Chemical and Biochemical Engineering

Dr. Lalita Kanwar Shekhawat
 
Dr. Lalita Kanwar Shekhawat
Assistant Professor Grade-II
PhD (Chemical Engineering), IIT Delhi (2019)
Ph: +91-612-302-
Email: lalita[*AT]iitp.ac.in
Research Areas :
  • Bioprocessing and Bioseparation: Downstream processing of therapeutic proteins; Development and optimization of chromatographic purification of monoclonal and bispecific antibodies; Quality by design: Design of Experiments and High-throughput process development, Mechanistic modeling of chromatographic separation process, Process analytical Tools (PATs), Computational fluid dynamics (CFD)
Other Interests : Lab scale development of crystallization process development and optimization for Active Pharmaceutical Ingredients (APIs) and its scale-up
Courses taught at IITP :
  • Fluid Mechanics
  • Transport Phenomena
No. of PhD Students : N/A
Professional Experience :
Sl. No. Organisation / Institute Position held Nature of duties / work Date of joining Date of leaving

1.

 Cytiva Uppsala (formerly GE Healthcare) Scientist- R&D
  • High-throughput screening of chromatography resins.
  • Development and optimization of bispecific and monoclonal antibodies chromatography purification process.
  • Mechanistic and empirically modeling of chromatography process.
 30-3-2019  15-08-2023 
Post-docScientist- R&D 30-3-2019 30-3-2020
2. Dr. Reddy’s Laboratories, Hyderabad Scientist- R&D
  • Crystallization process development for Active Pharmaceutical Ingredients (APIs): (i) Bazedoxifene acetate and (ii) Linagliptin at lab scale and scaled up the process up to 2kg in plant.
  • Scale-up of the process from lab to plant scale accomplished using Design of experiments (DOE) as Quality by Design (QbD) tool.
  • Patent granted from “World Intellectual Property Organization” for novel polymorph for both APIs.
 5-7-2010 15-7-2013
3. GE Plastics, Bangalore – John F. Welch Technology Center  Graduate Engineer Trainee
  • Experimental study of effect of catalyst impurities on reaction yield (for Chlorophthalic anhydride production from Chloroxylene) – this has potential to save fresh catalyst usage in plant by recycle.
  • Screening different adsorbents for adsorbing chlorophthalic anhydride vapours. This screens potential process options for environment safety factors.
 30-1-2006 29-6-2007
Awards & Honours :
  • Under IIChE-Award 2013-2014, 3 awards i.e. Chemical Weekly Award, IIChE NRC Award, and Kuloor Memorial Award for the best technical paper “Chemical Engineering and the Mitigation of Fluorosis” published in the journal of Indian chemical engineer
  • APRECIATION AWARD – U2 PROJECT for HPP Program GE Plastics.
  • Dr. Reddy’s Laboratories Ltd “BEST INNOVATION TEAM AWARD”- Process development and scale-up of novel polymorph of Bazedoxifene acetate API using DOE under QbD paradigm.
  • GRANT: US9212172B2: Preparation of crystalline Bazedoxifene and its salts
  • Cytiva Sweden AB, Employee Performance Award 2021
Membership of Professional Bodies : N/A
Books / Book Chapters :
  1. Book Chapter: Rathore, A. S., Shekhawat, L. K., Loomba, V. (2016), Computational Fluid Dynamics for Bioreactor Design. In Carl-Fredrik Mandenius (Eds.), Bioreactors: Design, Operation and Novel Applications (pp. 295-320), John Wiley & Sons, Germany.
Publications : International Journal:
  1. Rohit, Kanwar, L., Rao, K. K. (2010). Development of a low-cost portable colorimeter for the estimation of fluoride in drinking water. Sensors and Actuators B: Chemical, 149(1), 245-251.
  2. Shreyas, L., Kanwar, L., Rao, K. K. (2013). Chemical Engineering and the Mitigation of Fluorosis. Indian Chemical Engineer, 55(1), 38-49
  3. Shekhawat, L. K., Manvar, A. P., Rathore, A. S. (2016). Enablers for QbD implementation: Mechanistic modeling for ion-exchange membrane chromatography. Journal of Membrane Science, 500, 86-98.
  4. Sarkar, J., Shekhawat, L. K., Loomba, V., Rathore, A. S. (2016). CFD of mixing of multi‐phase flow in a bioreactor using population balance model. Biotechnology progress, 32(3), 613-628.
  5. Shekhawat, L. K., Chandak, M., & Rathore, A. S (2017). Mechanistic modeling of hydrophobic interaction chromatography for monoclonal antibody purification: Process optimization in the quality by design paradigm. Journal of Chemical Technology and Biotechnology. 92(10), 2527-2537.
