主要功能
采用板載芯片 LED 陣列技術(shù)，用 6 種不同波段的激發(fā)光作為測(cè)量光、光化光、飽和脈沖、單周轉(zhuǎn)飽和閃光與多周轉(zhuǎn)飽和閃光
具備比 PAM-2500 高 200 倍的靈敏度
可用于很稀的懸浮液（藻液、葉綠體懸浮液）測(cè)量
專用葉夾可用于高等植物/大型海藻等葉片狀樣品的測(cè)量
標(biāo)準(zhǔn)的PAM測(cè)量功能、復(fù)雜的多相熒光上升動(dòng)力學(xué)擬合分析、馳豫動(dòng)力學(xué)分析
特別適合狀態(tài)轉(zhuǎn)換研究、“非活性PSII”（“Inactive PS II”）研究
超快時(shí)間分辨率達(dá)到 10 ms，由此利用獨(dú)特的 O-I1 相（O-J相）擬合分析用于分析PSII反映中心異質(zhì)性分析，得出 PS II 光合單位的連接性參數(shù)（p和J），速率常數(shù)（Tau）和兩種不同類型 PS II（Type 1 和Type 2）的光學(xué)截面積（Sigma(II)λ）等參數(shù)
新增 PSII 有效光強(qiáng) PAR(II)、經(jīng)過(guò) PSII 的絕對(duì)電子傳遞速率 ETR(II)λ 等全新的光合參數(shù)。
配套的操作軟件，用于復(fù)雜的擬合分析
測(cè)量參數(shù)
Fo, Fm, F, Fm', Fv/Fm, Y(II), qP, qN, NPQ, Y(NO), Y(NPQ), ETR, ETR(II)λ, p, J, Tau, Sigma(II)λ, PAR、PAR(II) 等
應(yīng)用領(lǐng)域
主要用于各種藻類的深入光合作用機(jī)理研究，用適合的波長(zhǎng)、全新的測(cè)量、全新的參數(shù)進(jìn)行藍(lán)藻、綠藻、硅藻、甲藻、紅藻、隱藻等的深入研究。如選配高等植物附件，也可實(shí)現(xiàn)對(duì)高等植物葉片的測(cè)量。
主要技術(shù)參數(shù)
測(cè)量光：提供 400、440、480、540、590 和 625 nm 的脈沖調(diào)制測(cè)量光，20 個(gè)強(qiáng)度選擇，14 個(gè)頻率選擇。
光化光：提供 440、480、540、590、625 nm 和 420-640 nm（白光）連續(xù)光化光照，最大光強(qiáng) 4000 μmol m-2 s-1；單周轉(zhuǎn)飽和閃光的最大強(qiáng)度 200 000 μmol m-2 s-1，持續(xù)時(shí)間 5-50 μs可調(diào)；多周轉(zhuǎn)飽和閃光強(qiáng)度 10 000 μmol m-2 s-1，1-800 ms可調(diào)。
遠(yuǎn)紅光：725 nm。
信號(hào)檢測(cè)：PIN-光電二極管，帶特制鎖相放大器（專利設(shè)計(jì)），最大時(shí)間分辨率 10 μs。
Multi-Color-PAM的功能介紹
光系統(tǒng) II 的相對(duì)電子傳遞速率 rETR 是很常用的一個(gè)參數(shù)。rETR = PAR × Y(II) × ETR-factor，其中 ETR-factor 是指光系統(tǒng)II吸收的光能占總?cè)肷?PAR 的比例。在大多數(shù)已發(fā)表的文獻(xiàn)中，均沒(méi)有試圖去測(cè)定 ETR-factor，只是簡(jiǎn)單地假定跟 “模式葉片” 相同，即有 50% 的 PAR 分配到光系統(tǒng) II，84% 的 PAR 被光合色素吸收。因此在已有的文獻(xiàn)中，rETR一般是用公式 rETR = PAR × Y(II) × 0.84 × 0.5 來(lái)計(jì)算的。
近期，利用多激發(fā)波長(zhǎng)調(diào)制葉綠素?zé)晒鈨x MULTI-COLOR-PAM 可以實(shí)現(xiàn)光系統(tǒng)II的絕對(duì)電子傳遞速率 ETR(II)λ 的測(cè)量。首先需要利用 MULTI-COLOR-PAM 測(cè)定某個(gè)波長(zhǎng)下的光系統(tǒng)II功能性光學(xué)截面積 Sigma(II)λ（單位nm2）（其中λ為波長(zhǎng)），然后求出光系統(tǒng)II的量子吸收速率 PAR(II) = Sigma(II)λ × L × PAR = 0.6022 × Sigma(II)λ× PAR。其中 L 為阿伏伽德羅常數(shù)，系數(shù) 0.6022 是將 1 μmol quanta m-2 （即 6.022 × 1017 quanta m-2）轉(zhuǎn)換為 0.6022 quanta nm-2，PAR(II) 的單位為 quanta/(PSII × s)。接下來(lái)就可以計(jì)算 ETR(II)λ = PAR(II) × Y(II)/Y(II)max，其中 Y(II)max 是經(jīng)過(guò)暗適應(yīng)達(dá)到穩(wěn)態(tài)后的光系統(tǒng)II的量子產(chǎn)量，也就是 Fv/Fm×ETR(II) 的單位為 electrons/(PSII × s)。
