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Collection and Identification of Pollen from Honey Bee Colonies
Published on: January 19, 2021
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Pyrrolizidine alkaloids in bee pollen identified by LC-MS/MS analysis and colour parameters using multivariate class
Luciana De Jesus Inacio1, Roberta Merlanti1, Lorena Lucatello1
1Department of Comparative Biomedicine and Food Science, University of Padova, 35020, Legnaro, PD, Italy.
Heliyon
|April 8, 2020
Summary
Bee pollen can contain toxic pyrrolizidine alkaloids (PAs) and their N-oxides (PANOs). Instrumental color analysis, specifically lightness and yellowness, can effectively screen for these contaminants before confirmatory testing.
Area of Science:
- Food Chemistry
- Analytical Chemistry
- Food Safety
Background:
- Pyrrolizidine alkaloids (PAs) and their N-oxides (PANOs) are toxic compounds found in various plants.
- Bees can collect pollen from these plants, potentially contaminating bee pollen with PAs/PANOs.
- Monitoring PA/PANO levels in bee pollen is crucial for ensuring food safety and quality.
Purpose of the Study:
- To develop and validate a method for monitoring PAs/PANOs in bee pollen.
- To investigate the correlation between bee pollen color and PA/PANO content.
- To evaluate the potential of instrumental color analysis as a screening tool for PAs/PANOs in bee pollen.
Main Methods:
- A liquid chromatography-mass spectrometry (LC-MS/MS) method was developed and validated for quantifying 17 PAs/PANOs.
- CIE-L*a*b* color coordinates were measured in bee pollen samples.
- Receiver operating characteristic (ROC) analysis and supervised canonical discriminant analysis were employed.
Main Results:
- Lightness (L*) and yellowness (b*) of ground bee pollen were significantly correlated with PA/PANO content.
- Specific L* and b* cut-offs predicted a higher risk of detecting PAs/PANOs above 84 μg kg⁻¹.
- Supervised models successfully distinguished between pollen with and without PAs/PANOs.
Conclusions:
- Instrumental color measurements, particularly lightness and yellowness, show promise for screening bee pollen for PAs/PANOs.
- Color analysis coupled with supervised models can serve as a rapid, cost-effective preliminary test.
- This approach can help prioritize samples for confirmatory LC-MS/MS analysis, improving efficiency in food safety monitoring.
Keywords:
Analytical chemistryBee pollenCIE-L∗a∗b∗ colour coordinatesCanonical discriminant analysisFood safetyFood scienceLC-MS/MSPublic healthPyrrolizidine alkaloidsReceiver operating characteristicToxicology
