Particle Size Distribution D10 D50 D90 Explained

Particle size distribution (PSD) describes how particle diameters are distributed in a sample, where particle size is defined as the diameter of an equivalent sphere that exhibits the same physical behavior as the actual, irregular particle. PSD is commonly analyzed in bulk materials such as powders, granulates, and suspensions, and the determination of particle size is essential for quality control and process optimization. D10, D50, and D90 are volume-based percentiles commonly used to summarize the fine tail, central tendency, and coarse tail of a distribution. Reporting these three values together gives a quick, practical picture of distribution shape and spread.

Key considerations for readers

• Always state the measurement technique and sample preparation because different methods weigh particles differently and can produce different percentile values.
• Use D10, D50, D90 together and consider a spread metric (e.g., span) to quantify distribution width.
• Interpret percentiles in context: percentiles describe size distributions but not shape, composition, or surface chemistry.
• Obtaining a representative sample is critical for accurate particle size analysis, as improper sampling or sample preparation can alter the true size distribution and affect the reliability of results.

Comparison of common techniques

Technique	Size range	Strength	Limitation
Laser Diffraction (LD)	nm to mm	Fast; wide dynamic range; designed to meet international standard ISO 13320; infers particle size distribution based on the scattering angle of the laser beam	Assumes spherical equivalence; needs good dispersion; multiple scattering can affect accuracy in high-concentration samples
Dynamic Light Scattering (DLS)	nm to low µm	Industry standard for nanoparticle and protein characterization; measures hydrodynamic size; widely used in drug delivery and nanoparticle analysis; fast and non-invasive	Less reliable for polydisperse or high-concentration samples due to multiple scattering
Sieve Analysis	> tens of µm	Simple and robust for coarse fractions; uses test sieves and a sieve shaker; especially relevant for powders and bulk materials	Low resolution for fine particles; assumes particles pass through sieve apertures based on diameter
Dynamic Image Analysis (DIA)	0.8 µm to 135 mm	Analyzes bulk materials and powders; provides high-quality results by capturing hundreds of images per second; direct measurement of size and shape, suitable for large sample quantities	Requires representative sampling; may need calibration for non spherical particles
Image Analysis/Microscopy	nm to mm (optics dependent)	Direct size and shape info; can analyze non spherical particles and provide shape parameters	Requires representative sampling; time-consuming for large samples
Sedimentation Methods	submicron to tens of µm	Useful for dense or very fine particles; based on Stokes’ law; often used for the determination of grain size distribution in fine soils	Time consuming; matrix effects possible

(Technique strengths and limits synthesized from instrument guidance and technical summaries).

Practical examples across applications

• Pharmaceuticals: D50 often correlates with dissolution rate; D90 flags oversized particles that can affect content uniformity. Controlling particle size prevents separation in suspensions, emulsions, and creams, and consistent particle size is crucial for accurate dosage and drug absorption.
• Food powders: PSD influences texture, reconstitution, and stability; D10 can indicate fines that affect dustiness. In the food and beverage industry, optimizing particle size distribution is crucial for product stability, texture, and quality, especially in emulsions and milled products.
• Ceramics, coatings, and construction materials: Narrow distributions (small span) improve packing, flow, and optical consistency. Particle size distribution affects powder flow in additive manufacturing and tablet press manufacturing, and is important for maintaining consistency in coatings, ceramics, and construction materials.
• Environmental particulates: PSD helps characterize airborne or aquatic particulates for monitoring and modeling.

Interpreting an example

If a report shows D10 = 5 µm, D50 = 20 µm, D90 = 60 µm, then 10% of the sample volume is below 5 µm, 50% below 20 µm, and 90% below 60 µm. The wide D10–D90 gap indicates a broad distribution; actions might include milling, classification, or tighter process control depending on the goal. Production methods such as milling, crushing, crystallization, and spray drying, as well as raw material properties, concentration, and temperature, all influence particle size.

Risks, limitations, and best practice

• Method dependence: different instruments and weighting (number, area, volume) change reported percentiles—compare only like with like.
• Sampling and dispersion: poor sampling or incomplete deagglomeration produces misleading D-values.
• Complementary data: combine PSD percentiles with shape, surface area, or chemical analysis when composition or functionality matters.
• The selection of a method for particle size distribution analysis must consider the targeted size range, physicochemical properties, and practical constraints like processing speed and cost. Different scientific fields employ various technologies called Particle Size Analyzers based on size range and material properties. Controlling particle size distribution is critical in manufacturing processes as it can significantly influence product quality and process efficiency.

Conclusion

D10, D50, and D90 are concise, useful descriptors of PSD when accompanied by method details and sample preparation. Use them as part of a documented workflow and, where necessary, pair them with complementary analyses to fully characterize material behavior.

