These colorants are based in polysulfone resins which can withstand up to 1,000 autoclave cycles and high heat sterilization to 150°C, as well as hold up to the effects of harsh cleaning agents. KEY CHARACTERISTICS • Can be formulated for PESU, PPSU, and PSU • 43 standard colors as well as custom colors available • Ultra-high heat resistance • Based on raw materials pretested per ISO 10993 • Range of brilliant, vibrant colors • Based on raw materials compliant with food contact • Customizable with functional additive solutions • Based in polysulfone resins for ultra-high performance; may be formulated for other resin types • Low minimum order quantities available MARKETS AND APPLICATIONS Transcend colorants are formulated specifically for the healthcare market, and ideal for applications such as: • Dental tools and equipment • Surgical robots • Surgical lighting • Diagnostic equipment PRODUCT BULLETIN & COLOR CARD Colors may vary from actual color shown.

Helping to improve sustainability over the end- product lifecycle, Complēt PKE formulations offer a reduced carbon footprint as a result of the base resin. TECHNICAL PROPERTIES(1) TEST METHOD Complēt LGF30-PKE NAT Complēt LGF40-PKE NAT Complēt LGF50-PKE NAT Physical Density/Specific Gravity ASTM D792 1.47 1.54 1.66 Mechanical Tensile Strength (Yield) ASTM D638 21,100 psi 24,700 psi 26,400 psi Tensile Modulus(2) ASTM D638 1,150,000 psi 1,570,000 psi 2,150,000 psi Flexural Modulus(3) ASTM D790 1,120,000 psi 1,480,000 psi 2,030,000 psi Flammability (non-PFAS options available) Flame Rating @ 1.5 mm UL 94 V-0 V-0 — COLD IMPACT PERFORMANCE Ft -l b/ in Data based on single lot of lab-generated samples. ■ Notched 23C ■ Unnotched 23C ■ Unnotched -30C■ Notched -30C 0 5 10 15 20 25 Complēt LGF30-PKE NAT Complēt LGF40-PKE NAT Complēt LGF50-PKE NAT Izod Impact Notched ASTM D256/Unnotched ASTM D4812 4.1 4.7 5.4 18.9 19.5 19.919.1 19.8 20.1 4.0 4.6 5.0 (1) Data based on single lot of lab generated samples.

ADDING VALUE TO A WIDE RANGE OF HEALTHCARE APPLICATIONS Our expertise and market understanding are based on numerous years of working in these highly demanding sectors. This includes offering bio-based solutions where possible, helping reduce material use, and providing custom formulations to reduce fossil fuel-based usage and achieve higher sustainability. Avient provides color and functional additive concentrates based on bio-polymers that follow the concept of consistency and compliance of our Mevopur portfolio.

validitystatement1: Validity of this certificate is based on the successful completion of the periodic surveillance audits of the management system defined by the above scope and is contingent upon prompt,written notification to ABS Quality Evaluations, Inc. of significant changes to the management system or components thereof. FACILITY1_LINE4: FACILITY1_LINE5: FACILITY1_LINE6: STANDARD: ISO 13485:2016 MANAGEMENT_TYPE2: The Quality Management System is applicable to: DATE_LABEL_1TF: DATE_VALUE_1TF: DATE_LABEL_2TF: DATE_VALUE_2TF: DATE_LABEL_3TF: Certificate No: DATE_VALUE_3TF: 54139 DATE_LABEL_4TF: Certification Date: DATE_VALUE_4TF: 04 September 2019 DATE_LABEL_5TF: Effective Date: DATE_VALUE_5TF: 01 September 2016 DATE_LABEL_6TF: Expiration Date: DATE_VALUE_6TF: 01 September 2022 DATE_LABEL_7TF: Revision Date: DATE_VALUE_7TF: 04 September 2019 MARK_3: MARK_2: SIGNATURE_NAME: Dominic Townsend, President SIGNATURE_IMAGE: 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 AUDIT_COMPLIANCE: MARK_1: SCOPE_DESCRIPTION: DESIGN, COMPOUND AND SUPPLY OF THERMOPLASTICS FOR THE MEDICAL DEVICE INDUSTRY.

They are based on management's expectations that involve a number of business risks and uncertainties, any of which could cause actual results to differ materially from those expressed in or implied by the forward-looking statements. Senior management believes these measures are useful to investors because they allow for comparison to PolyOne's performance in prior periods without the effect of items that, by their nature, tend to obscure PolyOne's operating results due to the potential variability across periods based on timing, frequency and magnitude. Share-based compensation expense

operating results due to the potential variability across periods based on timing, frequency and magnitude. Share-based compensation expense operating results due to the potential variability across periods based on timing, frequency and magnitude.

operating results due to the potential variability across periods based on timing, frequency and magnitude. Share-based compensation expense operating results due to the potential variability across periods based on timing, frequency and magnitude.

operating results due to the potential variability across periods based on timing, frequency and magnitude. Share-based compensation expense operating results due to the potential variability across periods based on timing, frequency and magnitude.

operating results due to the potential variability across periods based on timing, frequency and magnitude. Share-based compensation expense operating results due to the potential variability across periods based on timing, frequency and magnitude.

operating results due to the potential variability across periods based on timing, frequency and magnitude. Share-based compensation expense  operating results due to the potential variability across periods based on timing, frequency and magnitude.