Identification of acacia honey treated with macroporous adsorption resins using HPLC-ECD and chemometrics

2020 ◽  
Vol 309 ◽  
pp. 125656 ◽  
Author(s):  
Qian Wang ◽  
Haoan Zhao ◽  
Xiaofeng Xue ◽  
Caiyun Liu ◽  
Liangliang He ◽  
...  
2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Haiyan Lei ◽  
Jianbo Guo ◽  
Zhuo Lv ◽  
Xiaohong Zhu ◽  
Xiaofeng Xue ◽  
...  

This study reports an analytical method for the determination of nitroimidazole and quinolones in honey using liquid chromatography-tandem mass spectrometry (LC-MS/MS). A modified QuEChERS methodology was used to extract the analytes and determine veterinary drugs in honey by LC-MS/MS. The linear regression was excellent at the concentration levels of 1–100 ng/mL in the solution standard curve and the matrix standard curve. The recovery rates of nitroimidazole and quinolones were 4.4% to 59.1% and 9.8% to 46.2% with relative standard deviations (RSDs) below 5.2% and the recovery rates of nitroimidazole and quinolones by the matrix standard curve ranged from 82.0% to 117.8% and 79% to 115.9% with relative standard deviations (RSDs) lower than 6.3% in acacia and jujube honey. The acacia and jujube honeys have stronger matrix inhibition effect to nitroimidazole and quinolones residue; the matrix inhibition effect of jujube honey is stronger than acacia honey. The matrix standard curve can calibrate matrix effect effectively. In this study, the detection method of antibiotics in honey can be applied to the actual sample. The results demonstrated that the modified QuEChERS method combined with LC-MS/MS is a rapid, high, sensitive method for the analysis of nitroimidazoles and quinolones residues in honey.


2021 ◽  
Vol 213 ◽  
pp. 240-247
Author(s):  
Tursunjan Aydan ◽  
Jing-Jing Yang ◽  
Turghun Muhammad ◽  
Fei Gao ◽  
Xiao-Xia Yang ◽  
...  

2017 ◽  
Vol 79 (4) ◽  
Author(s):  
Muhammad Ashraf Mohd Salleh ◽  
Zolkapli Eshak ◽  
Wan Iryani Wan Ismail

Apoptosis is one of markers considered in drug design including in treating cancers. Conventional treatments for cancer cause various side effects. One of possible alternatives is honey, an antioxidant driven by its phenolic and flavonoids content. This study aims to observe the effects of Malaysian Acacia honey in inhibiting breast cancer cell growth through apoptosis. Antioxidant properties of the honey were measured using total phenolic content (TPC) and total flavonoid content (TFC). Then, antiproliferative activity of the honey were observed using MTT assay. The honey exhibited IC50 at concentration of 5.5% (v/v). Further studies using TUNEL and live cell view revealed that Acacia honey induced apoptosis after 6 hours of treatment. Cell shrinkage, which is one of the apoptotic features, was observed as early as 2 hours, followed by the formation of apoptotic bodies within 6 hours of the honey treatment. Details of mechanism and actual compounds involved in displaying the results are being intensively studied.


2019 ◽  
Vol 272 ◽  
pp. 580-585 ◽  
Author(s):  
Seng She ◽  
Lanzhen Chen ◽  
Hongbo Song ◽  
Guanghui Lin ◽  
Yi Li ◽  
...  
Keyword(s):  

2013 ◽  
Vol 31 (No. 6) ◽  
pp. 601-606 ◽  
Author(s):  
G. Šarić ◽  
K. Marković ◽  
D. Vukičević ◽  
E. Lež ◽  
M. Hruškar ◽  
...  

We determined how the antioxidant activity and total phenolic content of honey changed after being subjected to a high temperature. Antioxidant activity was determined using two methods – FRAP (ferric reducing antioxidant power) and DPPH (1,1-diphenyl-2-picrylhydrazyl) assays. Total phenolic content was determined by modified Folin-Ciocalteu method. The research was conducted on 31 samples of acacia honey and 8 samples of chestnut honey. All measurements were done at two temperatures – at 23°C (room temperature) and after 5 min of heating at 95°C. The obtained results show uneven changes of antioxidant activity and total phenolic content among individual samples, i.e. in some samples antioxidant activity decreased after heating, while in others it increased. The same applies to the total phenolic content. Statistical analysis of the results (t-test) showed no statistically significant differences between the results measured at two different temperatures (P > 0.05) in all three methods used, and in both types of honey. The only statistically significant difference (P < 0.05) was observed when using DPPH method in acacia honey.


2009 ◽  
Vol 27 (Special Issue 1) ◽  
pp. S245-S247 ◽  
Author(s):  
M. Krpan ◽  
K. Marković ◽  
G. Šarić ◽  
B. Skoko ◽  
M. Hruškar ◽  
...  

The antioxidant activities and total phenolic content of 30 samples of acacia honey from Croatian territory were analysed. Phenolics were determined by the modified Folin-Ciocalteu method, antiradical activity by the 1,1-diphenyl-2-picrylhydrazyl (DPPH) method and potential antioxidant activity using the ferric reducing antioxidant power (FRAP) method. In all samples, physicochemical parameters (water content, electrical conductivity, total reducing sugars, sucrose content, acidity, hydroxymethylfurfural content, prolin content, optical rotation, diastase activity and invertase activity) were measured according to Croatian legislation and International regulatory standards. Honey can be considered as a dietary supplement as it contains some important components including α-tocopherol, ascorbic acid, flavonoids and phenolics. The composition and properties of honey are dependent on floral origins, climatic conditions of the produced area, processing and storage methods. The results of physicochemical analyses showed that all the values of investigated parameters are in agreement with the current legislation. Phenolic content ranged from 31.72 mg/kg to 80.11 mg/kg, antiradical activity expressed as IC50 ranged from 61.28% to 253.47% and antioxidant activity expressed as FRAP value from 6.95 to 142.43. A positive correlation was observed between total phenolic content and antioxidant activity, indicating that phenolic compounds are mainly responsible for the antioxidant power of acacia honey.


2014 ◽  
Vol 145 ◽  
pp. 1-7 ◽  
Author(s):  
Qingping Xiong ◽  
Qianghua Zhang ◽  
Danyan Zhang ◽  
Yingying Shi ◽  
Changxing Jiang ◽  
...  

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