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Evaluating Applications of Field Spectroscopy Devices to Fingerprint Commonly Used Construction Materials (2013)

Chapter: Appendix N - Quantitative Analysis of ATR FTIR Spectra

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Suggested Citation:"Appendix N - Quantitative Analysis of ATR FTIR Spectra." National Academies of Sciences, Engineering, and Medicine. 2013. Evaluating Applications of Field Spectroscopy Devices to Fingerprint Commonly Used Construction Materials. Washington, DC: The National Academies Press. doi: 10.17226/22770.
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Suggested Citation:"Appendix N - Quantitative Analysis of ATR FTIR Spectra." National Academies of Sciences, Engineering, and Medicine. 2013. Evaluating Applications of Field Spectroscopy Devices to Fingerprint Commonly Used Construction Materials. Washington, DC: The National Academies Press. doi: 10.17226/22770.
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Suggested Citation:"Appendix N - Quantitative Analysis of ATR FTIR Spectra." National Academies of Sciences, Engineering, and Medicine. 2013. Evaluating Applications of Field Spectroscopy Devices to Fingerprint Commonly Used Construction Materials. Washington, DC: The National Academies Press. doi: 10.17226/22770.
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Page 208

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206 A p p e n d i x n peak-to-peak Ratio Quantification of SBS in Polymer-Modified Asphalt Binders Three replicate binder–styrene–butadiene–styrene (SBS) mixtures for each of the SBS concentrations (1%, 3%, and 6%) were prepared over 2 months and scanned by the Bruker attenuated total reflectance (ATR) Fourier transform infrared (FTIR) spectrometer. The calibration equation for the quan- tification of SBS content in asphalt binder was developed based on the peak-to-peak ratio approach. Such an approach considered individual ratios of an absorption peak at either 966 cm-1 (A966) or at 700 cm-1 (A700) to the major peaks for which absorbance value did not change (e.g., A2920, A2850, A1460, and A1380 cm-1). The A966 and A700 absorption val- ues are respectively associated with polybutadiene and poly- styrene. Because the ratio apparently changed with increasing SBS content, it was possible to choose the best suited ratio value based either on 966 cm-1 or 700 cm-1. To achieve the best fit, the individual ratios of the two SBS-associated peaks were regressed on SBS content as in the example below: A A N966 2920 10 1= + +b b C e ( . ) where b0, b1 = regression coefficients, C = polymer content, and e = error. In the first stage of the regression analysis, it was found that higher than 3 wt% polymer modification of binder resulted in significant deviation from linear trend expected by the Beer-Lambert law, as shown in Figure N.1. In addition, the variability in ATR measurements increased dramatically with change in SBS concentration from 3 wt% to 6 wt%. Therefore, 6 wt% SBS-modified samples were excluded from the analy- sis. When zero to 3 wt% modification was considered and outliers were removed from the data set, a similarly high goodness of fit was respectively achieved for both polystyrene and polybutadiene by using peak ratios A700/A2920 and A966/A2920 as predictors for polymer content C. Figure N.2 shows calibration trends along with trendline equations, goodness of fit (R2), and standard error (SE). Based on the R2 values, it is suggested that the peak-to-peak ratio is a viable approach to quantification of styrene– butadiene polymers in asphalt binders. The main reason for variability in the ATR measurements is assumed to be non- uniformity of polymer-modified binder samples because of the differences in mixing procedures between replicate batches (e.g., time and temperature). Valley-to-Valley Band integration and normalization Oxidation of Polymer-Modified Binders and RAP To quantify oxidation-related changes in the infrared (IR) absorption, band areas were computed using the following systematic procedure: • Step 1. Collect the spectra as absorbance values (A) versus wave number (v˜). An absorbance value at each wavelength is calculated by dividing the measured absorbance value by the wavelength. • Step 2. Apply atmospheric and water compensation and rubber-band baseline correction using default Bruker OPUS 6.5 software settings. The software calculates base- line as a frequency polygon, consisting of 64 baseline points. The “rubber band” is stretched between the spectrum end points, as it follows the spectrum minima (Figure N.3). • Step 3. Smooth the spectrum line using the Savitzky-Golay algorithm (using a 10-point averaging interval and a third- order polynomial). Quantitative Analysis of ATR FTIR Spectra

207 Figure N.1. Regression plots for peak ratios with all samples included. Figure N.2. Calibration equations for SBS concentration based on peak-to-peak ratios. Figure N.3. Illustration of the rubber-band baseline correction.

208 • Step 4. Extract absorption peaks using a second-derivative approach. • Step 5. Assign the extracted peaks to chemical functional- ities in the bitumen sample (Figure N.4). • Step 6. Compute band areas (ARv˜) using valley-to-valley integration (Figure N.4). The above procedure was automated using computational code developed in MATLAB 7.6.0 environment. The ARv˜ values were normalized to the total sum of all band areas (SARv˜), and the indices24 for the aromatic, oxygen- containing, and polymer-related absorption bands were com- puted as follows: • Aromaticity Index IAR = AR1600/SARv˜ • Carbonyl Index ICO = AR1700/SARv˜ • Sulfoxide Index ISO = AR1030/SARv˜ • Hydroxyl Index IOH = AR3400–3100/SARv˜ Figure N.4. Identification of bitumen components on FTIR spectrum in (a) region between 3,800 and 2,600 cm1 and (b) fingerprinting region between 1,800 and 600 cm1. (a) (b) • Polybutadiene Index IPB = AR968/SARv˜ • Polystyrene Index IPS = AR700/SARv˜ The changes in the above indices over the aging cycle served as indicators of the oxidation rate and polymer degra- dation, as discussed in the following text. The change in polybutadiene and polystyrene index values served as an indicator of the change in polymer content dur- ing accelerated aging by rolling thin-film oven and pressure aging vessel procedures. No statistically significant changes in polymer-related indices (IPS and IPB for polystyrene and poly- butadiene content, respectively) throughout the aging cycle were found in this study (see Figure N.5). Note that the poly- mer content ranged between zero and 3.3 wt%. Such an out- come appears to be in line with the previous studies that reported swelling or degradation of SB-based polymers at concentrations higher than 4 wt%. Figure N.5. Comparison of IPB and IPS between aged binders modified with 3 wt% of SB polymers.

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TRB’s second Strategic Highway Research Program (SHRP 2) Report S2-R06B-RW-1: Evaluating Applications of Field Spectroscopy Devices to Fingerprint Commonly Used Construction Materials documents evaluation results of practical, portable spectroscopic equipment for in-situ analysis of a wide range of commonly used construction materials.

The report also includes proposed American Association of State Highway and Transportation Officials (AASHTO) standards of practice for the analysis of titanium content in traffic paints by X-ray fluorescence and identification of chemical admixtures by attenuated total reflectance.

An e-book version of this report is available for purchase at Amazon, Google, and iTunes.

The results of Renewal Project R06B, which produced SHRP 2 Report S2-R06B-RW-1, were incorporated into an electronic repository for practitioners, known as the NDToolbox, which provides information regarding recommended technologies for the detection of a particular deterioration. The NDToolbox was created by SHRP 2 Renewal Project R06A, which has released SHRP 2 Report S2-R06A-RR-1: Nondestructive Testing to Identify Concrete Bridge Deck Deterioration that identifies nondestructive testing technologies for detecting and characterizing common forms of deterioration in concrete bridge decks.

Renewal Project R06B is one of seven follow-on projects to SHRP Renewal Project R06 that produced SHRP 2 Report S2-R06-RW: A Plan for Developing High-Speed, Nondestructive Testing Procedures for Both Design Evaluation and Construction Inspection, which examines existing and emerging nondestructive evaluation (NDE) technologies and their current state of implementation to satisfy the NDE needs for highway renewal.

In conjunction with SHRP 2 Renewal Project R06B, a library of reference spectra for pure materials was created that may be used to help identify materials in the field. Due to the size of the files, the spectral library is available for download in two parts (Part 1 and Part 2) in ZIP format. The database consists of a series of files with fingerprinting number values and keys to the material labels. It supplements the suggest standards developed under this project and can be used by quality assurance/quality control specialists.

Spectral Library Disclaimer: These materials are offered as is, without warranty or promise of support of any kind, either expressed or implied. Under no circumstance will the National Academy of Sciences or the Transportation Research Board (collectively “TRB”) be liable for any loss or damage caused by the installation or operation of these materials. TRB makes no representation or warranty of any kind, expressed or implied, in fact or in law, including without limitation, the warranty of merchantability or the warranty of fitness for a particular purpose, and shall not in any case be liable for any consequential or special damages.

The R06B Project produced a pilot to document its preliminary implementation activities.

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