CHEMICAL ENGINEERING TRANSACTIONS  
 

VOL. 57, 2017 

A publication of 

 
The Italian Association 

of Chemical Engineering 
Online at www.aidic.it/cet 

Guest Editors: Sauro Pierucci, Jiří Jaromír Klemeš, Laura Piazza, Serafim Bakalis 
Copyright © 2017, AIDIC Servizi S.r.l. 

ISBN 978-88-95608- 48-8; ISSN 2283-9216 

Evaluating Microalgae Attachment to Surfaces: a first 
Approach towards a Laboratory Integrated Assessment 

Dora Allegra Carbonea, Immacolata Garganob, Gabriele Pintoa, Antonino De 
Natalea, Antonino Pollioa* 
a
Dipartimento di Biologia, Università degli studi di Napoli “Federico II”, Naples, Italy. 

bDipartimento di Ingegneria Chimica, dei Materiali e della Produzione Industriale, Università degli studi di Napoli “Federico 
II”, Naples, Italy. 
anpollio@unina.it) 

Recently, the challenge of producing algal biomass at low cost has been faced also with manufacturing 
systems based on immobilized microalgae. The growth of microalgae as a biofilm reduces the costs of 
harvesting and also the water demand, allowing at the same time a high biomass productivity. The initial 
adhesion to a surface is one of the key factors for the formation and maintenance of a stable microbial 
community, and although the physical properties of the surface have an influence on the adhesion process, 
the major role is played by species selection. Here we propose a simple procedure to establish on a bench-
scale the ability of an algal strain to form a stable biofilm on a surface. As a model organism was selected 
Scenedesmus vacuolatus (ACUF 053) and the progressive adhesion of the microalgae at the surface of two 
tissues, cotton and jute, was followed with a two-step protocol based on the combination of image analyses 
and fluorometric measurements. The growth and viability of the algal biofilm were followed through color 
measurements of inoculated carriers taken at different times using the Trainable Weka Segmentation (a plugin 
of Fiji) on digital photographs, whereas pulse amplitude modulation (PAM) fluorometry allowed the 
measurement of algal photochemical activity on two textures. The results indicate that the progressive 
adhesion of the microalgae reached 80% of the surface of cotton fabrics during the first four days, and that the 
indicators of cell photosynthetic performance, decreased during the time course of the experiment, suggesting 
that the reduction of the nutrients concentration in the media could be responsible of progressive decay of the 
photochemical activity. In conclusion, the method provides reliable data on the extent and metabolic efficiency 
of the algal attachment to a solid substrate.  
Key words – microalgae, Scenedesmus, biofilm adhesion, image analysis, PAM fluorometry 

1. Introduction 

Mass cultures of microalgae are presently at a stage not fully developed, despite years of research. The 
reason for their reduced exploitation is the too high cost of production, and the efforts of the last years are 
particularly concentrated on this aspect. The challenge of producing algal biomass at lower costs has been 
faced also with manufacturing systems based on immobilized microalgae. The growth of microalgae as a 
biofilm reduces the costs of harvesting and also the water demand, allowing at the same time high biomass 
productivity (Liu et al., 2013). The initial adhesion of algae to a surface is one of the key factors for the 
formation of a biofilm, and is ruled by the properties of the surface and the species selection (Irving and Allen, 
2011). The production of extracellular polymeric substance (EPS) by unicellular algae is known for decades 
(Hellebust, 1974), and a wide array of molecules, ranging from carbohydrates to proteins, lipids and vitamins 
has been detected in the external space that surrounds the cells (Myklestadt, 1995), playing a key role in the 
establishment of the biofilm. The genus Scenedesmus, one of the first microalgae tested in suspended-based 
mass cultivation (Ketchum and Redfield, 1949), has shown a promising attitude to grow on the surface of solid 
carriers, and different methods of attachment have been proposed (Chen et al., 2014). Recently, we have 
concentrated our attention on the growth and photosynthetic performances of liquid cultures of Scenedesmus 
vacuolatus in enclosed photobioreactors. The description of photosynthesis behavior of S. vacuolatus through 

