Real-time automated monitoring and control of ultrafiltration/diafiltration (uf/df) conditioning and dilution processes

A computer-implemented method of controlling an ultrafiltration/diafiltration (UF/DF) pool conditioning process, comprising:

• receiving, by a processor and from a Raman spectrometer operationally coupled to a recovery vessel that contains a conditioned UF/DF pool, a first Raman measurement of the conditioned UF/DF pool, wherein the recovery vessel is downstream from an UF/DF operation and receives a UF/DF pool for conditioning with a buffer to form the conditioned UF/DF pool;
• predicting, by the processor, using a trained machine learning model receiving the first Raman measurement as an input, one or more product quality attributes of the conditioned UF/DF pool, wherein the one or more product quality attributes include a first protein concentration of the conditioned UF/DF pool;
• computing, by the processor, a weight indicator of the recovery vessel that corresponds to a second protein concentration of the conditioned UF/DF pool that is different from the first protein concentration of the conditioned UF/DF pool;
• and
• outputting, by the processor, an indication of whether to add or cease adding the buffer into the recovery vessel based on the computed weight indicator of the recovery vessel.

A system, comprising:

• a ultrafiltration/diafiltration (UF/DF) pool recovery system including:
• a recovery vessel downstream from an UF/DF operation and configured to receive and store a UF/DF pool conditioned with a buffer;
• and
• a Raman spectrometer operationally coupled to the recovery vessel and configured to perform a Raman measurement of the conditioned UF/DF pool;
• and
• a communication module operationally coupled to a remote computing platform and the Raman spectrometer and configured to:
• (i) receive the Raman measurement from the Raman spectrometer and upload the Raman measurement to the remote computing platform for prediction of one or more product quality attributes by the remote computing platform based on the Raman measurement;
• and (ii) transmit a signal, received from the remote computing platform and related to the one or more product quality attributes, to the UF/DF pool recovery system, wherein:
• a latency between the receiving of the Raman measurement at the communication module and the transmission of the signal to the UF/DF pool recovery system satisfies a predetermined latency threshold.