Assessment of exposure to pesticides: residues in 24 h duplicate diets versus their metabolites in 24 h urine using suspect screening and target analysis.

Human biomonitoring can add value to chemical risk assessment by reducing the assumptions regarding consumption rates, residue occurrence, and processing effects and by integrating exposures from different sources (diet, household use, environmental). However, the relationship between exposure and concentration in human matrices is unknown for most pesticides. Therefore, we conducted a pilot study to gain more insight into the qualitative and quantitative relationship between dietary intake of pesticides (external exposure) and urinary excretion (reflecting internal exposure). In this cross-sectional observational study, 35 healthy consumers aged 18-65 years from the region of Wageningen, Netherlands, collected an exact duplicate portion of their diets during 24 h. On the same day, they also collected all their urine. The duplicate diets were analyzed using target screening by GC- and LC-HRMS; each duplicate diet contained at least five, up to 21, pesticide residues. The 24 h urine samples were analyzed using LC-HRMS in a suspect screening workflow. Metabolites were tentatively detected in all 24 h urine samples, ranging from six metabolites corresponding to four pesticides up to 40 metabolites originating from 16 pesticides in a single urine sample. In total, 65 metabolites originating from 28 pesticides were tentatively detected. After prioritization and additional confirmation experiments, 28 metabolites originating from 10 pesticides were identified with confidence level 1 or 2b. Next, quantitative analysis was performed for a selection of pesticides in duplicate diets and their metabolites in 24 h urine to assess quantitative relationships. In the quantitative comparisons between duplicate diet and 24 h urine, it was found that some metabolites were already present in the duplicate diet, which may give an overestimation of exposure to the parent pesticide based on measurement of the metabolites in urine. Additionally, the quantitative comparisons suggest a background exposure through other exposure routes. We conclude that suspect screening of 24 h urine samples can disclose exposure to mixtures of pesticide on the same day in the general population. However, more research is needed to obtain quantitative relationships between dietary intake and exposure.

Urinary pesticide mixture patterns and exposure determinants in the adult population from the Netherlands and Switzerland: Application of a suspect screening approach.

INTRODUCTION: Non-occupational sources of pesticide exposure may include domestic pesticide usage, diet, occupational exposure of household members, and agricultural activities in the residential area. We conducted a study with the ambition to characterize pesticide mixture patterns in a sample of the adult population of the Netherlands and Switzerland, using a suspect screening approach and to identify related exposure determinants. METHODS: A total of 105 and 295 adults participated in the Dutch and Swiss studies, respectively. First morning void urine samples were collected and analyzed in the same laboratory. Harmonized questionnaires about personal characteristics, pesticide-related activities, and diet were administered. Detection rates and co-occurrence patterns were calculated to explore internal pesticide exposure patterns. Censored linear and logistic regression models were constructed to investigate the association between exposure and domestic pesticide usage, consumption of homegrown and organic foods, household members' exposure, and distance to agricultural and forest areas. RESULTS: From the 37 detected biomarkers, 3 (acetamiprid (-CH2), chlorpropham (4-HSA), and flonicamid (-C2HN)) were detected in ≥40% of samples. The most frequent combination of biomarkers (acetamiprid-flonicamid) was detected in 22 (5.5%) samples. Regression models revealed an inverse association between high organic vegetable and fruit consumption and exposure to acetamiprid, chlorpropham, propamocarb (+O), and pyrimethanil (+O + SO3). Within-individual correlations in repeated samples (summer/winter) from the Netherlands were low (≤0.3), and no seasonal differences in average exposures were observed in Switzerland. CONCLUSION: High consumption of organic fruit and vegetables was associated with lower pesticide exposure. In the two countries, detection rates and co-occurrence were typically low, and within-person variability was high. Our study results provide an indication for target biomarkers to include in future studies aimed at quantifying urinary exposure levels in European adult populations.

EXAFS analysis of the pH dependence of the blue-copper site in amicyanin from Thiobacillus versutus.

