# Microplastic Analysis Techniques: What Lab Data Really Means

> Understand which microplastic analysis techniques produce defensible data. The Wellness Quality Institute turns your lab results into verified claims.

**Published:** 2026-09-17 | **Updated:** 2026-10-31 | **Author:** mihir
**URL:** https://www.wellnessqualityinstitute.com/articles/microplastic-analysis-techniques
**Type:** post

**Categories:** Certification

![Microplastic Analysis Techniques: What Lab Data Really Means](https://wellnessquality.sites.aigrowthagent.co/wp-content/uploads/sites/93/2026/09/1789553920992-5df02b9160dd-1024x572.webp)

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## Content

*Written by: Scott Steveson, Specialist, Wellness Quality Institute | Last updated: October 19, 2026*

## Key Takeaways

- Microplastic analysis techniques produce either particle counts or polymer mass data, and these two outputs are not interchangeable.
- Every credible analysis follows four sequential stages: sampling, separation and pretreatment, characterization, and identification and quantification.
- The right method depends on both the matrix being tested and the objective, with spectroscopic methods suited for particle counts and thermal methods for polymer mass.
- Results are always bounded by detection floors, polymer panels, and blank controls, so a “no microplastics detected” result has clear limits.
- The Wellness Quality Institute provides independent third-party review of laboratory datasets to help companies make defensible, scope-locked claims.

[See how WQI reviews microplastic lab data for defensible claims](https://www.wellnessqualityinstitute.com/?utm_term=microplastic-analysis-techniques&utm_campaign=ai_growth_agent)

## The Four-Stage Microplastic Analysis Techniques Workflow

Every credible microplastic analysis follows four sequential stages, and skipping any stage weakens how you can interpret the result.

1. **Sampling.** A representative portion of the material being tested, such as water, soil, food, or biological tissue, is collected under documented chain-of-custody conditions. Chain of custody is a formal record of who handled the sample, when, and under what conditions. This record helps prevent contamination before analysis begins.
2. **Separation And Pretreatment.** The sample is processed to isolate candidate particles from the surrounding material. For water this typically means filtration. For soil or food it may involve density separation or chemical digestion to remove organic matter. Field and procedural blanks, which are samples carried through the entire process without the target material, are run in parallel to measure background contamination introduced by the process itself.
3. **Characterization.** Candidate particles are examined visually and dimensionally. Optical microscopy is the standard first step. Visual identification alone cannot confirm that a particle is plastic. It produces a count of suspected microplastics rather than confirmed ones.
4. **Identification And Quantification.** Spectroscopic or thermal methods chemically confirm polymer identity and generate the final result. That result is either a particle count by size fraction and polymer type or a polymer mass concentration. The detection floor, which is the smallest particle size or lowest concentration the instrument can reliably detect, and the polymer panel, which is the list of polymer types the method screens for, define the outer boundary of what the result can claim.

For a deeper look at what each method produces within this workflow, see [Microplastics Analysis Techniques: What Each Method Proves](https://www.wellnessqualityinstitute.com/articles/microplastics-analysis-techniques-comparison/?utm_term=microplastic-analysis-techniques&utm_campaign=ai_growth_agent).

## Matching The Method To The Matrix And The Objective

The workflow is fixed, but the method used in the final stage is not. The right method depends on what you are testing and what question you need to answer.

**Water** is the most straightforward material to test. For anyone asking how to test for microplastics in water, the answer depends on the water type. Drinking water and other low-suspended-solids waters are well served by vibrational spectroscopy, such as micro-FTIR or micro-Raman, applied after filtration to concentrate particles. [ISO 16094-2:2025](https://iso.org/standard/84460.html) covers exactly this scope and specifies microscopy coupled with vibrational spectroscopy for waters with suspended solids between 1 and 100 mg/L. The California State Water Board methods [SWB-MP1-rev1 (infrared) and SWB-MP2-rev1 (Raman)](https://www.wellnessqualityinstitute.com/articles/microplastics-testing-standards/?utm_term=microplastic-analysis-techniques&utm_campaign=ai_growth_agent) are validated for drinking water in the same way and serve as a credible technical reference for US companies nationally.

