stdClass Object
(
    [id] => 13249
    [paper_index] => 202406-02-017210
    [title] => SEPARATION & IDENTIFICATION OF BINARY ORGANIC MIXTURE BY USING SYSTEMATIC QUALITATIVE ANALYSIS APPROVAL
    [description] => 
    [author] => Dnyaneshwar Dhondiba Dandale, Yogiraj Muley ,Vaishnavi Dalvi
    [googlescholar] => 
    [doi] => 
    [year] => 2024
    [month] => June
    [volume] => 9
    [issue] => 6
    [file] => 220am_18.EPRA JOURNALS 17210.pdf
    [abstract] => The separation and identification of binary organic mixtures are fundamental processes in organic chemistry, with wide-ranging applications in various industries such as pharmaceuticals, environmental science, and forensics. This project aims to develop a systematic approach for the qualitative analysis of binary organic mixtures, focusing on the separation and identification of individual components based on their unique chemical properties.
The outcomes of this project will contribute to the development of a systematic approach for the qualitative analysis of binary organic mixtures, providing valuable insights into the composition and properties of complex organic systems. The findings will have implications for various fields, including chemical education, analytical chemistry, and industrial applications. Overall, this project will advance our understanding of qualitative analysis techniques and their application in the separation and identification of binary organic mixtures, paving the way for future research and practical applications in organic chemistry.

    [keywords] => 1)	Qualitative Analysis
2)	Organic Chemistry
3)	Binary Mixtures
4)	Separation Techniques
5)	Identification Methods
6)	Systematic Approach
7)	Functional Group Tests
8)	Chromatography
9)	Spectroscopy
10)	Fractional Distillation 

    [doj] => 2024-06-08
    [hit] => 12930
    [status] => y
    [award_status] => P
    [orderr] => 18
    [journal_id] => 2
    [googlesearch_link] => 
    [edit_on] => 
    [is_status] => 1
    [journalname] => EPRA International Journal of Research & Development (IJRD)
    [short_code] => IJSR
    [eissn] =>  2455-7838 (Online)
    [pissn] => - -
    [home_page_wrapper] => images/products_image/2-n.png
)
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