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Siliang Zhang - One of the best experts on this subject based on the ideXlab platform.

  • optimization of cellulase mixture for efficient hydrolysis of steam exploded corn stover by statistically designed experiments
    Bioresource Technology, 2009
    Co-Authors: Jin Zhou, Yonghong Wang, Ju Chu, Lingzhi Luo, Yingping Zhuang, Siliang Zhang
    Abstract:

    Abstract To improve the enzymatic hydrolytic efficiency and reduce production cost, a statistically designed experimental approach was used to optimize the composition of cellulase mixture so as to maximize the amount of Glucose produced from steam-exploded corn stover (SECS). Using seven purified enzymes (cellobiohydrolases, Cel7A, Cel6A, Cel6B; endoglucanases, Cel7B, Cel12A, Cel61A; and β-glucosidase) from Trichoderma viride T 100-14 mutant strain, a multi-enzyme mixture was constituted after screening and optimization. The final optimal composition (mol%) of the multi-enzyme mixture was Cel7A (19.8%), Cel6A (37.5%), Cel6B (4.7%), Cel7B (17.7%), Cel12A (15.2%), Cel61A (2.3%) and β-glucosidase (2.8%). The subsequent verification experiments followed by Glucose Assay together with scanning electron microscopy (SEM) observation confirmed the validity of the models. The multi-enzyme mixture displayed a high performance in converting the cellulosic substrate (SECS). The amount of Glucose produced (15.5 mg/ml) was 2.1 times as that of the crude cellulase preparation. The results indicated that the optimized cellulase mixture is an available and efficient paradigm for the hydrolysis of lignocellulosic substrate. The enhanced cellulolytic activity displayed by the constructed cellulase mixture could be used as an effective tool for producing bioethanol efficiently from cellulose.

  • optimization of cellulase mixture for efficient hydrolysis of steam exploded corn stover by statistically designed experiments
    Bioresource Technology, 2009
    Co-Authors: Jin Zhou, Yonghong Wang, Ju Chu, Lingzhi Luo, Yingping Zhuang, Siliang Zhang
    Abstract:

    To improve the enzymatic hydrolytic efficiency and reduce production cost, a statistically designed experimental approach was used to optimize the composition of cellulase mixture so as to maximize the amount of Glucose produced from steam-exploded corn stover (SECS). Using seven purified enzymes (cellobiohydrolases, Cel7A, Cel6A, Cel6B; endoglucanases, Cel7B, Cel12A, Cel61A; and beta-glucosidase) from Trichoderma viride T 100-14 mutant strain, a multi-enzyme mixture was constituted after screening and optimization. The final optimal composition (mol%) of the multi-enzyme mixture was Cel7A (19.8%), Cel6A (37.5%), Cel6B (4.7%), Cel7B (17.7%), Cel12A (15.2%), Cel61A (2.3%) and beta-glucosidase (2.8%). The subsequent verification experiments followed by Glucose Assay together with scanning electron microscopy (SEM) observation confirmed the validity of the models. The multi-enzyme mixture displayed a high performance in converting the cellulosic substrate (SECS). The amount of Glucose produced (15.5mg/ml) was 2.1 times as that of the crude cellulase preparation. The results indicated that the optimized cellulase mixture is an available and efficient paradigm for the hydrolysis of lignocellulosic substrate. The enhanced cellulolytic activity displayed by the constructed cellulase mixture could be used as an effective tool for producing bioethanol efficiently from cellulose.

Jin Zhou - One of the best experts on this subject based on the ideXlab platform.

  • optimization of cellulase mixture for efficient hydrolysis of steam exploded corn stover by statistically designed experiments
    Bioresource Technology, 2009
    Co-Authors: Jin Zhou, Yonghong Wang, Ju Chu, Lingzhi Luo, Yingping Zhuang, Siliang Zhang
    Abstract:

    Abstract To improve the enzymatic hydrolytic efficiency and reduce production cost, a statistically designed experimental approach was used to optimize the composition of cellulase mixture so as to maximize the amount of Glucose produced from steam-exploded corn stover (SECS). Using seven purified enzymes (cellobiohydrolases, Cel7A, Cel6A, Cel6B; endoglucanases, Cel7B, Cel12A, Cel61A; and β-glucosidase) from Trichoderma viride T 100-14 mutant strain, a multi-enzyme mixture was constituted after screening and optimization. The final optimal composition (mol%) of the multi-enzyme mixture was Cel7A (19.8%), Cel6A (37.5%), Cel6B (4.7%), Cel7B (17.7%), Cel12A (15.2%), Cel61A (2.3%) and β-glucosidase (2.8%). The subsequent verification experiments followed by Glucose Assay together with scanning electron microscopy (SEM) observation confirmed the validity of the models. The multi-enzyme mixture displayed a high performance in converting the cellulosic substrate (SECS). The amount of Glucose produced (15.5 mg/ml) was 2.1 times as that of the crude cellulase preparation. The results indicated that the optimized cellulase mixture is an available and efficient paradigm for the hydrolysis of lignocellulosic substrate. The enhanced cellulolytic activity displayed by the constructed cellulase mixture could be used as an effective tool for producing bioethanol efficiently from cellulose.

  • optimization of cellulase mixture for efficient hydrolysis of steam exploded corn stover by statistically designed experiments
    Bioresource Technology, 2009
    Co-Authors: Jin Zhou, Yonghong Wang, Ju Chu, Lingzhi Luo, Yingping Zhuang, Siliang Zhang
    Abstract:

    To improve the enzymatic hydrolytic efficiency and reduce production cost, a statistically designed experimental approach was used to optimize the composition of cellulase mixture so as to maximize the amount of Glucose produced from steam-exploded corn stover (SECS). Using seven purified enzymes (cellobiohydrolases, Cel7A, Cel6A, Cel6B; endoglucanases, Cel7B, Cel12A, Cel61A; and beta-glucosidase) from Trichoderma viride T 100-14 mutant strain, a multi-enzyme mixture was constituted after screening and optimization. The final optimal composition (mol%) of the multi-enzyme mixture was Cel7A (19.8%), Cel6A (37.5%), Cel6B (4.7%), Cel7B (17.7%), Cel12A (15.2%), Cel61A (2.3%) and beta-glucosidase (2.8%). The subsequent verification experiments followed by Glucose Assay together with scanning electron microscopy (SEM) observation confirmed the validity of the models. The multi-enzyme mixture displayed a high performance in converting the cellulosic substrate (SECS). The amount of Glucose produced (15.5mg/ml) was 2.1 times as that of the crude cellulase preparation. The results indicated that the optimized cellulase mixture is an available and efficient paradigm for the hydrolysis of lignocellulosic substrate. The enhanced cellulolytic activity displayed by the constructed cellulase mixture could be used as an effective tool for producing bioethanol efficiently from cellulose.

Weixin Wang - One of the best experts on this subject based on the ideXlab platform.

  • phytochemicals from camellia nitidissima chi inhibited the formation of advanced glycation end products by scavenging methylglyoxal
    Food Chemistry, 2016
    Co-Authors: Weixin Wang, Zhennan Wang, Jing Qi, Shengtao Yuan, Weijie Zhang, Hongjuan Chen, John W Finley, Liwei Gu
    Abstract:

    Abstract The objective of this study was to investigate the inhibitory effects of Camellia nitidissima Chi (CNC) on the advanced glycation end-product (AGE) formation. CNC was extracted with ethanol and further separated into dichloromethane, ethyl acetate, n -butanol, and water soluble fractions. Ethyl acetate fraction had the highest total phenolic and quercetin content compared with other fractions. Sixteen phenolic compounds were identified using HPLC Triple TOF MS/MS. Bovine serum albumin (BSA)–Glucose Assay showed that dichloromethane and ethyl acetate fraction inhibited AGE formation by 88.1% and 87.5% at 2.5 mg/mL. BSA–methylglyoxal Assay showed that ethyl acetate fraction inhibited 54.1% AGE formation while dichloromethane fraction inhibited 28.1%. Over 96.0% of methylglyoxal was scavenged by different fractions within 12 h. Both mono- and di-methylglyoxal quercetin adducts were identified after incubating quercetin with methylglyoxal using HPLC–ESI-MS n . The results in this study suggest that CNC extracts inhibited AGEs formation in part through scavenging methylglyoxal by phenolic compounds.

Michael G. Roper - One of the best experts on this subject based on the ideXlab platform.

