Interlaboratory and Interplatform Study of Steroids Collision Cross Section by Traveling Wave Ion Mobility Spectrometry.

Collision cross section (CCS) databases based on single-laboratory measurements must be cross-validated to extend their use in peak annotation. This work addresses the validation of the first comprehensive TWCCSN2 database for steroids. First, its long-term robustness was evaluated (i.e., a year and a half after database generation; Synapt G2-S instrument; bias within ±1.0% for 157 ions, 95.7% of the total ions). It was further cross-validated by three external laboratories, including two different TWIMS platforms (i.e., Synapt G2-Si and two Vion IMS QToF; bias within the threshold of ±2.0% for 98.8, 79.9, and 94.0% of the total ions detected by each instrument, respectively). Finally, a cross-laboratory TWCCSN2 database was built for 87 steroids (142 ions). The cross-laboratory database consists of average TWCCSN2 values obtained by the four TWIMS instruments in triplicate measurements. In general, lower deviations were observed between TWCCSN2 measurements and reference values when the cross-laboratory database was applied as a reference instead of the single-laboratory database. Relative standard deviations below 1.5% were observed for interlaboratory measurements (<1.0% for 85.2% of ions) and bias between average values and TWCCSN2 measurements was within the range of ±1.5% for 96.8% of all cases. In the context of this interlaboratory study, this threshold was also suitable for TWCCSN2 measurements of steroid metabolites in calf urine. Greater deviations were observed for steroid sulfates in complex urine samples of adult bovines, showing a slight matrix effect. The implementation of a scoring system for the application of the CCS descriptor in peak annotation is also discussed.

Improving Target and Suspect Screening High-Resolution Mass Spectrometry Workflows in Environmental Analysis by Ion Mobility Separation.

Currently, the most powerful approach to monitor organic micropollutants (OMPs) in environmental samples is the combination of target, suspect, and nontarget screening strategies using high-resolution mass spectrometry (HRMS). However, the high complexity of sample matrices and the huge number of OMPs potentially present in samples at low concentrations pose an analytical challenge. Ion mobility separation (IMS) combined with HRMS instruments (IMS-HRMS) introduces an additional analytical dimension, providing extra information, which facilitates the identification of OMPs. The collision cross-section (CCS) value provided by IMS is unaffected by the matrix or chromatographic separation. Consequently, the creation of CCS databases and the inclusion of ion mobility within identification criteria are of high interest for an enhanced and robust screening strategy. In this work, a CCS library for IMS-HRMS, which is online and freely available, was developed for 556 OMPs in both positive and negative ionization modes using electrospray ionization. The inclusion of ion mobility data in widely adopted confidence levels for identification in environmental reporting is discussed. Illustrative examples of OMPs found in environmental samples are presented to highlight the potential of IMS-HRMS and to demonstrate the additional value of CCS data in various screening strategies.

Ion-Mobility Quadrupole Time-of-Flight Mass Spectrometry: A Novel Technique Applied to Migration of Nonintentionally Added Substances from Polyethylene Films Intended for Use as Food Packaging.

Nontarget analysis of nonvolatile substances in complex samples is a very challenging task that requires powerful analytical techniques and experience of analyzing such samples. An extensive study was conducted in order to identify nonintentionally added substances (NIAS) migrating from 18 polyethylene (PE) samples intended to be in contact with food. The migration assays were performed in five simulants and analyzed by ultrahigh-performance liquid chromatography (UPLC) coupled to an ion-mobility separation (IMS) quadrupole-time-of-flight (QTOF) mass spectrometer. This experimental setup provides a novel and powerful tool for this type of nonvolatile and nontargeted analysis. Thirty-five compounds were identified, 17 of which were NIAS. Methyl and ethyl 3-(3,5-di-tert-butyl-4-hydroxyphenyl) propanoate were found to be degradation products of either Irganox 1010 or Irganox 1076. Additionally, breakdown products including hexa-heptadecanamide, N,N'-1,2-ethanediylbis- and 11-eicosenamide were identified together with impurity reaction products, e.g., dibutyl amine or compounds of unknown origin like phosphine oxide, tributyl-. Forty-five percent of the detected compounds are in the positive list contained in Regulation 10/2011/EU, and their migration values were below their specific migration limits. The risk assessment for the rest of the compounds was carried out by comparing their migration values to the maximum concentration recommended by Cramer, e.g., ethyl 3-(3,5-di-tert-butyl-4-hydroxyphenyl) propanoate and benzenepropanoic acid, 3,5-bis(1,1-dimethylethyl)-4-hydroxy-, 1,1'-[2,2-bis(hydroxymethyl)-1,3-propanediyl] ester (both class II toxicity), heptadecanamide, N,N'-1,2-ethanediylbis-, and phosphine oxide, tributyl- (both class III toxicity) were above the maximum concentration values for three samples that were migrated to ethanol 95%, and therefore, these samples are not suitable for food contact. The analytical tools and procedures used in this study are presented and discussed in detail.

