NewBioWorld A Journal of Alumni Association of Biotechnology (2026) 8(1):83-93
REVIEW
ARTICLE
Microalgae:
A Promising Source of Biofuels
Tulsi
Ram Dadsena1, Janavy Sahu1, Sakshi Agrawal1,
Arvind Agrawal2*
1School of Studies in Life
Sciences, Pt. Ravishankar Shukla University, Raipur (CG) 492 010, India
2UGC-MMTTC, Pt. Ravishankar Shukla
University, Raipur (CG) 492 010, India
Authors Email- tulsiramdadsena10@outlook.com;
janavysahu@gmail.com; sakshi01agrawal01@gmail.com; dr.arvind02@gmail.com
*Corresponding Author Email- dr.arvind02@gmail.com
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ARTICLE INFORMATION
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ABSTRACT
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Article history:
Received
10 May 2026
Received in revised form
15 June 2026
Accepted
Keywords:
Microalgae;
Biofuels;
Fossil
fuels;
Greenhouse
gases;
Global
warming
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Global
warming and greenhouse gas emissions brought on by the widespread use of
fossil fuels are among the biggest issues facing the globe today. Fossil fuel
combustion releases toxic particles, gases, and heavy metals which are bad
for both the environment and people's health. This compels us to consider
carbon-neutral and environmentally friendly substitutes for fossil fuels.
Through photosynthesis, microalgae provide the potential to both effectively
create biofuels and simultaneously reduce greenhouse gases from the
environment. Moreover, unlike first- and second-generation biofuels, microalgae can be cultivated without
the need for conventional agricultural land. This triple behaviour makes the
microalgae one of the top contenders to fight the global warming.
This review compares the different generations of
biofuels and outlines the synthesis from microalgal sources and its
significance. We discuss different culture parameters that alters the
microbial oil quantity and quality. Microbial oils extracted from microalgae
can be increased to some extent to be feasible for the industrial
production by putting the cells into stress conditions and the
oil can aid in the development of biofuels like biodiesel and the
residual biomass to bioethanol. This strategy will significantly lessen
Reliance on fossil fuel resources while also lowering greenhouse gas
emissions.
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1. Introduction
It is now widely accepted that using fossil fuels is
not environmentally viable due to their enormous consumption and owing to
the rise in CO2 and other pollutants, such as heavy metals, in the
atmosphere (Chisti 2007). The increased usage of fossil fuels during the
Industrial Revolution has led to a notable rise in greenhouse gas (GHG) emissions,
which has resulted in global warming and air pollution. Major cities like New
Delhi, Beijing, Lima, and Karachi are seeing a rise in air pollution. The
atmosphere is subjected to millions of tons of fluorinated chemicals, mercury,
freon, and other harmful pollutants, as well as 150 million tons of SO2, 53
million tons of nitrogen oxides, and 20 billion tons of CO2 annually (Liu and
Li 2023). 90% of people living in cities are exposed to air pollution, with PM
2.5 levels over the WHO's recommended level of 10 μg/m3. The
International Agency for Cancer Research categorized external air contamination
as a human carcinogen in 2013. Degraded atmospheric conditions and air
pollution are linked to heart diseases, stroke, acute and chronic respiratory
diseases, and lung cancer. In 2016, 7 million people lost their breaths from
household and ambient air pollution. Indoor air pollution results in the deaths
of around 2.5 million individuals annually across the globe. Fossil fuel
resources accounts for 75% of emissions of heat-trapping gases on a
global scale and contributes heavily to local air pollution, causing 5
million premature deaths each year. Following the Industrial Revolution, the
majority of industries were primarily driven by steam and diesel engines, with
fossil fuels serving as the primary energy source. Between 2000 and 2019,
global CO2 emissions rose at the fastest pace recorded in human history,
contributing to 30.7% of total global emissions. Observational data indicates
that the global mean surface temperature (GMST) has been increasing, and this
pattern has been distinctly evident since 1950. In 1880, the GMST was −0.16˚C;
by 2021, it had risen to 0.84˚C, an increase of 1.0˚C. The average surface
temperature in the Northern Hemisphere rose by 1.42˚C from −0.28˚C in 1880 to
1.14˚C in 2021. The average surface temperature in the Southern Hemisphere rose
by 0.59˚C from −0.04˚C in 1880 to 0.55˚C in 2021. The GMST of 1.02˚C in 2020
was the highest temperature ever documented (Liu and Li 2023).
DOI: 10.52228/NBW-JAAB.2026-8-1-8
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Concerns about the scarcity of
fossil fuels, the rising cost of crude oil, energy security, and the increase
of global warming have sparked a global interest in biofuels and other
renewable energy sources. Carbon-neutral and renewable transport fuels are
vital for sustaining both the economy and the environment (Chisti 2007).
Utilizing unrefined vegetable oils as fuel might cause multiple engine issues,
including carbon deposits on the engine's head and piston, choking of the injectors,
and excessive engine wear. Many researchers have suggested using
transesterified oils, also known as biodiesel, to solve these issues as they
can significantly reduce the viscosity of the oil. Long-chain triglycerides
from oils undergo a process known as transesterification, producing fatty acid
methyl esters, referred to as FAME, which is the term for biodiesel. The two
most widely utilized forms of biofuel are biodiesel and bioethanol, which are
mostly made from lignocelluloses, seeds, and vegetable or microbial oils.
