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Nontargeted screening (NTS) utilizing liquid chromatography electrospray ionization high-resolution mass spectrometry (LC/ESI/HRMS) is increasingly used to identify environmental contaminants. Major differences in the ionization efficiency of compounds in ESI/HRMS result in widely varying responses and complicate quantitative analysis. Despite an increasing number of methods for quantification without authentic standards in NTS, the approaches are evaluated on limited and diverse data sets with varying chemical coverage collected on different instruments, complicating an unbiased comparison. In this interlaboratory comparison, organized by the NORMAN Network, we evaluated the accuracy and performance variability of five quantification approaches across 41 NTS methods from 37 laboratories. Three approaches are based on surrogate standard quantification (parent-transformation product, structurally similar or close eluting) and two on predicted ionization efficiencies (RandFor- IE and MLR- IE). Shortly, HPLC grade water, tap water, and surface water spiked with 45 compounds at 2 concentration levels were analyzed together with 41 calibrants at 6 known concentrations by the laboratories using in-house NTS workflows. The accuracy of the approaches was evaluated by comparing the estimated and spiked concentrations across quantification approaches, instrumentation, and laboratories. The RandFor- IE approach performed best with a reported mean prediction error of 15× and over 83% of compounds quantified within 10× error. Despite different instrumentation and workflows, the performance was stable across laboratories and did not depend on the complexity of water matrices.

A collaborative trial involving 16 participants from nine European countries was conducted within the NORMAN network in efforts to harmonise suspect and non-target screening of environmental contaminants in whole fish samples of bream (Abramis brama). Participants were provided with freeze-dried, homogenised fish samples from a contaminated and a reference site, extracts (spiked and non-spiked) and reference sample preparation protocols for liquid chromatography (LC) and gas chromatography (GC) coupled to high resolution mass spectrometry (HRMS). Participants extracted fish samples using their in-house sample preparation method and/or the protocol provided. Participants correctly identified 9-69 % of spiked compounds using LC-HRMS and 20-60 % of spiked compounds using GC-HRMS. From the contaminated site, suspect screening with participants' own suspect lists led to putative identification of on average ∼145 and ∼20 unique features per participant using LC-HRMS and GC-HRMS, respectively, while non-target screening identified on average ∼42 and ∼56 unique features per participant using LC-HRMS and GC-HRMS, respectively. Within the same sub-group of sample preparation method, only a few features were identified by at least two participants in suspect screening (16 features using LC-HRMS, 0 features using GC-HRMS) and non-target screening (0 features using LC-HRMS, 2 features using GC-HRMS). The compounds identified had log octanol/water partition coefficient (KOW) values from -9.9 to 16 and mass-to-charge ratios (m/z) of 68 to 761 (LC-HRMS and GC-HRMS). A significant linear trend was found between log KOW and m/z for the GC-HRMS data. Overall, these findings indicate that differences in screening results are mainly due to the data analysis workflows used by different participants. Further work is needed to harmonise the results obtained when applying suspect and non-target screening approaches to environmental biota samples.

A collaborative trial involving 16 participants from nine European countries was conducted within the NORMAN network in efforts to harmonise suspect and non-target screening of environmental contaminants in whole fish samples of bream (Abramis brama). Participants were provided with freeze-dried, homogenised fish samples from a contaminated and a reference site, extracts (spiked and non-spiked) and reference sample preparation protocols for liquid chromatography (LC) and gas chromatography (GC) coupled to high resolution mass spectrometry (HRMS). Participants extracted fish samples using their in-house sample preparation method and/or the protocol provided. Participants correctly identified 9–69 % of spiked compounds using LC-HRMS and 20–60 % of spiked compounds using GC-HRMS. From the contaminated site, suspect screening with participants’ own suspect lists led to putative identification of on average ~145 and ~20 unique features per participant using LC-HRMS and GC-HRMS, respectively, while non-target screening identified on average ~42 and ~56 unique features per participant using LC-HRMS and GC-HRMS, respectively. Within the same sub-group of sample preparation method, only a few features were identified by at least two participants in suspect screening (16 features using LC-HRMS, 0 features using GC-HRMS) and non-target screening (0 features using LC-HRMS, 2 features using GC-HRMS). The compounds identified had log octanol/water partition coefficient (KOW) values from − 9.9 to 16 and mass-to-charge ratios (m/z) of 68 to 761 (LC-HRMS and GC-HRMS). A significant linear trend was found between log KOW and m/z for the GC-HRMS data. Overall, these findings indicate that differences in screening results are mainly due to the data analysis workflows used by different participants. Further work is needed to harmonise the results obtained when applying suspect and non-target screening approaches to environmental biota samples.

Zinc (Zn) deficiency is a global problem with adverse effects on human health. A monotonous diet consisting mainly of cereals with a low concentration and bioavailability of Zn is one of the main reasons for the existence of Zn deficiency. Agronomic practices, like the use of Nitrogen (N) fertilization can improve Zn concentration in wheat grains. In this project, the effect of N fertilization on Zn and iron (Fe) concentration and speciation in different fractions of the mature wheat grain was investigated. Wheat plants received different levels of N fertilization and wheat grains, endosperm, embryo and bran fractions were analysed for total Zn, Fe, phosphorus (P) and sulphur (S) concentrations with ICP-MS. Sulphur and P were measured as proxies for protein and phytate respectively. The grain fractions were extracted with ammonium acetate and speciation analysis of the soluble fractions was performed with SEC-ICP-MS. To characterize the insoluble fraction and elucidate whether Zn is mainly associated with phytate or protein, endosperm and bran were digested with phytase and protease. To gain insight in the bioaccessibility of Zn and Fe in bread, an in vitro digestive system was established and used to digest different bread types. Nitrogen fertilization increased Zn concentration in all three grain fractions, whereas Fe concentration only increased in the bran. For Zn, increases of 25% were seen in the endosperm and bran, but in the embryo it was only 6%. A similar pattern was seen for the increase in S concentration, which suggests that the increase in Zn is related to an increase in S-containing proteins. The solubility of Zn and Fe was generally much higher in the endosperm compared to the bran, but in both fractions, it decreased with increasing N levels. Digestion with protease increased the amount of soluble Zn in the endosperm, and in the bran solubility of both Zn and Fe increased. This indicates that in the endosperm, Zn is associated with insoluble pro

A method for quantification of a pharmaceutical peptide in human plasma was developed using gradient elution LC-ICP-MS. A membrane desolvation (MD) system was applied to remove organic solvents from the eluent prior to the detection as SO+ in the dynamic reaction cell (DRC) of the ICP-DRC-MS instrument and subsequent quantification by post-column isotope dilution (IDA). Plasma proteins were precipitated prior to analysis. Analytical figures of merit including linearity, precision, LOD, LOQ and accuracy were considered satisfactory for analysis of plasma samples. The selectivity of the developed method was demonstrated for five pharmaceutically relevant peptides: desmopressin, penetratin, substance P, PTH (1-34) and insulin. Preliminary experiments on an ICP-MS/MS system using oxygen to reduce the effect of organic solvents were also performed to compare sensitivity. The results of the study demonstrated that LC-ICP-MS post-column IDA may constitute a valuable additional tool in quantification of non-labelled peptides in the early drug development offering absolute quantification without need of species specific standards.