A Multipurpose and Multilayered Microneedle Sensor for Redox Potential Monitoring in Diverse Food Analysis

This work presents a multipurpose and multilayered stainless steel microneedle sensor for the in situ redox potential monitoring in food and drink samples, termed MN redox sensor. The MN redox sensor was fabricated by layer-by-layer (LbL) approach. The in-tube multilayer coating comprised carbon nanotubes (CNTs)/cellulose nanocrystals (CNCs) as the first layer, polyaniline (PANI) as the second layer, and the ferrocyanide redox couple as the third layer. Using cyclic voltammetry (CV) as a transduction method, the MN redox sensor showed facile electron transfer for probing both electrical capacitance and redox potential, useful for both analyte specific and bulk quantification of redox species in various food and drink samples. The bulk redox species were quantified based on the anodic/cathodic redox peak shifts (Ea/Ec) on the voltammograms resulting from the presence of redox-active species. The MN redox sensor was applied to detect selected redox species including ascorbic acid, H2O2, and putrescine, with capacitive limits of detection (LOD) of 49.9, 17.8, and 263 ng/mL for each species, respectively. For the bulk determination of redox species, the MN redox sensor displayed LOD of 5.27 × 103, 55.4, and 25.8 ng/mL in ascorbic acid, H2O2, and putrescine equivalents, respectively. The sensor exhibited reproducibility of ~ 1.8% relative standard deviation (%RSD). The MN redox sensor was successfully employed for the detection of fish spoilage and antioxidant quantification in king mushroom and brewed coffee samples, thereby justifying its potential for food quality and food safety applications. Lastly, the portability, reusability, rapid sampling time, and capability of in situ analysis of food and drink samples makes it amenable for real-time sensing applications.

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:12

Enthalten in:

Biosensors - 12(2022), 11 vom: 10. Nov.

Sprache:

Englisch

Beteiligte Personen:

Mugo, Samuel M [VerfasserIn]
Dhanjai [VerfasserIn]
Lu, Weihao [VerfasserIn]
Robertson, Scott [VerfasserIn]

Links:

Volltext

Themen:

Ascorbic Acid
BBX060AN9V
Electrochemical microneedle sensor
Food quality monitoring
Food safety
H2O2
Hydrogen Peroxide
Journal Article
MN redox sensor
Nanotubes, Carbon
PQ6CK8PD0R
Putrescine
V10TVZ52E4

Anmerkungen:

Date Completed 14.11.2022

Date Revised 26.11.2022

published: Electronic

Citation Status MEDLINE

doi:

10.3390/bios12111001

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM348681178