比率光束分光光度計(jì) U-5100
采用了閃爍氙燈光源
通過(guò)采用長(zhǎng)壽命的閃爍氙燈光源,光源使用壽命很長(zhǎng),不再需要頻繁的換燈。*1.
節(jié)能設(shè)計(jì)
通過(guò)控制閃爍氙燈地脈沖發(fā)光,對(duì)比先前型號(hào)能量節(jié)約達(dá)70%。
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)
減少測(cè)量耗時(shí)
在6個(gè)比色池間自動(dòng)切換和快速光柵驅(qū)動(dòng)(12,000 nm/min.),帶來(lái)60%的測(cè)量時(shí)間的節(jié)約*2。圖中表現(xiàn)了現(xiàn)在型號(hào)100次采樣(5波長(zhǎng) × 20個(gè)樣品)需要的時(shí)間和原有型號(hào)對(duì)比*1。測(cè)量基于食品中生物樣品分析和質(zhì)量控制。
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)
比率光束分光光度計(jì) U-5100
DESIGN:User-friendly, compact, lightweight design
緊湊,輕巧設(shè)計(jì)
與前一型號(hào)相比,U-5100的占地面積減小38%,重量減輕52%,易于被安放到適合的測(cè)試地點(diǎn)
EASY OPERATION:Performing at a Higher Level! The operation of the U-5100 is very easy minimizing the operator training time
標(biāo)配自動(dòng)6池塔輪使測(cè)量過(guò)程變得簡(jiǎn)單
標(biāo)配自動(dòng)6池塔輪使測(cè)量過(guò)程變得簡(jiǎn)單。作為一個(gè)標(biāo)準(zhǔn)配置,系統(tǒng)裝備一個(gè)6池塔輪用于可以同時(shí)安放6個(gè)10 mm的直角比色池。
該系統(tǒng)可以測(cè)量最多六個(gè)校準(zhǔn)溶液或樣品溶液*3,縮短了測(cè)量時(shí)間。
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)
*1日立U-1900比例光束分光光度計(jì)
*2檢測(cè)時(shí)間不包括操作員為支架或旋轉(zhuǎn)支架上的比色池加入樣品所需的時(shí)間。
*3包括自動(dòng)調(diào)零(將吸收率自動(dòng)調(diào)到零的操作)的樣品。