Analysis of fumonisins in corn-based food by liquid chromatography with fluorescence and mass spectrometry detectors

The presented procedure involves an extraction with methanol–water, centrifugation and cleanup with immunoaffinity columns. A comparison study between fluorescence detector, mass spectrometry, and tandem mass spectrometry with a triple quadrupole (QqQ) analyzer using an electrospray ionisation interface for the determination of fumonisin B₁ and B₂ in corn-based products has been performed.     

Human Neural Stem Cell-Based Drug Product: Clinical and Nonclinical Characterization

Translation of cell therapies into clinical practice requires the adoption of robust production protocols in order to optimize and standardize the manufacture and cryopreservation of cells, in compliance with good manufacturing practice regulations. Between 2012 and 2020, we conducted two phase I clinical trials (EudraCT 2009-014484-39, EudraCT 2015-004855-37) on amyotrophic lateral sclerosis secondary progressive multiple sclerosis patients, respectively, treating them with human neural stem cells. Our production process of a hNSC-based medicinal product is the first to use brain tissue samples extracted from fetuses that died in spontaneous abortion or miscarriage. It consists of selection, isolation and expansion of hNSCs and ends with the final pharmaceutical formulation tailored to a specific patient, in compliance with the approved clinical protocol. The cells used in these clinical trials were analyzed in order to confirm their microbiological safety; each batch was also tested to assess identity, potency and safety through morphological and functional assays. Preclinical, clinical and in vitro nonclinical data have proved that our cells are safe and stable, and that the production process can provide a high level of reproducibility of the cultures. Here, we describe the quality control strategy for the characterization of the hNSCs used in the above-mentioned clinical trials.     

The first measurements of soft x-ray flux from ignition scale Hohlraums at the National Ignition Facility using DANTE (invited)

The first 96 and 192 beam vacuum Hohlraum target experiments have been fielded at the National Ignition Facility demonstrating radiation temperatures up to 340 eV and fluxes of 20 TW/sr as viewed by DANTE representing an ～20?times flux increase over NOVA/Omega scale Hohlraums. The vacuum Hohlraums were irradiated with 2 ns square laser pulses with energies between 150 and 635 kJ. They produced nearly Planckian spectra with about 30±10% more flux than predicted by the preshot radiation hydrodynamic simulations. To validate these results, careful verification of all component calibrations, cable deconvolution, and software analysis routines has been conducted. In addition, a half Hohlraum experiment was conducted using a single 2 ns long axial quad with an irradiance of ～2×10(15)?W/cm(2) for comparison with NIF Early Light experiments completed in 2004. We have also completed a conversion efficiency test using a 128-beam nearly uniformly illuminated gold sphere with intensities kept low (at 1×10(14)?W/cm(2) over 5 ns) to avoid sensitivity to modeling uncertainties for nonlocal heat conduction and nonlinear absorption mechanisms, to compare with similar intensity, 3 ns OMEGA sphere results. The 2004 and 2009 NIF half-Hohlraums agreed to 10% in flux, but more importantly, the 2006 OMEGA Au Sphere, the 2009 NIF Au sphere, and the calculated Au conversion efficiency agree to ±5% in flux, which is estimated to be the absolute calibration accuracy of the DANTEs. Hence we conclude that the 30±10% higher than expected radiation fluxes from the 96 and 192 beam vacuum Hohlraums are attributable to differences in physics of the larger Hohlraums.     

Ultralow-volume fraction collection from NanoLC columns for mass spectrometric analysis of protein phosphorylation and glycosylation

An ultralow volume fraction collection system referred to as nano fraction analysis chip technology (nanoFACT) is reported. The system collects 25-2500-nL fractions from 75-microm nanoLC columns into pipet tips at a user-defined, timed interval, typically one fraction every 15-120 s. Following collection, the fractions in the tip dry down naturally on their own in such a way as to create a concentrated band at the very end of the interior of the pipet tip. The fractions are then reconstituted directly in the pipet tips in approximately 250 nL of solvent prior to analysis. Because the chromatography and reconstitution solvent are independent, the reconstitution solvent can be selected to maximize ionization efficiency without compromising chromatography. In the infusion analysis of the nanoLC fractions, a low-flow electrospray chip is used which consists of 400 nozzles, each with an inner diameter of 2.5 microm and yielding flow rates of approximately 20 nL/min. Therefore, when reconstituted in 250 nL, each nanoLC fraction can be analyzed for over 10 min. This increase in analysis time allows for signal averaging, resulting in higher data quality, collision energy optimization, slower scanning techniques to be used, such as neutral loss and precursor ion scanning, higher resolution scans on FTMS instruments, and improved peptide quantitation. Furthermore, the nanoLC fractions could be archived in the pipet tips for analysis at a later date. Here, the advantages of nanoFACT are shown for phosphorylation analysis using bovine fetuin and glycosylation analysis using bovine ribonuclease B (RNase B). In the phosphorylation analysis, a comparison between conventional nanoLC and a nanoFACT analysis was performed. An MS/MS spectrum of a triply phosphorylated peptide, 313-HTFSGVApSVEpSpSSGEAFHVGK-333 could only be obtained using nanoFACT, not with nanoLC. Furthermore, spectral quality for the nanoFACT analysis was significantly improved over nanoLC. This was determined by comparing the number of diagnostic ions between the nanoFACT and nanoLC spectra, and it was found that the nanoFACT spectra contained a 19% or greater number of diagnostic ions for nonphosphorylated peptides and 55% or greater for phosphorylated peptides. For the glycosylation analysis, the glycosylation site of RNase B was fully characterized using 100 fmol of tryptic digest on a three-dimensional ion trap mass spectrometer.     

