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Sunday, August 2, 2020 | History

4 edition of Biodegradability prediction found in the catalog.

Biodegradability prediction

  • 365 Want to read
  • 19 Currently reading

Published by Kluwer Academic Publishers in Dordrecht, Boston .
Written in English

    Subjects:
  • Biodegradation -- Congresses.,
  • Structure-activity relationships (Biochemistry) -- Congresses.

  • Edition Notes

    Statementedited by Willie J.G.M. Peijnenburg and Jirí Damborský.
    ContributionsPeijnenburg, Willie J. G. M., Damborský, Jirí., North Atlantic Treaty Organization. Scientific Affairs Division., NATO Advanced Research Workshop on QSAR Biodegradation (2nd : 1996 : Luhačovice, Czech Republic)
    Classifications
    LC ClassificationsQP517.B5 B55 1996
    The Physical Object
    Paginationix, 143 p. :
    Number of Pages143
    ID Numbers
    Open LibraryOL1009497M
    ISBN 100792343417
    LC Control Number96049530

    EPA/ September LITERATURE STUDY OF THE BIODEGRADABILITY OF -CHEMICALS IN WATER Volume 1. Biodegradability Prediction, Advances in and Chemical Interferences with Wastewater Treatment by John Geating Franklin Research Center Philadelphia, Pennsylvania EPA Grant No. R Project Officer Sidney A. Hannah Wastewater. Furthermore, biodegradability predictions are important as rapid biodegradability will mitigate any predicted ecological effects of compounds. We suggest that compounds that pass either Criteria A or B have the potential to be biodegradable and could be considered further .

    @article{osti_, title = {Predicting methane fermentation biodegradability}, author = {Chandler, J A and Jewell, W J and Gossett, J M and Van Soest, P J and Robertson, J B}, abstractNote = {Estimation of the feedstock digestibility in cows by procedures developed by Van Soest was performed. By feeding cows feedstuff of different lignin content, cell wall digestibility can be estimated. Bioaccumulation Estimates from Log Kow (BCFWIN v): Log BCF from regression-based method = (BCF = ) log Kow used: (estimated) Volatilization from Water: Henry LC: atm-m3/mole (estimated by Group SAR Method) Half-Life from Model River: hours Half-Life from Model Lake: hours ( days) Removal In.

      Petroleum Hydrocarbon Biodegradability in Soil – Implications for Bioremediation. By Snežana Maletić, Božo Dalmacija and Srđan Rončevic. Submitted: November 7th Reviewed: May 23rd Published: January 16th DOI: / In the last several years chemometric methods have been applied to prediction of biodegradability. Within the framework of the chemometric approach [36, 37], both regression and classification models can be developed. Regression models are usually based on ordinary least squares, but sometimes logistic regression is used as well.


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Biodegradability prediction Download PDF EPUB FB2

The present book deals with quantitative structure-biodegradability relationship models (QSBRs), emphasizing the biological and ecological part of the biodegradation process.

Surveys are given of the microbial aspects of biodegradation and the methods available for testing biodegradability. Biodegradability Prediction.

Nato Science Partnership Subseries (Book 23) Share your thoughts Complete your Biodegradability prediction book. Tell readers what you thought by rating and reviewing this book. Rate it Brand: Springer Netherlands.

Prediction of Biodegradability from Chemical Structure: Use of MITI Data, Structural Fragments and Multivariate Analysis for the Estimation of Ready and Not Ready Biodegradability; H. Loonen, et al. Development of Structure-Biodegradability Relationships (SBRs) for Estimating Half-Lifes of Organic Contaminants in Soil Systems; R.

Govind, et al. Biodegradability Prediction. por. Nato Science Partnership Subseries (Book 23) ¡Gracias por compartir. Has enviado la siguiente calificación y reseña. Lo publicaremos en nuestro sitio después de haberla : Springer Netherlands.

The link between aerobic and anaerobic biodegradability of sludge: Activated sludge: Ekama et al. () Aerobic tests as shorter respirometric tests: Municipal waste from landfills: Cossu and Raga () Wagland and Tyrrel () Ponsá et al.

() Prediction of the methane generation rate constant using a large-scale respirometer. This study presents a review of biodegradability modeling efforts including a detailed assessment of two models developed using an artificial intelligence based methodology.

Validation results for these models using an independent, quality reviewed database, demonstrate that the models perform well when compared to another commonly used biodegradability model, against the same data. As in the case of the prediction of biodegradability of parent pollutants by corresponding 1- to 6-variable models (Fig.

