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Merck
CN

P2528

Sigma-Aldrich

>96% (HPLC)

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关于此项目

经验公式(希尔记法):
C14H10
化学文摘社编号:
分子量:
178.23
Beilstein:
1905428
EC 号:
MDL编号:
UNSPSC代码:
12352103
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方案

>96% (HPLC)

沸点

340 °C (lit.)

mp

98-100 °C (lit.)

密度

1.063 g/mL at 25 °C (lit.)

SMILES字符串

c1ccc2c(c1)ccc3ccccc23

InChI

1S/C14H10/c1-3-7-13-11(5-1)9-10-12-6-2-4-8-14(12)13/h1-10H

InChI key

YNPNZTXNASCQKK-UHFFFAOYSA-N

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象形图

Exclamation markEnvironment

警示用语:

Warning

危险声明

危险分类

Acute Tox. 4 Oral - Aquatic Acute 1 - Aquatic Chronic 1

储存分类代码

11 - Combustible Solids

WGK

WGK 2

闪点(°F)

Not applicable

闪点(°C)

Not applicable

法规信息

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历史批次信息供参考:

分析证书(COA)

Lot/Batch Number

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Kunal Roy et al.
European journal of medicinal chemistry, 44(5), 1941-1951 (2008-12-27)
A series of naphthalene and non-naphthalene derivatives (n=42) having cytochrome P450 2A6 and 2A5 inhibitory activities, reported by Rahnasto et al., were subjected to QSAR and QAAR studies. The analyses were performed using electronic, spatial, shape and thermodynamic descriptors to
Minna Rahnasto et al.
Journal of medicinal chemistry, 48(2), 440-449 (2005-01-22)
The purpose of this study was to develop screening and in silico modeling methods to obtain accurate information on the active center of CYP2A6, a nicotine oxidizing enzyme. The inhibitory potencies of 26 naphthalene and 16 non-naphthalene derivatives were determined
Edwin A Pena et al.
Environmental toxicology and chemistry, 34(9), 1946-1958 (2015-04-14)
Raw menhaden fish oil was developed for biomonitoring polycyclic aromatic hydrocarbons (PAHs) using fluorescence spectroscopy. Menhaden (Genus Brevoortia) were collected in 2010 and/or 2011 from Delaware Bay, New Jersey, USA; James River, Virginia, USA; Vermillion Bay, Louisiana, USA (VBLA); and
A A Toropov et al.
European journal of medicinal chemistry, 43(4), 714-740 (2007-07-17)
Simplified molecular input line entry system (SMILES) has been utilized in constructing quantitative structure-property relationships (QSPR) for octanol/water partition coefficient of vitamins and organic compounds of different classes by optimal descriptors. Statistical characteristics of the best model (vitamins) are the

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