SciELO - Scientific Electronic Library Online

 
vol.49Where are resilience-based management strategies appropriate for coral reefs? Mapping environmental conditions and trends in coral cover in Guam and American SamoaSpatiotemporal variation of harmful phytoplankton in recreational beaches in Campeche, southeastern Gulf of Mexico author indexsubject indexsearch form
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • Have no similar articlesSimilars in SciELO

Share


Ciencias marinas

Print version ISSN 0185-3880

Cienc. mar vol.49  Ensenada Jan./Dec. 2023  Epub Mar 08, 2024

https://doi.org/10.7773/cm.y2023.3381 

Articles

Effect of 4 microalgal diets on the proximal composition, chlorophyll concentration, and total carotenoid content in Artemia franciscana

Martha I Millán-Almaraz1 

Diana J López-Peraza2 

Mario Nieves-Soto2 

Mario M Peraza-Yee1 

1Facultad de Medicina Veterinaria y Zootecnia, Universidad Autónoma de Sinaloa, 80260, Culiacán Rosales, Sinaloa, Mexico.

2Facultad de Ciencias del Mar, Universidad Autónoma de Sinaloa, 82000 Mazatlán, Sinaloa, Mexico.


Abstract

Microalgae are the primary source of food for Artemia franciscana. In turn, Artemia serve as live food for various species in culture. The chemical composition of Artemia is of great importance because it affects the nutritional quality of the organisms produced in aquaculture systems. For this reason, the present study aimed to characterize the nutritional value, proximal composition, concentration of chlorophyll a and b, and total carotenoid content in the microalgae Thalassiosira weissflogii, Chaetoceros muelleri, Tetraselmis suecica, and Nannochloropsis sp., which were used to feed juvenile A. franciscana for 6 h. Artemia juveniles fed with these microalgae species exhibited higher concentrations of proteins, carbohydrates, lipids, chlorophyll a and b, and total carotenoids than those in the control. The organisms fed with Tetraselmis suecica presented the highest content of chlorophyll b, while those fed with Thalassiosira weissflogii and Chaetoceros muelleri showed the highest values of total carotenoids and chlorophyll a.

Key words: Artemia; microalgae; proximal composition; chlorophylls; carotenoids

Resumen

Las microalgas son la principal fuente de alimento de Artemia franciscana. A su vez, Artemia sirve como alimento vivo para diversas especies en cultivo. La composición química de Artemia es de gran importancia porque afecta la calidad nutricional de los organismos producidos en los sistemas acuícolas. Por esta razón, el presente estudio tuvo como objetivo caracterizar el valor nutricional, composición proximal, concentración de clorofila a y b y contenido total de carotenoides en las microalgas Thalassiosira weissflogii, Chaetoceros muelleri, Tetraselmis suecica y Nannochloropsis sp., que fueron utilizadas para alimentar a juveniles de A. franciscana durante 6 h. Los juveniles de Artemia alimentados con estas especies de microalgas exhibieron concentraciones más altas de proteínas, carbohidratos, lípidos, clorofila a y b y carotenoides totales que los del control. Los organismos alimentados con Tetraselmis suecica presentaron el mayor contenido de clorofila b, mientras que los alimentados con Thalassiosira weissflogii y Chaetoceros muelleri mostraron los valores más altos de carotenoides totales y clorofila a.

Palabras clave: Artemia; microalgas; composición proximal; clorofilas; carotenoides

Introduction

Microalgae contain high-value nutrients such as carotenoids, vitamins, and essential fatty acids (Hamed 2016). Consequently, they are a primary food source for many marine organisms during their early life stages, including bivalves, fish, and shrimp, as well as zooplankton such as Artemia, cladocerans, and copepods (Martínez-Córdova et al. 2014).

Carotenoids, which are vitamin A precursors, can scavenge reactive oxygen species, protecting cells from aggressive free radical damage and improving the immune system (De la Vega-Naranjo 2014, Ruiz-Soto 2017). Similarly, chlorophylls function as antioxidants by interrupting the peroxidation chain reaction (Rigane et al. 2013). Polyunsaturated fatty acids (PUFAs), such as eicosapentaenoic acid (EPA, 20:5 n-3), docosahexaenoic acid (DHA, 22:6 n-3), and arachidonic acid (AA, 20:4 n-6; Ramírez-Mérida et al. 2015), are essential for organisms. These compounds play important functions as precursors of eicosanoids and hormones and improve the immune system (Vizcaíno-Ochoa et al. 2010).

The diatoms Thalassiosira weissflogii and Chaetoceros muelleri mainly produce the carotenoids fucoxanthin, diadinoxanthin, diatoxanthin, and β-carotene (Marella and Tiwari 2020). However, they can produce other carotenoids, including violaxanthin, zeaxanthin, and phaeophytin a, in minor quantities depending on light, nutrient, and temperature conditions (Long et al. 2018). Tetraselmis suecica is characterized by having trans-violaxanthin, antheraxanthin, astaxanthin, lutein, α-carotene, and β-carotene (Ahmed et al. 2014), whereas Nannochloropsis sp. mainly contains violaxanthin and vaucheriaxanthin, in addition to zeaxanthin, canthaxanthin, α-carotene, and β-carotene (Paliwal et al. 2016). The main fatty acids in Thalassiosira weissflogii are 16:1n, 16:0, 14:0, and EPA, while those in Chaetoceros muelleri are 16:1n, 16:0, 14:0, EPA, and AA (Aranda-Burgos et al. 2014, Marella and Tiwari 2020). The green microalgae Tetraselmis suecica mainly contains 16:0, 16:2, 16:3, and α-linolenic acid (18:3), whereas Nannochloropsis sp. mainly contains EPA and AA (Chaisutyakorn et al. 2018, Pugkaew et al. 2019).

Artemia is one of the most used live foods in aquaculture, although Artemia nauplii and juveniles are deficient in PUFAs and carotenoids. These deficiencies can be solved by enrichment or bioencapsulation techniques, which can deliver several compounds of nutritional interest to organisms cultured with live food, including Artemia (Tlusty et al. 2005). Employing Artemia juveniles or adults has certain advantages over using nauplii, as their nutritional value is higher than that of recently hatched or early-stage nauplii (Léger et al. 1986).

In late developmental stages, Artemia is used as live food for larger organisms, including the lobster Homarus americanus, shrimp Macrobrachium americanum, and octopus Octopus vulgaris (Méndez-Martínez et al. 2018). In addition, Artemia is used widely in the culturing protocols of ornamental fishes. For example, Azimirad et al. (2016) evaluated the effect of feeding angelfish (Pterophyllum scalare) adult Artemia without enrichment (control), adult Artemia enriched with lyophilised probiotic, adult Artemia enriched with a prebiotic, and adult Artemia enriched with a synbiotic and found better results in terms of the final weight, weight gain, and specific growth rate of juvenile angelfish fed with the symbiotic-enriched Artemia.

