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手持式光合作用測量系統(tǒng)CI-340
日期:2017-03-13 14:00:56

 主要功能
   超輕手持式設(shè)計(含葉室和電池1.5Kg)方便野外測量植物的光合作用相關(guān)參數(shù)
   可選擇開路和閉路兩種測量方法;可選擇測量單葉和群體的光合作用
   配合環(huán)境控制對葉室內(nèi)的光、溫、水、CO2進行控制,研究相關(guān)環(huán)境因子與光合、呼吸的關(guān)系
   自然環(huán)境下進行光合和熒光參數(shù)同步測量
   測量參數(shù):測量單葉或群體的凈光合速率或呼吸速率、蒸騰速率、氣孔導度、胞間CO2濃度及進出葉室的空氣CO2濃度、相對濕度、空氣溫度、葉面溫度、光合有效輻射(PAR)等
   環(huán)境控制模塊能自動或手動控制葉室中的CO2和H2O濃度、光、溫度
   具有獨特的快速連續(xù)光合測量功能(1秒鐘測一組數(shù)據(jù))
測量參數(shù)
   直接測量PAR、CO2、溫度、濕度、穩(wěn)定流速參數(shù)、大氣壓力等參數(shù)
   凈光合速率、蒸騰速率、氣孔導度、細胞間CO2濃度
   與熒光附件連用可以測量熒光參數(shù)
   與土壤呼吸室連接測量土壤呼吸作用

應(yīng)用領(lǐng)域
   手持式光合作用測量系統(tǒng)CI-340廣泛應(yīng)用于植物生理學、生態(tài)學、農(nóng)學、林學、園藝等植物相關(guān)學科研究,特別適合于在苛刻環(huán)境下(如林木冠層、山地環(huán)境等)的快速測量;同樣可以應(yīng)用儲藏加工果品、種子的呼吸、微生物的呼吸、昆蟲呼吸燈相關(guān)CO2變化的研究領(lǐng)域。

主要技術(shù)參數(shù)
主機參數(shù)
   主機:包括了紅外CO2分析器、濕度傳感器、氣泵、電子流量計、顯示器和鍵盤
   顯示器:LCD 40×6字符(320×64像素)
   數(shù)據(jù)存貯:4MB內(nèi)存,存儲大約160萬個數(shù)據(jù)
   數(shù)據(jù)傳輸:USB
   流速: 100-1000mL/min
   工作溫度:0~45℃
   工作濕度:5~95%RH(水汽未凝結(jié))
   供電:7.2V4400mA時鋰電池,可連續(xù)使用4-6小時
   重量:1.5kg(含葉室和鋰電池)
   體積:44.0×5.5×5cm
CO2傳感器技術(shù)參數(shù)
   分析器:低功耗非擴散時紅外分析器
   斬波頻率:1Hz
   響應(yīng)時間:1秒
   使用壽命:5000小時
   測量范圍:0~2000ppm(標準),0~3000ppm(可選)
   分辨率:0.1ppm
   重復性:0.1ppm(短期)
   精度:<2%
   分析器腔室尺寸:100mm×10.5mm(直徑)
濕度傳感器技術(shù)參數(shù)
   類型:濕敏電容
   穩(wěn)定性:精確穩(wěn)定的測量
   測量范圍:0~2100%
   分辨率:0.1%
   精度:在10%RH時,精確度在±2%;在90%時精確度為±3.5 %
PAR傳感器技術(shù)參數(shù)
   類型:使用帶余玄校正濾光片的GaAsP光電池
   測量范圍:0~2500μmol/m-2/s-1
   響應(yīng)光譜:400~700nm
   精度:±5μmol/m-2/s-1(全范圍內(nèi))
氣溫傳感器技術(shù)參數(shù)
   類型:熱電偶
   測量范圍:-15~50℃
   精度:±0.1℃
葉溫傳感器技術(shù)參數(shù)
   類型:紅外非接觸式
   測量范圍:-10~50℃
   精度:±0.3℃

