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Revista de Biología Tropical, ISSN: 2215-2075, Vol. 73: e2025219, enero-diciembre 2025 (Publicado Dic. 08, 2025)
Association between the alga Spirogyra (Zygnemataceae) and heavy metals
in sediments of the Chi River Basin in Northeast Thailand
Patarapong Kroeksakul1*; https://orcid.org/0000-0003-3201-8996
Arin Ngamniyom1; https://orcid.org/0000-0002-2325-0622
Phanom Sutthisaksopon1; https://orcid.org/0009-0009-2609-2015
Pakjirat Singhaboot2; https://orcid.org/0009-0003-4698-5482
1. Faculty of Environmental Culture and Ecotourism, Srinakharinwirot University, Ongkharak, Nakhon Nayok,
Thailand. 26120; patarapong@g.swu.ac.th (*Correspondence), arin@g.swu.ac.th, phanom@g.swu.ac.th
2. Faculty of Agricultural Product Innovation and Technology, Srinakharinwirot University, Ongkharak, Nakhon Nayok,
Thailand. 26120; pakjirat@g.swu.ac.th
Received 04-VII-2025. Corrected 11-IX-2025. Accepted 22-XI-2025.
ABSTRACT
Introduction: Sediments act as major sinks of heavy metals from human activities, while algae such as Spirogyra
interact with these sediments through nutrient uptake and biogeochemical cycling. In the Chi River Basin,
Spirogyra (“Tao”) plays both ecological and socioeconomic roles, serving as food and a bioindicator of pollution.
Objective: To evaluate heavy-metal concentrations in sediments and Spirogyra and assesses their potential
human health risks.
Methods: Water quality, Spirogyra, and sediment samples from the Chi River Basin were analyzed for heavy met-
als using ICP-OES, with human health risks assessed by THQ and HI, and sediment contamination evaluated
through Igeo, EF, CF, PLI indices.
Results: Heavy metals (Cd, Cu, Fe, Mn, Zn) in sediments and Spirogyra from the Chi River Basin were assessed
under average water conditions (pH 7.49, EC 497 µS cm–2, NaCl 0.024 %, 24.9 ± 3.52 °C), showing concentrations
in algae (Fe > Mn > Zn > Cu > Cd) with THQ and HI < 1 indicating low health risk, while sediments (Mn > Fe >
Zn > Cu > Cd) exhibited Igeo < 0, EF < 2, CF < 1 except for Fe (CF = 8.31), PLI < 1, and significant correlations
between Mn in algae with Cu and Mn in sediments, Cu with Fe in algae, and Cd in algae with Fe in sediments.
Conclusions: The findings indicate no significant heavy-metal pollution in sediments or Spirogyra from the Chi
River Basin. However, due to elevated Fe contamination in sediments, periodic monitoring is recommended to
safeguard ecological and food safety.
Key words: Spirogyra; sediment; heavy metals; Chi River Basin.
RESUMEN
Asociación entre el alga Spirogyra (Zygnemataceae) y metales pesados en sedimentos
de la cuenca del río Chi en el noreste de Tailandia
Introducción: Los sedimentos actúan como sumideros principales de metales pesados provenientes de activi-
dades humanas, mientras que algas como Spirogyra interactúan con estos sedimentos a través de la absorción de
nutrientes y el ciclo biogeoquímico. En la cuenca del río Chi, Spirogyra (“Tao”) cumple funciones tanto ecológicas
como socioeconómicas, sirviendo como alimento y bioindicador de contaminación.