                               
 
 

 

 
   

                                                  
DOI: 10.3303/CET1757013

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Please cite this article as: Carbone D.A., Gargano I., Pinto G., De Natale A., Pollio A., 2017, Evaluating microalgal attachment to surfaces:  a 
first approach towards a  laboratory  integrated assessment, Chemical Engineering Transactions, 57, 73-78  DOI: 10.3303/CET1757013 

73



a kinetic model by PAM fluorometry was carried out with the aim of optimizing the biomass growth rate, and to 
assess the effects of different light operating conditions and photobioreactor design (Gargano et al., 2015). 
Then, the photosynthetic performances of S. vacuolatus under batch, fed-batch, semi-continuous cultivation 
strategy and under different CO2 regimes were evaluated with the same model, to estimate the light intensity 
which maximizes the photosynthesis in liquid mass cultures. Here we propose a simple procedure to establish 
on a bench-scale the ability of an algal strain to form a stable biofilm on a surface. This two-step protocol is 
based on a combination of image analyses and fluorometric measurements, providing information on the 
extent and viability of biofilm formation that can be very useful to assess the attitude of microalgal strains to 
grow on a solid substrate. 

2. Materials and Methods 

S. vacuolatus strain ACUF 053 (www.acuf.net) was maintained and grown on Bold‘s basal medium in 100 mL 
Erlenmeyer flasks placed in a climatic chamber at 24 ± 2°C, on a shaking apparatus at 60 rpm. Continuous 
light, at 90±10 μmol m-2 s-1 was provided by 36 WT12 fluorescent Cool White (Osram light, Munich, 
Germany). The materials selected for adhesion experiments were cotton and jute, which were cut into square 
carriers 2,0 cm x 2,0 cm (width 0,3 cm) using a scissor. The carriers were first photographed with a Nikon 
5300 digital camera and then, at higher magnifications, with a Leitz Metallurgical Microscope, equipped with a 
digital camera. Three carriers of each material type, previously sterilized at 120°C for 20 minutes, were placed 
in a 9 cm diameter glass Petri dish containing 30 mL of sterile BBM. Inocula of S. vacuolatus from exponential 
cultures were poured in each Petri dish, to have a final concentration of 0,5 optical density, assessed with a 
Specoman 50 spectrophotometer at 600 nm. The Petri dishes were placed on a rotating shaker at 70 rpm and 
held in the same conditions of light and temperature previously described for the maintenance cultures. 
Distilled water was added every two days to compensate the evaporation. The nitrogen concentration in the 
medium was measured as nitrate, by the spectrophotometric method reported by Collos et al. (1999). The 
adhesion of S. vacuolatus to the carriers was measured through a photographic recording of each carrier 
following the method described by Marasco et al. (2016). The carriers were placed on millimetric paper under 
controlled light provided by florescent lamps. The image were captured with a Nikon D5100. The parameters 
of the camera were: quality image FINE, image dimension NORMAL, length 3696 pixels, height 2448 pixels, 
horizontal resolution 300 dpi, vertical resolution 300 dpi, Bit depth 24, focus 5,6, exposition time 1/8, ISO 
sensibility 320, focal distance 50mm, light source AUTO. The digital images recorded at different times were 
analyzed with the software Fiji (Schindelin et al., 2012; and also http://www.fiji.sc), an open source image 
processing package based on ImageJ™ and the geometry and radiometry of the images were rectified to 
allow comparisons. The result of these geometric corrections is a multi-layer file, in which each layer 
represents a single measurement. The color measurement was analyzed using the Trainable Weka 
Segmentation (Hall et al., 2009) a plugin of Fiji, that permits to cluster different colours and their tones, 
distinguishing in this way the substrate from by microalgae. Chlorophyll fluorescence emissions were 
determined at room temperature by a pulse amplitude modulated fluorometer (Hansatech Fluorescence 
Monitoring System) elsewhere schematized (Gargano et al., 2015). The Petri dishes were kept in the dark for 
30 minutes before starting the tests. Since it is known that the humidity content of carriers is the key factor 
ruling fluorescence measurements in the lab, each carrier was moisturized for two times at an interval of ten 
minutes, according the procedure described by Eggert et al. (2006). The protocol used for the PAM analysis 
was reported by Maxwell and Johnson (2000), with some modification for photosynthetic and non-
photosynthetic quenching times (3 minutes). The algae were exposed at three light intensity (39-150-400 μmol 
m−

