Yogurtcu Burak, Cebi Nur, Koçer Anıl Tevfik, Erarslan Azime
Department of Conservation and Restoration of Artworks, Faculty of Fine Arts, Mimar Sinan Fine Arts University, 34427 Istanbul, Turkey.
Food Engineering Department, Chemical-Metallurgical Faculty, Yıldız Technical University, 34210 Istanbul, Turkey.
Molecules. 2024 Nov 12;29(22):5324. doi: 10.3390/molecules29225324.
Today, there is an increasing concern and effort for protection, conservation, and restoration of cultural heritage materials. Non-invasive analytical methodologies such as Raman spectroscopy offers various advantages such as high speed, robust identification, low cost, and in-site analysis. Previous contributions highlighted the potential of Raman spectroscopy combined with multivariate statistics for identification and quality evaluation of cultural heritage materials such as paints, fiber, dyes, woods, stones, inks, and textile materials. Especially, application of chemometrics and multivariate statistics algorithms opens new horizons for scientists and inspectors. In conclusion, the paper provided an overview of the state-of-the-art uses of multivariate statistically equipped Raman spectroscopy methods for evaluation of cultural heritage and art materials with illustrations from previous research studies.
如今，人们对文化遗产材料的保护、保存和修复越来越关注，并付出了更多努力。拉曼光谱等非侵入性分析方法具有多种优势，如速度快、识别可靠、成本低以及可现场分析。先前的研究强调了拉曼光谱与多元统计相结合在鉴定和评估文化遗产材料（如颜料、纤维、染料、木材、石头、墨水和纺织材料）质量方面的潜力。特别是，化学计量学和多元统计算法的应用为科学家和检查人员开辟了新的视野。总之，本文结合先前研究的实例，概述了配备多元统计的拉曼光谱方法在评估文化遗产和艺术材料方面的最新应用。
