Study on accuracy of information collection of anesthesia information management system / 医疗卫生装备

Objective To explore the data accuracy acquired by the anesthesia information management system.Methods Totally 100 patients from two hospitals were selected randomly,whose anesthesia time was estimated more than 1 h.The vital signs data acquired by the system were compared with those by the monitor once every 5 min±30 s,and totally there were 12 times of comparison executed.SAS 9.2 software was used for statistical analysis.Results In FAS set the system had the total data accuracy being 100％,95％ credibility interval from 86.87％ to 97.30％ and the BMDL higher than 85％;in PPS set he total data accuracy was 100％,95％ credibility interval was from 92.89％ to 100％ and the BMDL was also higher than 85％.The system gained "Excellent" or "Good" grade in system response,stability,functional interface operability and the accuracy of special functions.Conclusion The system acquires and stores the vital signs data automatically and accurately,enhances anesthesia information in objectivity,authenticity and tractability,and has high values for enhancing anesthesia safety,medical safety and scientific research.

Study on accuracy of information collection of anesthesia information management system / 医疗卫生装备

Objective To explore the data accuracy acquired by the anesthesia information management system.Methods Totally 100 patients from two hospitals were selected randomly,whose anesthesia time was estimated more than 1 h.The vital signs data acquired by the system were compared with those by the monitor once every 5 min±30 s,and totally there were 12 times of comparison executed.SAS 9.2 software was used for statistical analysis.Results In FAS set the system had the total data accuracy being 100％,95％ credibility interval from 86.87％ to 97.30％ and the BMDL higher than 85％;in PPS set he total data accuracy was 100％,95％ credibility interval was from 92.89％ to 100％ and the BMDL was also higher than 85％.The system gained "Excellent" or "Good" grade in system response,stability,functional interface operability and the accuracy of special functions.Conclusion The system acquires and stores the vital signs data automatically and accurately,enhances anesthesia information in objectivity,authenticity and tractability,and has high values for enhancing anesthesia safety,medical safety and scientific research.

Bioconversion of D-fructose to D-allose by novel isomerases / 生物工程学报

Rare sugar is a kind of important low-energy monosaccharide that is rarely found in nature and difficult to synthesize chemically. D-allose, a six-carbon aldose, is an important rare sugar with unique physiological functions. It is radical scavenging active and can inhibit cancer cell proliferation. To obtain D-allose, the microorganisms deriving D-psicose 3-epimerase (DPE) and L-rhamnose isomerase (L-RhI) have drawn intense attention. In this paper, DPE from Clostridium cellulolyticum H10 was cloned and expressed in Bacillus subtilis, and L-RhI from Bacillus subtilis 168 was cloned and expressed in Escherichia coli BL21 (DE3). The obtained crude DPE and L-RhI were then purified through a HisTrap HP affinity chromatography column and an anion-exchange chromatography column. The purified DPE and L-RhI were employed for the production of rare sugars at last, in which DPE catalyzed D-fructose into D-psicose while L-RhI converted D-psicose into D-allose. The conversion of D-fructose into D-psicose by DPE was 27.34%, and the conversion of D-psicose into D-allose was 34.64%.

Screening of food-grade microorganisms for biotransformation of D-tagatose and cloning and expression of L-arabinose isomerase / 生物工程学报

L-Arabinose isomerase (L-AI) is an intracellular enzyme that catalyzes the reversible isomerization of D-galactose and D-tagatose. Given the widespread use of D-tagatose in the food industry, food-grade microorganisms and the derivation of L-AI for the production of D-tagatose is gaining increased attention. In the current study, food-grade strains from different foods that can convert D-galactose to D-tagatose were screened. According to physiological, biochemical, and 16S rDNA gene analyses, the selected strain was found to share 99% identity with Pediococcus pentosaceus, and was named as Pediococcus pentosaceus PC-5. The araA gene encoding L-AI from Pediococcus pentosaceus PC-5 was cloned and overexpressed in E. coli BL21. The yield of D-tagatose using D-galactose as the substrate catalyzed by the crude enzyme in the presence of Mn2+ was found to be 33% at 40 degrees C.