Diesel may be replaced with biodiesel, and petrol can be replaced with
bioethanol. Green hydrogen has also been used as the alternative of fossil
fuels; Dark fermentation has been shown as a most efficient technology for the
production of the green hydrogen (Vaswani et al. 2025). Additionally, water
hyacinth has also been successfully tested for the biohydrogen by Tandon et al.
(2019a) due to its high energy content.
2. Generations of biofuels
Biofuels
are divided into four forms as: first, second, third, and fourth-generation
biofuels (Malode et al. 2022).
1. First-generation biofuels
First-generation biofuels are derived from
edible resources including sugar, starch, vegetable oil (soybean, mustard,
coconut, palm, corn, rice, rapeseed, olive, and so forth), and animal fats
using traditional technology. The main benefits of the raw material from the
first-generation are its easily accessible yields and very straightforward
transformation process. Biodiesel, sometimes known as fatty acid methyl esters
chemically, is a fuel that is widely utilized in European nations and is
comparable to mineral diesel.
The limitations of the first-generation biofuels
include inability to adapt to different environmental conditions, high cost,
and limited development area prevent biodiesel from being produced from edible
raw materials. In 2006, China and India accounted for around 11 percent of the
global ethanol production, using a combination of wood, maize, and other
starches as feedstocks. Furthermore, when ethanol increases in fuel balance,
the amount of fossil fuel byproducts produced by the photosynthetic carbon
uptake by corn plants decreases.
The most prevalent worry about first-generation
biofuels today is that, as production capacities rise, they will compete with
agriculture for arable land needed to produce food. There may be significant
food shortages as a result of the growing demand on arable land now utilized
for food production, particularly within low- and middle-income nations where
more than 800 million individuals already face hunger and malnutrition.
Furthermore, heavy irrigation, fertilizer, and pesticide use, along with
intensive land use, can lead to serious environmental issues.
Fig.
1: Technique employed in the synthesis of first-generation biofuels (Malode et
al. 2022)
2.
Second-generation biofuels
Another name for the second-generation biofuels is
advanced biofuels. With the introduction of second-generation biofuels. Fuels
are meant to be produced from the woody portion of plants known as
lignocellulosic biomass, which does not interfere with food production. The
non-edible parts of corn or sugarcane, as well as agricultural residues, forest
harvesting residues, or wood processing waste like leaves, straw, wood chips,
or rice straws using Saccharomyces cerevisiae (Verma et al., 2020) are
some of the sources. These fuels are created via biochemical conversion
mechanisms or thermochemical reactions. The common thermochemical processes for
converting biomass into synoil and syngas are pyrolysis, gasification, and
liquefaction.
Second-generation biofuels, however, cannot yet be
generated profitably on a large scale due to the requirement of expensive
technologies involving pre-treatment with certain enzymes with the goal of
transforming the woody biomass into fermentable sugars (Dragone et al., 2010).
The necessity for land, water, and other resources to produce feedstock for
biofuels results in a number of negative outcomes. The alteration in land use
could lead to increased release of greenhouse gases and greater pressure
on water supplies, pollution of the air and water, and increased food
prices. Biofuels can produce even greater climate-impacting emissions
compared to certain fossil fuels, Subject to variations in
feedstock and the procedure used. The lignocellulosic waste has been also
used by Tandon et al. (2019b) and pH and temperature has been optimized for the
maximum yield.
Fig.
2: Process of production of second-generation biofuels (Malode et al. 2022)
3.
Third-generation biofuels
Third-generation biodiesel is the term for the
biodiesel made from leftover oils and microalgae. The main sources of
third-generation biodiesel include waste cooking oil, fat, fish oil, microalgal
oil and its derivatives. Microalgal species can accumulate high lipid content,
making them a possible future hotspot for third-generation biodiesel.
Cyanobacteria, and microalgae are examples of microorganisms that produce
third-generation biofuels. In a stressful environment, oleaginous bacteria and
microalgae start to store lipids in their bodies serving as an energy provider.
Catalysis and transesterification of extracted lipid and short chain alcohol
may assist in manufacturing of biodiesel. Third-generation biodiesel has
several important benefits, including less of an influence on nurseries,
increased development order and efficiency, a higher oil rate, and less of an
impact on food delivery. The abundance of potential benefits associated with
third-generation biodiesel overwhelms the drawbacks of previous generation
feedstocks, including their influence on the natural hierarchy, accessibility,
ecological boundary flexibility, and financial feasibility.
Microalgae are regarded as the ideal option for
producing biofuels and synthetics due to their high photosynthetic
transformation proficiency, quick development, less land requirements, and
resilience to harsh growth situations. Carbohydrates, and hydrocarbons are the
carbon sources that oleaginous microorganisms (such as yeast, fungus, and
microalgae) can use to make microbial oil, sometimes referred to as single cell
oil. Microbial oil is mostly composed of triglycerides composed of PUFA. On the
other hand, highly unsaturated fatty acids, such as C16 and C18, share chemical
similarities with vegetable oils, such as soybean, palm, and rapeseed oils.
