Microflow Cytometer for optical analysis of phytoplankton

• Published in: Biosensors & bioelectronics Vol. 26; no. 11; pp. 4263 - 4269
• Main Authors: Hashemi, Nastaran, Erickson, Jeffrey S., Golden, Joel P., Jackson, Kirsten M., Ligler, Frances S.
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier B.V 15.07.2011; Elsevier
• Subjects: Algae; Biological and medical sciences; Biosensors; Biotechnology; Chip formation; Chips (electronics); Diatoms - chemistry; Diatoms - classification; Diatoms - cytology; Equipment Design; Flow cytometry; Flow Cytometry - instrumentation; Fluorescence; Fundamental and applied biological sciences. Psychology; Hydrodynamic focusing; Microfluidic Analytical Techniques - instrumentation; Microfluidics; Optical Devices; Optical Phenomena; Optical sensing; Phytoplankton; Phytoplankton - chemistry; Phytoplankton - classification; Phytoplankton - cytology; Populations; Scattering, Radiation; Species Specificity; Synechococcus - chemistry; Underwater vehicles; Flow cytometry; Phytoplankton; Hydrodynamic focusing; Microfluidics; Optical sensing; Fluid mechanics; Optical sensor; Hydrodynamics; Miniaturization
• ISSN: 0956-5663; 1873-4235
• DOI: 10.1016/j.bios.2011.03.042

Analysis of the intrinsic fluorescence profiles of individual marine algae can be used in general classification of organisms based on cell size and fluorescence properties. We describe the design and fabrication of a Microflow Cytometer on a chip for characterization of phytoplankton. The Microflow Cytometer measured distinct side scatter and fluorescence properties of Synechococcus sp., Nitzschia d., and Thalassiosira p.; measurements were confirmed using the benchtop Accuri C6 flow cytometer. The Microflow Cytometer proved sensitive enough to detect and characterize picoplankton with diameter approximately 1 μm and larger phytoplankton of up to 80 μm in length. The wide range in size discrimination coupled with detection of intrinsic fluorescent pigments suggests that this Microflow Cytometer will be able to distinguish different populations of phytoplankton on unmanned underwater vehicles.