The room temperature Cu K-edge EXAFS (extended X-ray absorption fine structure) spectrum of reduced and oxidized amicyanin, the blue copper protein from Thiobacillus versutus, was measured at low and high pH. The data interpretation was partly based on independent NMR evidence for the occurrence of a ligand histidine protonation at low pH (pKa = 6.9) in the reduced protein. In the oxidized protein two nitrogen-donors (from two histidines; Cu-N distances 1.95-2.01 A and 1.86-1.89 A) and a sulfur-donor (from a cysteine; Cu-S distance 2.11-2.13 A) were identified and the coordination appears independent of pH. Upon reduction at high pH the Cu-S bond and one of the Cu-N bonds lengthen slightly (from 2.11 to 2.19 A and from 2.01 to 2.18 A, respectively). Upon lowering of the pH one of the N-donors of the Cu in reduced amicyanin disappears from the Cu EXAFS and a second S-donor (from a methionine) becomes visible at 2.41 A from the Cu. The Debye-Waller factors are compatible with a Cu-N vibrational stretch frequency in the range of 150-250 cm-1 and one greater than 285 cm-1, and a Cu-S vibrational stretch frequency of about 150 cm-1 (Cu-Smet; reduced amicyanin at low pH) and one in the range of 230-800 cm-1 (Cu-Scys).

Solution structure of the type 1 blue copper protein amicyanin from Thiobacillus versutus.

A three-dimensional solution structure of amicyanin from Thiobacillus versutus has been determined by distance geometry and restrained molecular dynamics. A total of 984 experimentally derived constraints were used for the final refinement (881 distance constraints and 103 dihedral angle constraints). Stereospecific assignments were made for 17 prochiral beta-methylene protons (33%) and the methyl groups of eight valine residues. Fourteen structures were selected to represent the solution structure. They show an average pairwise backbone root-mean-square deviation of 1.19 A. The overall structure can be described as a beta-sandwich, built up of nine beta-strands. The copper atom is located between three loops on one end of the molecule. Two of these loops contribute the copper ligands. His54 is on the loop between beta-strands 4 and 5. The other three ligands, Cys93, His96 and Met99, are located evenly spaced on the loop between beta-strands 8 and 9. This loop is folded in two consecutive type 1 turns with His96 as the donor and acceptor of the NHi-CO(i-3) hydrogen bonds. The folding is reminiscent of the general cupredoxin fold. Considerably different are the large 21 residue N-terminal extension, that is unique to amicyanin and forms an extra beta-strand (strand 1), and the region between beta-strands 5 and 7. The partly surface-exposed copper ligand His96 is surrounded by a hydrophobic patch consisting of seven residues.

Plant members of the alpha1-->3/4-fucosyltransferase gene family encode an alpha1-->4-fucosyltransferase, potentially involved in Lewis(a) biosynthesis, and two core alpha1-->3-fucosyltransferases.

Three putative alpha1-->3/4-fucosyltransferase (alpha1-->3/4-FucT) genes have been detected in the Arabidopsis thaliana genome. The products of two of these genes have been identified in vivo as core alpha1-->3-FucTs involved in N-glycosylation. An orthologue of the third gene was isolated from a Beta vulgaris cDNA library. The encoded enzyme efficiently fucosylates Galbeta1-->3GlcNAcbeta1-->3Galbeta1-->4Glc. Analysis of the product by 400 MHz (1)H-nuclear magnetic resonance spectroscopy showed that the product is alpha1-->4-fucosylated at the N-acetylglucosamine residue. In vitro, the recombinant B. vulgaris alpha1-->4-FucT acts efficiently only on neutral type 1 chain-based glycan structures. In plants the enzyme is expected to be involved in Lewis(a) formation on N-linked glycans.

Chemical fingerprinting for the evaluation of unintended secondary metabolic changes in transgenic food crops.

A common element in designed guidelines for assessment of the food safety of transgenic crops is centred on a comparative analytical analysis with conventionally bred crop plants, assuming that these products have a long history of safe use (i.e. OECD-principle of substantial equivalence). In this study we examine the utility of an off-line combination of 400 MHz proton (1H)-NMR spectroscopy and liquid chromatography (LC) for the multi-component comparison of low-molecular weight compounds (i.e. chemical fingerprinting) in complex plant matrices. The developed NMR-methodology can contribute to the demonstration of substantial equivalence by its ability to compare possible compositional alterations in a novel food crop with respect to related non-transgenic reference lines. In this respect a hierarchical approach is proposed by comparing the chemical fingerprints of the transgenic crop plant to those of: (1) isogenic parental or closely related lines bred at identical and multiple sites; (2) extended ranges of commercial varieties of that plant; and (3) downstream processing effects. This is of importance to assess the likelihood that some of the statistical differences in a transgenic crop plant may be false positives due to chance alone or arose from natural genetic and/or physiologic variations.

