Ecotoxicological assessment of nanoparticle-containing acrylic copolymer dispersions in fairy shrimp and zebrafish embryos

The purpose of the work is to study the effect of styrene-acrylic polymer coatings on the change in physical, mechanical and hygienic properties of cotton fabric. Aqueous dispersions of styrene-acrylic polymers (Lacrytex 640, Akratam AS 02.1, Tubifast AS 4010) were selected as the object of study. The processing of cotton fabric was carried out by the method of impregnation with varying a concentration of the studied polymers in finishing bath from 50 g/l to 150 g/l, followed by drying and heat setting. Standardized methods for studying the properties of textile materials were applied. The effect of polymer coatings on the physical and mechanical properties of cotton fabric was evaluated by the indicators of weight gain, thickness and rigidity. The hygienic properties of treated cotton fabric were characterized by hygroscopicity and breathability. The paper presents the results of a study of the dependence of physical, mechanical and hygienic properties of cotton fabric on the type and concentration of styrene-acrylic dispersions used. According to the results of the experiment, it was found that the acrylic copolymer Lacrytex 640 increases the elastic properties of treated fabric in the entire concentration range studied. It was determined that the greatest decrease in air permeability is typical for fabric samples coated on the basis of Akratam AS 02.1 dispersion. The hygroscopicity of cotton textile material with an increase in a concentration of the studied styrene-acrylic polymer dispersions from 50 g/l to 100 g/l decreases slightly (by 2%). It is proved that the styrene-acrylic copolymer Tubifast AS 4010 due to the formation of highly elastic film provides a soft handle and high hygienic properties of cotton fabric. The obtained experimental results are of practical value in the development of new finishing compositions for textile materials.

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Generating accurate in silico predictions of acute aquatic toxicity for a range of organic chemicals: Towards similarity-based machine learning methods

Chemosphere ◽

10.1016/j.chemosphere.2021.130681 ◽

2021 ◽

pp. 130681

Author(s):

Agnieszka Gajewicz-Skretna ◽

Ayako Furuhama ◽

Hiroshi Yamamoto ◽

Noriyuki Suzuki

Keyword(s):

Machine Learning ◽

In Silico ◽

Aquatic Toxicity ◽

Organic Chemicals ◽

Learning Methods ◽

Machine Learning Methods ◽

Acute Aquatic Toxicity ◽

In Silico Predictions

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Validation and extension of a similarity-based approach for prediction of acute aquatic toxicity towards Daphnia magna

SAR and QSAR in Environmental Research ◽

10.1080/1062936x.2014.977818 ◽

2014 ◽

Vol 25 (12) ◽

pp. 1013-1036 ◽

Cited By ~ 11

Author(s):

M. Cassotti ◽

V. Consonni ◽

A. Mauri ◽

D. Ballabio

Keyword(s):

Daphnia Magna ◽

Aquatic Toxicity ◽

Acute Aquatic Toxicity

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Predicting Acute Aquatic Toxicity Towards Fathead Minnow (Pimephales Promelas) Using Neuro-Fuzzy Inference System (ANFIS)

2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE) ◽

10.1109/icitee49829.2020.9271739 ◽

2020 ◽

Author(s):

Kate Michelle Y. Acosta ◽

Renann G. Baldovino

Keyword(s):

Fuzzy Inference System ◽

Fathead Minnow ◽

Fuzzy Inference ◽

Aquatic Toxicity ◽

Pimephales Promelas ◽

Inference System ◽

Neuro Fuzzy ◽

Acute Aquatic Toxicity

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Identifying and designing chemicals with minimal acute aquatic toxicity

Proceedings of the National Academy of Sciences ◽

10.1073/pnas.1314991111 ◽

2014 ◽

Vol 112 (20) ◽

pp. 6289-6294 ◽

Cited By ~ 47

Author(s):

Jakub Kostal ◽

Adelina Voutchkova-Kostal ◽

Paul T. Anastas ◽

Julie Beth Zimmerman

Keyword(s):

Human Health ◽

Industrial Ecology ◽

Aquatic Toxicity ◽

Rapid Assessment ◽

Chemical Properties ◽

Design Guidelines ◽

Synthetic Chemicals ◽

Acute Aquatic Toxicity ◽

Stocks And Flows ◽

Inherent Nature

Industrial ecology has revolutionized our understanding of material stocks and flows in our economy and society. For this important discipline to have even deeper impact, we must understand the inherent nature of these materials in terms of human health and the environment. This paper focuses on methods to design synthetic chemicals to reduce their intrinsic ability to cause adverse consequence to the biosphere. Advances in the fields of computational chemistry and molecular toxicology in recent decades allow the development of predictive models that inform the design of molecules with reduced potential to be toxic to humans or the environment. The approach presented herein builds on the important work in quantitative structure–activity relationships by linking toxicological and chemical mechanistic insights to the identification of critical physical–chemical properties needed to be modified. This in silico approach yields design guidelines using boundary values for physiochemical properties. Acute aquatic toxicity serves as a model endpoint in this study. Defining value ranges for properties related to bioavailability and reactivity eliminates 99% of the chemicals in the highest concern for acute aquatic toxicity category. This approach and its future implementations are expected to yield very powerful tools for life cycle assessment practitioners and molecular designers that allow rapid assessment of multiple environmental and human health endpoints and inform modifications to minimize hazard.

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