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公开(公告)号：US11192917B2
公开(公告)日：2021-12-07
申请号：US16473381
申请日：2017-12-28
摘要： The present invention relates to an ionic liquid based support of Formula-I: wherein: X+ is a heteroatom containing cationic part; W is a halogen containing polymeric solid support; n is an integer in the range of 2 to 8; Y is a hydrophobic anion; R is selected from CO—Z or Z; Z is selected from the group consisting of —Cl, —Br, —OH, —O-Alkyl and combinations thereof. The present invention also relates to a process for preparation of said ionic liquid based support used for di, oligo or polypeptide manufacture.
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2.发明申请公开(公告)号：US20190234928A1
公开(公告)日：2019-08-01
申请号：US15937397
申请日：2018-03-27
发明人： Rajeev Kumar , Ravi Kumar Voolapalli , Pranab Kumar Rakshit , Sanjay Bhargava , Sreedevi Upadhyayula
CPC分类号： G01N33/2823 , C10G7/12 , C10G31/08 , C10G75/00 , C10G2300/202 , C10G2300/302 , C10G2300/308 , C10L1/00 , G01N33/287
摘要： Methods and systems for predicting crude oil blend compatibility and optimizing blends for increasing heavy crude oil processing are described. The method includes receiving ratios of physical parameters of crude oils for optimization of crude oil blend. The physical parameter ratios are based on Kinematic Viscosity (V), Sulphur (S), Carbon Residue (C), and American Petroleum Institute (API) gravity. The crude oil blend compatibility (K model) is determined and generated using the physical parameter ratios. The K model is developed by coefficients obtained by regression analysis between the ratios of physical parameters of known crude oils and composite compatibility measure determined from multiple compatibility test results of the known crude oils. The predicted crude oil blend compatibility can be used for optimizing heavy crude oil processing.
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公开(公告)号：US11053277B2
公开(公告)日：2021-07-06
申请号：US16474678
申请日：2017-12-28
IPC分类号： C07K1/04
摘要： The present invention relates to a novel process for preparation of peptides having amino acid chain length in the range of 2-40 comprises the steps: i) attaching an end-blocked amino acid with an ionic liquid based solid support in presence of an ionic solvent to obtain an end-terminal blocked amino acid attached ionic liquid; ii) removing end-terminal blocking agent from the end-terminal blocked amino acid attached ionic liquid of step i) followed by work up to obtain an amino acid attached ionic liquid; iii) repeating steps i) through ii) one or more times to obtain a polypeptide attached ionic liquid; and iv) detaching the polypeptide from the polypeptide attached ionic liquid of step iii) to obtain the polypeptide. Said process does not use any auxiliary reagents like dehydrating agent or activating agent. The use of ionic liquids as supports as well as solvents result in the faster kinetics of the process, the separation issues are reduced, and the process has no racemization issues.
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公开(公告)号：US10365263B1
公开(公告)日：2019-07-30
申请号：US15937397
申请日：2018-03-27
发明人： Rajeev Kumar , Ravi Kumar Voolapalli , Pranab Kumar Rakshit , Sanjay Bhargava , Sreedevi Upadhyayula
CPC分类号： G01N33/2823 , C10G7/12 , C10G31/08 , C10G75/00 , C10G2300/202 , C10G2300/302 , C10G2300/308 , C10L1/00 , G01N33/287
摘要： Methods and systems for predicting crude oil blend compatibility and optimizing blends for increasing heavy crude oil processing are described. The method includes receiving ratios of physical parameters of crude oils for optimization of crude oil blend. The physical parameter ratios are based on Kinematic Viscosity (V), Sulphur (S), Carbon Residue (C), and American Petroleum Institute (API) gravity. The crude oil blend compatibility (K model) is determined and generated using the physical parameter ratios. The K model is developed by coefficients obtained by regression analysis between the ratios of physical parameters of known crude oils and composite compatibility measure determined from multiple compatibility test results of the known crude oils. The predicted crude oil blend compatibility can be used for optimizing heavy crude oil processing.
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