These suggest that biodiesel made from microbial oil should have a generally
acceptable grade. According to microbiology, the oleaginous microorganisms that
produce lipid are classified into three distinct categories family groups: bacteria,
fungi (such as Molds and yeast), and microalgae. Of these, bacteria are less
competent of creating lipid since they can only produce certain lipid and PUFA.
That is why, microalgae and fungi are acknowledged to be the key lipid
producers.
Harnessing microalgae for the purpose of
biofuels production offers the several benefits when compared to
higher plants (Dragone et al., 2010):
(1) Besides their rapid growth, Microalgae produce
and store a considerable quantity of neutral lipids (20–50% dry mass of biomass);
(2) Microalgae cultivation is feasible throughout
the entire year under controlled or suitable environmental conditions, the oil
yield of microalgae cultures per unit area may surpass that of the best oilseed
crops;
(3) They require less water than terrestrial crops,
freshwater resources are not as burdened;
(4) There is
no requirement for pesticides or herbicide in the microalgae cultivation;
(5) With a significant lipid content, microalgae are
excellent carbon concentrators (Singh et al., 2024). Microalgae reduce
significant greenhouse gases by sequestering CO2 from flue gases
released by coal-powered energy plants and other sources (1-kilogram dry
biomass of algae utilises approximately 1.83 kilograms of CO2);
(6) Removal of NH4+, NO3-,
and PO43- from a range of wastewater sources as part of
effluent bioremediation.
(7) Since microalgae may be grown in saline,
brackish, or coastal waters on non-arable soil and can withstand stressful
conditions and require less nutrients, they do not compete with conventional
agriculture for resources;
4. Fourth-generation biofuels
In fourth-generation biofuels, biomass is produced
from crops or microalgae that have been genetically modified to absorb
substantial quantities of carbon. After that, the crops are turned into fuel.
Because the carbon involved in their production is removed from the
environment, several of these fuels are regarded as carbon negative. However,
for a variety of reasons, including a paucity of genomic data, the complexity
of transgenesis, and challenges in achieving a competence equilibrium between
metabolic and energy storage pathways, genetic alteration is not currently
feasible for all algal species. The simplest approach to lower costs, nutrient
usage, and water footprint is to increase production and lipid accumulation.
The productivity and lipid content of microalgae can be increased through the
widespread use of genome editing techniques.
Currently two different approaches have been used
for the fourth-generation biofuels:
1. Metabolic pathway engineering in
microorganisms, including cyanobacteria and microalgae, involves optimizing
growth rates, utilizing diverse carbon sources, and channelling metabolic flux
toward enhanced biofuel synthesis and elevated production efficiency.
2. Engineering of model organisms
with biosynthetic pathways originally present in natural producers, leveraging
their genetic accessibility.
A study conducted in Europe concluded that most
customers would accept genetically modified algae for synthesizing biofuels if
the systems' safety could be ensured (Cavelius et al., 2023).
Fig. 3: Process for production of
Third-generation Biofuels (Dragone
et al. 2010)
Table
1: Some of the manipulation techniques used in microalgae utilized for the
synthesis of fourth-generation biofuels (Moravvej et al., 2019)
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Microalgae species
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Manipulation techniques
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Result
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Chlamydomonas sp.
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Reduced antenna size
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Reduced Chlorophyll antenna cells permit greater
transmittance of light and better overall solar utilization by the microalgal
cell
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Chlamydomonas
reinhardtii
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Downregulated the expression of light harvesting complex
proteins using RNAi technology
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Conversion efficiency of solar energy to biomass increased
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Synechococcus
7002
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Deficiency of lactate dehydrogenase
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Hydrogen production increased 5-folds
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Chlamydomonas sp.
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ADP-glucose pyrophosphorylase inactivated
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TAGs production increased 10-folds
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Chlamydomonas
reinhardtii
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Downregulated a ferredoxin-NADP+ reductase
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Hydrogen production activity increased 2.5-folds
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Thalassiosira
pseudonana
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Knockdown of a multifunctional lipase/
phospholipase/ acyltransferase
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Lipid content increased up to 3-fold
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Table 2: Comparative Analysis of Various Biodiesel
Feedstocks (Chisti 2007)
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Crop
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Production of oil (L ha-1)
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Required land area (M ha)a
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Percentage used of US croplanda
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Corn
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172
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1540
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846
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Soybean
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446
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594
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326
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Canola
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1190
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223
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122
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Jatropha
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1892
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140
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77
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Coconut
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2689
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99
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54
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Oil palm
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5950
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45
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24
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Microalgaeb
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136900
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2
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1.1
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Microalgaec
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58700
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4.5
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2.5
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a To supply half of the
transportation fuel required in the United States.
b 70% oil (by weight) in
biomass.
c 30% oil (by weight) in
biomass.
