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`Powder Technology
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`j o u r n a l h o m e p a g e : w w w . e l s e v i e r . c o m / l o c a t e / p o w t e c
`
`Macro- and micro-mixing of a cohesive pharmaceutical powder
`during scale up
`Weixian Shi a,⁎, Elizabeth Galella b, Omar Sprockel a
`a Drug Product Science and Technology, Bristol-Myers Squibb Company, 1 Squibb Drive, New Brunswick, NJ 08903, United States
`b Analytical & Bioanalytical Development, Bristol-Myers Squibb Company, 1 Squibb Drive, New Brunswick, NJ 08903, United States
`
`a r t i c l e
`
`i n f o
`
`a b s t r a c t
`
`Article history:
`Received 22 August 2014
`Received in revised form 15 December 2014
`Accepted 21 January 2015
`Available online 26 January 2015
`
`Keywords:
`Macro-mixing
`Micro-mixing
`Shear
`Cohesive
`
`Efficient powder mixing involves a macro and micro mixing mechanism, achieved by a combination of various
`types of mixers. Selection of the mixer is based on the understanding of the cohesiveness of the components in
`the mixture. In the current study, a cohesive active pharmaceutical ingredient (API), X, was used as the model
`compound to study the effectiveness of convective mixing in a bin blender and intensive shear mixing with a
`comil (conical mill). Convective mixing in the bin blender only delivered limited macro mixing for API X and
`the resulting blend was heterogeneous at both micro and macro scales. After blending in the bin blender, the
`comilling process added micro level mixing by introducing locally intensive mechanical shear. The resulting
`blend showed improved homogeneity at the micro scale, but was still heterogeneous at the macro scale. An
`additional mixing step in the bin blender after comilling was required to ensure the uniformity of the mixture
`at both micro and macro scales. The significance of the second convective mixing to micro mixing was
`underscored at commercial scale manufacture as compared to the development scale. Despite the scale
`dependency on the comilling step, the extensive shear exerted during the comilling step facilitated further
`micro mixing by the convective mixing in the second bin mixing step. The investigation demonstrates that a
`rational selection of mixing steps with various types of mixers is crucial to achieve both macro and micro mixing
`of cohesive materials from development to commercial scales.
`
`© 2015 Elsevier B.V. All rights reserved.
`
`1. Introduction
`
`Mixing of powders is a common yet important process that is used to
`achieve uniform mixtures in food, chemical, and pharmaceutical indus
`tries. It is especially critical in pharmaceuticals as accurate dosing is
`vital to efficacy and safety in patients. The criticality of homogeneity is
`evidenced by the strict requirements for dose uniformity from regulatory
`agencies around the world. As a result, mixing of pharmaceutical pow
`ders, typically cohesive by nature, is extensively studied in various
`types of mixing equipment to understand mixing mechanism via
`convection, diffusion or shearing [1 4]. While these studies have accu
`mulated mechanistic understanding of the particular types of mixing
`equipment, few investigations have studied the effect of combining
`different types of mixers to blend cohesive materials. Homogeneity of
`pharmaceutical powder normally requires multiple mixing mechanisms
`to be involved [5], which is difficult to achieve with one type of mixer.
`
`⁎ Corresponding author. Tel.: +1 732 227 6736; fax: +1 732 227 3818.
`E-mail addresses: weixian.shi@bms.com (W. Shi), elizabeth.galella@bms.com
`(E. Galella), omar.sprockel@bms.com (O. Sprockel).
`
`http://dx.doi.org/10.1016/j.powtec.2015.01.049
`0032-5910/© 2015 Elsevier B.V. All rights reserved.
`
`Our study demonstrates that the combination of different types of
`mixers is a practical and effective means to achieve uniform distribution
`of cohesive materials, such as APIs. The key to the uniform distribution is
`to enable both macro and micro mixing to reach uniformity at both
`scales. It is achieved by engaging different mixing mechanisms in the
`process, such as convective and shear mixing. Both convective and
`shear mixing can deliver macro and micro mixing depending on the
`cohesiveness of the material. Macro mixing occurs at the bulk level
`via dispersion, and is fast, while micro mixing occurs at the particle
`level via shearing or diffusion. Although convective mixing in a bin
`blender is an efficient way to achieve macro scale uniformity, our
`study suggests that macro scale uniformity in a bin blender is not
`achievable for API X without substantially engaging micro scale mixing
`via the intensive shear mechanism in a comil first. Although comilling is
`typically used as a size reduction method [6,7], we emphasized more on
`the shear mixing function of comilling in this study. Recent studies have
`shown that comilling is an effective way of distributing minor
`ingredients onto various pharmaceutical powders [8,9]. Only after the
`comilling step delivers some degree of micro uniformity can mixing in
`a bin blender further convey both micro and macro uniformity and
`result in uniform distribution of API X across the powder bed. Such
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`mechanism was only revealed at commercial scale manufacture but not
`apparently at the developmentscale.
