FIVE QUESTIONS FOR ANY NUMBER
How to Read the Numbers
Microplastic numbers for the same thing can differ a thousandfold or a millionfold, often for good reasons. This guide gives five questions to ask of any figure, on this site or in the news, and shows how the home counters and indicators should be read.
A liter of bottled water held about 325 plastic particles in a 2018 survey and about 240,000 in a 2024 study1,2. That is roughly 740 times more (our calculation), and both numbers can be right, although the 2024 count is disputed (see below). The teams looked for different sizes with different instruments in different bottles.
A microplastic number makes sense only once you know what was counted, how small the method could see, and whether anyone measured anything. Five questions sort that out in under a minute.
One bottle, two answers
Mason and colleagues tested 259 bottles from 11 brands bought in 9 countries, staining particles with Nile Red down to 6.5 µm1. They averaged 10.4 particles per liter above 100 µm and about 315 more between 6.5 and 100 µm. The stain also lights up some non-plastic material, and particles under 100 µm were not confirmed by infrared, so small counts may run high (level C)1.
Qian and colleagues used stimulated Raman scattering microscopy on 3 brands, looking for 7 polymers down to about 100 nm2. They reported about 240,000 particles per liter, roughly 90% of them nanoplastics. It is a method demonstration, not a market survey.
The count is disputed (level D). In a published letter, Materić notes that ultrapure Milli-Q water run through the whole procedure held about as much plastic as the bottled water, and that the clean filters used as blanks miss contamination from handling3. The authors reply that the Milli-Q water was itself contaminated, with a different polymer profile, and that their filter blanks, exposed to the same lab air, controlled the remaining sources4.
Bottled water: reported particles per liter and the smallest size each count includes
Data table
| label | value | unit | lower_limit | source |
|---|---|---|---|---|
| Mason et al. 2018, particles above 100 µm (Nile Red) | 10.4 | particles/L | 100 µm | S-074 |
| Mason et al. 2018, all particles from 6.5 µm (Nile Red) | 325 | particles/L | 6.5 µm | S-074 |
| Qian et al. 2024, all particles from about 100 nm (SRS microscopy; count disputed) | 240000 | particles/L | ≈100 nm | S-033 |
Five questions to ask any number
- What size range? A count with a lower limit of 100 µm and one with 100 nm are different quantities. If the size range is missing, the number cannot be compared.
- Count or mass? Particles per liter and micrograms per liter answer different questions and cannot be converted without assumptions.
- Measured or estimated? A measurement comes from analyzing a sample. An estimate comes from a model, often built on a handful of measurements.
- Where, when, how many samples? Three brands are not "bottled water"; one cruise is not "the ocean"5.
- Compared with what? "240,000 particles" sounds large until you ask what earlier methods could see and what dose matters for health.
Reporting guidelines ask authors to state exactly these things: size limits, blanks, recovery and sample numbers6.
Labs still disagree. In a 2019 exercise, 12 experienced laboratories analyzed identical bottles of spiked seawater, and even with best practice they undercounted particles smaller than 1 mm by about 20%7. In 2026, laboratories in seven countries using the same polymer standards and protocols still differed substantially in polymer identification and recovery8. Method choice alone can move a number (level B).
Count versus mass
Mass grows with the cube of diameter. One spherical particle 1 mm across has the same mass as 10¹² (a trillion) spheres of 100 nm made of the same plastic (our calculation). For polystyrene, that one sphere weighs about 0.55 mg (our calculation, density 1.05 g/cm³). A sample of nanoplastics can have enormous counts and almost no mass.
The two metrics can even rank sources in opposite order. A 2026 study of airborne microplastics from 5 to 100 µm estimated that land emits about 23 times more particles than the ocean (our calculation from its totals). Yet the ocean emits more mass, about 4,000 against 500 metric tons a year (model estimates, level C)9. The site keeps counts and masses apart.
