Building confidence in PBK model predictions in the absence of human kinetic data: Benzophenone-4 case study.

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Bibliographic Details
Title:	Building confidence in PBK model predictions in the absence of human kinetic data: Benzophenone-4 case study.
Authors:	Punt A; Unilever, Safety and Environmental Assurance Centre (SEAC), Colworth Science Park, Sharnbrook, United Kingdom., Baltazar MT; Unilever, Safety and Environmental Assurance Centre (SEAC), Colworth Science Park, Sharnbrook, United Kingdom., Nicol B; Unilever, Safety and Environmental Assurance Centre (SEAC), Colworth Science Park, Sharnbrook, United Kingdom., Cable S; Unilever, Safety and Environmental Assurance Centre (SEAC), Colworth Science Park, Sharnbrook, United Kingdom., Hewitt NJ; Cosmetics Europe, Auderghem, Belgium., Cubberley R; Unilever, Safety and Environmental Assurance Centre (SEAC), Colworth Science Park, Sharnbrook, United Kingdom., Spriggs S; Unilever, Safety and Environmental Assurance Centre (SEAC), Colworth Science Park, Sharnbrook, United Kingdom., Dent MP; Unilever, Safety and Environmental Assurance Centre (SEAC), Colworth Science Park, Sharnbrook, United Kingdom., Li H; Unilever, Safety and Environmental Assurance Centre (SEAC), Colworth Science Park, Sharnbrook, United Kingdom.; current affiliation: Certara Predictive Technologies, Certara UK Limited, Sheffield, United Kingdom.
Source:	ALTEX [ALTEX] 2026; Vol. 43 (1), pp. 113-126. Date of Electronic Publication: 2025 Jul 29.
Publication Type:	Journal Article
Journal Info:	Publisher: Spektrum Akademischer Verlag Country of Publication: Germany NLM ID: 100953980 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1868-8551 (Electronic) Linking ISSN: 1868596X NLM ISO Abbreviation: ALTEX Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	1868-8551
DOI:	10.14573/altex.2501211