2 s−1). Fv/Fm were determined with a completely saturating white light pulse (2600 μmol photons m−2s−1 
weak 0,6). The gain of the instrument was 30 and the weak was 1. The light conductor of the fluorometer was 
always blocked at a distance of 7 mm from the substrate thanks to a special support. The fixed distance was 
necessary to avoid changes during fluorescence measurement. The measurements were carried out in 
triplicate for each set of operating strategies and conditions. The experiments were repeated for three times 
and the results were analyzed with ANOVA test. 

3. Results 

Cotton and jute fabrics were cut in small squares of 2 cm and were used as carriers for the experiments of S. 
vacuolatus cell immobilization. The experiments lasted 16 days, and the adhesion of the alga to substrates 
was followed by image analyses and PAM fluorometry. After 2 days, the colonization of the carriers by S. 
vacuolatus attained more than 80% of the surface of each carrier (not shown). Digital image analysis is a low-
cost technique that allows the non-destructive recording and quantification of different components of a biofilm 
(Kaur and Kaur, 2014). Thanks to the colour cluster analysis (Trainable Weka Segmentation), it was possible 

74



to obtain from each image different ranges of hues and colours, which can be observed in terms of visible 
absorption spectrum. On both cotton and jute, the prevalent colour of the images taken before the inoculation 
and after the first 24 hours was white, that indicates the absence of algae on the carriers. After 48 hours and 
until the end of the experiment, the yellow colour prevailed, showing the formation of a subtle layer of 
microalga, which covered more than 80% of the total surface of both carriers. Finally, the green color occurs in 
the presence of large biomass of microalgae, indicating the formation of a thick biofilm (Berner et al., 2014), 
that accomplished to less than 20% of the superficial coverage of both carriers at the end of the experiment 
(Figure 1a, b). 

 

Figure 1. Growth of microalgae on cotton (a) and jute (b) carriers measured with the Trainable Weka 

Segmentation. Uncolonized area ( ∏ ), colonized area ( |||| ), biofilm ( ≡ ). 

The nitrate content of the culture medium in which the carriers were immersed was progressively reduced to 
less than one tenth of the initial concentration (Figure 2). The depletion of nitrate is generally linked to an 
increase of the pH (Markau et al., 2014). In this experiment, the initial pH of the medium was 6,5 and achieved 
values around 9 at the end of the test. The nitrate depletion in the medium in the presence of cotton carriers 
was initially slower, but the final measurements evidenced similar values of nitrate concentration (4 mg/l) in 
presence of both carriers (not shown). 

 

Figure 2. Nitrate content in the culture medium supporting the growth of the carriers. Cotton ( █ ), jute ( ∏ ). 

The adhesion of S. vacuolatus to the substrates was also measured in terms of efficiency of the 
photochemistry of the immobilized algae. Light intensity plays a key role, affecting the photochemical 
efficiency of attached algae. All the measured parameters varied at different light intensities, resulting 
particularly sensitive in the range 50-150 PAR. In this interval, we observed the maximum decrease of 
photochemical efficiency that declined from the initial values of 0,65 for jute and 0,55 for cotton to 0,48 for jute 
and 0,44 of cotton (Figure 3). 
 

75



 

Figure 3. Fv/Fm of S. vacuolatus cultures on cotton and jute carriers. 2
th

 day ( \\\\ ), 4
th

 day ( ≡ ), 8
th

 day ( |||| ), 

16
th

 day ( █ ). 

