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Results: 1 to 20 of 99

1.

Study on the variation rules of the joint effects for multicomponent mixtures containing cyanogenic toxicants and aldehydes based on the transition state theory.

Li W, Tian D, Lin Z, Wang D, Yu H.

J Hazard Mater. 2014 Feb 28;267:98-108. doi: 10.1016/j.jhazmat.2013.12.035. Epub 2013 Dec 26.

PMID:
24418495
[PubMed - in process]
2.

Influence factors of multicomponent mixtures containing reactive chemicals and their joint effects.

Tian D, Lin Z, Yu J, Yin D.

Chemosphere. 2012 Aug;88(8):994-1000. doi: 10.1016/j.chemosphere.2012.03.043. Epub 2012 Apr 12.

PMID:
22503635
[PubMed - indexed for MEDLINE]
3.

Atomic charges of individual reactive chemicals in binary mixtures determine their joint effects: an example of cyanogenic toxicants and aldehydes.

Tian D, Lin Z, Yin D, Zhang Y, Kong D.

Environ Toxicol Chem. 2012 Feb;31(2):270-8. doi: 10.1002/etc.1701. Epub 2011 Dec 21.

PMID:
22105991
[PubMed - indexed for MEDLINE]
4.

Quantitative structure activity relationships (QSAR) for binary mixtures at non-equitoxic ratios based on toxic ratios-effects curves.

Tian D, Lin Z, Yin D.

Dose Response. 2012 Aug 30;11(2):255-69. doi: 10.2203/dose-response.11-042.Lin. Print 2013.

PMID:
23930105
[PubMed]
Free PMC Article
5.

The underlying toxicological mechanism of chemical mixtures: a case study on mixture toxicity of cyanogenic toxicants and aldehydes to Photobacterium phosphoreum.

Tian D, Lin Z, Zhou X, Yin D.

Toxicol Appl Pharmacol. 2013 Oct 15;272(2):551-8. doi: 10.1016/j.taap.2013.06.015. Epub 2013 Jun 26.

PMID:
23811331
[PubMed - indexed for MEDLINE]
6.

Development of QSARs for predicting the joint effects between cyanogenic toxicants and aldehydes.

Lin Z, Yin K, Shi P, Wang L, Yu H.

Chem Res Toxicol. 2003 Oct;16(10):1365-71.

PMID:
14565777
[PubMed - indexed for MEDLINE]
7.

Using molecular docking-based binding energy to predict toxicity of binary mixture with different binding sites.

Yao Z, Lin Z, Wang T, Tian D, Zou X, Gao Y, Yin D.

Chemosphere. 2013 Aug;92(9):1169-76. doi: 10.1016/j.chemosphere.2013.01.081. Epub 2013 Feb 26.

PMID:
23484458
[PubMed - indexed for MEDLINE]
8.

The ratios of individual chemicals in a mixture determine the degree of joint effect: the climax hypothesis.

Lin Z, Ping Z, Kong D, Yin K, Cai Z.

Arch Environ Contam Toxicol. 2005 Jul;49(1):1-8. Epub 2005 Apr 4.

PMID:
15883676
[PubMed - indexed for MEDLINE]
9.

A new effect residual ratio (ERR) method for the validation of the concentration addition and independent action models.

Wang LJ, Liu SS, Zhang J, Li WY.

Environ Sci Pollut Res Int. 2010 Jun;17(5):1080-9. doi: 10.1007/s11356-009-0265-7. Epub 2009 Dec 1.

PMID:
19949878
[PubMed - indexed for MEDLINE]
10.

Molecular-thermodynamic theory of micellization of multicomponent surfactant mixtures: 1. Conventional (pH-Insensitive) surfactants.

Goldsipe A, Blankschtein D.

Langmuir. 2007 May 22;23(11):5942-52. Epub 2007 Apr 20.

PMID:
17444662
[PubMed]
11.

Application of the similarity parameter (λ) to prediction of the joint effects of nonequitoxic mixtures.

Tian D, Lin Z, Ding J, Yin D, Zhang Y.

Arch Environ Contam Toxicol. 2012 Feb;62(2):195-209. doi: 10.1007/s00244-011-9695-6. Epub 2011 Jul 17.

PMID:
21769654
[PubMed - indexed for MEDLINE]
12.

Chemical-chemical interaction between cyanogenic toxicants and aldehydes: a mechanism-based QSAR approach to assess toxicological joint effects.

Lin Z, Wei D, Wang X, Yin K, Zhao D.

SAR QSAR Environ Res. 2004 Apr;15(2):127-38.

PMID:
15199948
[PubMed - indexed for MEDLINE]
13.

Mixture toxicity and its modeling by quantitative structure-activity relationships.

Altenburger R, Nendza M, Schüürmann G.

Environ Toxicol Chem. 2003 Aug;22(8):1900-15. Review.

PMID:
12924589
[PubMed - indexed for MEDLINE]
14.

Can the joint effect of ternary mixtures be predicted from binary mixture toxicity results?

Cedergreen N, Sørensen H, Svendsen C.

Sci Total Environ. 2012 Jun 15;427-428:229-37. doi: 10.1016/j.scitotenv.2012.03.086. Epub 2012 Apr 28.

PMID:
22542295
[PubMed - indexed for MEDLINE]
15.

[Joint toxicity on multi-component mixtures of SDS and substituted aromatic compounds].

Dong YY, Lei BL, Zhang CB, Zhang FJ.

Huan Jing Ke Xue. 2006 Aug;27(8):1643-6. Chinese.

PMID:
17111627
[PubMed - indexed for MEDLINE]
16.

The number of components in a mixture determines whether synergistic and antagonistic or additive toxicity predominate: the funnel hypothesis.

Warne MS, Hawker DW.

Ecotoxicol Environ Saf. 1995 Jun;31(1):23-8.

PMID:
7544261
[PubMed - indexed for MEDLINE]
17.

The Kirkwood-Buff theory of solutions and the local composition of liquid mixtures.

Shulgin IL, Ruckenstein E.

J Phys Chem B. 2006 Jun 29;110(25):12707-13.

PMID:
16800605
[PubMed]
18.

Development of quantitative structure activity relationships in toxicity prediction of complex mixtures.

Yu HX, Lin ZF, Feng JF, Xu TL, Wang LS.

Acta Pharmacol Sin. 2001 Jan;22(1):45-9.

PMID:
11730561
[PubMed - indexed for MEDLINE]
Free Article
19.

JESS, a joint expert speciation system--V: approaching thermodynamic property prediction for multicomponent concentrated aqueous electrolyte solutions.

Rowland D, May PM.

Talanta. 2010 Apr 15;81(1-2):149-55. doi: 10.1016/j.talanta.2009.11.048. Epub 2009 Nov 26.

PMID:
20188901
[PubMed]
20.

An analysis of the combined effects of organic toxicants.

Chen CY, Lu CL.

Sci Total Environ. 2002 Apr 22;289(1-3):123-32.

PMID:
12049388
[PubMed - indexed for MEDLINE]

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