Designed genotoxicity profiling detects genotoxic compounds in staple food such as healthy oils

Morlock, Gertrud E.; Meyer, Daniel W.

doi:10.1016/j.foodchem.2022.135253

Cited by 12 publications

(12 citation statements)

References 18 publications

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“…C18:1, C18:2, and C18:3, were prone to impurities and oxidative degradation. 39 Lipolytic activity of pancreatic enzymes hydrolysed TAGs from milk protein and vegetable oils to their respective free fatty acids. Capric (C10:0) and lauric acid (C12:0) were cleavage products from animal fats, 28 while myristic (C14:0), palmitic (C16:0), stearic (C18:0), oleic (C18:1), linoleic (C18:2), and linolenic acids (C18:3) resulted rather from sunflower and rapeseed oil.…”

Section: Resultsmentioning

confidence: 99%

Ten-dimensional hyphenation including simulated static gastro-intestinal digestion on the adsorbent surface, planar assays, and bioactivity evaluation for meal replacement products

2023

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Section: Resultsmentioning

confidence: 99%

Ten-dimensional hyphenation including simulated static gastro-intestinal digestion on the adsorbent surface, planar assays, and bioactivity evaluation for meal replacement products

2023

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“…Although we studied several extractants, other extraction solvents could be tested to ensure that all extractable estrogens are considered or to increase the range of extractable estrogenic compounds. As mentioned, effect differentiation is the key [40], which was recently discovered for genotoxic compounds found in plant-based oils used and recommended in healthy diets. We will never make progress in understanding when the sum values are wrong in case of complex samples.…”

Section: (Xeno)estrogenic Pesticide Residues In Food Samplesmentioning

confidence: 99%

Non-target estrogenic screening of 60 pesticides, six plant protection products, and tomato, grape, and wine samples by planar chromatography combined with the planar yeast estrogen screen bioassay

2023

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For non-target residue analysis of xenoestrogens in food, sophisticated chromatographic–mass spectrometric techniques lack in biological effect detection. Various in vitro assays providing sum values encounter problems when opposing signals are present in a complex sample. Due to physicochemical signal reduction, cytotoxic or antagonistic effect responses, the resulting sum value is falsified. Instead, the demonstrated non-target estrogenic screening with an integrated planar chromatographic separation differentiated opposing signals, detected and prioritized important estrogenic compounds, and directly assigned tentatively the responsible compounds. Sixty pesticides were investigated, ten of which showed estrogenic effects. Exemplarily, half-maximal effective concentrations and 17β-estradiol equivalents were determined. Estrogenic pesticide responses were confirmed in six tested plant protection products. In food, such as tomato, grape, and wine, several compounds with an estrogenic effect were detected. It showed that rinsing with water was not sufficient to remove selected residues and illustrated that, though not usually performed for tomatoes, peeling would be more appropriate. Though not in the focus, reaction or breakdown products that are estrogenic were detected, underlining the great potential of non-target planar chromatographic bioassay screening for food safety and food control. Graphical Abstract

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“…Replacing SFA-rich fats with PUFA-rich oils showed a lower risk of cardiovascular disease but no effect on adiposity ( 7 ), as mentioned earlier. Therefore, a deeper knowledge of the FA composition of food and its impact is of the utmost interest since the biological activity of FAs may influence not only cell and tissue metabolism and signaling pathways ( 8 ) but also our microbiome ( 9 ) and health ( 10 ). To achieve a low-fat diet, foods of plant origin are preferred to those of animal origin ( 1 ).…”

Section: Introductionmentioning

confidence: 99%

Bioactive profiles of edible vegetable oils determined using 10D hyphenated comprehensive high-performance thin-layer chromatography (HPTLC×HPTLC) with on-surface metabolism (nanoGIT) and planar bioassays

Müller,

Gulde,

Morlock

2023

Front. Nutr.

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IntroductionVegetable oils rich in unsaturated fatty acids are assumed to be safe and even healthy for consumers though lipid compositions of foods vary naturally and are complex considering the wealth of minor compounds down to the trace level.MethodsThe developed comprehensive high-performance thin-layer chromatography (HPTLC×HPTLC) method including the on-surface metabolization (nanoGIT) and bioassay detection combined all steps on the same planar surface. The pancreatic lipolysis (intestinal phase) experiment and the subsequent analysis of the fatty acid composition including its effect-directed detection using a planar bioassay was performed without elaborate sample preparation or fractionation to ensure sample integrity. Thus, no sample part was lost, and the whole sample was studied on a single surface regarding all aspects. This made the methodology as well as technology miniaturized, lean, all-in-one, and very sustainable.Results and discussionTo prioritize important active compounds including their metabolism products in the complex oil samples, the nanoGIT method was used to examine the pancreatic lipolysis of nine different vegetable oils commonly used in the kitchen and food industry, e.g., canola oil, flaxseed oil, hemp oil, walnut oil, soybean oil, sunflower oil, olive oil, coconut oil, and palm oil. The digested oils revealed antibacterial and genotoxic effects, which were assigned to fatty acids and oxidized species via high-resolution tandem mass spectrometry (HRMS/MS). This finding reinforces the importance of adding powerful techniques to current analytical tools. The 10D hyphenated nanoGIT-HPTLC×HPTLC-Vis/FLD-bioassay-heart cut-RP-HPLC-DAD-HESI-HRMS/MS has the potential to detect any potential hazard due to digestion/metabolism, improving food safety and understanding on the impact of complex samples.

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Designed genotoxicity profiling detects genotoxic compounds in staple food such as healthy oils

Cited by 12 publications

References 18 publications

Ten-dimensional hyphenation including simulated static gastro-intestinal digestion on the adsorbent surface, planar assays, and bioactivity evaluation for meal replacement products

Ten-dimensional hyphenation including simulated static gastro-intestinal digestion on the adsorbent surface, planar assays, and bioactivity evaluation for meal replacement products

Non-target estrogenic screening of 60 pesticides, six plant protection products, and tomato, grape, and wine samples by planar chromatography combined with the planar yeast estrogen screen bioassay

Bioactive profiles of edible vegetable oils determined using 10D hyphenated comprehensive high-performance thin-layer chromatography (HPTLC×HPTLC) with on-surface metabolism (nanoGIT) and planar bioassays

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