`
`2. Material and methods
`
`A proprietary formulation containing Microcrystalline Cellulose,
`Lactose Anhydrous, Crospovidone,silicon dioxide, magnesium streareate
`and API X was used in the study.
`API X was micronized to less than 30 pm (100% byalight scattering
`method). The API has a true density of 1.3 g/ml and is needle like in
`shape. API X was loaded at concentrations for 1.25%, 2.5%, or 5% w/w.
`Thebatch size in the study ranged from 20 kg to 750kg. All materials
`wereloadedin a bin blender, mixed at 12 rpm for 108 revolutions
`(blend 1) and passed through a comil. The mixture passing through
`the comil (blend 2) was received in a second bin blenderand then fur
`ther mixed at 12 rpm for 120 revolutions (blend 3). Samples were taken
`at the top or bottom of the powderbed after each mixing step for the
`20 kg scale batches in a 68 L bin blender. The schematic process dia
`gram and sampling locations are shownin Fig. 1. Due to the large
`batch size, additional sample locations were added for a 300 kg batch
`in a 900 L bin blender and a 750 kg batch in a 2000 L bin blenderas
`showninFig. 2. Samples were tested for uniformity and concentration
`by High performance liquid chromatography (HPLC). While a Quadro®
`U10 comil witha milling chamber diameter of 127 mm was used for the
`20 kg batch, a Quadro® 1965S comil with a milling chamber diameter of
`305 mm was used for the 300 kg and 750 kg batches.
`wherenis the numberof potency measurements within a sample,Xj
`The following metrics were used to characterize the homogeneity of
`is an individual observation of potency at a specific location i. RSDs is
`the blends:
`an indicator of micro mixing behaviorat a specific location with a
`low RSDs suggesting a uniform distribution ofAPI X in thevicinity of
`that sampling location.
`3) The relative standard deviation for potency measurements from all
`samples within a particular mixing step, or RSD,,, which is shown in
`Eq.(4),
`
`1) The maximum difference (MD) in the average potency of API X
`among samples taken from multiple locations of the powder bed
`from the sameprocess step, which is shownin Eq.(1)
`
`(4)
`
`ka
`
`a)
`N-1
`
`RSD,
`
`Xm
`
`MD Max(X;)—Min(X;)
`
`(1)
`
`whereX; is the average potency ata specific location i. If samples are
`taken only from the top and bottom ofthe bin blender(68 L),
`
`MD |X;—X5|
`
`(2)
`
`where X; and X; stand for the average potency of the sample from
`the top and bottom ofthe bin blender, respectively. MD indicates
`the macro mixing behavior andis expected to be close to zero for
`effective macro mixing.
`
`where k is the numberof sampling locations, N is the total number of
`potency measurements acrossall samples from a particular mixing
`step (N =k«n),and X,, is the observed mean of all these individual
`measurements in the mixing step. RSD,,, represents the overall mixing
`behavior of a specific mixing step. A powder mixture thatis well
`mixed at the micro and macro scales yields a low RSD,, value while
`
`Top Sample
`
` 2" bin
`
` 2™4 bin
`
`Blend 2
`Blend 3
`
`
`Fig. 1. Mixing process and samplinglocations.
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`Fig. 2. Sampling locations in the 900-L or 2000-Lbin.
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`2) The relative standard deviation of potency measurements within a
`sample, or RSDs, as is shown in Eq. (3),
`
`RSDs st
`
`(3)
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`heterogeneity at either micro or macro scale results in a high RSDm
`value.
`
`3. Results and discussion
`
`Fig. 3 presents the MDs of three 20 kg batches in a 68 L bin blender at
`each step of mixing with 1.25%, 2.5% and 5% w/w of API X, respectively.
`The MD between the two samples after the first bin mixing step was
`substantial (24.3% 83.5%). However, it decreased dramatically after the
`comilling step (9.5% 17.1%) and was further narrowed after the second
`bin mixing step (3.2% 6.2%). Such drops in MDs clearly suggested that
`regardless of the target concentration of API X in the batch, macro mixing
`in the first bin mixing step was ineffective, and macro uniformity still
`relied on subsequent steps, i.e., comilling and the second bin mixing step.
