A fibra a³ptica autolimpante pode ajudar no monitoramento do ambiente e no diagnóstico do ca¢ncer
Essa nova fibra a³ptica com feixe autolimpante pode ajudar no desenvolvimento de aplicações para, por exemplo, marcaça£o de poluentes, diagnóstico de ca¢ncer, monitoramento ambiental e controle de alimentos.
![](data:image/jpeg;base64,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)
A utilização de dois vidros com andice de refração diferente e empilhados com um arranjo especafico permitiu aos pesquisadores desenvolver pela primeira vez uma fibra multimodal com andice de refração paraba³lico com transmissão atéo infravermelho manãdio e alta não linearidade. O espectro de pulsos curtos de luz injetados na fibra se amplia massivamente para abranger do visível ao infravermelho manãdio. Significativamente, ao contra¡rio das fibras multimodo convencionais, o feixe de luz permanece suave como resultado da dina¢mica de autolimpeza induzida pelo andice de refração paraba³lico. Essa fonte de luz com espectro ultra-amplo, feixe suave e alta potaªncia encontra aplicações em, por exemplo, sensoriamento ambiental ou imagem de alta resolução para diagnósticos médicos. Crédito: Universidade de Tampere
Pesquisadores da Universidade de Tampere desenvolveram com sucesso um novo design de fibra a³ptica que permite a geração de luz laser de arco-aris na regia£o eletromagnanãtica da impressão digital molecular. Essa nova fibra a³ptica com feixe autolimpante pode ajudar no desenvolvimento de aplicações para, por exemplo, marcação de poluentes, diagnóstico de ca¢ncer, monitoramento ambiental e controle de alimentos. A descoberta foi publicada na revista Nature Communications .
Quando um pulso de luz ultracurto de alta potaªncia interage com um material como uma fibra a³ptica de vidro , ocorre uma sanãrie de interações altamente não lineares que causammudanças complexas nas propriedades temporais e espectrais da luz injetada. Quando levadas ao extremo, tais interações podem levar a geração de um laser de arco-aris de luz comumente referido como uma fonte de luz supercontanua. Desde sua primeira demonstração em um tipo especial de fibra a³ptica em 2000, a luz laser supercontanua revolucionou muitas áreas da ciaªncia, desde a metrologia e imagens em resolução sem precedentes atéo sensoriamento remoto de banda ultralarga e atéa detecção de exoplanetas.
O gargalo atual com fontes supercontanuas atuais, no entanto, éque elas são baseadas em fibras a³pticas que suportam um aºnico perfil ou modo de intensidade transversal, o que limita inerentemente sua potaªncia a³ptica. Além disso, as fibras a³pticas convencionais são feitas de vidro de salica com transmissão limitada a regia£o do espectro visível e infravermelho pra³ximo. A extensão da luz supercontanua para outros regimes de comprimento de onda, como o infravermelho manãdio, requer fibras a³pticas feitas dos chamados vidros macios, mas estes possuem um limiar de dano menor do que a salica, limitando ainda mais a potaªncia do feixe supercontanuo.
Fibra a³ptica sem salica com feixe autolimpante
Recentemente, um tipo diferente de fibra a³ptica com um andice de refração que varia continuamente ao longo da estrutura da fibra mostrou um aumento drama¡tico na potaªncia supercontanua, enquanto ainda preserva um perfil de intensidade de feixe suave. "A variação do andice de refração dessas fibras a³pticas de andice graduado leva ao foco e desfocagem peria³dicos da luz dentro da fibra que permite o acoplamento entre interações luz-matéria não lineares espaciais e temporais. Isso leva a um mecanismo de autolimpeza que produz luz supercontanua com alta potaªncia e um perfil de feixe limpo. Além de suas muitas aplicações, eles também fornecem um meio de estudar os efeitos fundamentais da física, como a turbulaªncia das ondas", diz o professor Goa«ry Genty, lider do grupo de pesquisa da Universidade de Tampere.
Embora essas fibras tenham atraado recentemente uma atenção significativa da comunidade de pesquisa, seu uso tem sido, atéagora, restrito ao visível e ao infravermelho pra³ximo. Em colaboração com o grupo dos Profs. Buczynski e Klimczak na Universidade de Varsãovia (Pola´nia) e o grupo do Prof. Dudley na Universidade da Borgonha Frana§a-Comté(Frana§a), a equipe de Tampere demonstrou pela primeira vez a geração de um supercontanuo de duas oitavas do visível ao infravermelho manãdio em uma fibra de andice graduado sem salica com um feixe autolimpante.
"Este problema agora foi resolvido usando um projeto particular que utiliza dois tipos de hastes de vidro de chumbo-bismuto-galato com diferentes andices de refração desenhados para produzir um núcleo nanoestruturado. O resultado éuma fibra de andice graduado com um perfil de andice de refração paraba³lico efetivo com transmissão atéo infravermelho manãdio e, como cereja no topo do bolo, interações não lineares luz-matéria aprimoradas", diz a pesquisadora Zahra Eslami.
Grande potencial em diagnóstico e monitoramento
O infravermelho manãdio éde interesse crucial, pois contanãm as transições vibracionais caracteristicas de muitas moléculas importantes.
"A nova solução levara¡ a fontes de luz supercontanuas mais eficientes no infravermelho manãdio com muitas aplicações potenciais, por exemplo, para marcação de poluentes, diagnóstico de ca¢ncer, visão de ma¡quina, monitoramento ambiental, qualidade e controle de alimentos", explica Genty.
Os pesquisadores antecipam que este novo tipo de fibra muito em breve se tornara¡ um material importante e padrãopara a geração de fontes de banda larga e pentes de frequência.