The biomass pulse-response method was established and the biomass transmission index was introduced as a quantitative parameter for evaluating the biomass-adsorbent interactions in the expanded bed.With baker’s yeast...The biomass pulse-response method was established and the biomass transmission index was introduced as a quantitative parameter for evaluating the biomass-adsorbent interactions in the expanded bed.With baker’s yeast intact cells and cell debris as the model biomass and anion exchanger Streamline DEAE as the model adsorbent, a series of factors were investigated to optimize the evaluation method.The appropriate operation conditions were chosen as the OD 600 of biomass pulse at the range of 0.5—0.6, and pulse loading at 80% volume of sedimented bed, expansion factor at 2.5.The method was then used to study the influence of ionic strength of fluid phase on the biomass-adsorbent interactions.The consistent results and slight measurement errors demonstrated that the biomass pulse-response method established in the present work is feasible, reliable and effective for quantitative evaluation of biomass-adsorbent interactions in the expanded bed.展开更多
Objectives.: The purpose of this study is to discover potential biomarkers for the detection and monitoring of adjuvant chemotherapy for ovarian cancer. Methods.: Serum samples from ovarian cancers and non-cancer cont...Objectives.: The purpose of this study is to discover potential biomarkers for the detection and monitoring of adjuvant chemotherapy for ovarian cancer. Methods.: Serum samples from ovarian cancers and non-cancer controls were analyzed using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry(SELDI-TOF-MS). To discover the possible diagnostic biomarker for ovarian cancer, a preliminary training set of spectra derived from 31 primary ovarian cancer patients, 16 patients with benign ovarian diseases, and 25 healthy women was used to develop a proteomic model that discriminated cancer from non-cancer effectively. A blind test set, including 43 new cases, was used to validate the sensitivity and specificity of this multivariate model. To explore treatment-induced serum protein change, the protein profiles generated from 16 postoperative patients before chemotherapy are compared with those obtained after chemotherapy. Results.: A Four-peak model was established in the training set that discriminated cancer from non-cancer with sensitivity of 90.8%and specificity of 93.5%. A sensitivity of 87.0%and a specificity of 95.0%for the blind test were obtained, compared with 60.7%, 55%for CA125 for the same samples. These 4 markers performed significantly better than the current standard marker, CA125(P< 0.05). One protein peak(mass/charge ratio[m/z], 4475) was identified in 12 of 16(75%) postoperative patients after chemotherapy, but was absent before chemotherapy. Conclusion.: The proteins represented by these peaks are candidate biomarkers for ovarian cancer diagnosis and/or monitoring treatment response.展开更多
以褐菖鲉（Sebastiscus marmoratus）细胞色素P4501A四种生物标志物，即鳃丝EROD活性、肝EROD活性、肝CYP1 A mRNA和肝CYP1 A蛋白为指标，在泉州湾海域选择6个站位（包括1个对照站位），开展了为期两周的野外监测实验，研究了上述生物...以褐菖鲉（Sebastiscus marmoratus）细胞色素P4501A四种生物标志物，即鳃丝EROD活性、肝EROD活性、肝CYP1 A mRNA和肝CYP1 A蛋白为指标，在泉州湾海域选择6个站位（包括1个对照站位），开展了为期两周的野外监测实验，研究了上述生物标志物的变化特征以及它们同表层海水中石油类含量和沉积物物中16种优先监控的PAHs含量之间的相关性，并利用新一代综合生物标志物响应指数法（IBRv2）对监测站位石油类和PAHs污染效应进行了评价．结果显示，不同站位的上述四种生物标志物变化趋势基本一致；生物标志物的变化与相应站位表层水中石油类含量及沉积物中PAHs总含量相吻合；IBRv2分析结果表明，各监测站位IBRv2指数介于1.5-4.2之间，其中2号站环境污染压力最大，4号站最小．在复杂的海洋污染条件下，采用CYP1 A多种生物标志物监测技术能够更加全面反映石油类等污染及其生物效应状况．展开更多
基金国家自然科学基金 (No 2 0 2 0 60 2 9)教育部留学回国人员科研启动基金资助项目~~
文摘The biomass pulse-response method was established and the biomass transmission index was introduced as a quantitative parameter for evaluating the biomass-adsorbent interactions in the expanded bed.With baker’s yeast intact cells and cell debris as the model biomass and anion exchanger Streamline DEAE as the model adsorbent, a series of factors were investigated to optimize the evaluation method.The appropriate operation conditions were chosen as the OD 600 of biomass pulse at the range of 0.5—0.6, and pulse loading at 80% volume of sedimented bed, expansion factor at 2.5.The method was then used to study the influence of ionic strength of fluid phase on the biomass-adsorbent interactions.The consistent results and slight measurement errors demonstrated that the biomass pulse-response method established in the present work is feasible, reliable and effective for quantitative evaluation of biomass-adsorbent interactions in the expanded bed.
文摘Objectives.: The purpose of this study is to discover potential biomarkers for the detection and monitoring of adjuvant chemotherapy for ovarian cancer. Methods.: Serum samples from ovarian cancers and non-cancer controls were analyzed using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry(SELDI-TOF-MS). To discover the possible diagnostic biomarker for ovarian cancer, a preliminary training set of spectra derived from 31 primary ovarian cancer patients, 16 patients with benign ovarian diseases, and 25 healthy women was used to develop a proteomic model that discriminated cancer from non-cancer effectively. A blind test set, including 43 new cases, was used to validate the sensitivity and specificity of this multivariate model. To explore treatment-induced serum protein change, the protein profiles generated from 16 postoperative patients before chemotherapy are compared with those obtained after chemotherapy. Results.: A Four-peak model was established in the training set that discriminated cancer from non-cancer with sensitivity of 90.8%and specificity of 93.5%. A sensitivity of 87.0%and a specificity of 95.0%for the blind test were obtained, compared with 60.7%, 55%for CA125 for the same samples. These 4 markers performed significantly better than the current standard marker, CA125(P< 0.05). One protein peak(mass/charge ratio[m/z], 4475) was identified in 12 of 16(75%) postoperative patients after chemotherapy, but was absent before chemotherapy. Conclusion.: The proteins represented by these peaks are candidate biomarkers for ovarian cancer diagnosis and/or monitoring treatment response.