1-Methoxy-3-indolylmethyl DNA adducts in six tissues, and blood protein adducts, in mice under pak choi diet: time course and persistence.

We previously showed that purified 1-methoxy-3-indolylmethyl (1-MIM) glucosinolate, a secondary plant metabolite in Brassica species, is mutagenic in various in vitro systems and forms DNA and protein adducts in mouse models. In the present study, we administered 1-MIM glucosinolate in a natural matrix to mice, by feeding a diet containing pak choi powder and extract. Groups of animals were killed after 1, 2, 4 and 8 days of pak choi diet, directly or, in the case of the 8-day treatment, after 0, 8 and 16 days of recovery with pak choi-free diet. DNA adducts [N2-(1-MIM)-dG, N6-(1-MIM)-dA] in six tissues, as well as protein adducts [τN-(1-MIM)-His] in serum albumin (SA) and hemoglobin (Hb) were determined using UPLC-MS/MS with isotopically labeled internal standards. None of the samples from the 12 control animals under standard diet contained any 1-MIM adducts. All groups receiving pak choi diet showed DNA adducts in all six tissues (exception: lung of mice treated for a single day) as well as SA and Hb adducts. During the feeding period, all adduct levels continuously increased until day 8 (in the jejunum until day 4). During the 14-day recovery period, N2-(1-MIM)-dG in liver, kidney, lung, jejunum, cecum and colon decreased to 52, 41, 59, 11, 7 and 2%, respectively, of the peak level. The time course of N6-(1-MIM)-dA was similar. Immunohistochemical analyses indicated that cell turnover is a major mechanism of DNA adduct elimination in the intestine. In the same recovery period, protein adducts decreased more rapidly in SA than in Hb, to 0.7 and 37%, respectively, of the peak level, consistent with the differential turnover of these proteins. In conclusion, the pak choi diet lead to the formation of high levels of adducts in mice. Cell and protein turnover was a major mechanism of adduct elimination, at least in gut and blood.

Identification and quantification of protein adducts formed by metabolites of 1-methoxy-3-indolylmethyl glucosinolate in vitro and in mouse models.

1-Methoxy-3-indolylmethyl (1-MIM) glucosinolate (GLS) occurring in cabbage, broccoli, and other cruciferous plants is a potent mutagen requiring metabolic activation by myrosinase present in plant cells and intestinal bacteria. We previously reported that 1-MIM-GLS and its alcoholic breakdown product 1-MIM-OH, which requires additional activation by sulfotransferases, form DNA adducts in mice. In the present study, the formation of protein adducts was investigated. First, two major adducts obtained after incubation of individual amino acids, serum albumin, or hemoglobin with 1-MIM-GLS in the presence of myrosinase were identified as τN-(1-MIM)-His and πN-(1-MIM)-His using MS and NMR spectroscopy. After the development of a specific detection method using isotope-dilution UPLC-ESI-MS/MS, adduct formation was confirmed in mice after oral treatment with 1-MIM-GLS. Adduct levels were highest in the cecum and colon, somewhat lower in serum albumin and the liver, and also readily detectable in the lung and hemoglobin. On the contrary, oral treatment with 1-MIM-OH produced the highest adduct levels in the liver. The higher ratio of albumin to hemoglobin adducts in 1-MIM-OH- compared to 1-MIM-GLS-treated animals (8.1 versus 3.5) suggests that in 1-MIM-OH-treated animals albumin adducts were produced mostly in the liver, the site of albumin synthesis. The formation of adducts was approximately linear over a range of single oral doses from 20 to 600 µmol/kg body mass. Repeated oral administration of 1-MIM-OH (up to 40 treatments, thrice per week) led to continuous accumulation of hemoglobin adducts, whereas the level of serum albumin adducts remained rather constant, which reflects the different turnover rates of these proteins (t1/2 nearly 1.9 d for serum albumin and 25 d for hemoglobin in the mouse). Accumulation of adducts was also noticed in the lung. Adduct levels were higher, but their accumulation was weaker in the liver and kidney. The method developed will be useful to assess the exposure of humans to reactive metabolites formed from 1-MIM-GLS present in many foods.

Mutagenicity of 5-hydroxymethylfurfural in V79 cells expressing human SULT1A1: identification and mass spectrometric quantification of DNA adducts formed.

