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Rajesh Davé, distinguished professor of chemical, biological and pharmaceutical engineering, and two of his former graduate students, Maxx Capece and Daniel To, received a Thomas Alva Edison Patent Award from the Research & Development Council of New Jersey for developing a manufacturing process that masks the bitter tastes of medications while delivering them effectively to their targets in the body. The team of chemical engineers was honored for their "enabling technology" at the organization's 37th Edison Patent Awards Ceremony on November 3. They were among 12 winners in 2016. Their patent, "Solventless Mixing Process for Coating Pharmaceutical Ingredients" (U.S. 9,107,851), is for a process that combines water insoluble and soluble polymers to form a highly structured particle coating layer - spread as a composite film in a single, high-intensity vibratory process - to mask the bitter taste of a drug while not impeding its delivery. The process allows them to coat fine particles less than the diameter of a human hair in width without using water, organic solvents or heat. "By using this coating technology, we are able to achieve four important goals: making medications more palatable to consumers, eliminating chemicals we don't want in the body, decreasing the environmental footprint of the manufacturing process and lowering its cost," notes Davé. The technology has been licensed by a global health care company that develops both drugs and their delivery systems. The coating in that instance is a fine layer of wax that will be used to mask bitter tastes. Capece is a senior scientist at Chicago-based AbbVie, Inc., a biopharmaceutical company, and To is a senior product development scientist at Colorcon, Inc., a global pharmaceutical product development company. Both worked with Davé at the New Jersey Center for Engineered Particulates while they were Ph.D. students at NJIT. The Council's awards this year went to innovative patent work spanning 11 categories, including agriculture, biotechnology, defense, drug delivery technology, enabling technology, energy, industrial process, industrial product, medical device, medical technology and telecommunications. In a statement earlier this fall, R&D Council President Anthony Cicatiello said that this year's winners showcased "the breadth and depth of STEM leadership and innovation" in New Jersey. "New Jersey is STEM strong," Cicatiello said. "Dating back to the beginning with Edison, then Bell Labs and our state's robust pharmaceutical industry, jumping to present day inventions and discoveries like those we are honoring in this year's Edison Awards class, New Jersey continues to be an innovation powerhouse." Among the other recipients are AdvanSix (Honeywell), ExxonMobil, Immunomedics, Lockheed Martin, Merck, NJIT, Nokia Bell Labs, Princeton Plasma Physics Laboratory, Rutgers University Siemens and TE Connectivity. "All of the inventions awarded last night were truly impressive - and so diverse," Davé said. "It is especially nice to have NJIT's contributions represented among them." One of the nation's leading public technological universities, New Jersey Institute of Technology (NJIT) is a top-tier research university that prepares students to become leaders in the technology-dependent economy of the 21st century. NJIT's multidisciplinary curriculum and computing-intensive approach to education provide technological proficiency, business acumen and leadership skills. With an enrollment of 11,400 graduate and undergraduate students, NJIT offers small-campus intimacy with the resources of a major public research university. NJIT is a global leader in such fields as solar research, nanotechnology, resilient design, tissue engineering, and cybersecurity, in addition to others. NJIT ranks 5th among U.S. polytechnic universities in research expenditures, topping $121 million, and is among the top 1 percent of public colleges and universities in return on educational investment, according to PayScale.com. NJIT has a $1.74 billion annual economic impact on the State of New Jersey.


Ghoroi C.,New Jersey Center for Engineered Particulates | Ghoroi C.,New Jersey Institute of Technology | Ghoroi C.,Indian Institute of Technology Gandhinagar | Gurumurthy L.,New Jersey Center for Engineered Particulates | And 7 more authors.
Powder Technology | Year: 2013

The present work is a comprehensive investigation of the flow, packing, and aeratibility behavior and discerning the rank order of several Active Pharmaceutical Ingredients (API), with or without surface modification, as well as excipients with different particle sizes and shapes. Surface modification of the API powders (various size grades of acetaminophen, ascorbic acid and ibuprofen) was conducted in a magnetically assisted impaction coater (MAIC), a well-established material sparing device. Powder characterization was done using various conventional and novel powder characterization techniques to measure properties such as, angle of repose, flow index, aerated, tapped and conditioned bulk densities, Housner ratio, Carr index, flow function coefficient (FFC), cohesivity and aeratibility. The comparative results show that surface modification improves flow, packing and aeratibility of powders with respect to corresponding as received powders, and in many cases, dry coated API powders exhibit properties as good as or better than similar sized excipients. The measured properties from different instruments were plotted through several illustrative phase maps with intent to develop a better visualization of the property improvements via dry coating. It was seen in the phase map of FFC vs. conditioned bulk density that it was easy to visualize a clear change in flow regimes after surface modification. For example, surface modified fine API powders show a shift from highly cohesive region (FFC < 2) to easy flow region (4 < FFC < 10) or free flow region (FFC > 10) along with an increase in conditioned bulk density (< 0.4. g/ml to > 0.5. g/ml). The use of the proposed phase map in developing manufacturing feasibility guidelines is also proposed. © 2012 Elsevier B.V.

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