FP-leaf葉夾式植物光譜與葉綠素熒光測量包用于測量葉片水平的植物葉綠素熒光、葉片反射光譜及光譜指數等，包括手持式葉綠素熒光測量儀和植物反射光譜測量儀。適于野外大量樣品的快速檢測，廣泛應用于植物脅迫響應、除草劑檢測，生態毒理生物檢測、植物反射光譜測量、色素組成變化、氮素含量變化、產量估測、生態學、分子生物學等。

 
     
  測得的數據以圖形或數據表的形式實時顯示在儀器的顯示屏上。這些數據都可以儲存在儀器的內存里并傳輸到電腦里。測量儀由可充電鋰電池供電，不需要使用電腦即可獨立進行測量。測量儀配備全彩色觸屏顯示器、內置光源、內置GPS和用于固定樣品的無損葉夾。

應用領域：
  適用于光合作用研究和教學，植物及分子生物學研究，農業、林業，生物技術領域等。研究內容涉及光合活性、脅迫響應、農藥藥效測試、突變篩選、色素含量評估等。
  1.植物光合特性研究
  2.光合突變體篩選與表型研究
  3.生物和非生物脅迫的檢測
  4.植物抗脅迫能力或者易感性研究
  5.農業和林業育種、病害檢測、長勢與產量評估
  6.除草劑檢測
  7.色素組成變化
  8.氮素含量變化
  9.產量估測
  10.教學

 

功能特點 ：

• 結構緊湊、便攜性強，光源、檢測器、控制單元集成于僅手機大小的儀器內
• 功能強大，具備了大型葉綠素熒光儀和反射光譜儀的所有功能，可以測量所有葉綠素熒光參數和自動計算常用的植物反射光譜指數，同時提供熒光動力學曲線圖和高精度反射光譜圖
• 葉綠素熒光檢測內置了所有通用實驗程序，包括3套熒光淬滅分析程序、3套光響應曲線程序、OJIP快速熒光動力學曲線等
• 葉綠素熒光檢測具備高時間分辨率，可達10萬次每秒，自動繪出OJIP曲線并給出26個OJIP–test參數
• 專業軟件功能強大：葉綠素熒光分析軟件可下載、展示葉綠素熒光參數圖表，也可以通過軟件直接控制儀器進行測量；植物光譜分析軟件可以自動計算內置植被指數、計算用戶自定義植被指數、實時顯示數據圖和數據表
• 葉綠素熒光檢測具備無人值守自動監測功能
• 具備GPS模塊，輸出帶時間戳和地理位置的葉綠素熒光參數圖表和反射光譜數據

 
 
 
 
應用案例 1：
 
  歐盟委員會聯合研究中心通過無人機遙測技術研究葉緣焦枯病菌在橄欖樹中的感染。同時通過FluorPen葉綠素熒光儀和RP400光譜儀直接檢測葉片的葉綠素熒光和反射光譜植被指數，用于對照修正無人機遙測數據。研究結果發表在《Nature Plants》（Zarco-Tejada，2018）。
 
應用案例 2：
  水稻灌漿期的夜間高溫會顯著影響水稻的產量。捷克科學院研究中心與水稻研究所合作研究夜間高溫對成熟水稻穗光學特性的變化追蹤。研究者使用FluorPen手持式葉綠素熒光儀測量了光合系統有效光化學效率ΦII（也稱為有效量子產額QY或ΦPSII）和穩態熒光Fs。同時使用PolyPen手持式植物反射光譜測量儀的前期型號WinePen測量了反射光譜曲線，并計算了PRI、mSR705、mND705、R470/R570、R520/R675等9項植被指數。這些植被指數與水稻葉片/穗的光合能力、穩態熒光、葉綠素濃度等緊密相關（Gil-Ortiz R et al. 2020）。
 

