Development, validation and uncertainty analysis of quantitative structure and activity relationship models for Log P of disinfection by -products

Hydrophobicity as measured by Log P is an important molecular property related to toxicity and carcinogenicity. With increasing public health concerns for the effects of Disinfection By-Products (DBPs), there are considerable benefits in developing Quantitative Structure and Activity Relationship (QSAR) models capable of accurately predicting Log P. In this research, Log P values of 173 DBP compounds in 6 functional classes were used to develop QSAR models, by applying 3 molecular descriptors, namely, Energy of the Lowest Unoccupied Molecular Orbital (ELUMO), Number of Chlorine (NCl) and Number of Carbon (NC) by Multiple Linear Regression (MLR) analysis. The QSAR models developed were validated based on the Organization for Economic Co-operation and Development (OECD) principles. The model Applicability Domain (AD) and mechanistic interpretation were explored. Considering the very complex nature of DBPs, the established QSAR models performed very well with respect to goodness-of-fit, robustness and predictability. The predicted values of Log P of DBPs by the QSAR models were found to be significant with a correlation coefficient R2 from 81% to 98%. The Leverage Approach by Williams Plot was applied to detect and remove outliers, consequently increasing R 2 by approximately 2% to 13% for different DBP classes. The developed QSAR models were statistically validated for their predictive power by the Leave-One-Out (LOO) and Leave-Many-Out (LMO) cross validation methods. Finally, Monte Carlo simulation was used to assess the variations and inherent uncertainties in the QSAR models of Log P and determine the most influential parameters in connection with Log P prediction. The developed QSAR models in this dissertation will have a broad applicability domain because the research data set covered six out of eight common DBP classes, including halogenated alkane, halogenated alkene, halogenated aromatic, halogenated aldehyde, halogenated ketone, and halogenated carboxylic acid, which have been brought to the attention of regulatory agencies in recent years. Furthermore, the QSAR models are suitable to be used for prediction of similar DBP compounds within the same applicability domain. The selection and integration of various methodologies developed in this research may also benefit future research in similar fields.

Chlorine contribution to quantitative structure and activity relationship models of disinfection by -products' quantum chemical descriptors and toxicities

Quantitative Structure-Activity Relationship (QSAR) has been applied extensively in predicting toxicity of Disinfection By-Products (DBPs) in drinking water. Among many toxicological properties, acute and chronic toxicities of DBPs have been widely used in health risk assessment of DBPs. These toxicities are correlated with molecular properties, which are usually correlated with molecular descriptors. The primary goals of this thesis are: (1) to investigate the effects of molecular descriptors (e.g., chlorine number) on molecular properties such as energy of the lowest unoccupied molecular orbital (E LUMO) via QSAR modelling and analysis; (2) to validate the models by using internal and external cross-validation techniques; (3) to quantify the model uncertainties through Taylor and Monte Carlo Simulation. One of the very important ways to predict molecular properties such as ELUMO is using QSAR analysis. In this study, number of chlorine (NCl ) and number of carbon (NC) as well as energy of the highest occupied molecular orbital (EHOMO) are used as molecular descriptors. There are typically three approaches used in QSAR model development: (1) Linear or Multi-linear Regression (MLR); (2) Partial Least Squares (PLS); and (3) Principle Component Regression (PCR). In QSAR analysis, a very critical step is model validation after QSAR models are established and before applying them to toxicity prediction. The DBPs to be studied include five chemical classes: chlorinated alkanes, alkenes, and aromatics. In addition, validated QSARs are developed to describe the toxicity of selected groups (i.e., chloro-alkane and aromatic compounds with a nitro- or cyano group) of DBP chemicals to three types of organisms (e.g., Fish, T. pyriformis, and P.pyosphoreum) based on experimental toxicity data from the literature. The results show that: (1) QSAR models to predict molecular property built by MLR, PLS or PCR can be used either to select valid data points or to eliminate outliers; (2) The Leave-One-Out Cross-Validation procedure by itself is not enough to give a reliable representation of the predictive ability of the QSAR models, however, Leave-Many-Out/K-fold cross-validation and external validation can be applied together to achieve more reliable results; (3) E LUMO are shown to correlate highly with the NCl for several classes of DBPs; and (4) According to uncertainty analysis using Taylor method, the uncertainty of QSAR models is contributed mostly from NCl for all DBP classes.

