Long-term stable, high accuracy, and visual detection platform for In-field analysis of nitrite in food based on colorimetric test paper and deep convolutional neural networks.
Food Chem
; 373(Pt B): 131593, 2022 Mar 30.
Article
in En
| MEDLINE
| ID: mdl-34838401
ABSTRACT
Nitrite is one of the most common carcinogens in daily food. Its simple, rapid, inexpensive, and in-field measurement is important for food safety, based on the requirements of the standard from Codex Alimentarius Commission and China. Using polyacrylonitrile (PAN) and thin layer silica gel (SG), p-aminophenylcyclic acid (SA) and naphthalene ethylenediamine hydrochloride (NEH), as carriers and chromogenic agents, respectively, PAN-NSS as nitrite color sensor is proposed. After fixing and protecting of SA and NEH with layer-upon-layer PAN, the validity period of the test paper can be prolonged from 7 days to more than 30 days. The reproducibility of PAN-NSS preparation is ensured by electrospinning. Combined with PAN-NSS, deep convolutional neural network (DCNN) and APP as a visual monitoring platform, which has the functions of rapid sampling, data processing and transmission, intuitive feedback, etc., and provides a fully integrated detection system for field detection.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Colorimetry
/
Nitrites
Type of study:
Diagnostic_studies
/
Prognostic_studies
Country/Region as subject:
Asia
Language:
En
Journal:
Food Chem
Year:
2022
Document type:
Article
Affiliation country:
China