https://doi.org/10.15517/x61ae455
AQUATIC ECOLOGY
2Revista de Biología Tropical, ISSN: 2215-2075 Vol. 73: e2025219, enero-diciembre 2025 (Publicado Dic. 08, 2025)
INTRODUCTION
Sediments in water bodies contain the
bulk of the heavy metals (HMs) produced by
human activities (Guan et al., 2018; Liber et al.,
2019; Sojka & Jaskuła, 2022). Fluvial processes
(Foster & Charlesworth, 1996; Miller, 1997;
Rahman et al., 2022; Schulte et al., 2024) and
the decomposition of algae are involved in the
biogeochemical cycles of HMs in the sediment
(Ni et al., 2019; Wang et al., 2023; Xue et al.,
2024). A variety of species, including algae, use
silt as a source of nutrients (Park & Hwang,
2010; Xiang et al., 2023; Zhao et al., 2022), and
thus may influence such cycles by removing
HMs from the sediment (Machado et al., 2024;
Sarma et al., 2024; Zada et al., 2021).
Algae are a diverse group of photosynthetic
eukaryotes (Friedl et al., 2011; Kaštovsky et
al., 2019) that have multiple uses, including as
alternative energy sources (Hannon et al., 2010;
Mohite et al., 2024; Neeti et al., 2023), in water
treatment (Abdel-Raouf et al., 2012; Bhatt et
al., 2022; Molinuevo-Salces et al., 2019), and in
industry, especially in food production such as
Undaria pinnatifida, Wolffia globosa, Spirogyra
etc., (Matos et al., 2022; Naik et al., 2024). Algae
are high in protein, vitamins, lipids, minerals,
and essential fatty acids (de Oliveira & Bragot-
to, 2022; Kent et al., 2015; Wu et al., 2023).
The people inhabiting the Chi River Basin
use algae of the genus Spirogyra (Phylum Chlo-
rophyta, Family Spirogyraceae), known locally
as Tao, as a commodity. Spirogyra can also be
used as a bioindicator of pollution, including
the HMs that can contaminate the water and
sediments in reservoirs (Rajfur et al., 2010;
Shing et al., 2018; Wijaya et al., 2025). The
analysis of pertinent elements in ecosystems
(Ewing & Weathers, 2021; Lobus & Kulikovs-
kiy, 2023; Spohn et al., 2021) includes the
interactions between HMs in sediments and
algae. Understanding these relationships in
ecosystems allows for better environmental
management. In this study, we aimed to assess
the hazards to human health posed by specific
HMs in the sediments and Spirogyra of the Chi
River basin in Thailand.
MATERIAL AND METHODS
Water conditions and study sites: The
basic data characterizing the aquatic environ-
ments at the study sites are provided in Table 1.
The pH, electrical conductivity, percentage of
sodium chloride (NaCl) in the water, and the
water temperature were measured, and the
sample locations were recorded as Universal
Transverse Mercator (UTM) coordinates. Fig. 1
shows the area of the river basin. The types of
Objetivo: Evaluar las concentraciones de metales pesados en sedimentos y Spirogyra, y analiza sus posibles riesgos
para la salud humana.
Métodos: Se analizaron la calidad del agua, Spirogyra y sedimentos de la cuenca del río Chi para detectar metales
pesados mediante ICP-OES; los riesgos para la salud humana se evaluaron mediante THQ y HI, y la contamina-
ción de los sedimentos se determinó con los índices Igeo, EF, CF y PLI.
Resultados: Los metales pesados (Cd, Cu, Fe, Mn, Zn) en sedimentos y Spirogyra de la cuenca del río Chi fueron
evaluados bajo condiciones promedio del agua (pH 7.49, CE 497 µS cm-2, NaCl 0.024 %, 24.9 ± 3.52 °C), mos-
trando concentraciones en algas (Fe > Mn > Zn > Cu > Cd) con THQ y HI < 1 que indican bajo riesgo para la
salud, mientras que los sedimentos (Mn > Fe > Zn > Cu > Cd) presentaron Igeo < 0, EF < 2, CF < 1 excepto para
Fe (CF = 8.31), PLI < 1, y correlaciones significativas entre Mn en algas con Cu y Mn en sedimentos, Cu con Fe
en algas, y Cd en algas con Fe en sedimentos.