To
supply merely half of the US's transportation fuel needs, 24% of all cropland
must be planted with oil palm, known for its high oil yield. It is obvious that
oil crops will not be able to substantially replace liquid fuels derived from
petroleum in the near future. If biodiesel is made from microalgae, this
scenario is drastically altered. It would take nearly 1 to 3% of all U.S.
cropland to produce enough algal biomass To fulfil half of the country's
transportation fuel requirements (Chisti 2007).
The
majority of the ongoing study is concentrated on a few fast-growing microalgal
species that have been shown to accumulate significant amounts of lipids,
albeit under certain circumstances. The common green algae species are Scenedesmus,
Chlamydomonas reinhardtii, Dunaliella salina, Botryococcus
braunii, (which grows slowly but can collect huge amounts of lipids), and
several Chlorella species. Although many microalgae strains have a high
lipid content, it is feasible to boost that concentration by optimizing
parameters that affect growth, such as temperature, salinity, light intensity,
nitrogen level control, CO2 concentration, and harvesting technique.
3.
Factors affecting quality of microalgal oils
The
culture parameters of holophytic microalgae, including light intensity,
temperature, pH, carbon dioxide supply, culture medium composition, growth
cycle, heavy metal concentration etc., have a direct impact on microalgal oil
quality (Ma et al., 2018).
1. Effect of light intensity:
Three
variables of light important to enable optimal microalgal growth are: 1.
Intensity 2. Spectral quality 3. Photoperiod.
According
to studies, green algae grow more readily under blue and red light because
these wavelengths are favoured by the pigments chlorophyll a and b,
which are important light-harvesting pigments (Singh and Singh, 2015).
Triglycerides
and other non-polar lipids are commonly used to make biodiesel. The synthesis
of non-polar lipids is favoured by high light intensity, whereas the synthesis
of polar lipids is favoured by low light intensity. Strong light preferentially
increases the triacylglycerol (TAG) content (Maltsev et al., 2021).
The light conditions in natural environments are highly varied and depend on a
range of factors, including the geographical latitude of the region, temporal
(daily and seasonal) variations in the solstice altitude, light scattering by
the atmosphere, water column, etc. Accordingly, microalgae are adapted to
various lighting conditions. Some species are found in highly shaded habitats,
for example, in the soil under the dense canopy of higher plants, above-water
and underwater caves, in deep water layers, and the other species are adapted
to grow in direct sunlight, for example, in polar, tropical deserts, on salt
marshes and various other open surfaces, where the light intensity can reach
2000 µmol m−2s−1. At low light levels, the rate of
photosynthesis increases almost linearly with increasing light intensity until
the region of saturating light is reached. A continued rise in the light
intensity may lead to the photo inhibition or ROS-mediated cellular injury to
the photosynthetic apparatus. Photon absorption is facilitated by
photopigments. A high-energy state is achieved by the excited pigment molecules
upon absorption of a light quantum. Photochemical changes take place because
they release energy when they return to their original condition. Each
microalgal photosystem contains a different set of light-harvesting pigments
that provide a unique absorption spectrum.
Table
3: Optimum light intensity values for the maximum growth rate of algae from
different taxonomic groups (Maltsev et al., 2021).
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Species and Strain
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Investigated light
intensity
(µmol/m2s)
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Optimum light intensity
for maximum growth
(µmol/m2s)
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Maximum growth rate
(per day)
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Dunaliella salina
(DF15, UTEX 2538)
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200, 500, 1000, 1500
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1000
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0.2 (DF15)
0.55(UTEX 2538)
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Dunaliella salina
(CCAP 19/30, DF17, DF40)
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200, 500, 1000, 1500
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1500
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1.3 (CCAP 19/30)
1.05 (DF17)
0.75 (DF40)
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Arthrospira fusiformis
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20-500
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330
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1.78
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Phormidium sp.
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40, 160
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160
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0.491
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Synechococcus sp.
PCC 11901
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75, 100, 150, 500, 660, 750
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660
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2.14 h (doubling time)
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Synechococcus sp.
UTEX 2973
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75, 100, 150, 500, 660, 750
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500
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1.93 h (doubling time)
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Chlorella zofingiensis
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150, 300
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150
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0.77
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2. Effect of salinity:
Change
in salinity causes osmotic stress, ion stress and changes of cellular ion
concentration. The algal cells can withstand a lower NaCl concentration,
allowing them to proliferate normally. However, when the NaCl concentration
rises, chlorophyll breakdown occurs, which results in cell death. Hence, the
microalga must have an optimum NaCl concentration to grow properly; growth rate
decreases at higher or lower concentrations (Rai et al., 2015). Marine
microalgae have extreme tolerance to changes in salinity. Dunaliella
sp., a marine microalga, grows with a salinity range of 0.05–5.5 M NaCl
(Mohanta et al., 2023). Researches on photosynthesis shows that the Hill
reaction, which produces adenosine triphosphate and flavin mononucleotide,
requires chloride ions. It's interesting to note that autotrophically growing Chlorella
sp. need higher chloride ions, as demonstrated by Eyster (1958). The study
conducted by Ben‐Amotz et al. (1985) revealed that Isochrysis sp.
cells cultured at 29 ppt had a differing profile of fatty acids from those
grown at 58 ppt. The cells had lower levels of polyunsaturated C18 and C22
fatty acids, while some C16 and C18 fatty acids were higher.
