Integrative physicochemical and HPLC assessment studies for the inclusion of lornoxicam in buffalo's milk fat globules as a potential carrier delivery system for lipophilic drugs

Abdellatif, Ahmed A. H.; Hamd, Mohamed A. El; Salman, K. H.; Abd-El-Rahim, Ali M.; El-Maghrabey, Mahmoud; Tawfeek, Hesham M.

doi:10.1016/j.microc.2019.104321

Cited by 7 publications

(4 citation statements)

References 25 publications

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“…All calculations were performed, according to the literature protocol in aqueous media. 29,30 Surface Morphology Using Scanning Electron Microscopy (SEM) Analysis SEM morphology was performed using a JEOL JSM-550 Scanning Electron Microscope (Jeol, Akishima, Tokyo, Japan) to analyze the superficial morphology of the prepared AgNPs-CIT. A drop of AgNPs-CIT was added on a slipcover (Sputter coater, JOEL JFC-1300), was fully dried, and covered with a thin layer of platinum in a vacuum for 55 sec at 25 mÅ using a coating unit to make it electrically conductive before imaging in the SEM instrument.…”

Section: Size and ζ-Potential Measurements By Dynamic Light Scattering (Dls) Instrumentmentioning

confidence: 99%

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<p>Silver Citrate Nanoparticles Inhibit PMA-Induced TNFα Expression via Deactivation of NF-κB Activity in Human Cancer Cell-Lines, MCF-7</p>

Abdellatif¹,

Rasheed²,

Alhowail³

et al. 2020

IJN

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Background The nuclear factor kappa-B (NF-κB) is a major transcription factor responsible for the production of numerous inflammatory mediators, including the tumor necrosis factor (TNFα), which has a lethal association with cancer’s onset. The silver nanoparticles (AgNPs) are widely used in cancer treatment and several other biomedical applications. Objective The study aimed to determine the effects of silver citrate nanoparticles (AgNPs-CIT) on NF-κB activation together with TNFα mRNA/protein expressions in the phorbol myristate acetate (PMA)-stimulated MCF-7 human breast cancer cell-lines. Methods The AgNPs-CIT were synthesized by the reduction method, and the prepared AgNPs-CIT were characterized for their shape, absorption in UV-VIS electromagnetic radiations, size distribution, ζ-potential, and antioxidant activity. The MCF-7 cell-lines were pretreated with AgNPs-CIT and stimulated with PMA. The TNFα mRNA expressions were determined by real-time PCR, whereas the protein production was determined by the ELISA. The NF-κB activity was distinctly observed by highly-specific DNA-based ELISA, and by NF-κB-specific inhibitor, Bay 11–7082. Results The prepared AgNPs-CIT were spherical and have an absorption wavelength range of 381–452 nm wherein the particles size ranged between 19.2±0.1 to 220.77±0.12 nm with the charge range −9.99±0.8 to −34.63±0.1 mV. The prepared AgNPs-CIT showed comparative antioxidant activity at >40% inhibitions level of the DPPH radicals. The AgNPs-CIT were found to be non-toxic to MCF-7 cell-lines and inhibited PMA-induced activation of the NF-κBp65, and also the mRNA/protein expression of TNFα. Conclusion This is the first report that showed AgNPs-CIT inhibited TNFα expression via deactivation of the NF-κB signaling event in stimulated breast cancer cells. The results have important implications for the development of novel therapeutic strategies for the prevention/treatment of cancers and/or inflammatory disorders.

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Section: Size and ζ-Potential Measurements By Dynamic Light Scattering (Dls) Instrumentmentioning

confidence: 99%

“…The dried powder was obtained after freeze-drying of the AgNPs-CIT sample was used for the FT-IR analysis. 29,30…”

Section: Fourier Transform Infrared (Ft-ir) Spectroscopymentioning

confidence: 99%

<p>Silver Citrate Nanoparticles Inhibit PMA-Induced TNFα Expression via Deactivation of NF-κB Activity in Human Cancer Cell-Lines, MCF-7</p>

