主要功能
●對自然水體中的藍藻、綠藻、硅/甲藻和隱藻自動分類(定性)
●自動測量水樣中藍藻、綠藻、硅/甲藻和隱藻的葉綠素 a 含量(定量)和總?cè)~綠素 a 含量
●一杯自然水樣,同時獲得藍藻、綠藻、硅/甲藻和隱藻的光合活性:
●光合效率和光合速率(相對電子傳遞速率)
●快速光曲線并進行擬合
●藻類的潛在最大光合效率
●藻類的光保護能力
●藻類耐受強光的能力
●用戶可做自己的參考光譜
測量參數(shù)
Fo, Fm, F, Fm', Fv/Fm, Y(II) 即 ΔF/Fm', ETR, a, Ik, Pm, PAR 和葉綠素含量等
應(yīng)用領(lǐng)域
●主要用于水生生物學(xué)、水域生態(tài)學(xué)、海洋學(xué)、湖沼學(xué)、水質(zhì)預(yù)警、微藻生理學(xué)、微藻抗逆性等領(lǐng)域,對于了解自然水樣中藻類種群的動態(tài)變化、水華預(yù)警、野外水體中光合作用的時空變化、校正初級生產(chǎn)力的計算等有較大幫助。
●特別適于浮游植物動力學(xué)研究和有害水華的早期預(yù)警。
主要技術(shù)參數(shù)
●主控單元:金屬外殼,包含所有的光電元件及樣品測量室
●測量光: LED,440 nm,480 nm,540 nm,590 nm 和 625 nm,5 波長脈沖調(diào)制測量光,2 檔強度設(shè)置,8 檔調(diào)制頻率設(shè)置, 3 檔測量光自動高頻設(shè)置
●光化光:板載多波長 LED 陣列,440 nm,480 nm,540 nm,590 nm,625 nm 和 420-640 nm(白光),提供持續(xù)光化光,最高可達 1400 μmol m-2 s-1,快速動力學(xué)閃光高達 7000 μmol m-2 s-1,飽和脈沖最高可達 5000 μmol m-2 s-1
●遠紅光:725 nm LED
●信號檢測:基于 H-10720 光電傳感器模塊的光電倍增檢測器
●標準檢測過濾器:> 650 nm 長通濾光片
●高分辨率的光電倍增管,葉綠素濃度檢測限低至 0.1μg/L,適用野外采集的藻濃度很稀的樣品
升級的技術(shù)特點
●可提供 5 種波長的脈沖調(diào)制測量光和光化光
●板載 LED 陣列芯片技術(shù)
●可實時進行四種藻的分類
●可進行標準 PAM 測量及不同波長強光化光誘導(dǎo)的毫秒級熒光上升動力學(xué)分析
●可測定光系統(tǒng) II 功能性捕光截面積
●內(nèi)置自動測量程序,易于操作
PHYTO-PAM-II vs PHYTO-PAM
便攜式 PHYTO-PAM-II | PHYTO-PAM |
5 種不同波長的測量光用于生物體內(nèi)不同類型的天線色素?zé)晒獾募ぐl(fā) | 4 種不同波長的光 |
4 種色素類型的在線分類 | 3 種色素類型的在線分類 |
6 種波長的光化光 | 1 種波長的光化光 |
可以分別測量綠藻,藍藻,硅/甲藻以及含有藻紅蛋白的有機體,如隱藻不同波長下 PSII 的活性 | 無該功能 |
緊湊型設(shè)計 | 需要組裝 |
增加了快速動力學(xué)操作模式,可通過強光化光脈沖,測量不同波長的 O- I1 熒光上升動力學(xué)曲線 | 無該功能 |
通過測定不同光質(zhì)和光合生物色素復(fù)合體,獲得光系統(tǒng) II 功能性捕光截面積的信息即 σPSII | 無該功能 |
通過 FluoRed 熒光標準將參考光譜校準標準化 | 無該功能 |
獲得的參考光譜可在不同設(shè)備及用戶間互換使用 | 參考光譜不能互換 |
選購指南
一、實驗室測量基本款
系統(tǒng)組成:實驗室版主機,激發(fā)檢測單元,懸浮液的光學(xué)單元,球形光量子傳感器,工作臺,軟件等
注意:新版 PHYTO-PAM-II 必須配置光量子傳感器,校準光強后參考光譜可在不同儀器間通用
實驗室測量基本款 |
二、野外便攜緊湊款
系統(tǒng)組成:緊湊型主機,球形光量子傳感器,軟件等
注意:新版 PHYTO-PAM-II 必須配置光量子傳感器,校準光強后參考光譜可在不同儀器間通用
便攜式緊湊款 |
五種測量光通道 | 區(qū)分四種藻類 | 通用型參考光譜 |
測量慢速動力學(xué)曲線 淬滅分析,暗弛豫分析 | 測量快速光曲線 光響應(yīng)曲線 | 測量快速動力學(xué)曲線 分析PSII功能性捕光截面 |
三、其他可選附件
1,WATER-S:攪拌器(推薦選配),利用內(nèi)置電池驅(qū)動的馬達帶動攪拌棒旋轉(zhuǎn),對樣品杯里的懸浮液進行攪拌。需配置攪拌棒 WATER-R。
2,WATER-R:攪拌棒(標配10根)
產(chǎn)地:德國WALZ
參考文獻
數(shù)據(jù)來源:光合作用文獻 Endnote 數(shù)據(jù)庫,更新至 2021 年 1 月,文獻數(shù)量超過 10000 篇
原始數(shù)據(jù)來源:Google Scholar
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