uma nova técnica a³ptica não destrutiva ira¡ desbloquear ainda mais conhecimento sobre o na¡car e, no processo, pode levar a uma nova compreensão da história do clima.
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)
Domanio paºblico
A maioria das pessoas conhece a madrepanãrola, um biomineral iridescente também chamado de na¡car, a partir de botaµes, joias, incrustações de instrumentos e outros enfeites decorativos. Os cientistas também admiraram e se maravilharam com o na¡car por décadas, não apenas por sua beleza e propriedades a³pticas, mas por sua resistência excepcional.
"a‰ um dos biominerais naturais mais estudados", disse Pupa Gilbert, professor de física da Universidade de Wisconsin-Madison que estudou na¡car por mais de uma década. "Pode não parecer muito - apenas um material brilhante e decorativo. Mas pode ser 3.000 vezes mais resistente a fratura do que a aragonita, o mineral de que éfeito. Isso despertou o interesse de cientistas de materiais porque fazer materiais melhores do que a soma de suas partes éextremamente atraente. "
Agora, uma nova técnica a³ptica não destrutiva ira¡ desbloquear ainda mais conhecimento sobre o na¡car e, no processo, pode levar a uma nova compreensão da história do clima. Gilbert, professor de engenharia elanãtrica da UW-Madison, Mikhail Kats, seus alunos e colaboradores descreveram a técnica, chamada de tomografia de interferaªncia hiperespectral, hoje na revista Proceedings of the National Academy of Sciences.
Gilbert aprendeu como o na¡car se forma, ordena, resiste a fratura e como sua estrutura em camadas registra a temperatura na qual se formou. Esta estrutura em camadas de na¡car reflete a luz e gera cores diferentes dependendo da espessura da camada. Isso levou ao interesse em encontrar uma maneira de avaliar a espessura das camadas do na¡car que não envolvesse a destruição da concha do molusco na qual ele estãodepositado.
Para ajudar a enfrentar esse desafio, Gilbert recorreu a Kats e ao estudante de graduação Jad Salman, que são especialistas em estudar fena´menos a³pticos.
Para o projeto, Salman preparou 22 conchas de abalone vermelhas frescas para análise a³ptica. Mas obter espectros a³pticos de na¡car émais difacil do que pode parecer.
"Se vocêquiser sondar esse tipo de concha, que tem uma topografia curva, émuito difacil obter um bom espectro com um espectra´metro convencional", diz Salman.
a‰ por isso que a equipe recorreu a uma tecnologia mais recente, a fotografia hiperespectral, para obter imagens de todo o espectro da concha. No inacio, eles fotografaram as conchas no parceiro da indústria Middleton Spectral Vision antes de adquirir sua própria ca¢mera hiperespectral.
“a‰ um espectra´metro de imagem em que cada pixel da imagem oferece um espectro completoâ€, diz Salman. "Quando usamos a ca¢mera em nossa configuração, podemos facilmente extrair dados espectrais confia¡veis ​​sobre asuperfÍcie grande e irregular de uma concha em uma única foto."
Além do abalone vermelho, a equipe também fez imagens do na¡car de outra espanãcie, a concha de paua da Nova Zela¢ndia, também chamada de abalone do arco-aris. Salman então usou um software de modelagem sofisticado que ele desenvolveu para determinar a espessura das camadas de na¡car pixel a pixel usando os dados hiperespectrais.
A equipe estãochamando a combinação de técnicas de tomografia de interferaªncia hiperespectral e prevaª que seráaplica¡vel para medir outras estruturas transparentes em camadas encontradas em plantas, animais, amostras geola³gicas ou materiais sintanãticos.
Para Gilbert, a nova técnica revelou uma surpresa sobre o abalone vermelho; mostrou pela primeira vez que a espessura das camadas de na¡car diminui a medida que o molusco envelhece. Como essa espessura registra a temperatura da águado mar na qual se forma, a equipe acredita que pode ser possível usar a técnica para analisar conchas de moluscos fa³sseis para aprender sobre climas anteriores.
“Este projeto éfeito de algumas partes diferentes, cada uma delas um tanto bem compreendidaâ€, diz Kats. "O poder desta pesquisa éque trouxemos todo esse conhecimento experimental e tea³rico e fomos capazes de modelar não apenas estruturas em camadas bem comportadas e projetadas, mas também estruturas biológicas desordenadas e confusas. E fomos capazes de obter informações aºteis a partir de de uma forma que um bia³logo ou paleoclimatologista pode usar. "