Fluence Analytics
Fluence Analytics[edit]
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Fluence Analytics, formerly known as Advanced Polymer Monitoring Technologies (APMT), is based in New Orleans, Louisiana, US. The company was founded in 2012 after it spun out of PolyRMC, a nonprofit R&D organization within Tulane University’s Physics Department. The company produces real-time industrial and laboratory monitoring equipment for the polymer and biopharmaceutical industries. Fluence Analytics has two product lines. ACOMP[1] analyzes polymerizations during production, and ARGEN is a light scattering instrument that measures the stability of proteins and polymers under stress.[2]
History[edit]
In the 1980s, Wayne Reed, a physics professor at Tulane University, began using light scattering to characterize macromolecules. In 1997 he filed his first patent application[3] for a novel light scattering device, followed in 1999 by an application for the automatic monitoring of polymerization reactions.[4] After decades of research, Professor Reed founded PolyRMC in 2007 to advance research and development in polymerization reaction monitoring. Five years later, Professor Reed, Alex Reed, and Michael Drenski began exploring the idea of commercializing the organization's patented technologies. Alex and Michael worked at PolyRMC and eventually became Professor Reed’s co-founders at APMT, now known as Fluence Analytics. The final co-founder was Dr. Bill Bottoms, a PolyRMC board member.[5]
Shortly after APMT's creation, the company began working on a joint development project and launched the first-generation ACOMP in 2014.[6] In parallel, APMT secured SBIR funding to develop the ARGEN product line. During 2016 the company released a second-generation ACOMP for its first customer, and it delivered an ARGEN instrument to Professor Christopher Roberts, an expert in biopharmaceutical characterization, of the University of Delaware.
APMT rebranded to Fluence Analytics and announced the funding for a Series A round in 2017.[7] The company also had an official product launch for ARGEN and released the third-generation ACOMP in 2017.[8]
Products[edit]
ACOMP[edit]
ACOMP, Automatic Continuous Online Monitoring of Polymerization reactions[9], is comprised of pumps, mixing chambers, conditioning panels, sensors, and detectors.[10] The product continuously extracts and dilutes reactor contents so ACOMP's detectors can make accurate and consistent measurements of polymer properties.
While developing ACOMP’s technology, Professor Reed sought to analyze macromolecular properties in real time. In doing so, he developed a dynamic way to study many polymerization techniques, including free radical, controlled radical, solution, bulk, and emulsion reactions during synthesis.[11]
ACOMP, which is available as an industrial product or a laboratory system[12], provides real-time analysis of polymer properties, including molecular weight, intrinsic viscosity, residual monomer, monomer conversion, and polymer composition.[13] The integrated system delivers all data streams to manufacturing personnel via the plant’s distributed control system.[14] Companies interested in ACOMP can send material samples to Fluence Analytics which the company will use to evaluate feasibility and data correlations.
The first industrial ACOMP was installed in 2014 at a Nalco facility in Garyville, La. which was followed by a second-generation system in 2016. An article in the trade publication Chemical Processing documents the performance of the systems, citing an average 15-20% reduction in batch cycle times.[15]
In 2017 Fluence Analytics introduced a Proof of Concept offering that allows companies to use ACOMP at their own facilities on their own materials. The company also offers a platform as a service model for companies to lease ACOMP and the automation and software packages.
ARGEN[edit]
ARGEN, Aggregation Rate Generator, is a static light scattering instrument with multiple, independent sample cells. The laboratory instrument monitors the formation of aggregation, degradation, and particle formation, tracking the stability of proteins, peptides, and polymers under stress.[16] The instrument can utilize up to 16 combinations of various temperatures, stirring rates, buffers, excipients, and chemical stress sources to analyze behavior.[17]
By continuously monitoring a sample’s molecular weight, the instrument provides real-time aggregation data, identifies anomalies, and calculates the rate and total time for a sample to reach a predetermined condition. ARGEN also enables the direct comparison of protein and peptide samples with an aggregation rate output.[18]
Formerly known as Simultaneous Multiple Sample Light Scattering[19], ARGEN has been used by Pantex to monitor polymer degradation[20] and by the Roberts Lab at the University of Delaware to measure protein and peptide aggregation[21]. Fluence Analytics has the same offerings as it does for ACOMP to evaluate ARGEN's performance.
References[edit]
- ↑ Ozokwelu, Dickson (April 2016). "Development and Implementation of an Automatic Continuous Online Monitoring and Control Platform for Polymerization Reactions" (PDF). U.S. Department of Energy. Retrieved November 8, 2018.
