Synthesis of 2-Methylheptadecane and 14-Methylpentadecan-3-one

1994 ◽  
Vol 59 (3) ◽  
pp. 721-724 ◽  
Author(s):  
Jasvinder Singh ◽  
Ajay K. Arora ◽  
Amandeep Kaur ◽  
Goverdhan L. Kad

2-Methylheptadecane (I) is the sex pheromone of the family Arctiidae (tiger moth) and was isolated by Roelof and Carde and assigned structure I on the basis of spectral data. Haque et al. isolated a granular white solid (m.p. 80 °C) from the ether extract of dried and powdered plant of Parthenium hysterophorous L. (Compositae) and proposed its structure, 14-methylpentadecan-3-one (II) on the basis of spectroscopic data. We report herein a short and facile synthesis of these compounds.

Jurnal Kimia ◽  
2020 ◽  
pp. 89
Author(s):  
D. G. Katja ◽  
S. Salam ◽  
. Nurlelasari ◽  
D. Harneti ◽  
R. Maharani ◽  
...  

Two dammarane-type triterpenoids, cabraleadiol (1) and cabraleahydroxylactone (2), have been isolated from n-hexane extract of the stembark of  Chisocheton pentandrus (Meliaceae). The structure of compounds 1 and 2 were determined by spectroscopic data mainly NMR and mass as well as by comparing with previously reported spectral data. Compounds 1 and 2 were reported for the first time from Chisocheton pentandrus.   Keywords:   Cabraleadiol, Cabraleahydroxylactone, Chisocheton pentandrus, Meliaceae.


2019 ◽  
Vol 34 (1) ◽  
pp. 1-9 ◽  
Author(s):  
M. Nashir Uddin ◽  
Sohan Ahmed ◽  
Swapan Kumer Ray ◽  
M. Saiful Islam ◽  
Ariful Hai Quadery ◽  
...  

Abstract In this investigation, a nondestructive technique has been developed for determining chemical composition of jute fiber by chemometric modeling with pretreated FT-NIR spectroscopic data. The chemical composition of jute fibers in wet chemical method were, 58 to 61.80 % α-cellulose, 13.0 to 21.90 % lignin, 9.89 to 16.8 % pentosan and 79.02 to 88.33 % holocellulose. FT-NIR spectral data from range 9000–4000 cm−1 of all jute samples were collected from the instrument. Spectral data of jute samples were pretreated with second order derivatives (SOD), standard normal variate (SNV) techniques and both together were used before calibration. Two chemometric calibration techniques: partial least square regression (PLSR) and artificial neural network (ANN) were assessed for predicting chemical compositions of Jute fibers. Result shows that prediction efficiency ({\text{R}^{2}}) of ANN varies from 72–99 % for calibration, validation and test datasets. However, by PLSR, {\text{R}^{2}} are much higher and consistent than those by earlier one. For α-cellulose, lignin, pentosan and holocellulose {\text{R}^{2}} values hover around 95–99 %. Thereby, a non-destructive, simple and cost effective novel method is being proposed to determine chemical compositions of jute with pretreated FT-NIR spectral data and chemometric calibration techniques.


1980 ◽  
Vol 44 (9) ◽  
pp. 2231-2232 ◽  
Author(s):  
Yoshinobu NAOSHIMA ◽  
Takao YAMAMOTO ◽  
Shoji WAKABAYASHI ◽  
Shûichi HAYASHI

2012 ◽  
Vol 48 (1) ◽  
pp. 103-105 ◽  
Author(s):  
Jiu-ming Li ◽  
Jian-ping Yong ◽  
Feng-lan Huang ◽  
Shu-zhen Bai

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