Transcript Document

Measurement and Quality Control of
Fatty Acid and trans Fats
Determination in Soybeans and
Soybean Oil
Gina M. Clapper
AOCS Technical Services
Low Linolenic Acid Soybeans and trans Fatty Acids
AOAC International Midwest Section Annual Meeting and Exposition
Kansas City, Missouri, USA
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January 1, 2006 all food labels must
contain the trans Fatty Acid content if
level is at or above 0.5g
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graphic from FDA website
Options for the food industry?
Keep existing formulations and label
appropriately
Find alternatives to partially
hydrogenated oils
PH-Soybean oil is most common
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The Importance of the
SQT Initiative
Raising the Bar on Beans
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What is SQT?
A USB/AOCS collaboration
Supports the mission of the checkofffunded Better Bean Initiative (BBI) to
accelerate the development and
availability of soybean seed with
enhanced compositional traits
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Why SQT?
Observations
Commercial testing labs were using different methods than
breeder and seed company laboratories.
• NOPA Certified Laboratories use AOCS Methods and
analyze > 70% of the referee SBM contracted in the US
and use AOCS methods for oilseed analyses
• Oilseed Processors predominantly use AOCS methods
• Equipment Manufacturers, Seed breeders and Seed
Companies generally use internal methods
Inability to identify, verify, and quantify enhanced soybean
traits limits industry growth in this area
Unrealized value and profit from enhanced soybean strains
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Why SQT? (continued)
SQT creates and facilitates
Systems of verification
Reliable analytical results
Opportunity for all stakeholders in the soy
industry to agree
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SQT Mission
To guarantee quality analytical results at all
levels in the soybean industry
To increase confidence in the ability to
identify soybeans with enhanced quality traits
To achieve, maintain, and promote peak
levels of laboratory accuracy through industry
participation in a proficiency program
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Equipment
Manufacturers
SQT
Processors
SQT
Elevators
& Grain
Handlers
Fats and Oil
Professionals
Seed Breeders
Farmers
SQT
Referee/Contract
Laboratories
Seed
Companies
End User
Laboratories
SQT
Key Concept: Verification
Systematic verification of analytical
measurements
Different sectors create potential for
different methodologies
Primary methods will be implemented
throughout soy continuum
First time industry will be standardized
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How do we achieve this?
Analyze samples regularly
Establish industry-wide acceptance of
analytical methods and protocols and
their implementation under
internationally accepted quality
management standards
Determine laboratory performance in
terms of accuracy and bias
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Key Concept: Certification
Certify value-added enhanced soybean
varieties for the food and feed
industries
Identify specific physical traits
Validate analytically the presence of these
traits
Certify the identity of enhanced varieties
throughout the continuum
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Advantages of SQT
Defines standards for quality assurance
Provides quality testing methods
Validates industry infrastructure
Sets expectations for analytical results
Provides traceable standards, reference
material, consensus standards
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Advantages of SQT (continued)
Promotes and markets testing
standards within the industry
Increases consumer confidence with
system of checks and balances
Decreases risk to buyers industry-wide
Realizes added value of American
enhanced soybeans
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Benefits of SQT
Increase the competitiveness of American
soybeans in the global marketplace
Generate a high level of confidence in
enhanced soybean products
Better position U.S. soybeans to meet the
needs of oil and protein end users and
improve the economic value for the U.S.
soybean industry
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SQT Phases
2 Secondary Methods
Primary Methods
1
Identify Participants & Needs 3
SQT Proficiency Program
4
Laboratory Quality Assurance 5
ISO 17025 Certification
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6
Phase One
Identify analysis methods for
Protein content
Oil content
Fatty acid composition analysis
(completed)
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Phase Two
Develop and validate methods of
analysis including the evaluation of
secondary methods
Library of reference samples to be used
for calibrating non-destructive
technologies (NIR currently)
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New methods on the horizon
Amino Acids
Phytate
Isoflavones
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Phase Three
Identify users and their requirements
Seed companies
Referee and private laboratories
End-user laboratories
Elevator and crop handling facilities
Establish a core group of expert
laboratories
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Phase Four
Develop Soybean Quality Traits
Laboratory Program, including use of
proficiency testing and standards
4 samples
6 times/year
Initiated November 2003
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Standards, Methods, and
Proficiency Testing
Members-only secure access to required
methodologies
Secure members-only access to
Online protocols
Secure electronic data reporting forms (can
enter moisture, protein, oil and FA profile,
report tables)
Web- and email-based status, results,
proficiency, and rankings reports
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Phase Five
Implement laboratory quality assurance
Standard methods
Certification
• Proficiency participation
• Results monitoring
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Phase Six
Incorporate SQT methods of analysis
into ISO 17025 certification and quality
audits
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For those who still need to label…
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Evaluation of current testing methods for
Linolenic Acid content in soybeans
GIPSA (KCMO) evaluated AOCS Official
Method Ce 1-62 to determine it was
appropriate for determining low-lin oil
Internal and commercial laboratories
participated in a collaborative study
Preliminary results indicate that Ce 1-62
is reasonably accurate, precise and
rugged
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Collaborative Study Report Analysis
of Fatty Acid Composition
PROJECT: Ce-1h-05
The Analysis of Fatty Acid Methyl Esters
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New Method Study:
AOCS Official Method Ce 1h-05
Standardization of the current
method(AOCS Ce 1f-96):
Internal Standard (C21:0)
Column type (SP-2560 or CP-Sil 88)
Column length (100m)
Carrier gas (Hydrogen or Helium)
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following slides borrowed from
Dawn McCluckie
PARTICIPATION
- Samples to 35 labs worldwide
- 21 responded, 11 were used
TEST MATERIALS
- 5 reference samples with labeled chromatograms
- 10 randomly coded samples
REPORTING
- Run in duplicate
- Results  Area, Area%, TG, and FA
- Labeled chromatograms
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Examples of why some
participants were eliminated:
1 lab  wrong column
1 lab  wrong carrier gas
1 lab  wrong column length
1 lab  only Area % values
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Results- Outliers
ODD OUTLIERS
REGULAR OUTLIERS
Non-reproducible data
i.e. not enough
responses for statistical
analysis, so all reported
values considered
outliers
Analyzable data
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Cochran
Single Grubbs
Double Grubbs
Odd Outlier Example
Sample 2 – margarine oil
C21:0 internal standard
C22:0
C23:0 peak present
C24:0
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Conclusions from this study
 The
peaks are present on the
chromatogram
 The method is good and allows for
peak separation
 Training may be necessary for proper
peak identification
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AOCS Official Method Ce 1h-05
Approved by Uniform Methods Committee at
the AOCS Annual Meeting
Will be available in June with:
Labeled chromatograms and reference samples
Interactive Excel spreadsheet for calculations
Study samples will be released as consensus
reference material
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Training
AOCS will offer hands-on training workshop
for all participants in the collaborative study
and methodology meeting
AOCS will offer training workshops for the
public late summer and into fall to assist
industry’s efforts to comply with FDA labeling
regulations
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Thank you for your attention!
Contact AOCS Technical Services at:
[email protected]
www.aocs.org/tech
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