Same mass, different count: one 1 mm sphere versus 100 nm spheres
Data table
| label | value | unit | mass_mg |
|---|---|---|---|
| one sphere, diameter 1 mm | 1 | particle | 0.55 |
| spheres, diameter 100 nm, same total mass | 1000000000000 | particles | 0.55 |
Size cutoffs decide the count
Kooi and Koelmans proposed treating particle size as a power-law distribution, so counts can be rescaled between size ranges11,10. A 2021 analysis imaged more than 60,000 particles by infrared, down to 11 or 20 µm. Median slopes for particle length ran from 2.2 in marine surface water to 3.1 in organisms (level C)12.
With those slopes, lowering a cutoff tenfold would raise the count about 16 to 126 times (our calculation, valid when the largest particles are far above the cutoff). When a new study reports "far more particles than before", first check whether its cutoff moved.
Whether the power law continues below the measured range is not established for environmental samples (level E). In the 2021 data the smallest particles already fell below the fitted line. The authors cite a power law down to 0.1 µm only from a laboratory fragmentation test12. Search scope: that dataset and a web search on 3 November 2026 for field size distributions below 1 µm.
Estimates, scenarios and measurements
Headline numbers are often estimates, and estimates can be badly off. Evangelou and colleagues ran an atmospheric model with three published emission inventories against 2,782 measurements from 76 studies. The simulations overestimated measured median concentrations and deposition by two to four orders of magnitude, mainly because emissions had been overestimated (level C)9.
Extrapolations from one expedition carry similar caveats. Ten Hietbrink and colleagues measured nanoplastics of three polymers (PET, polystyrene, PVC) along one North Atlantic transect. They estimated about 27 million metric tons (27 Mt) in the mixed layer of the temperate to subtropical North Atlantic (estimate, level C)5. That is three polymers in one layer of one basin, not all ocean plastic.
Estimate
The home counters are estimates, not measurements. Each counter multiplies a named study value, chosen in settings, by the time elapsed since you opened the page. Σ adds the air and water flows only. With the defaults, 99.7% of it is the OECD estimate of plastic of all sizes entering the ocean, mostly large debris13, so Σ is neither a micro- or nanoplastic total nor global production. Soil has no counter: we found no sourced global estimate. Human intake is shown separately, by mass. Model v7 has run on the home page since 4 November 2026; every input and the revision are documented on Flows & Model14.
Percentages: method results and global shares
A percentage only means something with its denominator. "At least 99.97% of particles 0.3 µm across" is the U.S. Department of Energy definition of a HEPA filter, as summarized by the EPA15. It is a theoretical rating at the hardest size to catch, not a field measurement (level P).
Two figures circulate for sand filtration of nanoplastics. In a pilot rapid sand filter with aged sand in Zurich, 99.5% of model nanoplastics about 200 nm across stayed in the first 0.9 m over nine hours (measured, level C)16,17. The "more than 3 log", or about 99.9%, comes from a computer model of a full-scale treatment train, dominated by its slow sand step (modeled, level C)17. Neither says how much plastic has left the planet's air or water.
The home page shows two editorial indicators, not measured shares. "0 / 4" counts the reviewed domains (air, water, soil, human body) that meet the four conditions for a proven complete solution on Solutions by System. None did in the review checked on 3 November 2026 (level P)18.
The "≈0%" symbol on the v6 home cards had no numerator, denominator or size range. It stood for a status in words, "no proven removal at scale", and since 4 November 2026 the cards show those words instead. A local 99.5% and that status do not contradict each other, and neither says that prevention or local treatment fails.
Ranges and orders of magnitude
A range is the answer, not a weakness. Jambeck and colleagues estimated that 4.8 to 12.7 Mt of plastic waste of all sizes entered the ocean from land in 2010 (estimate, level C)19. The top is about 2.6 times the bottom (our calculation). Quote both ends, never the midpoint alone.
