Developing an Analytical Method and Validation for Estimation of Residual Solvents in Gliclazide Using Gas Chromatography| Chapter 4 | Challenges and Advances in Pharmaceutical Research Vol. 9

 The current work discusses developing a novel method for estimating residual solvents in gliclazide using gas chromatography and determining its consistency, reliability, and reproducibility through validation. A Gas chromatograph equipped with a flame ionization detector, column DB-624 (60 m x 0.32 mm x 1.8 µm) with Nitrogen as carrier gas was used and the column temperature was 40°C (hold for 15 mins) and increased to 240°C at 20°C per min. According to the protocol, the solutions were made using N-Methyl-2-Pyrrolidone (NMP) diluent and suitably administered in the order specified. System appropriateness, Specificity, Linearity and Range, Accuracy, Precision, Limit of Detection, Limit of Quantitation, Ruggedness and Robustness were the validation parameters examined. Each validation parameter's test data has been compiled and documented. It was discovered that each parameter's results were combined with the specified acceptance criteria. As a result, the established method was regarded as reproducible, reliable, and consistent. The analysis method was determined to be dependable, consistent, and reproducible. It conforms with all parameters examined.

Author(s) Details:

Burhanuddin Madriwala,
Department of Pharmaceutical Chemistry, M.S. Ramaiah University of Applied Sciences, Bengaluru - 560054, Karnataka, India.

Judy Jays,
Department of Pharmaceutical Chemistry, M.S. Ramaiah University of Applied Sciences, Bengaluru - 560054, Karnataka, India.

Please see the link here: https://stm.bookpi.org/CAPR-V9/article/view/8673

Laser Sensing for Monitoring and Elimination of Oil Pollution at Sea| Chapter 9 | Techniques and Innovation in Engineering Research Vol. 2

 

The spectral characteristics of laser-induced fluorescence (LIF) for oil products in various states are covered in this article (solutions in seawater and thin slicks). This study was carried out to assess the effectiveness of LIF in the quantification of bilge water-related ocean pollution and the identification of oil products. It was found that depending on the state of the oil product, the LIF spectral distribution's form changed (pure fuel, slick or solution). The most popular types of heavy and light marine fuels were used to calibrate the LIF technique at solution concentrations, and limit of detection (LoD) values were created for each type. The time dynamics of the solution spectra were studied and time change characteristics were found. To examine the LIF for marine oil pollution, a small-scale LIF sensor for unmanned aerial vehicles (UAVs) is described. The effectiveness of using dispersants to remove oil films from the sea surface and the effects of oil pollution and dispersants in removing oil films on the state of phytoplankton communities can both be studied using the LIF approach, according to experimental evidence.

Author(s) Details:

Oleg Bukin,
Maritime State University named after Admiral G.I. Nevelskoy, Maritime Technopark, 690003 Vladivostok, Russia.

Dmitry Proschenko
Maritime State University named after Admiral G.I. Nevelskoy, Maritime Technopark, 690003 Vladivostok, Russia and Laboratory of Analytical Laser Spectroscopy, Far Eastern Federal University, 690091 Vladivostok, Russia.

Chekhlenok Alexey,
Maritime State University named after Admiral G.I. Nevelskoy, Maritime Technopark, 690003 Vladivostok, Russia.

Denis Korovetskiy,
Maritime State University named after Admiral G.I. Nevelskoy, Maritime Technopark, 690003 Vladivostok, Russia.

Ilya Bukin,
Maritime State University named after Admiral G.I. Nevelskoy, Maritime Technopark, 690003 Vladivostok, Russia.

Viktoria Yurchik,
Maritime State University named after Admiral G.I. Nevelskoy, Maritime Technopark, 690003 Vladivostok, Russia.

Irina Sokolova,
Maritime State University named after Admiral G.I. Nevelskoy, Maritime Technopark,
690003 Vladivostok, Russia.

Andrey Nadezhkin,
Maritime State University named after Admiral G.I. Nevelskoy, Maritime Technopark, 690003 Vladivostok, Russia.

Please see the link here: https://stm.bookpi.org/TAIER-V2/article/view/8277