IAC Cotton Standard Reference Control Fabric
$20.00 / Piece
This fabric was tested by the IAC and found to be an acceptable (SRC) standard untreated reference control fabric. It is a consistent, chemically neutral, cotton fabric that will exhibit predictable background microbial growth and odor absorption activity when used with methods such as AATCC TM100, AATCC TM216, ASTM E2149, ISO 20743, ISO 17299-3, and IACM 0714.
Description
Our stock fabrics are prepared for printing and dyeing through controlled desizing, scouring, and bleaching, with no added sizings, finishes, or resins. Each lot is validated in our lab for weight, width, pH, dye affinity, and overall continuity with previous production. When any characteristic shifts outside expected tolerances, the change is documented and communicated. The International Antimicrobial Council (IAC) is partnered with Testfabrics, Inc. to support testing laboratories around the world with consistent access to reliable standard untreated reference control fabrics. (SRC). Each of the IAC Certified Control SRC fabrics have been tested at the IAC using various odor absorbing and antimicrobial test methods. Through this partnership, labs can source well defined, reproducible, SRC fabrics specifically suited for use in antimicrobial and anti odor test methods. IAC Cotton Standard Reference Control Fabric does not contain any finishes, resins, binders, softeners, dyes, antimicrobial treatments, or anti odor treatments. This fabric was selected by the IAC because of its known odor absorption profiles and because microorganisms can survive and behave predictably on the surface of this cotton fabric substrate, under controlled test conditions. The joint collaboration between the IAC and Testfabrics, Inc. eliminates uncertainty around untreated fabric sourcing because the IAC tested each lot of SRC fabric and approved only those materials with observed background microbial growth and odor absorption capabilities. Using IAC certified SRC fabrics ensures that labs worldwide are working with the same baseline materials when generating antimicrobial and anti-odor performance data. Laboratories that regularly conduct antimicrobial and odor control testing should implement SRC Fabrics as part of their testing programs to improve testing accuracy, reproducibility, reported data, and results. This approach also helps to give confidence to the customer that their treated articles deliver reliable performance and accurate claims.
General Information
| Product Name | IAC Cotton Standard Reference Control Fabric |
| Product Number | 3102002 |
| Fiber Type | 100% Cotton |
| Fabric Construction | Woven, plain weave |
| Approx Weight of the fabric per square meter | 109.5 g/m2 |
| Approx dimensions of the precut test piece | 9” x 11” Straight Edge |
| Net Weight of one 9″x11″ piece | 3g |
| Test Methods | AATCC EP 11, AATCC TM 100, ASTM E2149, ASTM E3160, ISO 20743, ISO 22196, JIS L 1902, JIS Z 2801 |
| Testing Standards | AATCC 1. TM (TEST METHODS), ASTM, ISO, JIS |
| MOQ | 1 Piece |
Fabric Characteristics
| Yarn – Warp | 105 |
| Yarn- Filling | 78 |
| Face side appearance | White, no optical brightener, plain weave, opaque, tight weave |
| Back Side appearance | Same as face, White, no optical brightener, plain weave, opaque, tight weave |
| Fabric Hand | Soft, smooth, medium weight |
How product is used across industries
| QA Testing | The purpose of the cotton untreated standard reference control fabric is to provide a scientifically valid baseline point of comparison against which treated textiles are evaluated |
| How the control fabric is used | The defining characteristic of the IAC Cotton Standard Reference Control Fabric is the fabric’s consistency, chemical neutrality, and reproducibility from test to test. The IAC would recommend using the Cotton SRC if you are testing a cotton or cotton blend of fabric. By supporting predictable performance activity across repeated testing, the SRC cotton fabric reduces baseline variability and mitigates deviation that can distort log reduction or percent reductions calculations. |