An order of magnitude is a factor of ten: "two orders" is a hundredfold, "six orders" a millionfold. On a log axis each equal step is ten times the last, so this site uses log scales when studies are far apart.
Worked example: the credit card a week
In June 2019 a WWF report prepared by Dalberg, based on a study WWF commissioned from the University of Newcastle, said people may ingest about 5 g of plastic a week20. That is the weight of a credit card. The peer-reviewed version, Senathirajah and colleagues, gives 0.1 to 5 g per week by ingestion, for particles up to 1 mm, as a global average21. The headline kept only the top of the range.
Mohamed Nor and colleagues modeled a different scope: intake from eight food types plus inhaled air, for particles from 1 to 5,000 µm. Their adult median is about 583 ng per day, or about 4.1 µg per week (level C)22. Five grams is about 1.2 million times more (our calculation). The ratio compares two outputs with different scopes; it is not an uncertainty range.
Why so far apart? Senathirajah and colleagues converted counts into mass with averaged particle masses; Pletz argued that this inflates the mass by several orders of magnitude23. Cox and colleagues, often cited alongside, counted particles only: 74,000 to 113,000 a year for Americans including inhalation, after a 2020 correction, with no mass estimate24,25.
Run the five questions. Size range: different. Count or mass: counts converted to mass. Measured or estimated: both estimated. Samples: a few food types. Compared with what: a credit card, an arbitrary unit. The 5 g figure is disputed (level D); 4.1 µg is one model's median (level C). The site shows both with their scopes.
Mass equivalent of one week's modeled intake for adults (mg), log scale, with reference objects shown apart
Data table
| label | value | unit | kind | source |
|---|---|---|---|---|
| Mohamed Nor et al. 2021: median adult intake, eight food types plus inhaled air, 1–5,000 µm | 0.0041 | mg/week | model median | S-103 |
| Senathirajah et al. 2021: low end of range, ingestion, particles up to 1 mm | 100 | mg/week | low end of a disputed published range | S-104 |
| Senathirajah et al. 2021: high end of range, ingestion, particles up to 1 mm | 5000 | mg/week | high end of a disputed published range | S-104 |
| Reference object, not an intake: one 1 mm polystyrene sphere | 0.55 | mg | reference mass (our calculation) | site-derived |
| Reference object, not an intake: one credit card, as used in the 2019 headline | 5000 | mg | reference mass | S-105 |
≈740×
bottled water counts, 2024 versus 2018 study (our calculation)
240,000 particles/L from ≈100 nm (3 brands, SRS) vs 325 particles/L from 6.5 µm (11 brands, Nile Red); not a change over time2
our arithmetic; the 2018 input is a single study (level C); the 2024 count is disputed over its blanks (level D, S-294, S-295); also uses S-074
PProvenance≈1,200,000×
credit-card intake estimate versus a model median (our calculation)
5 g/week (top of 0.1–5 g, ingestion, up to 1 mm) vs 4.1 µg/week (adult median, food plus air, 1–5,000 µm)21
our arithmetic on two published outputs with different scopes; the 5 g estimate is disputed (level D, S-272); median from S-103
PProvenance≈23×
more airborne particles from land than ocean, yet less mass
model estimate scaled to 2,782 measurements, particles 5–100 µm, 2026; 6.1 × 10¹⁷ vs 2.6 × 10¹⁶ particles/yr9
count and mass rank the sources in opposite order (0.0005 vs 0.004 Tg/yr)
CLimitedIs the 240,000 particles per liter figure true for all bottled water?
No. It comes from 3 brands, 7 target polymers and a detection floor of about 100 nm; it shows what a sensitive method can see, not what a typical bottle holds. The count itself is disputed: a published letter argues the procedural blank held as much plastic as the samples (3), and the authors reply that this blank water was itself contaminated (4) (level D,2).
Is the credit-card-a-week figure right?
Why don't you convert particle counts to grams?