Among Artemia species, A. franciscana is the most widely used live food in marine hatcheries despite being deficient in carotenoids and PUFAs. Nonetheless, as microalgae constitute the primary food source for Artemia, the biochemical composition of hatchery diets can be modified by adjusting the diet of Artemia (Fábregas et al. 2001). For example, several studies have shown that PUFAs can be transferred from microalgae to Artemia nauplii through feeding, that is, from prey to predator (Bhuvaneshwari et al. 2018). Indeed, a short enrichment period of 6-8 h was observed to improve the nutritional quality of Artemia, increasing PUFA content to 56.50% when enriched with Nannochloropsis salina (Chakraborty et al. 2007). Additionally, mortality rates of Artemia decreased when fed a diet enriched with this microalga (Chakraborty et al. 2007).

Many studies have evaluated the enrichment of Artemia nauplii with microalgae. However, very few have focused on Artemia in late developmental stages (i.e., juveniles and adults). Therefore, this study aimed to characterize the proximal composition, concentration of chlorophyll a and b, and total carotenoid content of the most widely used microalgae in aquaculture, namely Thalassiosira weissflogii, Chaetoceros muelleri, Tetraselmis suecica, and Nannochloropsis sp., to evaluate the effects of these microalgae diets on the biochemical composition of A. franciscana juveniles.

Materials and methods

Microalgae cultures

Microalgae were cultivated in f culture media prepared with seawater at 35 psu (practical salinity units), filtered and disinfected with commercial sodium hypochlorite at 5% (Guillard and Ryther 1962). Air was supplied continuously by a 2.5-HP blower, and the cultures were illuminated with 6 white light fluorescent lamps (6,000-6,500 lux). Temperature was maintained at 25 ± 1 °C. Microalgae culturing was carried out following the successive transfer technique of Zazueta-Patrón (2016) using the strains Thalassiosira weissflogii (TH-W-1), Chaetoceros muelleri (CH-M-1), Tetraselmis suecica (TE-S-1), and Nannochloropsis sp. (NN-X-1). The initial density of each culture was 10,000 cell∙mL-1 (TH-W-1), 200,000 cell∙mL-1 (CH-M-1), 25,000 cell∙mL-1 (TE-S-1), and 300,000 cell∙mL-1 (NN-X-1). Cultures were maintained until the exponential phase. Cell density was determined by direct counts using a compound microscope and Neubauer chamber. Representative samples of each microalga were taken to analyze the proximal composition of proteins, carbohydrates, and lipids, as well as the concentration of chlorophyll a and b, and total carotenoid content. All samples were kept at -60 °C until analyzed.

Culture of juvenile Artemia franciscana

To obtain A. franciscana nauplii (Great Salt Lake Artemia, INVE Aquaculture, lot 7116496181), we followed the standard cyst hydration-decapsulation-incubation procedure described by Sorgeloos et al. (1986). Based on mitogenomic analyses, Sainz-Escudero et al. (2021) proposed the name Artemia monica Verrill, 1869 as the valid name of A. franciscana Kellogg, 1906 for the New World Lineage. Hydration was conducted in freshwater with constant aeration. For decapsulation, 5% commercial sodium hypochlorite was used, and the cysts were incubated for 24 h in seawater (35 psu and 28 °C) with aeration and constant lighting (2,000 lux). After hatching, A. franciscana organisms were transferred to a 14-L container with 2 Artemia∙mL-1 and cultured for 9 days. During this period, A. franciscana was fed daily with Chaetoceros muelleri according to the feeding rate reported by Millán-Almaraz et al. (2021). The seawater was exchanged (30%) each day. The bioencapsulation experiment commenced on day 9 of the culture. Artemia franciscana was cultured for 9 days, as this time is required for organisms to reach the juvenile stage (minimum length of 2.7 mm; Sorgeloos et al. 1986).

Nutrient bioencapsulation experiment in juvenile Artemia franciscana

The microalgae and A. franciscana cultures were synchronized so that A. franciscana juveniles were available by the time the microalgae reached the exponential phase. Thus, we were able to feed isolipidic diets to the juveniles. The isolipidic equivalence of the microalgae has been determined in previous unpublished studies (Table 1). For this purpose, the microalgae Chaetoceros muelleri was used as a reference, and the experimental conditions were based on the results of Millán-Almaraz et al. (2021), who observed that the highest ingestion rate of A. franciscana juveniles occurred when they were fed with a density of 900,000 cell∙mL-1 in the dark. Therefore, considering the lipid content of the microalgae Chaetoceros muelleri (12.84 pg of lipid∙cell-1) and the reported cell density, the isolipidic diet consisted of 11,556,000 pg of lipid∙mL-1. Thus, we needed 77,541 cell∙mL-1 of Thalassiosira weissflogii, 457,482 cell∙mL-1 of Tetraselmis suecica, and 4,736,065 cell∙mL-1 of Nannochloropsis sp. to reach this concentration (Table 1).

Table 1 Lipid concentration in pg∙cell-1 and equivalence in cell∙mL-1 of the microalgae Thalassiosira weissflogii (TH-W-1), Chaetoceros muelleri (CH-M-1), Tetraselmis suecica (TE-S-1), and Nannochloropsis sp. (NN-X-1). 

CH-M-1 TH-W-1 TE-S-1 NN-X-1
Lipids in pg∙cell-1 12.84 149.03 25.26 2.44
Equivalence in cell∙mL-1 900,000 77,541 457,482 4,736,065

It is important to mention that before the experiment, the intestines were confirmed to be empty by direct observation using an CH30 microscope. The experiment consisted of 4 treatments, each with one species of microalgae and 4 replicas, resulting in 16 containers with microalgae + Artemia. The control did not include microalgae. In total, there were 20 experimental units, each with a density of 0.5 Artemia∙mL-1. The experimental units consisted of plastic containers with transparent walls, each with a useful volume of 14 L. During the experiment, salinity (35 psu), temperature (25 °C), aeration, and darkness (containers protected from light with black curtains) were maintained constant. At the beginning (0 h) and end (6 h) of the experiment, samples of A. franciscana juveniles were taken to determine the proximal composition of proteins, carbohydrates, and lipids, as well as the concentration of chlorophyll a and b, and total carotenoid content.

Proximal analysis

The proximal composition of the microalgae and A. franciscana juveniles was determined based on the dry weight of proteins (Lowry et al. 1951), carbohydrates (extraction, Whyte 1987; quantification, Dubois et al. 1956) and lipids (extraction, Bligh and Dyer 1959; quantification, Pande et al. 1963). To obtain the samples, a known volume of A. franciscana culture was filtered through GF/C 25 mm filters Whatman. Then, the samples were placed in an oven at 45 °C to dry and stored at -60 °C until analyzed.

