A reliable tool for detecting 7‐dehydrocholesterol and cholesterol in human plasma and its use in diagnosis of Smith–Lemli–Opitz syndrome.
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| Title: | A reliable tool for detecting 7‐dehydrocholesterol and cholesterol in human plasma and its use in diagnosis of Smith–Lemli–Opitz syndrome. |
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| Authors: | Luo, Yitao1 (AUTHOR), Liu, Zhengyuan2 (AUTHOR), Zeng, Yujie1 (AUTHOR), Zhang, Yuxiao3 (AUTHOR), Luan, Yujing4 (AUTHOR), Ma, Li5 (AUTHOR), Chen, Li6 (AUTHOR), Zou, Lin6 (AUTHOR), Yang, Jingmin7 (AUTHOR), Huang, Zhibin1 (AUTHOR), Rao, Yulan1 (AUTHOR) yulan_rao@fudan.edu.cn, Zhang, Chengqiang8 (AUTHOR) z13869270818@163.com |
| Source: | Journal of Separation Science. Mar2022, Vol. 45 Issue 5, p1080-1093. 14p. |
| Database: | Academic Search Ultimate |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 155662650 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=155662650 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/jssc.202100594 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 1080 Titles: – TitleFull: A reliable tool for detecting 7‐dehydrocholesterol and cholesterol in human plasma and its use in diagnosis of Smith–Lemli–Opitz syndrome. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Luo, Yitao – PersonEntity: Name: NameFull: Liu, Zhengyuan – PersonEntity: Name: NameFull: Zeng, Yujie – PersonEntity: Name: NameFull: Zhang, Yuxiao – PersonEntity: Name: NameFull: Luan, Yujing – PersonEntity: Name: NameFull: Ma, Li – PersonEntity: Name: NameFull: Chen, Li – PersonEntity: Name: NameFull: Zou, Lin – PersonEntity: Name: NameFull: Yang, Jingmin – PersonEntity: Name: NameFull: Huang, Zhibin – PersonEntity: Name: NameFull: Rao, Yulan – PersonEntity: Name: NameFull: Zhang, Chengqiang IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 16159306 Numbering: – Type: volume Value: 45 – Type: issue Value: 5 Titles: – TitleFull: Journal of Separation Science Type: main |
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