Quantification of inositol phosphates using (31)P nuclear magnetic resonance spectroscopy in animal nutrition.

A (31)P NMR method for quantitative determination of inositol phosphates in simple incubation samples of sodium phytate and Aspergillus niger phytase and in different types of complex samples, such as diets, digesta, and feces, is described. The inositol phosphates in complex samples were extracted with HCl, concentrated, and purified using freeze-drying and filtration and subsequently determined at pH 12.6 in aqueous solution using a (31)P NMR method. The (31)P NMR technique has as its main advantages over the HPLC techniques that it does not necessitate standards that may cause background matrix effects and that the spectra of inositol phosphates and orthophosphate appear in the same run without further sampling errors. The results of inositol hexaphosphate analysis with HPLC can be confirmed by this (31)P NMR method. Contents of inositol tetra-, tri-, di-, and monophosphate in the biological samples appear to be quantitatively not important. The (31)P NMR method can be applied for use in animal nutrition in general and studies of using phytase in diets for farm animals in particular, by measuring the content of inositol phosphates in feed ingredients, complete feeds, ileal contents, and feces of pigs and poultry.

Application of 1D 1H NMR for fast non-targeted screening and compositional analysis of steroid cocktails and veterinary drug formulations administered to livestock.

A fast non-targeted strategy is described for analysis of formulations--meant for administration to live stock--containing growth-promoting agents or veterinary drugs. The use of 1H NMR as a first step universal screening method is applied and used in routine analysis. The implementation of this approach has increased the analysis efficiency considerably. Apart from screening on illegal compounds, 1H NMR information on matrix and thus, indirectly, administration mode, can be present. An ever-growing 1H NMR database is used containing more than 200 reference substances. Based on the 1H NMR screening, decisions for further analysis can be made, such as for instance HPLC fractionation of steroid cocktails and subsequent 1H NMR (and LC-MS) analysis. Examples of unravelling formulations are given in detail including a steroid cocktail containing 15 compounds.

Application of an untargeted metabolomics approach for the identification of compounds that may be responsible for observed differential effects in chickens fed an organic and a conventional diet.

The aim of this study was to apply an untargeted NMR and LC-MS-based metabolomics approach to detect potential differences between an organically and a conventionally produced feed, which caused statistically significant differences in growth, in the response to an immunological challenge and in the gene expression profiles in the small intestine of laying hens. A fractionation procedure was set up to create multiple fractions of the feed, which were subsequently analysed by NMR and UPLC-TOF/MS operating in positive mode. Comparison of the profiles revealed that the most apparent differences came from the isoflavones in the soy as well as a compound with a molecular mass of 441.202 (M + 1)⁺, which was identified as N,N'-diferuloylputrescine (DFP) and came from the corn. Whether the observed differences in effects are due to the higher levels of isoflavones and DFP is unclear, as is the fact whether the observed differences are typical for organic or conventional produced corn and soy. However, this study shows that this metabolomics approach is suitable for detecting potential differences between products, even in levels of compounds that would have been overlooked with a more targeted approach. As such, the method is suitable for a more systematic study on differences between conventionally and organically produced food.

Identification of anabolic steroids and derivatives using bioassay-guided fractionation, UHPLC/TOFMS analysis and accurate mass database searching.

Biological tests can be used to screen samples for large groups of compounds having a particular effect, but it is often difficult to identify a specific compound when a positive effect is observed. The identification of an unknown compound is a challenge for analytical chemistry in environmental analysis, food analysis, as well as in clinical and forensic toxicology. In this study bioassay-guided fractionation, ultra high performance liquid chromatography combined with time-of-flight mass spectrometry (UHPLC/TOFMS) and accurate mass database searching was tested to detect and identify unknown androgens. Herbal mixtures and sport supplements were tested using an androgen bioassay and modifications in sample preparations were carried out in order to activate inactive pro-androgens, androgen esters and conjugated androgens to enable their detection in the bioassay. Two of the four herbal mixtures tested positive and bioassay-guided fractionation followed by UHPLC/TOFMS of positive fractions resulted in the identification of nortestosterone phenylpropionate, testosterone cyclohexanecarboxylate and methyltestosterone. Three of the four sport supplements reacted toxic in the bioassay or gave inconclusive results and were further investigated using UHPLC/TOFMS in combination with data processing software and an accurate mass database having approximately 40,000 entries. This accurate mass database was derived from the PubChem database on the internet and coupled to the TOFMS software. This resulted in the tentative identification of several androgens, including methylboldenone, testosterone and the androgen esters methyltestosterone propionate or testosterone isobutyrate, testosterone buciclate and methylenetestosterone acetate. The study showed that bioassay-guided fractionation in combination with UHPLC/TOFMS analysis is a useful procedure to detect, isolate and identify unknown androgens in suspected samples. As an alternative, the use of data processing software in combination with an accurate mass database and coupled on-line with the TOFMS instrument software enabled the identification of androgens and androgen esters in the chromatogram even without bioassay-guided fractionation.

