| We have investigated the use of least squares regression on both raw and second derivative data to develop correlations between mid-infrared Attenuated Total Reflectance spectra and chlorination levels in wool samples. The variability in the results of the multi-step chlorination process commonly used in industry coupled with the formation of a number of reaction products makes the spectra obtained from the treated samples quite complex. Second derivative spectra were required to resolve the two major products, cysteic acid and Bunte salt, before a reasonable calibration could be obtained. The second derivative calibration was used to predict chlorination levels of samples obtained from several commercial mills. By comparison of these results to those obtained using a standard staining test the infrared predictions were found, in general, to be considerably high. It also appears that there could be problems predicting samples with very high levels of anti-chlorination treatment. [View the Article] |
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