Conversion needs size, shape and density for every particle. The credit-card dispute turns on exactly this step (level D,23).
Are the home counters live measurements?
No. Each is a named study value multiplied by elapsed time, an estimate; Σ adds air and water only, and the default water value covers plastic of all sizes. Flows & Model documents every input (level P,14).
Using this on tomorrow's headline
Ask the five questions of any new number. If size range, metric or method is missing, treat it as unreadable rather than wrong. For how instruments set size limits, see How We Measure It. For what the grades mean, see Evidence Levels. For the counter inputs, see Flows & Model; for the home indicators, Planet Overview; for intake and tissue figures, Human Body.
Sources
- Mason SA, Welch VG, Neratko J (2018). Synthetic Polymer Contamination in Bottled Water. Frontiers in Chemistry. doi:10.3389/fchem.2018.00407 journal article open access
- Qian N, Gao X, Lang X, Deng H, Bratu TM, Chen Q et al. (2024). Rapid single-particle chemical imaging of nanoplastics by SRS microscopy. Proceedings of the National Academy of Sciences. doi:10.1073/pnas.2300582121 journal article
- Materić D (2024). Nanoplastics measurements must have appropriate blanks. Proceedings of the National Academy of Sciences 121(48). doi:10.1073/pnas.2411099121 journal article open access
- Qian N, Stapleton P, Yan B, Min W (2024). Reply to Materić: Appropriate blanks should avoid major contamination sources in the lab. Proceedings of the National Academy of Sciences 121(48). doi:10.1073/pnas.2415874121 journal article open access
- ten Hietbrink S, Materić D, Holzinger R, Groeskamp S, Niemann H (2025). Nanoplastic concentrations across the North Atlantic. Nature. doi:10.1038/s41586-025-09218-1 journal article
- Cowger W, Booth AM, Hamilton BM, Thaysen C, Primpke S, Munno K et al. (2020). Reporting Guidelines to Increase the Reproducibility and Comparability of Research on Microplastics. Applied Spectroscopy. doi:10.1177/0003702820930292 journal article open access
- Isobe A, Buenaventura NT, Chastain S, Chavanich S, Cózar A, DeLorenzo M et al. (2019). An interlaboratory comparison exercise for the determination of microplastics in standard sample bottles. Marine Pollution Bulletin. doi:10.1016/j.marpolbul.2019.07.033 journal article
- Graf M, Chadwick D, Sun Y, Ding F, Ren S, et al. (2026). Instrument-dependent variability affects both microplastic polymer identification and quantification: an inter-laboratory comparison using polymer standards. Scientific Reports 16:34427. doi:10.1038/s41598-026-64477-w journal article open access
- Evangelou I, Bucci S, Stohl A (2026). Atmospheric microplastic emissions from land and ocean. Nature. doi:10.1038/s41586-025-09998-6 journal article
- Koelmans AA, Redondo-Hasselerharm PE, Nor NHM, de Ruijter VN, Mintenig SM, Kooi M (2022). Risk assessment of microplastic particles. Nature Reviews Materials. doi:10.1038/s41578-021-00411-y review
- Kooi M, Koelmans AA (2019). Simplifying Microplastic via Continuous Probability Distributions for Size, Shape, and Density. Environmental Science & Technology Letters. doi:10.1021/acs.estlett.9b00379 journal article
- Kooi M, Primpke S, Mintenig SM, Lorenz C, Gerdts G, Koelmans AA (2021). Characterizing the multidimensionality of microplastics across environmental compartments. Water Research 202:117429. doi:10.1016/j.watres.2021.117429 journal article open access
- OECD (2022). Global Plastics Outlook: Economic Drivers, Environmental Impacts and Policy Options. OECD Publishing. doi:10.1787/de747aef-en report open access
