Em um novo artigo publicado hoje na revista Nature Communications , a equipe de pesquisa descreve como o roba´ realizou centenas de experimentos em seis lotes de testes realizados em períodos de quatro semanas.
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)
Uma 'ma¡quina evolutiva' roba³tica capaz de explorar o desenvolvimento geracional de misturas químicas durante longos períodos de tempo poderia ajudar a lana§ar uma nova luz sobre as origens da vida, dizem os cientistas.
Uma equipe de químicos da Universidade de Glasgow desenvolveu o roba´ , que usa um algoritmo de aprendizado de ma¡quina para tomar decisaµes sobre quais produtos químicos de uma seleção de 18 combinar em um reator e como definir as condições sob as quais a reação ocorre. O roba´ écapaz de realizar os experimentos por conta própria, com supervisão humana manima.
O processo visa fornecer uma nova visão sobre como a complexa vida orga¢nica da Terra se desenvolveu a partir de suas origens químicas simples e não vivas , permitindo que a ma¡quina execute experimentos ao longo de várias semanas.
Medir o andice de massa do produto de cada experimento ensina ao roba´ algo novo sobre a complexidade da molanãcula produzida por cada reação. Essa informação ajuda a aprender como variar o experimento para criar uma molanãcula mais complexa em reações subsequentes - uma versão digital , espera a equipe, da seleção natural para a complexidade que deu origem a vida orga¢nica.
Em um novo artigo publicado hoje na revista Nature Communications , a equipe de pesquisa descreve como o roba´ realizou centenas de experimentos em seis lotes de testes realizados em períodos de quatro semanas.
Ao longo desse tempo, a equipe descobriu não apenas que moléculas complexas foram criadas, mas também descobriram que algumas dessas novas moléculas persistiam por muitos ciclos, apesar da diluição. Isso indica que outros processos, como cata¡lise e replicação, podem estar ocorrendo.
O sistema se baseia em pesquisas anteriores lideradas pelo professor de química da Universidade Regius, Lee Cronin. Pesquisadores de seu Grupo Cronin desenvolveram o roba´ quamico capaz de realizar reações químicas autonomamente e lançaram um "Spotify para química" para permitir que os pesquisadores baixem fa³rmulas químicas para usar em seus pra³prios robôs quamicos.
Eles também publicaram recentemente um artigo sobre a Teoria da Montagem, uma fa³rmula que desenvolveram que quantifica a complexidade das moléculas e pode ser usada para identificar os sinais reveladores dos blocos de construção químicos da vida.
O professor Cronin disse: "O trabalho que temos feito na última década ou mais tem levado a isso de muitas maneiras. Nosso roba´ quamico realmente expandiu os horizontes do que épossível no laboratório, automatizando tarefas ba¡sicas e permitindo-as para ser feito repetidamente ao longo de longos períodos de tempo.
"Poucos experimentos químicos duram mais do que alguns dias, mas o desenvolvimento natural dos sistemas quamico-biola³gicos ocorreu ao longo de milhões de anos. Permitindo que o roba´ realizasse dezenas de experimentos recursivos ao longo de semanas, e depois, eventualmente, em meses e atéanos. abre novas oportunidades para aprender como a complexidade química começou no inicio da vida.
"Amedida que os robôs químicos se tornam mais comuns em laboratórios ao redor do mundo e a democratização digital da química se torna mais difundida, esperamos que outros pesquisadores embarquem e usem a plataforma que desenvolvemos para fazer suas próprias contribuições."
O artigo da equipe, intitulado "Um quamico prebia³tico roba³tico sondas reações de longo prazo de misturas complexificantes", foi publicado na Nature Communications .