成人免费xx,国产又黄又湿又刺激不卡网站,成人性视频app菠萝网站,色天天天天

Home Cart Sign in  
Chemical Structure| 38103-06-9 Chemical Structure| 38103-06-9
Chemical Structure| 38103-06-9

*Storage: {[sel_prStorage]}

*Shipping: {[sel_prShipping]}

{[proInfo.proName]}

CAS No.: 38103-06-9

,{[proInfo.pro_purity]}

4.5 *For Research Use Only !

{[proInfo.pro_purity]}
Cat. No.: {[proInfo.prAm]} Purity: {[proInfo.pro_purity]}

Change View

Size Price VIP Price

US Stock

Global Stock

In Stock
{[ item.pr_size ]} Inquiry {[ getRatePrice(item.pr_usd,item.pr_rate,item.mem_rate,item.pr_is_large_size_no_price, item.vip_usd) ]}

US Stock: ship in 0-1 business day
Global Stock: ship in 2 weeks

  • {[ item.pr_size ]}

In Stock

- +

Please Login or Create an Account to: See VIP prices and availability

US Stock: ship in 0-1 business day
Global Stock: ship in 2 weeks

  • 1-2 Day Shipping
  • High Quality
  • Technical Support Online Technical Q&A
Product Citations

Product Citations      Show More

Durso, Michael N ; Sawyer, William J ; Hart, A John ;

Abstract: Manufacturing of high-performance carbon nanotube (CNT)-based polymer composites has long been complicated by the difficulty of infiltrating the nanoporous network presented by continuous CNT materials; this can yield composites with heterogeneities that drastically worsen their mechanical properties. We show the synthesis of CNT-polyetherimide (PEI) composite yarns via in-situ interfacial polymerization (ISIP), which side-steps slow, viscous polymer transport by infiltrating and reacting monomer species in-situ via a rapid and scalable process. By nucleating polymer coatings at the nanoscale, ISIP offers a potential scalable route to producing enhanced yarn for assembly into bulk composites. We demonstrate the ISIP technique on two distinct, industrially-produced CNT yarns, and identify processing parameters that achieve conformal polymer coatings, yielding statistically-significant increases to linear density-specific tensile properties. Using ISIP on pre-densified yarns results in composites with specific stiffness and tenacity of 142 N/tex and 2.2 N/tex, respectively. When ISIP is applied to lightly-processed, porous CNT yarn, the specific stiffness and tenacity reach up to 65.6 N/tex and 0.65 N/tex. The role of interfacial effects, particularly from amorphous carbon, on the composite properties is also explored. Finally, we demonstrate a prototype roll-to- roll ISIP apparatus which can process arbitrary lengths of yarn for continuous composite production.

Purchased from AmBeed:

Chazot, Cecile A. C. ; Thrasher, Carl J. ; Peraire-Bueno, Alexander ; Durso, Michael N. ; Macfarlane, Robert J. ; Hart, A. John

Abstract: Polyetherimides (PEI) are high-performance thermoplastic polymers featuring a high dielec. constant and excellent thermal stability. In particular, PEI thin films are of increasing interest for use in solid-state capacitors and membranes, yet the cost and thickness are limited by conventional synthesis and thermal drawing techniques. Here, a method of synthesizing ultrathin PEI films and coatings is introduced based on interfacial polymerization (IP) of poly(amic acid), followed by thermal imidization. Control of transport, reaction, and precipitation kinetics enables tailoring of PEI film morphol. from a nanometer-scale smooth film to a porous micrometer-scale layer of polymer microparticles. At short reaction times (≈1 min) freestanding films are formed with ≈1μm thickness, which to our knowledge surpass com. state-of-the-art films (3-5μm min. thickness) made by thermal drawing. PEI films synthesized via the IP route have thermal and optical properties on par with conventional PEI. The use of the final PEI is demonstrated in structurally colored films, dielec. layers in capacitors, and show that the IP route can form nanometer-scale coatings on carbon nanotubes. The rapid film formation rate and fine property control are attractive for scale-up, and established methods for roll-to-roll processing can be applied in future work.

