Systems and methods for a refinement processing of xylitol fermentation broth

1 . A method for a refinement processing of xylitol fermentation broth, wherein the method is implemented on a system, and the method comprises:

step 1 , performing an impurity removal, rinsing, and acidolysis processing on a raw material containing xylitol to obtain fermentation raw material liquid, obtaining the xylitol fermentation broth by performing a fermentation processing using genetic engineering bacteria after performing a concentration processing on the fermentation raw material liquid until a xylose concentration is greater than a preset concentration, and performing a standing stratification processing on the xylitol fermentation broth to obtain sediments and supernatant fermentation broth respectively;

step 2 , performing a filtration processing on the supernatant fermentation broth through a ceramic membrane filter to obtain ceramic membrane discharge liquid excluding bacteria and large particle impurities;

step 3 , conveying the ceramic membrane discharge liquid to a nanofiltration membrane filter for a nanofiltration membrane filtration processing to retain impurity molecules with a molecular weight greater than a preset value to obtain nanofiltration liquid;

step 4 , performing an activated carbon filtration processing on the nanofiltration liquid by using activated carbons, and passing through ion exchange columns in sequence for an ion exchange processing to obtain xylitol ion exchange liquid; and

step 5 , performing the refinement processing on the xylitol ion exchange liquid through a refinement component to obtain a xylitol crystal product.

2 . The method of claim 1 , further comprising:

step 6 , mixing mother liquor obtained during the refinement processing with the xylitol ion exchange liquid and performing an evaporation and concentration processing on the mixed mother liquor and the xylitol ion exchange liquid to recycle the mother liquor.

3 . The method of claim 1 , wherein a solid content of the fermentation raw material liquid is within a range of 10%~13%, an electrical conductivity of the fermentation raw material liquid is within a range of 14,000 μs/cm~16,000 μs/cm, and a pH value of the fermentation raw material liquid is within a range of 6.0~6.8.

4 . The method of claim 1 , wherein the raw material containing xylitol includes a corncob.

5 . The method of claim 1 , wherein the preset concentration is 500 g/L.

6 . The method of claim 1 , wherein a feed temperature is within a range of 36° C.~48° C. and a filtration pressure is within a range of 0.2 MPa~0.4 Mpa.

7 . The method of claim 1 , wherein the preset value is 400 Da.

8 . The method of claim 1 , wherein a transmittance of the nanofiltration liquid is within a range of 20%~40%.

9 . The method of claim 1 , wherein a feed temperature of the nanofiltration membrane filtration processing is within a range of 36° C.~48° C. and a filtration pressure of the nanofiltration membrane filtration processing is within a range of 2.5 Mpa~3.3 MPa.

10 . The method of claim 1 , wherein an amount of the activated carbons is within a range of 0.5%~1.0%.

11 . The method of claim 1 , wherein an electrical conductivity of the xylitol ion exchange liquid is less than 20 μs/cm.

12 . The method of claim 1 , wherein the refinement processing in the step 5 comprises:

performing an evaporation and concentration processing and then performing a cooling and crystallization processing to obtain xylitol massecuite;

performing a centrifugation processing on the xylitol massecuite to obtain a crystal xylitol and mother liquor; and

performing a drying processing on the crystal xylitol to obtain a refined xylitol crystal product.

13 . The method of claim 12 , wherein a refraction of the xylitol ion exchange liquid is within a range of 78%~82% through the evaporation and concentration processing.

14 . The method of claim 1 , wherein the method further includes:

determining a product quality of the nanofiltration liquid based on a physico-chemical parameter of the nanofiltration liquid and a nanofiltration membrane parameter; and

determining a filtration parameter of an activated carbon filter based on the product quality of the nanofiltration liquid.

15 . The method of claim 14 , wherein the method further includes:

during the filtration processing of the nanofiltration liquid through the activated carbon filter, evaluating a decolorization effect based on a chroma image sequence including chroma images captured at a plurality of time points in the filtration process; and

adjusting the filtration parameter of the activated carbon filter in response to a determining that the decolorization effect does not satisfy a preset requirement of the decolorization effect.

16 . The method of claim 15 , wherein the adjusting the filtration parameter of the activated carbon filter includes increasing the amount of the activated carbons, increasing or decreasing a temperature.

17 . The method of claim 15 , wherein the decolorization effect is evaluated based on the chroma image sequence including chroma images captured at the plurality of time points in the filtration process.

18 . The method of claim 17 , wherein the evaluating the decolorization effect further includes:

calculating a decolorization rate in a completed time period and predicting a decolorization rate in a future time period according to the chroma image sequence; and

evaluating the decolorization effect based on the decolorization rate in the completed time period and the predicted decolorization rate in the future time period.

19 . The method of claim 18 , wherein the decolorization rate in the future time period is predicted based on a decolorization rate prediction model, the decolorization rate prediction model is a model predicting the decolorization rate in the future time period, the decolorization rate prediction model is a machine learning model.