Lignin Structural Changes During Liquefaction in Acidified Ethylene Glycol

Abstract

Beech (Fagus Sylvatica) milled-wood lignin was used as a model substrate in a study of lignin-catalyzed liquefaction in the presence of p-toluene sulfonic acid monohydrate (PTSA) or sulphuric acid as the catalysts. The structural changes that lignin undergoes during the treatment were studied by NMR spectroscopy, FTIR, size-exclusion chromatography, and high-performance liquid chromatography. For the sulphuric acid-catalyzed liquefaction, it was shown that the greater hydronium ion concentration in the reaction mixture induced formation of more condensed structures compared to the ones obtained after PTSA-catalyzed liquefaction. In addition, lignin during the PTSA-catalyzed liquefaction suffered degradation and was functionalized by the ethylene glycol. Gradual introduction of the ethylene glycol moieties into the lignin structure formed a condensed lignin-based polymeric material with predominant aromatic hydroxyl groups. HPLC and NMR analysis of the liquefied lignin with low-molecular mass fraction confirmed the presence of lignin monomers and further conversion of initially identified products into the aliphatic, aromatic (syringyl- and guaiacyl-based) esters and acids.     

Estimating probabilistic confidence for mixture components identified using a spectral search algorithm

Providing a confidence measure associated with the substance(s) identified in an unknown mixture by a spectral search technique is critical for non-expert users of devices and techniques based on spectroscopy. In this work, a technique for estimating probabilities associated with substances identified by spectral searching is described. In the proposed approach, a mixture analysis algorithm processes the spectrum of an unknown sample using a spectral library to generate a list of substances that may be present in the sample. The partial correlation of each of the substances in the list is then computed. The estimation of the probability is accomplished through a generalized linear model that converts the partial correlation values to a probability measure for each of the mixture components. The statistical properties of partial correlation allow probability estimation irrespective of whether a substance is present in a pure form or within a mixture. The technique was evaluated using both simulated and real Raman spectra of multi-component mixtures, and adequate performance was demonstrated.     

Interaction with demonstrator rats changes observer rats' affective responses to flavors.

The authors examined whether exposing naive rats (observers) to recently fed conspecific demonstrator rats changed the observers' later affective responses to foods their demonstrators ate. In Experiment 1, observers learned an aversion to a flavored fluid, then interacted with demonstrators that had drunk that fluid. These observers, but not those interacting with demonstrators that had drunk water, increased their intake of the averted fluid and exhibited fewer negative responses when the averted fluid was infused into their mouths. Rats in Experiment 2 entered the arm of a T maze known to lead to banana-flavored pellets more frequently after interacting with demonstrators fed banana-flavored pellets than after interacting with demonstrators fed chow-flavored pellets. Results of both experiments indicated that interaction with demonstrator rats changed observer rats' affective responses to flavors. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Liquefaction of wood,synthesis and characterization of liquefied wood polyester derivatives

Liquefaction of Central‐European softwoods meal was performed using a mixture of diethylene glycol and glycerol and a minor addition of p‐toluenesulfonic acid as a catalyst. The liquefied wood was used as a replacement of a certain amount of the polyhydroxy alcohol in the polyester synthesis, enabled by the large number of hydroxyl groups that were available in the liquefied wood. Three different polyesters were synthesized by using adipic acid and phthalic acid anhydride as reagents. The products were characterized using FTIR, GPC/SEC, and viscosity measurements. The polyesters have hydroxyl values that were reduced due to esterification, from 1043 mg KOH/g of the liquefied wood to 400–800 mg KOH/g. Polyhydroxyl alcohols (22–23%) in the polyester formulations were replaced by wood derivatives. Such saturated polyesters are suitable for further use in polyurethane foam production. © 2009 Wiley Periodicals, Inc. J Appl Polym Sci, 2010     

Removing as from converter dust by a hydrometallurgical method

Research has been conducted at the Faculty of Metallurgy, Technical University, Kosice, to develop a hydrometallurgical method for removing arsenic from copper converter dust. The process consists of a selective leaching of the flue dust in which arsenic is dissolved in sodium-sulfide solution and then removed by precipitation methods using various agents: copper sulfate, a mixture of phosphoric acid with calcium hydroxide, calcium oxide, and ferrous or ferric sulfate. In principle, arsenic can be removed as a marketable product (copper arsenate for wood preservation) or as stable precipitate compounds suitable for safe landfill disposal under existing U.S. Environmental Protection Agency regulations. For more information, eontact E. Vircikova, Technical University, Faculty of Metallurgy, Letna 9, 04000 Kosice Slovakia; telephone 421-95-602-2703; fax 421-95-633-7048; e-mail vircik@hfnov.tuke.sk.     

Urine Molecular Biomarkers for Detection and Follow-Up of Small Renal Masses

Active surveillance (AS) is the best strategy for small renal masses (SRMs) management; however, reliable methods for early detection and disease aggressiveness prediction are urgently needed. The aim of the present study was to validate DNA methylation biomarkers for non-invasive SRM detection and prognosis. The levels of methylated genes TFAP2B, TAC1, PCDH8, ZNF677, FLRT2, and FBN2 were evaluated in 165 serial urine samples prospectively collected from 39 patients diagnosed with SRM, specifically renal cell carcinoma (RCC), before and during the AS via quantitative methylation-specific polymerase chain reaction. Voided urine samples from 92 asymptomatic volunteers were used as the control. Significantly higher methylated TFAP2B, TAC1, PCDH8, ZNF677, and FLRT2 levels and/or frequencies were detected in SRM patients’ urine samples as compared to the control. The highest diagnostic power (AUC = 0.74) was observed for the four biomarkers panel with 92% sensitivity and 52% specificity. Methylated PCDH8 level positively correlated with SRM size at diagnosis, while TFAP2B had the opposite effect and was related to SRM progression. To sum up, SRMs contribute significantly to the amount of methylated DNA detectable in urine, which might be used for very early RCC detection. Moreover, PCDH8 and TFAP2B methylation have the potential to be prognostic biomarkers for SRMs.