Conclusiones: Los resultados indican que no existe una contaminación significativa por metales pesados en los
sedimentos ni en Spirogyra de la cuenca del río Chi. Sin embargo, debido a la elevada contaminación por Fe en los
sedimentos, se recomienda un monitoreo periódico para proteger la seguridad ecológica y alimentaria.
Palabras clave: Spirogyra; sedimento; metales pesados; Cuenca del río Chi
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water bodies the Spirogyra samples were col-
lected from are listed in Table 1. However, the
environmental conditions, including pH, elec-
trical conductivity (EC), and salinity, influence
the accumulation of toxins by altering their
chemical properties and bioavailability to liv-
ing organisms. They also influence the health
and functionality of living organisms regarding
toxin buildup.
Spirogyra collection: The Spirogyra sam-
ples were scooped from the water by hand,
after which they were cleaned with pure water,
packed in plastic zipper bags, and kept at -4
°C before being sent to the laboratory. In the
laboratory, the alga were air-dried for five h,
then dried at 60 °C in a hot oven for 120 h. The
water content of the Spirogyra was calculated
to have been around 91.9 ± 0.730 %. The dried
samples were ground and sifted through a No.
20 sieve, then collected in polyethylene tubes
before being maintained in the refrigerator at a
temperature of 4 °C.
Algal extraction and analysis of heavy
metals: The algae were prepared for extraction
Fig. 1. Sample Locations in the Chi River Basin.
Table 1
Water characteristics and types of water bodies at the study sites.
Location Water Characteristics Coordinates (UTM) Water B o dy
pH EC (µS cm–2)% NaCl Temperature Northing Easting Zone
1 7.97 495 0.05 27.3 °C 809847 1727556 47P Lake
2 7.67 194 0 23.7 °C 818007 1836476 47Q Canal
3 7.4 525 0.02 29.5 °C 267554 1805080 48Q Paddy Field
4 7.78 1.083 0.05 19.1 °C 290743 1809612 48Q Lake
5 6.66 188 0 25.2 °C 422056 1714464 48P Canal
Average 7.49 497 0.024 24.9 °C –– –– –– ––
SD 0.456 326 0.022 3.52 –– –– –– ––
Note: EC = electrical conductivity; % NaCl = percentage of sodium chloride (NaCl) in water soluble; SD = standard deviation.
4Revista de Biología Tropical, ISSN: 2215-2075 Vol. 73: e2025219, enero-diciembre 2025 (Publicado Dic. 08, 2025)
by mixing 0.1 mol l–1 of nitric acid (HNO3) and
0.1 mol l–1 of sodium hydroxide (NaOH) in a 50
ml volume with 1 g of sample in 100 ml conical
flasks. The flasks were agitated at 200 rpm for 6
h (Mehta & Gaur, 2005; Sheng et al., 2004). The
solution was then filtered. The HM analysis
was performed on the residue using inductively
coupled plasma atomic emission spectroscopy
(ICP-OEM) (PlasmaQuant 9100 series, Germa-
ny). Quality assurance and quality control pro-
cedures were performed on all 20 samples, as
well as the duplicates and blanks. The samples
were compared against multi-element standard
solutions from AccuStandard (USA).
