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Published on: July 26, 2016
A sampling system for flowing powders based on the theory of sampling
Barbara B Alvarado-Hernández1, Nobel O Sierra-Vega2, Pedro Martínez-Cartagena1
1Department of Chemistry, University of Puerto Rico at Mayaguez, Call Box 9000, Mayaguez 00680, Puerto Rico.
A new chute and stream sampler system accurately measures drug concentration in flowing pharmaceutical powders using near-infrared (NIR) spectroscopy. This innovative system ensures representative sampling, validated against UV-Vis methods with low prediction errors.
Area of Science:
- Pharmaceutical Engineering
- Analytical Chemistry
- Process Analytical Technology (PAT)
Background:
- Accurate monitoring of drug concentration in pharmaceutical powders is crucial for quality control.
- Traditional sampling methods can be time-consuming and may not be representative of the bulk material.
- The Theory of Sampling (TOS) provides a framework for developing effective sampling strategies.
Purpose of the Study:
- To develop and validate an innovative chute and stream sampler system for representative sampling of flowing powders.
- To integrate the sampling system with near-infrared (NIR) spectroscopy for real-time drug concentration determination.
- To assess the system's performance using pharmaceutical powder blends and compare it with a reference method.
Main Methods:
- Development of a three-part sampling system: chute, stream sampler, and sample collection port.
- Application of NIR spectroscopy at the chute and within the stream sampler to obtain spectral data.
- Analysis of collected samples using ultraviolet-visible (UV-Vis) spectroscopy as a reference method.
- Testing with eight pharmaceutical powder blends containing caffeine (10.5–19.5% w/w).
- Characterization of material flow properties to determine system throughput (30–35 kg/h).
- Variographic analysis to estimate analytical and sampling errors.
Main Results:
- Effective determination of drug concentration at both the chute and stream sampler locations.
- NIR calibration models demonstrated low root mean squared errors of prediction (0.65% w/w at chute, 0.51% w/w at stream sampler).
- Low bias values were observed for NIR models (-0.36% w/w at chute, 0.057% w/w at stream sampler).
- Significant agreement between NIR and UV-Vis methods, indicating high accuracy.
- Variographic analysis revealed low analytical errors (0.103% w/w² at chute, 0.181% w/w² at stream sampler) and a minimum practical error around 0.2% w/w².
Conclusions:
- The developed chute and stream sampler system, coupled with NIR spectroscopy, provides an effective and accurate method for monitoring drug concentration in flowing pharmaceutical powders.
- The system adheres to the principles of the Theory of Sampling (TOS), ensuring representative sampling.
- The validated method offers a reliable, non-destructive alternative to traditional destructive testing, enhancing process analytical technology (PAT) in pharmaceutical manufacturing.
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