Accordingly, in both type of carriers the microalgae reduced their quantum yield values during the experiment 
time, with a similar trend, and also in this case higher light intensities showed inhibitory effects on this 
parameter (Figure 4a, b). 

 

Figure 4. Quantum yield of S. vacuolatus cultures grown on cotton (a) or jute (b) carriers. 2th day (—), 4th day 

(····), 8th day (- - -), 16th day (– – –). 

In our experiments, also NPQ, a parameter related to the photoprotection of PSII (Lavaud et al., 2000), was 
scarcely influenced by the type of carrier, and depended mainly on light intensity. NPO initially achieved high 
values already at very low light intensity (0,269 at 39 μmol m−2 s−1), but in the following days the values 
decreased to 0,1. At higher light intensities NPQ increased, reaching the maximum values of 0,450 at 480 
μmol m−

2 s−1. 

 

Figure 5. NPQ of S. vacuolatus cultures grown on cotton (a) or jute (b) carriers. 2th day (—), 4th day (····), 8th 

day (- - -), 16th day (– – –). 

76



4. Conclusion 

Immobilized-based systems of microalgal cultivations provide new opportunities for reducing costs and natural 
resources consumption, but a systematic study on substrate and strain selection is still required. Recent 
evidence on algal biofilm cultivation system indicates that natural materials like cotton can sustain the algal 
growth for several months and Scenedesmus is showing a very promising attitude in biofim-based 
technologies (Gross and Wen, 2014). On the other hand, this genus is characterized by a high number of 
species (about 800 taxa have been described, according to Hegewald, (1998)); many Scenedesmus strains 
with unknown biotechnological performances are presently held in the algal collections distributed over the 
world, and a protocol for a high throughput screening is needed. The laboratory approach proposed in this 
study has shown promising results in terms of reliability, costs and times required; indeed, both the techniques 
adopted are not expensive and furnish results in short times. Digital image analysis can represent a tool very 
effective to record the algal growth on attached surfaces, and the development of measuring systems shows 
that is possible to furnish a detailed characterization of coloured surfaces (Leon et al., 2006). In a recent study 
on the colonization of lithic surfaces we have demonstrated that it is possible to investigate the behaviour of 
different strains of Cyanobacteria and green algae by image analysis and that CLSM microscopy can be a tool 
to describe in a quantitative way the pioneering attitude of different phototrophic organisms (Marasco et al., 
2016). However, this kind of approach requires long times (two months), that represent a limit when it is 
necessary to gain a quick response on the biotechnological features of a strain. The use of PAM fluorometry 
coupled with digital image analysis has shown that it is possible provide data also on the physiological status 
of the attached algal cells, that plays a fundamental importance for the selection of a proper strain. It is 
possible to evaluate the algal growth through measurements of fluorescence after dark adaptation, as 
indicated by von Werder and Venzmer (2013); moreover under controlled conditions carbon fixation and PSII 
are linearly correlated (Maxwell and Johnson, 2000), The Fv/Fm generally has a maximum value of 0,7/0,8 
under optimal conditions (Masojídek et al., 2003), but in our test this parameter never achieved these values. 
A low Fv/Fm ratio can be due to photoinhibition, usually caused by a synergism between high irradiance and 
other forms of environmental stress, as temperature extremes, or high dissolved oxygen concentration 
(Bjorkman and Demmig, 1987). However, the test on carriers are made in absence of water, a stress condition 
frequently experienced by aeroterrestrial microalgae communities (Häubner et al., 2006), that can account for 
the reduction Fv/Fm ratio. In our tests, we have obtained the better data of photochemical efficiency during the 
first four days, even though the extension of colonization remained almost constant over the time course of the 
test. In the following days, the quantum yield decrease was relevant, and it is known that nitrate depletion can 
leads to a progressive inactivation of PSII reaction centres (Falkowski, 1992; Parkhill et al., 2001). On the 
other hand, the enhancement of NPQ, which is considered the main protection mechanism against 
photoxidative damage of photosynthetic machinery (Horton and Hague 1988), points to a stress condition 
experienced by algal cells attached to the carriers, that needs further experiments to be fully understood. Our 
results prompt us to develop a protocol based on image analysis and PAM fluorometry tests lasting seven 
days: it is not necessary to extend them to the second week. In this way, a very high number of strains and 
carriers could be assayed in a short time. Much work is necessary to fully develop this screening system, 
particularly more data on the effect of carriers texture and on biochemical mechanisms of adhesion of algal 
cells to the surfaces, that should be produced by interdisciplinary studies carried out by an integrated team of 
biologists, biochemists and engineers. 