Algae and health risk indicators: From
the algal samples, the target hazard quotient
(THQ) and hazard index (HI) (or sum of the
THQs) (Guerra et al., 2012; Javed & Usamni,
2016; Thummajitsakul et al., 2018) were calcu-
lated to assess the risk to human health. A THQ
of < 1 indicates little chance of the exposed per-
son experiencing any adverse effects. The THQ
was calculated as follows:
(1)
where EF is the exposure frequency from the
consumption of HMs in vegetables (365 days
year–1), with the assumption that the Spiro-
gyra is being eaten in the same way as fresh
vegetables; ED is the exposure duration during
the average lifetime of a Thai citizen (i.e., 75.2
years for adult males and 81.3 years for adult
females) (Thailand Board of Investment, 2025);
FIR is the food ingestion rate of a Thai citizen,
equal to 0.268 kg person–1 day–1 for adult males
and 0.283 kg person–1 day–1 for adult females
(Thummajitsakul et al., 2018); C is the quantity
of HMs in the algae (mg kg–1); RFD is the oral
references dose, which is 0.001 mg kg–1 day–1
for cadmium (Cd), 0.04 mg kg–1 day–1 for cop-
per (Cu), 0.7 mg kg–1 day–1 for iron (Fe), 0.14
mg kg–1 day–1 for manganese (Mn), and 0.3
mg kg–1 day–1 for zinc (Zn) (Thummajitsakul
et al., 2018; U.S. Environmental Protection
Agency, 1988); WAB is the average body weight
of a Thai citizen (68.83 kg for adult males and
57.4 kg for adult females) (Thummajitsakul et
al., 2018); and TA is the average exposure time
for HMs (ED × 365 days year–1).
The HI was used to estimate the overall
potential health risk from more than one HM,
based on the following:
HI = THQCd + THQCu + THQFe + THQMn + THQZn (2)
where HI < 1 indicates no significant health
risk.
Sediment collection and extraction:
Approximately 5 kg of sediment was collected
at each site, placed in plastic bags, and kept in
a box for transport from the field to the labora-
tory, where the sediment was dried at 105 °C in
a hot oven for 120 h, after which it was ground
using a mortar and pestle. After being passed
through a No. 4 (10 mm) sieve, the sediment
was extracted for use in ICP-OES analysis. For
this, 2 g of each prepared soil sample was mixed
with concentrated hydrofluoric acid (HF), con-
centrated perchloric acid (HClO4), and con-
centrated HNO3 at a ratio of 1 : 1 : 1 for a total
volume of 20 ml. Extraction was performed
at 500 °C in a SpeedDigester K-425 BUCHI
instrument (Switzerland). Each residue was
rinsed with 1 % HNO3 and passed through filter
paper. The supernatant was transferred to a 50
ml volumetric flask, and 1 % HNO3 was added
for continued ICP-OES analysis (PlasmaQuant
9100 series, Germany). The quality assurance
and quality control procedures ensured that all
20 samples, as well as duplicates and blanks,
were collected, processed, and examined to
standard. The samples were compared against
ICP-OEM multi-element standard solutions
(AccuStandard, USA).
Sediment indicators: The quality of the
sediment was assessed by several indicators:
the geo-accumulation index (Igeo), the enrich-
ment factor (EF), and the contamination factor
(CF). The Igeo was originally formulated by
Muller (1980) and is a quantitative measure of
pollution in aquatic sediments (Kroeksakul et
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Revista de Biología Tropical, ISSN: 2215-2075, Vol. 73: e2025219, enero-diciembre 2025 (Publicado Dic. 08, 2025)
al., 2023; Nobi et al., 2010), developed through
an understanding of the lithogenic effect, and
calculated using the following formula:
Igeo = log2 [Cn / 1.5Bn] (3)
where Cn is the measured concentration of an
element in the sediment; and Bn is the back-
ground value of the element. The interpreted
values of Igeo are: < 0 = not polluted; 0-1 = not
polluted to moderately polluted; 1-2 = mod-
erately polluted; 2-3 = moderately to strongly
polluted; 3-4 = strongly polluted; 4-5 = strongly
to extremely polluted, and > 5 = extremely
polluted.
The EF was calculated in the following
way:
EF = (C / RE) sample / (C / RE) background (4)
where (C/RE) sample (background) is the
concentration (C) of an element compared
to a reference element (RE) in the sample
(background). Aluminum (Al) was used as the
reference element because it is a major compo-
nent of clay. The interpreted values of the EF
are: < 2 = deficiency in mineral enrichment;
2-5 = moderate enrichment; 5-20 = significant
enrichment; 20-40 = very high enrichment; and
> 40 = extremely high enrichment.
