UV-Spectrophotometric Method Development and Determination of Suitable Medium for Cholroxazone by Comparing In-Between Three Body Fluids

The study was aimed to create and verify a new, straight-forward, accurate, and specific UV-Spectrophotometric analysis method of chlorzoxazone, by comparing in-between three different types of body fluids, having three different pH, like a) gastric fluid, b) physiological fluid c) intestinal fluid, and to determine the best suitable site for administration also. UV spectrophotometric analysis was carried out by utilizing a Shimadzu UV-visible spectrophotometer. The spectrum of the reference solution was run in the 200–400 nm range in order to figure out the absorption maximum (λmax) of chloroxazone, which was discovered at 232 nm. The standard solution’s absorbance of 5,10,15,20,25,30 and 35 μg/ml was determined the solution of 232 nm against the blank. And then the three plots were compared among themselves. Intestinal fluid, having a pH value of 6.8, was found to be the best option for determining by the UV spectrophotometry method. The drug chlorzoxazone was best soluble in pH 6.8 buffer as compared with pH 7.4 and 1.2 buffers. In the suggested UV visible spectrophotometry, ICH criteria were followed, and the findings and statistical parameters showed that the development technique was sensitive, exact, and easy to use for chlorzoxazone estimation in bulk form.

Institutions

Publication Details

Journal
Asian Journal of Pharmaceutical Analysis
Published
2025-10-08
DOI
https://doi.org/10.52711/2231-5675.2025.00049
Primary Topic
World Wars: History, Literature, and Impact
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

UV-Spectrophotometric Method Development and Determination of Suitable Medium for Cholroxazone by Comparing In-Between Three Body Fluids

Asian Journal of Pharmaceutical Analysis
World Wars: History, Literature, and Impact
article

UV-Spectrophotometric Method Development and Determination of Suitable Medium for Cholroxazone by Comparing In-Between Three Body Fluids

article en

Abstract

The study was aimed to create and verify a new, straight-forward, accurate, and specific UV-Spectrophotometric analysis method of chlorzoxazone, by comparing in-between three different types of body fluids, having three different pH, like a) gastric fluid, b) physiological fluid c) intestinal fluid, and to determine the best suitable site for administration also. UV spectrophotometric analysis was carried out by utilizing a Shimadzu UV-visible spectrophotometer. The spectrum of the reference solution was run in the 200–400 nm range in order to figure out the absorption maximum (λmax) of chloroxazone, which was discovered at 232 nm. The standard solution’s absorbance of 5,10,15,20,25,30 and 35 μg/ml was determined the solution of 232 nm against the blank. And then the three plots were compared among themselves. Intestinal fluid, having a pH value of 6.8, was found to be the best option for determining by the UV spectrophotometry method. The drug chlorzoxazone was best soluble in pH 6.8 buffer as compared with pH 7.4 and 1.2 buffers. In the suggested UV visible spectrophotometry, ICH criteria were followed, and the findings and statistical parameters showed that the development technique was sensitive, exact, and easy to use for chlorzoxazone estimation in bulk form.

Asian Journal of Pharmaceutical Analysis
Maulana Abul Kalam Azad Institute of Asian Studies (IN), Maulana Abul Kalam Azad University of Technology, West Bengal (IN)
Openalex Percentile: Top 37%
World Wars: History, Literature, and Impact
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.