Proteins

The filters containing the samples were placed in centrifuge tubes, and 2 mL of 1 N NaOH was added to each. Afterward, the filters were macerated, and 3 mL of 1 N NaOH was added. Then, the tubes were covered with aluminum foil and placed in a water bath at 100 °C for 10 min. Subsequently, the samples were mixed and centrifuged at 3,220 × g for 15 min, and the supernatant was transferred to the test tubes. A double extraction was performed. Afterward, 1 mL of each sample was collected and placed in each test tube, and 5 mL of solution C was added. Solution C was a mixture of the following solutions: solution A (2% anhydrous sodium carbonate in 0.1 N NaOH), solution B1 (0.5% copper sulfate in distilled water), and solution B2 (1% sodium potassium tartrate in distilled water). After adding solution C, the test tubes were allowed to settle for 10 min. Then, 0.5 mL of solution D (mixture of Folin Ciocalteu and distilled water) was added to each tube and shaken vigorously until the mixture turned blue. After which, the test tubes were left to stand for 90 min in the dark. A 1-cm quartz cell was used to read the samples in a Hach DR5000 spectrophotometer at a wavelength of 750 nm.

Carbohydrates

The filters containing the samples were placed in centrifuge tubes, and 2 mL of 1 M H2SO4 was added to each tube. Afterward, the filters were macerated, and 2 mL of 1 M H2SO4 was added. The tubes were covered with aluminum foil and placed in a water bath at 100 °C for 60 min. Subsequently, the samples were mixed and centrifuged at 3,220 × g for 15 min.

After centrifugation, 1 mL of the supernatant from each tube was taken and placed in a test tube, and 1 mL of 5% phenol solution was added. After resting for 40 min, 5 mL of concentrated sulfuric acid was added slowly and mixed until the samples turned yellow. Finally, a 1-cm quartz cell was used to read the samples in the Hach DR5000 spectrophotometer at a wavelength of 485 nm.

Lipids

The filters containing the samples were placed in test tubes and positioned in an ice bath. Then, 0.5 mL of distilled water and 2 mL of methanol were added to each tube, and the contents were macerated. Subsequently, 2 mL of chloroform and 2 mL of methanol were added to each tube and centrifuged at 3,220 × g for 15 min. Then, a double extraction was conducted using 1 mL of methanol and 2 mL of chloroform. A total of 2 mL of distilled water was added to the supernatant obtained from the 2 extractions, and the tubes were shaken vigorously for biphase formation. The tubes with the supernatant were covered with aluminum foil and refrigerated for at least 24 h. After which, the upper layer was discarded, and the rest was left to dry in an oven at 45 °C.

A total of 3 mL of the 2% acid solution of potassium dichromate was added to the remaining concentrate, which was then covered with aluminum foil and placed in a water bath at 100 °C for 15 min. Subsequently, 4.5 mL of distilled water was added to each tube, mixed vigorously, and cooled to room temperature. Finally, a 1-cm quartz cell was used to read the samples in the Hach DR5000 spectrophotometer at a wavelength of 590 nm.

Chlorophyll and total carotenoid analysis

Microalgae and Artemia samples were ground in 100% acetone in an ice bath in the dark and left to stand for 24 h in a refrigerator at 4 °C. The supernatant was recovered by centrifugation at 3,220 × g for 15 min at 4 °C. A double extraction was then performed on the precipitate, and the resulting supernatants were mixed. Then, a 1-cm quartz cell was used to read the samples in the Hach DR5000 spectrophotometer at 662 nm (chlorophyll a), 645 nm (chlorophyll b), and 470 nm (total carotenoids). The concentrations of these pigments are presented in µg·mL-1 and were calculated according to the equations proposed by Lichtenthaler and Wellburn (1983):

Chla = 11.75 A662 - 2.350 A645 , (1)

Chlb = 18.61 A645 - 3.960 A662 , (2)

TC = 1,000 A470 - 2.270 Chla - 81.4 Chlb/227 , (3)

where Chla is chlorophyll a in µg∙mL-1, Chlb is chlorophyll b in µg∙mL-1, TC is total carotenoids in µg∙mL-1, and A is absorbance.

Statistical analysis

Data of the proximal composition, concentration of chlorophyll a and b, and total carotenoid content of the microalgae and juvenile A. franciscana were evaluated by Lilliefors normality and Bartlett homoscedasticity tests (Zar 2010) to determine if parametric or non-parametric statistical tests were necessary. When the data met the assumptions of these tests, a one-way analysis of variance (ANOVA) was performed. Conversely, when the data did not meet these assumptions, a non-parametric Kruskal-Wallis test was conducted. When significant differences were found, a Student-Newman-Keuls (SNK) multiple comparison test was conducted for both parametric and non-parametric data. Data analyzed with non-parametric tests are marked in the tables with an asterisk (*). All statistical analyses were performed in SigmaStat v. 3.5 with a significance level of 5%.

Results

Proximal analysis of microalgae

The proximal analysis based on dry weight (DW) revealed that the protein content of TE-S-1 (426.28 mg∙g-1) was higher than that of TH-W-1 and CH-M-1 (P < 0.05; Table 2). The carbohydrate content of TE-S-1 (231.70 mg∙g-1) was higher than those of CH-M-1 and NN-X-1 (P < 0.05; Table 2). On the other hand, TE-S-1 showed the highest lipid content (154.43 mg∙g-1), which was only significantly higher than that of NN-X-1 (P < 0.05; Table 2).

Table 2 Proteins, carbohydrates, and lipids in mg∙g-1 of dry weight of the microalgae Thalassiosira weissflogii (TH-W-1), Chaetoceros muelleri (CH-M-1), Tetraselmis suecica (TE-S-1), and Nannochloropsis sp. (NN-X-1) during their exponential phase. Results are mean values ± standard error (n = 4). 

Determination Concentrations in mg∙g-1
TH-W-1 CH-M-1 TE-S-1 NN-X-1
Proteins 244.70 ± 22.17a 286.05 ± 19.19ab 426.28 ± 57.26c 389.75 ± 24.13bc
Carbohydrates 185.57 ± 10.89b 77.42 ± 7.37a 231.70 ± 30.00b 116.50 ± 8.32a
Lipids 117.99 ± 2.89ab 123.96 ± 5.67ab 154.43 ± 19.64b 105.89 ± 6.25a

Equal letters indicate that there are no significant differences between species (P > 0.05).

Chlorophyll a, chlorophyll b, and total carotenoids in microalgae

The chlorophyll a content of TE-S-1 was 12.59 pg Chla·ng-1 DW, the highest value for all microalgae (P < 0.05; Table 3). The chlorophyll b content of TE-S-1 was 3.64 pg Chlb·ng-1 DW and was not significantly different from that of NN-X-1 (2.45 pg Chlb·ng-1 DW; P > 0.05; Table 3). The total carotenoid content of CH-M-1 (2.98 pg TC·ng-1 DW) and TE-S-1 (3.72 pg TC·ng-1 DW) reflected the highest concentrations of total carotenoids and were not significantly different (P < 0.05; Table 3).