Reference 

Björkman O., Demmig B.,1987, Photon yield of O2 evolution and chlorophyll fluorescence characteristics at 77 
K among vascular plants of diverse origins, Planta, 170(4), 489-504. 

Berner F., Heimann K., Sheehan M., 2014, Microalgal biofilms for biomass production, J. Appl. Phycol., 27(5), 
1793-1804. 

Chen X., Liu T., Wang Q., 2014, The growth of Scenedesmus sp. attachment on different materials surface, 
Microbial Cell Factories, 13(1), 142. 

Collos Y., Mornet F., Sciandra A., Waser N., Larson A., Harrison P.J., 1999, An optical method for the rapid 
measurement of micromolar concentrations of nitrate in marine phytoplankton cultures, J. Appl. Phycol., 
11, 179-184. 

Eilers P.H.C., Peeters J.C.H., 1998, A model for the relationship between light intensity and the rate of 
photosynthesis in phytoplankton, Ecological Modelling, 42, 199-215. 

Eggert, A., Häubner, N., Klausch, S., Karsten, U., Schumann, R., 2006, Quantification of algal biofilms 
colonizing building materials: chlorophyll-a measured by PAM fluorometry as a biomass parameter, 
Biofouling, 22, 79-90. 

77

http://link.springer.com/journal/425/170/4/page/1


Falkowski P.G., 1992, Molecular ecology of phytoplankton photosynthesis. Vol. 43: Primary productivity and 
biogeochemical cycles in the sea,. Eds. Falkowski P.G., Woodhead D.A., Vivirito K., Series Environmental 
Science Research, Springer, 47-67. 

Gargano I., Olivieri G., Spasiano D., Andreozzi R., Pollio A., Marotta R., D’Ambrosio N., Marzocchella A., 
2015, Kinetic characterization of the photosynthetic reaction centres in microalgae by means of 
fluorescence methodology, J. Biotechnol., 212, 1-10. 

Gross M., Wen Z., 2014, Yearlong evaluation of performance and durability of a pilot-scale revolving algal 
biofilm (RAB) cultivation system, Bioresource Technology, 171, 50-58. 

Hall M., Frank E., Holmes G., Pfahringer B., Reutemann P., Witten I.H., 2009, The WEKA data mining 
software: an update, ACM SIGKDD Explorations Newsletter 11(1). 
[http://dx.doi.org/10.1145/1656274.1656278] 

Häubner N., Schumann R., Karsten U., 2006, Aeroterrestrial microalgae growing in biofilms on facades-
response to temperature and water stress, Microb. Ecol., 51(3), 285-93. 

Hegewald E., 1997, Taxonomy and phylogeny of Scenedesmus, Algae, 12(4), 235-246. 
Hellebust J.A., 1974, Extracellular products, Ed. Steward N.D., Algal Physiology and Biochemistry, University 

of California Press, Berkeley, CA. 
Horton P., Hague A.,1988, Studies on the induction of chlorophyll fluorescence in isolated barley protoplasts. 

IV. Resolution of non-photochemical quenching, Biochimica et Biophysica Acta – Bioenergetics, 932, 107-
115. 

Irving T.E., Allen D.G., 2011, Species and material considerations in the formation and development of 
microalgal biofilms, Applied Microbiology and Biotechnology, 92(2), 283-294. 