Purchased from AmBeed:

Alternative Products

Product Details of [ 38103-06-9 ]

CAS No. :38103-06-9
Formula : C31H20O8
M.W : 520.49
SMILES Code : CC(C)(C1=CC=C(OC2=CC=C3C(=O)OC(=O)C3=C2)C=C1)C1=CC=C(OC2=CC=C3C(=O)OC(=O)C3=C2)C=C1
MDL No. :MFCD00319167
InChI Key :MQAHXEQUBNDFGI-UHFFFAOYSA-N
Pubchem ID :94483

Safety of [ 38103-06-9 ]

GHS Pictogram:
Signal Word:Warning
Hazard Statements:H302-H315-H319-H332-H335
Precautionary Statements:P261-P280-P305+P351+P338

Calculated chemistry of [ 38103-06-9 ] Show Less

Physicochemical Properties

Num. heavy atoms 39
Num. arom. heavy atoms 24
Fraction Csp3 0.1
Num. rotatable bonds 6
Num. H-bond acceptors 8.0
Num. H-bond donors 0.0
Molar Refractivity 137.92
TPSA ?

Topological Polar Surface Area: Calculated from
Ertl P. et al. 2000 J. Med. Chem.

105.2 ?2

Lipophilicity

Log Po/w (iLOGP)?

iLOGP: in-house physics-based method implemented from
Daina A et al. 2014 J. Chem. Inf. Model.

3.54
Log Po/w (XLOGP3)?

XLOGP3: Atomistic and knowledge-based method calculated by
XLOGP program, version 3.2.2, courtesy of CCBG, Shanghai Institute of Organic Chemistry

6.52
Log Po/w (WLOGP)?

WLOGP: Atomistic method implemented from
Wildman SA and Crippen GM. 1999 J. Chem. Inf. Model.

6.22
Log Po/w (MLOGP)?

MLOGP: Topological method implemented from
Moriguchi I. et al. 1992 Chem. Pharm. Bull.
Moriguchi I. et al. 1994 Chem. Pharm. Bull.
Lipinski PA. et al. 2001 Adv. Drug. Deliv. Rev.

4.9
Log Po/w (SILICOS-IT)?

SILICOS-IT: Hybrid fragmental/topological method calculated by
FILTER-IT program, version 1.0.2, courtesy of SILICOS-IT, http://www.silicos-it.com

6.27
Consensus Log Po/w?

Consensus Log Po/w: Average of all five predictions

5.49

Water Solubility

Log S (ESOL):?

ESOL: Topological method implemented from
Delaney JS. 2004 J. Chem. Inf. Model.

-7.23
Solubility 0.0000304 mg/ml ; 0.0000000583 mol/l
Class?

Solubility class: Log S scale
Insoluble < -10 < Poorly < -6 < Moderately < -4 < Soluble < -2 Very < 0 < Highly

Poorly soluble
Log S (Ali)?

Ali: Topological method implemented from
Ali J. et al. 2012 J. Chem. Inf. Model.

-8.53
Solubility 0.00000155 mg/ml ; 0.000000003 mol/l
Class?

Solubility class: Log S scale
Insoluble < -10 < Poorly < -6 < Moderately < -4 < Soluble < -2 Very < 0 < Highly

Poorly soluble
Log S (SILICOS-IT)?

SILICOS-IT: Fragmental method calculated by
FILTER-IT program, version 1.0.2, courtesy of SILICOS-IT, http://www.silicos-it.com

-10.19
Solubility 0.0000000338 mg/ml ; 0.0000000001 mol/l
Class?

Solubility class: Log S scale
Insoluble < -10 < Poorly < -6 < Moderately < -4 < Soluble < -2 Very < 0 < Highly

Insoluble

Pharmacokinetics

GI absorption?

Gatrointestinal absorption: according to the white of the BOILED-Egg

 Low
BBB permeant?

BBB permeation: according to the yolk of the BOILED-Egg

 No
P-gp substrate?

P-glycoprotein substrate: SVM model built on 1033 molecules (training set)
and tested on 415 molecules (test set)
10-fold CV: ACC=0.72 / AUC=0.77
External: ACC=0.88 / AUC=0.94

 No
CYP1A2 inhibitor?

