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Developing a non-invasive tool to assess the impact of oxidation on the structural integrity of historic wool in Tudor tapestries

机译:开发一种非侵入性工具,以评估氧化对铎挂人历史羊毛结构完整性的影响

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摘要

Abstract Near infrared spectroscopy (NIR) can be a useful diagnostic tool in the assessment of quality in textile, agricultural and various other industries. In cultural heritage applications, NIR as a non-invasive assessment tool is advantageous for understanding the composition or degradation of fragile historic objects that cannot be sampled. The direct interpretation of measured NIR spectra is complicated by overlapping bands produced from overtone and combination bands of chemical bonds. However, in combination with multivariate partial least squares (PLS) models and principal component analysis, the physicochemical properties of historic materials can potentially be identified by calibrating against a measured component. In this research, wool fibres from a sacrificial collection of historic tapestry fragments housed at Hampton Court Palace were analysed. The cystine oxidation products of historic wools which can be related to the embrittlement of fibres and ultimately fibre loss, were recorded using Fourier transform infrared (FTIR) spectroscopy. A PLS predictive model was then developed using previously measured NIR spectra for the same historic tapestry fragments to predict the ratios of the cystine oxidation species in historic wools measured in this research. The prediction of a validation set of historic tapestry fragments with known oxidation product ratios was found to be accurate to root mean squared errors of prediction (RMSEP) of 0.11 for cysteic acid/cystine dioxide, 0.03 for an oxidation ratio of cysteic acid/cystine monoxide and 0.06 for cystine dioxide/cystine monoxide. The model was applied successfully to an independent set of historic tapestry fragments with unknown oxidation ratios with an M-distance pass limit of 3. The models were also applied to NIR measurements of historic tapestries on open display with limited success. Alternative methods to investigate and account for errors in this research are proposed. The potential for NIR to be used by conservators as a non-invasive tool for the assessment of textiles, complementing current condition audit practices in use at heritage institutions is also discussed.
机译:摘要近红外光谱(NIR)可以是纺织,农业和各种行业评估质量的有用诊断工具。在文化遗产应用中,作为非侵入性评估工具的NIR是有利于理解不能采样的脆弱历史物体的组成或降解。测量的NIR光谱的直接解释是通过从吞噬和化学键的组合带产生的重叠波段而复杂。然而,与多变量的局部最小二乘(PLS)模型和主成分分析结合,可以通过校准测量的组分来识别历史材料的物理化学特性。在这项研究中,分析了来自汉普顿宫宫殿的牺牲挂毯碎片的羊毛纤维。使用傅里叶变换红外(FTIR)光谱,记录历史型羊毛的历史氧化产品和最终纤维损失的曲线和最终纤维损失。然后使用先前测量的历史挂毯片段使用先前测量的NIR光谱来开发PLS预测模型,以预测该研究中测量的历史羊毛中的胱氨酸氧化物种的比率。发现具有已知氧化产品比的验证挂毯片段的验证组的预测是精确的预测(RMSEP)的均线平均误差为0.11,用于浑浊/胱氨酸二氧化物,0.03,用于浑浊酸/胱氨酸一氧化物的氧化率对于胱氨酸二氧化物/胱氨酸一氧化物0.06。该模型成功应用于独立的历史挂毯片段,具有未知的氧化比,M距离通过限制为3.模型也适用于历史挂毯的NIR测量,在开放式显示器上具有有限的成功。提出了调查和解释该研究误差的替代方法。还讨论了保守派作为非侵入性工具作为纺织品评估的非侵入性工具的潜力,还讨论了在遗产机构使用的当前条件审计做法。

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