Kaur D., Kaur Y., 2014, Various image segmentation techniques: A review, International Journal of Computer 
Science and Mobile Computing, 3(5), 809-814. 

Ketchum B.H., Redfield A.C., 1949, Some physical and chemical characteristics of algae growth in mass 
culture, Journal of Cellular and Comparative Physiology, 33(3), 281-299. 

Lavaud J., Rousseau B., Etienne A., 2000, Diatoms, a Transthylakoid proton gradient alone Is not sufficient to 
induce a non-photochemical fluorescence quenching, FEBS Lett., 523(1-3), 163-166. 

Liu T., Wang J., Hu Q., Cheng P., Ji B., Liu J., Gao L., 2013, Attached cultivation technology of microalgae for 
efficient biomass feedstock production, Bioresource technology, 127, 216-222. 

Marasco A., Nocerino S., Pinto G., Pollio A., Trojsi G., De Natale A., 2016, Weathering of a roman mosaic — 
A biological and quantitative study on in vitro colonization of calcareous tesserae by phototrophic 
microorganisms, PloS one, 11(10), e0164487. 

Markou G., 2014, Microalgal and cyanobacterial cultivation: The supply of nutrients, Water Research,186-202. 
Maxwell K., Johnson G., 2000, Chlorophyll fluorescence - A practical guide, J. Exper. Bot., 51(345), 659-668. 
Myklestad S.M., 1995, Release of extracellular products by phytoplankton with special emphasis on 

polysaccharides, Science of the total Environment, 165(1), 155-164. 
Parkhill J., Maillet G., Cullen J., 2001, Fluorescence-based maximal quantum yield for PSII as a diagnostic of 

nutrient stress, Journal of Phycology, 37(4), 517-529. 
Schindelin J., Arganda-Carreras I., Frise E., Kaynig V., Longair M., Pietzsch T., Preibisch S., Rueden C., 

Saalfeld S., Schmid B., Tinevez J.Y., White D.J., Hartenstein V., Eliceiri K., Tomancak P., Cardona A., 
2012, Fiji: an open-source platform for biological-image analysis, Nature Methods, 9(7), 676-682. 

von Werder J., Venzmer H., 2013, The potential of pulse amplitude modulation fluorometry for evaluating the 
resistance of building materials to algal growth, International Biodeterioration & Biodegradation, 84, 227-
235. 

78

https://www.google.it/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&ved=0ahUKEwiI-uD4idHRAhUIcRQKHUPnBVgQFggiMAA&url=http%3A%2F%2Flink.springer.com%2Fchapter%2F10.1007%252F978-1-4899-0762-2_4&usg=AFQjCNFkDwb54O2g4jsd7eTSKkKVClZiLQ&sig2=n-LcWjfaBwaPFT5biC0EyQ
http://link.springer.com/book/10.1007/978-1-4899-0762-2
http://link.springer.com/book/10.1007/978-1-4899-0762-2
http://link.springer.com/bookseries/5941
http://link.springer.com/bookseries/5941
https://www.ncbi.nlm.nih.gov/pubmed/?term=H%C3%A4ubner%20N%5BAuthor%5D&cauthor=true&cauthor_uid=16596441
https://www.ncbi.nlm.nih.gov/pubmed/?term=Schumann%20R%5BAuthor%5D&cauthor=true&cauthor_uid=16596441
https://www.ncbi.nlm.nih.gov/pubmed/?term=Karsten%20U%5BAuthor%5D&cauthor=true&cauthor_uid=16596441
https://www.ncbi.nlm.nih.gov/pubmed/16596441
https://scholar.google.it/citations?user=VJojlMoAAAAJ&hl=it&oi=sra
https://www.ncbi.nlm.nih.gov/labs/journals/febs-lett/
http://www.sciencedirect.com/science/journal/00431354
https://www.researchgate.net/journal/0022-3646_Journal_of_Phycology