ACZA Wood Treatment

    Application Note EDXRF1225

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    Scope

    The measurement of Ammonia Copper Zinc Arsenate (ACZA) treated wood and wood treatment solutions is demonstrated.

    Background

    Wood treatments are used to protect lumber from fungi, insects, UV damage, and general wear. Common wood treatment formulations contain only Copper, CCA, Penta, and ACZA. ACZA is often used to treat wood species that do not easily retain other treatments, such as Douglas fir. When treating wood, the proper balance of treatment solution must be monitored to ensure the highest quality while minimizing waste and excess cost due to treatment usage or product rejection. Copper, Zinc and Arsenic levels are monitored in solution prior to treatment, and then in the wood to ensure proper retention. A quick, simple, reliable means of analysis is required throughout the quality control process. XRF is an ideal tool for such analysis.

    800x610 NEX QC+ (S in Crude screen)_picture_2020.06.25Model: NEX QC

    Calibration – ACZA in wood

    An empirical calibration was built using a set of assayed wood standards.

    Element: CuO
    Units: %
    Sample I.D. Standard value Calculated value
    W-A 0.518 0.531
    W-B 0.789 0.788
    W-C 1.150 1.145
    W-D 0.989 0.963
    W-F 1.660 1.685
    W-G 2.990 2.984

     

    EDXRF1225 Correlation plot CuO in wood

    Correlation plot CuO in wood


    Element: ZnO
    Units: %
    Sample I.D. Standard value Calculated value
    W-A 0.264 0.266
    W-B 0.382 0.381
    W-C 0.518 0.506
    W-D 0.457 0.464
    W-F 0.771 0.775
    W-G 1.440 1.439

    EDXRF1225 Correlation plot ZnO in woodCorrelation plot ZnO in wood


    Element: As₂O₅
    Units: %
    Sample I.D. Standard value Calculated value
    W-A 0.189 0.199
    W-B 0.293 0.285
    W-C 0.421 0.396
    W-D 0.368 0.389
    W-F 0.632 0.594
    W-G 1.280 1.281

    EDXRF1225 Correlation plot As2O5 in woodCorrelation plot As₂O₅ in wood

    Repeatability – ACZA in wood

    To demonstrate repeatability (precision), the low and high samples were chosen from the set of calibration standards. Each sample was measured in static position.

    Element: CuO
    Units: %
    Sample I.D. Standard value Average value Std. dev % Relative
    W-A 0.518 0.5209 0.0014 0.3
    W-G 2.990 3.047 0.015 0.5

    Element: ZnO
    Units: %
    Sample I.D. Standard value Average value Std. dev % Relative
    W-A 0.264 0.2601 0.0010 0.4
    W-G 1.440 1.455 0.005 0.4

    Element: As₂O₅
    Units: %
    Sample I.D. Standard value Average value Std. dev % Relative
    W-A 0.189 0.1874 0.0011 0.5
    W-G 1.280 1.289 0.002 0.2

    Calibration – ACZA in solution

    An empirical calibration was built using a set of assayed solution standards.

    Element: CuO
    Units: %
    Sample I.D. Assay value Calculated value
    S-A 0.53 0.552
    S-B 1.03 1.032
    S-C 1.56 1.541
    S-D 2.11 2.061
    S-E 2.52 2.574
    S-F 5.09 5.086

    EDXRF1225 Correlation plot CuO in solutionCorrelation plot CuO in solution


    Element: ZnO
    Units: %
    Sample I.D. Assay value Calculated value
    S-A 0.26 0.290
    S-B 0.52 0.510
    S-C 0.76 0.759
    S-D 1.01 1.019
    S-E 1.30 1.281
    S-F 2.49 2.495

    EDXRF1225 Correlation plot ZnO in solutionCorrelation plot ZnO in solution


    Element: As₂O₅
    Units: %
    Sample I.D. Assay value Calculated value
    S-A 0.26 0.285
    S-B 0.53 0.528
    S-C 0.80 0.788
    S-D 1.08 1.039
    S-E 1.30 1.334
    S-F 2.63 2.633

    EDXRF1225 Correlation plot As2O5 in solutionCorrelation plot As₂O₅ in solution

    Repeatability – ACZA in solution

    To demonstrate repeatability (precision), the low and high samples were chosen from the set of calibration standards. Each sample was measured in static position.

    Element: CuO
    Units: %
    Sample I.D. Standard value Average value Std. dev % Relative
    S-A 0.53 0.525 0.003 0.6
    S-F 5.09 5.088 0.027 0.5

    Element: ZnO
    Units: %
    Sample I.D. Standard value Average value Std. dev % Relative
    S-A 0.26 0.263 0.002 0.8
    S-F 2.49 2.479 0.008 0.3

    Element: As₂O₅
    Units: %
    Sample I.D. Standard value Average value Std. dev % Relative
    S-A 0.26 0.269 0.002 0.7
    S-F 2.63 2.618 0.021 0.8

    Reliable measurement of Cu and Zn

    Past generations of analyzers used gas-filled proportional counter detectors, called prop counters. The prop counter detection system yields broad peaks, therefore Cu and Zn are measured as one peak, as shown in Spectrum 1 below. The single peak detected by a prop counter must be separated into Cu and Zn measurements using large mathematical overlap correction factors or sequential use of Ross filters that double the count time.

    EDXRF1225 Spectrum 1Spectrum 1. Typical prop counter ACZA spectrum, giving one single peak for Cu and Zn that must be heavily deconvoluted.


    The NEX QC solves this problem by using a rugged and reliable semiconductor detector that gives much sharper resolution of peaks. Spectrum shows the ACZA analysis using NEX QC, the measurement of the individual Cu and Zn is possible without the extra error introduced using large mathematical overlap corrections or the use of Ross filters.

    EDXRF1225 Spectrum 2Spectrum 2. Typical NEX QC ACZA spectrum, showing clear, distinct peaks for Cu, Zn, and As.


    Retention report

    To measure a wood sample, enter the density of the wood. The measurement calculates concentrations of CuO, ZnO, and As₂O₅ and also outputs balance and retention values.

    EDXRF1225 Retention Report

    Conclusion

    The typical results detailed here show exceptional performance for the fast and simple measurement of ACZA in wood and solution, without the need for large overlap corrections or Ross filters. The Rigaku NEX QC is an excellent tool throughout the QC process in producing treated lumber, giving the production process an affordable means of optimizing quality while minimizing costs and helping to minimize product rejection and waste.

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