選購指南
基本配置
   主機、葉室、PAR探頭、紅外葉溫計、堿石灰管、硅膠管、可充電鋰電池、電池充電器、USB數(shù)據(jù)線纜、說明書、便攜式儀器箱

ci-340主機圖-1.jpg

可選附件

 

1.jpg

葉綠素熒光部件Junior-PAM
可配置 1.5mm 微型光導纖維,和 CI-340 光合儀連接使用,可以在自然光下同步測定熒光參數(shù)和氣體交換指標。

可測光響應(yīng)曲線和快速光曲線
采用微光纖,適合超小樣品的光合作用研究

技術(shù)參數(shù)

 測量參數(shù):Fo、Fm、Fv/Fm、Fm’、Fo’、ΔF/Fm’、qP、qL, qN、NPQ 、Y(NPQ)和rETR 等

配備有測量、光化、飽和脈沖光、遠紅外各種光源
重量:150 g
電源供應(yīng):由數(shù)據(jù)終端供電

 

CI301LA-1.jpg光強控制模塊CI-301LA
具有手動和自動控制方式
控制葉室內(nèi)葉片接受的光照強度
測量不同光強下的光合作用
測量光合作用隨光強變化的響應(yīng)曲線 
技術(shù)參數(shù)
類型:紅藍LED光源
紅光波峰:25℃時660 nm ? 10 nm
藍光波峰:25℃時470 nm ? 10 nm
光強范圍:0~2500 ?mol m-2 s-1
輻照面積:80 x 40 mm
尺寸:64 x 100 x 160 mm
CI301AD-1.jpg

CO2/H2O供應(yīng)模塊CI-301AD

具有手動和自動控制方式
控制不同水平的CO2濃度和H2O濃度
測量不同CO2濃度和不同H2O濃度下的光合作用
測量光合作用隨CO2濃度變化的響應(yīng)曲線

技術(shù)參數(shù)

CO2供應(yīng):CO2發(fā)生器
CO2范圍:0~2000 ppm
H2O供應(yīng):水汽發(fā)生器
H2O范圍:0~100%RH
尺寸:60 x 100 x 160 mm

CI-510CS-1.jpg

溫度控制模塊CI-510CS
具有手動和自動控制方式
可以設(shè)置不同的溫度,對葉室內(nèi)空氣溫度進行調(diào)節(jié) 

測量不同溫度對植物光合作用的影響
測量光合作用隨溫度變化的響應(yīng)曲線

技術(shù)參數(shù)
類型:熱電制冷器
范圍:環(huán)境溫度?25℃
制冷頭尺寸:55 x 43 x14 mm
尺寸:64 x 100 x 160 mm
CI-510CF-1.jpg熒光控制模塊CI-510CF
與CI-340光合儀連用
可測量暗適應(yīng)下、光下的熒光參數(shù)
同步測量光合-熒光參數(shù)
可以單獨進行測量相關(guān)熒光參數(shù)
技術(shù)參數(shù)
測量光:0.25 ?m
飽和光:3000 ?m
頻率:8-80Hz
光纖:光導纖維
尺寸:64 x 100 x 160 mm
CI-340-1.jpg

前述3種附件可以整合在一起,

如圖所示
為光強控制模塊CI-301LA

CO2/H2O控制模塊CI-301AD

溫度控制模塊CI-510CS供電

 

技術(shù)參數(shù)
電池包:CI-340BP
電池:7.2V可充電鋰電
電池重量:215g
供電時間:4-10h(視使用模塊)
CI-340BP尺寸:200×128×160mm

 

