Next Article in Journal
Optimization of Astaxanthin Recovery in the Downstream Process of Haematococcus pluvialis
Next Article in Special Issue
High-Throughput Flow Injection Analysis–Mass Spectrometry (FIA-MS) Fingerprinting for the Authentication of Tea Application to the Detection of Teas Adulterated with Chicory
Previous Article in Journal
Sensory Description and Consumer Hedonic Perception of Ultra-High Temperature (UHT) Milk
Previous Article in Special Issue
Handheld Spectral Sensing Devices Should Not Mislead Consumers as Far as Non-Authentic Food Is Concerned: A Case Study with Adulteration of Milk Powder
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

A Review on Recent Sensing Methods for Determining Formaldehyde in Agri-Food Chain: A Comparison with the Conventional Analytical Approaches

Department of Agricultural, Environmental and Food Sciences (DiAAA), University of Molise, Via De Sanctis, I-86100 Campobasso, Italy
*
Author to whom correspondence should be addressed.
Foods 2022, 11(9), 1351; https://doi.org/10.3390/foods11091351
Submission received: 17 April 2022 / Revised: 1 May 2022 / Accepted: 5 May 2022 / Published: 6 May 2022

Abstract

Formaldehyde, the simplest molecule of the aldehyde group, is a gaseous compound at room temperature and pressure, is colorless, and has a strong, pungent odor. It is soluble in water, ethanol, and diethyl ether and is used in solution or polymerized form. Its maximum daily dosage established by the EPA is 0.2 μg g−1 of body weight whereas that established by the WHO is between 1.5 and 14 mg g−1: it is in category 1A of carcinogens by IARC. From an analytical point of view, formaldehyde is traditionally analyzed by HPLC with UV-Vis detection. Nowadays, the need to analyze this compound quickly and in situ is increasing. This work proposes a critical review of methods for analyzing formaldehyde in food using sensing methods. A search carried out on the Scopus database documented more than 50 papers published in the last 5 years. The increase in interest in the recognition of the presence of formaldehyde in food has occurred in recent years, above all due to an awareness of the damage it can cause to human health. This paper focuses on some new sensors by analyzing their performance and comparing them with various no-sensing methods but focusing on the determination of formaldehyde in food products. The sensors reported are of various types, but they all share a good LOD, good accuracy, and a reduced analysis time. Some of them are also biodegradable and others have a very low cost, many are portable and easy to use, therefore usable for the recognition of food adulterations on site.
Keywords: formaldehyde; food; determination; review; sensing methods; sensors; electrochemical detection; HPLC; GC; comparison formaldehyde; food; determination; review; sensing methods; sensors; electrochemical detection; HPLC; GC; comparison

Share and Cite

MDPI and ACS Style

Fappiano, L.; Carriera, F.; Iannone, A.; Notardonato, I.; Avino, P. A Review on Recent Sensing Methods for Determining Formaldehyde in Agri-Food Chain: A Comparison with the Conventional Analytical Approaches. Foods 2022, 11, 1351. https://doi.org/10.3390/foods11091351

AMA Style

Fappiano L, Carriera F, Iannone A, Notardonato I, Avino P. A Review on Recent Sensing Methods for Determining Formaldehyde in Agri-Food Chain: A Comparison with the Conventional Analytical Approaches. Foods. 2022; 11(9):1351. https://doi.org/10.3390/foods11091351

Chicago/Turabian Style

Fappiano, Luigi, Fabiana Carriera, Alessia Iannone, Ivan Notardonato, and Pasquale Avino. 2022. "A Review on Recent Sensing Methods for Determining Formaldehyde in Agri-Food Chain: A Comparison with the Conventional Analytical Approaches" Foods 11, no. 9: 1351. https://doi.org/10.3390/foods11091351

APA Style

Fappiano, L., Carriera, F., Iannone, A., Notardonato, I., & Avino, P. (2022). A Review on Recent Sensing Methods for Determining Formaldehyde in Agri-Food Chain: A Comparison with the Conventional Analytical Approaches. Foods, 11(9), 1351. https://doi.org/10.3390/foods11091351

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop