NEX QC+ QuantEZ - Additives in Polymers

Scope
This application note demonstrates the use of EDXRF to measure additives in
petroleum-based polymers and polyvinyl chloride (PVC) using the Rigaku
NEX QC+ QuantEZ.
Background
Petroleum-based petrochemical polymers such as polypropylene (PP), polyethylene (PE), polyethylene terephthalate (PET, PETE), and polyvinyl chloride (PVC) often contain compound additives that help achieve specific properties desired in the polymer. These additives include lubricants, plasticizers, stabilizers, anti-block, impact modifiers, and flame retardants and typically include elements such as Mg, Al, Si, P, Cl, Ca, Ti, Zn, Br, and Sb. During the production process, the elemental composition must be measured to ensure that the polymer formulations meet targeted specifications. To maintain proper quality control during production, test samples are made, and the trace elements are measured.
Energy dispersive X-ray fluorescence (EDXRF) offers a fast, non-destructive method for performing elemental analysis in various sample forms. Applied Rigaku Technologies provides a full line of benchtop EDXRF analyzers, such as the NEX QC+ QuantEZ. They are well-suited for quality control applications throughout
the polymer manufacturing process due to their intuitive software interface, innovative design, and powerful analytical performance. Rigaku EDXRF systems make an excellent tool for quality control checks at several places along the polymer production process.
Methodology
Empirical best-fit regression calibration, Fundamental Parameters (FP) screening, and FP with Matching Library are demonstrated.
Additives in PP
Calibration by empirical best-fit regression
Because all elements are at trace levels, X-ray absorption/enhancement effects are negligible and can be ignored for process quality control. Each calibration standard can include all elements dispersed independently, or a series of single-element standards can be used to make calibrations. A series of single-element standards were used in this demonstration, with the calibration results summarized here.
Element | Number of standards | Concentration range |
Al | 3 | 76 – 230 ppm |
Si | 5 | 0.018 – 0.097 mass% |
P | 4 | 36 – 92 ppm |
Cl | 5 | 24 – 103 ppm |
Ca | 4 | 38 – 188 ppm |
Ti | 2 | 3.7 – 9.2 ppm |
Repeatability (precision)
Typical precision is shown here. Ten repeat analyses of each middle concentration sample were performed with the sample in a static position using a total analysis time of 600 sec per analysis.
Element | Units | Known value | Average result |
Std. deviation | % Relative |
Al | ppm | 109 | 114 | 11 | 10% |
Si | mass% | 0.0597 | 0.0584 | 0.0010 | 1.7% |
P | ppm | 51 | 55.2 | 2.4 | 4.7% |
Cl | ppm | 54 | 52.0 | 0.7 | 1.3% |
Ca | ppm | 74 | 73.8 | 1.1 | 1.5% |
Ti | ppm | 3.7 | 3.8 | 0.3 | 8.1% |
Additives in PVC
Calibration by FP with Matching Library
Rigaku RPF-SQX FP software estimates elemental concentration based on XRF theory Fundamental Parameters (FP). Rigaku Profile Fitting automatically deconvolutes spectral peaks and models the sample matrix using fundamental XRF equations to provide semi-quantitative measurements of elemental concentrations without the need for any known standards.
FP accuracy is optimized by creating Matching Libraries using well-assayed, matrix-matched type standards. Matching Libraries can be easily created by the user and are used in conjunction with the standard FP library in the modeling of a sample matrix and calculation of concentration results. This allows for a quantitative measurement of elemental concentrations without needing a large suite of known assayed calibration standards.
For this demonstration analyzing PVC, the default Polymer template was used as the basis for the analysis of the PVC plaques. Cl was analyzed as an element to give Cl content, and polyethylene was set as the default matrix balance component (unmeasurable portion of the sample) to represent the remaining C₂H₃ part of PVC.
A 2-point Matching Library was used to optimize FP using two PCV samples with accurate known assay numbers for each element.
A Matching Library adjusts FP theory to match the actual material and referee numbers.
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Example: Matching Libraries for Sb and Zn in PVC
Results — FP with Matching Library
Sample ID: PVC Sample 1 Units: Mass% |
|||
Component | Known value | Result | Stat. error |
Mg | 0.510 | 0.485 | 0.0016 |
Al | 1.48 | 1.36 | 0.0045 |
Si | 1.30 | 1.20 | 0.0026 |
Cl | 30.60 | 30.95 | 0.0113 |
Ca | 4.02 | 4.12 | 0.0196 |
Fe | n/a | 0.0160 | 0.0004 |
Zn | 0.0300 | 0.0310 | 0.0002 |
Sr | n/a | 0.0020 | <0.0001 |
Sb | 0.499 | 0.508 | 0.0008 |
Pb | n/a | 0.0007 | <0.0001 |
Polyethylene | Balance | 61.32 | Balance |
Sample ID: PVC Sample 2 Units: Mass% |
|||
Component | Known value | Result | Stat. error |
Mg | 0.180 | 0.177 | 0.0024 |
Al | 1.33 | 1.41 | 0.0046 |
Si | 1.31 | 1.38 | 0.0027 |
Cl | 30.90 | 29.54 | 0.0100 |
Ca | 3.96 | 4.58 | 0.0209 |
Fe | n/a | 0.0173 | 0.0004 |
Zn | 0.0100 | 0.0098 | 0.0001 |
Sr | n/a | 0.0021 | <0.0001 |
Sb | 2.00 | 2.12 | 0.0019 |
Pb | n/a | 0.0021 | 0.0001 |
Polyethylene | Balance | 60.7675 | Balance |
n/a means no Matching Library was used, results are semi-quant screening for informational purposes
Flame retardants in polymer additive beads and finished polymer sheets
Demonstrated here are the analyses of flame-retardant additives as beads and a finished polymer sheet containing flame retardants by FP semi-quant screening.
Sample ID: Additive Units: Mass% | ||
Component | Quant EZ value | Stat. error |
Br | 3.85 | 0.0021 |
Sb | 1.94 | 0.0023 |
Si | 0.524 | 0.0017 |
Ti | 0.0383 | 0.0012 |
Ni | 0.0140 | 0.0002 |
PE | 93.64 | Balance |
Sample ID: Finished Film Units: Mass% | ||
Component | Quant EZ value | Stat. error |
Br | 3.85 | 0.0021 |
Sb | 1.94 | 0.0023 |
Si | 0.524 | 0.0017 |
Ti | 0.0383 | 0.0012 |
Ni | 0.0140 | 0.0002 |
PE | 93.64 | Balance |
Conclusion
EDXRF provides a rapid, non-destructive means of semi-quantitative measurement for screening and identification, as well as elemental quantification of metals, solids, powder, pellets, thin films, and liquids. Various methods of calibration and measurement give the user flexibility to develop calibrations and methodology to best suit the needs of their quality control programs. The NEX QC+ QuantEZ is powerful yet simple and intuitive software that gives the quality control lab and at-line technicians a fast means of making QC checks along the production process line in the manufacturing of polymers.
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