2(A)), R values for the training set increased by an increase in the number of variables Biodegradability prediction book. descriptors) in the models for ((BOD 5 /COD) t1/2) prediction (Fig.

4.). Further similarity can be observed regarding the optimal. The 5-day BODs of 45 organic chemicals were determined using acclimated mixed microbial cultures.

These chemicals included alcohols, acids, esters, ketones, aromatics and miscellaneous compounds. The BOD data were correlated with (1) water solubilities, (2) log of 1-octanol/water partition coefficients, (3) molar refractivities and volumes, (4) melting (m.p.) and boiling points, (5) number of.

Biodegradability is a key property in the development of safer fragrances. In this work we present a green methodology for its preliminary assessment.

The structure of various fragrant molecules is characterized by computing a large set of topological indices. Those relevant to biodegradability are selected by means of a hybrid stepwise selection method to build a linear classifier.

Buy Biodegradability Prediction: Proceedings of the NATO Advanced Research Workshop on QSAR Biodegradation II - QSARs for Biotransformation and (NATO Science Partnership Sub-Series: 2:) by Peijnenburg, W.J., Damborský, Jirí (ISBN: ) from Amazon's Book Store.

Everyday low prices and free delivery on eligible : Hardcover. A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text.

Get this from a library. Biodegradability Prediction. [Willie J G M Peijnenburg; Jirí Damborský] -- Biodegradation is the dominant pathway for the environmental transformation of most chemicals and information on a chemical's biodegradability is essential for proper risk assessment.

But there are. Prediction of the biodegradability of organic pollutants is an ecologically desirable and economically feasible tool for estimating the environmental fate of chemicals.

In this paper, linear and. Book. BIODEGRADABILITY PREDICTION: Editor. W.J.G.M. Peijnenburg and J. Damborsky (Eds.) Publisher. Kluwer Academic Publishers, Dordrecht. Abstract. Mechanistic approach has been applied on microbial – hydrolytic – dehalogenation of haloaliphatic compounds. An attempt has been made: (i) to investigate the rate-limiting step, (ii) to.

The prediction efficacy of the biodegradability was further enhanced using multiple regressions based on %C1, %C2 and C3/C2. Overall, our study demonstrated that EEM-PARAFAC technique could be effectively used for on-site monitoring of the concentration, chemical composition and biodegradability of organic matter in many wastewater treatment.

PEIJNENBURG, Willie a Jiří DAMBORSKÝ. Biodegradability prediction vyd. Dordrecht: Kluwer Academic Publishers, s. ISBN Biodegradability: the conversion of >90% of the original material into CO2, water and minerals by biological processes within 6 months.

Disintegrability: at least 90% of the original mass should be decomposed into particles that are able to pass through a 2x2 mm sieve. Application of Molecular Topology to the Prediction of Water Quality Indices of Alkylphenol Pollutants: /ch In this paper, topological-mathematical models based on multilineal regression analysis have been built as a model of the degradability of 26 alkylphenols.

Predicting biodegradability is essentially a regression prob-lem, but we also consider a discretized version of the target variable. and lower bound predictions into one prediction. Some conclusions are drawn concerning the applicability of machine learning systems and the merging technique in this domain and the evaluation of hypotheses.

New modeling methods and high predictive models were reported for chemical biodegradability prediction (J. Chem. Inf. Model. 52(3): ) ADMET-Simulator v was released (Software copyright registration number: SR).

Functions of admetSAR. a dmetSAR can help researcher, PK specialists to do as follows. @article{osti_, title = {Predicting methane fermentation biodegradability. Final report}, author = {Chandler, J A and Jewell, W J}, abstractNote = {Due to the worldwide energy shortage, increased attention has been given to methane fermentation as an energy production process.

Current engineering methods require 90 days or more before substrate biodegradability can be ascertained.Application of Molecular Topology to the Prediction of Water Quality Indices of Alkylphenol Pollutants: /ijcce In this paper, topological-mathematical models based on multilineal regression analysis have been built as a model of the degradability of 26 alkylphenols.Photochemical Processes Contributing to Abiotic Degradation in the Environment (W.

Klöpffer). Predictions of Chemical Transformation Rates of Organic Pollutants in Aquatic Systems (D. Macalady and R. Schwarzenbach). Quantitative Structure-Biodegradability Relationships for Predictive Purposes (P. Vasseur, P. Kuenemann, and J.

Devillers).