Table 3 Chlorophyll a (Chla), chlorophyll b (Chlb), and total carotenoids (TC) shown as pg·ng-1 of dry weight (DW) of the microalgae Thalassiosira weissflogii (TH-W-1), Chaetoceros muelleri (CH-M-1), Tetraselmis suecica (TE-S-1), and Nannochloropsis sp. (NN-X-1) cultured during their exponential phase. Results are mean values ± standard error (n = 4).  

Unit TH-W-1 CH-M-1 TE-S-1 NN-X-1
Chlorophyll a
pg Chla·ng-1 DW 8.93 ± 0.41a 7.50 ± 0.54a 12.59 ± 1.42b 7.60 ± 0.72a
Chlorophyll b
*pg Chlb·ng-1 DW 1.02 ± 0.08b 0.76 ± 0.05a 3.64 ± 0.46c 2.45 ± 0.26c
Total carotenoids
pg TC·ng-1 DW 1.96 ± 0.12a 2.98 ± 0.18b 3.72 ± 0.40b 1.61 ± 0.14a

Equal letters indicate that there are no significant differences between the species per unit of measure (P > 0.05). * Non-parametric test.

Proteins, lipids, and carbohydrate content in juvenile Artemia franciscana

After 6 h, all juveniles fed with different microalgae species exhibited higher concentrations and percentages of proteins, lipids, and carbohydrates compared to those of the initial and control values (Table 4). Organisms fed with TE-S-1 showed the highest content of proteins (41.12 µg∙org-1), lipids (11.90 µg∙org-1), and carbohydrates (8.70 µg∙org-1), which were significantly higher (P < 0.05) than those of the other treatments. On the other hand, the TH-W-1 and TE-S-1 treatments showed higher percentages of proteins (53.36% and 54.11%) and carbohydrates (11.32% and 11.45%), while TE-S-1 exhibited a higher percentage of lipids (15.66%; P < 0.05).

Table 4 Proteins, lipids, and carbohydrates (µg∙org-1 and percentages) based on the dry weight of Artemia franciscana juveniles at the beginning (0 h) and after (6 h) feeding them with Thalassiosira weissflogii (TH-W-1), Chaetoceros muelleri (CH-M-1), Tetraselmis suecica (TE-S-1), and Nannochloropsis sp. (NN-X-1). Results are mean values ± standard error (n = 4). 

Determination Initial Control TH-W-1 CH-M-1 TE-S-1 NN-X-1
Concentrations in µg∙org-1
Proteins *Lipids Carbohydrates 30.01 ± 0.22 5.55 ± 0.04 5.40 ± 0.02 27.89 ± 0.19a 5.11 ± 0.03a 4.92 ± 0.02a 37.89 ± 0.25c 9.76 ± 0.06c 8.04 ± 0.05d 39.79 ± 0.34d 11.15 ± 0.14d 7.46 ± 0.03c 41.12 ± 0.31e 11.90 ± 0.07e 8.70 ± 0.03e 34.33 ± 0.25b 7.58 ± 0.06b 6.68 ± 0.05b
Percentages
Proteins 44.54 ± 0.25 43.56 ± 0.17a 53.36 ± 0.68d 47.02 ± 0.52b 54.11 ± 0.73d 49.30 ± 0.47c
*Lipids 8.24 ± 0.04 7.98 ± 0.04a 13.74 ± 0.24c 13.18 ± 0.23c 15.66 ± 0.19d 10.88 ± 0.11b
Carbohydrates 8.01 ± 0.02 7.68 ± 0.03a 11.32 ± 0.17d 8.81 ± 0.06b 11.45 ± 0.15d 9.59 ± 0.09c

Chlorophyll a and b and total carotenoids in juvenile Artemia franciscana

After 6 h of feeding, all organisms had higher pigment concentrations than the control (Table 5), but juveniles fed with TH-W-1 showed higher concentrations of chlorophyll a (0.482 ng Chla·µg-1 DW) and total carotenoids (0.345 ng TC·µg-1 DW; P < 0.05). Those fed with TE-S-1 exhibited the highest value of chlorophyll b (0.131 ng Chlb·µg-1 DW).

Table 5 Chlorophyll a, chlorophyll b, and total carotenoids in ng·µg-1 dry weight (DW) of the juveniles of Artemia franciscana at the beginning (0 h) and after (6 h) feeding them with the microalgae Thalassiosira weissflogii (TH-W-1), Chaetoceros muelleri (CH-M-1), Tetraselmis suecica (TE-S-1), and Nannochloropsis sp. (NN-X-1). Results are mean values ± standard error (n = 4). 

Determination Initial Control TH-W-1 CH-M-1 TE-S-1 NN-X-1
Concentrations in ng·µg-1 DW
*Chlorophyll a 0.010 ± 0.000 0.010 ± 0.001a 0.482 ± 0.009e 0.437 ± 0.002d 0.248 ± 0.006c 0.193 ± 0.002b
Chlorophyll b 0.005 ± 0.000 0.004 ± 0.000a 0.102 ± 0.004c 0.081 ± 0.002b 0.131 ± 0.004e 0.121 ± 0.003d
*Total carotenoids 0.050 ± 0.001 0.043 ± 0.001a 0.345 ± 0.002d 0.328 ± 0.001c 0.229 ± 0.006b 0.228 ± 0.004b

Different letters indicate significant differences between treatments (P < 0.05). *Non-parametric test.

Discussion

Microalgae proximal composition, concentration of chlorophyll a and b, and total carotenoid content

As expected, diatoms present lower concentrations of organic matter than green microalgae because they possess frustules with higher percentages of inorganic matter. However, no trend has been observed in which proteins, carbohydrates, and lipids exhibited lower values in diatoms than in other species, as observed by Renaud et al. (1999). In this study, only the protein content was higher in green microalgae than in diatoms.

The protein content of TH-W-1 (244.70 mg∙g-1) was similar to the value of 289 mg∙g-1 reported by García et al. (2012). Regarding the protein content of CH-M-1, our value was lower than that reported by Carbajal-López (2008) for Chaetoceros calcitrans, while our values for TE-S-1 and NN-X-1 were higher than those reported by the same author (274.57 mg∙g-1 for TE-S-1 and 169.34 mg∙g-1 for Nannochloropsis oculata). These differences could be due to the different microalgae species, media (e.g., Carbajal-López [2008] used f/2 medium), or methodologies employed between studies.

Similarly, these reasons may also explain the differences observed in carbohydrate and lipid content. The carbohydrate content obtained in this study for TH-W-1 (185.57 mg∙g-1) was similar to the value of 207.00 mg∙g-1 reported by García et al. (2012) for the same species. On the other hand, Carbajal-López (2008) reported carbohydrate content of 42.55 mg∙g-1 for C. calcitrans, 22.25 mg∙g-1 for TE-S-1, and 18.96 mg∙g-1 for N. oculata, which are lower than those reported in this study. The lipid content of TH-W-1 (117.99 mg∙g-1) in our study was lower than that reported by García et al. (2012), which may also be due to the differences in culture conditions between studies (e.g., different media, temperatures, and salinities). However, the lipid concentrations of CH-M-1 and TE-S-1 in this study were higher than those of Carbajal-López (2008) for C. calcitrans (103.27 mg∙g-1) and TE-S-1 (86.63 mg∙g-1). Lastly, the lipid content of NN-X-1 in this study was similar to that reported by Carbajal-López (2008) for N. oculata.

