Sodium Dodecyl Sulfate
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Abolfazl Darroudi ◽  
Saeid Nazari ◽  
Seyed Ali Marashi ◽  
Mahdi Karimi-Nazarabad

Abstract An accurate, rapid, simple, and novel technique was developed to determine simvastatin (SMV). In this research, a screen-printed electrode (SPE) was deposited with graphene oxide (GO) and sodium dodecyl sulfate (SDS), respectively. For the first time, the handmade modified SPE measured the SMV by differential pulse voltammetry (DPV) with high sensitivity and selectivity. The results of cyclic voltammetry indicated the oxidation irreversible process of SMV. Various parameters (pH, concentration, scan rate, support electrolyte) were performed to optimize the conditions for the determination of SMV. Under the optimum experiment condition of 0.1 M KNO3 as support electrolyte and pH 7.0, the linear range was achieved for SMV concentration from 1.8 to 36.6 µM with a limit of detection (LOD), and a limit of quantitation (LOQ) of 0.06 and 1.8 µM, respectively. The proposed method was successfully utilized to determine SMV in tablets and urine samples with a satisfactory recovery in the range of 96.2 to 103.3%.

Adnan A. Dahadha ◽  
Mohammed Hassan ◽  
Tamara Mfarej ◽  
Mohammad Al-Dhoun ◽  
Mohammad Abunuwar ◽  

2022 ◽  
Vol 12 (1) ◽  
Aleksandr L. Kim ◽  
Egor V. Musin ◽  
Alexey V. Dubrovskii ◽  
Sergey A. Tikhonenko

AbstractSodium dodecyl sulfate (SDS) is the most widely used anionic surfactant. Its frequent use causes environmental pollution and negative effects on living organisms (even at low concentrations ≈ 20 μg/ml). Thus, cheap and fast methods are needed to detect this surfactant in wastewater and surface waters in order to prevent the negative effects of SDS on the environment and human beings. We discovered that sodium dodecyl sulfate is capable of destroying polyelectrolyte microcapsules, which has been demonstrated by the number of sedimented polyelectrolyte microcapsules (PMC) before and after incubation in SDS solution. Therefore, it was proposed to use PMCs to create qualitative and quantitative diagnostic systems for the determination of SDS in solution. The qualitative system is a polyelectrolyte microcapsules containing polyallylamine labeled with a fluorescent dye—FITC. An excess SDS concentration of more than 5 μg/ml in the analyzed medium leads to the destruction of PMC and an increase in the fluorescence intensity of the solution, which is recorded by a fluorometer. The quantitative diagnostic system is based on turbidimetry of the PMC suspension before and after incubation in an anionic surfactant solution. This system has a range of detectable SDS concentrations from 10 to 50 μg/ml, with a standard deviation of no more than 11%.

2022 ◽  
Takashi Akihiro ◽  
Ryou Yasui ◽  
Shinji Yasuhira ◽  
Ken-ich Matsumoto ◽  
Yasuhiro Tanaka ◽  

Abstract Basket clam soup, a popular Asian dish, is prepared by boiling clams in hot water. The soup is generally cloudy and considered more delicious as cloudiness increases. However, the identity of the whitening ingredients and their relationship with taste remain unclear. In this study, we aimed to identify the components that contribute to the white color of the boiled soup. The white component was precipitated with trichloroacetic acid and reacted positively with ninhydrin, indicating the presence of proteins. The proteins were separated using sodium dodecyl sulfate-polyacrylamide gel electrophoresis, and an intense band was observed at 33 kDa. Peptide mass fingerprinting of this band using matrix-assisted laser desorption/ionisation-time-of-flight tandem mass spectrometry revealed the protein to be tropomyosin. Basket clam tropomyosin expressed and purified from Escherichia coli turned the extracted solution white, confirming that tropomyosin contributed to the white color of clam soup.