3. Effect of temperature and pH:
The
range of 16 to 27°C is ideal for the majority of microalgae growth; for
example, microalgae growth tends to slow down at conditions where the
temperature is less than 16°C and may be significantly impeded Under
temperatures exceeding 35°C. The degree of unsaturation of the fatty acids
generated generally has an inverse relationship with the culture temperature.
For instance, at 25°C, Chlorella vulgaris had a 14.7% lipid content,
while at 30°C, only roughly 5.9% was found (Ma et al., 2018). The cell can
perform photosynthesis at ideal growth temperatures without altering any of its
natural biochemical or physiological processes. Maximum growth rates for
mesophilic species are specified to be between 20 and 25°C; however, for
thermophilic strains (Chaetoceros, Anacystis nidulans), these
temperatures can rise to 40°C, and for psychrophilic strains (Asterionella
formosa), they can drop to 17°C.
The
literature suggests that when studying the same species, the ideal growth
temperatures can vary. The ideal temperature cursor may move in either
direction depending on the environment around it. When the NaCl content was
increased from 0.125 to 1.5 M, optimal growth temperature of Dunaliella
tertiolecta increased by 6°C (Ras et al., 2013). All metabolic
processes are influenced by temperature, and the ideal temperature for a specific
strain of algae will significantly impact the culture's potential productivity.
The photosynthesis rate, respiration and growth of microalgae all decline due
to imbalances between adenosine triphosphate (ATP) production and energy
demand, inactivation or denaturation of necessary proteins for photosynthesis
or stress on photosystem II activity when optimal temperatures are exceeded.
The fatty acid profile is also affected by temperature. Total unsaturated fatty
acids have been shown to decrease at high temperatures (Chaisutyakorn et al.,
2018).
The
culture pH is another important factor which influences the enzymatic activity
and synthesis of microalgae oils. In general, neutral or slightly acid
conditions favor the microalgal growth. The pH value of the actively growing
culture in the culture medium has to be maintained by simple aeration or
supplementation with extra CO2 since the pH increases with the
growth of microalgae as a result of the continuous consumption of CO2.
4. Effect of carbon dioxide:
The
Carbon dioxide concentration, an inorganic carbon source, controls the
development and lipid accumulation of microalgae. Low concentrations of CO2
can stimulate the microalgal growth while inhibiting the synthesis of fatty
acids; conversely, high concentrations of CO2 stimulate the
synthesis of fatty acids while influencing the desaturation and extension of
the carbon chain. Tsuzuki et al. (1990) reported that Chlorella vulgaris fatty
acid composition changed in response to the CO2 concentration during
growth. When cells were grown in conditions with high CO2, less
desaturation was seen. Conversely, the CO2 concentration had no
measurable influence on the fatty acid chain length. This study highlights
that, in addition to photosynthetic properties, membrane lipid composition is
influenced by ambient CO2 concentration. In different eukaryotic
microalgae, de novo carbonic anhydrase synthesis is induced under low CO2
concentrations, and a pyrenoid with a starch sheath develops. Compared to
water, carbon dioxide is much more soluble in fats and adsorbs quickly. Thus,
one of the reactions that arises in response to the decrease in CO2
concentration is the change in the degree of unsaturation of the fatty acyl
chain in the membranes.
5. Effect of culture medium composition:
The
inorganic components that make up an algal cell must be supplied by the growing
medium. Nitrogen (N) and phosphorus (P) are examples of essential elements. The
microalgal biomass's approximate molecular formula, CO0.48H1.83N0.11P0.01,
(Chisti, 2007) can be used to calculate the minimum nutritional requirements.
Most nitrogen is given as nitrate (NO3-), although urea
and ammonia (NH4+) are also frequently utilized. The best
nitrogen source is urea because it produces larger yields at the same nitrogen
content and results in less pH variations in the medium during algal
development. Conversely, given that the added phosphates bind with metal ions,
some of the added P is not bio-available and must be supplied in large excess
(Dragone et al. 2010).
Depending
on which nutrient is limited and to what extent, algae can exhibit significant
variation in their biochemical composition when under conditions of nutrient
limitation. Under ideal temperature and pH levels, the growth rate of algae is
generally proportional to the uptake rate of the most limiting nutrient, and
this relationship is typically represented by the Michaelis-Menten equation
(Baiee and Salman, 2016). The lipid content and composition of autotrophic
microalgae are significantly influenced by nitrogen and phosphorus in their
culture medium. Of these, the effect of nitrogen is more evident on the fatty
acid metabolism of autotrophic microalgae, as evidenced by the fact that
nitrogen-limiting conditions can increase total lipid content. Most notably,
when microalgae are exposed to alternating conditions of sufficient and limited
nitrogen, the composition of their lipid changes from free fatty acids to
triglycerides. Microalgal cells are supported by starch synthesis when the
culture medium has a high nitrogen content. However, phosphorus in the culture
media also plays a role in the production of fatty acids. Research has
demonstrated that Scenedesmus obliquus can reach up to 30% of its total
lipid content when it is subjected to phosphorus limitation, while it can reach
up to 53% of its total lipid content when it is subjected to both phosphorus
and nitrogen limitation simultaneously.