In this study, chlorophyll a was the most abundant compound in all species of microalgae, while chlorophyll b was the second most abundant compound in green microalgae. These results agree with those of Jeffrey and Wright (2005). Although it was not evaluated in this study, chlorophyll c, in addition to the 2 chlorophyll types mentioned above, is found in many groups of marine algae, including diatoms, brown algae, and dinoflagellates (Zapata et al. 2006). In this study, the concentration of chlorophyll a in TH-W-1 (8.93 pg Chla∙ng-1 DW) was higher than those reported by Saxena et al. (2022), who recorded concentrations ranging from 2.79 to 6.01 pg Chla∙ng-1 DW for this species. Similarly, Saxena et al. (2022) reported chlorophyll a values that ranged from 2.60 to 4.16 pg Chla·ng-1 DW for Chaetoceros gracilis. These concentrations were lower than those recorded in this study (7.50 pg Chla·ng-1 DW for CH-M-1). The concentration of total carotenoids for TH-W-1 (1.96 pg TC·ng-1 DW) in this study was similar to that reported by Bhattacharjya et al. (2020) for Thalassiosira sp. (1.50 pg TC·ng-1 DW). The concentration of total carotenoids for CH-M-1 (2.98 pg TC·ng-1 DW) in this study was higher than that found by Goiris et al. (2012), who reported a value of 2.33 pg TC·ng-1 DW for samples of lyophilized biomass of C. calcitrans.

Few studies have reported chlorophyll b content in diatoms. However, Ju et al. (2009), who worked with Thalassiosira weissflogii, and Wang et al. (2019), who analyzed Phaeodactylum tricornutu, reported concentrations lower than those obtained in this study. In the case of Ju et al. (2009), these differences may be due to the different procedures used to obtain and analyze the samples. With regard to Wang et al. (2019), these differences may be due to the different species, culture media, and temperatures employed, as well as the different light/dark cycles or exposure to 5 p-chloroaniline concentrations.

The chlorophyll a content of TE-S-1 (12.59 pg Chla·ng-1 DW) was similar to the concentrations obtained by Abiusi et al. (2013), who cultivated the same species for 9 days using LEDs of different colors and reported values of 7.00 to 16.00 pg Chla·ng-1 DW. Nevertheless, the content of chlorophyll b (3.64 pg Chlb∙ng-1 DW) and total carotenoids (3.72 pg TC∙ng-1 DW) obtained in the present study were lower than those recorded by the authors mentioned above, who reported values ranging from 6.00 to 13.00 pg·ng-1 DW for chlorophyll b and 6.00 pg·ng-1 DW for total carotenoids.

Regarding the pigment concentrations, the chlorophyll a content (7.60 pg Chla∙ng-1 DW) for NN-X-1 obtained in this study was higher than that reported by Ra et al. (2018), who reported values of 4.00 to 6.00 pg Chla∙ng-1 DW for Nannochloropsis oceanica, although the value in this study was similar to that obtained for N. salina (6.00 to 10.00 pg Chla·ng-1 DW). Ra et al. (2018) evaluated the effects of mixed wavelengths of white and green light from LEDs on microalgae. However, the concentration of chlorophyll b (2.45 pg Chlb∙ng-1 DW) in this study was higher than that obtained by those authors, who reported chlorophyll b concentrations lower than 2.00 Chlb∙ng-1 DW in both species. Moreover, the concentration of total carotenoids (1.61 pg TC·ng-1 DW) in this study was similar to that reported by Goiris et al. (2012), who reported a total carotenoid concentration of 1.65 pg TC·ng-1 DW in N. oculata.

Temperature and light intensity are key factors affecting the productivity of microalgae (Hindersin et al. 2014). In addition, nitrogen and phosphorus supplementation influences the synthesis of biochemical components of cultured algae (Rasdi and Qin 2015). For example, nitrogen and phosphorus limitation in algal culture media promotes lipid accumulation (Franz et al. 2013), whereas excess temperature or light induces carotenoid synthesis (Panis and Carreon 2016). Diatoms in the exponential and stationary phases of harvest contain more fatty acids than green microalgae or blue-green microalgae (Wongrat 1995). In the case of carotenoids, some microalgae strains accumulate the highest cellular concentrations of carotenoids in the mid-late exponential phase of growth (Gómez-Loredo et al. 2016).

Proximal composition, chlorophylls, and total carotenoid content in juvenile Artemia franciscana

Juvenile A. franciscana fed with the isolipidic diets of TH-W-1, CH-M-1, TE-S-1, and NN-X-1 presented higher protein, carbohydrate, and lipid concentrations and percentages than those in the control. However, juveniles fed with TE-S-1 exhibited higher concentrations and percentages of proteins, carbohydrates, and lipids than those fed with the other microalgal species, which agrees with the proximal composition of TE-S-1. In contrast, juvenile A. franciscana fed with NN-X-1 presented the lowest concentrations of proteins, carbohydrates, and lipids per organism when compared to the juveniles fed with the other microalgae, which may be because Artemia nauplii cannot digest Nannochloropsis species because of their rigid cell walls (Gerken et al. 2013).

The protein percentage of the juveniles fed the TE-S-1 diet (54.11%) in this study was similar to that found by Maldonado-Montiel and Rodríguez-Canché (2005), who reported a percentage of 53.1% for adult Artemia sp. fed with the same microalgae. In another study, Shanmugam and Rajendran (2018) obtained 55.55% protein in adult A. franciscana fed Chaetoceros sp., which is higher than that found in this study with the microalgae Chaetoceros muelleri (47.02%). The lipid percentage reported by Shanmugam and Rajendran (2018) of 19.38% for adult A. franciscana fed Chaetoceros sp. was higher than that found in this study for juvenile Artemia fed with Chaetoceros muelleri (13.18%). However, these authors reported a lipid percentage (16.06%) in organisms fed with Tetraselmis sp., which was similar to that obtained in this study in juveniles fed Tetraselmis suecica (15.66%). Sánchez-Saavedra and Paniagua-Chávez (2017) reported a carbohydrate percentage of 18.83% for adult A. franciscana fed with Chaetoceros muelleri, which is higher than that obtained in this study for juveniles fed with the same species (8.81%). Nevertheless, Shanmugam and Rajendran (2018) reported a carbohydrate percentage of 15.11% (based on dry weight) for organisms fed Tetraselmis sp., which is similar to the value reported in this study (11.45%) in juvenile A. franciscana fed Tetraselmis suecica.