- ↑ "Automated and Rapid Methods to Assess Quality & Stability of Biologics: Recent Developments and Practical Ways to Implement Them in Formulation Development". www.americanpharmaceuticalreview.com. Retrieved 2018-11-08.
- ↑ Reed, Wayne (April 2000). "Miniature, submersible, versatile, light scattering probe for absolute equilibrium and non-equilibrium characterization of macromolecular and colloidal solutions". Google Patents. Retrieved November 8, 2018.
- ↑ F., REED, Wayne, (2004-12-10). "AUTOMATIC MIXING AND DILUTION METHODS AND APPARATUS FOR ONLINE CHARACTERIZATION OF EQUILIBRIUM AND NON-EQUILIBRIUM PROPERTIES OF SOLUTIONS CONTAINING POLYMERS AND/OR COLLOIDS". patentscope.wipo.int. Retrieved 2018-11-08.
- ↑ "Advanced Polymer Monitoring Technologies, Inc.'s Investor Event Showcased Impact On T/ Year Polymer Industry". Retrieved 2018-11-05.
- ↑ "Polymer-reaction monitoring - Chemical Engineering | Page 1". www.chemengonline.com. Retrieved 2018-11-05.
- ↑ "Advanced Polymer Monitoring Technologies Changes Name, Raises Series A Financing". Retrieved 2018-11-08.
- ↑ "Tulane Spinoff Enables Smart QA in Polymers - Advanced Manufacturing". Advanced Manufacturing. 2018-02-07. Retrieved 2018-10-04.
- ↑ "Monitoring Polymerization Reactions: From Fundamentals to Applications". Wiley.com. 2014-01-21. Retrieved 2018-11-08.
- ↑ "Tulane University - ACOMP". www2.tulane.edu. Retrieved 2018-11-05.
- ↑ Florenzano, Fabio Herbst; Strelitzki, Roland; Reed, Wayne F. (September 1998). "Absolute, On-Line Monitoring of Molar Mass during Polymerization Reactions". Macromolecules. 31 (21): 7226–7238. doi:10.1021/ma980876e. ISSN 0024-9297.
- ↑ "Real-Time Monitoring and Control of Polymer Properties". www.americanlaboratory.com. Retrieved 2018-11-06.
- ↑ McAfee, Terry; Leonardi, Natalie; Montgomery, Rick; Siqueira, Julia; Zekoski, Thomas; Drenski, Michael F.; Reed, Wayne F. (2016-09-23). "Automatic Control of Polymer Molecular Weight during Synthesis". Macromolecules. 49 (19): 7170–7183. doi:10.1021/acs.macromol.6b01522. ISSN 0024-9297.
- ↑ "Real-Time Characterization of Polymer Properties and Reaction Characteristics". Retrieved 2018-10-04.
- ↑ Analytics, Grant Heard and Scott Meikle, Nalco Water, and Alex W. Reed and Michael F. Drenski, Fluence. "Online Monitoring Optimizes Polymerization Processes". Chemical Processing. Retrieved 2018-10-04.
- ↑ "Kinetic Analysis of Peptide Aggregation". GEN - Genetic Engineering and Biotechnology News. 2018-09-14. Retrieved 2018-11-07.
- ↑ Jarand, Curtis W.; Reed, Wayne F. (2018-09-28). "On the Reproducibility of Early-Stage Thermally Induced and Contact-Stir-Induced Protein Aggregation". The Journal of Physical Chemistry B. 122 (40): 9361–9372. doi:10.1021/acs.jpcb.8b07820. ISSN 1520-6106. PMID 30226382.
- ↑ "Comparing the Stability of Protein Formulations". www.labcompare.com. Retrieved 2018-10-04.
- ↑ Drenski, Michael F.; Mignard, Emmanuel; Alb, Alina M.; Reed, Wayne F. (October 2004). "Simultaneous in-situ monitoring of parallel polymerization reactions using light scattering; a new tool for high-throughput screening". Journal of Combinatorial Chemistry. 6 (5): 710–716. doi:10.1021/cc049909u. ISSN 1520-4766. PMID 15360205.
- ↑ "Pantex, Tulane scientists test plastic polymers | Pantex Plant". pantex.energy.gov. Retrieved 2018-11-07.
- ↑ Drenski, Michael F.; Brader, Mark L.; Alston, Roy W.; Reed, Wayne F. (2013-06-15). "Monitoring protein aggregation kinetics with simultaneous multiple sample light scattering". Analytical Biochemistry. 437 (2): 185–197. doi:10.1016/j.ab.2013.02.014. ISSN 1096-0309. PMID 23481914.
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