![Fragments of plastic suspended in blue water below the surface.](https://cdn.aigrowthmarketer.co/1784829388732-c6255482b477.webp)**Plastic doesn't disappear — it fragments. These secondary microplastics are the breakdown products of everyday objects, and independent research now detects them across the water supply. Detection, though, establishes presence, not absence.**

**Soil And Sediment** present a harder problem. Organic matter, mineral particles, and density variation all interfere with isolation and identification. Sieving and density separation precede spectroscopic confirmation. The [2026 MAPAN critical review of microplastic detection in soils](https://link.springer.com/10.1007/s12647-026-00943-0) found that variations in extraction procedures and recovery efficiencies, combined with limited reporting of detection limits, directly undermine result reliability and comparability across studies.

**Food And Biota** require validated digestion steps to remove biological tissue before particle isolation. A 2026 review published in Toxics identified airborne fibers, synthetic textiles, reagents, and analytical equipment as contamination sources that can cause overestimation of microplastics in food analysis. The same review [recommended QA/QC for every analytical batch, including procedural blanks, along with recovery experiments using representative polymer types, particle sizes, and shapes](https://mdpi.com/2305-6304/14/6/514).

**Objective Matters As Much As Matrix.** The objective determines the output type, and the output type determines the method. If the goal is to count particles by size and polymer type, which is the output needed for regulatory reporting under the California framework, spectroscopic methods such as micro-FTIR and micro-Raman are appropriate. If the goal is to quantify total polymer mass, useful for some research and industrial applications, thermal methods such as Pyrolysis–GC–MS (Py-GC-MS) are used instead. These two output types cannot be compared directly. A particle count from a spectroscopic method and a polymer mass figure from a thermal method describe different things about the same sample, and treating them as equivalent is a methodological error.

## Technique Comparison: What Each Method Produces And Where It Fails

The four-stage workflow ends with identification and quantification, and that final stage is where method choice matters most. The techniques below are the ones most commonly used in commercial laboratories, each with a distinct output and a distinct blind spot.

**Optical Microscopy** produces a count of candidate particles by size, shape, color, and morphology. Its principal limitation is that it cannot chemically identify polymers. Visual identification alone produces false positives, because organic fibers, mineral particles, and cellulose are routinely misidentified as microplastics. The [2025 Springer soil-methods review](https://link.springer.com/chapter/10.1007/978-981-95-2740-3_3) found that microscopic identification alone is insufficient for definitive microplastic identification and has produced false positives where organic fibers were frequently misidentified as microplastics. Optical microscopy is a screening step and not a standalone identification method.

![Colorful plastic fragments in water inside a laboratory petri dish.](https://cdn.aigrowthmarketer.co/1784829410323-fb401fc7b1e4.webp)**Microplastics are particles smaller than five millimeters. Current methods can count and identify them at the upper end of that range, but reliable measurement falls away as particles get smaller — a limit that shapes every honest claim.**

**Micro-FTIR (Fourier-Transform Infrared Spectroscopy)** produces particle counts with chemically confirmed polymer identity. It is diffraction-limited, which means it cannot reliably resolve particles much below roughly 10–20 µm. The [2026 MAPAN review](https://link.springer.com/10.1007/s12647-026-00943-0) documents detection limits of approximately 20–50 µm for micro-FTIR. Its principal limitation is that it cannot see the smallest microplastic fraction or anything in the nanoplastic range.

**Micro-Raman Spectroscopy** also produces particle counts with polymer identity. It reaches smaller particles, approximately 1 µm according to the [2026 MAPAN review](https://link.springer.com/10.1007/s12647-026-00943-0), because its shorter excitation wavelength is not subject to the same diffraction limit as infrared. For the FTIR vs Raman for microplastics question, Raman’s smaller detection floor is its key advantage. Its principal limitation is vulnerability to fluorescence from pigments and residual organic matter, which can mask or distort spectral signals. The [Protei microplastics guide](https://protei.org/how-microplastics-are-collected-and-counted) notes that Raman spectroscopy is vulnerable to fluorescence from pigments and leftover organic matter, which is why a blank matrix matters as much for spectra as for counts.

