detection Method | Target | Linear Range (µM) | LOD (µM) | Matrix | Ref. |
|---|---|---|---|---|---|---|---|
| Tyrosinase | Entrapment with water-soluble PVA, cross-linking using glutaraldehyde GA, | Amperometry | Catechol | 0–109 | 26 ± 1 | Infusions of: | [ |
| Tyrosinase immobilization onto a carbon paste electrode, in a Nafion film | Amperometry | p-hydroquinone | 20–120 | 1.6 | Red wine | [ | |
| Laccase | Laccase immobilization onto AuNPs/GNPI/SPCE | Amperometry | Hydroquinone | 4–130 | 1.5 | Blueberry syrup | [ |
| Laccase immobilization onto AuNPs/Ppy/SPCE | Amperometry | Polyphenolic | 1–250 | 0.83 | Propolis | [ | |
| Tyrosinase or laccase | Amperometry | Catechol, gallic acid, pyrogallol, 1,2-dihydroxybenzoic acid, | 1–340 | Tyrosinase | Fruit juice | [ | |
| Tyrosinase- | Bi-immobilization of laccase and tyrosinase phenoloxidase enzymes onto the electrode surface dopped with a mixture of the enzymes, glutaricdialdehyde and Nafion-ion exchanger | CA | Gallic acid | 0.1–15.0 | 19.0 × 10−2 | Beer | [ |
| Modification of an ITO electrode with multiwalled carbon nanotubes, and co-entrapping the enzymes laccase and tyrosinase into a chitosan matrix | CA | Rosmarinic acid | 4.0 × 10−–6.4 | 2.50 × 10−1 | extracts of | [ | |
| Peroxidase | Immobilization of HRP and DNA onto silica–titanium | Amperometry | Chlorogenic acid | 1–50 | 0.7 | Coffee | [ |
AuNPs/GNPI/SPCE (a gold nanoparticles–graphene nanoplatelet-modified screen-printed carbon electrode); AuNPs/Ppy/SPCE (gold nanoparticles electrodeposited in a screen-printed carbon electrode modified with polypyrrole) ITO (indium–tin oxide); GO-MWCNTs (graphene oxide and multi-walled carbon nanotubes); CA (chronoamperometry).
Several examples of DNA-based biosensors for the determination of antioxidants in food samples.
| Receptor | Strategy | Detection Method | Target Molecule | Linear Range | LOD | Matrix | Ref. |
|---|---|---|---|---|---|---|---|
| DNA | Immobilization of purine bases, guanine, and adenine on a GCE | SWV | Ascorbic acid | 5.6–28.38 | 4.37 | Beverages | [ |
| GCE modification with guanine/TiO2NPs/MWCNTs | DPV | Na2S2O5 | 1000–30,000 | 540 | Adrenaline hydrochloride injection | [ |