Detailed Information

Cited 0 time in webofscience Cited 93 time in scopus
Metadata Downloads

Modern analytical methods for the detection of food fraud and adulteration by food category

Authors
Hong, EunyoungLee, Sang YooJeong, Jae YunPark, Jung MinKim, Byung HeeKwon, KisungChun, Hyang Sook
Issue Date
Sep-2017
Publisher
WILEY
Keywords
food authentication; adulteration; fraud; food categories; analytical methods; geographical origin
Citation
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE, v.97, no.12, pp 3877 - 3896
Pages
20
Journal Title
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
Volume
97
Number
12
Start Page
3877
End Page
3896
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/8145
DOI
10.1002/jsfa.8364
ISSN
0022-5142
1097-0010
Abstract
This review provides current information on the analytical methods used to identify food adulteration in the six most adulterated food categories: animal origin and seafood, oils and fats, beverages, spices and sweet foods (e.g. honey), grain-based food, and others (organic food and dietary supplements). The analytical techniques (both conventional and emerging) used to identify adulteration in these six food categories involve sensory, physicochemical, DNA-based, chromatographic and spectroscopic methods, and have been combined with chemometrics, making these techniques more convenient and effective for the analysis of a broad variety of food products. Despite recent advances, the need remains for suitably sensitive and widely applicable methodologies that encompass all the various aspects of food adulteration. (c) 2017 Society of Chemical Industry
Files in This Item
Go to Link
Appears in
Collections
생활과학대학 > 식품영양학과 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Byung Hee photo

Kim, Byung Hee
생활과학대학 (식품영양학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE