Food Science and Technology
·
2022
·
IF 2.602
WU Jiao,ZHAO Shan,CHEN Xin,JIU Yuanda,LIU Junfeng,GAO Jinglin,WANG Shijie
A summarized physicochemical profile of nine multifloral honeys produced by Apis cerana cerana Fabricius in Qiongzhong region located in Hainan province was exhibited, regarding pH (3.72-4.02), moisture (19.20-22.53%), fructose (34.40-38.70 g 100 g-1), glucose (31.60-35.05 g 100 g-1), sucrose (less than 3%), color (31.00-80.00 mm Pfund), ash content (0.17-0.45 g 100 g-1), soluble solid (75.87-79.10 ◦Brix), and electrical conductivity (343.67-678.33 μS cm-1). Potassium showed the highest concentration, followed by calcium. Manganese, boron, iron, aluminium, and zinc were the main micro-elements while cadmium and hydrargyrum were not detected in all honey samples. The antiradical activity was shown to be significantly negative correlated with total phenolic content (TPC) (r2 = −0.756) and total flavonoid content (TFC) (r2 = −0.477). Among all tested honey samples, sample A exhibited the highest levels of TPC (45.46 mg GAE 100 g-1), TFC (10.02 mg RE 100 g-1), and antiradical activity (DPPH IC50 = 2.63 mg mL-1). Our results will be useful in determining to set the standard for A. cerana cerana honey.
研究领域:
食品科学
·
化学
·
生物学
✓ 已验证
产品关联
DOI
高影响因子
BMC PUBLIC HEALTH
·
2021
·Vol. 21
·期 1
·2001
·
IF 3.295
Mao Zijun,Zou Qi,Yao Hong,Wu Jingyi
Background As COVID-19 continues to spread globally, traditional emergency management measures are facing many practical limitations. The application of big data analysis technology provides an opportunity for local governments to conduct the COVID-19 epidemic emergency management more scientifically. The present study, based on emergency management lifecycle theory, includes a comprehensive analysis of the application framework of China’s SARS epidemic emergency management lacked the support of big data technology in 2003. In contrast, this study first proposes a more agile and efficient application framework, supported by big data technology, for the COVID-19 epidemic emergency management and then analyses the differences between the two frameworks. Methods This study takes Hainan Province, China as its case study by using a file content analysis and semistructured interviews to systematically comprehend the strategy and mechanism of Hainan’s application of big data technology in its COVID-19 epidemic emergency management. Results Hainan Province adopted big data technology during the four stages, i.e., migration, preparedness, response, and recovery, of its COVID-19 epidemic emergency management. Hainan Province developed advanced big data management mechanisms and technologies for practical epidemic emergency management, thereby verifying the feasibility and value of the big data technology application framework we propose. Conclusions This study provides empirical evidence for certain aspects of the theory, mechanism, and technology for local governments in different countries and regions to apply, in a precise, agile, and evidence-based manner, big data technology in their formulations of comprehensive COVID-19 epidemic emergency management strategies.
研究领域:
公共卫生
·
应急管理体系
·
信息科学
·
流行病学
·
数据驱动决策
✓ 已验证
DOI
高影响因子
FOOD CHEMISTRY
·
2025
·
IF 9.8
Jiao Wu,Xiang-Tan Xu,Cheng Xing,Xin-Bao Hao,Xing-Yue Fang,Zhi-Hao Xie,Shan Zhao,Jing-Lin Gao,Lu Xu,Shi-Jie Wang
Honey has been recognized for its role in disease prevention through nutritional modulation. In this study, we comprehensively assessed the physicochemical parameters, metabolic profile, antioxidant and anti-inflammatory activities of multifloral honeys produced by Apis cerana cerana in Sansha City (SS), Hainan Province. Metabolomic analysis identified SS honey had multiple bioactive compounds known for antioxidant and anti-inflammatory properties. Compared to A. cerana cerana honey from central regions of Hainan Province, SS honey showed higher levels of TFC (113.80 mg RE/100 g) and TPC (45.86 mg GAE/100 g). Furthermore, SS honey demonstrated greater antioxidant activity, as evidenced by FRAP (1503.16 μmol TE/kg), DPPH IC 50 (36.13 mg/mL), and ABTS IC 50 (11.03 mg/mL). SS honey significantly reduced the levels of cyclooxygenase-2 (COX-2), interleukin-1β (IL-1β), interleukin-6 (IL-6), inducible nitric oxide synthase (iNOS), and tumor necrosis factor-α (TNF-α) in lipopolysaccharide (LPS)-induced RAW 264.7 cells, along with suppressing the mRNA expression of these inflammatory markers.
研究领域:
养蜂学
·
生物化学
·
药理学
·
营养科学
·
代谢组学
✓ 已验证
产品关联
DOI
PubMed
高影响因子
危险品化学品经营许可证（带存储）