Pharmacia ◽  
2022 ◽  
Vol 69 (1) ◽  
pp. 45-50
Virab Gurgen Kirakosyan ◽  
Avetis Hovhannes Tsaturyan ◽  
Lilit Eduard Poghosyan ◽  
Ella Vardan Minasyan ◽  
Hayk Razmik Petrosyan ◽  

An isocratic, high-performance liquid chromatography (HPLC) quantitation method was developed for the quantitative determination of metformin, glibenclamide, gliclazide, glimepiride in some antidiabetic biologically active additives. A Nucleosil C18, 5 μm, 4.6 mm × 150 mm, column with mobile phase containing buffer (10 mm Na2HPO4, 10 mm sodium dodecyl sulfate): acetonitrile = 68 : 32 (V/V), pH = 7.5 was used. The flow rate was 1.0 mL/min, and effluents were monitored at 226 nm. The retention times of gliclazide glibenclamide, glimepiride and metformin, were 2.203, 4.587, 5.667 and 10.182 min, respectively. Linearity was studied by preparing standard solutions of gliclazide, glibenclamide, glimepiride and metformin at the concentration range of 50% to 150% of working concentration from a stock solution. The method was successfully applied to the estimation of gliclazide, glibenclamide, glimepiride and metformin in some antidiabetic biologically active additives. This method was validated to confirm its system suitability, selectivity, linearity, precision and accuracy according to international conference on harmonization (ICH) guidelines.

2022 ◽  
Vol 905 ◽  
pp. 169-173
Hui Ping Xi ◽  
Xiu Wei Fang ◽  
Bao Hua Wu

In Britton Robinson (B-R) buffer solution with pH = 7.00 and sodium dodecyl sulfate (SDS) medium, an effective energy transfer between acridine orange (AO) and Rhodamine B (RB) can occur, which can enhance the fluorescence of RB. The addition of Gemifloxacin (GMFX) can quench the fluorescence of RB. So a new method for the indirect determination of Gemifloxacin was established by AO-RB fluorescence resonance energy transfer. This method was applied to the determination of Gemifloxacin tablets. The results were consistent with those of high performance liquid chromatography (HPLC) . Experiments show that this method is simple, rapid, accurate and sensitive.

Micromachines ◽  
2022 ◽  
Vol 13 (1) ◽  
pp. 79
Greta Ionela Barbulescu ◽  
Taddeus Paul Buica ◽  
Iacob Daniel Goje ◽  
Florina Maria Bojin ◽  
Valentin Laurentiu Ordodi ◽  

Whole organ decellularization techniques have facilitated the fabrication of extracellular matrices (ECMs) for engineering new organs. Unfortunately, there is no objective gold standard evaluation of the scaffold without applying a destructive method such as histological analysis or DNA removal quantification of the dry tissue. Our proposal is a software application using deep convolutional neural networks (DCNN) to distinguish between different stages of decellularization, determining the exact moment of completion. Hearts from male Sprague Dawley rats (n = 10) were decellularized using 1% sodium dodecyl sulfate (SDS) in a modified Langendorff device in the presence of an alternating rectangular electric field. Spectrophotometric measurements of deoxyribonucleic acid (DNA) and total proteins concentration from the decellularization solution were taken every 30 min. A monitoring system supervised the sessions, collecting a large number of photos saved in corresponding folders. This system aimed to prove a strong correlation between the data gathered by spectrophotometry and the state of the heart that could be visualized with an OpenCV-based spectrometer. A decellularization completion metric was built using a DCNN based classifier model trained using an image set comprising thousands of photos. Optimizing the decellularization process using a machine learning approach launches exponential progress in tissue bioengineering research.

ChemPlusChem ◽  
2022 ◽  
Vol 87 (1) ◽  
Anup K. Prasad ◽  
Chandni Tiwari ◽  
Sourav Ray ◽  
Stephanie Holden ◽  
David A. Armstrong ◽  

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