The CF was approximated as the observed
concentration of an element in the sample (Ci)
to the background level of the same element
(Cb), as follows:
CF = Ci / Cb (5)
The interpreted values of the CF are: < 1 =
low pollution level; 1-3 = moderate pollution
level; 3-6 = considerable pollution level; and >
6 = very high pollution level. The background
element values for the Igeo, EF, and CF calcula-
tions were taken from reference data for Al,
Cu, Fe, and Zn in Potipat et al. (2015). The Cd
background references were obtained from the
Land Development Department (2012), and
the Mn background references were from Czar-
nowska and Gworek (1990). The CFs were used
to calculate the pollution load index (PLI) that
was used to measure the general contamination
level, as follows:
PLI = x CF2 x CF3….CFn (6)
where n is the number of observed elements.
The interpreted values of the PLI are: 0 =
unpolluted; < 1 = baseline level for no pollu-
tion; and > 1 = polluted.
Statistical analysis: The data were analyzed
using one-way analysis of variance, and the dif-
ferences between datasets were compared using
a least significant difference (LSD) test with p <
0.05. The correlations were assessed using Pear-
sons correlation coefficient (r). All analyses
were conducted using Statistical Package for the
Social Sciences (SPSS) v.22 software.
RESULTS
Heavy metal content in Spirogyra: The
HM contents determined in the Spirogyra sam-
ples are listed in Table 2. The Cd and Cu con-
tents in the algae from Site 5 were significantly
greater than those from Sites 1, 2, and 3 (p <
0.05), and the Fe content in the algae from Site
5 was significantly greater than at Sites 1, 2, and
3 (p < 0.05). The Mn content in the algae from
Site 5 was less than at Sites 1 and 2, and the
Zn content in algae. The HM contents in the
Spirogyra samples were mostly Fe (about 80 %)
(Fig. 2).
Human health risk assessment: The peo-
ple of the Chi River Basin use Spirogyra to
make a salad the locals call “Laab Tao, and this
may become useful as a food resource in the
future. The THQs occurred in the order Mn
> Fe > Cu > Zn > Cd for males and Cu > Fe >
Mn > Zn > Cd for females (Table 3). The THQ
values were < 1, and the HI value for the adult
males averaged 5.490 ± 1.512 x 10–4 higher than
the adult female average of 122 ± 63.9 x 10–4.
The HI values for the adult males and females
were both < 1, indicating no significant risk to
human health.
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Heavy metals in the sediments: In the
sediment samples, Cd averaged 0.005 ± 0.000
mg kg-1 dry weight, and the amount from Site
2 (0.004 ± 0.000 mg kg-1) was significantly less
(p < 0.05) than at Sites 1, 3, 4, and 5. The Cu
content from Site 4 averaged 0.713 ± 0.026 mg
kg-1, which was significantly less (p < 0.05)
than at Sites 1 and 2. At all sites, the Fe and
Mn contents were both significant (p < 0.05).
The Zn content at Site 3 averaged 36.0 ± 16.0
mg kg–1 and was significantly higher (p < 0.05)
than at the other sites. The HM contents in the
sediments are presented in Table 4 and illus-
trated in Fig. 3. The Mn content was about 59
% of the total HMs in the sediments, and Fe was
the most abundant HM in the algae (Fig. 3F).
Fig. 2. The HM content in Spirogyra by site. A. Cd, B. Cu, C. Fe, D. Mn, E. Zn, F. Percentage of five HMs in Spirogyra.
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Table 2
Heavy metal contents in Spirogyra in the Chi River Basin.
