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      Assessing Binary Mixture Effects from Genotoxic and Endocrine Disrupting Environmental Contaminants Using Infrared Spectroscopy

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          Abstract

          Benzo[ a]pyrene (B[ a]P), polychlorinated biphenyls (PCBs), and polybrominated diphenyl ethers (PBDEs) are persistent contaminants and concern has arisen over co-exposure of organisms when the chemicals exist in mixtures. Herein, attenuated total reflection Fourier transform infrared spectroscopy was used to identify biochemical alterations induced in cells by single and binary mixtures of these environmental chemicals. It was also investigated as a method to identify if interactions are occurring in mixtures and as a possible tool to predict mixture effects. Mallard fibroblasts were treated with single and binary mixtures of B[ a]P, PCB126, PCB153, BDE47, and BDE209. Comparison of observed spectra from cells treated with binary mixtures with expected additive spectra, which were created from individual exposure spectra, indicated that in many areas of the spectrum, less-than-additive binary mixture effects may occur. However, possible greater-than-additive alterations were identified in the 1650–1750 cm –1 lipid region and may demonstrate a common mechanism of B[ a]P and PCBs or PBDEs, which can enhance toxicity in mixtures.

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          Using Fourier transform IR spectroscopy to analyze biological materials.

          IR spectroscopy is an excellent method for biological analyses. It enables the nonperturbative, label-free extraction of biochemical information and images toward diagnosis and the assessment of cell functionality. Although not strictly microscopy in the conventional sense, it allows the construction of images of tissue or cell architecture by the passing of spectral data through a variety of computational algorithms. Because such images are constructed from fingerprint spectra, the notion is that they can be an objective reflection of the underlying health status of the analyzed sample. One of the major difficulties in the field has been determining a consensus on spectral pre-processing and data analysis. This manuscript brings together as coauthors some of the leaders in this field to allow the standardization of methods and procedures for adapting a multistage approach to a methodology that can be applied to a variety of cell biological questions or used within a clinical setting for disease screening or diagnosis. We describe a protocol for collecting IR spectra and images from biological samples (e.g., fixed cytology and tissue sections, live cells or biofluids) that assesses the instrumental options available, appropriate sample preparation, different sampling modes as well as important advances in spectral data acquisition. After acquisition, data processing consists of a sequence of steps including quality control, spectral pre-processing, feature extraction and classification of the supervised or unsupervised type. A typical experiment can be completed and analyzed within hours. Example results are presented on the use of IR spectra combined with multivariate data processing.
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            Fourier Transform Infrared (FTIR) Spectroscopy of Biological Tissues

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              The Ames Salmonella/microsome mutagenicity assay

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                Author and article information

                Journal
                ACS Omega
                ACS Omega
                ao
                acsodf
                ACS Omega
                American Chemical Society
                2470-1343
                17 October 2018
                31 October 2018
                : 3
                : 10
                : 13399-13412
                Affiliations
                []School of Pharmacy and Biomedical Sciences, University of Central Lancashire (UCLan) , Preston PR1 2HE, U.K.
                []Centre of Ecology & Hydrology, Lancaster Environment Centre , Lancaster LA1 4AP, U.K.
                Author notes
                Article
                10.1021/acsomega.8b01916
                6217637
                7bc1adbd-d8f7-4d70-9fe1-3569cb303c89
                Copyright © 2018 American Chemical Society

                This is an open access article published under an ACS AuthorChoice License, which permits copying and redistribution of the article or any adaptations for non-commercial purposes.

                History
                : 06 August 2018
                : 04 October 2018
                Categories
                Article
                Custom metadata
                ao8b01916
                ao-2018-01916c

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