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      Quantification by FT-IR (UATR/NIRA) of NBR/SBR blends

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          Abstract

          Abstract Rubber blends are important materials in automotive industry, as well as in other sectors. However, there are implications when suitable use of a polymer in an artifact is not made. In the automotive area, for example, the use of an elastomer without the fuel resistance requirement would result in component degradation, potential fuel leakage, and danger of fire. The use of polymer blends may be the solution to this problem. Fourier transform infrared spectroscopy (FT-IR) can be used for the knowledge of the polymer content of these blends. Then, FT-IR quantitative methodologies for determining acrylonitrile-butadiene copolymer (NBR) copolymer and butadiene-styrene copolymer (SBR) contents were developed by the transflectance accessory, NIRA, and the transmission mode, being the sample analyzed by transmission and universal attenuated total reflection (UATR) in the medium infrared (MIR). UATR and NIRA methodologies showed better accuracy. However, the MIR analysis showed a detection limit between 10-20% of NBR.

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          Pyrolysis-FTIR and TGA techniques as tools in the characterization of blends of natural rubber and SBR

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            Quantitative analysis of unknown compositions in ternary polymer blends: A model study on NR/SBR/BR system

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              UATR and NIRA evaluation in the quantification of ATBC in NC blends

              Abstract The paint industry requires rapid and accurate methodologies of raw materials qualitiy controls. For example, the evaluation of the suitable ratio of binary mixtures of polymer/plasticizer such as nitrocellulose (NC)/acetyl tributyl citrate (ATBC) must be done, since this ratio is directly related to the performance of the final product. However, there is a small number of quantitative methodologies of such control in the literature. In this context, in this paper, the applicability of Infrared Fourier Transform Spectroscopy (FT-IR) techniques by using universal total attenuated reflection (UATR), in the middle infrared (MIR), and the reflectance analysis in the near infrared region (NIRA) is evaluated for the quantification of plasticizer ATBC in mixtures with NC. MIR and NIR methodologies presented good results such as: practicality of not requiring refined sample preparation, analysis time about 30 min and good accuracy, suitable data for using in the quality control laboratories of paint industry.
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                Author and article information

                Contributors
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Journal
                po
                Polímeros
                Polímeros
                Associação Brasileira de Polímeros (São Carlos, SP, Brazil )
                0104-1428
                1678-5169
                November 2018
                : 28
                : 5
                : 440-449
                Affiliations
                [01] São José dos Campos São Paulo orgnameInstituto Tecnológico de Aeronáutica Brazil
                [02] Cotia SP orgnameTenneco Automotive Brasil Brasil
                [04] São José dos Campos SP orgnameInstituto de Aeronáutica e Espaço orgdiv1Divisão de Química Brasil
                [05] Santo André SP orgnamePetroquímica Braskem Brasil
                [03] Caetano do Sul SP orgnameGeneral Motors do Brasil Brasil
                Article
                S0104-14282018000500440
                10.1590/0104-1428.00918
                17187d08-f28c-43e3-81d4-2f35f4c363de

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 01 February 2018
                : 20 June 2018
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 32, Pages: 10
                Product

                SciELO Brazil

                Categories
                Original Article

                UATR,SBR,content,NIRA,NBR
                UATR, SBR, content, NIRA, NBR

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