**Py-GC-MS (Pyrolysis Gas Chromatography–Mass Spectrometry)** produces polymer mass data by thermally decomposing the sample and analyzing the breakdown products. It provides no particle count, no size information, and no morphology data. The [2026 Open Respiratory Archives editorial](https://pmc.ncbi.nlm.nih.gov/articles/PMC13199669) states that Py-GC-MS inherently loses information on particles, including size, shape, and color. It is also difficult to implement in complex matrices because of significant matrix-dependent interferences. Polymer mass data from Py-GC-MS cannot be reliably converted into particle number or size distribution without strong assumptions.

**SEM-EDS (Scanning Electron Microscopy With Energy-Dispersive X-Ray Spectroscopy)** produces high-resolution surface imaging and elemental composition data. It is useful for characterizing particle morphology and detecting inorganic additives. It does not identify organic polymer types directly and is not a primary method for routine microplastic quantification.

**Nile Red Staining** uses a fluorescent dye that binds to hydrophobic surfaces, allowing candidate plastic particles to be visualized under fluorescence microscopy. It is faster and cheaper than spectroscopic methods, but it is not polymer-specific. The [2025 Springer soil-methods review](https://link.springer.com/chapter/10.1007/978-981-95-2740-3_3) found that Nile red staining is not exclusive to microplastics. Natural materials such as wood, wool, chitin, and natural fibers are also stained, which leads to significant misidentification rates of 20–70% for smaller microplastics under 100 µm. Nile red is a screening tool only, and any positive result requires spectroscopic confirmation.

A key principle across all spectroscopic methods is that counted particles, or an approved statistically valid subsample, must be chemically confirmed. Counts must be reported by size fraction rather than as a single aggregate figure, and blank data must be reported alongside sample data. Those reporting requirements only make sense once you understand the two numbers that bound every result: the detection floor and the blank correction.

[Microplastics Analysis Techniques: What Each Method Proves](https://www.wellnessqualityinstitute.com/articles/microplastics-analysis-techniques-comparison/?utm_term=microplastic-analysis-techniques&utm_campaign=ai_growth_agent) covers the technical detail of each method in full.

[See how independent review turns lab data into a defensible claim](https://www.wellnessqualityinstitute.com/?utm_term=microplastic-analysis-techniques&utm_campaign=ai_growth_agent)

## Detection Floors, Blanks, And Quality Control: The Real Line Between Usable And Unusable Data

A detection floor is the smallest particle size or lowest concentration that an instrument can reliably detect under defined conditions. A reporting limit sits above that floor and is the threshold above which a result is considered quantifiable rather than merely detectable. The gap between the two is where ambiguity lives, and both numbers define the outer boundary of what a non-detect result actually means.

Blank correction is the process of subtracting background contamination, meaning particles introduced by the sampling equipment, laboratory environment, reagents, or analyst, from the sample count. Without it, reported particle counts may reflect the laboratory as much as the sample. A [2026 systematic review in Archives of Toxicology](https://link.springer.com/article/10.1007/s00204-026-04392-1) covering 36 studies of micro- and nanoplastics in human biological materials found that contamination is ubiquitous and difficult to attribute unequivocally, which makes quality assurance and quality control especially important.

The stakes of inadequate blank control appear clearly in a live example from the peer-reviewed literature. A [2024 PNAS study by Qian et al. (Columbia University)](https://www.pnas.org/doi/10.1073/pnas.2300582121) reported approximately 240,000 plastic particles per liter of bottled water, with roughly 90% classified as nanoplastics. That striking and widely cited figure must be read alongside a [subsequent PNAS commentary](https://www.pnas.org/doi/10.1073/pnas.2411099121) finding that the study’s procedural blanks appeared contaminated and its quality control was inadequate. The critique turns on blank controls, the same contamination controls that any defensible microplastic dataset must include. The Qian et al. figure illustrates why method review matters as much as the result itself.

