A hybrid GMDH neural network model has been developed in order to predict the partition coefficients of invertase from Baker's yeast. ATPS experiments were carried out changing the molar average mass of PEG(1500–...A hybrid GMDH neural network model has been developed in order to predict the partition coefficients of invertase from Baker's yeast. ATPS experiments were carried out changing the molar average mass of PEG(1500–6000 Da), p H(4.0–7.0), percentage of PEG(10.0–20.0 w/w), percentage of MgSO_4(8.0–16.0 w/w), percentage of the cell homogenate(10.0–20.0 w/w) and the percentage of MnSO_4(0–5.0 w/w) added as cosolute. The network evaluation was carried out comparing the partition coefficients obtained from the hybrid GMDH neural network with the experimental data using different statistical metrics. The hybrid GMDH neural network model showed better fitting(AARD = 32.752%) as well as good generalization capacity of the partition coefficients of the ATPS than the original GMDH network approach and a BPANN model. Therefore hybrid GMDH neural network model appears as a powerful tool for predicting partition coefficients during downstream processing of biomolecules.展开更多
The interesting phenopmena of two aqueous phases coexisting in dilute aqueous solutions of sodium undecenoate-dodecyltrimethylammo brodride ndxture and sodium laurate-dodecyltrimethylammonium brondde mixture were inve...The interesting phenopmena of two aqueous phases coexisting in dilute aqueous solutions of sodium undecenoate-dodecyltrimethylammo brodride ndxture and sodium laurate-dodecyltrimethylammonium brondde mixture were investigated. Vesicles existing in both phases were shown by TEM images. The vesicles are dispersed in lower phase and flocculated in upper phase. Multilamellar structure of vesicles was found in the upper phase of sodium laurate-dodecyltrimethylammonium bromide system.展开更多
Hydrogel microcapsules are powerful microreactor vessels that have attracted widespread attention and research.Among the various methods for their generation,the aqueous two-phase system(ATPS)is by far the most straig...Hydrogel microcapsules are powerful microreactor vessels that have attracted widespread attention and research.Among the various methods for their generation,the aqueous two-phase system(ATPS)is by far the most straightforward approach.However,the high viscosity of ATPS solutions significantly limits the generation throughput of hydrogel microcapsule.In this study,we developed a novel high-throughput approach for generating hydrogel microcapsules using a microfluidic bubble-triggering strategy.By integrating constant-pressure air flow with droplet microfluidics devices,we efficiently manipulated the formation of ATPS droplet through bubble-induced Rayleigh-Plateau instability,enabling the production of uniform,monodisperse microcapsules.Additionally,the droplet generation frequency in the bubble-triggering method exceeded 36 kHz.We further demonstrated the encapsulation of genetically engineered Escherichia coli strains,which acted as biosensors for arsenic ions and caprolactam,highlighting the potential of these microcapsules for biosensing applications.This advancement in hydrogel microcapsule generation offers promising implications for scalable applications in biosensing,organoid culture,and high-throughput screening.展开更多
In order to obtain a better enantioselectivity of phenylalanine enantiomers and establish the optimal chiral ex- traction conditions, the distribution behavior was investigated in aqueous two-phase systems which were ...In order to obtain a better enantioselectivity of phenylalanine enantiomers and establish the optimal chiral ex- traction conditions, the distribution behavior was investigated in aqueous two-phase systems which were composed of polyethylene glycol and ammonium sulfate containing combinatorial chiral selector： β-cyclodextrin and HP-β-cyclodextrin. The influence of the molar concentration ratio of combinatorial chiral selectors, the total molar concentration of combinatorial chiral selectors, pH value, buffer type and its concentration were thoroughly studied, respectively. The results show that the enantioselectivity reaches 1.53 under the optimal chiral extraction conditions This extraction is a potential economical and effective way for chiral resolution.展开更多
基金CAPES and Brazilian National Council of Research (CNPq) (Grant 407684/2013-1) for the financial support
文摘A hybrid GMDH neural network model has been developed in order to predict the partition coefficients of invertase from Baker's yeast. ATPS experiments were carried out changing the molar average mass of PEG(1500–6000 Da), p H(4.0–7.0), percentage of PEG(10.0–20.0 w/w), percentage of MgSO_4(8.0–16.0 w/w), percentage of the cell homogenate(10.0–20.0 w/w) and the percentage of MnSO_4(0–5.0 w/w) added as cosolute. The network evaluation was carried out comparing the partition coefficients obtained from the hybrid GMDH neural network with the experimental data using different statistical metrics. The hybrid GMDH neural network model showed better fitting(AARD = 32.752%) as well as good generalization capacity of the partition coefficients of the ATPS than the original GMDH network approach and a BPANN model. Therefore hybrid GMDH neural network model appears as a powerful tool for predicting partition coefficients during downstream processing of biomolecules.
文摘The interesting phenopmena of two aqueous phases coexisting in dilute aqueous solutions of sodium undecenoate-dodecyltrimethylammo brodride ndxture and sodium laurate-dodecyltrimethylammonium brondde mixture were investigated. Vesicles existing in both phases were shown by TEM images. The vesicles are dispersed in lower phase and flocculated in upper phase. Multilamellar structure of vesicles was found in the upper phase of sodium laurate-dodecyltrimethylammonium bromide system.
基金sponsored by the National Key R&D Program of China(no.2023YFB3208203)the National Natural Science Foundation of China(no.62374170)the Science and Technology Commission of Shanghai Municipality(no.23J21900200).
文摘Hydrogel microcapsules are powerful microreactor vessels that have attracted widespread attention and research.Among the various methods for their generation,the aqueous two-phase system(ATPS)is by far the most straightforward approach.However,the high viscosity of ATPS solutions significantly limits the generation throughput of hydrogel microcapsule.In this study,we developed a novel high-throughput approach for generating hydrogel microcapsules using a microfluidic bubble-triggering strategy.By integrating constant-pressure air flow with droplet microfluidics devices,we efficiently manipulated the formation of ATPS droplet through bubble-induced Rayleigh-Plateau instability,enabling the production of uniform,monodisperse microcapsules.Additionally,the droplet generation frequency in the bubble-triggering method exceeded 36 kHz.We further demonstrated the encapsulation of genetically engineered Escherichia coli strains,which acted as biosensors for arsenic ions and caprolactam,highlighting the potential of these microcapsules for biosensing applications.This advancement in hydrogel microcapsule generation offers promising implications for scalable applications in biosensing,organoid culture,and high-throughput screening.
文摘In order to obtain a better enantioselectivity of phenylalanine enantiomers and establish the optimal chiral ex- traction conditions, the distribution behavior was investigated in aqueous two-phase systems which were composed of polyethylene glycol and ammonium sulfate containing combinatorial chiral selector： β-cyclodextrin and HP-β-cyclodextrin. The influence of the molar concentration ratio of combinatorial chiral selectors, the total molar concentration of combinatorial chiral selectors, pH value, buffer type and its concentration were thoroughly studied, respectively. The results show that the enantioselectivity reaches 1.53 under the optimal chiral extraction conditions This extraction is a potential economical and effective way for chiral resolution.
