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"Marine algae Identification."
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Seaweeds of the world : a guide to every order
Seaweeds are astoundingly diverse. They're found along the shallows of beaches and have been recorded living at depths of more than 800 feet; they can be microscopic or grow into giants many meters long. They're incredibly efficient at using the materials found in the ocean and are increasingly used in the human world, in applications from food to fuel. They're beautiful, too, with their undulating shapes anchored to the sea floor or drifting on the surface. Seaweeds aren't plants: they're algae, part of a huge and largely unfamiliar group of aquatic organisms. 'Seaweeds of the World' makes sense of their complicated world, differentiating between the three main groups - red, green, and brown - and delving into their complex reproductive systems.
Harmful Australian Marine Microalgae
by
Hallegraeff, Gustaaf M
in
Microalgae-Australia-Identification
,
Toxic marine algae-Australia-Identification
2024
Algal blooms have the potential to wipe out fish farms virtually overnight. Contamination of seafoods with algal toxins can poison human consumers of fish and shellfish. During the past two decades, globally there have been significant increases in economic loss and human health impact due to harmful algal blooms.Harmful Australian Marine Microalgae offers fish and shellfish farmers information on how to effectively identify and monitor for the presence of algal species and take the appropriate species-specific countermeasures. Species descriptions are accompanied by a summary of the known distribution of the alga, its toxicology and, where available, suggestions for countermeasures. The book includes line drawings, light micrographs and electron micrographs to aid identification, as well as references and resources for further information. This guide will be valuable to fisheries and public health officials as well as all those involved in environmental water quality assessment.
Microalgae-Derived Pigments for the Food Industry
2023
In the food industry, manufacturers and customers have paid more attention to natural pigments instead of the synthetic counterparts for their excellent coloring ability and healthy properties. Microalgae are proven as one of the major photosynthesizers of naturally derived commercial pigments, gaining higher value in the global food pigment market. Microalgae-derived pigments, especially chlorophylls, carotenoids and phycobiliproteins, have unique colors and molecular structures, respectively, and show different physiological activities and health effects in the human body. This review provides recent updates on characteristics, application fields, stability in production and extraction processes of chlorophylls, carotenoids and phycobiliproteins to standardize and analyze their commercial production from microalgae. Potential food commodities for the pigment as eco-friendly colorants, nutraceuticals, and antioxidants are summarized for the target products. Then, recent cultivation strategies, metabolic and genomic designs are presented for high pigment productivity. Technical bottlenecks of downstream processing are discussed for improved stability and bioaccessibility during production. The production strategies of microalgal pigments have been exploited to varying degrees, with some already being applied at scale while others remain at the laboratory level. Finally, some factors affecting their global market value and future prospects are proposed. The microalgae-derived pigments have great potential in the food industry due to their high nutritional value and competitive production cost.
Journal Article
A Critical Comparison of the Advanced Extraction Techniques Applied to Obtain Health-Promoting Compounds from Seaweeds
2022
Marine macroalgae are rich in bioactive compounds that can be applied in several fields, mainly food, cosmetics, and medicine. The health-promoting effects of bioactive compounds, such as polyphenols, polysaccharides, carotenoids, proteins, and fatty acids, have been increasingly explored, especially regarding their antioxidant activity and improvement in human health. To extract these valuable compounds, advanced technologies that include Supercritical-Fluid Extraction (SFE), Pressurised-Liquid Extraction (PLE), Ultrasound-Assisted Extraction (UAE), Microwave-Assisted Extraction (MAE), Enzyme-Assisted Extraction (EAE), Ultrasound-Microwave-Assisted Extraction (UMAE) and Liquefied Gas Extraction (LGE) have been assessed due to their notable advantages over the conventional methods (Solid–Liquid and Soxhlet extraction). These advanced techniques are considerably influenced by different extraction parameters such as temperature, pressure, type of solvent, extraction time, solvent:solid material ratio, power (MAE, UAE, and UMAE), enzymes used (EAE), and factors related to the macroalgae matrix itself. Optimizing these process parameters for each method is critical to obtain better efficiency results for the targeted bioactive compounds. Macroalgae are natural sources with undeniable beneficial effects on human health. In this context, optimising the extraction techniques discussed in this review should prioritise exploiting these valuable resources’ wide range of bioactive properties.