The total carotenoid content in A. franciscana juveniles in this study was higher than those reported by Cheban et al. (2020), who obtained values of 0.06 to 0.18 ng TC∙µg-1 DW in Artemia salina nauplii enriched with the microalgae Desmodesmus armatus, Chlorella vulgaris, and Dunaliella viridis for 24 h. In contrast, the concentrations in this study were lower than those obtained by Abdollahi et al. (2019), who reported a value of 0.88 ng TC∙µg-1 DW for adult A. franciscana enriched for 4 h with β-carotene from Dunaliella salina. No references were found reporting the chlorophyll concentration in crustaceans or possible functions. However, antioxidant activity that prevents oxidative DNA damage and lipid peroxidation is a beneficial effect of chlorophyll (Pangestuti and Kim 2011).

High-quality meals, such as Artemia enriched with microalgae, are crucial for the success of fish larvae cultures, as these diets provide the nutritional elements needed to support the lifespans, ideal growth, and immune systems of fish (Madkour et al. 2022). In this sense, Artemia juveniles enriched with carotenoids from microalgae, such as those evaluated in the present study, can also serve as food for ornamental fish, such as Xiphophorus maculatus, given that supplementing their diets with carotenoids improves coloration and mucosal immune responses (Abdollahi et al. 2019). In addition, Pérez-Rodríguez et al. (2018) studied the effects of feeding M. americanum larvae a diet of Artemia enriched with C. calcitrans microalgae, reporting that the overall growth, growth rate, and survival improved.

In conclusion, positive effects were observed in the proximal composition, concentration of chlorophyll a and b, and total carotenoid content of juvenile A. franciscana fed different microalgae species after 6 h. Organisms fed with Tetraselmis suecica exhibited the best results in terms of proximal composition and chlorophyll b content, while those fed diets of Thalassiosira weissflogii and Chaetoceros muelleri presented the best results in terms of total carotenoid and chlorophyll a content.

Acknowledgments

The authors thank CONACYT for a scholarship (#424079) and the project PRO_A7_041 of the Program for the Promotion and Support of Research Projects (PROFAPI) 2022.

References

Abdollahi Y, Ahmadifard N, Agh N, Rahmanifarah K, Amin-Hejazi M. 2019. β-Carotene-enriched Artemia as a natural carotenoid improved skin pigmentation and enhanced the mucus immune responses of platyfish Xiphophorus maculatus. Aquac Int. 27(6):1847-1858. https://doi.org/10.1007/s10499-019-00437-8 [ Links ]

Abiusi F, Sampietro G, Marturano G, Biondi N, Rodolfi L, D’Ottavio M, Tredici MR. 2013. Growth, photosynthetic efficiency, and biochemical composition of Tetraselmis suecica F&M-M33 grown with LEDs of different colors. Biotechnol Bioeng. 111(5):956-964. https://doi.org/10.1002/bit.25014 [ Links ]

Ahmed F, Fanning K, Netzel M, Turner W, Li Y, Schenk PM. 2014. Profiling of carotenoids and antioxidant capacity of microalgae from subtropical coastal and brackish waters. Food Chem. 165:300-306. http://dx.doi.org/10.1016/j.foodchem.2014.05.107 [ Links ]

Aranda-Burgos JA, da Costa F, Nóvoa S, Ojea J, Martínez-Patiño D. 2014. Effects of microalgal diet on growth, survival, biochemical and fatty acid composition of Ruditapes decussatus larvae. Aquaculture. 420-421:38-48. http://doi.org/10.1016/j.aquaculture.2013.10.032 [ Links ]

Azimirad M, Meshkini S, Ahmadifard N, Hoseinifar SH. 2016. The effects of feeding with synbiotic (Pediococcus acidilactici and fructooligosaccharide) enriched adult Artemia on skin mucus immune responses, stress resistance, intestinal microbiota and performance of angelfish (Pterophyllum scalare). Fish Shellfish Immunol. 54:516-522. https://doi.org/10.1016/j.fsi.2016.05.001 [ Links ]

Bhattacharjya R, Marella TK, Tiwari A, Saxena A, Singh PK, Mishra B. 2020. Bioprospecting of marine diatoms Thalassiosira, Skeletonema and Chaetoceros for lipids and other value-added products. Bioresour Technol. 318:124073.https://doi.org/10.1016/j.biortech.2020.124073 [ Links ]

Bhuvaneshwari M, Thiagarajan V, Nemade P, Chandrasekaran N, Mukherjee A. 2018. Toxicity and trophic transfer of P25 TiO2 NPs from Dunaliella salina to Artemia salina: effect of dietary and waterborne exposure. Environ Res. 160:39-46. https://doi.org/10.1016/j.envres.2017.09.022 [ Links ]

Bligh EG, Dyer WJ. 1959. A rapid method of total lipid extraction and purification. Can J Biochem Physiol. 37(8):911-917. https://doi.org/10.1139/o59-099 [ Links ]

Carbajal-López A. 2008. Producción en masa del rotífero Brachionus plicatilis alimentado con 4 diferentes microalgas, para su uso como alimento vivo de larvas de peces marinos. [Mass production of Brachionus plicatilis rotifer fed with 4 different microalgae, for use as live food for marine fish larvae] [BSc thesis]. [Guadalajara (Jalisco, Mexico)]: Universidad de Guadalajara. 48 p. [ Links ]

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. J Appl Phycol. 30:37-45. https://doi.org/10.1007/s10811-017-1186-3 [ Links ]

Chakraborty RD, Chakraborty K, Radhakrishnan EV. 2007. Variation in fatty acid composition of Artemia salina nauplii enriched with microalgae and baker’s yeast for use in larviculture. J Agric Food Chem . 55(10):4043-4051. https://doi.org/10.1021/jf063654l [ Links ]

Cheban L, Khudyi O, Prusińska M, Duda A, Khuda L, Wiszniewski G, Kushniryk O, Kapusta A. 2020. Survival, proximate composition, and proteolytic activity of Artemia salina bioencapsulated with different algal monocultures. Fish Aquat Life. 28(4):205-215. https://doi.org/10.2478/aopf-2020-0025 [ Links ]

De la Vega-Naranjo M. 2014. Aislamiento, caracterización y manipulación genética de microalgas marinas para la producción de compuestos de alto valor añadido [Isolation, characterization, and genetic manipulation of marine microalgae for the production of high added value compounds] [dissertation]. [Spain]: Universidad de Huelva. 204 p. [ Links ]

Dubois M, Gilles KA, Hamilton JK, Rebers PA, Smith F. 1956. Colorimetric method for the determination of sugars and related substances. Anal Chem. 28(3):350-356. https://doi.org/10.1021/ac60111a017 [ Links ]

Fábregas J, Otero A, Domínguez A, Patiño M. 2001. Growth rate of the microalga Tetraselmis suecica changes the biochemical composition of Artemia species. Mar Biotechnol. 3(3):256-263. https://doi.org/10.1007/s101260000074 [ Links ]

Franz AK, Danielewicz MA, Wong DM, Anderson LA, Boothe JR. 2013. Phenotypic screening with oleaginous microalgae reveals modulators of lipid productivity. ACS Chem Biol. 8:1053-1062. https://doi.org/10.1021/cb300573r [ Links ]

