Adsorption of glycine and its di-, tri-, and tetra-peptides by montmorillonite

Greenland, D. J.; Laby, R. H.; Quirk, J. P.

doi:10.1039/tf9625800829

Cited by 72 publications

(23 citation statements)

References 6 publications

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“…Typical of many organic compounds, oligoglycine adsorption strength generally increase as molecular weight increases (Greenland et al, 1962(Greenland et al, , 1965Basiuk et al, 1995;Basiuk and Gromovoy, 1996;Zhou et al, 2001) (although there are exceptions, see for example Dashman and Stotzky, 1984), and as has been pointed out it may be difficult to differentiate between oligomerization, degradation and adsorption (Lambert, 2008). Using the measured specific surface areas of the minerals studied (Table 1) and assuming molecular cross-sections of 16, 30, 25 and 45 Å 2 for glycine, GG, DKP and GGG, respectively, and assuming monolayer adsorption, the maximum number of moles that could have been adsorbed on each mineral are shown in Table 2.…”

Section: Adsorptionmentioning

confidence: 99%

Catalytic peptide hydrolysis by mineral surface: Implications for prebiotic chemistry

Marshall-Bowman

Ohara

Sverjensky

et al. 2010

Geochimica et Cosmochimica Acta

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Section: Adsorptionmentioning

confidence: 99%

Catalytic peptide hydrolysis by mineral surface: Implications for prebiotic chemistry

Marshall-Bowman

Ohara

Sverjensky

et al. 2010

Geochimica et Cosmochimica Acta

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“…Greenland et al (1962,1965) investigated the interactions of various amino acids with H-, Na-, and Ca-montmorillonites [19,20]. Arginine, histidine, and lysine adsorbed to Na-and Ca-montmorillonites by cation exchange.…”

Section: Adsorption Of Amino Acids By Clay Mineralsmentioning

confidence: 99%

Role of Clay Minerals in Chemical Evolution and the Origins of Life

Hashizume¹

2012

Clay Minerals in Nature - Their Characterization, Modification and Application

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“…In total of 215 com-addition, linear adsorption isotherms of parathion, monn Eq. (7) and its uron, methyl-parathion, oxydipropionitril, trietazine, hexanol, hexachlorocyclohexanes, and glycine and its peptides on clays was reported (17,58). Such adsorbents 8 are very different from the soil organic matter; they do not possess the presumed solvent action of the organic (7) matter fraction that is invoked as the phase where par- (16).…”

Section: Statistical Modeling Processmentioning

confidence: 99%

Quantitative modeling of soil sorption for xenobiotic chemicals

Sabljić¹

1989

Environ Health Perspect

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Experimentally determining soil sorption behavior of xenobiotic chemicals during the last 10 years has been costly, time-consuming, and very tedious. Since an estimated 100,000 chemicals are currently in common use and new chemicals are registered at a rate of 1000 per year, it is obvious that our human and material resources are insufficient to experimentally obtain their soil sorption data. Much work is being done to find alternative methods that will enable us to accurately and rapidly estimate the soil sorption coefficients of pesticides and other classes of organic pollutants.Empirical models, based on water solubility and n-octanol/water partition coefficients, have been proposed as alternative, accurate methods to estimate soil sorption coefficients. An analysis of the models has shown (a) low precision of water solubility and n-octanol/water partition data, (b) varieties of quantitative models describing the relationship between the soil sorption and above-mentioned properties, and (c) violations of some basic statistical laws when these quantitative models were developed.During the last 5 years considerable efforts were made to develop nonempirical models that are free of errors imminent to all models based on empirical variables. Thus far molecular topology has been shown to be the most successful structural property for describing and predicting soil sorption coefficients. The first-order molecular connectivity index was demonstrated to correlate extremely well with the soil sorption coefficients of polycyclic aromatic hydrocarbons (PAi[s), alkylbenzenes, chlorobenzenes, chlorinated alkanes and alkenes, heterocyclic and heterosubstituted PAHs, and halogenated phenols. The average difference between predicted and observed soil sorption coefficients is only 0.2 on the logarithmic scale (corresponding to a factor of 1.5). A comparison of the molecular connectivity model with the empirical models described earlier shows that the former is superior in accuracy, performance, and range of applicability.It is possible to extend this model, with the addition of a single, semiempirical variable, to take care of polar and ionic compounds and to accurately predict the soil sorption coefficients for almost 95% of all organic chemicals whose coefficients have been reported. No empirical or nonempirical models have ever predicted the soil sorption coefficients to such a high degree of accuracy on such a broad selection of structurally diverse compounds. An additional advantage of the molecular connectivity model is that it is sufficient to know the structural formulas to make predictions about soil sorption coefficients. The structural analysis of our quantitative model has shown that two factors are responsible for the majority of the variations in the soil sorption data: the molecular surface areas and the polarity of compounds. Distribution of Xenobiotic Chemicals in the EnvironmentThe widespread use of organic pesticides has given rise to extensive interest (1-3) in the adsorption of such solutes by soils from a...

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Adsorption of glycine and its di-, tri-, and tetra-peptides by montmorillonite

Cited by 72 publications

References 6 publications

Catalytic peptide hydrolysis by mineral surface: Implications for prebiotic chemistry

Catalytic peptide hydrolysis by mineral surface: Implications for prebiotic chemistry

Role of Clay Minerals in Chemical Evolution and the Origins of Life

Quantitative modeling of soil sorption for xenobiotic chemicals

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