Scale-Up Issues in Tablets MCQs With Answer

Scale-Up Issues in Tablets MCQs With Answer

This quiz collection is designed for M.Pharm students studying MIP 202T – Scale Up & Technology Transfer. It focuses on common challenges encountered when transferring tablet formulations from laboratory to pilot and commercial production. The questions emphasize critical quality attributes (CQAs), critical process parameters (CPPs), and scale-dependent phenomena such as granulation energy, flow, segregation, compression dwell time, tooling differences, and coating scale-up. Each item targets decision-making skills — choosing appropriate scale-up criteria, troubleshooting process failures, and applying PAT and QbD principles. Use these MCQs to deepen understanding of how formulation and process variables interact during scale-up and to prepare for practical scale-up tasks and examinations.

Q1. Which scale-up criterion is most appropriate to maintain similar granule properties when moving from a laboratory high-shear granulator to a production-scale granulator?

  • Maintain constant impeller tip speed
  • Maintain constant specific mechanical energy (SME) or power per unit mass
  • Maintain identical batch fill depth
  • Maintain the same impeller geometry only

Correct Answer: Maintain constant specific mechanical energy (SME) or power per unit mass

Q2. During scale-up of wet granulation, which change most often causes increased granule hardening and reduced dissolution at larger scale?

  • Lower binder concentration in spray solution
  • Higher specific drying temperature with reduced residence time
  • Increased granulation energy leading to denser granules
  • Reduced mill screen size during milling

Correct Answer: Increased granulation energy leading to denser granules

Q3. Which parameter is most critical to control when scaling up tablet compression speed from laboratory press to a high-speed rotary press to avoid tablet weight variation?

  • Tablet press color and exterior finish
  • Dwell time and feed frame filling dynamics
  • Room humidity only
  • Tablet embossing pattern

Correct Answer: Dwell time and feed frame filling dynamics

Q4. In scale-up of spray coating on tablets, which normalized parameter is commonly used to keep coating film quality similar between scales?

  • Spray rate per tablet regardless of tablet surface area
  • Spray solution flow per unit tablet bed surface area (e.g., g/min/m²)
  • Total spray gun nozzle diameter only
  • Number of spray guns independent of pan size

Correct Answer: Spray solution flow per unit tablet bed surface area (e.g., g/min/m²)

Q5. Which phenomenon during powder handling commonly worsens on scale-up and leads to content uniformity issues in low-dose tablets?

  • Improved compressibility of active
  • Electrostatic charging reducing segregation
  • Segregation due to differences in particle size and density
  • Reduced bulk density variability

Correct Answer: Segregation due to differences in particle size and density

Q6. For roller compaction scale-up, which characteristic of ribbons is most predictive of downstream tablet compression performance?

  • Ribbon color
  • Ribbon porosity and IPC (in-process control) density
  • Ambient noise during compaction
  • Operator hand pressure used in cleaning

Correct Answer: Ribbon porosity and IPC (in-process control) density

Q7. Which PAT tool is most useful for monitoring endpoint moisture during continuous or batch drying in scale-up to ensure similar granule LOD?

  • NIR (near-infrared) spectroscopy for real-time moisture measurement
  • X-ray diffraction to detect crystallinity only
  • UV-visible spectroscopy to detect binder concentration
  • Off-line HPLC for API assay only

Correct Answer: NIR (near-infrared) spectroscopy for real-time moisture measurement

Q8. When scaling up blending operations, which rule helps maintain similar mix uniformity between scales?

  • Keep the blender fill depth and blender speed such that mixing time and tip speed relationships are preserved (geometric similarity)
  • Always use the same blender brand
  • Mix for a fixed arbitrary time regardless of scale
  • Increase impeller diameter while keeping speed constant

Correct Answer: Keep the blender fill depth and blender speed such that mixing time and tip speed relationships are preserved (geometric similarity)

Q9. Which tablet defect is most directly associated with too-rapid decompression/dwell reduction on high-speed presses during scale-up?

  • Tablet discoloration
  • Lamination and capping due to insufficient time for bonding
  • Increased dissolution due to porosity
  • Improved tablet hardness

Correct Answer: Lamination and capping due to insufficient time for bonding

Q10. In scaling spray-drying from lab to production, which dimensionless concept or parameter is most relevant to preserve particle morphology?