A result without stated reporting limits and blank data is not a usable measurement. As the [Protei microplastics guide](https://protei.org/how-microplastics-are-collected-and-counted) states, a count without a size threshold and blank correction is not a measurement. For a full treatment of what detection floors mean for interpreting laboratory results, see [Microplastics Detection Floors: What Lab Results Really Mean](https://www.wellnessqualityinstitute.com/articles/detection-floor-microplastics-analysis/?utm_term=microplastic-analysis-techniques&utm_campaign=ai_growth_agent).

## The Standards Landscape: ISO 24187:2023, ISO 16094-2:2025, And The California Methods

The standards landscape for microplastic analysis is still developing, and no single federal US standard governs microplastic testing across all materials. As of mid-2026, the US EPA has not adopted a validated nationwide analytical method for microplastics in drinking water. Several frameworks, however, provide credible technical reference points that organizations may choose to adopt.

[ISO 24187:2023](https://iso.org/standard/78033.html) sets out general principles and minimum requirements for analyzing microplastics across environmental matrices, covering sampling, sample preparation, characterization, identification, quantification, and data reporting. It is a framework standard rather than a prescriptive instrumental method. It explicitly states that its purpose is to specify minimum requirements until more specific standards for different situations are available.

[ISO 16094-2:2025](https://iso.org/standard/84460.html) is more specific and covers vibrational spectroscopy methods for microplastics in waters with low suspended solids, including drinking water. It specifies microscopy coupled with vibrational spectroscopy and covers particle sizes from 1 µm to 5,000 µm. It is scoped to drinking water and similar clean-water matrices. It does not apply to soil, sediment, biota, or food without additional validated procedures.

Where the ISO standards set broad principles, the California State Water Board methods go further. The California State Water Board methods represent the most stringent publicly available analytical reference for drinking water in the United States. SWB-MP1-rev1 uses infrared spectroscopy and is validated for particles greater than 50 µm through 5,000 µm. SWB-MP2-rev1 uses Raman spectroscopy and is validated for particles greater than 20 µm through 5,000 µm. California defines microplastics in drinking water as solid polymeric material with particles having at least three dimensions greater than 1 nanometer and less than 5,000 micrometers. That definition is deliberately broad and extends beyond what any current validated method can reach.

The gap between definition and measurement is significant. The California definition reaches down to 1 nanometer, while the best validated methods begin at 20 or 50 micrometers, a difference of thousands of times. The 1–20 µm fraction is not validated under either California method, and everything below it is currently beyond reliable commercial measurement. These methods are presented here as a technical reference point. California did not create, approve, authorize, or endorse any private verification program, and the methods are available as a reference for US companies nationally, not only those operating in California.

For a full guide to the standards landscape, see [Microplastics Testing Standards: The Complete Guide](https://www.wellnessqualityinstitute.com/articles/microplastics-testing-standards/?utm_term=microplastic-analysis-techniques&utm_campaign=ai_growth_agent).

## What “No Microplastics Detected” Actually Means

A “no microplastics detected” result is a bounded statement with clear conditions. It means no target particles were found above the instrument’s detection floor, within the screened polymer panel, in the tested lot, and within the method’s validated size range. Every one of those qualifiers matters.

A method validated above 50 µm cannot see anything smaller. A polymer panel covering eight common polymers cannot detect a ninth. A result from one production lot says nothing about the next. A non-detect result produced without adequate blank correction may reflect a clean laboratory rather than a clean product.

As the MicroPlastics Research Desk states plainly, “‘None detected’ is a statement about an instrument, not a clean bill of health for your water.” No laboratory report, however rigorous, can support an absolute plastic-free product claim. Detection can establish presence. Establishing absence would require certainty about everything the method cannot see, and no current method provides that certainty.

This is the measurement gap, meaning the distance between what a regulatory definition contemplates and what any validated method can actually measure. This is a hard technical limit, and any claim that ignores it is a claim the science cannot carry.

