733342
9-Fluorenyl methacrylate
97%
Synonym(s):
9-FMA, FMA
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All Photos(1)
About This Item
Empirical Formula (Hill Notation):
C17H14O2
CAS Number:
Molecular Weight:
250.29
MDL number:
UNSPSC Code:
12162002
PubChem Substance ID:
NACRES:
NA.23
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Assay
97%
form
solid
mp
60-65 °C
storage temp.
2-8°C
SMILES string
CC(=C)C(=O)OC1c2ccccc2-c3ccccc13
InChI
1S/C17H14O2/c1-11(2)17(18)19-16-14-9-5-3-7-12(14)13-8-4-6-10-15(13)16/h3-10,16H,1H2,2H3
InChI key
IFAFXDPXPSZLKZ-UHFFFAOYSA-N
Signal Word
Warning
Hazard Statements
Precautionary Statements
Hazard Classifications
Aquatic Acute 1 - Aquatic Chronic 1
Storage Class Code
13 - Non Combustible Solids
WGK
WGK 3
Flash Point(F)
Not applicable
Flash Point(C)
Not applicable
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Targeted drug delivery has long been extensively researched since drug delivery and release at the diseased site with minimum dosage realizes the effective therapy without adverse side effects. In this work, to achieve enhanced intracellular uptake of anticancer drug carriers
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Biomedical ontologies often reuse content (i.e., classes and properties) from other ontologies. Content reuse enables a consistent representation of a domain and reusing content can save an ontology author significant time and effort. Prior studies have investigated the existence of
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The adaptive significance of discontinuous gas exchange cycles (DGC) in insects is contentious. Based on observations of DGC occurrence in insects of typically large brain size and often socially-complex life history, and spontaneous DGC in decapitated insects, the neural hypothesis
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Concentration and purification of ethanol and other biofuels from fermentations are energy-intensive processes, with amplified costs at smaller scales. To circumvent the need for these processes, and to potentially reduce transportation costs as well, we have previously investigated bio-hybrid fuel
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IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, 26(1), 125-134 (2017-09-28)
The Fugl-Meyer assessment (FMA) is the most popular instrument for evaluating upper extremity motor function in stroke patients. However, it is a labor-intensive and time-consuming method. This paper proposes a novel automated FMA system to overcome these limitations of the
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