Quantitative estimation of ethanol content in eribulin mesylate injection using headspace gas chromatographic with flame ionization detector [HS-GC-FID]
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2024.15.2.11Keywords:
Ethanol content, HS-GC, Eribulin mesylate injection, ICH guidelines, Validation.Dimensions Badge
Issue
Section
License
Copyright (c) 2024 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
A specific HS-GC method has been developed, optimized, and validated for the quantitative estimation of ethanol content in eribulin mesylate injection. Chromatographic separation was achieved on DB-624 column (30 m x 0.32 mm, 1.8 μm), consisting of 6% cyanopropyl and 94% polydimethylsiloxane as stationary phase and passing nitrogen carrier gas. The performance of the method was assessed by evaluating the specificity, linearity, precision, and accuracy of experiments. The correlation coefficient value of the linearity experiment was 0.9999. The average recoveries for the accuracy were in the range of 98.7 to 102.4%. The results proved that the method is suitable for the quantitative estimation of ethanol content in eribulin mesylate injection.Abstract
How to Cite
Downloads
Similar Articles
- Raghvendra, Tulika Saxena, Saurabh Verma, Rashi Saxena, Smita Dron, Shilpi Singh, Combination of financial literacy, strategic marketing and effective human resource for sustainable household wealth development , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Shriram N. Kargaonkar, Sushma Pradeep Chalke, Sunil Mahajan, Statistical Modeling of Consumer Preferences for Eco-friendly Digital Products: A Data-driven Approach Toward Sustainable Consumption in India , The Scientific Temper: Vol. 16 No. 10 (2025): The Scientific Temper
- Rashmi Chandra, Afroz Alam, Phytochemical Analysis Using X-ray Diffraction Spectroscopy (XRD) and GC-MS Analysis of Bioactive Compounds in Cucumis sativus L. (Angiosperms; Cucurbitaceae) , The Scientific Temper: Vol. 13 No. 01 (2022): The Scientific Temper
- Bhuvaneshwarri Ilango, A machine translation model for abstractive text summarization based on natural language processing , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- M. Ragul, A. Aloysius, V. Arul Kumar, Enhancing IoT blockchain scalability through the eepos consensus algorithm , The Scientific Temper: Vol. 16 No. 02 (2025): The Scientific Temper
- Sony Kumari, Prashant Kumar, HYDROBIOLOGY AND PHYTOPLANKTON POPULATION IN CERTAIN PONDS OF NORTH BIHAR , The Scientific Temper: Vol. 9 No. 1&2 (2018): The Scientific Temper
- Mallamma V. Reddy, Sachhidanand Sidramappa, Digitization and Recognition of Kannada Inscription Dynasty , The Scientific Temper: Vol. 16 No. 10 (2025): The Scientific Temper
- Karthik Gangadhar, Prem Kumar N, Neuroprotective activity of alcoholic extract of Operculina turpethum roots in aluminum chloride-induced Alzheimer’s disease in rats , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Dimpal Kumari, EFFECT OF FUNGAL INFECTIONS ON NUTRITIONAL VALUE OF PAPAYA FRUITS , The Scientific Temper: Vol. 9 No. 1&2 (2018): The Scientific Temper
- Priya Sharma, Jyoti Rana, Understanding Customer Awareness and effectiveness of Social Media Marketing in Banks , The Scientific Temper: Vol. 16 No. 09 (2025): The Scientific Temper
You may also start an advanced similarity search for this article.