Location Heavy Metal Dry Weight in Spirogyra (mg kg–1)
Cd Cu Fe Mn Zn
Site 1 0.030(± 0.039)a0.626(± 0.015)a175(± 6.91)a207(± 21.1)a6.09(± 0.263)a
Site 2 0.007(± 0.000)a1.09(± 0.981)a37.2(± 49.4)a222(± 160)a11.6(± 11.0)a
Site 3 0.007(± 0.000)a0.670(± 0.538)a326(± 546)a86.9(± 43.3)ab 2.63(± 1.58)a
Site 4 0.007(± 0.000)a1.65(± 0.842)ab 900(± 6.91)ab 55.7(± 5.52)b8.97(± 0.539)a
Site 5 0.007(± 0.000)a3.13(± 1.87)b2.920(± 2.616)b125(± 0.463)ab 11.4(± 0.759)a
Average 0.012(± 0.017) 1.43(± 1.30) 872(± 1541) 139(± 92.9) 8.13(± 5.50)
Note: a, b Difference is significant at p < 0.05 (LSD); Cd = cadmium; Cu = copper; Fe = iron; Mn = manganese; Zn = zinc.
Table 3
THQs and HIs for Spirogyra as a measure of heavy metals contamination in male and female adults (Aged over 15 years).
Location THQ (mean ± SD) HI
(mean ± SD) (x 10–4)*
Cd (x 10–4)* Cu (x 10–4)* Fe (x 10–4)* Mn (x 10–4)* Zn (x 10–4)*
Male
Site1 1.20(± 1.27) 0.61(± 0.01) 9.79(± 0.31) 8.095(± 673) 0.79(± 0.03) 8.108(± 672)
Site2 0.29(± 0.01) 1.06(± 0.78) 2.07(± 2.25) 8.644(± 5.095) 1.51(± 1.17) 8.649(± 5,099)
Site3 0.30(± 0.00) 0.65(± 0.43) 18.1(± 24.8) 3.385(± 1.473) 0.34(± 0.17) 3.405(± 1,499)
Site4 0.29(± 0.00) 1.61(± 0.67) 50.0(± 44.5) 2.169(± 175) 1.16(± 0.06) 2.222(± 167)
Site5 0.28(± 0.01) 3.05(± 1.49) 162(± 118) 4.900(± 14.7) 1.48(± 0.08) 5.067(± 123)
Average 0.47(± 0.26) 1.40(± 0.68) 48.5(± 38.1) 5.438(± 1,486) 1.06(± 0.30) 5.490(± 1,512)
Female
Site1 1.51(± 1.61) 12.39(± 0.40) 73.2(± 6.09) 7.51(± 0.26) 1.00(± 0.04) 95.6(± 4.48)
Site2 0.37(± 0.01) 2.62(± 2.84) 78.1(± 46.0) 14.3(± 11.1) 1.91(± 1.48) 97.3(± 61.5)
Site3 0.38(± 0.00) 23.0(± 31.4) 30.6(± 13.3) 3.24(± 1.60) 0.43(± 0.21) 57.7(± 46.2)
Site4 0.37(± 0.00) 63.4(± 56.4) 19.6(± 1.59) 11.0(± 0.54) 1.47(± 0.07) 95.9(± 56.1)
Site5 0.36(± 0.01) 205(± 150) 44.3(± 0.13) 14.0(± 0.76) 1.87(± 0.10) 266(± 151)
Average 0.60(± 0.33) 61.4(± 48.3) 49.1(± 13.4) 10.0(± 2.86) 1.34(± 0.38) 122(± 63.9)
Note: *x 10–4 means the value in the table must be divided by 10 000 to obtain the actual value; Cd = cadmium; Cu = copper;
Fe = iron; Mn = manganese; Zn = zinc.
Table 4
Heavy metal contamination in the sediment by study site.
