Quantification of Rutin, an Anti-glycating Drug, in Selected Euphorbia Species by Florescence Spectroscopy and Partial Least Squares Regression Analysis DOI
Maroof Ali, Ajmal Khan, Syed Abdullah Gilani

et al.

Current Analytical Chemistry, Journal Year: 2024, Volume and Issue: 20(2), P. 125 - 132

Published: Feb. 1, 2024

Background: Rutin is a natural flavonol that showed excellent antiglycation activity with an IC50 value of 294.5 ± 1.5 μM. In the current study, three selected plant species Euphorbia, i.e., Euphorbia helioscopia, larica, and wallichii, were analyzed for quantification rutin. Methods: The was done through newly developed method Emission spectroscopy coupled Partial Least Square Regression (PLSR) UV-visible as parallel cross-validation method. Results: spectroscopic results indicated highest rutin concentration in roots E. helioscopia (11.25 mg/100 g) followed by wallichii (9.93 g), leaves whole larica (9.41 g). (8.66 found to contain lowest among all tested samples. Conclusion: present one simple, robust, non-destructive methods carry out quantitative estimation plants.

Language: Английский

A comprehensive review on phytoremediation of fly ash and red mud: exploring environmental impacts and biotechnological innovations DOI

Shubham Abhishek,

Annesha Ghosh,

Bhanu Pandey

et al.

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 9, 2024

Language: Английский

Citations

1

Water quality assessment of the surface and groundwater from Wadi Al-Adairey, Hail, Saudi Arabia DOI
Walid Sabri Hamadou, Abdel Moneim E. Sulieman,

Nawaf Alshammari

et al.

Sustainable Water Resources Management, Journal Year: 2023, Volume and Issue: 9(5)

Published: Aug. 19, 2023

Language: Английский

Citations

3

Analysis of the Distance between the Measured and Assumed Location of a Point Source of Pollution in Groundwater as a Function of the Variance of the Estimation Error DOI Creative Commons
Ivan Kováč, Marko Šrajbek,

Nikolina Klišanin

et al.

Hydrology, Journal Year: 2023, Volume and Issue: 10(10), P. 199 - 199

Published: Oct. 9, 2023

The localization of pollution sources is one the main tasks in environmental engineering. For this paper, models spatial distribution nitrate concentration groundwater were created, and point highest was determined. This represents assumed location source differs from actual location, so there a certain distance between measured location. paper puts forward new hypothesis that function variance estimation error. scientific contribution based on fact interaction statistical geostatistical methods can locate dominant or narrow down search area. above confirmed by example Varaždin wellfield, which closed due to an excessively high concentration. Seven different interpolation used create models. Each method provides model, error, estimates source. smallest value error 1.65 obtained for minimum curvature largest (24.49) kriging with logarithmic variogram. Our results show nonlinear monotonic relationship rational quadratic fitted scatter data. linearized, t-test performed, be considered reliable, values coefficients determination linearized models, are around 0.50. planning additional research work determine methodology we universal applied other locations where concentrations contaminants have been detected alluvial aquifers.

Language: Английский

Citations

3

Gallery forest species and water quality of the Okpara River in northern Benin DOI Creative Commons

Daniel W. Koyi,

Arcadius Yves Justin Akossou

Environmental and Sustainability Indicators, Journal Year: 2024, Volume and Issue: 21, P. 100334 - 100334

Published: Jan. 4, 2024

This study aims to understandf the relationships between water quality, vegetation and human activity in forest gallery of Okpara River northern Benin. Within this framework, floristic surveys measurements physicochemical parameters were carried out on 48 sites along watercourse, located 8 villages bordering river. Sociodemographic also among neighboring populations. The densities Khaya senegalensis, Mitragyna inermis, Vitellaria paradoxa, Cola laurifolia Isoberlinia doka wooded stratum recoveries Andropogon gayanus, Cassia mimosoïdes, Panicum maximum, tectorum, Hyptechis suaveolens Aptechis increased from upstream downstream. can be considered as average quality according measured. It emerged that density Berlinia grandiflora, Combretum glutinosum one hand, recovery Detarium microcarpa Gynandropsis gynandra other hand particularly linked water. There was a relative strong relationship two groups with first canonical coefficient estimated at 0.75. species richness shrubs herbaceous plants, temperature, Biochemical Oxygen Demand for 5 days and, lesser extent, dissolved oxygen contributed variables. importance activities downstream factor had detrimental effect composition riparian flora. information is important good sustainable management these resources.

Language: Английский

Citations

0

Quantification of Rutin, an Anti-glycating Drug, in Selected Euphorbia Species by Florescence Spectroscopy and Partial Least Squares Regression Analysis DOI
Maroof Ali, Ajmal Khan, Syed Abdullah Gilani

et al.

Current Analytical Chemistry, Journal Year: 2024, Volume and Issue: 20(2), P. 125 - 132

Published: Feb. 1, 2024

Background: Rutin is a natural flavonol that showed excellent antiglycation activity with an IC50 value of 294.5 ± 1.5 μM. In the current study, three selected plant species Euphorbia, i.e., Euphorbia helioscopia, larica, and wallichii, were analyzed for quantification rutin. Methods: The was done through newly developed method Emission spectroscopy coupled Partial Least Square Regression (PLSR) UV-visible as parallel cross-validation method. Results: spectroscopic results indicated highest rutin concentration in roots E. helioscopia (11.25 mg/100 g) followed by wallichii (9.93 g), leaves whole larica (9.41 g). (8.66 found to contain lowest among all tested samples. Conclusion: present one simple, robust, non-destructive methods carry out quantitative estimation plants.

Language: Английский

Citations

0