參考文獻：

1. Singh, S., Mohan Prasad, S. & Pratap Singh, V. Additional calcium and sulfur manages hexavalent chromium toxicity in Solanum lycopersicum L. and Solanum melongena L. seedlings by involving nitric oxide. Journal of Hazardous Materials 398, 122607 (2020).
2. Ariyarathna, R. a. I. S., Weerasena, S. L. & Beneragama, C. K. Application of Polyphasic OJIP Chlorophyll Fluorescent Transient Analysis as an Indicator for Testing of Seedling Vigour of Common Bean (Phaseolus vulgaris L.). Tropical Agricultural Research 31, 106–115 (2020).
3. Prity, S. A. et al. Arbuscular mycorrhizal fungi mitigate Fe deficiency symptoms in sorghum through phytosiderophore-mediated Fe mobilization and restoration of redox status. Protoplasma (2020) doi:10.1007/s00709-020-01517-w.
4. Rahman, M. A. et al. Arbuscular Mycorrhizal Symbiosis Mitigates Iron (Fe)-Deficiency Retardation in Alfalfa (Medicago sativa L.) Through the Enhancement of Fe Accumulation and Sulfur-Assisted Antioxidant Defense. International Journal of Molecular Sciences 21, 2219 (2020).
5. Vitorino, L. C. et al. Biocontrol Potential of Sclerotinia sclerotiorum and Physiological Changes in Soybean in Response to Butia archeri Palm Rhizobacteria. Plants 9, 64 (2020).
6. Kasampalis, D. S., Tsouvaltzis, P. & Siomos, A. S. Chlorophyll fluorescence, non-photochemical quenching and light harvesting complex as alternatives to color measurement, in classifying tomato fruit according to their maturity stage at harvest and in monitoring postharvest ripening during storage. Postharvest Biology and Technology 161, 111036 (2020).
7. Soares, J. S., Santiago, E. F. & Sorgato, J. C. Conservation of Schomburgkia crispa Lindl. (Orchidaceae) by reintroduction into a fragment of the Brazilian Cerrado. Journal for Nature Conservation 53, 125754 (2020).
8. Poblete, T. et al. Detection of Xylella fastidiosa infection symptoms with airborne multispectral and thermal imagery: Assessing bandset reduction performance from hyperspectral analysis. ISPRS Journal of Photogrammetry and Remote Sensing 162, 27–40 (2020).
9. Chiluwal, A. et al. Deterioration of ovary plays a key role in heat stress-induced spikelet sterility in sorghum. Plant, Cell & Environment 43, 448–462 (2020).
10. Maai, E., Nishimura, K., Takisawa, R. & Nakazaki, T. Diurnal changes in chloroplast positioning and photosynthetic traits of C4 grass finger millet. Plant Production Science 0, 1–13 (2020).
11. De Micco, V. et al. Dust accumulation due to anthropogenic impact induces anatomical and photochemical changes in leaves of Centranthus ruber growing on the slope of the Vesuvius volcano. Plant Biol J 22, 93–102 (2020).
12. Gil-Ortiz R et al. 2020. New Eco-Friendly Polymeric-Coated Urea Fertilizers Enhanced Crop Yield in Wheat. Agronomy 10: 438
13. Zarco-Tejada, P. J., Camino, C., Beck, P. S. A., Calderon, R., Hornero, A., et al. 2018. Previsual symptoms of Xylella fastidiosa infection revealed in spectral plant-trait alterations. Nature Plants, 4(7), 4 ts, 4(7), 432–439.
14. Poblete, T., Camino, C., Beck, P. S. A.,A., Hornero, A., et al. 2020. Detection of Xylella fastidiosa in  fastidiosa infection symptoms with airborne multispectr tral and thermal imagery: Assessing bandset redu eduction performance from hyperspectral analysis. ISPRS Journal of urnal of Photogrammetry and Remote Sensing, 162, 27–40.
15. Junker L. V., Rascher U., Jaenicke H., et al. 2019. Detection of plant stress responses in aphid-infested lettuce using non-invasive detection methods. Integrated Protection in Field Vegetables IOBC OBC-WPRS Bulletin Vol.142, 2019 . 8-16 8
16. Wu, L.B., Holtkamp, F., Wairich, A., & Frei, M. 2019. Potassium Ion Channel Gene OsAKT1 Affects Iron Translocation in Rice Plants Exposed to Iron Toxicity. Frontiers in Plant Science, 10.
17. Bartak, M., Hajek, J., Morkusova, J., et al. 2018. Dehydration-induced changes in spec pectral reflectance indices and chlorophyll fluorescence of Antarctic e of Antarctic lichens with different thallus color, and intrathall intrathalline photobiont. Acta Physiologiae Plantarum, 40(10 10).
18. Bartak, M., Mishra, K.B., Mareckova A, M. 2018. Spectral reflectance indices sense desiccation induced changes in the thalli of Antarctic lichen Dermatocarpon polyphyllizum. Czech Polar Reports 8 (2): 249-259.
19. Gálvez, S., Mérida-García, R., Camino Ino, C. et al. 2018. Hotspots in the genomic architectu hitecture of field droughtresponses in wheat as breeding targets. Functional & Integrative Genomics.
20. Nuttall, J. G., Perry, E. M., Delahunt Ty, A. J. et al. 2018. Frost response in wheat and early detection using proximal sensors. Journal of Agrono f Agronomy and Crop Science, 205(2), 220–234.
21. Sytar O., Zivcak M., Olsovska K., Breststic M. 2018 Perspectives in High-Throughput Phenotyping of Qualitative Traits at the Whole-Plant Level. In: Sengar R., Singh A. (eds) Eco-friendly Agro-biolog logical Techniques for Enhancing Crop Productivity. Springer, Singapore.