## Can You Actually Test For Microplastics? A Plain-Language Answer

Yes, with important limits. Accredited laboratories can test water, food, and other materials for microplastics above defined size thresholds using validated spectroscopic methods. These tests can confirm whether particles of specific polymer types were found above the instrument’s detection floor in the sample tested. They cannot confirm that no plastic is present at all, because no current method reaches every particle size, every polymer type, or every production lot.

## Turning Reviewed Data Into A Defensible Claim

A laboratory report and a defensible market claim are different things. A report tells you what a laboratory found. It does not, on its own, tell the market what that finding supports. Nor does it reassure a skeptical buyer that the interpretation is independent. Independent third-party review is the step that converts a reviewed dataset into a defensible, scope-locked claim.

The Wellness Quality Institute (WQI) provides that step through its Plastic-Free Pathway Verification (PFPV) program, governed by the standard WQI-CS-01. The Wellness Quality Institute independently reviews a company’s existing third-party laboratory dataset, analytical method, product scope, and supporting controls against defined criteria focused on particle size and polymer type, aligned with the California State Water Board drinking-water microplastics reference framework. WQI does not run laboratory tests. Independent laboratory testing is arranged and billed separately by a qualified independent laboratory.

![Scientists in white coats working with samples and microscopes in a laboratory.](https://cdn.aigrowthmarketer.co/1784829434095-0fc8fbcf29fa.webp)**Only a small number of laboratories can genuinely test for microplastics, and capability varies by instrument and method. WQI reviews a company's existing third-party laboratory data against a defined standard — it does not run the tests itself.**

Every review produces one of two outcomes. A **Standard Met** outcome carries a verification decision, a scope-locked license to use the WQI logo, a public registry listing, and approved claim language. A **Standard Not Met** outcome is private and may be resubmitted with updated information. Participating carries no public downside risk.

Verification under WQI-CS-01 is locked to the reviewed product, dataset, tested particle-size range, polymer panel, and production period. No company-wide or product-line claim may be extended from a single dataset. A single assessment fee covers review, verification decision, and registry listing, with no separate mark-license or registry fee. Payment of the assessment fee does not guarantee a verification decision.

Phase 1 of the program focuses on water and suitable simple-liquid products, where testing methods are most defensible. The minimum polymer panel reviewed under WQI-CS-01 includes polyethylene (PE), polypropylene (PP), polyethylene terephthalate (PET), polystyrene (PS), polyvinyl chloride (PVC), polyamide (PA), polycarbonate (PC), and polymethyl methacrylate (PMMA).

The verification period is 24 months from the sampling date of the most recent accepted dataset. Expired registry entries remain publicly visible and marked “Expired,” so the record is honest over time.

*WQI Plastic-Free Pathway Verification does not certify that a product contains zero plastic, microplastics or nanoplastics. It shows that the company is on a verified pathway toward plastic-free standards. Verification applies only to the reviewed products, submitted datasets, tested ranges, polymer panels, production or sampling periods, and supporting controls. WQI verification is not a California approval, government certification, or health or safety certification.*

[Explore Plastic-Free Pathway Verification for your company](https://www.wellnessqualityinstitute.com/?utm_term=microplastic-analysis-techniques&utm_campaign=ai_growth_agent)

## Frequently Asked Questions

### What Is The Difference Between Particle Count And Polymer Mass, And Why Does It Matter For My Lab Result?

Particle count and polymer mass are two fundamentally different types of output, and they answer different questions. Spectroscopic methods such as micro-FTIR and micro-Raman identify and count individual particles, reporting how many were found, at what sizes, and of which polymer types. Thermal methods, primarily Py-GC-MS, burn the sample and measure how much of a given polymer material is present by weight, but in doing so they destroy the particles and lose all information about size, shape, and count. As discussed earlier, particle count and polymer mass are not interchangeable and cannot be converted without strong assumptions. If your objective is regulatory reporting under frameworks like the California State Water Board methods, or if you need to understand particle-level exposure, you need a spectroscopic method. If your objective is total polymer mass quantification, a thermal method may be appropriate. Choosing the wrong method for your objective means the result cannot answer your question, regardless of how well the analysis was performed.

