Menu
0
Total price
0 €
PRICES include / exclude VAT
Homepage>BS EN 16924:2017 Foodstuffs. Determination of zearalenone in edible vegetable oils by LC-FLD or LC-MS/MS
sklademVydáno: 2017-06-21
BS EN 16924:2017 Foodstuffs. Determination of zearalenone in edible vegetable oils by LC-FLD or LC-MS/MS

BS EN 16924:2017

Foodstuffs. Determination of zearalenone in edible vegetable oils by LC-FLD or LC-MS/MS

Format
Availability
Price and currency
Anglicky Secure PDF
Immediate download
290.53 €
You can read the standard for 1 hour. More information in the category: E-reading
Reading the standard
for 1 hour
29.05 €
You can read the standard for 24 hours. More information in the category: E-reading
Reading the standard
for 24 hours
87.16 €
Anglicky Hardcopy
In stock
290.53 €
Označení normy:BS EN 16924:2017
Počet stran:34
Vydáno:2017-06-21
ISBN:978 0 580 90470 7
Status:Standard
DESCRIPTION

BS EN 16924:2017


This standard BS EN 16924:2017 Foodstuffs. Determination of zearalenone in edible vegetable oils by LC-FLD or LC-MS/MS is classified in these ICS categories:
  • 67.200.10 Animal and vegetable fats and oils
This European Standard describes a procedure for the determination of the zearalenone content in edible vegetable oils specifically maize germ oil by either of the following techniques: High performance liquid chromatography with fluorescence detection (LC-FLD) or high performance liquid chromatography with tandem mass spectrometry (LC-MS/MS) after basic extraction of the diluted oil. The method has been validated for zearalenone in naturally contaminated maize germ oil at levels of 61,2 µg/kg to 515 µg/kg [5]. Laboratory experiences [6] have shown that this method is also applicable to other vegetable oils such as wheat germ oil (n = 4), sunflower oil (n = 5), pumpkin seed oil (n = 1), soybean oil (n = 5), hemp seed oil (n = 5), rape seed oil (n = 11), and mixed oils including maize germ oil (n = 3). However occasionally, samples can result in interferences in the FLD-chromatograms. In this case, the detection with MS/MS is recommended.