Di Chen,Jiyong Yin,Zhuo Yang,Wen Qin,Junsheng Huo,Jian Huang,Jing Sun,Wei Piao
The current cytological evaluation technique of health food raw materials does not entirely meet the needs of evaluating health food. Our study adopted the microfluidic chip technique for the first time to construct a hepatocyte model of evaluating emodin, which was composed of a human hepatocellular carcinoma cell (HepG2) and microfluidic chip. The mixed glue of a model with rat tail collagen type I (1.3 mg/mL) + gelatin (7.5%) was used to simulate the microenvironment of a cell. The validity of this model was evaluated by cell proliferation activity and cell staining, and the toxicity of emodin was evaluated by a series of metabolic indicators on this model. The results indicated that the repeatability of the constructed hepatocyte model was favorable, with a coefficient of variation (CV) of 2.8%. After emodin continuously was exposed for 48 h, the cell inhibition was obvious at 100 and 200 μM, and the number of dead cells gradually increased with the increasing of emodin concentration, and the difference of BUN was significant between the emodin group and blank group (p< 0.05). The constructed model has a favorable applicability in evaluating emodin. This study provides an important platform and a potential in vitro alternative model for assessing and predicting the health effects of health food.Keywords:microfluidic chip;raw materials of health food;emodin;hepatocyte model;evaluation
Di Chen,Jiyong Yin,Junsheng Huo,Jing Sun,Jian Huang,Tiantong Li,Chaoqun Sun,Zhuo Yang,Wen Qin
We aimed to explore the optimization and application of a bionic system of dynamic co-culture with hepatocytes and renal cells based on the microfluidic chip technique in evaluating emodin, which might replace the conventionally cytological evaluation technique of health food. After optimal experiments, the improved bionic system was composed of human hepatocellular carcinoma cells (HepG2), human renal glomerular endothelial cells (HRGECs), rat tail collagen type I, and gelatin with optimized concentrations (1.3 mg/mL + 7.5%). The applicability of the bionic system indicated that the growth stability was appropriate (CV: 7.36%), and the cell viability of that gradually decreased with the increasing of emodin concentration from 0–100 μM, which statistic significances were at 50 and 100 μM (p< 0.05), and the stained results of dead/live cells also showed the same trend. The LDH level appeared rising trend after decline between 0 μM and 100 μM emodi, and the level of that at 100 μM emodin was significantly higher than that at 25 μM and 50 μM emodin, respectively. The BUN level continuously and significantly declined with the increasing of emodin concentration (p< 0.05). Our research realized the application of this optimized bionic system in evaluating emodin, and provided a useful platform and reference for further in vitro alternative research with regard to evaluating the efficacies of health food in the future.Keywords:bionic system;co-culture of hepatocytes and renal cells;microfluidic chip;emodin;raw material of health food
The illegal addition of drugs to health foods posed significant risks to consumer safety, prompting an urgent need for reliable monitoring methods. A simple, green, efficient dual-surfactant supramolecular solvent dispersion liquid-liquid microextraction coupled with high performance liquid chromatography (SUPRAS-DLLME-HPLC) method was developed to determine four sulfonylurea hypoglycemic drugs (glibenclamide, gliclazide, glimepiride, gliquidone) in health food. A low-viscosity, high-density supramolecular solvent (SUPRAS) was prepared from 1-butyl-3-methylimidazolium bis(trifluoromethanesulfonyl)imide ([BMIM][TFSI]) and sodium dodecyl sulfate (SDS) by vortex-assisted two-step self-assembly. The incorporation of SDS into [BMIM][TFSI] significantly enhanced the SUPRAS extraction efficiency, and the surface morphology, microstructure, and physicochemical properties of SUPRAS were subsequently characterized. The four analytes showed good linearity (R 2 > 0.9994) in the range of 7.8–2000 μg kg −1 , with limits of detection and limits of quantification of 1.14–2.40 μg kg −1 and 3.82–8.03 μg kg −1 , respectively. The present method provided a practical and green solution for identifying illegal additives in health food.
危险品化学品经营许可证（带存储）