Journal Article
The need to employ reliable and reproducible species identifications in coralline algal research
2020
Coralline algae perform important ecological roles in nearshore marine ecosystems globally by promoting the settlement of invertebrate larvae and enhancing biodiversity by creating habitat. However, these roles are severely threatened by global environmental changes. Most coralline algae are extremely difficult to identify, and DNA sequencing has revealed rampant inaccuracy of morpho-anatomical approaches to distinguish species, and even genera. If appropriate identification methods are not reported, or even used, we will be left with an uninterpretable body of literature where the species-specific biology of coralline algae cannot be validated. This will make it difficult to determine the impact a changing ocean may have on these ecologically important species. We reveal the magnitude of the issue in coralline algal research—both the identification methods used and the reporting of identification protocols. An analysis of 341 articles over the past decade revealed that only 7.6% used molecular methods, with over 70% not reporting any details of how species were identified. While many coralline algal taxonomists understand that the majority of species cannot be identified morphologically, this message has not disseminated to the ecological and physiological community. We provide a series of guidelines for conducting DNA-based identifications and strongly recommend the use of these methods over less informative morpho-anatomical techniques. Most importantly, the methods of identification should be adequately reported. Without following these guidelines, research on coralline algae runs the risk of collecting uninterpretable data, and conducting irreproducible science, slowing our ability to determine how these important species will respond to future ocean conditions.
Journal Article
Evaluation of selected tropical marine microalgal cultures for use in biophotovoltaic platforms
2024
In this study, the bioelectrical power generation potential of four tropical marine microalgal strains native to Malaysia was investigated using BPV platforms.
Chlorella
UMACC 258 produced the highest power density (0.108 mW m
−2
), followed by
Halamphora subtropica
UMACC 370 (0.090 mW m
−2
),
Synechococcus
UMACC 371 (0.065 mW m
−2
) and
Parachlorella
UMACC 245 (0.017 mW m
−2
). The chlorophyll-a (chl-a) content was examined to have a linear positive relationship with the power density (
p
< 0.05). The photosynthetic performance of strains was studied using the pulse-amplitude modulation (PAM) fluorometer; parameters measured include the following: maximum quantum efficiency (
F
v
/
F
m
), alpha (
α
), maximum relative electron transport rate (rETR
max
), photo-adaptive index (
E
k
) and non-photochemical quenching (NPQ). The
F
v
/
F
m
values of all strains, except
Synechococcus
UMACC 371, ranged between 0.37 and 0.50 during exponential and stationary growth phases, suggesting their general health during those periods. The low
F
v
/
F
m
value of
Synechococcus
UMACC 371 was possibly caused by the presence of background fluorescence from phycobilisomes or phycobiliproteins. Electrochemical studies via cyclic voltammetry (CV) suggest the presence of electrochemically active proteins on the cellular surface of strains on the carbon anode of the BPV platform, while morphological studies via field emission scanning electron microscope (FESEM) imaging verify the biocompatibility of the biofilms on the carbon anode.
Key points
• Maximum power output of 0.108 mW m
−2
is recorded by Chlorella UMACC 258
• There is a positive correlation between chl-a content and power output
• Proven biocompatibility between biofilms and carbon anode sans exogenous mediators
Journal Article
High diversity of coralline algae in New Zealand revealed: Knowledge gaps and implications for future research
by
Twist, Brenton A.
,
Nelson, Wendy A.
,
Jeong, So Young
in
Acidification
,
Algae
,
Aquatic habitats
2019
Documents the diversity and distribution of coralline algae (Corallinophycideae) in the New Zealand region using DNA based phylogenetic methods. Examines this diversity in a broader global context, discussing the implications and direction for future coralline algal research. Source: National Library of New Zealand Te Puna Matauranga o Aotearoa, licensed by the Department of Internal Affairs for re-use under the Creative Commons Attribution 3.0 New Zealand Licence.
Journal Article
Ostreopsis cf. ovata abundances on different benthic substrata: how to compare them?
