Vitis vinifera cv.Chardonnay suspension cultures were established from proembryogenic mass and employed for optimizing Agrobacterium-mediated transformation system.One-factor-at-a-time experiment revealed that OD600 o...Vitis vinifera cv.Chardonnay suspension cultures were established from proembryogenic mass and employed for optimizing Agrobacterium-mediated transformation system.One-factor-at-a-time experiment revealed that OD600 of Agrobacterium,time of inoculation,co-cultivation,and cell-drying before inoculation significantly affected the transformation efficiency which reached maximum 21.5% at the following conditions：0.8 of OD600,25 min of inoculation,2 d of co-cultivation,and 10 min of cell drying.Response surface methodology experiments based on a five-level,four-factor central-composite rotatable design were then used to optimize these selected factors.The optimized conditions for Chardonnay grape transformation were：0.8711 of OD600,28.9 min of inoculation,2.25 d of co-cultivation and 11.76 min of cell drying.After optimization,transformation efficiency was 26.2% and there were no interactions among different factors.展开更多
A method for optimization of extraction of volatile compounds in Chardonnay wine was developed using headspace-solid phase microextraction (HS-SPME) and gas chromatography coupled with triple quadrupole tandem mass sp...A method for optimization of extraction of volatile compounds in Chardonnay wine was developed using headspace-solid phase microextraction (HS-SPME) and gas chromatography coupled with triple quadrupole tandem mass spectrometry (GC-MS/MS). Optimization of the HS-SPME conditions, temperature (T, °C) and extra-ction time (t, minutes), was carried out using a 2<sup>2</sup> factorial central composite rota- tional design (CCRD). Total area of chromatographic peaks of nineteen compounds was monitored in order to identify the best response and the data was collected on multiple reaction monitoring (MRM) mode. The mathematical model that describes the response surface for the CCRD was validated using the analysis of variance (ANO VA) with 95% of confidence level. This model showed a lack of fit based on mean square pure error ratios for each response, in which F<sub>calculated</sub> was 2.23 higher than F<sub>tabulated</sub>. Even though the models cannot be rigorously used to make quantitative predictions, the coefficients of the model, especially the linear ones, are useful for understanding systematic behaviour of the response values as a function of the factor levels. Multivariate statistical design can be used in optimization of HS-SPME extraction parameters with reduced number of experiments and can be useful in sampling method of volatile compounds of Chardonnay wines analysis by CG-MS/MS. The optimal condition achieved in this method was 30°C and 45 minutes of extraction.展开更多
基金supported by the 948 Program,Ministry of Agriculture,China(2006-G26)the National Grape Industry Technology System,China(nycytx-30-zy-05)
文摘Vitis vinifera cv.Chardonnay suspension cultures were established from proembryogenic mass and employed for optimizing Agrobacterium-mediated transformation system.One-factor-at-a-time experiment revealed that OD600 of Agrobacterium,time of inoculation,co-cultivation,and cell-drying before inoculation significantly affected the transformation efficiency which reached maximum 21.5% at the following conditions：0.8 of OD600,25 min of inoculation,2 d of co-cultivation,and 10 min of cell drying.Response surface methodology experiments based on a five-level,four-factor central-composite rotatable design were then used to optimize these selected factors.The optimized conditions for Chardonnay grape transformation were：0.8711 of OD600,28.9 min of inoculation,2.25 d of co-cultivation and 11.76 min of cell drying.After optimization,transformation efficiency was 26.2% and there were no interactions among different factors.
文摘A method for optimization of extraction of volatile compounds in Chardonnay wine was developed using headspace-solid phase microextraction (HS-SPME) and gas chromatography coupled with triple quadrupole tandem mass spectrometry (GC-MS/MS). Optimization of the HS-SPME conditions, temperature (T, °C) and extra-ction time (t, minutes), was carried out using a 2<sup>2</sup> factorial central composite rota- tional design (CCRD). Total area of chromatographic peaks of nineteen compounds was monitored in order to identify the best response and the data was collected on multiple reaction monitoring (MRM) mode. The mathematical model that describes the response surface for the CCRD was validated using the analysis of variance (ANO VA) with 95% of confidence level. This model showed a lack of fit based on mean square pure error ratios for each response, in which F<sub>calculated</sub> was 2.23 higher than F<sub>tabulated</sub>. Even though the models cannot be rigorously used to make quantitative predictions, the coefficients of the model, especially the linear ones, are useful for understanding systematic behaviour of the response values as a function of the factor levels. Multivariate statistical design can be used in optimization of HS-SPME extraction parameters with reduced number of experiments and can be useful in sampling method of volatile compounds of Chardonnay wines analysis by CG-MS/MS. The optimal condition achieved in this method was 30°C and 45 minutes of extraction.
