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91911-40-9

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91911-40-9 Usage

Check Digit Verification of cas no

The CAS Registry Mumber 91911-40-9 includes 8 digits separated into 3 groups by hyphens. The first part of the number,starting from the left, has 5 digits, 9,1,9,1 and 1 respectively; the second part has 2 digits, 4 and 0 respectively.
Calculate Digit Verification of CAS Registry Number 91911-40:
(7*9)+(6*1)+(5*9)+(4*1)+(3*1)+(2*4)+(1*0)=129
129 % 10 = 9
So 91911-40-9 is a valid CAS Registry Number.

91911-40-9Relevant academic research and scientific papers

Diastereo- and enantioselective propargylation of benzofuranones catalyzed by pybox-copper complex

Zhao, Long,Huang, Guanxin,Guo, Beibei,Xu, Lijun,Chen, Jie,Cao, Weiguo,Zhao, Gang,Wu, Xiaoyu

supporting information, p. 5584 - 5587 (2015/02/19)

Diastereo- and enantioselective preparation of 2,2-disubstituted benzofuran-3(2H)-one has been realized by a pybox-copper catalyzed reaction between 2-substituted benzofuran-3(2H)-one and propargyl acetate. The utility of this method was demonstrated by further transformation of the terminal alkyne into a methyl ketone without loss of enantiomeric purity.

Synthesis, antibacterial activity, and quantitative structure-activity relationships of new (Z)-2-(nitroimidazolylmethylene)-3(2 H)-benzofuranone derivatives

Hadj-esfandiari, Narges,Navidpour, Latifeh,Shadnia, Hooman,Amini, Mohsen,Samadi, Nasrin,Faramarzi, Mohammad Ali,Shafiee, Abbas

, p. 6354 - 6363 (2008/09/21)

A new series of (Z)-2-(1-methyl-5-nitroimidazole-2-ylmethylene)-3(2 H)-benzofuranones (11a-p) and (Z)-2-(1-methyl-4-nitroimidazole-5-ylmethylene)-3(2 H)-benzofuranones (12a-m) were synthesized and assayed for their antibacterial activity against Gram-positive and Gram-negative bacteria. Most of the 5-nitroimidazole analogues (11a-p) showed a remarkable inhibition of a wide spectrum of Gram-positive bacteria (Staphylococcus aureus, Streptococcus epidermidis, MRSA, and Bacillus subtilis) and Gram-negative Klebsiella pneumoniae, whereas 4-nitroimidazole analogues (12a-m) were not effective against selected bacteria. The quantitative structure-activity relationship investigations were applied to find out the correlation between the experimentally evaluated activities with various parameters of the compounds studied. The QSAR models built in this work had reasonable predictive power and could be explained by the observed trends in activities.

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