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510(k) Data Aggregation

    K Number
    K221829
    Date Cleared
    2022-09-23

    (92 days)

    Product Code
    Regulation Number
    884.5300
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    Wet Flavored Personal Lubricants

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    Wet Flavored Personal Lubricants are personal lubricants for penile and/or vaginal application, intended to moisturize and lubricate, to enhance the ease and comfort of intimate sexual activity and supplement the body's natural lubrication. The product is compatible with natural rubber latex and polyisoprene condoms. The product is not compatible with polyurethane condoms.

    Device Description

    The Wet Flavored Personal Lubricants are clear, non-sterile, over-the-counter personal lubricants, formulated to be clear, particle-free, and colorless to slight yellow. The device is designed to supplement the body's own natural lubrication fluids during intimate sexual activity. The product is compatible with natural rubber latex and polyisoprene condoms. The product is not compatible with polyurethane condoms. The device formula is neither a contraceptive nor a spermicide.

    AI/ML Overview

    The provided document describes the FDA's 510(k) clearance for "Wet Flavored Personal Lubricants," establishing its substantial equivalence to a predicate device. The document does not contain details about a study that adheres to the format of acceptance criteria, test set, ground truth, and human reader performance typically associated with AI/ML diagnostic tools. Instead, it presents performance data for the lubricant itself, focusing on biocompatibility, shelf-life, and condom compatibility.

    Here's an analysis based on the information provided, reinterpreting the "acceptance criteria" and "study" to fit the context of this device's clearance:

    1. A table of acceptance criteria and the reported device performance

    PropertyAcceptance Criteria (Specification)Reported Device Performance
    AppearanceParticle freeParticle free
    ColorColorless to Slight YellowColorless to Slight Yellow
    OdorSweet/CharacteristicSweet/Characteristic
    Viscosity (cps)200-700 cps200-700 cps (Meets specification)
    Specific Gravity1.05 - 1.151.05 - 1.15 (Meets specification)
    pH5.5-6.85.5-6.8 (Meets specification)
    Osmolality400-800 mOsm/kg400-800 mOsm/kg (Meets specification)
    Antimicrobial effectiveness per USPMeets USP acceptance criteria for Category 2 productsMeets USP acceptance criteria for Category 2 products
    Total aerobic microbial count (TAMC) per USP andand:
    Pseudomonas aeruginosaAbsentAbsent
    Staphylococcus aureusAbsentAbsent
    SalmonellaAbsentAbsent
    Escherichia coliAbsentAbsent
    Candida AlbicansAbsentAbsent
    BiocompatibilityNon-cytotoxic, non-irritating, non-sensitizing, not systemically toxicNon-cytotoxic, non-irritating, non-sensitizing, not systemically toxic
    Shelf-Life2 yearsShown to have a 2-year shelf-life (accelerated aging confirmed; real-time ongoing)
    Condom CompatibilityCompatible with natural rubber latex and polyisoprene condoms; not compatible with polyurethane condomsCompatible with natural rubber latex and polyisoprene condoms; not compatible with polyurethane condoms

    2. Sample sized used for the test set and the data provenance

    The document does not specify a "sample size" in the context of a test set for an AI/ML device, nor does it provide data provenance in terms of country of origin or retrospective/prospective nature. Instead, the "test set" would be the samples of the lubricant itself that were subjected to various physical, chemical, and biological tests. The specific quantities of lubricant used for each test are not detailed in this summary.

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts

    This information is not applicable to this type of device clearance. "Ground truth" for a personal lubricant is established through objective laboratory testing against recognized standards (e.g., USP monographs, ASTM standards, ISO standards for biocompatibility), not by expert consensus in the way a diagnostic AI/ML algorithm's performance is often evaluated. The experts involved would be laboratory technicians and scientists performing the tests, but their number and specific qualifications are not detailed here.

    4. Adjudication method for the test set

    Not applicable. This concept is typically relevant for subjective assessments in AI/ML performance evaluation where a consensus among human experts is needed. For the lubricant, the results are objective measurements or categorical determinations (e.g., "absent," "meets criteria").

    5. If a multi reader multi case (MRMC) comparative effectiveness study was done, If so, what was the effect size of how much human readers improve with AI vs without AI assistance

    Not applicable. This is not an AI/ML device. There are no human readers or AI assistance involved in evaluating the lubricant's performance in this context.

    6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done

    Not applicable, as this is not an AI/ML algorithm. The performance evaluation is inherently "standalone" in the sense that the device's properties are measured directly without human interpretation influencing the measurement outcome (though humans operate the testing equipment).

    7. The type of ground truth used

    The ground truth for this device is based on:

    • Objective laboratory measurements and chemical/physical properties: For appearance, color, odor, viscosity, specific gravity, pH, and osmolality.
    • Established microbiological standards: USP , , , for antimicrobial effectiveness and microbial counts/absence of pathogens.
    • International biological evaluation standards: ISO 10993 series for biocompatibility.
    • ASTM standards: For condom compatibility (ASTM D7661-18, ASTM D3492-16).

    These standards and measurements define the "ground truth" for whether the product meets its specifications and safety requirements.

    8. The sample size for the training set

    Not applicable. This is not an AI/ML device, so there is no concept of a "training set."

    9. How the ground truth for the training set was established

    Not applicable, as there is no training set for this type of device.

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