FluorPenFP110手持式叶绿素荧光仪用于实验室、温室和野外快速测量植物叶绿素荧光参数，具有便携性强、精确度高、性价比高等特点；双键操作，具图形显示屏，内置锂电和数据存储，广泛应用于研究植物的光合作用、胁迫监测、除草剂检测或突变体筛选，还可用于生态毒理的生物检测，如通过不同植物对土壤或水质污染的叶绿素荧光响应，找出敏感植物作为生物传感器用于生物检测、�/span>FP110配备多种叶夹型号，用于不同的样品与研究、�/span>

应用领域

适用于光合作用研究和教学，植物及分子生物学研究，农业、林业，生物技术领域等。研究内容涉及光合活性、胁迫响应、农药药效测试、突变筛选等、�/span>

��植物光合特性研穵�/span>

��光合突变体筛选与表型研究

��生物和非生物胁迫的检浊�/span>

��植物抗胁迫能力或者易感性研穵�/span>

��农业和林业育种、病害检测、长势与产量评估

��除草剂检浊�/span>

��教学

功能特点９�/span>

��结构紧凑、便携性强＋�/span>LED光源、检测器、控制单元集成于仅手机大小的仪器内，重量仄�/span>188g

��功能强大，是叶绿素荧光技术的高端结晶产品，具备了大型荧光仪的所有功能，可以测量所有叶绿素荧光参数

��内置了所有通用叶绿素荧光分析实验程序，包括3套荧光淬灭分析程序�?/span>3套光响应曲线程序�?/span>OJIP快速荧光动力学曲线筈�/span>

��高时间分辨率，可辽�/span>10万次每秒，自动绘凹�/span>OJIP曲线并给凹�/span>26�?/span>OJIP–test参数

��FluorPen专业软件功能强大，可下载、展示叶绿素荧光参数图表，也可以通过软件直接控制仪器进行测量

��具备无人值守自动监测功能

��内置蓝牙不�/span>USB双通讯模块＋�/span>GPS模块，输出带时间戳和地理位置的叶绿素荧光参数图表

��配备多种叶夹型号：固定叶夹式（适于实验室内暗适应或夜间快速测量）、分离叶夹式（适用于野外暗适应测量）、探头式（透明光纤探头，具备叶片固定装置，用于非接触性测量监测或光适应条件下的叶绿素荧光监测）、用户定制式筈�/span>

��可选配野外自动监测式荧光仪，防水防尘设讠�/span>

测量程序与功胼�/span>

��Ft：瞬时叶绿素荧光＋�span>暗适应完成名�/span>Ft＜�/span>F₀

��QY：量子产额，表示光系绞�/span>II的效率，等于Fv/Fm(暗适应状�?/span>)戕�/span>��PSII(光适应状�?/span>)、�/span>

��OJIP：快速荧光动力学曲线，用于研究植物暗适应后的快速荧光动态变匕�/span>

��NPQ：荧光淬灭动力学曲线，用于研究植物从暗适应到光适应状态的荧光淬灭变化过程、�/span>

��LC：光响应曲线，用于研究植物对不同光强的荧光淬灭反应、�/span>

��PAR：光合有效辐射，测量环境中植物生长可以利用的400-700nm实际光强（限PAR型号）、�/span>

技术参�?/span>

��测量参数包括F₀�?/span>Ft�?/span>Fm�?/span>Fm‘�/span>�?/span>QY�?/span>QY_Ln�?/span>QY_Dn�?/span>NPQ�?/span>Qp�?/span>Rfd�?/span>PAR（限PAR型号（�/span>�?/span>Area�?/span>Mo�?/span>Sm�?/span>PI�?/span>ABS/RC筈�/span>50多个叶绿素荧光参数，叉�/span>3种给光程序的光响应曲线�?/span>3种荧光淬灭曲线�?/span>OJIP曲线筈�/span>

