Page 55 - Demo

Bilimsel / ScientificTURKCOAT Aral%u0131k / December - Ocak / January 2026 53Sokak sanat%u0131 bir%u00e7ok farkl%u0131 bi%u00e7imde kar%u015f%u0131m%u0131za %u00e7%u0131kar ve Berlin Duvar%u0131%u2019n%u0131n hem y%u0131k%u0131lmadan %u00f6nce hem de y%u0131k%u0131ld%u0131ktan sonraki d%u00f6nemlerdeki canl%u0131 duvar resimleri, insanlar%u0131n g%u00f6r%u00fc%u015flerinin birer ifadesidir. Ancak bu resimlerin nas%u0131l yap%u0131ld%u0131%u011f%u0131na dair s%u00fcre%u00e7ler %u00e7o%u011fu zaman gizli tutuldu%u011fundan, korunmalar%u0131 zorla%u015fmaktad%u0131r. Journal of the American Chemical Society dergisinde rapor edilen bir %u00e7al%u0131%u015fmada ara%u015ft%u0131rmac%u0131lar, elde ta%u015f%u0131nabilir bir dedekt%u00f6r ve yapay zeka (AI) tabanl%u0131 veri analizi y%u00f6ntemlerini birle%u015ftirerek boya par%u00e7ac%u0131klar%u0131 %u00fczerinden bu tarihi yap%u0131ya dair yeni bilgiler ortaya %u00e7%u0131kard%u0131.%u00c7al%u0131%u015fman%u0131n ortak yazarlar%u0131ndan Francesco Armetta,%u201cBu ara%u015ft%u0131rma, kimya ile derin %u00f6%u011frenme aras%u0131ndaki sinerjinin maddeyi nicel olarak anlamadaki g%u00fc%u00e7l%u00fc etkisini ortaya koyuyor; bu durum, sokak sanat%u0131n%u0131 bu kadar etkileyici k%u0131lan pigmentler %u00f6rne%u011finde a%u00e7%u0131k%u00e7a g%u00f6r%u00fcl%u00fcyor%u201d diyor.Bir sanat eserini restore etmek ya da korumak i%u00e7in kullan%u0131lan malzemeler ve uygulama teknikleri hakk%u0131nda bilgi toplamak b%u00fcy%u00fck %u00f6nem ta%u015f%u0131yor. Ancak Berlin Duvar%u0131%u2019n%u0131 boyayan sanat%u00e7%u0131lar bu s%u00fcreci belgelemedi.Di%u011fer tarih%u00ee eserler %u00fczerine yap%u0131lan %u00f6nceki %u00e7al%u0131%u015fmalarda bilim insanlar%u0131, par%u00e7alar%u0131 ya da hatta t%u00fcm nesneleri laboratuvara g%u00f6t%u00fcrerek, %u00f6rneklere zarar vermeden Raman spektroskopisi ad%u0131 verilen bir teknikle %u00fczerlerindeki pigmentleri tan%u0131mlam%u0131%u015ft%u0131. Her ne kadar sahada kullan%u0131labilen elde ta%u015f%u0131n%u0131r Raman cihazlar%u0131 mevcut olsa da, bunlar tam donan%u0131ml%u0131 laboratuvar ekipmanlar%u0131 kadar hassas de%u011fil. Bu nedenle Armetta, Rosina Celeste Ponterio ve %u00e7al%u0131%u015fma arkada%u015flar%u0131, ta%u015f%u0131nabilir Raman cihazlar%u0131ndan elde edilen verileri daha do%u011fru bi%u00e7imde analiz edebilecek bir YZ algoritmas%u0131 geli%u015ftirmeyi hedefledi. Yeni yakla%u015f%u0131m%u0131n ilk testinde, Berlin Duvar%u0131%u2019ndan al%u0131nan 15 boya par%u00e7as%u0131 analiz edildi.Ara%u015ft%u0131rmac%u0131lar ilk olarak boya par%u00e7ac%u0131klar%u0131n%u0131 b%u00fcy%u00fcterek inceledi ve hepsinde g%u00f6r%u00fcn%u00fcr f%u0131r%u00e7a izleriyle birlikte iki ya da %u00fc%u00e7 kat boya bulundu%u011funu g%u00f6zlemledi. Duvar %u00f6rg%u00fcs%u00fcyle temas eden %u00fc%u00e7%u00fcnc%u00fc katman%u0131n beyaz oldu%u011fu g%u00f6r%u00fcld%u00fc; bunun, duvar%u0131 boyamaya haz%u0131rlamak i%u00e7in kullan%u0131lan bir astar katman%u0131ndan kaynakland%u0131%u011f%u0131 d%u00fcStreet art takes many forms, and the vibrant murals on the Berlin Wall both before and after its fall are expressions of people%u2019s opinions. But there was often secrecy around the processes for creating the paintings, which makes them hard to preserve. Now, researchers reporting in the Journal of the American Chemical Society have uncovered information about this historic site from paint chips by combining a handheld detector and artificial intelligence (AI) data analysis.%u201cThe research highlights the powerful impact of the synergy between chemistry and deep learning in quantifying matter, exemplified in this case by pigments that make street art so captivating,%u201d says Francesco Armetta, a co-author of the study.To restore or conserve art, it%u2019s important to collect information on the materials and application techniques. But the painters of the Berlin Wall didn%u2019t document this. In previous studies of other historic artifacts, scientists brought fragments or even whole objects into the lab and, without destroying the samples, identified pigments on them using a technique known as Raman spectroscopy. Although handheld Raman devices are available for on-site investigations, they lack the precision of full-sized laboratory equipment. So, Armetta, Rosina Celeste Ponterio and colleagues wanted to develop an AI algorithm that could analyze the output of portable Raman devices to more accurately identify pigments and dyes. In an initial test of the new approach, they analyzed 15 paint chips from the Berlin Wall.The researchers first magnified the chips and observed that they all had two or three layers of paint with visible brush strokes. The third layer in contact with the masonry appeared white, which they suggest is from a base coat used to prepare the wall for painting. Next, the researchers used a handheld Raman spectrometer to analyze the chips and compared them to spectra collected from a commercial pigment spectra library. They identified the primary pigments in the samples as: azopigments (yellow- and red-colored Berlin Duvar%u0131nda Yer Alan Resimlerinin Ard%u0131ndaki Pigmentler ve Boyama TeknikleriUncovering the Pigments and Techniques Used to Paint the Berlin Wall