2014
DOI: 10.1002/cem.2654
|View full text |Cite
|
Sign up to set email alerts
|

A chemometric approach: characterization of quality and authenticity of artisanal honeys from Argentina

Abstract: The demand of honey with defined quality has increased around the world; therefore, an adequate description of the traceability and authenticity of honeys is necessary. The pollen and physicochemical characteristics of 58 honey samples collected from five different environmental units (EUs) of the Jujuy province (Argentine) were determined, in order to differentiate them by geographical origin through the application of chemometric methods. A qualitative pollen analysis was performed by microscopy. The physico… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

3
16
0
1

Year Published

2016
2016
2020
2020

Publication Types

Select...
6

Relationship

2
4

Authors

Journals

citations
Cited by 12 publications
(20 citation statements)
references
References 36 publications
3
16
0
1
Order By: Relevance
“…). In addition, concentrations determined as acceptable in the quinoa bars presented functional activities in other foods …”
Section: Discussionmentioning
confidence: 98%
See 1 more Smart Citation
“…). In addition, concentrations determined as acceptable in the quinoa bars presented functional activities in other foods …”
Section: Discussionmentioning
confidence: 98%
“…All formulations contained honey and/or sugar (Table and Table ) and they underwent a heating process to form the binder. Therefore Maillard products and others compounds could be generated, contributing to taste and odor in the final product . For example, Narbona et al .…”
Section: Discussionmentioning
confidence: 99%
“…Chemometrics help to reduce the complexity of large datasets, offering better explanations, commentaries and comprehension. [12] The most commonly used applications of chemometrics are principal component analysis (PCA) [1] , cluster analysis (CA) [13] , and linear discriminant analysis (LDA). Not only can chemometrics summarize useful information from a given series of data, but also it can predict another series.…”
Section: Introductionmentioning
confidence: 99%
“…In fact, agronomic conditions, such as soil, water, or climate, among others, can influence the concentration of elements present in juices . The use of statistical tools, like principal component analysis (PCA) and hierarchical cluster analysis (CA), make it possible to distinguish juices based on their geographical, processing, or botanic origins …”
Section: Introductionmentioning
confidence: 99%