��OJIP–test时间分辨率为10��s（每科�/span>10万次），给出OJIP曲线咋�/span>26个参数，包括F₀�?/span>Fj�?/span>Fi�?/span>Fm�?/span>Fv�?/span>Vj�?/span>Vi�?/span>Fm/F₀�?/span>Fv/F₀�?/span>Fv/Fm�?/span>Mo�?/span>Area�?/span>Fix Area�?/span>Sm�?/span>Ss�?/span>N�?/span>Phi_Po�?/span>Psi_o�?/span>Phi_Eo�?/span>Phi–Do�?/span>Phi_Pav�?/span>PI_Abs�?/span>ABS/RC�?/span>TRo/RC�?/span>ETo/RC�?/span>DIo/RC筈�/span>

��测量程序９�/span>Ft�?/span>QY�?/span>OJIP�?/span>NPQ1�?/span>NPQ2�?/span>NPQ3�?/span>LC1�?/span>LC2�?/span>LC3�?/span>PAR（限PAR型号）�?/span>Multi无人值守自动监测

��叶夹类型９�/span>FP110/S固定叶夹式�?/span>FP110/D分离叶夹式�?/span>FP110/P探头式�?/span>FP110/X用户定制弎�/span>

��PAR传感�?/span>（限PAR型号（�/span>９�/span>80o入射角余弦校正，读数单位��mol(photons)/m2.s，可显示读数，检测范図�/span>400-700 nm

��测量光：每测量脉�?*0.09��mol(photons)/m2.s＋�/span>10-100%可调

��光化学光９�/span>10-1000��mol(photons)/m2.s可调

��饱和光：**3000��mol(photons)/m2.s＋�/span>10-100%可调

��光源：标准配置蓝先�/span>470nm，可根据需求配备不同波长的LED光源

��检测器９�/span>PIN光电二极管，667�?50nm滤波�?/span>

��尺寸大小：超便携，手机大小，134��65��33mm，重量仅188g

��存贮：容野�/span>16Mb，可存储149000数据炸�/span>

��显示与操作：图形化显示，双键操作，待朹�/span>8分钟自动关闭

��供电：可充电锂电池，USB充电，连续工佛�/span>48小时，低电报�?/span>

��工作条件９�/span>0‒�/span>55℃，0‒�/span>95%相对湿度（无凝结水）

��存贮条件９�/span>-10‒�/span>60℃，0‒�/span>95％相对湿度（无凝结水（�/span>

��通讯方式：蓝牘�/span>+USB双通讯模式

��GPS模块：内�?/span>

��软件９�/span>FluorPen1.1专用软件，用于数据下载、分析和图表显示，输凹�/span>Excel数据文件及荧光动力学曲线图，适用亍�/span>Windows 7及更高操作系绞�/span>

操作软件与实验结枛�/span>

产地：捷兊�/span>

应用案例９�/span>

2017平�/span>4月，美国国家航空航天局＇�/span>NASA）新一代先进植物培养器＇�/span>Advanced Plant Habitat＋�/span>APH）搭载联盟号MS-04货运飞船抵达国际空间站。宇航员使用FluorPen手持仪叶绿素荧光仪在其中开展植物生理学及太空食物种植（growth of fresh food in space）的研究、�/span>

参考文�?/span>

1.F Dang�et al.2019.Discerning the Sources of Silver Nanoparticle in a Terrestrial Food Chain by Stable Isotope Tracer Technique.Environmental Science & Technology 53(7):3802-3810

2.N Moghimi�et al.2019.New candidate loci and marker genes on chromosome 7 for improved chilling tolerance in sorghum.Journal of Experimental Botany70(12):3357�?371

3.M Rafique�et al.2019.Potential impact of biochar types and microbial inoculants on growth of onion plant in differently textured and phosphorus limited soils.Journal of Environmental Management247:672-680

4.P Soudek�et al.2019.Thorium as an environment stressor for growth ofNicotiana glutinosaplants.Environmental and Experimental Botany164:84-100

5.JA P��rez-Romero�et al.2019.Investigating the physiological mechanisms underlying Salicornia ramosissimaresponse to atmospheric CO₂enrichment under coexistence of prolonged soil flooding and saline excess.Plant Physiology and Biochemistry135:149-159