García N, López-Elías JA, Miranda A, Martínez-Porchas M, Huerta N, García A. 2012. Effect of salinity on growth and chemical composition of the diatom Thalassiosira weissflogii at three culture phases. Lat Am J Aquat Res. 40(2):435-440. http://doi.org/10.3856/vol40-issue2-fulltext-18 [ Links ]

Gerken HG, Donohoe B, Knoshaug EP. 2013. Enzymatic cell wall degradation of Chlorella vulgaris and other microalgae for biofuels production. Planta: 237:239-253. https://doi.org/10.1007/s00425-012-1765-0 [ Links ]

Goiris K, Muylaert K, Fraeye I, Foubert I, de Brabanter J, de Cooman L. 2012. Antioxidant potential of microalgae in relation to their phenolic and carotenoid content. J Appl Phycol. 24:1477-1486. https://doi.org/10.1007/s10811-012-9804-6 [ Links ]

Gómez-Loredo A, Benavides J, Rito-Palomares M. 2016. Growth kinetics and fucoxanthin production of Phaeodactylum tricornutum and Isochrysis galbana cultures at different light and agitation conditions. J Appl Phycol. 28:849-860. https://doi.org/10.1007/s10811-015-0635-0 [ Links ]

Guillard RRL, Ryther JH. 1962. Studies of marine planktonic diatoms: I. Cyclotella nana Hustedt and Detonula confervacea (Cleve). Rev Microbiol. 8:229-325. https://doi.org/10.1139/m62-029 [ Links ]

Hamed I. 2016. The evolution and versatility of microalgal biotechnology: a review. Compr Rev Food Sci Food Saf. 15(6):1104-1123. https://doi.org/10.1111/1541-4337.12227 [ Links ]

Hindersin S, Leupold M, Kerner M, Hanelt D. 2014. Key parameters for outdoor biomass production of Scenedesmus obliquus in solar tracked photobioreactors. J Appl Phycol. 26:2315-2325. https://doi.org/10.1007/s10811-014-0261-2 [ Links ]

Jeffrey SW, Wright SW. 2005. Photosynthetic pigments in marine microalgae: insights from cultures and the sea. In: Subba-Rao DV (ed.), Algal Cultures, Analogues of Blooms and Applications. New Hampshire (USA): Science Publishers. p. 33-90. [ Links ]

Ju ZY, Forster IP, Dominy WG. 2009. Effects of supplementing two species of marine algae or their fractions to a formulated diet on growth, survival and composition of shrimp (Litopenaeus vannamei). Aquaculture. 292:237-243. https://doi.org/10.1016/j.aquaculture.2009.04.040 [ Links ]

Léger P, Bengston DA, Simpson KL, Sorgeloos P. 1986. The use and nutritional value of Artemia as a food source. Oceanogr Mar Biol Annu Rev. 24:521-623. [ Links ]

Lichtenthaler HK, Wellburn AR. 1983. Determinations of total carotenoids and chlorophylls a and b of leaf extracts in different solvents. Biochem Soc Trans. 11(5):591-592. https://doi.org/10.1042/bst0110591 [ Links ]

Long M, Tallec K, Soudant P, Le Grand F, Donval A, Lambert C, Sarthou G, Jolley DF, Hégaret H. 2018. Allelochemicals from Alexandrium minutum induce rapid inhibition of metabolism and modify the membranes from Chaetoceros muelleri. Algal Res. 35:508-518. https://doi.org/10.1016/j.algal.2018.09.023 [ Links ]

Lowry OH, Rosebrough NJ, Farr AL, Randall RL. 1951. Protein measurement with the folin phenol reagent. J Biol Chem. 193(1):265-275. https://doi.org/10.1016/S0021-9258(19)52451-6 [ Links ]

Madkour K, Dawood MAO, Sewilam H. 2022. The use of Artemia for aquaculture industry: An updated overview. Ann Anim Sci. 23(1):3-10. https://doi.org/10.2478/aoas-2022-0041 [ Links ]

Maldonado-Montiel TDNJ, Rodríguez-Canché LG. 2005. Biomass production and nutritional value of Artemia sp. (Anostraca: Artemiidae) in Campeche, México. Rev Biol Trop. 53(3-4):447-454. https://doi.org/10.15517/rbt.v53i3-4.14613 [ Links ]

Marella TK, Tiwari A. 2020. Marine diatom Thalassiosira weissflogii based biorefinery for co-production of eicosapentaenoic acid and fucoxanthin. Bioresour Technol . 307:123245. https://doi.org/10.1016/j.biortech.2020.123245 [ Links ]

Martínez-Córdova LR, Martínez-Porchas M, López-Elías JA, Enríquez-Ocaña LF. 2014. Uso de microorganismos en el cultivo de crustáceos = Use of microorganisms in crustacean culture. Biotecnia. 16(3):50-55. https://doi.org/10.18633/bt.v16i3.141 [ Links ]

Méndez-Martínez Y, García-Guerrero MU, Lora-Vilchis MC, Martínez-Córdova LR, Arcos-Ortega FG, Alpuche JJ, Cortés-Jacinto E. 2018. Nutritional effect of Artemia nauplii enriched with Tetraselmis suecica and Chaetoceros calcitrans microalgae on growth and survival on the river prawn Macrobrachium americanum larvae. Aquac Int . 26:1001-1015. https://doi.org/10.1007/s10499-018-0264-0 [ Links ]

Millán-Almaraz MI, Nieves-Soto M, López-Peraza DJ, Peraza-Yee MM. 2021. Effect of light and feed density on ingestion rate, protein and lipid content of Artemia franciscana juveniles. Lat Am J Aquat. 49(5):717-724. https://doi.org/10.3856/vol49-issue5-fulltext-2695 [ Links ]

Paliwal C, Ghosh T, George B, Pancha I, Maurya R, Chokshi K, Ghosh A, Mishra S. 2016. Microalgal carotenoids: Potential nutraceutical compounds with chemotaxonomic importance. Algal Res . 15:24-31. http://doi.org/10.1016/j.algal.2016.01.017 [ Links ]

Pande SV, Khan RP, Venkitasubramanian TA. 1963. Microdetermination of lipids and serum total fatty acid. Anal Biochem. 6(5):415-423. https://doi.org/10.1016/0003-2697(63)90094-0 [ Links ]

Pangestuti, R, Kim, SK. 2011. Biological activities and health benefit effects of natural pigments derived from marine algae. J Funct Foods. 3(4):255-266. https://doi.org/10.1016/j.jff.2011.07.001 [ Links ]

Panis G, Carreon JR. 2016. Commercial astaxanthin production derived by green alga Haematococcus pluvialis: a microalgae process model and a techno-economic assessment all through production line. Algal Res . 18:175-190. https://doi.org/10.1016/j.algal.2016.06.007 [ Links ]