6. Effect of growth cycle
The
fatty acid composition and lipid content of microalgae can change as they grow
through different phases. During the stationary phase, microalgae can reach
their maximum lipid content. TAG content decreases in most microalgae during
the logarithmic phase of growth and increases during the stationary phase,
suggesting that TAGs serve as storage lipids (Khozin-Goldberg et al., 2005;
Volkman et al., 1989). The growth phase of microalgae could be a useful
variable for the content enrichment of essential fatty acid (EFA) rich lipids,
according to a study conducted by Li et al. (2014) on six important diet
microalgae (Chlorella sp., Nannochloropsis oculata, Nannochloropsis sp.,
Isochrysis galbana, Phaeodactylum tricornutum Bohlin and Chaetoceros
calcitrans). For Nannochloropsis sp. and N. oculata, a
higher content of eicosapentaenoic acid (EPA-rich)
diacylglyceryl-trimethylhomoserine (DGTS) and a higher content of
docosahexaenoic acid (DHA-rich) lipids could be obtained at the end of
stationary phase, respectively. Nonetheless, EPA/AA-rich lipids were primarily
found in TAG and monogalactosyl diacylglycerol (MGDG), respectively, in both P.
tricornutum and C. calcitrans. Furthermore, for P. tricornutum,
a higher concentration of EPA-rich TAG might be obtained at the end of the
stationary phase. At the conclusion of the stationary phase, C. calcitrans
may have a higher content of EPA-rich MGDG.
7. Effect of Heavy metals:
Microalgae
exhibit a high degree of sensitivity to environmental fluctuations. Even trace
concentrations of various organic and inorganic pollutants, including heavy
metals, can induce notable alterations in their overall metabolic activity.
Owing to this sensitivity, microalgae are frequently employed as biological
indicators for assessing the potential toxicity of heavy metals (Chouteau et
al. 2004; Durrieu et al. 2011; Torres et al. 2000). Resistance to heavy metals
in microalgae may stem from their capacity to limit metal uptake. This can be
facilitated through the adsorption of toxic metal ions onto cell-associated
substances or structural components of the cell wall, as well as through the
secretion of metal-chelating organic compounds into the surrounding
environment.
4.
Production of biodiesel from microalgal oil:
Microalgal
lipids (TAGs) can be directly converted into FAMEs using the process of
transesterification (Griffiths et al., 2010).
Fig. 4: Process of transesterification
Transesterification
is a chemical process involving the exchange of organic alkyl groups between an
ester and an alcohol (R1, R2, R3) of microalgal or vegetable/plant oil with the
methyl group of methyl alcohol. Such reactions are typically facilitated by
either acid or base catalysts.
Initiatives
for biodiesel were launched in India in 2001 using second-generation
feedstocks, such as inedible seeds like Jatropha. The National Mission
on Biodiesel was established in 2003 to promote the manufacture of biodiesel by
combining jatropha seeds with fuel. With a fixed price of Rs. 25/L in 2003 that
rose to Rs. 26.50/L by 2008, the goal was to achieve 20% blending by 2011–2012.
5.
Four types of microalgae cultivation based on mode of nutrition can be adopted:
1. Photoautotrophic:
This
pathway uses light and CO2 to produce energy and cellular carbon
i.e. photosynthesis. The requirement of carbon is supplied by inorganic carbon
sources like CO2, Na2CO3, NaHCO3
etc.
2. Heterotrophic:
In
this pathway energy and carbon is produced from the organic carbon source like
glucose and acetate and transformed into carbon intermediate in the main
metabolic pathways. Several algal strains e.g. Chlorella protothecoides,
Galdieria sulphuraria and Neochloris oleoabundans Have been
investigated under heterotrophic conditions for enhanced biomass and fatty acid
production. (Morales-Sánchez et al., 2015).
3. Mixotrophic:
Under
mixotrophic cultivation, photo-autotrophy and heterotrophy take place
simultaneously because the microalgae use both organic carbon sources and
inorganic CO2 in the presence of light. While organic compounds are
assimilated through aerobic respiration, which is influenced by the
availability of organic carbon, CO2 is fixed through photosynthesis,
which is dependent on illumination. Mixotrophic cultivation has higher growth
rates than either heterotrophic and photo-autotrophic regimes by shortening
growth cycles, prolonged exponential growth phase and producing higher biomass
(Lowrey et al., 2015).
4. Photoheterotrophic:
Energy
derived by photosynthesis is used for the effective metabolism of organic
carbon source. the primary carbon source being organic carbon; decreased
reliance on photosynthesis; and enhanced organic carbon metabolism through the
use of light-driven ATP (Cheng et al.,2022).
Fig. 5: Types of mode of nutrition for the microalgal growth
(Perez-Garcia & Bashan, 2015)
6.