Location Heavy metal dry weight in sediment (mg kg-1)
Cd Cu Fe Mn Zn
Site1 0.005(± 0.000)a2.07(± 0.228)a725(± 23.6)a857(± 30.5)a5.64(± 0.114)a
Site2 0.004(± 0.000)b2.72(± 1.07)a260(± 22.5)b920(± 27.0)b6.51(± 1.03)a
Site3 0.005(± 0.000)ac 1.41(± 0.029)ab 47.2(± 7.94)c37.7(± 1.23)c36.0(± 16.0)b
Site4 0.005(± 0.000)ac 0.713(± 0.026)b211(± 10.1)d208(± 13.8)d3.21(± 0.356)a
Site5 0.005(± 0.000)c1.52(± 0.052)ab 164(± 26.8)e90.6(± 10.9)e5.37(± 0.103)a
Average 0.005(± 0.000) 1.68(± 0.811) 281(± 241) 422(± 398) 11.3(± 14.2)
Note: a, b, c, d, e Difference is significant at p < 0.05 (LSD); Cd = cadmium; Cu = copper; Fe = iron; Mn = manganese; Zn = zinc.
8Revista de Biología Tropical, ISSN: 2215-2075 Vol. 73: e2025219, enero-diciembre 2025 (Publicado Dic. 08, 2025)
Sediment quality analysis: The Igeo values
for Cu and Fe in the sediments from all sites
were < 0, indicating no significant pollution.
The Mn from Sites 1 and 2 had values > 0, indi-
cating moderately polluted, with Sites 3, 4, and
5 being < 0. The Zn at all sites had Igeo < 0. The
ranking of the mean Igeo values was in the order
Mn > Zn > Cu > Fe > Cd. The statistics for the
comparisons between sites and Igeo values are
listed in Table 5 and shown in Fig. 4. The EF
values were < 1, indicating no enrichment or
a minimal effect from human activities. The
mean EF values were in the order Mn > Zn >
FE > Cu > Cd. The statistics for the sites and EF
values are presented in Table 5 and Fig. 4. The
CF values for Cd, Cu, Mn, and Zn were < 1,
Fig. 3. Heavy metal content in the sediment by Site. A. Cd, B. Cu, C. Fe, D. Mn, E. Zn, F. Percentages of five HMs in Spirogyra.
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indicating low pollution levels, although the
CF value of Fe (8.31 ± 7.12) indicates a very
high pollution level. The PLI values at each site
were < 1, indicating no significant pollution
in the Spirogyra habitat in the Chi River basin
(Table 6).
Relationship between heavy metal con-
tents in Spirogyra and sediments: The rela-
tionship between the HMs in the Spirogyra and
sediment samples was evaluated using Pearsons
r. There were positive correlations between Cd
in the algae and Fe in the sediment (r = 0.530,
p < 0.05), between Mn in the algae and Cu in
the sediment (r = 0.920, p < 0.01), Mn in the
algae and Mn in the sediment (r = 0.669, p <
0.01), and Zn in the algae and Mn in the sedi-
ment (r = 0.920, p < 0.01). There was a negative
correlation between Mn in the algae and Cd in
the sediment (r = -0.530, p < 0.05). The cor-
relations among the other HMs are presented
in Table 7.
Factor analysis of heavy metal contents
in Spirogyra and sediments: The HMs were
used as parameters in a principal component
analysis (PCA). Prior to the analysis, the HM
contents of the Spirogyra and sediment sam-
ples were tested using the Kaiser-Meyer-Olkin
(KMO) and Bartlett tests. The KMO measure
of sampling adequacy was 0.419, and there was
a significant difference between the eigenval-
ues (p < 0.001) (Table 8). The PCA identified
three principal components (PCs) with eigen-
values > 1.5 that collectively explained 80.3 %
of the total variance in the dataset (Table 9 and
Table 5
Heavy metal contamination of Spirogyra reservoir habitats in the Chi River basin.