Abdellatif¹,

Rasheed²,

Alhowail³

et al. 2020

IJN

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“…The milk with different amount of fat is described from its mien, texture, and taste (McCarthy et al, 2017;Soukoulis et al, 2010). Recently, different novel technologies and methods have been studied among milk fat evaluation and assessment, such as fluorescent sensor (Xu et al, 2014), Spectralsensitive Pulsed Photometry (Ragni et al, 2016), Dielectric (Zhu et al, 2015), molecular distillation (Berti et al, 2018), HPLC-UV detection (Abdellatif et al, 2020), electromagnetic (Wu et al, 2021) and Nuclear Magnetic Resonance (NMR) (Sacchi et al, 2018). In addition, long evaluation time, high instrumental 4 cost, complex pre-treatment of the samples and use of expertise for measurements and analysis are some limitations, defects, and disadvantages of previous studies for milk fat evaluation.…”

Section: Introductionmentioning

confidence: 99%

Rapid monitoring of milk fat using Image processing coupled with ANN and PSO methods

Nouri

Mohtasebi

Moghadam

et al. 2022

Preprint

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Monitoring the main compositions of milk content like fat, lactose, protein and total solids, has become a major challenge in dairy cattle farming. For quantitative determination of fat content in milk based on the relation of milk color features different methods have been used, but long time, high cost, and need for experts for analysis are some disadvantages of them. In this study, for rapid monitoring of milk fat content, novel technology of image processing coupled with artificial neural network (ANN) and Particle swarm optimization (PSO) methods has been applied. The estimated milk fat content of the best proposed method was extensively compared with the reference sample (R2=0.99, MAE=0.22, and MSE=0.05). Moreover, effect of water on color components of milk with different percentages of fat content have been investigated. Results approved the proposed method as a reliable, rapid and low-cost method for monitoring milk fat content.

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“…It is a highly heterogeneous matrix comprising fatty acids, including palmitic, oleic, and linoleic acid; fat-soluble vitamins; and a high level of proteins and carbohydrates. These constituents could interfere with the detection of steviol glycosides [35,36]; therefore, it is important to optimize the method of sample preparation for milk and milk-based products. As the concentrations of steviol glycoside additives in milk are usually very low [37], it is important to have an effective sample pretreatment method to remove its emulsion characteristics in order to extract steviol glycosides [38].…”

Section: Introductionmentioning

confidence: 99%

Validation of an HPLC Method for Pretreatment of Steviol Glycosides in Fermented Milk

Kim

Koh

Park

2021

Foods

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Steviol glycosides are used in food and beverages worldwide as natural sweeteners, serving as a low-calorie sugar substitute. The acceptable daily intake of steviol is 0–4 mg/kg body weight. The rising demand for dairy products has led to a corresponding increase in the use of steviol glycosides in such products. Therefore, it is important to analyze the levels of steviol glycosides in dairy products. Dairy products have high fat contents and unique emulsion characteristics, conferred by a mixture of fat globules, casein micelles, whey proteins, and numerous other small molecules. These characteristics may interfere with the estimation of steviol glycoside levels; therefore, dairy samples require pretreatment. We aimed to develop an objective test for measuring the levels of steviol glycosides through the development of an efficient pretreatment method. In this study, the steviol glycoside content in dairy products was evaluated by using various methods, and an optimal pretreatment method was determined. We used high-performance liquid chromatography to assess the selectivity, linearity, limit of detection, limit of quantification, accuracy, precision, and recovery rate. Calibration curves were linear in the range of 1–50 mg/kg, with a coefficient of determination of ≥0.999. The limit of detection and limit of quantification were in the ranges of 0.11–0.56 and 0.33–1.69 mg/kg, respectively. The relative standard deviation (%) represents the precision of a measurement. The RSD relative standard deviationof recovery varied between 0.16% and 2.83%, and recovery of the analysis varied between 83.57% and 104.84%. These results demonstrate the reliability of the method for measuring the steviol glycoside content. This method can be used for the simple pretreatment of steviol glycosides and can provide an accurate determination of steviol glycoside content in emulsified food matrices, such as dairy products.

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Integrative physicochemical and HPLC assessment studies for the inclusion of lornoxicam in buffalo's milk fat globules as a potential carrier delivery system for lipophilic drugs

Cited by 7 publications

References 25 publications

<p>Silver Citrate Nanoparticles Inhibit PMA-Induced TNFα Expression via Deactivation of NF-κB Activity in Human Cancer Cell-Lines, MCF-7</p>

<p>Silver Citrate Nanoparticles Inhibit PMA-Induced TNFα Expression via Deactivation of NF-κB Activity in Human Cancer Cell-Lines, MCF-7</p>

Rapid monitoring of milk fat using Image processing coupled with ANN and PSO methods

Validation of an HPLC Method for Pretreatment of Steviol Glycosides in Fermented Milk

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