Introduction to Particle Size Distribution

When you’re working with materials in pharmaceuticals, food, or cosmetics, there’s one property that quietly shapes everything you do: particle size distribution, or PSD. Think of it as the blueprint that tells you how particles of different sizes are spread throughout your sample. This matters more than you might expect. The way these particles are distributed affects your product’s texture, how quickly it dissolves, and how stable it stays over time. Getting accurate particle size analysis isn’t just nice to have—it’s essential if you want consistent products, smooth processes, and compliance with those regulatory standards you can’t ignore. You’ve got some solid techniques at your disposal here. 

Dynamic image analysis and dynamic light scattering give you insights into both size and shape, which is incredibly useful. Then there’s laser diffraction—many people love this method because it’s fast and handles everything from tiny particles to larger ones without breaking a sweat. Here’s what makes this all worthwhile: when you truly understand and control PSD, you’re setting yourself up to improve product performance, cut down on waste, and get reliable results every single time. Whether you’re analyzing powders, suspensions, or emulsions, picking the right technique for your particle size distribution analysis is what separates good results from great ones.

Measurement Techniques

When you’re trying to figure out particle sizes, you’ve got several solid options that work well for different situations. Laser diffraction is probably your best bet for most cases – it’s fast, reliable, and handles a wide range of particle sizes by watching how light scatters when it hits your sample. If you need to know both size and shape (which can be pretty important), dynamic image analysis uses high-speed cameras to actually photograph individual particles as they move past. For really tiny particles, the submicron stuff that’s tricky to measure, dynamic light scattering works beautifully by tracking the way these particles jiggle around from Brownian motion and how that affects scattered light. 

The technique you choose really comes down to what you’re working with – the size range you’re targeting, whether your sample is wet or dry, and how precise you need to be. These particle size analyzers aren’t just fancy lab equipment; they’re your quality control lifeline, making sure your products hit those tight specifications every time. Pick the right method for your situation, and you’ll get results you can trust and repeat, which keeps your processes running smoothly.

Particle Size Analyzers

When you’re working with particles, getting accurate size measurements can make or break your project. Particle size analyzers are the tools that help you understand exactly what you’re dealing with. These instruments use different approaches to give you a clear picture of your particle populations, and each method brings something unique to the table. Take laser diffraction analyzers, for instance. They’re incredibly versatile and can handle everything from fine powders to coarse materials, which is why you’ll find them in so many labs. If you need to know about particle shape too, dynamic image analysis systems capture that visual data that can tell you so much about how your materials will behave. 

For those really tiny particles that are tough to measure, dynamic light scattering analyzers are your best bet—they excel with submicron particles and are perfect for nanoparticle work. Choosing the right analyzer comes down to understanding what you need: the size range you’re working with, how accurate your measurements need to be, and whether your sample material plays well with the instrument. These tools aren’t just nice to have—they’re essential for keeping your products consistent and meeting the standards your industry demands.

Light Scattering Principles

Light scattering sits at the core of how we measure particle sizes, and it’s actually pretty fascinating when you understand what’s happening. Picture this: when you shine a laser through a sample, every particle in there starts scattering that light in its own unique way, creating patterns that tell us exactly what we’re dealing with. Here’s the clever part – bigger particles tend to scatter light at smaller angles, while tiny ones send it flying off at wider angles. It’s like each particle size has its own signature. By reading these patterns, our instruments can pin down not just the size of particles, but how they’re distributed throughout the sample. Now, getting accurate results isn’t just about having good equipment. 

You need to pay attention to things like how concentrated your sample is, how well you’ve prepared it, and whether your instrument is properly calibrated. Think of sample preparation as setting the stage – you want your particles nicely dispersed and truly representative of what you’re actually measuring. And calibration? That’s your safety net against measurement errors creeping in. When you really grasp how light scattering works, you’re not just getting numbers from a machine – you’re understanding what those results actually mean and how to fine-tune your process for the most reliable measurements possible.

Particle Characterization

When you’re working with particles, understanding their characteristics becomes your roadmap to better materials. Think of particle characterization as getting to know your materials on a deeper level—you’re looking at size, shape, and how everything distributes throughout your sample. Size distribution analysis shows you the real story of what’s happening in your material, and that insight helps you predict how it’ll behave and perform when it matters most. Image analysis opens up a whole new world where you can measure things like aspect ratio, circularity, and convexity. 

These shape parameters aren’t just numbers—they tell you about particle morphology in ways that directly impact how your materials flow, pack together, and even react chemically. For those tiny submicron particles that can be tricky to pin down, nanoparticle tracking analysis gives you the precision you need to determine size and concentration accurately. This level of control makes all the difference when you’re working with fine materials. The real power comes when you bring particle size analysis together with other characterization techniques. That’s where manufacturers find their sweet spot—better understanding leads to improved quality, enhanced performance, and production processes that actually work more efficiently.