`The drop in MD is accompanied with the improving micro uniformi
`ty through the mixing process that is evidenced by the declining RSDS as
`shown in Fig. 4. Blend 1 was heterogeneous at the micro scale with RSDS
`between 18.9% and 39.3% across the three batches, in line with the
`macro heterogeneity shown in MDs. In contrast, blends 2 and 3 were
`homogeneous at the micro scale (RSDS of b4.7%), regardless of sampling
`location and target concentration of API X. This suggests that uniformity
`at the micro scale was attained via the extensive local shear exerted
`during the comilling step. There was no improvement in micro scale
`homogeneity between blends 2 and 3, suggesting that maximum
`micro mixing was achieved at the comilling step and the second blend
`ing step did not extend micro mixing further.
`Therefore, regardless of the drug load, blend 1 is heterogeneous across
`the powder mixture, blend 2 is micro scale homogenous but macro scale
`heterogeneous, and blend 3 is homogenous across the powder mixture. In
`terms of function of the mixing steps, the first mixing step in the bin
`blender delivers coarse macro mixing only with no micro mixing, the
`comilling step delivers micro mixing with limited macro mixing, and
`the second mixing step in the bin blender is a macro mixing step.
`The increase in homogeneity at both macro and micro scales across
`the mixing steps also was evidenced by declining RSDm as illustrated in
`Fig. 5. The RSDm started at as high as 43.9% for blend 1 and ended at less
`than 3.5% for blend 3. The trend is similar across the three concentra
`tions in the study.
`Upon scale up at 300 kg or 750 kg, the mixing of the API X per
`formed differently from the 20 kg scale. Fig. 6 shows the maximum dif
`ference in potency across the mixing steps at 300 kg and 750 kg with
`the 5% w/w drug load and the 20 kg scale batch at 5% w/w is plotted
`in the same graph for comparison. Blend 1 had a smaller MD at
`commercial scales (b20%), suggesting improved yet still ineffective
`macro mixing upon scale up. This distinction between scales on blend
`1 indicates that macro mixing in the first blending step is more effective
`at larger scales due to increased shear provided upon scale up [10].
`
`Fig. 4. Within-sample uniformity of blend through the process (20 kg).
`
`The MD dropped slightly from blend 1 to blend 2 for both 300 and
`750 kg batches, unlike the larger decrease observed at the 20 kg
`batches. This distinction between scales suggests that comilling at the
`larger scale had much less impact on macro mixing due to more effec
`tive macro mixing that occurred in the preceding bin mixing step. On
`the other hand, MD for blend 3 dropped significantly to 1.8% (300 kg)
`and 1.4% (750 kg), similar to that from the 20 kg batches. This is an
`indicator that macro mixing in the second bin blender at the develop
`ment scale was as sufficient as that at the commercial scale.
`The RSDS of the 300 kg and 700 kg batches from each step of mixing
`are plotted in Figs. 7 and 8, respectively. Although there is a decrease in
`RSDS from blend 1 to blend 2 at each sampling location in the powder
`bed, the degree of micro scale mixing in the comilling step at large
`scales is not as effective as that observed at the 20 kg scale. This is
`demonstrated by the wide range of RSDs observed for blend 2 after
`comilling, i.e., 2.7% 10.5% for the 300 kg scale and 4.8% 15.1% for the
`750 kg scale. The corresponding range on the three 20 kg scale batches
`is much narrower, 0.8% 4.7%. The noticeable impact from scale up in
`micro scale mixing delivered by comilling is likely due to the change
`in the size of the comil causing a difference in the residence time and
`working volume of the powder in the chamber.
`Despite the less efficient micro scale mixing with the comil, the local
`shear exerted through comilling still disrupts the cohesive bonds
`between API X particles, facilitating the micro scale mixing in the
`second blender. RSDs of blend 3 for the 300 kg and 750 kg batches
`decrease to less than 1.9% and 1.7%, respectively, implying that sufficient
`micro scale uniformity was achieved. These values are similar to that of
`the 20 kg batches. As there was no discernable decrease in RSDs for the
`20 kg batches from blend 2 to blend 3, such decrease in RSDs upon scale
`up strongly indicates that the second mixing in the bin blender plays
`a crucial role in scale up, i.e., continuing the micro mixing that was
`initiated by the comilling step.
`
`Fig. 3. Decrease in maximum difference (MD) of mean potency throughout the process
`(20 kg).
`
`Fig. 5. Overall uniformity of blend through the process (20 kg).
`
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`
`
`
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`50
`
`40
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`ry
`
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`XN
`
`fal
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`
`Fig. 6. Decrease in maximum difference (MD) ofmean potency (5% API).
