新奇事件簿 數(shù)學(xué)家計(jì)算出最完美的咖啡

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Mathematicians are using their analytical skills to understand what makes the perfect cup of coffee. It might seem odd that a team of mathematicians is trying to establish what is behind the perfect cup of coffee until you realize that coffee consists of over 1,800 chemical components. If you combine these with the different ways of brewing coffee, it makes sense because there are a lot of numbers involved. Mathematicians from universities in Ireland and England used some complex calculations to determine how to make an ideal cuppa. Researchers Dr William Lee and Dr Kevin Moroney focused on what happens to coffee as it passes through a variety of filter coffee machines.

數(shù)學(xué)家們使用他們的分析技能解析了怎樣能制作出完美的咖啡。一些數(shù)學(xué)家竟然試圖弄明白完美的咖啡是什么樣的，這聽(tīng)上去有些奇怪，但是你要意識(shí)到咖啡由1800多種化學(xué)物質(zhì)組成就不會(huì)這樣認(rèn)為了。再結(jié)合不同的沖泡方法，這就說(shuō)的通了，因?yàn)槠渲猩婕暗臄?shù)字非常多。來(lái)自愛(ài)爾蘭和英格蘭大學(xué)的數(shù)學(xué)家們使用了一些復(fù)雜的計(jì)算方法來(lái)確定怎樣制作出理想的咖啡。研究人員William Lee和Kevin Moroney博士關(guān)注了咖啡經(jīng)過(guò)不同的過(guò)濾式咖啡機(jī)時(shí)會(huì)發(fā)生什么。

The scientists hope their research will change the way coffee machines are made. Dr Lee told the BBC News: "Our overall idea is to have a complete mathematical model of coffee brewing that you could use to design coffee machines, rather like we use a theory of fluid and solid mechanics to design racing cars." In the near future, coffee lovers might be able to adjust many of the variables that affect the taste of the coffee as it is filtered and brewed. These include how hot the water is, how fast the water flows, the size coffee beans are ground into, the length of time it is brewed, and more. The research is published in the journal of the Society for Industrial and Applied Mathematics.

科學(xué)家們希望他們的研究能夠改變咖啡機(jī)的生產(chǎn)方式。Lee博士告訴BBC新聞：“我們的總體思路是制作出沖泡咖啡的完整數(shù)學(xué)模型，可以供你們?cè)O(shè)計(jì)咖啡機(jī)，而不是像用液體和固體力學(xué)卻設(shè)計(jì)跑車(chē)那樣。”在不久的將來(lái)，咖啡愛(ài)好者或許能夠在過(guò)濾和沖泡過(guò)程中對(duì)不同的變量進(jìn)行調(diào)整，影響咖啡的口味。包括水的溫度，水流速度，咖啡豆的粉碎程度，沖泡的時(shí)間長(zhǎng)短以及更多因素。這項(xiàng)研究發(fā)表在工業(yè)和應(yīng)用數(shù)學(xué)學(xué)會(huì)期刊上。