葉室類型

 ci-340-b-1.jpg

葉室類型

型號

窗口尺寸

深度

適用對象

開路葉室

方形葉室

CI-301LC-1

25×25 mm

10 mm

6.25cm2寬大葉片

寬葉室

CI-301LC-2

55×20 mm

10 mm

11 cm2寬大葉片

窄葉室

CI-301LC-3

65×10 mm

10 mm

6.5 cm2窄長葉片

小柱狀葉室

CI-301LC-4

25×90 mm

25 mm

22.5 cm2幼苗、簇狀葉/針葉、苔蘚等

大柱狀葉室

CI-301LC-5

50×70 mm

50 mm

35 cm2大幼苗、擬南芥、針葉、苔蘚、昆蟲等

仙人掌葉室

CI-301LC-11



仙人掌或肉質(zhì)植物

閉路葉室

1/4葉室

CI-301LC-7

104×33 mm

73 mm

0.2505L枝條、小型植株(單株)、幼苗等

1/2葉室

CI-301LC-8

89×66 mm

86 mm

0.5052L枝條、小型植株(單株)、幼苗等

1葉室

CI-301LC-9

112×90 mm

99 mm

1.0090L枝條、小型植株(多株)、幼苗等

4葉室

CI-301LC-10

180×130 mm

170 mm

3.9780L群體測量

土壤呼吸室

CI-301SR

直徑100 mm

100 mm

面積73.4cm2   ,呼吸室0.634 L;10mm0.580   L

群體葉室接口

CI-301CC

直徑76 mm


連接自制群體光合室

產(chǎn)地:美國CID

參考文獻

 原始數(shù)據(jù)來源:Google Scholar
1.Zhiwei Zheng, Yangren Wang, Shaosheng Wang, Baoyong Zhao(2016) Research on tomato water requirement with drip irrigation under plastic mulch in greenhouse,2016 Fifth International Conference on Agro-Geoinformatics (Agro-Geoinformatics) 10.1109/Agro-Geoinformatics.2016.7577646
2.Zhiwei Zheng, Yangren Wang(2016),Research on the relationship among the growth period environmental factors of tomato under the condition of mulched drip irrigation in greenhouse, 2016 Fifth International Conference on Agro-Geoinformatics (Agro-Geoinformatics), 10.1109/Agro-Geoinformatics.2016.7577648
3.Leticia Larchera, Maria Regina Torres Boegerb, Leonel da Silveira Lobo O'Reilly Sternbergc(2016)Gas exchange and isotopic signature of mangrove species in Southern Brazil,Aquatic Botany 10.1016/j.aquabot.2016.06.001
4.Arjun Adhikaria, Joseph D. Whitea(2016),Climate change impacts on regenerating shrubland productivity, Ecological Modelling, 10.1016/j.ecolmodel.2016.07.003
5.Sadasivan Nair Raji, Geetha Nair Aparna Changatharayil N. Mohanan, Narayanan Subhash,((2016))Proximal Remote Sensing of Herbicide and Drought Stress in Field Grown Colocasia and Sweet Potato Plants by Sunlight-Induced Chlorophyll Fluorescence Imaging, 10.1007/s12524-016-0612-3
6.Zhenhua Yu, Yansheng Li, Jian Jin, Xiaobing Liu & Guanghua Wang(2016) Carbon flow in the plant-soil-microbe continuum at different growth stages of maize grown in a Mollisol, 10.1080/03650340.2016.1211788
7.M. Drapikowskaa, P. Drapikowskib, K. Borowiaka, F. Hayesc, H. Harmensc, T. Dziewi?tkaa, K. Byczkowskaa(2016) Application of novel image base estimation of invisible leaf injuries in relation to morphological and photosynthetic changes of Phaseolus vulgaris L. exposed to tropospheric ozone, 10.1016/j.apr.2016.06.008
8.Juan F Ovalle , Eduardo C Arellano, Juan A Oliet, Pablo Becerra(2016) Rosanna Ginocchio, Linking nursery nutritional status and water availability post-planting under intense summer drought: the case of a South American Mediterranean tree species, 10.3832/ifor1905-009
9.Imran Khana, Muhammad Iqbala, Muhammad Yasin Ashrafb, Muhammad Arslan Ashrafa, Shafaqat Alic(2016) Organic chelants-mediated enhanced lead (Pb) uptake and accumulation is associated with higher activity of enzymatic antioxidants in spinach (Spinacea oleracea L.), 10.1016/j.jhazmat.2016.06.007
