6.Determination of Total Phthalates in Edible Oil by Phase Transfer Catalyst Assisted Hydrolysis and Supramolecular Solvent Extraction
Yangying HAN ; Laping LIU ; Jingru SUN ; Jin WANG ; Jing FENG ; Shuhui LIU
Chinese Journal of Analytical Chemistry 2016;44(6):901-907
A new method for the rapid determination of total phthalates (PAEs) in edible oils was developed. The PAEs in edible oils all were hydrolyzed to phthalic acid with tetrabutylammonium chloride (TBAC) as catalyst. Then phthalic acid was extracted by the supramolecular solvent ( SUPRAS) made up of octanol, tetrahydrofuran and aqueous solution, and detected by high performance liquid chromatography-tandem mass spectrometry (HPLC-MS / MS). As a result, hydrolysis time was 10 min. The linear range of phthalic acid was 0. 05- 2. 0 mg / L with a good correlation coefficients ( r > 0. 999). The limits of detection ( LOD) and quantification (LOQ) were 5. 41 and 18. 05 μg / kg, respectively. The recoveries of target analyte at three spiked levels were in the range of 84. 6% - 104. 5% . The repeatability, expressed as relative standard deviation (RSD), was 2. 6% for intra-day and 3. 7% for inter-day. The total PAEs content of 12 edible oils was found in the range of 0. 30-1. 09 mg / kg.
7. Analysis of the volatile constituents of flos chrysanthemi indici in Yangling demonstration zone of Shaanxi by SPME/GC/MS
International Journal of Traditional Chinese Medicine 2020;42(2):163-166
Objective:
To analyze the chemical constituents of the volatile constituents of Flos chrysanthemi indici.
Methods:
The volatile constituents in Flos chrysanthemi indici was extracted by the method of Solid phase microextraction (SPME). The components of the volatile constituents were separated and identified by gas chromatography-mass spectrometry (GC-MS). The relative content of each component was determined by area normalization.
Results:
Fifty different compounds were isolated and identified, accounting for 97.17% of the total volatile constituents. The main components in volatile constituents of Flos chrysanthemi indici were eucalyptol (24.72%), á-Myrcene (15.78%), 1,6,10-Dodecatriene, 7,11-dimethyl-3-methylene-, (Z)- (10.44%), Camphor (10.05%), Naphthalene, 1,2,3,4,4a,5,6,8a-octahydro-7-methyl-4-methylene-1-(1-methylethyl)-, (1à,4aà,8aà)- (4.81%), á-Phellandrene (4.43%), 1R-à-Pinene (4.28%), Bornyl acetate (2.56%), Bicyclo [3.1.0] hexane, 4-methylene-1-(1-methylethyl)- (1.59%), 1H-Benzocycloheptene, 2,4a,5,6,7,8-hexahydro-3,5,5,9-tetramethyl-, (R)-(1.47%).
Conclusions
The SPME technology can be used for volatile component analysis of wild chysanthemum,and it can help to improve the sensitivity and accuracy.
8.Predictive value of complement and coagulation indicators in sepsis related acute kidney injury
Laping CHU ; Yafen YU ; Lichen GUO ; Junqiong PENG ; Lifang ZHOU ; Hongyi WEI ; Pengfei DU ; Yin WANG ; Donghui JIANG
Chinese Journal of Internal Medicine 2020;59(11):854-859
Objective:To explore the predictive value of complement and coagulation indicators in sepsis related acute kidney injury (AKI).Methods:Clinical data of 217 patients with sepsis admitted to the Department of Internal Medicine and Intensive Care Unit of Affiliated Hospital of Jiangnan University from January 2018 to June 2019 were retrospectively analyzed. All patients were divided into sepsis with AKI group and without AKI group. Laboratory indicators of all patients were collected, including complement C 3, complement C 4, activated partial thrombin time (APTT), prothrombin time (PT), international normalized ratio (INR), D-dimer, procalcitonin(PCT), etc. logistic regression analysis was used to explore the risk factors of sepsis related AKI. Receiver operating characteristic curve (ROC) was used to evaluate the predictive value of independent risk factors. Results:Among 217 patients, 120 patients developed sepsis related AKI and 97 patients didn′t. PCT, lactic acid, PT, APTT, INR and D-dimer in AKI patients were significantly higher than those without AKI ( P<0.01). Complement C 3 and complement C 4 were significantly lower in AKI group ( P<0.01). Multivariate logistic regression analysis suggested that blood pressure<90/60 mmHg (1 mmHg=0.133 kPa)( OR=3.705, 95% CI 1.536-8.934, P=0.004), increased lactic acid ( OR=1.479, 95% CI 1.089-2.008, P=0.012), decreased complement C 3 ( OR=0.027, 95% CI 0.005-0.152, P<0.001) and prolonged APTT ( OR=1.090, 95% CI 1.047-1.137, P<0.001)were independent risk factors predicting AKI. The area under the ROC curve (AUC) of these multivariates were 0.741 (95% CI 0.675-0.807), 0.798 (95% CI 0.732-0.864), 0.712 (95% CI 0.643-0.781) and 0.716 (95% CI 0.648-0.783) respectively. The relevant sensitivity was 57.5%, 80.8%, 87.5%, 59.2%, and the specificity was 90.7%, 75.3%, 51.5%, 77.3%, respectively. The AUC of the combined four indicators was 0.880 (95 %CI 0.835-0.926) with the sensitivity 75.0% and the specificity 90.7%. Conclusion:The low level of complement C 3 and prolonged APTT predict sepsis related AKI, and the predictive value can be enhanced if hypotension and hyperlactacidemia are added.