Children's Food Project 2009-2010

​In the 2009 – 2010 CFP, a total of 821 processed and manufactured food samples were purchased in the Ottawa – Gatineau area. Samples included a variety of candy, cereals, chocolate, dairy products, juice, meat products, nuts and seeds and processed fruit and vegetable products. The samples were obtained from national grocery stores, small local grocery stores and drugstores. The samples were analyzed for pesticide residues and metals. A total of 2530 analytical tests were performed which corresponds to more than 223 750 results.All 821 samples were analyzed for metals using an analytical method capable of detecting 18 different metals – aluminium, antimony, arsenic, beryllium, boron, cadmium, chromium, copper, iron, mercury, manganese, molybdenum, nickel, lead, selenium, tin, titanium, and zinc.Of the 803 samples tested for pesticide residues, 643 (80.1%) contained no detected pesticide residues. The remaining 160 samples (19.9%) had detected levels of pesticide residues, with 57 (7.1%) containing more than one specific analyte. Of the 160 samples with detected pesticide residues, 11 (1.4% of all samples) contained pesticide residue levels in excess of established MRLs or the 0.1 ppm General Maximum Residue Limit (GMRL) and were therefore in violation of paragraph 4(d) of the Food and Drugs Act (FDA). The violative products are unlikely to pose a significant risk to the health of children. The majority of the pesticide residue results (98.6 %) were in compliance with Canadian MRLs. Heavy metals that may pose the greatest inherent risk to human health at low levels include arsenic, cadmium, mercury and lead. The levels of most metals detected in this study were below established MRLs and tolerances. Consistent with previous year's results, higher arsenic levels were found in several rice-based and seafood products. All of the metals detected were within the range of typical background concentrations observed in similar foods.​

Datasets available for download

Additional Info

Field Value
Last Updated October 20, 2025, 02:27 (UTC)
Created October 20, 2025, 02:27 (UTC)
Domain / Topic
Domain or topic of the dataset being cataloged.
Title
Title for the Dataset.
Children's Food Project 2009-2010
Description
A description of the dataset.

​In the 2009 – 2010 CFP, a total of 821 processed and manufactured food samples were purchased in the Ottawa – Gatineau area. Samples included a variety of candy, cereals, chocolate, dairy products, juice, meat products, nuts and seeds and processed fruit and vegetable products. The samples were obtained from national grocery stores, small local grocery stores and drugstores. The samples were analyzed for pesticide residues and metals. A total of 2530 analytical tests were performed which corresponds to more than 223 750 results.All 821 samples were analyzed for metals using an analytical method capable of detecting 18 different metals – aluminium, antimony, arsenic, beryllium, boron, cadmium, chromium, copper, iron, mercury, manganese, molybdenum, nickel, lead, selenium, tin, titanium, and zinc.Of the 803 samples tested for pesticide residues, 643 (80.1%) contained no detected pesticide residues. The remaining 160 samples (19.9%) had detected levels of pesticide residues, with 57 (7.1%) containing more than one specific analyte. Of the 160 samples with detected pesticide residues, 11 (1.4% of all samples) contained pesticide residue levels in excess of established MRLs or the 0.1 ppm General Maximum Residue Limit (GMRL) and were therefore in violation of paragraph 4(d) of the Food and Drugs Act (FDA). The violative products are unlikely to pose a significant risk to the health of children. The majority of the pesticide residue results (98.6 %) were in compliance with Canadian MRLs. Heavy metals that may pose the greatest inherent risk to human health at low levels include arsenic, cadmium, mercury and lead. The levels of most metals detected in this study were below established MRLs and tolerances. Consistent with previous year's results, higher arsenic levels were found in several rice-based and seafood products. All of the metals detected were within the range of typical background concentrations observed in similar foods.​
Tags / Keywords
Keywords/tags categorizing the dataset.
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.
2025-08-15
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).
License
License used to access the dataset.
Open Government Licence - Canada
Limits on use
Limits on use of data.
Location
Location of the dataset.
https://open.canada.ca/data/en/dataset/ef8b2e08-bfc7-4dad-a72e-793178a55a22
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?
Contact Point Email
The email to contact regarding access?
Publisher
Publisher of the dataset.
Publisher Email
Email of the publisher.
cfia.opendatapublishing-publicationdedonneesouvertes.acia@inspection.gc.ca
Author
Author of the dataset.
Author Email
Email of the author.
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?
Portal Type
Platform type of the source portal.
Field Value
Version
Version of the datatset
None
Source
Source of the dataset.
None
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.