An overview of hazard and risk assessment of the OECD high production volume chemical category—Long chain alcohols [C6–C22] (LCOH),

Sanderson, Hans; Belanger, Scott E.; Fisk, Peter; Schäfers, Christoph; Veenstra, G. E.; Nielsen, Allen M.; Kasai, Yutaka; Willing, Andreas; Dyer, Scott D.; Stanton, Kathleen; Sedlak, Richard

doi:10.1016/j.ecoenv.2008.10.006

Cited by 18 publications

(10 citation statements)

References 14 publications

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“…*One value is estimated, all others are measured (from SIAR 2002, 2006).Sources: Sanderson et al (2009); Fisk et al (2009); OECD (2002, 2006); Estimation Program Interface for Windows (EPIWIN) (Suite v. 4.1) software.…”

Section: Surfactant Overviewmentioning

confidence: 99%

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Environmental Safety of the Use of Major Surfactant Classes in North America

Cowan-Ellsberry¹,

Belanger

Dorn

et al. 2014

Critical Reviews in Environmental Science and Technology

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156

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This paper brings together over 250 published and unpublished studies on the environmental properties, fate, and toxicity of the four major, high-volume surfactant classes and relevant feedstocks. The surfactants and feedstocks covered include alcohol sulfate or alcohol sulfate (AS), alcohol ethoxysulfate (AES), linear alkylbenzene sulfonate (LAS), alcohol ethoxylate (AE), and long-chain alcohol (LCOH). These chemicals are used in a wide range of personal care and cleaning products. To date, this is the most comprehensive report on these substance's chemical structures, use, and volume information, physical/chemical properties, environmental fate properties such as biodegradation and sorption, monitoring studies through sewers, wastewater treatment plants and eventual release to the environment, aquatic and sediment toxicity, and bioaccumulation information. These data are used to illustrate the process for conducting both prospective and retrospective risk assessments for large-volume chemicals and categories of chemicals with wide dispersive use. Prospective risk assessments of AS, AES, AE, LAS, and LCOH demonstrate that these substances, although used in very high volume and widely released to the aquatic environment, have no adverse impact on the aquatic or sediment environments at current levels of use. The retrospective risk assessments of these same substances have clearly demonstrated that the conclusions of the prospective risk assessments are valid and confirm that these substances do not pose a risk to the aquatic or sediment environments. This paper also highlights the many years of research that the surfactant and cleaning products industry has supported, as part of their environmental sustainability commitment, to improve environmental tools, approaches, and develop innovative methods appropriate to address environmental properties of personal care and cleaning product chemicals, many of which have become approved international standard methods.

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Section: Surfactant Overviewmentioning

confidence: 99%

“…Sources: Sanderson et al (2009); Fisk et al (2009); OECD (2002, 2006); Estimation Program Interface for Windows (EPIWIN) (Suite v. 4.1) software.…”

Section: Surfactant Overviewmentioning

confidence: 99%

Environmental Safety of the Use of Major Surfactant Classes in North America

Cowan-Ellsberry¹,

Belanger

Dorn

et al. 2014

Critical Reviews in Environmental Science and Technology

Self Cite

156

View full text Add to dashboard Cite

show abstract

“…A total of 62 classes of organic chemicals were represented, of which 30 classes contained only 1 or 2 unique chemicals. The neutral organic class dominated the distribution with 106 chemicals, followed by esters (39), phenols (37), aliphatic amines (31), and amides (27). Collectively, 31 surfactants in 3 classes based on charge were included in the database, reflecting Procter & Gamble's focus on high-volume cleaning product ingredients.…”

Section: Resultsmentioning

confidence: 99%

“…Neutral organics were the single largest chemical class, which is important because this class also is the largest in commerce. It has been estimated that over 80% of the volume of chemicals in international commerce are neutral organics by production volume . Approximately half of the chemical classes covered (62) were represented by only 1 or 2 individual chemicals.…”

Section: Discussionmentioning

confidence: 99%

Development of algal interspecies correlation estimation models for chemical hazard assessment

Brill

Belanger

Chaney

et al. 2016

Enviro Toxic and Chemistry

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Web-based Interspecies Correlation Estimation (ICE) is an application developed to predict the acute toxicity of a chemical from 1 species to another taxon. Web-ICE models use the acute toxicity value for a surrogate species to predict effect values for other species, thus potentially filling in data gaps for a variety of environmental assessment purposes. Web-ICE has historically been dominated by aquatic and terrestrial animal prediction models. Web-ICE models for algal species were essentially absent and are addressed in the present study. A compilation of public and private sector-held algal toxicity data were compiled and reviewed for quality based on relevant aspects of individual studies. Interspecies correlations were constructed from the most commonly tested algal genera for a broad spectrum of chemicals. The ICE regressions were developed based on acute 72-h and 96-h endpoint values involving 1647 unique studies on 476 unique chemicals encompassing 40 genera and 70 species of green, blue-green, and diatom algae. Acceptance criteria for algal ICE models were established prior to evaluation of individual models and included a minimum sample size of 3, a statistically significant regression slope, and a slope estimation parameter ≥0.65. A total of 186 ICE models were possible at the genus level, with 21 meeting quality criteria; and 264 ICE models were developed at the species level, with 32 meeting quality criteria. Algal ICE models will have broad utility in screening environmental hazard assessments, data gap filling in certain regulatory scenarios, and as supplemental information to derive species sensitivity distributions. Environ Toxicol Chem 2016;35:2368-2378. Published 2016 Wiley Periodicals Inc. on behalf of SETAC. This article is a US government work and, as such, is in the public domain in the United States of America.

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“…there are an increasing number of examples of this approach including Fabjan et al, (2006); Sanderson et al, (2009);Veenstra et al, (2009);Walker and Printup (2008).…”

Section: Methods To Form Local Models Through the Development Of Chemmentioning

confidence: 99%

Formation of mechanistic categories and local models to facilitate the prediction of toxicity

Cronin

2011

ALTEX

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An overview of hazard and risk assessment of the OECD high production volume chemical category—Long chain alcohols [C6–C22] (LCOH),

Cited by 18 publications

References 14 publications

Environmental Safety of the Use of Major Surfactant Classes in North America

Environmental Safety of the Use of Major Surfactant Classes in North America

Development of algal interspecies correlation estimation models for chemical hazard assessment

Formation of mechanistic categories and local models to facilitate the prediction of toxicity

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