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About This Item
Empirical Formula (Hill Notation):
C23H31NO4
CAS Number:
Molecular Weight:
385.50
UNSPSC Code:
85151701
NACRES:
NA.24
SMILES string
C[C@@H]1CC[C@H]2C(C)(C)[C@H](O)CC[C@]2(C)[C@@]13Cc4c(O)cc5C(=O)NCc5c4O3
grade
analytical standard
shelf life
limited shelf life, expiry date on the label
technique(s)
HPLC: suitable, gas chromatography (GC): suitable
application(s)
cleaning products
cosmetics
food and beverages
personal care
format
neat
storage temp.
−20°C
Quality Level
General description
Stachybotrylactam is a mycotoxin found in crops, including cereals and oilseeds. Stachybotrylactam is thermally and chemically stable and is known to affect human and animal health by causing acute or chronic intoxications.
Application
Refer to the product′s Certificate of Analysis for more information on a suitable instrument technique. Contact Technical Service for further support.
Stachybotrylactam may be used as an analytical reference standard for the determination of the analyte in rice, maize and peanut products by ultra performance liquid chromatography - tandem mass spectrometry (UHPLC-MS/MS).
Preparation Note
Dried down, 100μg/mL after reconstitution with 1 mL of water
Storage Class
11 - Combustible Solids
wgk
WGK 3
flash_point_f
Not applicable
flash_point_c
Not applicable
Regulatory Information
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Multi-mycotoxin determination in rice, maize and peanut products most consumed in cote d?ivoire by uhplc-ms/ms.
Manizan AL, et al.
Food Control, 87, 22-30 (2018)
Mukhtar Jaderson et al.
Journal of occupational and environmental hygiene, 17(5), 220-230 (2020-04-11)
Fungi are ubiquitous in environments and produce secondary metabolites that are usually low-molecular-weight organic compounds during growth processes. Dust samples containing these fungal secondary metabolites collected from study sites are often stored in certain temperature conditions for an extended period
Mukhtar Jaderson et al.
Safety and health at work, 10(2), 196-204 (2019-07-13)
Liquid chromatography-tandem mass spectrometry (LC-MSMS) for simultaneous analysis of multiple microbial secondary metabolites (MSMs) is potentially subject to interference by matrix components. We examined potential matrix effects (MEs) in analyses of 31 MSMs using ultraperformance LC-MSMS. Twenty-one dust aliquots from three
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