5-Hydroxymethylfurfural (HMF), a heterocyclic product of the Maillard reaction, is a ubiquitous food contaminant. It has demonstrated hepatocarcinogenic activity in female mice. This effect may originate from sulfo conjugation of the benzylic alcohol yielding 5-sulfooxymethylfurfural (SMF), which is prone to react with DNA via nucleophilic substitution. Indeed, we showed that HMF induces gene mutations in Chinese hamster V79 cells engineered for the expression of human (h) sulfotransferase (SULT)1A1 but not in parental V79 cells. In order to identify potential DNA adducts, we incubated DNA samples with SMF or HMF in aqueous solution. Modified DNA was digested and surveyed by liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) for adducts that may be formed by nucleosides either via nucleophilic substitution at the electrophilic carbon atom of SMF or via imine formation with the aldehyde group present in HMF and SMF. The most abundant adducts formed from SMF, N(6)-((2-formylfuran-5-yl)methyl)-2'-deoxyadenosine (N(6)-FFM-dAdo) and N(2)-((2-formylfuran-5-yl)methyl)-2'-deoxyguanosine (N(2)-FFM-dGuo), were synthesized, purified, and characterized by (1)H NMR. Imine adducts were only detected when DNA was incubated with very high levels of HMF following reduction of the imines to corresponding secondary amines by NaBH(3)CN. Sensitive techniques based on LC-MS/MS multiple reaction monitoring for the quantification of the adducts in DNA samples were devised using isotope-labeled [(15)N(5)]N(6)-FFM-dAdo and [(13)C(10),(15)N(5)]N(2)-FFM-dGuo as internal standards. Both 5-methylfurfuryl adducts were detected in DNA from V79-hSULT1A1 treated with HMF but not in DNA from V79 control cells. Considering the lack of other known mutagenic metabolites, we hypothesize that the hepatocarcinogenic potential of HMF originates from the formation of mutagenic SMF.

Travelling Wave Ion Mobility-Derived Collision Cross Section for Mycotoxins: Investigating Interlaboratory and Interplatform Reproducibility.

Parent and modified mycotoxin analysis remains a challenge because of their chemical diversity, the presence of isomeric forms, and the lack of analytical standards. The creation and application of a collision cross section (CCS) database for mycotoxins may bring new opportunities to overcome these analytical challenges. However, it is still an open question whether common CCS databases can be used independently from the instrument type and ion mobility mass spectrometry (IM-MS) technologies, which utilize different methodologies for determining the gas-phase mobility. Here, we demonstrated the reproducibility of CCS measurements for mycotoxins in an interlaboratory study (average RSD 0.14% ± 0.079) and across different traveling wave IM-MS (TWIMS) systems commercially available (ΔCCS% < 2). The separation in the drift time dimension of critical pairs of isomers for modified mycotoxins was also achieved. In addition, the comparison of measured and predicted CCS values, including regulated and emerging mycotoxins, was addressed.

Glucosinolates from pak choi and broccoli induce enzymes and inhibit inflammation and colon cancer differently.

High consumption of Brassica vegetables is considered to prevent especially colon carcinogenesis. The content and pattern of glucosinolates (GSLs) can highly vary among different Brassica vegetables and may, thus, affect the outcome of Brassica intervention studies. Therefore, we aimed to feed mice with diets containing plant materials of the Brassica vegetables broccoli and pak choi. Further enrichment of the diets by adding GSL extracts allowed us to analyze the impact of different amounts (GSL-poor versus GSL-rich) and different patterns (broccoli versus pak choi) of GSLs on inflammation and tumor development in a model of inflammation-triggered colon carcinogenesis (AOM/DSS model). Serum albumin adducts were analyzed to confirm the up-take and bioactivation of GSLs after feeding the Brassica diets for four weeks. In agreement with their high glucoraphanin content, broccoli diets induced the formation of sulforaphane-lysine adducts. Levels of 1-methoxyindolyl-3-methyl-histidine adducts derived from neoglucobrassicin were the highest in the GSL-rich pak choi group. In the colon, the GSL-rich broccoli and the GSL-rich pak choi diet up-regulated the expression of different sets of typical Nrf2 target genes like Nqo1, Gstm1, Srxn1, and GPx2. GSL-rich pak choi induced the AhR target gene Cyp1a1 but did not affect Ugt1a1 expression. Both colitis and tumor number were drastically reduced after feeding the GSL-rich pak choi diet while the other three diets had no effect. GSLs can act anti-inflammatory and anti-carcinogenic but both effects depend on the specific amount and pattern of GSLs within a vegetable. Thus, a high Brassica consumption cannot be generally considered to be cancer-preventive.