2024
In the framework of benthic harmful algal bloom monitoring, the most common sampling strategy is based on the collection of macroalgae, and the abundance of epiphytic microalgae are mainly expressed as cells g
−1
macroalgal fresh weight (fw). However, this methodology has some inherent problems, due to (i) the thallus-specific weights that markedly differ among algal species, (ii) the thallus architecture, and (iii) the production of allelopathic compounds that affects the epiphyte abundances among macroalgae, irrespective of the available colonizable surface. This study proposes a method to compare the abundances of
Ostreopsis
cf.
ovata
cells on different substrata, using a conversion factor that converts the abundances expressed as cells g
−1
fw (or dry weight) to cells cm
−2
. Expressing abundances in terms of cells cm
−2
, the abundances can be compared (i) among different macroalgal species and (ii) between macroalgae and other substrata (such as rocks, pebbles, or shellfish shells). We also propose to normalize abundances when different macroalgae are sampled throughout the bloom period, considering the different epiphyte loads of different macroalgal species regardless of the available surface area.
Journal Article
Purification and Screening of the Antialgal Activity of Seaweed Extracts and a New Glycolipid Derivative against Two Ichthyotoxic Red Tide Microalgae Amphidinium carterae and Karenia mikimotoi
2024
Ichthyotoxic red tide is a problem that the world is facing and needs to solve. The use of antialgal compounds from marine macroalgae to suppress ichthyotoxic red tide is considered a promising biological control method. Antialgal substances were screened and isolated from Bangia fusco-purpurea, Gelidium amansii, Gloiopeltis furcate, Hizikia fusifarme, Laminaria japonica, Palmaria palmata, and Sargassum sp. to obtain new materials for the development of algaecides against ichthyotoxic red tide microalgae using bioactivity-guided isolation methods. The fractions of seven macroalgae exhibited selective inhibitory activities against Amphidinium carterae and Karenia mikimotoi, of which the ethyl acetate fractions had the strongest and broadest antialgal activities for the two tested red tide microalgae. Their inhibitory effects on A. carterae and K. mikimotoi were even stronger than that of potassium dichromate, such as ethyl acetate fractions of B. purpurea, H. fusifarme, and Sargassum sp. Thin-layer chromatography and ultraviolet spectroscopy were further carried out to screen the ethyl acetate fraction of Sargassum sp. Finally, a new glycolipid derivative, 2-O-eicosanoyl-3-O-(6-amino-6-deoxy)-β-D-glucopyranosyl-glycerol, was isolated and identified from Sargassum sp., and it was isolated for the first time from marine macroalgae. The significant antialgal effects of 2-O-eicosanoyl-3-O-(6-amino-6-deoxy)-β-D-glucopyranosyl-glycerol on A. carterae and K. mikimotoi were determined.
Journal Article
MARIDA: A benchmark for Marine Debris detection from Sentinel-2 remote sensing data
by
Karantzalos, Konstantinos
,
Raitsos, Dionysios E.
,
Mikeli, Paraskevi
in
Algae
,
Algorithms
,
Annotations
2022
Currently, a significant amount of research is focused on detecting Marine Debris and assessing its spectral behaviour via remote sensing, ultimately aiming at new operational monitoring solutions. Here, we introduce a Marine Debris Archive (MARIDA), as a benchmark dataset for developing and evaluating Machine Learning (ML) algorithms capable of detecting Marine Debris. MARIDA is the first dataset based on the multispectral Sentinel-2 (S2) satellite data, which distinguishes Marine Debris from various marine features that co-exist, including Sargassum macroalgae , Ships , Natural Organic Material , Waves , Wakes , Foam , dissimilar water types (i.e., Clear , Turbid Water , Sediment-Laden Water , Shallow Water ), and Clouds . We provide annotations (georeferenced polygons/ pixels) from verified plastic debris events in several geographical regions globally, during different seasons, years and sea state conditions. A detailed spectral and statistical analysis of the MARIDA dataset is presented along with well-established ML baselines for weakly supervised semantic segmentation and multi-label classification tasks. MARIDA is an open-access dataset which enables the research community to explore the spectral behaviour of certain floating materials, sea state features and water types, to develop and evaluate Marine Debris detection solutions based on artificial intelligence and deep learning architectures, as well as satellite pre-processing pipelines.
Journal Article