- Nanoplastics planetary observatory (2026). Home counter model of the Nanoplastics planetary observatory: v6 script (NP object) and v7 specification (counter-model.json). Nanoplastics planetary observatory (site methodology record). Download from this site site record open access
- US Environmental Protection Agency (2026). What is a HEPA filter?. US EPA. www.epa.gov/indoor-air-quality-iaq/what-hepa-filter web open access
- Pulido-Reyes G, Bianco C, Magherini L, Sethi R, von Gunten U, Kaegi R et al. (2023). Rückhalt von Nanoplastik-Partikeln bei der Wasseraufbereitung. Aqua & Gas (SVGW/VSA), issue 7/8, published online 6 July 2023. www.aquaetgas.ch/wasser/trinkwasser/20230707_ag7_8-r%C3%BCckhalt-von-nanoplastik-partikeln-bei-der-wasseraufbereitung/ journal article open access
- Pulido-Reyes G, Magherini L, Bianco C, Sethi R, von Gunten U, Kaegi R et al. (2022). Nanoplastics removal during drinking water treatment: Laboratory- and pilot-scale experiments and modeling. Journal of Hazardous Materials. doi:10.1016/j.jhazmat.2022.129011 journal article
- Nanoplastics planetary observatory (2026). Editorial decisions record and complete-solution criterion of the Nanoplastics planetary observatory. Nanoplastics planetary observatory (site editorial record). Methods record on this site site record open access
- Jambeck JR, Geyer R, Wilcox C, Siegler TR, Perryman M, Andrady A et al. (2015). Plastic waste inputs from land into the ocean. Science. doi:10.1126/science.1260352 journal article
- Dalberg Advisors, de Wit W, Bigaud N, WWF (2019). No Plastic in Nature: Assessing Plastic Ingestion from Nature to People. WWF International / University of Newcastle (Australia). www.newcastle.edu.au/news/2019/06/plastic-ingestion-by-people-could-be-equating-to-a-credit-card-a-week press open access
- Senathirajah K, Attwood S, Bhagwat G, Carbery M, Wilson S, Palanisami T (2021). Estimation of the mass of microplastics ingested – A pivotal first step towards human health risk assessment. Journal of Hazardous Materials. doi:10.1016/j.jhazmat.2020.124004 journal article
- Mohamed Nor NH, Kooi M, Diepens NJ, Koelmans AA (2021). Lifetime Accumulation of Microplastic in Children and Adults. Environmental Science & Technology. doi:10.1021/acs.est.0c07384 journal article
- Pletz M (2022). Ingested microplastics: Do humans eat one credit card per week?. Journal of Hazardous Materials Letters 3:100071. doi:10.1016/j.hazl.2022.100071 journal article open access
- Cox KD, Covernton GA, Davies HL, Dower JF, Juanes F, Dudas SE (2019). Human Consumption of Microplastics. Environmental Science & Technology. doi:10.1021/acs.est.9b01517 journal article
- Cox KD, Covernton GA, Davies HL, Dower JF, Juanes F, Dudas SE (2020). Correction to Human Consumption of Microplastics. Environmental Science & Technology. doi:10.1021/acs.est.0c04032 journal article
Evidence levels and provenance
- AConsensus
- Multiple independent studies or a systematic review plus a statement by a scientific body.
- BWell supportedUsed on this page
- Several independent studies with concordant findings.
- CLimitedUsed on this page
- Few studies, narrow conditions, or methodological caveats.
- DDisputedUsed on this page
- Conflicting results; both sides are shown.
- EUnknownUsed on this page
- No reliable evidence found; the search scope is stated.
- PProvenanceUsed on this page
- Provenance: checked against the primary record. A separate category, not an evidence grade: used for bibliographic facts, legal texts, official metadata, definitions quoted from a standard, the site's own arithmetic and statements about the site's process.
Editorial categories of this site. A–E grade scientific findings, per claim, with a one-line rationale; D and E are not lower rungs of the A–C scale. P is not a grade: it marks facts checked against their primary record.