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510(k) Data Aggregation
(20 days)
The Surgical Masks are intended to be worn to protect both the patient and healthcare personnel from transfer of microorganisms, body fluids and particulate material. These face masks are intended for use in infection control practices to reduce the potential exposure to blood and body fluids. This is a single use, disposable device(s), provided non-sterile/ sterile.
The Surgical Masks are Flat Pleated type mask, utilizing Ear Loops way for wearing, and they all have Nose Piece design for fitting the face mask around the nose. The Face Masks are manufactured with three layers. The outer layer is made of spunbonded polypropylene (PP) non-woven fabric. The middle layer with filtration function is made of melt blown polypropylene (PP) non-woven fabric. The inner layer contact with face is made of polypropylene (PP) fabric. The Surgical Masks are single use, disposable device, provided non-sterile/sterile.
The provided text is a 510(k) Summary for a Surgical Mask (K202354). It details non-clinical performance testing for the device. Clinical studies (multi-reader multi-case, standalone, etc.) were explicitly not part of this submission, as stated in Section VIII: "No clinical study is included in this submission." Therefore, the information regarding expert adjudication, ground truth establishment for a training set, and the specific details of comparative effectiveness studies (MRMC) are not applicable to this submission.
Here's a breakdown of the requested information based on the provided document:
1. Table of Acceptance Criteria and Reported Device Performance
| Methodology | Purpose | Acceptance Criteria | Reported Device Performance Results |
|---|---|---|---|
| ASTM F1862M-17 | Fluid Resistance Performance | 29 out of 32 pass at 120mmHg | 32 out of 32 pass at 120mmHg |
| ASTM F2299 | Particulate Filtration Efficiency | ≥95% | 95.8~96.8% |
| ASTM F2101-19 | Bacterial Filtration Efficiency | ≥95% | 98.3~99.2% |
| EN 14683:2019 Annex C | Differential Pressure | < 5.0mmH2O/cm² | 3.7~3.8 mmH2O/cm² |
| 16 CFR 1610 | Flammability | Class I non flammable | non flammable |
2. Sample Size Used for the Test Set and Data Provenance
The document does not explicitly state the specific sample size for each test, but for Fluid Resistance, it mentions "29 out of 32 pass at 120mmHg" for the acceptance criteria and "32 out of 32 pass at 120mmHg" for the results, implying a sample size of 32 for that specific test.
The data provenance is from Hunan Heng Chang Pharmaceutical Co., Ltd. in China. The tests are described as "non clinical performance tests," which are typically laboratory-based and generally considered prospective for the device's validation.
3. Number of Experts Used to Establish Ground Truth and Qualifications of Experts
Not Applicable. This submission is for a surgical mask based on non-clinical performance testing against established standards, not an AI/imaging device requiring expert consensus for ground truth.
4. Adjudication Method for the Test Set
Not Applicable. As per point 3, this is non-clinical performance testing against objective standards, not a diagnostic accuracy study requiring adjudication.
5. If a Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study was done, and its effect size
No. The document explicitly states: "No clinical study is included in this submission."
6. If a Standalone (i.e. algorithm only without human-in-the-loop performance) was done
No. This is a physical medical device (surgical mask), not a software algorithm. The performance evaluation is based on material and structural properties as tested in laboratory settings.
7. The Type of Ground Truth Used
The "ground truth" for this device's performance is established by objective measurements against recognized industry standards. These include:
- Fluid penetration resistance (synthetic blood)
- Particulate filtration efficiency
- Bacterial filtration efficiency
- Differential pressure (breathability)
- Flammability
These standards specify the methodology and acceptance criteria for measuring these physical properties.
8. The Sample Size for the Training Set
Not Applicable. This is not an AI/machine learning device that requires a training set.
9. How the Ground Truth for the Training Set Was Established
Not Applicable. As per point 8, there is no training set for this device.
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