2019-2020 Non-Permitted Colours in Spices Data

Food adulteration is an increasing problem within the food industry. Food adulteration or misrepresentation is the intentional and deliberate substitution, dilution, counterfeiting or misrepresentation of food, ingredients or packaging, or labels containing false or misleading statements about the product itself for economic gain. This means that the consumer could be paying more for a product that isn't what it claims to be. This could pose a health risk to consumers if unidentified allergens or hazardous materials are added to food products.

Colours are added to foods to compensate for natural colour loss due to processing, to achieve a uniform product colour and to make food appear more appealing. This targeted survey is focused on non-permitted colours, Sudan I to IV, in red spices because they are potentially toxic and carcinogenic. Sudan I to IV are red dyes used for industrial products such as textiles, polish and paints and are banned for use in food.

A total of 63 red coloured spice samples such as paprika, sumac, chili powder and cayenne pepper were collected from retail and tested for non-permitted colours. None of the samples in this survey were found to contain detectable amounts of non-permitted colours.

Datasets available for download

Additional Info

Field Value
Last Updated October 1, 2024, 08:10 (UTC)
Created October 1, 2024, 08:10 (UTC)
Domain / Topic
Domain or topic of the dataset being cataloged.
Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
Dataset Size
Dataset size in megabytes.
Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
Published Date
Published date of the dataset.
2022-06-21
Time Period Data Span (start date)
Start date of the data in the dataset.
Time Period Data Span (end date)
End date of time data in the dataset.
GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
Field Value
Access category
Type of access granted for the dataset (open, closed, service, etc).
Limits on use
Limits on use of data.
Location
Location of the dataset.
Data Service
Data service for accessing a dataset.
Owner
Owner of the dataset.
Canadian Food Inspection Agency | Agence canadienne d'inspection des aliments
Contact Point
Who to contact regarding access?
Publisher
Publisher of the dataset.
Publisher Email
Email of the publisher.
cfia.openagency-agenceouverte.acia@inspection.gc.ca
Accessed At
Date the data and metadata was accessed.
Field Value
Identifier
Unique identifier for the dataset.
Language
Language(s) of the dataset
Link to dataset description
A URL to an external document describing the dataset.
Persistent Identifier
Data is identified by a persistent identifier.
Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
Contains data about individuals
Does the data hold data about individuals?
Contains data about identifiable individuals
Does the data hold identifiable data about individual?
Contains Indigenous Data
Does the data hold data about Indigenous communities?
Field Value
Source
Source of the dataset.
https://open.canada.ca/data/en/dataset/c2003a7b-9ca8-46cd-ba83-ecafd1c8569c
Version notes
Version notes about the dataset.
Is version of another dataset
Link to dataset that it is a version of.
Other versions
Link to datasets that are versions of it.
Provenance Text
Provenance Text of the data.
Provenance URL
Provenance URL of the data.
Temporal resolution
Describes how granular the date/time data in the dataset is.
GeoSpatial resolution in meters
Describes how granular (in meters) geospatial data is in the dataset.
GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
Field Value
Indigenous Community Permission
Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
Community Permission
Community permission (who gave permission).
The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
Field Value
Number of data rows
If tabular dataset, total number of rows.
Number of data columns
If tabular dataset, total number of unique columns.
Number of data cells
If tabular dataset, total number of cells with data.
Number of data relations
If RDF dataset, total number of triples.
Number of entities
If RDF dataset, total number of entities.
Number of data properties
If RDF dataset, total number of unique properties used by the triples.
Data quality
Describes the quality of the data in the dataset.
Metric for data quality
A metric used to measure the quality of the data, such as missing values or invalid formats.

0 Comments

Please login or register to comment.