Home Cart Sign in  
Chemical Structure| 10025-98-6 Chemical Structure| 10025-98-6

Structure of 10025-98-6

Chemical Structure| 10025-98-6

*Storage: {[sel_prStorage]}

*Shipping: {[sel_prShipping]}

,{[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 5-7 days

  • {[ 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
Product Citations

Product Citations

Luo, Shao-Xiong Lennon ; Yuan, Weize ; Xue, Mantian ; Feng, Haosheng ; Bezdek, Mate J. ; Palacios, Tomas , et al.

Abstract: Metal nanoparticles have been widely employed in chem. sensing due to their high reactivity toward various gases. The size of the metal nanoparticles often dictates their reactivity and hence their performance as chemiresistive sensors. Herein, we report that iptycene-containing poly(arylene ether)s (PAEs) have been shown to limit the growth of palladium nanoparticles (Pd NPs) and stabilize the Pd NPs dispersion. These porous PAEs also facilitate the efficient transport of analytes. Single-walled carbon nanotube (SWCNT)-based chemiresistors and graphene field-effect transistors (GFETs) using these PAE-supported small Pd NPs are sensitive, selective, and robust sensory materials for hydrogen gas under ambient conditions. Generalizable strategies including presorting SWCNTs with pentiptycene-containing poly(p-phenylene ethynylene)s (PPEs) and thermal annealing demonstrated significant improvements in the chemiresistive performance. The polymer:NP colloids produced in this study are readily synthesized and solution processable, and these methods are of general utility.

Keywords: hydrogen ; gas sensing ; palladium nanoparticles ; carbon nanomaterials ; porous polymers

Purchased from AmBeed: ;

Alternative Products

Product Details of [ 10025-98-6 ]

CAS No. :10025-98-6
Formula : Cl4K2Pd
M.W : 326.43
SMILES Code : Cl[Pd-2](Cl)(Cl)Cl.[K+].[K+]
MDL No. :MFCD00011373
InChI Key :LGCKLDWLSVFMGL-UHFFFAOYSA-J
Pubchem ID :61438

Safety of [ 10025-98-6 ]

GHS Pictogram:
Signal Word:Warning
Hazard Statements:H315-H319-H335
Precautionary Statements:P261-P264-P271-P280-P302+P352-P304+P340+P312-P305+P351+P338-P332+P313-P337+P313-P362-P403+P233-P405-P501

Computational Chemistry of [ 10025-98-6 ] Show Less

Physicochemical Properties

Num. heavy atoms 7
Num. arom. heavy atoms 0
Fraction Csp3 None
Num. rotatable bonds 0
Num. H-bond acceptors None
Num. H-bond donors None
Molar Refractivity 23.41
TPSA ?

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

0.0 Ų

Lipophilicity

Log Po/w (iLOGP)?

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

None
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

None
Log Po/w (WLOGP)?

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

None
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.

None
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

None
Consensus Log Po/w?

Consensus Log Po/w: Average of all five predictions

None

Water Solubility

Log S (ESOL):?

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

None
Solubility None mg/ml ; None mol/l
Class?

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

None
Log S (Ali)?

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

None
Solubility None mg/ml ; None mol/l
Class?

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

None
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

None
Solubility None mg/ml ; None mol/l
Class?

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

None

Pharmacokinetics

GI absorption?

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

None
BBB permeant?

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

None
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

None
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

None
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

None
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

None
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

None
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

None
Log Kp (skin permeation)?

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

None 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

None
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

None
Egan?

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

None
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

None
Bioavailability Score?

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

None

Medicinal Chemistry

PAINS?

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

None alert
Brenk?

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

None 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
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)

None

Application In Synthesis of [ 10025-98-6 ]

* All experimental methods are cited from the reference, please refer to the original source for details. We do not guarantee the accuracy of the content in the reference.

  • Downstream synthetic route of [ 10025-98-6 ]

[ 10025-98-6 ] Synthesis Path-Downstream   1~9

  • 1
  • [ 23945-44-0 ]
  • [ 10025-98-6 ]
  • [ 136371-42-1 ]
  • 2
  • [ 23945-44-0 ]
  • [ 10025-98-6 ]
  • Pd(2+)*2Cl(1-)*2C5H4N2O4=PdCl2(C5H4N2O4)2 [ No CAS ]
  • 5
  • [ 10025-98-6 ]
  • [ 79286-79-6 ]
  • PdCl2(C4H10N2) [ No CAS ]
  • 6
  • [ 67-56-1 ]
  • [ 10025-98-6 ]
  • [ 547-32-0 ]
  • [ 1096051-55-6 ]
  • 7
  • [ 73-70-1 ]
  • [ 10025-98-6 ]
  • [ 81521-20-2 ]
  • 8
  • [ 10025-98-6 ]
  • [ 1000340-39-5 ]
  • C14H8Br2Cl4N4Pd [ No CAS ]
YieldReaction ConditionsOperation in experiment
In ethanol; water; at 44.84℃; for 48h; General procedure: K2PdCl4 and the seven halogeno-derivatives of 7-azaindole(3Cl7AIH, 3Br7AIH, 4Cl7AIH, 4Br7AIH, 5Br7AIH, 3Br4Cl7AIH and5Br3Cl7AIH) were purchased from Sigma-Aldrich.In the syntheses of trans-[PdCl2(L)2] we followed the procedure described earlier for obtaining trans-[PdCl2(7AIH)2] [24] and trans-[PdCl2(7AI3CAH)2] [25]. A hot aqueous solution (10 cm3) of K2PdCl4(0.5 mmol) was mixed with the ethanol solution of the appropriateligand (1.0 mmol, 20 cm3) and stirred at 318 K for 48 h. The obtained pale yellow solids were filtered off,washed with ethanol andthen dried. The results of the elemental analysis are collected in Table 1S in the Supplementary Data.
  • 9
  • [ 30709-67-2 ]
  • [ 10025-98-6 ]
  • [(Pd(2-amino-5-methyl-4-phenylthiazole)2)]Cl2 [ No CAS ]
 

Historical Records

Categories