6.D Shao�et al.2019.Physiological and biochemical responses of the salt-marsh plantSpartina alterniflorato long-term wave exposure.Annals of Botany� DOI:10.1093/aob/mcz067

7.C Cirillo�et al.2019.Biochemical� Physiological and Anatomical Mechanisms of Adaptation ofCallistemon citrinusandViburnum lucidumto NaCl and CaCl₂Salinization.Front. Plant Sci. 10:742

8.T Savchenko�et al.2019.Waterlogging tolerance rendered by oxylipin-mediated metabolic reprogramming inArabidopsis.Journal of Experimental Botany70(10):2919�?932

9.M Liu�et al.2019.Strong turbulence benefits toxic and colonial cyanobacteria in water: A potential way of climate change impact on the expansion of Harmful Algal Blooms.Science of The Total Environment670:613-622

10.PK Tiwari�et al.2019.Liquid assisted pulsed laser ablation synthesized copper oxide nanoparticles (CuO-NPs) and their differential impact on rice seedlings.Ecotoxicology and Environmental Safety176:321-329

11.JA P��rez-Romero�et al.2018.Atmospheric CO₂enrichment effect on the Cu-tolerance of the C₄cordgrassSpartina densiflora.Journal of Plant Physiology220:155-166

12.SK Yadav�et al.2018.Physiological and Biochemical Basis of Extended and Sudden Heat Stress Tolerance in Maize.Proceedings of the National Academy of Sciences 88(1):249-263

13.D Balfag��n�et al.2018.Involvement of ascorbate peroxidase and heat shock proteins on citrus tolerance to combined conditions of drought and high temperatures.Plant Physiology and Biochemistry127:194-199

14.JI V��lchez�et al.2018.Protection of Pepper Plants from Drought byMicrobacteriumsp. 3J1 by Modulation of the Plant's Glutamine and ��-ketoglutarate Content: A Comparative Metabolomics Approach.Front. Microbiol. 9:284

15.MC Sorrentino�et al.2018.Performance of three cardoon cultivars in an industrial heavy metal-contaminated soil: Effects on morphology� cytology and photosynthesis.Journal of Hazardous Materials351:131-137

16.E Niewiadomska�et al.2018.Lack of tocopherols influences the PSII antenna and the functioning of photosystems under low light.Journal of Plant Physiology223:57-64

17.S Singh�et al.2018.Cadmium toxicity and its amelioration by kinetin in tomato seedlings vis-��-vis ascorbate-glutathione cycle.Journal of Photochemistry and Photobiology B: Biology178:76-84

18.EL Fry�et al.2018.Drought neutralises plant–soil feedback of two mesic grassland forbs.Oecologia186(4):1113‒�/span>-125

附：OJIP参数及计算公弎�/span>

Bckg = background

Fo: = F50��s; fluorescence intensity at 50 ��s

Fj: = fluorescence intensity at j-step (at 2 ms)

Fi: = fluorescence intensity at i-step (at 60 ms)

Fm: = maximal fluorescence intensity

Fv: = Fm - Fo (maximal variable fluorescence)

Vj = (Fj - Fo) / (Fm - Fo)

Fm / Fo = Fm / Fo

Fv / Fo = Fv / Fo

Fv / Fm = Fv / Fm

Mo = TRo / RC - ETo / RC

Area = area between fluorescence curve and Fm

Sm = area / Fm - Fo (multiple turn-over)

Ss = the smallest Sm turn-over (single turn-over)

N = Sm . Mo . (I / Vj) turn-over number QA

Phi_Po = (I - Fo) / Fm (or Fv / Fm)

Phi_o = I - Vj

Phi_Eo = (I - Fo / Fm) .Phi_o

Phi_Do = 1 - Phi_Po - (Fo / Fm)

Phi_Pav = Phi_Po - (Sm / tFM); tFM = time to reach Fm (in ms)

ABS / RC = Mo . (I / Vj) . (I / Phi_Po)

TRo / RC = Mo . (I / Vj)

ETo / RC = Mo .(I / Vj) . Phi_o)

DIo / RC = (ABS / RC) - (TRo / RC)