Chlorine Contribution to Quantitative Structure and Activity Relationship Models of Disinfection By-Products' Quantum Chemical Descriptors and Toxicities

Quantitative Structure-Activity Relationship (QSAR) has been applied extensively in predicting toxicity of Disinfection By-Products (DBPs) in drinking water. Among many toxicological properties, acute and chronic toxicities of DBPs have been widely used in health risk assessment of DBPs. These toxicities are correlated with molecular properties, which are usually correlated with molecular descriptors. The primary goals of this thesis are: 1) to investigate the effects of molecular descriptors (e.g., chlorine number) on molecular properties such as energy of the lowest unoccupied molecular orbital (ELUMO) via QSAR modelling and analysis; 2) to validate the models by using internal and external cross-validation techniques; 3) to quantify the model uncertainties through Taylor and Monte Carlo Simulation. One of the very important ways to predict molecular properties such as ELUMO is using QSAR analysis. In this study, number of chlorine (NCl) and number of carbon (NC) as well as energy of the highest occupied molecular orbital (EHOMO) are used as molecular descriptors. There are typically three approaches used in QSAR model development: 1) Linear or Multi-linear Regression (MLR); 2) Partial Least Squares (PLS); and 3) Principle Component Regression (PCR). In QSAR analysis, a very critical step is model validation after QSAR models are established and before applying them to toxicity prediction. The DBPs to be studied include five chemical classes: chlorinated alkanes, alkenes, and aromatics. In addition, validated QSARs are developed to describe the toxicity of selected groups (i.e., chloro-alkane and aromatic compounds with a nitro- or cyano group) of DBP chemicals to three types of organisms (e.g., Fish, T. pyriformis, and P.pyosphoreum) based on experimental toxicity data from the literature. The results show that: 1) QSAR models to predict molecular property built by MLR, PLS or PCR can be used either to select valid data points or to eliminate outliers; 2) The Leave-One-Out Cross-Validation procedure by itself is not enough to give a reliable representation of the predictive ability of the QSAR models, however, Leave-Many-Out/K-fold cross-validation and external validation can be applied together to achieve more reliable results; 3) ELUMO are shown to correlate highly with the NCl for several classes of DBPs; and 4) According to uncertainty analysis using Taylor method, the uncertainty of QSAR models is contributed mostly from NCl for all DBP classes.

Comparison of excess radiological risk of building materials and industrial by-products according to I-index (EU-BSS) and revised room model (IAEA SSG-32)

To get a better insight into the radiological features of industrial by-products that can be reused in building materials a review of the reported scientific data can be very useful. The current study is based on the continuously growing database of the By-BM (H2020-MSCA-IF-2015) project (By-products for Building Materials). Currently, the By-BM database contains individual data of about 431 by-products and 1095 building and raw materials. It was found that in case of the building materials the natural radionuclide content varied widely (Ra-226: <DL-27851 Bq/kg; Th-232: <DL-906 Bq/kg, K-40: <DL-17922 Bq/kg), more so than for the by-products (Ra-226: 7-3152 Bq/kg; Th-232: <DL-1350 Bq/kg, K-40: <DL-3001 Bq/kg). The average Ra-226, Th-232 and K-40 contents of the reported by-products were respectively 2.52, 2.35 and 0.39 times higher than the building materials. The gamma exposure of bulk building products was calculated according to IAEA Specific Safety Guide No. SSG-32 and the European Commission Radiation Protection 112 based I-index (EU BSS). It was found that in most cases the I-index without density consideration provides a significant overestimation in excess effective dose.

Contribution to "Deliverable 5: Activity 7: Feasibility and evaluation of OMW by-products recovery"

Report for Deliverable 5: Activity 7 of MEDOLICO Project - Mediterranean Cooperation in the Treatment and Valorisation of Olive Mill Wastewater, EU Programme ENPI-CBCMED I-B/2.1/090

Valorisation of fish-cannery by-products targeting the recovery of ω3 lipids

Over the past years, ω3 fatty acids, namely EPA and DHA, have been recognized as presenting multiple health benefits. Several studies consider fish oil as the most important source of EPA and DHA. Nowadays, canned fish industry plays a very important role in Portuguese economy. However, expansion of this business brought some environmental concerns due to the high amount of by-products generated. Nevertheless, this problem can be substantially reduced by the recovery of some of the by-product components, diminishing its contamination load and simultaneously obtaining value-added products. This study was born from the growing interest in obtaining new sources of lipids rich in ω3 fatty acids, combined with environmental concerns related to the production of wastes from the fish canning industries, rich in these compounds. It thus intends to evaluate lipid extraction methods in liquid by-products from the fish canning industry, aiming to obtain fractions rich in ω3 fatty acids. Additionally, in a biorefining concept, the protein content of the remaining aqueous fractions was also quantified.

Drinking water disinfection by-products, genetic polymorphisms, and birth outcomes in a european mother-child cohort study

International audience

Development of methods for the determination of cadmium and thallium in oil shale by-products with graphite furnace atomic absorption spectrometry using direct analysis.