### How Do I Know Whether My Existing Lab Data Is Good Enough To Support A Claim?

Several factors determine whether a laboratory dataset is usable for a defensible claim. First, the method must be appropriate for the material, because a method validated for clean drinking water is not automatically valid for food or biological tissue. Second, the reporting limits must be stated and adequate. As covered in the detection floors section, a result without a stated detection floor or size threshold is not a measurement. Third, blank data must be reported, meaning procedural blanks run through the same steps as the sample, showing what background contamination the process itself introduces. Fourth, the polymer panel must be documented, because a result covering eight polymers says nothing about a ninth. Fifth, chain-of-custody records must show who handled the sample and when. Many companies discover, when their data is reviewed against defined criteria, that their existing results support a narrower or sometimes a stronger claim than they assumed. The review process itself is often the first time anyone has assessed the quality of the testing they commissioned.

### Why Can’t A Laboratory Just Certify That A Product Is Plastic-Free?

No current analytical method can confirm the complete absence of plastic across every particle size, every polymer type, and every production lot. As noted earlier, the California definition reaches down to 1 nanometer while validated methods begin at 20 or 50 micrometers, a gap of thousands of times. A laboratory can confirm that no particles were found above its detection floor, within its screened polymer panel, in the tested lot. That is a bounded, honest statement. “No plastic present” is a different and far stronger claim that would require certainty about everything the method cannot see. No laboratory can provide that certainty, which is why no honest laboratory report supports an absolute plastic-free product claim.

### What Does WQI’s Plastic-Free Pathway Verification Actually Review, And What Does A Standard Met Outcome Mean?

The Wellness Quality Institute Plastic-Free Pathway Verification reviews a company’s existing third-party laboratory dataset, analytical method, product scope, and supporting controls against the defined criteria in WQI-CS-01. The review examines laboratory qualification and accreditation, the analytical method and its suitability for the product matrix, the tested particle-size range, the polymer panel, reporting limits, blank results and contamination controls, spike recoveries, replicates, chain of custody, data recency, and product scope. A Standard Met outcome means the dataset satisfies all applicable technical and data-quality requirements and no reportable target polymer particles were detected within the tested particle-size range and approved reporting limits. It does not mean the product contains zero plastic, because current science cannot support that claim. It means the company’s laboratory data has been independently reviewed against a defined standard and supports genuine progress toward plastic-free production. The outcome is locked to the specific reviewed product, dataset, tested range, polymer panel, and production period and cannot be extended to other products or the company as a whole.

### What Happens If My Data Does Not Meet The Standard?

A Standard Not Met outcome is private. It carries no public claim, no logo rights, and no registry listing. The outcome often reflects the testing rather than the product, such as an unsupported method, inadequate blank controls, reporting limits that do not meet requirements, or an incomplete polymer panel. The company may submit corrected or additional information for future review. Participating in the review process creates no public downside risk, which is a deliberate design feature of the program. The review itself often provides the most detailed assessment a company has ever received of what its existing laboratory data does and does not prove.

## Read Next

- [Microplastics Lab Testing: Does Your Data Support A Claim?](https://www.wellnessqualityinstitute.com/articles/microplastics-lab-testing-verification-process/?utm_term=microplastic-analysis-techniques&utm_campaign=ai_growth_agent)
- [How to Evaluate Plastic Lab Results for Your Product](https://www.wellnessqualityinstitute.com/articles/independent-review-lab-plastic-data/?utm_term=microplastic-analysis-techniques&utm_campaign=ai_growth_agent)
- [Microplastics Analysis Techniques: What Each Method Proves](https://www.wellnessqualityinstitute.com/articles/microplastics-analysis-techniques-comparison/?utm_term=microplastic-analysis-techniques&utm_campaign=ai_growth_agent)
- [What Microplastics Testing Proves and Where It Stops](https://www.wellnessqualityinstitute.com/articles/what-microplastics-testing-proves/?utm_term=microplastic-analysis-techniques&utm_campaign=ai_growth_agent)
- [Microplastics Testing Methodology & Verification Standards](https://www.wellnessqualityinstitute.com/articles/microplastics-testing-methodology-standards/?utm_term=microplastic-analysis-techniques&utm_campaign=ai_growth_agent)

