Evidence map›Paper›PMID 39803289›Full record

ArticleFood science & nutrition2025

Volatile Profile of Bee Pollens: Optimization of Sampling Conditions for Aroma Analysis, Identification of Potential Floral Markers, and Establishment of the Flavor Wheel.

Mariann Csóka, Rita Végh, László Sipos

Abstract read
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Article in Food science & nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Mariann CsókaDepartment of Nutrition Science, Institute of Food Science and Technology Hungarian University of Agriculture and Life Sciences Budapest Hungary.ORCID https://orcid.org/0000-0002-6538-2316
Rita VéghDepartment of Nutrition Science, Institute of Food Science and Technology Hungarian University of Agriculture and Life Sciences Budapest Hungary.
László SiposDepartment of Postharvest, Supply Chain, Commerce and Sensory Science, Institute of Food Science and Technology Hungarian University of Agriculture and Life Sciences Budapest Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The volatile profile of bee pollen samples from Central and Eastern Europe was investigated by headspace solid phase microextraction (HS-SPME) combined with gas chromatography-mass spectrometry-olfactometry (GC-MS-O). Sampling conditions were optimized for the extraction of volatiles. Pollen odorants were extracted with six different fiber coatings, five various extraction times, three diverse extraction temperatures and three differing desorption times. The most effective combination was the application of divinylbenzene/carboxen/polydimethylsiloxane (DVB/CAR/PDMS) fiber coating used at 60°C for 30 min for extraction and 1 min for desorption. The optimized method was applied to investigate the volatile profile of 14 pollen samples (three rapeseed, musk thistle, rock-rose, traveler's joy, dropwort, honey locust, sunflower, red poppy, phacelia, sweet cherry, wild blackberry, and dandelion). The volatile profiles of bee pollens were different and were crucially depended on botanical origin. The aroma activity of the samples was generated by 31.0%-48.3% of total volatiles. The number of the identified odorants were between 75 and 101 in the pollen samples by GC-MS, of which 26-42 were aroma-active. The volatile organic compounds (VOCs) were classified into 13 different chemical classes. In most pollen, fatty acids were the predominant volatiles (14.87%-50.58%), while in some samples esters were the most abundant odorants (4.09%-45.46%). Panelists confirmed the presence of six main sensory characteristics described as "green/sour", "fruity", "spicy/herbal", "earthy/mushroom", "sweet/baked/caramel/honey", and "floral" compounds. These results establish the flavor wheel suitable for the comprehensive sensory description of pollen pellets from individual plant species. All samples contained characteristic odorants that may help in their botanical identification.

Indexed as

aroma activityfingerprintingheadspace–solid phase microextractionolfactometrypollen odorantsvolatile profile

Identifiers

PMID39803289
PMCPMC11717009

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