Pérez-Rodríguez JC, Yamasaki-Granados S, García-Guerrero MU, Martínez-Porchas M, Méndez-Martínez Y, Latournerié-Cervera JR, Cortés-Jacinto E. 2018. Growth and survival of juvenile cauque river prawn Macrobrachium americanum fed with diets containing different protein levels. Lat Am J Aquat Res. 46(3):534-542. http://doi.org/10.3856/vol46-issue3-fulltext-6 [ Links ]

Pugkaew W, Meetam M, Yokthongwattana K, Leeratsuwan N, Pokethitiyook P. 2019. Effects of salinity changes on growth, photosynthetic activity, biochemical composition, and lipid productivity of marine microalga Tetraselmis suecica. J Appl Phycol. 31:969-979. https://doi.org/10.1007/s10811-018-1619-7 [ Links ]

Ra CH, Sirisuk P, Jung JH, Jeong GT, Kim SK. 2018. Effects of light-emitting diode (LED) with a mixture of wavelengths on the growth and lipid content of microalgae. Bioprocess Biosyst Eng. 41:457-465. https://doi.org/10.1007/s00449-017-1880-1 [ Links ]

Ramírez-Mérida LG, Ragagnin de Menezes C, Queiroz Zepka L, Jacob-Lopes E. 2015. Microalgas: potencial para la producción de compuestos bioactivos nanoencapsulados [Microalgae: potential for the production of nanoencapsulated bioactive compounds]. Ciencia e Natura. 37(5):7-17. https://doi.org/10.5902/2179-460X19690 [ Links ]

Rasdi NW, Qin JG. 2015. Effect of N:P ratio on growth and chemical composition of Nannochloropsis oculata and Tisochrysis lutea. J Appl Phycol . 27:2221-2230. https://doi.org/10.1007/s10811-014-0495-z [ Links ]

Renaud SM, Thinh LV, Parry DL. 1999. The gross chemical composition and fatty acid composition of 18 species of tropical Australian microalgae for possible use in mariculture. Aquaculture 170(2):147-159. https://doi.org/10.1016/S0044-8486(98)00399-8 [ Links ]

Rigane G, Bouaziz M, Sayadi S, Salem RB. 2013. Effect of storage on refined olive oil composition: stabilization by addition of chlorophyll pigments and squalene. J Oleo Sci. 62(12):981-987. https://doi.org/10.5650/jos.62.981 [ Links ]

Ruiz-Soto A. 2017. Implementación de una metodología por cromatografía líquida de alta resolución para la determinación del carotenoide all-trans-β-caroteno en la microalga Arthrospira platensis [Implementation of a high performance liquid chromatography methodology for the all-trans-B-carotene carotenoid determination o in the microalgae Arthrospira platensis] [Bsc thesis]. [Lima (Peru)]: Universidad Nacional de Ingeniería. 125 p. [ Links ]

Sainz-Escudero L, López-Estrada EK, Rodríguez-Flores PC, García-París M. 2021. Settling taxonomic and nomenclatural problems in brine shrimps, Artemia (Crustacea: Branchiopoda: Anostraca), by integrating mitogenomics, marker discordances and nomenclature rules. PeerJ. 9:e10865. https://doi.org/10.7717/peerj.10865 [ Links ]

Sánchez-Saavedra MP, Paniagua-Chávez C. 2017. Potential of refrigerated marine cyanobacterium Synechococcus elongatus used as food for Artemia franciscana. Lat Am J Aquat Res. 45(5):937-947. http://doi.org/10.3856/vol45-issue5-fulltext-9 [ Links ]

Saxena A, Mishra B, Tiwari A. 2022. Cost-effective mass cultivation of marine diatoms with local salts and its impact on growth and productivity. Bioresour Technol . 352:127128. http://doi.org/10.2139/ssrn.4035281 [ Links ]

Shanmugam S, Rajendran R. 2018. Influence of different diets on the growth, survival, fecundity and proximate composition of brine shrimp Artemia franciscana (Kellog, 1906). Aquac Res. 50(2):1-14. https://doi.org/10.1111/are.13882 [ Links ]

Sorgeloos P, Lavens P, Leger P, Tackaert W, Versichele D. 1986. Manual for the culture and use of brine shrimp Artemia in aquaculture. Belgium: Belgian Development Agency; FAO. 319 p. [ Links ]

Tlusty MF, Goldstein JS, Fiore DR. 2005. Hatchery performance of early benthic juvenile American lobsters (Homarus americanus) fed enriched frozen adult Artemia diets. Aquac Nutr. 11(3):191-198. https://doi.org/10.1111/j.1365-2095.2005.00339.x [ Links ]

Vizcaíno-Ochoa V, Lazo JP, Barón-Sevilla B, Drawbridge MA. 2010. The effect of dietary docosahexaenoic acid (DHA) on growth, survival and pigmentation of California halibut Paralichthys californicus larvae (Ayres, 1810). Aquaculture . 302:228-234. https://doi.org/10.1016/j.aquaculture.2010.02.022 [ Links ]

Wang X, Miao J, Pan L, Li Y, Lin Y, Wu J. 2019. Toxicity effects of p-choroaniline on the growth, photosynthesis, respiration capacity and antioxidant enzyme activities of a diatom, Phaeodactylum tricornutu. Ecotoxicol Environ Saf. 169:654-661. https://doi.org/10.1016/j.ecoenv.2018.11.015 [ Links ]

Whyte JNC. 1987. Biochemical composition and energy content of six species of phytoplankton used in mariculture of bivalves. Aquaculture . 60(3-4):231-241. https://doi.org/10.1016/0044-8486(87)90290-0 [ Links ]

Wongrat L. 1995. Phytoplankton. Bangkok (Thailand): Faculty of Fisheries, Kasetsart University. [ Links ]

Zapata M, Garrido JL, Jeffrey SW. 2006. Chlorophyll c pigments: current status. In: Grimm, B, Porra RJ, Rüdiger W, Scheer, H. (eds.), Chlorophylls and Bacteriochlorophylls: Biochemistry, Biophysics, Functions and Applications. Dordrecht (The Netherlands): Springer: p. 39-53. https://doi.org/10.1007/1-4020-4516-6_3 [ Links ]

Zar JH. 2010. Biostatistical analysis. New Jersey (USA): Prentice Hall. 663 p. [ Links ]

Zazueta-Patrón IE. 2016. Crecimiento, biomasa y composición proximal de microalgas cultivadas en medios limitantes de nitrógeno [Growth, biomass, and proximal composition of microalgae cultured in limiting nitrogen media] [MSc thesis]. [Mazatlan (Sinaloa, Mexico)]: Facultad de Ciencias del Mar de la Universidad Autónoma de Sinaloa (FACIMAR-UAS). 55 p. [ Links ]

Copyediting by MacTavish Scientific Editing.

Received: October 02, 2022; Accepted: May 22, 2023; Published: December 05, 2023

*Corresponding author. E-mail: dianalopez@uas.edu.mx

All coauthors agree with its publication and made significant contributions; there is no conflict of interest.

Creative Commons License This is an open-access article distributed under the terms of the Creative Commons Attribution License