An untargeted metabolomics approach to contaminant analysis: pinpointing potential unknown compounds.

This study deals with an automated data analysis strategy to pinpoint potential unknown compounds in full scan mass spectrometry (MS) experiments. Three examples of an untargeted metabolomics approach to contaminant analysis are given. By comparing a plant-oil based hormone cocktail to 90 plant oil samples ca. 25 compounds specific to the hormone cocktail could be detected. Five of these compounds were confirmed as steroid hormones. A comparison of a drink water sample from a farm to distillated water showed the presence of contaminants specific to this drink water sample. A grass sample, which was known to give a false positive result in a DR-CALUX bioassay, was unexpectedly shown to contain an abnormal level of chrysene, which was obviously not eliminated during clean-up.

Combining two independent indirect methods as a new possibility for screening the illegal use of growth promotants.

In this study the possibilities of combined indirect screening methods for the growth promotants clenbuterol and estradiol-17 beta benzoate and the combination of both these agents were investigated. Three groups of 5 male goat kids (two months of age) were treated for 4 weeks; clenbuterol per os, 10 micrograms/day/kg body weight via milkreplacer twice a day; 2 mg estradiol-17 beta benzoate weekly per i.m. injection; combined clenbuterol per os+estradiol-17 beta benzoate per injection. Five animals were not treated and served as controls. Nuclear Magnetic Resonance (NMR) was used as an initial tool to monitor the urine composition. The analysis of NMR spectra showed, that most treated animals had increased L-lactate/creatine ratios (L/C-ratio) in their urine, compared to control animals. For screening, L-lactate/creatine ratios could be determined directly in urine--in a simple, quick and inexpensive manner--by using enzymatic methods and an autoanalyzer. Histologically clenbuterol induced degenerative changes in the urethral and glandular epithelium of the prostate. Changes consisted of vacuolization of the epithelium and necrosis with nuclear pyknosis and fragmentation. Estradiol-17 beta benzoate induced metaplastic changes in the glandular tissue of the goat prostate. In combination with estradiol-17 beta benzoate, characteristics of both agents could be observed. The histological methods and observed effects can be used directly for screening. The combination of independent histological and L/C-ratio methods looks very promising with respect to screening of growth promotants. Since in both cases effects of growth promotants are detected, it may be expected that this approach is not limited to goats or clenbuterol and estradiol alone.

pH-dependent redox activity and fluxionality of the copper site in amicyanin from Thiobacillus yersutus as studied by 300- and 600- MHz 1H NMR.

The kinetics of the deuteronation of one of the copper ligand histidines of the reduced Type I blue-copper protein amicyanin from Thiobacillus versutus was studied as a function of temperature by 300- and 600- MHz 1H NMR. The NMR data were analyzed with the help of a three site exchange model. Deuteron exchange between the histidine ligand and the solution appears to be catalyzed by phosphate. After deuteronation the histidine can occur in two conformations. The electron self-exchange rate of amicyanin was determined as a function of temperature and ionic strength. At 298 K, pD = 8.6, I = 0.05 M, the ese rate amounts to 1.3 x 10(5) M-1 S-1. The activation parameters amount to delta H not equal to = (52 +/- 3) kJ/mol and delta S not equal to = (26 +/- 9) J/mol.K. The dependence of the ese rate on ionic strength is small. The deuteronated amicyanin appears to be redox-inactive. The experimental findings clearly distinguish amicyanin from other classes of blue-copper proteins like the azurins and the pseudo-azurins.

A 1H-NMR study on the blue copper protein amicyanin from Thiobacillus versutus. Resonance identifications, structural rearrangements and determination of the electron self-exchange rate constant.