  • Maintaining the same color of feed solution
  • Similar drying gas residence time and inlet/outlet temperature profiles (thermal history)
  • Using identical spray-dryer brand names
  • Equalizing batch numbering systems

Correct Answer: Similar drying gas residence time and inlet/outlet temperature profiles (thermal history)

Q11. Which factor is most important to adjust when scaling up milling (size reduction) after granulation to maintain target particle size distribution?

  • Mill feed rate and screen/mesh size, and mill energy (RPM or applied force)
  • Color of milling chamber
  • Time of day milling occurs
  • Operator’s clothing

Correct Answer: Mill feed rate and screen/mesh size, and mill energy (RPM or applied force)

Q12. During tablet press scale-up, sticking and picking on punches can increase. Which formulation or process change most directly reduces sticking?

  • Decreasing lubricant concentration
  • Incorporating or increasing an appropriate lubricant like magnesium stearate with optimized blending time
  • Removing glidant from formulation entirely
  • Polishing punches manually between every tablet

Correct Answer: Incorporating or increasing an appropriate lubricant like magnesium stearate with optimized blending time

Q13. Which Quality by Design (QbD) tool is best applied early in scale-up to identify high-risk process parameters requiring tight control?

  • Risk assessment such as Failure Mode and Effects Analysis (FMEA)
  • Random guessing
  • Only performing full production runs with no prior analysis
  • Rely solely on supplier assurances

Correct Answer: Risk assessment such as Failure Mode and Effects Analysis (FMEA)

Q14. What is the main rationale for using specific surface area or tablet surface area when scaling coating spray rates rather than absolute spray flow?

  • To ensure the same total solvent use across batches irrespective of tablet count
  • To maintain similar droplet-to-surface contact and drying per unit area, preserving film thickness and uniformity
  • To minimize the number of spray guns used
  • To control tablet color only

Correct Answer: To maintain similar droplet-to-surface contact and drying per unit area, preserving film thickness and uniformity

Q15. Which compression parameter is commonly increased to compensate for reduced dwell time at higher press speeds to maintain tablet tensile strength?

  • Increase in coating thickness
  • Increase in compaction force or precompression force within safe limits
  • Decrease in tablet weight
  • Switch to a different tablet color

Correct Answer: Increase in compaction force or precompression force within safe limits

Q16. When scaling up a formulation containing a moisture-sensitive API, which drying control strategy is most appropriate to protect API integrity while achieving consistent granule moisture?

  • Use higher inlet temperatures indiscriminately to speed processing
  • Optimize drying using a combination of reduced inlet temperature, increased drying time, and route to measure endpoint (e.g., NIR or LOD)
  • Do not dry the granules at all
  • Allow open-air drying under ambient uncontrolled conditions

Correct Answer: Optimize drying using a combination of reduced inlet temperature, increased drying time, and route to measure endpoint (e.g., NIR or LOD)

Q17. Which change during scale-up is most likely to worsen segregation of a free-flowing granule blend in a hopper?

  • Reducing transfer distance and using steeper chutes
  • Increasing vibration and long vertical drop during transfer
  • Using conical hoppers with mass-flow design
  • Reducing conveyor speed

Correct Answer: Increasing vibration and long vertical drop during transfer

Q18. For content uniformity in very low dose tablets, which manufacturing approach is generally most reliable when scaling up?

  • Direct compression using only coarse API particles
  • Use of a preblend and subsequent low-shear dilution steps or spray-coated API on excipient carriers to ensure uniform API distribution
  • Rely solely on manual spiking of API after compression
  • Eliminate mixing steps to avoid over-blending

Correct Answer: Use of a preblend and subsequent low-shear dilution steps or spray-coated API on excipient carriers to ensure uniform API distribution

Q19. What is a common cause of increased friability when scaling up tablet compression even though formulation is unchanged?

  • Excessive lubricant concentration only
  • Changes in compaction dwell time, compression force profile, or feed-frame fill consistency leading to suboptimal bonding
  • Switching operators
  • Using a different tablet imprint stamp

Correct Answer: Changes in compaction dwell time, compression force profile, or feed-frame fill consistency leading to suboptimal bonding

Q20. Which experimental strategy is most effective during scale-up to reliably predict commercial performance and allow identification of robust process ranges?

  • Performing a designed experiment (DoE) across key CPPs and CMAs at multiple scales combined with PAT monitoring
  • Running a single production batch and assuming reproducibility
  • Changing multiple variables at once without documentation
  • Relying exclusively on supplier literature for scale-up parameters

Correct Answer: Performing a designed experiment (DoE) across key CPPs and CMAs at multiple scales combined with PAT monitoring

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