傳統(tǒng)的調(diào)制葉綠素?zé)晒鈨x一般只能提供一種或兩種顏色的光源，如發(fā)出白光的鹵素?zé)?、發(fā)出藍(lán)光的藍(lán)色 LED 或發(fā)出紅光的紅色 LED 等。用不同顏色的光測(cè)量的結(jié)果可能會(huì)有不同，如圖 1A 所示，用藍(lán)光（440 nm）和紅光（625 nm）測(cè)量綠藻小球藻的快速光曲線有非常顯著的差別，藍(lán)光照射下的 rETRmax 顯著小于紅光照射下，且在較強(qiáng)的光曲線 rETR 有輕微下降趨勢(shì)，這說(shuō)明藍(lán)光的更容易引發(fā)光抑制 (Schreiber, Klughammer et al. 2011, Schreiber, Klughammer et al. 2012)。由此可以推測(cè)，過(guò)去文獻(xiàn)報(bào)道的很過(guò)實(shí)驗(yàn)結(jié)果，可能會(huì)存在由于采用的激發(fā)光源不同而引起的錯(cuò)誤理解。
如上文所述，利用 MULTI-COLOR-PAM，已經(jīng)可以測(cè)量真實(shí)電子傳遞速率 ETR(II)λ。如果用 ETR(II)λ 來(lái)繪制快速光曲線會(huì)出現(xiàn)什么結(jié)果呢？圖 1B 是將圖 1A 的結(jié)果轉(zhuǎn)換成絕對(duì)電子傳遞速率后得到的結(jié)果，可以看出無(wú)論是照射藍(lán)光還是照射紅光，其絕對(duì)電子傳遞速率是一致的。由此證明圖 1A 中結(jié)果的差異是由于不同波長(zhǎng)下藻細(xì)胞的光系統(tǒng) II 功能性光學(xué)截面積 Sigma(II)λ 的大小不同引起的 (Schreiber, Klughammer et al. 2011, Schreiber, Klughammer et al. 2012)。這種利用絕對(duì)電子傳遞速率 ETR(II)λ 繪制的快速光曲線在未來(lái)的科研中可能會(huì)發(fā)揮越來(lái)越重要的作用。
 |  |
| 圖1 利用相對(duì)電子傳遞速率（A）和絕對(duì)電子傳遞速率（B）分別繪制的快速光曲線（引自Schreiber et al., 2012） | |
| 利用 MULTI-COLOR-PAM 分別以藍(lán)光（440 nm）和紅光（625 nm）作為光化光源，測(cè)量小球藻（Chlorella sp.）的快速光曲線。 | |
| 圖A中，rETR 的計(jì)算采用 0.42 作為 ETR factor。 | |
| 圖B中，藍(lán)光和紅光激發(fā)下獲得的光系統(tǒng)II功能性光學(xué)截面積 Sigma(II)λ 分別為 4.547 和 1.669 nm2，計(jì)算絕對(duì)電子傳遞速率 ETR(II)440 和 ETR(II)625 的 Fv/Fm 分別為 0.68 和 0.66。 | |
選購(gòu)指南
一、懸浮樣品測(cè)量基本款
系統(tǒng)組成：通用型主機(jī)，標(biāo)準(zhǔn)版檢測(cè)單元，懸浮液的光學(xué)單元，數(shù)據(jù)線，工作臺(tái)，軟件等
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| 懸浮樣品測(cè)量基本款 |
二 、高等植物葉片測(cè)量基本款
系統(tǒng)組成：通用型主機(jī)，標(biāo)準(zhǔn)版檢測(cè)單元，特制葉片夾，數(shù)據(jù)線，工作臺(tái)，軟件等
 |
| 高等植物葉片測(cè)量特制葉夾 |
三、其他可選附件
1，ED-101US/T： 控溫裝置，安裝在 ED-101US/MD 上，為懸浮液控溫；可外接循環(huán)水浴來(lái)控溫,
2，US-SQS/WB： 球狀微型光量子探頭，可插入樣品杯中測(cè)量 PAR；由主機(jī) DUAL-C 控制。
3，PHYTO-MS：磁力攪拌器，連接到光學(xué)單元 ED-101US/MD 的底部對(duì)懸浮液進(jìn)行攪拌。
產(chǎn)地：德國(guó)WALZ
參考文獻(xiàn)
數(shù)據(jù)來(lái)源：光合作用文獻(xiàn) Endnote 數(shù)據(jù)庫(kù)，更新至 2021 年 1 月，文獻(xiàn)數(shù)量超過(guò) 10000 篇
原始數(shù)據(jù)來(lái)源：Google Scholar
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