A number of resonances in the 1H-NMR spectra of reduced and oxidised amicyanin from Thiobacillus versutus have been identified by one- and two-dimensional NMR techniques. The second-order electron self-exchange rate constant (8.5 x 10(4) M-1.s-1; pH = 7.4; T = 308.5 K) was determined by measuring the line broadening of six singlets in slightly oxidised solutions of the protein. A large increase in electron exchange rate is observed in the presence of ferrocyanide. The copper atom in the reactive centre of the protein appears to be coordinated by nitrogens from two histidines and sulfurs from a methionine and a cysteine. One of the ligand histidines becomes protonated at low pH [pK*a = 6.74 (+/- 0.02)], the asterisk indicating value uncorrected for the deuterium isotope effect] in reduced amicyanin. This is the first example of a non-photosynthetic blue copper protein in which a ligand histidine becomes protonated at low pH. A small pH-independent conformational rearrangement occurs upon oxidation.

Biotransformation of furaltadone by pig hepatocytes and Salmonella typhimurium TA 100 bacteria, and the formation of protein-bound metabolites.

1. The major metabolite resulting from the biotransformation of furaltadone (5-morpholinomethyl-3-[5-nitrofurfurylidene-amino]-2-oxazoli dinone) by pig hepatocytes was shown to result from the N-oxidation of the tertiary nitrogen in the morpholino-ring, leaving the nitrofuran ring unchanged. 2. No evidence could be obtained for the formation of an open-chain cyano-metabolite, a minor metabolite in the case of the related nitrofuran drug furazolidone (N-(5-nitro-2-furfurylidene)-3-amino-2-oxazolidinone). This metabolite was the major metabolite, following incubation of furaltadone and furazolidone with Salmonella typhimurium bacteria. 3. The N-oxide was not further metabolized by pig hepatocytes or bacteria, and gave negative test results in the Ames-test (TA 100, no S9-mix) at the highest tested dose of 1 microgram/plate. Furaltadone gave a positive result at 10 ng/plate. 4. The biotransformation of both drugs by pig hepatocytes and bacteria resulted in the formation of protein-bound metabolites, with no clear quantitative differences between the two drugs. The intact 3-amino-2-oxazolidinone (AOZ) and 5-morpholinomethyl-3-amino-2-oxazolidinone (AMOZ) side-chains of furazolidone and furaltadone, respectively, could be released from these metabolites by mild acid treatment. 5. Hepatocytes incubated with the AMOZ side-chain of furaltadone showed a decreased monoamine oxidase activity at high dose levels (IC50 3.7 mM), whereas exposure to the AOZ side-chain of furazolidone resulted in a clear inhibition at 10,000-fold lower concentrations (IC50 0.5 microM). In the presence of 1% dimethylsulphoxide (DMSO), the MAO-inhibition by AMOZ and especially AOZ was remarkably reduced. 6. It is concluded that protein-bound metabolites containing an intact and releasable side-chain might be present in tissues of animals treated with furaltadone. However, these residues might be of less toxicological concern than those of furazolidone.

The structural homology of amicyanin from Thiobacillus versutus to plant plastocyanins.

The complete amino acid sequence of the blue copper protein amicyanin of Thiobacillus versutus, induced when the bacterium is grown on methylamine, has been determined as follows: QDKITVTSEKPVAAADVPADAVVVGIEKMKYLTPEVTIKAGETVYWVNGEVMPHNVA FKKGIVGEDAFRGEMMTKDQAYAITFNEAGSYDYFCTPHPFMRGKVIVE. The four copper ligand residues in this 106-residue-containing polypeptide chain are His54, Cys93, His96, and Met99. The Thiobacillus amicyanin is 52% similar to the amicyanin of Pseudomonas AM1, the only other copper protein known with the same spacing between the second histidine ligand and the methionine ligand. T. versutus amicyanin contains no cysteine bridge and is more closely related to the plant copper protein plastocyanin than to the bacterial copper protein azurin. Alignment of the two known amicyanin sequences with the consensus sequence of the plastocyanins and comparison with the known three-dimensional structure of poplar leaves plastocyanin reveals that the bacterial proteins have the same overall structure with two beta-sheets packed face to face. The major structural differences between the amicyanins and the plastocyanins appear to be located in two of the five loops that connect the six identified beta-strands of the amicyanins. The first of these two loops, connecting strands F and G, contains a ligand histidine and must have a different conformation from the same loop in the plastocyanins because it is shorter by two amino acids. Further differences occur in the loop connecting the strands D and E. This loop contains only 17 residues in amicyanin whereas the corresponding loop of plastocyanin contains 25 residues. Despite these differences the amicyanins appear much closer related to the plastocyanins than to the azurins. The present findings demonstrate that the occurrence of blue copper proteins with clearly plastocyanin-like features is not restricted to photosynthetic redox chains.