Detection of organophosphorus compounds by covalently immobilized organophosphorus hydrolase

As a consequence of organophosphorus (OP) toxins posing a threat to human life globally, organophosphorus hydrolase (OPH) has become the enzyme of choice to detoxify such compounds. Organophosphorus hydrolase was covalently immobilized onto a quartz substrate for utilization in paraoxon detection. The substrate was cleaned and modified prior to chemical attachment. Each modification step was monitored by imaging ellipsometry as the thickness increased with each modification step. The chemically attached OPH was labeled with a fluorescent dye (7-isothiocyanato-4-methylcoumarin) for the detection of paraoxon in aqueous solution, ranging from 10(-9) to 10(-5) M. UV-visible spectra were also acquired for the determination of the hydrolysis product of para-oxon, namely p-nitrophenol.     

Open Loop Robust Equilibria in Uncertain Discrete Time Games

International Journal of Control, Automation and Systems - This paper tackles the problem of a discrete time N players game affected by some sort of time-varying uncertain perturbation. The...     

Social media adoption in Italian firms. Opportunities and challenges for lagging regions

Social media are an important growth opportunity for firms, especially small-sized ones operating in peripheral and lagging regions. In this paper, we investigate not only whether firms are able to take this opportunity, but also if they are able to face the challenge of adopting social media at a professional level to obtain a significant economic impact, measured in terms of exporting activities. Exploring the Italian case, our empirical study indicates that smaller firms in lagging areas are more likely to adopt social media but at the same time less likely to use them at a professional level. This reflects poor strategic targets of social media adoption and lower probabilities of entering international markets.     

High frequency heating of medium density fiberboard (MDF): theory and experiment

Medium-density fiberboard (MDF) is a wood-based panel manufactured from wood fibers with a synthetic adhesive through the conduction of heat from the hot platens. One alternative is the use of high-frequency (HF) heating, which has the advantage of reducing the press cycle, the platens temperature and the post-curing time, with constancy of resin formulation. For this approach, an electromagnetic (EM) heating model was developed and coupled with a three-dimensional model for heat and mass transfer and resin polymerization already existent. A solution of the Maxwell equations is used to determine the spatial distribution of the electric field inside the material and the absorbed power. MDF mat was assumed as a porous and homogeneous material at macroscopic level and a dielectric mixture at microscopic level (volume of control). The mat dielectric properties (wood fibers/particles and UF resin) were estimated using a “rule of mixture” and depend on local temperature and moisture content during the heating process. This dynamic model was used to predict the evolution of the local variables related to heat and mass transfer (temperature and moisture content), as well as the variable connected to the EM behavior (dielectric properties of the mat). The model performance was analyzed using the experimental results of HF () MDF heating. It was concluded that the model could suitably predict the evolution of the internal mat temperature during heating.     

Performance characteristics of an FT MS-based workflow for label-free differential MS analysis of human plasma: standards, reproducibility, targeted feature investigation, and application to a model of controlled myocardial infarction

Proteomics is undergoing a rapid transformation from a qualitative global peptide sequencing discipline into a quantitative, reproducibility-driven practice. Nowhere is this more evident than in the rapidly expanding field of protein biomarker discovery where the general goal is to uncover statistically robust patterns of differential expression between or among subjects/samples representing distinct biological/temporal states. This report presents the analytical characterization of a label-free LC FT-ICR-MS workflow for differential proteomics analysis of human plasma. The key elements discussed include (i) methodologies for performing properly replicated experiments with highly reproducible sample preparation and analysis, including the use of internal standards to quantify variance at different steps in the process, (ii) a new methodology for performing sample re-analysis that uses off-line targeted robotic acquisition of complementary spectral data (e.g. ECD and/or IRMPD) to enhance the identification of differentially expressed peptides/proteins, and (iii) data processing pipelines capable of integrating the automatic statistical analysis of the label-free (LC-) MS signal, together with the intuitive and highly interactive curation and annotation of differential features using the output from standard sequence database search programs. We illustrate the application of the complete sample-to-annotated-differential-peptides (-proteins) workflow by describing the acquisition and analysis of a large multidimensional dataset from patients undergoing a controlled myocardial infarction resulting in an experimental setup in which each patients serve as their own control. Furthermore, we discuss a couple illustrative examples of mid-level proteins observed in this study whose plasma concentrations change consistently within and across patients, in a treatment- and time-dependent fashion.