  6. Ramakrishnan, S., Yarraguntla, S. R., Peddireddy, S. R., Kanniah, S. L., Mudapaka, V. K., Shekhawat, L. K., Stephens, P. W. (2017). Development of Pharmaceutically Acceptable Crystalline Forms of Drug Substances via Solid-State Solvent Exchange. Organic Process Research and Development, 21(10), 1478-1487.
  7. Shekhawat, L. K., Sarkar, J., Gupta, R., Hadpe, S., Rathore, A. S. (2017). Application of CFD in bioprocessing: Separation of mammalian cells using disc stack centrifuge during production of biotherapeutics. Journal of Biotechnology, 267, 1-11.
  8. Shekhawat, L. K., Pathak, M., Sakar, J., Rathore, A. S. (2018). Process development in the QbD paradigm: Modeling of Protein-A chromatography resin fouling. Journal of Chromatography A 1570, 56-66. DOI:10.1016/j.chroma.2018.07.060.
  9. Shekhawat, L. K., Godara, A., Kumar, V., Rathore, A. S. (2018). Design of Experiments Application in Bioprocessing: Chromatography process development. Biotechnology Progress. DOI:10.1002/btpr.2730
  10. Shekhawat, L. K., Rathore, A. S. (2019). Mechanistic modeling based process analytical technology implementation for pooling in hydrophobic interaction chromatography. Biotechnology Progress. 35(2), p.e2758
  11. Shekhawat, L. K., Rathore, A. S. (2019). An overview of mechanistic modelling of liquid chromatography. Preparative Biochemistry and Biotechnology 49, 623-638. DOI: 10.1080/10826068.2019.1615504
  12. Nair, A.M., Dhawangale, A., Chandra, S., Shekhawat, L.K., Rathore, A.S. and Mukherji, S. (2020). Polymer-coated fiber optic sensor as a process analytical tool for biopharmaceutical impurity detection. IEEE Transactions on Instrumentation and Measurement, 69(10), 7666-7674.
  13. Shekhawat, L. K., Tiwari, A., Yamamoto, S., & Rathore, A. S. (2022). An accelerated approach for mechanistic model based prediction of linear gradient elution ion-exchange chromatography of proteins. Journal of Chromatography A, 1680, 463423.
  14. Shekhawat, L. K., Markle, T., Esfandiarfard, K., Theel, E. K., Maloisel, J. L., & Malmquist, G. (2023). Next generation multimodal chromatography resins via an iterative mapping approach: Chemical diversity, high-throughput screening, and chromatographic modelling. Journal of Chromatography A, 1699, 464018.
  15. Hahn, T., Trunzer, T., Rusly, F., Zolyomi, R., Shekhawat, L. K., Malmquist, G., Tjandra, H. (2023). Predictive scaling of fiber-based protein A capture chromatography using mechanistic modeling. Biotechnology and Bioengineering.
Presentations :
  1. Shekhawat, L. K., Manvar, A. P., Rathore, A. S. (2016). Enablers for QbD implementation: Mechanistic modeling for ion-exchange membrane chromatography. Journal of Membrane Science, 500, 86-98. (Impact factor: 6.578) [oral presentation in 253rd ACS National Meeting in San Francisco, California]
  2. Sarkar, J., Shekhawat, L. K., Loomba, V., Rathore, A. S. (2016). CFD of mixing of multi‐phase flow in a bioreactor using population balance model. Biotechnology progress, 32(3), 613-628. (Impact factor:2.681) [poster presentation in 253rd ACS National Meeting in San Francisco, California]
  3. Shekhawat, L. K., Godara, A., Kumar, V., Rathore, A. S. (2019). Design of Experiments Application in Bioprocessing: Chromatography process development. Biotechnology Progress, 35(1), p.e. 2730. (Impact factor: 2.681) [poster presentation in 253rd ACS National Meeting in San Francisco, California]
  4. Shekhawat, L.K., Keyhan Esfandiarfard, Eike Kristian Theel, Todd Markle, Jean-Luc Maloisel, Gunnar Malmquist (2020). Next generation multimodal chromatography resins via an iterative mapping approach: chemical diversity, high-throughput screening, and chromatographic modelling. [paper presentation in 259th ACS National Meeting in Philadelphia, Pennsylvania]
  5. Shekhawat, L.K., Todd Markle, Jean-Luc Maloisel, Gunnar Malmquist (2021). Mechanistic modeling of multimodal chromatography for a separation of a monoclonal antibody from product-related impurities: Fab fragment and aggregates. [paper presentation in 262th ACS National Meeting in Atlanta, Georgia]
  6. Shekhawat, L.K., Todd Markle, Jean-Luc Maloisel, Gunnar Malmquist (2021). Mechanistic modeling of multimodal chromatography for a separation of a monoclonal antibody from product-related impurities: Fab fragment and aggregates. [paper presentation in 87th International Chemical Engineering Symposia 2022, SCEJ, Japan]

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