Microalgal mass cultivation
The
following two practicable methods are developed for the mass cultivation of the
microalgae:
1. Raceway ponds
A
raceway pond is characterized by a closed-loop flow channel, usually with a
depth of approximately 0.3 meters. A paddlewheel creates mixing and
circulation. Baffles located inside the circulation channel direct the flow
around bends. Concrete is generally used to build raceway channels, which may
also have white plastic lining. The culture is continuously fed throughout the
day upstream of the paddlewheel, at the point of flow initiation. Upon
completion of the circulation loop, the culture broth is collected downstream
of the paddlewheel. To avoid sedimentation, the paddlewheel runs
continuously. Cooling in raceway ponds is achieved only through evaporation.
Seasons and the diurnal cycle both affect temperature fluctuations. Water can
evaporate at a considerable rate. Raceways use carbon dioxide far less
efficiently due to large loss to the atmosphere. Contamination
of undesirable algae and microbes that consume algae has an impact on
productivity. Because raceways are not well mixed and cannot support an
optically dark zone, the biomass concentration stays low. Due to minimal
infrastructure and operational requirements, raceway ponds offer a more economical
option than photobioreactors. Nevertheless, this cost advantage is offset by
their comparatively low biomass yield (Chisti 2007).
2. Photobioreactors
Photobioreactors
(PBRs) allow for the prolonged cultivation of microalgae, often enabling the
growth of a single species in isolation. These systems have demonstrated
success in producing substantial volumes of microalgal biomass. Structurally, a
photobioreactor comprises a series of transparent chambers commonly fabricated
from glass or plastic arranged to form a tubular configuration known as the
solar collector, which captures sunlight efficiently. The diameter of these
chambers is typically constrained due to limited light penetration in dense
cultures, a factor that must be optimized to maintain high biomass
productivity. To prevent biomass sedimentation, photobioreactors maintain a
highly turbulent flow environment, generated either by mechanical pumps or by
using airlift systems, which are gentler. Additionally, PBRs are equipped with
control systems such as pH regulators, degassers, and temperature controllers
to sustain the optimal conditions necessary for microalgal growth (Chisti
2007).
Conclusion
The
growing population of the world has increased the demand of energy source,
which is primarily fossil fuels. But the overconsumption of fossil fuels brings
many challenges which has to be overcome as efficiently as possible. The best
alternative to the fossil fuels are the biofuels produced by various
techniques, out of which microalgae is proved to be the most promising source
as it can produce large amounts of biofuels while simultaneously reducing the
greenhouse gases. We need to study microalgae extensively for its potential to
produce oil and how to increase its production more for a better environment.
Conflict
of interest Author declares that there
is no conflict of interest.
Funding
information not applicable.
Ethical
approval not applicable.
References
Baiee MA, Salman JM (2016) Effect of phosphorus
concentration and light intensity on protein content of microalga Chlorella
vulgaris. Mesopotamia Environmental Journal, 2(2): 75-86.
Ben‐Amotz A, Tornabene TG, Thomas WH (1985) Chemical
profile of selected species of microalgae with emphasis on lipids. Journal
of Phycology, 21(1): 72-81.
Cavelius P, Engelhart-Straub S, Mehlmer N, Lercher J,
Awad D, Brück T (2023) The potential of biofuels from first to fourth
generation. PLoS Biology, 21(3).
Chaisutyakorn P, Praiboon J, Kaewsuralikhit C (2018) The
effect of temperature on growth and lipid and fatty acid composition on marine
microalgae used for biodiesel production. Journal of Applied
Phycology, 30: 37-45.
Cheng CL, Lo YC, Huang KL, Nagarajan D, Chen CY, Lee DJ,
Chang JS (2022) Effect of pH on biomass production and carbohydrate
accumulation of Chlorella vulgaris JSC-6 under autotrophic, mixotrophic,
and photoheterotrophic cultivation. Bioresource technology, 351:
127021.
Chisti Y (2007) Biodiesel from microalgae. Biotechnology
advances, 25(3): 294-306.
Chouteau C, Dzyadevych S, Chovelon JM, Durrieu C (2004)
Development of novel conductometric biosensors based on immobilised whole cell Chlorella
vulgaris microalgae. Biosensors and Bioelectronics, 19(9):
1089-1096.
Dragone G, Fernandes B, Vicente AA, Teixeira JA (2010)
Third generation biofuels from microalgae. Formatex Research Center, 1355-1366.
Durrieu C, Guedri H, Fremion F, Volatier L (2011)
Unicellular algae used as biosensors for chemical detection in Mediterranean
lagoon and coastal waters. Research in microbiology, 162(9): 908-914.
Eyster C (1958) Chloride effect on the growth of Chlorella
pyrenoidosa. Nature, 181(4616): 1141-1142.
Griffiths MJ, Van Hille RP, Harrison ST L (2010)
Selection of direct transesterification as the preferred method for assay of
fatty acid content of microalgae. Lipids, 45: 1053-1060.
Khozin-Goldberg I, Shrestha P, Cohen Z
(2005) Mobilization of arachidonyl moieties from triacylglycerols into
chloroplastic lipids following recovery from nitrogen starvation of the
microalga Parietochloris incisa. Biochimica et Biophysica Acta
(BBA)-Molecular and Cell Biology of Lipids, 1738(1-3): 63-71.