10.Tao Wei, Kejun Deng, Dongqing Liu, Yonghong Gao, Yu Liu, Meiling Yang, Lipeng Zhang, Xuelian Zheng, Chunguo Wang, Wenqin Song, Chengbin Chen, and Yong Zhang(2016) Ectopic expression of DREB transcription factor, AtDREB1A, confers tolerance to drought in transgenic Salvia miltiorrhiza, Plant Cell Physiology10.1093/pcp/pcw084
11.Xinping Chen, Hongyu Yuan, Rongzhi Chen, Lili Zhu, Bo Du, Qingmei Weng and Guangcun He(2016)Isolation and Characterization of Triacontanol-Regulated Genes in Rice (Oryza sativa L.): Possible Role of Triacontanol as a Plant Growth Stimulator,Plant & Cell Physiology 10.1093/pcp/pcf100
12.Muhammad Adrees, Muhammad Ibrahim, Aamir Mehmood Shah, Farhat Abbas, Farhan Saleem, Muhammad Rizwan, Saadia Hina, Fariha Jabeen, Shafaqat Ali(2016)Gaseous pollutants from brick kiln industry decreased the growth, photosynthesis, and yield of wheat (Triticum aestivum L.),Environmental Monitoring and Assessment 10.1007/s10661-016-5273-8
13.Carlos A. Madera-Parra(2016) Treatment of landfill leachate by polyculture constructed wetlands planted with native plants, Ingeniería y Competitividad
14.Raji, S., Subhash, N., Ravi, V., Saravanan, R., Mohanan, C., Nita, S., Kumar, T.(2016) Detection and Classification of Mosaic Virus Disease in Cassava Plants by Proximal Sensing of Photochemical Reflectance Index, Journal of the Indian Society of Remote Sensing 10.1007/s12524-016-0565-6
15.Gao, X., Zhao, S., Xu, Q., Xiao, J.(2016) Transcriptome responses of grafted Citrus sinensis plants to inoculation with the arbuscular mycorrhizal fungus Glomus versiforme, Trees 10.1007/s00468-015-1345-6
16.Per, T., Khan, S., Asgher, M., Bano, B., Khan, N.(2016) Photosynthetic and growth responses of two mustard cultivars differing in phytocystatin activity under cadmium stress, Photosynthetica 10.1007/s11099-016-0205-y
17.Loka, D., Oosterhuis, D.(2016) Increased night temperatures during cotton's early reproductive stage affect leaf physiology and flower bud carbohydrate content decreasing flower bud retention, Journal of Agronomy and Crop Science 10.1111/jac.12170
18.Zhou, B., Sun, J., Liu, S., Jin, W., Zhang, Q., Wei, Q.(2016) Dwarfing apple rootstock responses to elevated temperatures: a study on plant physiological features, and transcription level of related genes, China Agri Science
19.Das, A., Eldaka, M., Paudel, B., Kim, D., Hemmati, H., Basu, C., Rohila, J.(2016) Leaf Proteome Analysis Reveals Prospective Drought and Heat Stress Response Mechanisms in Soybean
20.Ovalle, J., Arellano, E., Ginocchio, R., Becerra, P.(2016) Fertilizer location modifies root zone salinity, root morphology, and water-stress resistance of tree seedlings according to the watering regime in a dryland reforestation, Journal of Plant Nutrition and Soil Science 10.1002/jpln.201500181
21.Li, Y, Wang, Z., Zhang, J., Wenhao, L.(2016) Effect of Liquid Mulch on the Transpiration Rate and Water Use Efficiency of Drip-irrigated Cotton, International Journal of U and E Service, Science and Technology 10.14257/ijunesst.2016.9.1.12

 

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