Initial development and laboratory testing of a ChLorophyll Absorption Meter (CLAM)
Lead Research Organisation:
Plymouth Marine Laboratory
Department Name: Remote Sensing Group
Abstract
Invisible microscopic algae in the ocean and freshwaters (phytoplankton) are plants that photosynthesise by absorbing solar radiation. In doing so, they provide half of the oxygen we breathe, they support marine ecosystem and the fisheries upon which we depend on, and absorb large quantities of CO2 from the atmosphere. Thus phytoplankton are a crucial component of oceanic and freshwater ecosystems that sustains human population.
To be able to effectively predict future changes in phytoplankton and manage environmental resources, it is therefore fundamental to accurately quantify the current stocks and variability of microscopic algae living in marine and freshwater bodies.
Since all phytoplankton are provided with the photosynthetic pigment chlorophyll-a, the concentration of this pigment (chl) is typically used as a proxy for phytoplankton biomass.
However, current methods to determine chl either rely on laborious and expensive collection and laboratory analyses of discrete water samples, or on highly-inaccurate in-situ measurements of chlorophyll fluorescence. Although in-situ fluorescence has the advantage of providing high-resolution measurements, it is affected by phytoplankton physiological processes that render in-situ fluorescence-based estimates of chl highly inaccurate, even if calibrated using collocated discrete data. For example, the ratio of fluorescence to chlorophyll-a concentration can vary by up to a factor 6 due to variations in solar irradiance.
As a consequence, *accurate* chl estimates are currently extremely scarce preventing effective management of water resources.
The overall objective of this project is to develop and test a prototype of an instrument that ultimately will provide high-resolution in-situ estimates of chl in with unprecedented accuracy.
Specifically, we will develop an initial laboratory prototype which will undergo multiple tests and improvements to achieve highly stable and highly accurate measurements of chl.
We envision that this instrument could become the new standard method for automatically measuring chl in situ and in the laboratory.
This instrument could also be deployed in continuous mode on ships and on autonomous platforms such as gliders and profiling floats, thus greatly extending the availability of highly-accurate and high-resolution in-situ measurements of chl.
To be able to effectively predict future changes in phytoplankton and manage environmental resources, it is therefore fundamental to accurately quantify the current stocks and variability of microscopic algae living in marine and freshwater bodies.
Since all phytoplankton are provided with the photosynthetic pigment chlorophyll-a, the concentration of this pigment (chl) is typically used as a proxy for phytoplankton biomass.
However, current methods to determine chl either rely on laborious and expensive collection and laboratory analyses of discrete water samples, or on highly-inaccurate in-situ measurements of chlorophyll fluorescence. Although in-situ fluorescence has the advantage of providing high-resolution measurements, it is affected by phytoplankton physiological processes that render in-situ fluorescence-based estimates of chl highly inaccurate, even if calibrated using collocated discrete data. For example, the ratio of fluorescence to chlorophyll-a concentration can vary by up to a factor 6 due to variations in solar irradiance.
As a consequence, *accurate* chl estimates are currently extremely scarce preventing effective management of water resources.
The overall objective of this project is to develop and test a prototype of an instrument that ultimately will provide high-resolution in-situ estimates of chl in with unprecedented accuracy.
Specifically, we will develop an initial laboratory prototype which will undergo multiple tests and improvements to achieve highly stable and highly accurate measurements of chl.
We envision that this instrument could become the new standard method for automatically measuring chl in situ and in the laboratory.
This instrument could also be deployed in continuous mode on ships and on autonomous platforms such as gliders and profiling floats, thus greatly extending the availability of highly-accurate and high-resolution in-situ measurements of chl.
Planned Impact
Who might benefit from this research?
Accurate estimates of chlorophyll-a concentration (chl) are needed to monitor the stocks, dynamics and physiological status of phytoplankton in natural marine and freshwater environments. Furthermore, estimates of chl are needed for many other applications.
We therefore expect that the instrument developed in this project will bring benefits to:
1) scientists interested in rapidly estimating chl with high accuracy and with high-temporal resolution in natural marine and freshwater environments as well as in laboratory settings;
2) governmental agencies required to monitor of the status of natural marine and freshwaters waters;
3) private companies interested in monitoring the quality of waste water treatments
4) private shipping companies interested in quantifying the compliance of ballast water treatments.
5) any entity interested in measuring chl (including aquaculture and algal culturing laboratories).
How might they benefit from this research?
The above entities will benefit from this research by having a new tool to automatically (and thus rapidly) measure chlorophyll-a concentration at high-resolution and with unprecedented accuracy. These features will allow for considerable savings the analyses of chl and would potentially open new avenues of research.
Accurate estimates of chlorophyll-a concentration (chl) are needed to monitor the stocks, dynamics and physiological status of phytoplankton in natural marine and freshwater environments. Furthermore, estimates of chl are needed for many other applications.
We therefore expect that the instrument developed in this project will bring benefits to:
1) scientists interested in rapidly estimating chl with high accuracy and with high-temporal resolution in natural marine and freshwater environments as well as in laboratory settings;
2) governmental agencies required to monitor of the status of natural marine and freshwaters waters;
3) private companies interested in monitoring the quality of waste water treatments
4) private shipping companies interested in quantifying the compliance of ballast water treatments.
5) any entity interested in measuring chl (including aquaculture and algal culturing laboratories).
How might they benefit from this research?
The above entities will benefit from this research by having a new tool to automatically (and thus rapidly) measure chlorophyll-a concentration at high-resolution and with unprecedented accuracy. These features will allow for considerable savings the analyses of chl and would potentially open new avenues of research.
Publications

