Near infrared spectroscopy （NIR） is now probably the most popular process analytical technology （PAT） for pharmaceutical and some other industries. However, unlike mid-IR, NIR is known to have difficulties in moni...Near infrared spectroscopy （NIR） is now probably the most popular process analytical technology （PAT） for pharmaceutical and some other industries. However, unlike mid-IR, NIR is known to have difficulties in monitoring crystallization or precipitation processes because the existence of solids could cause distortion of the spectra. This phenomenon, seen as unfavorable previously, is however an indication that NIR spectra contain rich information about both solids and liquids, giving the possibility of using the same instrument for multiple property characterization. In this study, transflectance NIR calibration data was obtained using solutions and slurries of varied solution concentration, particle size, solid concentration and temperature. The data was used to build calibration models for prediction of the multiple properties of both phases. Predictive models were developed for this challenging application using an approach that combines genetic algorithm （GA） and support vector machine （SVM）. GA is used for wavelength selection and SVM for mode building. The new GA-SVM approach is shown to outperform other methods including GA-PLS （partial least squares） and traditional SVM. NIR is thus successfully applied to monitoring seeded and unseeded cooling crystallization processes of L-glutamic acid.展开更多
Microbial cell factories(bacteria and fungi)are the leading producers of beneficial natural products such as lycopene,carotene,herbal medicine,and biodiesel etc.These microorganisms are considered efficient due to the...Microbial cell factories(bacteria and fungi)are the leading producers of beneficial natural products such as lycopene,carotene,herbal medicine,and biodiesel etc.These microorganisms are considered efficient due to their effective bioprocessing strategy(monoculture-and consortial-based approach)under distinct processing conditions.Meanwhile,the advancement in genetic and process optimization techniques leads to enhanced biosynthesis of natural products that are known functional ingredients with numerous applications in the food,cosmetic and medical industries.Natural consortia and monoculture thrive in nature in a small proportion,such as wastewater,food products,and soils.In similitude to natural consortia,it is possible to engineer artificial microbial consortia and program their behaviours via synthetic biology tools.Therefore,this review summarizes the optimization of genetic and physicochemical parameters of the microbial system for improved production of natural products.Also,this review presents a brief history of natural consortium and describes the functional properties of monocultures.This review focuses on synthetic biology tools that enable new approaches to design synthetic consortia;and highlights the syntropic interactions that determine the performance and stability of synthetic consortia.In particular,the effect of processing conditions and advanced genetic techniques to improve the productibility of both monoculture and consortial based systems have been greatly emphasized.In this context,possible strategies are also discussed to give an insight into microbial engineering for improved pro-duction of natural products in the future.In summary,it is concluded that the coupling of genomic modifications with optimum physicochemical factors would be promising for producing a robust microbial cell factory that shall contribute to the increased production of natural products.展开更多
基金UK Engineering and Physical Sciences Research Council for funding the research (EPSRCGrant Reference: EP/C001788/1)
文摘Near infrared spectroscopy （NIR） is now probably the most popular process analytical technology （PAT） for pharmaceutical and some other industries. However, unlike mid-IR, NIR is known to have difficulties in monitoring crystallization or precipitation processes because the existence of solids could cause distortion of the spectra. This phenomenon, seen as unfavorable previously, is however an indication that NIR spectra contain rich information about both solids and liquids, giving the possibility of using the same instrument for multiple property characterization. In this study, transflectance NIR calibration data was obtained using solutions and slurries of varied solution concentration, particle size, solid concentration and temperature. The data was used to build calibration models for prediction of the multiple properties of both phases. Predictive models were developed for this challenging application using an approach that combines genetic algorithm （GA） and support vector machine （SVM）. GA is used for wavelength selection and SVM for mode building. The new GA-SVM approach is shown to outperform other methods including GA-PLS （partial least squares） and traditional SVM. NIR is thus successfully applied to monitoring seeded and unseeded cooling crystallization processes of L-glutamic acid.
文摘Microbial cell factories(bacteria and fungi)are the leading producers of beneficial natural products such as lycopene,carotene,herbal medicine,and biodiesel etc.These microorganisms are considered efficient due to their effective bioprocessing strategy(monoculture-and consortial-based approach)under distinct processing conditions.Meanwhile,the advancement in genetic and process optimization techniques leads to enhanced biosynthesis of natural products that are known functional ingredients with numerous applications in the food,cosmetic and medical industries.Natural consortia and monoculture thrive in nature in a small proportion,such as wastewater,food products,and soils.In similitude to natural consortia,it is possible to engineer artificial microbial consortia and program their behaviours via synthetic biology tools.Therefore,this review summarizes the optimization of genetic and physicochemical parameters of the microbial system for improved production of natural products.Also,this review presents a brief history of natural consortium and describes the functional properties of monocultures.This review focuses on synthetic biology tools that enable new approaches to design synthetic consortia;and highlights the syntropic interactions that determine the performance and stability of synthetic consortia.In particular,the effect of processing conditions and advanced genetic techniques to improve the productibility of both monoculture and consortial based systems have been greatly emphasized.In this context,possible strategies are also discussed to give an insight into microbial engineering for improved pro-duction of natural products in the future.In summary,it is concluded that the coupling of genomic modifications with optimum physicochemical factors would be promising for producing a robust microbial cell factory that shall contribute to the increased production of natural products.
