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1.
Food Chem X ; 16: 100458, 2022 Dec 30.
Artículo en Inglés | MEDLINE | ID: mdl-36203952

RESUMEN

This Total Diet Study (TDS) provides representative data on substance levels in foods, prepared as typically consumed by the population in Germany for future dietary exposure assessment. Vitamin A is essential and must be obtained from the diet, either as preformed vitamin A or as provitamin A carotenoids. Levels of retinol and ß-carotene were analysed in 333 and 271 foods, respectively. Highest mean retinol levels were found in cod liver (25,000 µg∙100 g-1), followed by other animal livers, liver-based products, butter, eel and fortified margarine. In contrast, highest mean ß-carotene levels were found in carrots (4,650 µg∙100 g-1), followed by other yellow-orange fruits and vegetables, green leafy vegetables and fortified fruit nectars. Sampling by production type and seasonality revealed differences in retinol and ß-carotene levels in individual foods. This TDS expands the existing data for ß-carotene and vitamin A extensively by providing representative data on most consumed foods.

2.
Anal Chem ; 94(8): 3581-3589, 2022 03 01.
Artículo en Inglés | MEDLINE | ID: mdl-35179876

RESUMEN

Tattooing has become increasingly popular throughout society. Despite the recognized issue of adverse reactions in tattoos, regulations remain challenging with limited data available and a missing positive list. The diverse chemical properties of mostly insoluble inorganic and organic pigments pose an outstanding analytical challenge, which typically requires extensive sample preparation. Here, we present a multimodal bioimaging approach combining micro X-ray fluorescence (µXRF) and laser desorption ionization-mass spectrometry (LDI-MS) to detect the elemental and molecular composition in the same sample. The pigment structures directly absorb the laser energy, eliminating the need for matrix application. A computational data processing workflow clusters spatially resolved LDI-MS scans to merge redundant information into consensus spectra, which are then matched against new open mass spectral libraries of tattoo pigments. When applied to 13 tattoo inks and 68 skin samples from skin biopsies in adverse tattoo reactions, characteristic signal patterns of isotopes, ion adducts, and in-source fragments in LDI-MS1 scans yielded confident compound annotations across various pigment classes. Combined with µXRF, pigment annotations were achieved for all skin samples with 14 unique structures and 2 inorganic pigments, emphasizing the applicability to larger studies. The tattoo-specific spectral libraries and further information are available on the tattoo-analysis.github.io website.


Asunto(s)
Colorantes , Tinta , Piel , Tatuaje , Biopsia , Colorantes/efectos adversos , Colorantes/química , Humanos , Microscopía Fluorescente , Piel/química , Piel/patología , Bibliotecas de Moléculas Pequeñas , Espectrometría de Masa por Láser de Matriz Asistida de Ionización Desorción , Análisis Espectral , Tatuaje/efectos adversos
3.
Anal Chim Acta ; 1055: 56-64, 2019 May 09.
Artículo en Inglés | MEDLINE | ID: mdl-30782370

RESUMEN

In recent years, liquid crystal displays (LCDs) became more and more popular in industrial and consumer electronics applications. Unevenly distributed liquid crystals (LC) and the presence of organic contaminations in the LC layer, for example from the display sealant, can cause display defects and therefore lower the display quality. This work describes the development of a fast and easy screening method for display samples by laser ablation coupled to atmospheric pressure chemical ionization-mass spectrometry (LA-APCI-MS). With this ambient technique, LC components as well as sealant materials, which are one of the main sources for display contaminations, can be detected simultaneously using spatial resolutions down to 100 µm. Minimal sample preparation is needed for this method and exact masses can be acquired by using an Orbitrap mass analyzer. By LA-APCI-MS, nineteen different LCs and five different sealant materials were detected as pure substances as well as on commercially available LCDs. In addition, a principle component analysis (PCA) was used to differentiate between LCs and sealant ions in the complex data matrix.

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