Brewin R
(2016)
Underway spectrophotometry along the Atlantic Meridional Transect reveals high performance in satellite chlorophyll retrievals
in Remote Sensing of Environment

Graban S
(2020)
Accurate deep-learning estimation of chlorophyll-a concentration from the spectral particulate beam-attenuation coefficient.
in Optics express

Rasse R
(2017)
Evaluating Optical Proxies of Particulate Organic Carbon across the Surface Atlantic Ocean
in Frontiers in Marine Science
Description | We have built a working prototype of the instrument and have started negotiating with a company in order commercialise the instrument. A prototype of the commercial instrument has been tested during an Atlantic Meridional Transect and issues identified and reported to the manufacturer. The manufacturer is (slowly) working on improving the prototype. The pandemic has slowed progress dramatically. We have also developed a new technique that simplifies the original idea behind our prototype. The new technique exploits artificial intelligence to accurately estimate chlorophyll concentrations from beam attenuation data (Graban et al., 2020). |
Exploitation Route | It is our hope that the instrument will be commercialised. |
Sectors | Aerospace, Defence and Marine,Environment |
Description | CLAM_PU |
Organisation | University of Plymouth |
Department | Faculty of Health and Human Sciences |
Country | United Kingdom |
Sector | Hospitals |
PI Contribution | We have identified and demonstrated the potential to simplify a complex state-of-the-art in-situ absorption metre to measure chlorophyll concentration. |
Collaborator Contribution | Plymouth University is helping developing a prototype of a novel sensor to measure phytoplankton biomass in the water |
Impact | Development of instrument prototype |
Start Year | 2016 |
Description | CLAM_Valeport |
Organisation | Valeport |
Country | United Kingdom |
Sector | Private |
PI Contribution | We have identified and demonstrated the potential to simplify an in-situ state-of-the-art spectrophotometer to accurately measure chlorophyll-a concentration in water. |
Collaborator Contribution | Valeport is a local company interested in bringing our instrument to commercialisation |
Impact | none yet |
Start Year | 2016 |
Description | Collaboration with Qatar University |
Organisation | Qatar University |
Country | Qatar |
Sector | Academic/University |
PI Contribution | We have participated in a cruise in the Arabian/Persian Gulf and applied the techniques developed during CLAM to a turbid-water environment. We have trained out parner on how to use the technique and demonstrated its validity in this new environment. |
Collaborator Contribution | Our partner support our travel to Qatar as well as made available to us their research vessel for one week. |
Impact | n/a |
Start Year | 2018 |
Description | Global Biogeochemical Argo Network |
Organisation | World Health Organization (WHO) |
Country | Global |
Sector | Public |
PI Contribution | This recently born programme aims at designing and implementing a new global network of profiling floats measuring ocean biogeochemical properties. As leader of the UK BioArgo Network, Dr. Dall'Olmo was invited to participate in the first planning meeting for this network. He contributed results from an analysis of satellite ocean colour data to support the design of the network. |
Collaborator Contribution | Other collaborators provided leadership, experience and other design methods. |
Impact | The first output will be a white paper that summarises the results from the meeting and that will be submitted to the International Argo Steering Team and to the oceanographic community for feedback. |
Start Year | 2016 |