Cytochrome P450 1A2 inhibitor: SVM model built on 9145 molecules (training set)
and tested on 3000 molecules (test set)
10-fold CV: ACC=0.83 / AUC=0.90
External: ACC=0.84 / AUC=0.91

 No
CYP2C19 inhibitor?

Cytochrome P450 2C19 inhibitor: SVM model built on 9272 molecules (training set)
and tested on 3000 molecules (test set)
10-fold CV: ACC=0.80 / AUC=0.86
External: ACC=0.80 / AUC=0.87

 Yes
CYP2C9 inhibitor?

Cytochrome P450 2C9 inhibitor: SVM model built on 5940 molecules (training set)
and tested on 2075 molecules (test set)
10-fold CV: ACC=0.78 / AUC=0.85
External: ACC=0.71 / AUC=0.81

 Yes
CYP2D6 inhibitor?

Cytochrome P450 2D6 inhibitor: SVM model built on 3664 molecules (training set)
and tested on 1068 molecules (test set)
10-fold CV: ACC=0.79 / AUC=0.85
External: ACC=0.81 / AUC=0.87

 No
CYP3A4 inhibitor?

Cytochrome P450 3A4 inhibitor: SVM model built on 7518 molecules (training set)
and tested on 2579 molecules (test set)
10-fold CV: ACC=0.77 / AUC=0.85
External: ACC=0.78 / AUC=0.86

 No
Log Kp (skin permeation)?

Skin permeation: QSPR model implemented from
Potts RO and Guy RH. 1992 Pharm. Res.

-4.85 cm/s

Druglikeness

Lipinski?

Lipinski (Pfizer) filter: implemented from
Lipinski CA. et al. 2001 Adv. Drug Deliv. Rev.
MW ≤ 500
MLOGP ≤ 4.15
N or O ≤ 10
NH or OH ≤ 5

 2.0
Ghose?

Ghose filter: implemented from
Ghose AK. et al. 1999 J. Comb. Chem.
160 ≤ MW ≤ 480
-0.4 ≤ WLOGP ≤ 5.6
40 ≤ MR ≤ 130
20 ≤ atoms ≤ 70

 None
Veber?

Veber (GSK) filter: implemented from
Veber DF. et al. 2002 J. Med. Chem.
Rotatable bonds ≤ 10
TPSA ≤ 140

 0.0
Egan?

Egan (Pharmacia) filter: implemented from
Egan WJ. et al. 2000 J. Med. Chem.
WLOGP ≤ 5.88
TPSA ≤ 131.6

 1.0
Muegge?

Muegge (Bayer) filter: implemented from
Muegge I. et al. 2001 J. Med. Chem.
200 ≤ MW ≤ 600
-2 ≤ XLOGP ≤ 5
TPSA ≤ 150
Num. rings ≤ 7
Num. carbon > 4
Num. heteroatoms > 1
Num. rotatable bonds ≤ 15
H-bond acc. ≤ 10
H-bond don. ≤ 5

 1.0
Bioavailability Score?

Abbott Bioavailability Score: Probability of F > 10% in rat
implemented from
Martin YC. 2005 J. Med. Chem.

0.17

Medicinal Chemistry

PAINS?

Pan Assay Interference Structures: implemented from
Baell JB. & Holloway GA. 2010 J. Med. Chem.

0.0 alert
Brenk?

Structural Alert: implemented from
Brenk R. et al. 2008 ChemMedChem

2.0 alert: heavy_metal
Leadlikeness?

Leadlikeness: implemented from
Teague SJ. 1999 Angew. Chem. Int. Ed.
250 ≤ MW ≤ 350
XLOGP ≤ 3.5
Num. rotatable bonds ≤ 7

 No; 1 violation:MW<2.0
Synthetic accessibility?

Synthetic accessibility score: from 1 (very easy) to 10 (very difficult)
based on 1024 fragmental contributions (FP2) modulated by size and complexity penaties,
trained on 12'782'590 molecules and tested on 40 external molecules (r2 = 0.94)

 3.42
 

Related Products

Historical Records

Technical Information

Categories