`
`It is clear that the second mixing step in the bin blender involves
`both micro scale mixing and macro scale mixing. The effect of this
`mixing step on micro scale mixing is not obviousat a smallerscale,
`because the preceding comilling stepis sufficient to achieve the required
`micro scale mixing for uniformity and, therefore, any further micro scale
`mixing is negligible. When the comilling step delivers insufficient micro
`mixing upon scale up, the micro mixing function ofthe second bin mixing
`step becomes apparent.
`The detailed mechanism of mixing uponscale upis not revealed
`through RSD,, as it lumps effect from both macro and micro scale
`mixing mechanismsin one index. The decrease in RSD,, could have
`twodrastically different starting points from blend 2, ie., blend 2 is
`not uniform atonescale butis uniform at the otherscale,or it is not uni
`form at either micro or macro scales, as suggested by RSD,. Neverthe
`less, RSDm is a direct indicator of the overall homogeneity as shown in
`Fig. 9. The slight difference between the two commercial scale batches
`is likely due to sampling, while more heterogeneity of blend 1 at the
`developmentscale reflects less effective shear mixing in the first blending
`step compared tothat at the commercial scale.
`Additionally, the effective macro and micro mixing achieved at the
`second mixing stepis likely associated with the coatingeffect at the par
`ticle level exerted from the proceeding coming step [8,9]. SEM images of
`pure API and blends, as shown in Fig. 10, demonstrate that the needle
`like API covers the surface of the excipients, allowing the excipients
`functioning as API carrier. Since the mixing of API coated excipients is
`driven by the excipients and is less dependent on the cohesiveness of
`API, the uniformity ofAPI in the second bin blending step is more readily
`achieved thanthatin the first bin blending step.
`
`50
`
`Sample location
`
`==-L1
`
`—™ 12
`
`=:
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`
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`0 Sa
`Blend 1
`Blend 2
`Blend 3
`
`-~
`
`Fig. 8. Within-sample uniformity ofblend through the process (750 kg).
`
`In summary, the second mixingstep in the bin blender introduces
`additional micro scale mixing beyond its macro mixing role due to
`the coating effect from the comilling step. This hidden role in micro
`scale mixing is crucial in the uniformity ofAPI X at commercial scales.
`Fig. 11 summarizes the mixing mechanismsinvolved in the mixing
`process for API X.
`
`4. Conclusion
`
`The current investigation revealed that the mechanism of mixing
`cohesive materials in a bin blender changes with bin size. With smaller
`bins, convective mixing occurs only at the macro scale. Commercial
`scale bins introduce a componentof micro scale mixing due to the
`increased shear provided by the higher drop heights.
`Although the effectiveness ofmicro scale mixing in a comil depends
`on the equipmentand batch size, a subsequent convective mixing in a
`bin blender removes such dependency bycontinuing the micro mixing
`concurrently with macro mixing. Thesefindings indicate that a
`combination of micro and macro scale mixing mechanismis re
`quired for homogeneous mixing of cohesive materials.
`
`Acknowledgement
`
`The authors would like to acknowledge the following BMScolleagues,
`Deniz Erdemir who provided SEM images of pure API and Lynn
`DiMemmowhoprovided SEM imagesofthe blend. The authors
`also want to acknowledge the reviewer whoprovided profound
`insight into the mechanism discussed in the current work.
`
`
`
`
`
`RSD,,.(%)
`
`
`
`Blend 1
`
`Blend 2
`
`Fig. 7. Within-sample uniformity ofblend through the process (300 kg).
`
`Fig. 9. Overall uniformity ofblend through the process (5% API).
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`Fig. 10. Coating of excipients by API. Top figures: needlelike pure API; Bottom figures: blend 2 showing coating ofexcipient by needlelike API.
`
`Macro Mixing
`
`Macro and
`
`micro Mixing Effectiveness of mixing is low at
`
`macrolevel but high at micro level
`dependent on batch size. Coating
`of APIis the result of micro mixing.
`
`Effectivenessofmixing is high at
`
`macro and micro levels.
`
`Reduction in RSDs and RSD», Further reduction in RSDs,
`but not necessarily MD
`RSD, and MD
`
`Fig. 11. Schematic mixing mechanism ofAPI X.
`
`[7]
`
`[8]
`
`19]
`
`f10)
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`Effectiveness of mixing is low
`at micro and macro level
`
`|
`
`Large MD, RSDs, RSD,
`
`References
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`f]
`
`[2]
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`33
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`[4]
`[5]
`
`(6]
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