2014

Demi-glace-kastikepohjan valmistuksen optimointi ylipainekeittomenetelmälle

Tämän tutkimuksen kirjallisuusosan tavoitteena oli selvittää perinteisen kastikepohjan valmistukseen ja valmistuksen kokonaisvaltaiseen onnistumiseen vaikuttavia seikkoja. Lisäksi käsiteltiin kastikepohjan valmistukseen liittyviä ympäristö- ja energia-asioita, kuten eläinperäisten sivutuotteiden kierrätysmahdollisuuksia. Kokeellisessa osassa tutkimuksen keskeinen lähtökohta oli pyrkiä löytämään ratkaisu ylipainekeittomenetelmään liittyvään kastikepohjan liemiaineksen sameutumisongelmaan. Tutkimuksessa haluttiin löytää syyt sameuden muodostumiseen luiden painekeitossa (max. 1,5 bar). Näin pyrittiin selvittämään keinot sameuden syntymisen estämiseen tai tuotteesta poistamiseen. Ratkaisua etsittiin sekä keittoaika-paine-kombinaatiosta että proteolyyttisen entsyymivalmisteen käytöstä. Tavoitteena oli ulkonäöltään kirkas ja kuiva-ainepitoisuudeltaan mahdollisimman korkea naudanmakuinen demi-glace-kastikepohjaliemi. Liemiaineksista tarkasteltiin kuiva-aine-, kokonaisproteiini- ja sidekudosproteiinipitoisuuksia, pH-arvoja sekä sameutta, ja vertailtiin näitä tuloksia käytettyihin valmistusmenetelmiin ja -olosuhteisiin. Lisäksi otettiin selvää lämmöntalteenoton parantamis-mahdollisuuksista. Tutkimuksessa valmistetun kastikepohjaliemen kuiva-aine koostui pääasiassa proteiineista. Liemen valmistuksessa suuremmalla paineella päästiin hieman nopeammin samoihin kuiva-ainepitoisuuksiin kuin matalammalla paineella. Samoin tapahtui entsyymiä käytettäessä kuin käyttämättä jätettäessä. Tämän tutkimuksen perusteella korkeaa kuiva-ainepitoisuutta tavoiteltaessa kastikepohjaliemen valmistuksessa on valittava korkean sidekudosproteiinin tai sameuden väliltä. Ylipainekeitolla luista saatiin irti lähes pelkästään sidekudosproteiinia, koska luita kuumennettaessa vain kollageeni liukeni veteen muiden proteiinien saostuessa. Lämmöntalteenottojärjestelmien rakentaminen pieneen elintarviketeollisuusyritykseen voi olla kannattamatonta, koska investointikustannuksia ei välttämättä pystytä maksamaan takaisin. Energiatehokkuuden parantaminen pienessä elintarviketeollisuusyrityksessä on haastavaa, mutta kuitenkin mahdollista ammattilaisten tekemien tarkkojen laskelmien ja arviointien avulla.

Vegetarian microcapsules

Disclosed are microcapsules with shells that are not animal by-products and methods for preparing and using such microcapsules.

Poultry offal meal in chicken: Traceability using the technique of carbon (C-13/C-12)- and nitrogen (N-15/N-14)-stable isotopes

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Efeito do sistema de criação sobre o desempenho e rendimento de carcaça de frangos de corte tipo colonial

Foram utilizados 1600 pintos de corte de um dia de idade, distribuídos em delineamento, em blocos ao acaso, com esquema fatorial 4×2 (quatro linhagens, sendo uma delas comercial (Ross-308) e as demais específicas para a produção colonial (Caipirinha, Pescoço Pelado e Paraíso Pedrês) e dois sistemas de criação (confinado e com acesso a piquete), com quatro repetições de 50 aves cada. A ração não continha promotores químicos de crescimento e produtos de origem animal. Avaliaram-se o ganho de peso, o consumo de ração, a conversão alimentar, a mortalidade e os rendimentos de carcaça e das partes (peito, pernas, asas e dorso) aos 56, 63, 70, 77 e 84 dias de idade. O comprimento e a porcentagem (em relação ao peso vivo) dos intestinos e o peso e a porcentagem (em relação ao peso vivo) do fígado, moela e pâncreas foram avaliados aos 84 dias de idade. Houve efeito (P<0,05) da linhagem para as características de desempenho e da linhagem e do sexo para rendimentos da carcaça e das partes, assim como para as características do sistema digestório (P<0,05). O sistema de criação não influenciou as características avaliadas.

Efeito do sistema de criação sobre o desempenho e qualidade da carne de frangos de corte tipo colonial e industrial

Pós-graduação em Zootecnia - FMVZ

Turnover isotópico do carbono em tecidos corporais de suínos: músculos, fígado, gordura abdominal, plasma, casco e costela

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)