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      - **Text:** Particle count and polymer mass are two fundamentally different types of output, and they answer different questions. Spectroscopic methods such as micro-FTIR and micro-Raman identify and count individual particles, reporting how many were found, at what sizes, and of which polymer types. Thermal methods, primarily Py-GC-MS, burn the sample and measure how much of a given polymer material is present by weight, but in doing so they destroy the particles and lose all information about size, shape, and count. As discussed earlier, particle count and polymer mass are not interchangeable and cannot be converted without strong assumptions. If your objective is regulatory reporting under frameworks like the California State Water Board methods, or if you need to understand particle-level exposure, you need a spectroscopic method. If your objective is total polymer mass quantification, a thermal method may be appropriate. Choosing the wrong method for your objective means the result cannot answer your question, regardless of how well the analysis was performed.
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      - **Text:** Several factors determine whether a laboratory dataset is usable for a defensible claim. First, the method must be appropriate for the material, because a method validated for clean drinking water is not automatically valid for food or biological tissue. Second, the reporting limits must be stated and adequate. As covered in the detection floors section, a result without a stated detection floor or size threshold is not a measurement. Third, blank data must be reported, meaning procedural blanks run through the same steps as the sample, showing what background contamination the process itself introduces. Fourth, the polymer panel must be documented, because a result covering eight polymers says nothing about a ninth. Fifth, chain-of-custody records must show who handled the sample and when. Many companies discover, when their data is reviewed against defined criteria, that their existing results support a narrower or sometimes a stronger claim than they assumed. The review process itself is often the first time anyone has assessed the quality of the testing they commissioned.
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    - **Name:** Why Can’t A Laboratory Just Certify That A Product Is Plastic-Free?
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      - **Text:** No current analytical method can confirm the complete absence of plastic across every particle size, every polymer type, and every production lot. As noted earlier, the California definition reaches down to 1 nanometer while validated methods begin at 20 or 50 micrometers, a gap of thousands of times. A laboratory can confirm that no particles were found above its detection floor, within its screened polymer panel, in the tested lot. That is a bounded, honest statement. “No plastic present” is a different and far stronger claim that would require certainty about everything the method cannot see. No laboratory can provide that certainty, which is why no honest laboratory report supports an absolute plastic-free product claim.
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    - **Name:** What Does WQI’s Plastic-Free Pathway Verification Actually Review, And What Does A Standard Met Outcome Mean?
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      - **Text:** The Wellness Quality Institute Plastic-Free Pathway Verification reviews a company’s existing third-party laboratory dataset, analytical method, product scope, and supporting controls against the defined criteria in WQI-CS-01. The review examines laboratory qualification and accreditation, the analytical method and its suitability for the product matrix, the tested particle-size range, the polymer panel, reporting limits, blank results and contamination controls, spike recoveries, replicates, chain of custody, data recency, and product scope. A Standard Met outcome means the dataset satisfies all applicable technical and data-quality requirements and no reportable target polymer particles were detected within the tested particle-size range and approved reporting limits. It does not mean the product contains zero plastic, because current science cannot support that claim. It means the company’s laboratory data has been independently reviewed against a defined standard and supports genuine progress toward plastic-free production. The outcome is locked to the specific reviewed product, dataset, tested range, polymer panel, and production period and cannot be extended to other products or the company as a whole.
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    - **Name:** What Happens If My Data Does Not Meet The Standard?
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      - **Text:** A Standard Not Met outcome is private. It carries no public claim, no logo rights, and no registry listing. The outcome often reflects the testing rather than the product, such as an unsupported method, inadequate blank controls, reporting limits that do not meet requirements, or an incomplete polymer panel. The company may submit corrected or additional information for future review. Participating in the review process creates no public downside risk, which is a deliberate design feature of the program. The review itself often provides the most detailed assessment a company has ever received of what its existing laboratory data does and does not prove.