Li S, Xu J, Chen J, Chen J, Zhou C, Yan X (2014) The
major lipid changes of some important diet microalgae during the entire growth
phase. Aquaculture, 428: 104-110.
Liu C, Li Q (2023) Air pollution, global warming and
difficulties to replace fossil fuel with renewable energy. Atmospheric and
Climate Sciences, 13(4): 526-538.
Lowrey J, Brooks MS, McGinn PJ (2015) Heterotrophic and
mixotrophic cultivation of microalgae for biodiesel production in agricultural
wastewaters and associated challenges—a critical review. Journal of
applied phycology, 27: 1485-1498.
Ma Y, Gao Z, Wang Q, Liu Y (2018) Biodiesels from
microbial oils: opportunity and challenges. Bioresource
technology, 263: 631-641.
Malode SJ, Gaddi SAM, Kamble PJ, Nalwad AA, Muddapur UM,
Shetti NP (2022) Recent evolutionary trends in the production of
biofuels. Materials Science for Energy Technologies, 5: 262-277.
Maltsev Y, Maltseva K, Kulikovskiy M, Maltseva S (2021)
Influence of light conditions on microalgae growth and content of lipids,
carotenoids, and fatty acid composition. Biology, 10(10): 1060.
Maximizing Lipid Production in a Hypersaline Microalga, Dunaliella
salina. BioEnergy Research, 16(4): 2512-2528.
Morales-Sánchez D, Martinez-Rodriguez OA, Kyndt J,
Martinez A (2015) Heterotrophic growth of microalgae: metabolic
aspects. World Journal of Microbiology and Biotechnology, 31: 1-9.
Moravvej Z, Makarem MA, Rahimpour MR (2019) The fourth
generation of biofuel. In: Basile A, Dalena F (eds) Second and third generation
of feedstocks. Elsevier, pp 557-597.
Perez-Garcia O, Bashan Y (2015) Microalgal Heterotrophic
and Mixotrophic Culturing for Bio-refining: From Metabolic Routes to
Techno-economics. In: Prokop A, Bajpai R, Zappi M (eds) Algal Biorefineries.
Springer, Cham., pp 61-131.
Rai MP, Gautom T, Sharma N (2015) Effect of salinity, pH,
light intensity on growth and lipid production of microalgae for bioenergy
application. Online Journal of Biological Sciences, 15(4): 260.
Ras M, Steyer JP, Bernard O (2013) Temperature effect on
microalgae: a crucial factor for outdoor production. Reviews in
environmental science and biotechnology, 12(2): 153-164.
Singh S, Singh A, Singh S, Prasad N, Singh P, Asthana RK
(2024) IAA induced biomass and lipid overproduction in microalga via two-stage
cultivation strategy: Characterization using FTIR/CHNS/TGA/DTG and 1H-NMR for
bioenergy potential. Energy Conversion and Management, 311: 118546.
Singh SP, Singh P (2015) Effect of temperature and light
on the growth of algae species: A review. Renewable and sustainable energy
reviews, 50: 431-444.
Tandon M, Jadhav SK, Tiwari KL (2019b) Optimization of pH
and temperature for efficient bio-hydrogen production from lignocellulosic
waste. NewBioWorld A Journal of Alumni Association of Biotechnology
1(2):28-32.DOI: https://doi.org/10.52228/NBW-JAAB.2019-1-2-6
Tandon M, Thakur V, Sao K, Jadhav SK (2019a) Water
hyacinth producing bio-hydrogen by Klebsiella oxytoca ATCC 13182 and
their optimization. NewBioWorld A Journal of Alumni Association of
Biotechnology, 1(1): 1-4.DOI: https://doi.org/10.52228/NBW-JAAB.2019-1-1-1
Torres E, Cid A, Herrero C, Abalde J (2000) Effect of
cadmium on growth, ATP content, carbon fixation and ultrastructure in the
marine diatom Phaeodactylum tricornutum Bohlin. Water, Air, and Soil
Pollution, 117: 1-14.
Tsuzuki M, Ohnuma E, Sato N, Takaku T, Kawaguchi A (1990)
Effects of CO2 concentration during growth on fatty acid composition
in microalgae. Plant physiology, 93(3): 851-856.
Vaswani P, Sarkar S, Kaur P (2025) Dark Fermentation of
Agricultural Residues for Sustainable Hydrogen Production: Advances and Future
Perspectives. NewBioWorld A Journal of Alumni Association of Biotechnology,
7(2): 28-56. DOI: https://doi.org/10.52228/NBW-JAAB.2025-7-2-5
Verma L, Verma D, Tiwari S, Jadhav SK (2020) Production
of Bioethanol from Rice straw by Saccharomyces cerevisiae. NewBioWorld A
Journal of Alumni Association of Biotechnology, 2(2): 1-4. DOI: https://doi.org/10.52228/NBW-JAAB.2020-2-2-1
Volkman JK, Jeffrey SW, Nichols PD, Rogers GI, Garland CD
(1989) Fatty acid and lipid composition of 10 species of microalgae used in
mariculture. Journal of experimental marine biology and
ecology, 128(3): 219-240.