Assignment of the 600-MHz 1H-NMR spectrum of amicyanin from Thiobacillus versutus by two-dimensional NMR methods provides information on secondary structure.

The nearly complete assignment (pH 6.8; T 310 K) of the 1H-NMR spectrum of reduced amicyanin from Thiobacillus versutus is reported. Experimental evidence is presented, that the structure of the amicyanin contains two beta-sheets, a feature common to plastocyanins and azurins. The loops joining the beta-strands have also been identified. The loop F-G (Thr94-Phe98), together with the flanking residues Cys93 and Met99, comprises three of the four copper ligands and is short compared to similar loops in plastocyanin and azurin. His96 turns out to be the copper ligand that can be protonated. Amicyanin resembles plastocyanin in overall structure but differs from it on account of an N-terminal strand of 22 amino acids in front of strand A, shorter loops A-B, D-E and F-G and the absence of any alpha-helical segments.

Application of directly coupled HPLC-NMR-MS to the identification and confirmation of quercetin glycosides and phloretin glycosides in apple peel.

Directly coupled HPLC-NMR-MS was used to identify and confirm the presence of quercetin O-glycosides and phloretin O-glycosides in an extract of apple peel. From the MS and MS/MS data, the molecular weights of the intact molecules as well as those of quercetin and phloretin and their sugar moieties were deduced. The NMR data provided information on the identity of the compounds as well as the alpha and beta conformations and the position of the glycosides on quercetin and phloretin. The following O-glycosides of quercetin could be identified: quercetin-3-alpha-L-rhamnosyl-(1-->6)-beta-D-glucoside (rutin), quercetin-3-beta-D-galactoside (hyperin), quercetin-3-beta-D-glucoside (isoquercitrin), quercetin-3-beta-D-xyloside (reynoutrin), quercetin-3-alpha-L-arabinofuranoside (avicularin), and quercetin-3-alpha-L-rhamnoside (quercitrin). Phloretin was present as phloretin-2'-beta-D-glucoside (phloridzin) and the 2'-beta-D-xylosyl-(1-->6)-beta-D-glucoside. Concentrations were between 0.2 and 5 mg/g of apple peel.

Determination of fenoterol and ractopamine in urine by enzyme immunoassay.

Fenoterol and ractopamine are phenethanolamines with beta-adrenergic agonist activity. An enzyme immunoassay (EIA) for these compounds was developed using antibodies raised in a New Zealand white rabbit against fenoterol-bovine serum albumin and fenoterol coupled to horseradish peroxidase (HRP). The calibration graphs of fenoterol and ractopamine showed linearity over the concentration ranges 0.1-5 and 0.2-25 ng ml-1, respectively. Isoxsuprine showed a cross-reactivity of 0.7% while the cross-reactivity of other beta-agonists was < 0.1%. The screening assay was used to detect fenoterol in urine samples obtained from an animal experiment in which male calves were treated with fenoterol (100 micrograms of fenoterol per kg of bodymass per meal for a period of four weeks). Using a direct method, without sample preparation, fenoterol concentrations ranged from 22 to 210 ng ml-1. The mean concentration of fenoterol after extraction in isobutanol was 3.5 times lower compared with the direct method. On applying enzymic hydrolysis in combination with isobutanol extraction, the mean concentration was eight times higher than that obtained when using extraction only. Gas chromatography-mass spectrometry (GC-MS) analysis confirmed the presence of fenoterol in most of these samples. However, probably owing to the absence of a proper GC-MS internal standard, the correlation between GC-MS and EIA concentrations was low (r = 0.7976). In general, the concentrations found by the EIA are much higher than those found by GC-MS, which might be caused by the presence of metabolites detected with the EIA. Fenoterol is excreted in urine mostly (about 85%) as glucuronidated-sulfated conjugate. The antibodies partly recognize the conjugated fenoterol, which makes it possible to use a direct screening assay. In blank calf urine the detection limits, mean background +3 times the standard deviation, are 1.3 (fenoterol) and 2.6 ng ml-1 (ractopamine). In bovine urine, however, owing to matrix effects, the detection limits are 20 times higher.