METHOD FOR RECORDING BIOCHEMICAL ANALYZING DATA ON BIOCHEMICAL ANALYZING UNIT AND HYBRIDIZATION APPARATUS

• 1. 生物化学分析装置和生物化学分析方法 [P] . 中国专利： CN112986601A . 2021-06-18
• 2. 生物化学分析装置和生物化学分析方法 [P] . 中国专利： CN112986600A . 2021-06-18
• 3. Biochemical analyzing method, biochemical analysis apparatus, biochemical analysis unit used therefor and target detecting apparatus for detecting target from biochemical analysis unit [P] . 美国专利： US2002028521A1 . 2002-03-07

  机译： 生化分析方法，生化分析设备，用于其的生化分析单元和用于从生化分析单元检测靶标的靶标检测设备

• 4. BIOCHEMICAL ANALYZING UNIT AND BIOCHEMICAL ANALYZING METHOD USING IT [P] . 日本专利： JP2004361341A . 2004-12-24

  机译： 生化分析单元和使用该单元的生化分析方法

• 5. BIOCHEMICAL ANALYZING SYSTEM AND BIOCHEMICAL ANALYZING UNIT HANDLING DEVICE USED IN THE SAME [P] . 日本专利： JP2003139783A . 2003-05-14

  机译： 相同使用的生化分析系统和生化分析单元处理装置

• 1. Spatial Object Aggregation Based on Data Structure,Local Triangulation and Hierarchical Analyzing Method [J] . 地球空间信息科学学报（英文版） . 2002,第001期
• 2. Markov process method in analyzing longitudinal quality of life data [J] . WANChonghua 生物医学与环境科学：英文版 . 1999,第004期
• 3. Application of the Linearity Method to Processing and Analyzing of Precursory Data [J] . 中国地震研究：英文版 . 1997,第003期
• 4. Computational methods for analyzing bistability in biochemical reaction networks [C] . Pantea Casian, Craciun Gheorghe Proceedings of 2010 IEEE International Symposium on Circuits and Systems . 2010
• 5. Compiling and analyzing a multi-source database in a GIS using a data lineage recording and an image-based query system. [D] . Fraser, David Wilson. 1999
• 6. A data-integrated method for analyzing stochastic biochemical networks [O] . Michael W. Chevalier, Hana El-Samad -1
• 7. A data-integrated method for analyzing stochastic biochemical networks [O] . Michael W. Chevalier, Hana El-Samad 2011
• 8. A Methodology for Analyzing the Effect of Hydrometeorology of the Contiguous United States on GOES Random Data Collection System [R] . Bras, R. L., Grossman, D., Schafer, D. 1982

• 1. A Comparison of Statistical Methods for Analyzing Discrete Hierarchical Data: A Case Study of Family Data on Alcohol Abuse [J] . Yuanyuan Liang ,Keumhee Chough Carriere . 统计学期刊（英文） . 2013,第4期
• 2. BACKGROUND： Vibrio vulnifi cus inside the body could activate the NF-!B signaling pathwayand initiate the inflammatory cascade. The lung is one of the earliest organs affected by sepsisassociated with acute lung injury. High mobility group protein B1 （HMGB1） is an important late-actingpro-infl ammatory cytokine involving in the pathophysiology of sepsis. It is also involved in the injuryprocess in the lung, liver and intestine. There has been no report on the involvement of HMGB1 inVibrio vulnifi cus sepsis-induced lung injury.METHODS： Sixty rats were randomly divided into a normal control group （group A, n=10） anda Vibrio vulnificus sepsis group （group B, n=50）. Sepsis was induced in the rats by subcutaneousinjection of Vibrio vulnificus （concentration 6×108 cfu/mL, volume 0.1 mL/100g）） into the left lowerlimbs. The rats in group B were sacrifi ced separately 1, 6, 12, 24, and 48 hours after the infection.Their lungs were stored as specimens, lung water content was measured, and lung pathology wasobserved under a light microscope. The expressions of the HMGB1 gene and protein in the lungswere detected by RT-PCR and Western blot. Data were analyzed with one-way analysis of variance（ANOVA） and the LSD method for pair-wise comparison between the two groups. P〈0.05 wasconsidered statistically signifi cant.RESULTS： Compared to group A （0.652±0.177）, HMGB1 mRNA expression in the lungs ofgroup B was signifi cantly higher at 0 hour （1.161±0.358, P=0.013）, 24 hours （1.679±0.235, P=0.000）,and 48 hours （1.258±0.274, P=0.004） （P〈0.05）, and peaked at 24 hours. Compared to group A（0.594±0.190）, HMGB1 protein expression at 6 hours （1.408±0.567, P=0.026） after infection wassignificantly increased （P〈0. 05）, and peaked at 24 hours （2.415±1.064, P=0.000） after infection.Compared to group A （0.699±0.054）, lung water content was significantly increased at 6 hours（0.759±0.030, P=0.001）,12 hours （0.767±0.023, P=0.000）, 24 hours （0.771±0.043, P=0.000） and 48hours （0.789±0.137, P=0.000） after infection （P〈0.05）. Compared to group A, pathological changesat 12 hours in group B indicate marked pulmonary vascular congestion, interstitial edema andinfl ammatory infi ltration. Alveolar cavity collapse and boundaries of the alveolar septum could not beclearly identifi ed.CONCLUSION： Vibrio vulnifi cus sepsis can lead to injury in rat lungs, and increased HMGB1expression in lung tissue may be one of the mechanisms for injury from Vibrio vulnifi cus sepsis. [J] . Qiao-meng Qiu ,Zhong-wang Li ,Lu-ming Tang . 世界急诊医学杂志(英文) . 2011,第4期
• 3. 建立空分装置中碳氢化合物的检测方法 [C] . 路家兵 ,熊万红 . 中国工业气体工业协会第十五次会员代表大会暨气体行业发展研讨会 . 2005
• 4. 波长调制式光学表面等离子激元共振传感检测系统的研究及在生物化学分析中的应用 [A] . 孟胜伟 . 2014