  • online measurement of Glucose consumption from hepg2 cells using an integrated bioreactor and enzymatic Assay
    Analytical Chemistry, 2019
    Co-Authors: Anna G. Adams, Radha Krishna Murthy Bulusu, Nikita Mukhitov, Jose L Mendozacortes, Michael G. Roper
    Abstract:

    Hepatocytes help to maintain Glucose homeostasis in response to a variety of signals, including pancreatic hormones such as insulin. Insulin is released from the pancreas with variable dynamics, yet the role that these play in regulating Glucose metabolism in the liver is still unclear. In this study, a modular microfluidic system was developed to quantitatively measure the effect of insulin dynamics on Glucose consumption by a human hepatocarcinoma cell line, HepG2. A microfluidic bioreactor that contained 106 HepG2 cells was cultured for up to 10 days in an incubator. For Glucose consumption experiments, the bioreactor was removed from the incubator and connected with reagents for an enzymatic Glucose Assay. The mixed components were then delivered into a droplet-based microfluidic system where the intensity of the fluorescent product of the enzyme Assay was used to quantify the Glucose concentration. By optimizing the mixing time of the reagents, the dynamic range of the enzymatic Assay was adjusted to 0-12 mM Glucose and had a time resolution of 96 ± 12 s. The system was used to observe rapid changes in insulin-induced Glucose consumption from HepG2 cells. This Assay format is versatile and can be expanded to measure a variety of hepatic metabolites, such as lactate, pyruvate, or ketone bodies, which will enable the correlation of pancreatic hormone dynamics to liver metabolism.

  • Online Measurement of Glucose Consumption from HepG2 Cells Using an Integrated Bioreactor and Enzymatic Assay
    2019
    Co-Authors: Anna G. Adams, Radha Krishna Murthy Bulusu, Nikita Mukhitov, Jose L. Mendoza-cortes, Michael G. Roper
    Abstract:

    Hepatocytes help to maintain Glucose homeostasis in response to a variety of signals, including pancreatic hormones such as insulin. Insulin is released from the pancreas with variable dynamics, yet the role that these play in regulating Glucose metabolism in the liver is still unclear. In this study, a modular microfluidic system was developed to quantitatively measure the effect of insulin dynamics on Glucose consumption by a human hepatocarcinoma cell line, HepG2. A microfluidic bioreactor that contained 106 HepG2 cells was cultured for up to 10 days in an incubator. For Glucose consumption experiments, the bioreactor was removed from the incubator and connected with reagents for an enzymatic Glucose Assay. The mixed components were then delivered into a droplet-based microfluidic system where the intensity of the fluorescent product of the enzyme Assay was used to quantify the Glucose concentration. By optimizing the mixing time of the reagents, the dynamic range of the enzymatic Assay was adjusted to 0–12 mM Glucose and had a time resolution of 96 ± 12 s. The system was used to observe rapid changes in insulin-induced Glucose consumption from HepG2 cells. This Assay format is versatile and can be expanded to measure a variety of hepatic metabolites, such as lactate, pyruvate, or ketone bodies, which will enable the correlation of pancreatic hormone dynamics to liver metabolism

Y. Ozaki - One of the best experts on this subject based on the ideXlab platform.

  • Noninvasive blood Glucose Assay using a newly developed near-infrared system
    IEEE Journal of Selected Topics in Quantum Electronics, 2003
    Co-Authors: KATSUHIKO MARUO, M. Tsurugi, J. Chin, Hideki Arimoto, M Tamura, M. Ishii, Y. Yamada, Y. Ozaki
    Abstract:

    This paper reports in vivo near-infrared (NIR) noninvasive blood Glucose Assay using dermis tissue spectra. We assume that the Glucose content in dermis tissue traces the variations in blood Glucose. For dermis spectra measurements, epidermis, especially stratum corneum, acts as an interference in skin tissue. Thus, we have developed a method for the selective measurement of dermis tissue spectra, enabling us to obtain better quality spectra for an accurate blood Glucose Assay. The selective measurement of the dermis spectra realized by using a newly developed fiber-optic probe that consists of source and detector optical fibers separated by 0.65 mm on a skin surface. The light path in the skin tissue for this geometry has been simulated by a Monte Carlo method. The simulation results show that detected light mainly interrogates dermis tissue. As the absorbance signal of Glucose in human tissue is extremely small, the quality of the measured spectra is critical for the reliable Assay. The present method for blood Glucose Assay has been applied to one Type 1 diabetic. The correlation coefficient between the blood Glucose content predicted by NIR spectra and those measured by finger-prick was 0.928 and the standard error of prediction was 32.2 mg/dL. These results demonstrate the potential of our methodology for noninvasive NIR blood Glucose Assay.