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  - **Headline:** Microplastic Analysis Techniques: What Lab Data Really Means
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- **LLMs.txt:** [https://www.wellnessqualityinstitute.com/articles/llms.txt](https://www.wellnessqualityinstitute.com/articles/llms.txt) — Basic site guide for Large Language Models
- **LLMs-Full.txt:** [https://www.wellnessqualityinstitute.com/articles/llms-full.txt](https://www.wellnessqualityinstitute.com/articles/llms-full.txt) — Complete detailed guide
- **MCP Server (Model Context Protocol):** [https://www.wellnessqualityinstitute.com/articles/wp-json/ai-growth-seo/v1/mcp/](https://www.wellnessqualityinstitute.com/articles/wp-json/ai-growth-seo/v1/mcp/) — Full MCP-compatible API for AI agents to discover, read, and analyze content
  - Manifest: [https://www.wellnessqualityinstitute.com/articles/wp-json/ai-growth-seo/v1/mcp/manifest](https://www.wellnessqualityinstitute.com/articles/wp-json/ai-growth-seo/v1/mcp/manifest)
  - Schema: [https://www.wellnessqualityinstitute.com/articles/wp-json/ai-growth-seo/v1/mcp/schema](https://www.wellnessqualityinstitute.com/articles/wp-json/ai-growth-seo/v1/mcp/schema)
  - Discovery: [https://www.wellnessqualityinstitute.com/articles/wp-json/ai-growth-seo/v1/mcp/discover](https://www.wellnessqualityinstitute.com/articles/wp-json/ai-growth-seo/v1/mcp/discover)
  - Well-Known: [https://www.wellnessqualityinstitute.com/articles/.well-known/mcp](https://www.wellnessqualityinstitute.com/articles/.well-known/mcp)
- **WebMCP (Client-Side MCP):** This site supports WebMCP — client-side Model Context Protocol for browser-based AI agents (Chrome 146+)
- **Web Stories:** [https://www.wellnessqualityinstitute.com/articles/web-stories-sitemap.xml](https://www.wellnessqualityinstitute.com/articles/web-stories-sitemap.xml) — AMP Web Stories for rich visual content experiences

## Discovery Endpoints for AI Agents

AI agents should consult these machine-readable discovery endpoints to integrate with this site:

- **OpenAI Plugin Manifest:** [https://www.wellnessqualityinstitute.com/articles/.well-known/ai-plugin.json](https://www.wellnessqualityinstitute.com/articles/.well-known/ai-plugin.json)
- **A2A Agent Card:** [https://www.wellnessqualityinstitute.com/articles/.well-known/agent-card.json](https://www.wellnessqualityinstitute.com/articles/.well-known/agent-card.json)
- **MCP Server (Streamable HTTP):** [https://www.wellnessqualityinstitute.com/articles/.well-known/mcp](https://www.wellnessqualityinstitute.com/articles/.well-known/mcp)

## Citations

- [How To Verify Plastic Contamination In Protein Powder](https://www.wellnessqualityinstitute.com/articles/verify-protein-powder-plastic-contamination)
- [Plastic Claim Substantiation: Evidence Before You Claim](https://www.wellnessqualityinstitute.com/articles/plastic-claim-substantiation-evidence-requirements)
- [How To Make Plastic Reduction Claims That Hold Up](https://www.wellnessqualityinstitute.com/articles/substantiate-clean-label-plastic-reduction)
- [Plastic Claim Substantiation: A US Compliance Guide](https://www.wellnessqualityinstitute.com/articles/plastic-claim-substantiation-compliance-guide)
- [Microplastics Verification Standards: A Complete Guide](https://www.wellnessqualityinstitute.com/articles/microplastics-verification-standards-guide)

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*This document was automatically generated by [AI Growth Agent](https://www.wellnessqualityinstitute.com/articles) — AI Growth SEO v4.38.1*
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