A glass bead semi-hydroponic system for intact maize root exudate analysis and phenotyping.

BACKGROUND: Although there have been numerous studies describing plant growth systems for root exudate collection, a common limitation is that these systems require disruption of the plant root system to facilitate exudate collection. Here, we present a newly designed semi-hydroponic system that uses glass beads as solid support to simulate soil impedance, which combined with drip irrigation, facilitates growth of healthy maize plants, collection and analysis of root exudates, and phenotyping of the roots with minimal growth disturbance or root damage. RESULTS: This system was used to collect root exudates from seven maize genotypes using water or 1 mM CaCl2, and to measure root phenotype data using standard methods and the Digital imaging of root traits (DIRT) software. LC-MS/MS (Liquid Chromatography-Tandem Mass Spectrometry) and GC-MS (Gas Chromatography-Mass Spectrometry) targeted metabolomics platforms were used to detect and quantify metabolites in the root exudates. Phytohormones, some of which are reported in maize root exudates for the first time, the benzoxazinoid DIMBOA (2,4-Dihydroxy-7-methoxy-1,4-benzoxazin-3-one), amino acids, and sugars were detected and quantified. After validating the methodology using known concentrations of standards for the targeted compounds, we found that the choice of the exudate collection solution affected the exudation and analysis of a subset of analyzed metabolites. No differences between collection in water or CaCl2 were found for phytohormones and sugars. In contrast, the amino acids were more concentrated when water was used as the exudate collection solution. The collection in CaCl2 required a clean-up step before MS analysis which was found to interfere with the detection of a subset of the amino acids. Finally, using the phenotypic measurements and the metabolite data, significant differences between genotypes were found and correlations between metabolites and phenotypic traits were identified. CONCLUSIONS: A new plant growth system combining glass beads supported hydroponics with semi-automated drip irrigation of sterile solutions was implemented to grow maize plants and collect root exudates without disturbing or damaging the roots. The validated targeted exudate metabolomics platform combined with root phenotyping provides a powerful tool to link plant root and exudate phenotypes to genotype and study the natural variation of plant populations.

Metabolic profiling of tyrosine, tryptophan, and glutamate in human urine using gas chromatography-tandem mass spectrometry combined with single SPE cleanup.

The tyrosine, tryptophan, and glutamate metabolic pathways play key roles on pathological state of neuronal functions and the change of their levels in biological systems reflects the progress degree of neuronal diseases. Comprehensive profiling of these metabolites is important to find new biomarkers for diagnosis or prognosis of various neuronal diseases. However, the overall profiling analysis of various neurochemicals in biological sample is confronted with several limitations due to their low concentration and physicochemical properties and the coexistence of matrices. We developed an efficient and feasible method using gas chromatography-tandem mass spectrometry (GC-MS/MS). Wide-bore mixed cation exchange (MCX) SPE process enables a rapid and effective cleanup of 20 neurochemicals even including acidic and basic neurochemicals in a single SPE cartridge by using different composition of eluents. Selective derivatization of various types of metabolites was applied to achieve highly chromatographic separation and sensitive mass detection. Appropriate selection of precursor and product transition ions used in multiple reaction-monitoring (MRM) mode based on the MS/MS fragmentations of the derivatized neurochemicals could be significantly minimized the matrix effects and enhanced the reliability of quantification results. The developed method was validated in terms of linearity, limits of detection, precision, accuracy, and matrix effects. The intra- and inter-assay analytical variations were less than 10%. The overall linearity for all of the targets was excellent (R2≥0.996). The detection limits ranged between 0.38 and 8.13ng/mL for the acidic neurochemicals and between 0.02 and 11.1ng/mL for the basic neurochemicals. The developed protocol will be expected to be a promising tool for the understanding of the pathological state and diagnosis of various neuronal diseases.

Comprehensive profiling analysis of bioamines and their acidic metabolites in human urine by gas chromatography/mass spectrometry combined with selective derivatization.

A comprehensive analytical method was developed for the profiling of biogenic amines in human urine using GC/MS in SIM mode. Biogenic amines and their acidic metabolites were converted into their volatile O-trimethylsilyl/N-heptafluorobutyryl (OTMS/-NHFBA) derivatives for GC/MS analysis. Dual hexamethyldisilazane (HMDS)/-N-methyl-bis-heptafluorobutyramide (MBHFBA) derivatizations have been shown to be quite effective, with high derivatization yields and the absence of side products for primary biogenic amines. In this study, selective derivatization conditions by HMDS/MBHFBA were optimized in terms of the reagent amount, reaction temperature and reaction time period. The highest derivatization reaction yield was obtained at 40°C for 10min for OTMS derivatization and 80°C for 5min for N-HFBA derivatization. The use of MCX SPE cartridges with different SPE elution solvents was effective for the pre-concentration and selective cleanup of the biogenic amines and their acidic metabolites in human urine. The selection of appropriate ions in SIM mode provided reliable quantification and identification and a reduction in background effects. The established method was validated in terms of linearity, limits of detection (LOD), limits of quantification (LOQ), precision, and accuracy. The present method was linear (r(2)>0.996), reproducible (relative standard deviation range 1.1-6.9%), and accurate (range 87.9-111.9%), with LOQs of 0.17-17.84ng/mL. The biogenic amine profiling of human urine was successfully accomplished by GC/MS in SIM mode combined with selective HMDS/MBHFBA derivatization and MCX SPE cleanup.