Indicator HM
Cd Cu Fe Mn Zn
Igeo
Site1 -9.06(± 0.002)a-4.62(± 0.164)ad -6.48(± 0.047)a0.827(± 0.051)a-5.40(± 0.029)a
Site2 -9.19(± 0.014)b-4.29(± 0.526)a-7.97(± 0.127)b0.929(± 0.042)a-5.20(± 0.239)a
Site3 -9.06(± 0.003)ac -5.16(± 0.029)b-10.4(± 0.242)c-3.67(± 0.046)b-2.83(± 0.721)b
Site4 -9.05(± 0.002)ac -6.15(± 0.053)c-8.26(± 0.068)b-1.21(± 0.095)c-6.21(± 0.163)c
Site5 -9.04(± 0.003)c-5.06(± 0.050)d-8.64(± 0.239)d-2.42(± 0.169)d-5.47(± 0.027)a
Average -9.08(± 0.056) -5.05(± 0.687) -8.36(± 1.32) -1.11(± 1.86) -5.02(± 1.22)
EF
Site1 0.002(± 0.000)a0.061(± 0.006)ab 0.016(± 0.000)a0.266(± 0.009)a0.035(± 0.000)a
Site2 0.002(± 0.000)b0.080(± 0.031)a0.005(± 0.000)b0.285(± 0.008)b0.040(± 0.006)a
Site3 0.002(± 0.000)ac 0.041(± 0.000)bc 0.001(± 0.000)c0.011(± 0.000)c0.226(± 0.100)b
Site4 0.002(± 0.000)ac 0.021(± 0.000)c0.004(± 0.000)d0.064(± 0.004)d0.020(± 0.002)a
Site5 0.002(± 0.000)c0.044(± 0.001)bc 0.003(± 0.000)e0.028(± 0.003)e0.033(± 0.000)a
Average 0.002(± 0.000) 0.049(± 0.023) 0.06(± 0.005) 0.131(± 0.123) 0.071(± 0.089)
CF
Site1 0.000(± 0.000)a1.22(± 0.134)ac 21.3(± 0.697)a0.266(± 0.009)a0.035(± 0.000)a
Site2 0.000(± 0.000)b1.60(± 0.629)a7.67(± 0.664)b0.285(± 0.008)b0.040(± 0.006)a
Site3 0.000(± 0.000)a0.834(± 0.017)bc 1.39(± 0.234)c0.011(± 0.000)c0.226(± 0.100)b
Site4 0.000(± 0.000)ac 0.419(± 0.015)b6.24(± 0.298)d0.064(± 0.004)d0.020(± 0.002)a
Site5 0.000(± 0.000)c0.894(± 0.030)c4.85(± 0.791)e0.028(± 0.003)e0.033(± 0.000)a
Average 0.000(± 0.000) 0.994(± 0.477) 8.31(± 7.12) 0.131(± 0.123) 0.071(± 0.089)
Note: a, b, c, d, e Difference significant at p < 0.05 (LSD); Igeo = Geo-Accumulation index; EF = Enrichment Factor; CF =
Contamination Factor; Cd = cadmium; Cu = copper; Fe = iron; Mn = manganese; Zn = zinc.
10 Revista de Biología Tropical, ISSN: 2215-2075 Vol. 73: e2025219, enero-diciembre 2025 (Publicado Dic. 08, 2025)
Fig. 4. Sediment quality in the reservoir habitat of Spirogyra in the Chi River basin. A. Igeo, B. EF, C. CF.
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Revista de Biología Tropical, ISSN: 2215-2075, Vol. 73: e2025219, enero-diciembre 2025 (Publicado Dic. 08, 2025)
Fig. 5A), with each of the three components
explaining > 10 % of the variance. The most
important contributors to PC1 were Mn in the
algae (0.878), Cu in the sediment (0.927), and
Mn in the sediment (0.714). This group is indi-
cated by the red ellipse in Fig. 5B. For PC2, the
factor loading of Cu of the algae was 0.976 and
Fe in the algae was 0.882. This group appears in
the green ellipse in Fig. 5B. For PC3, the factor
loading of Cd in the algae was 0.734 and Fe in
the sediment was 0.907. This group is shown in
the yellow ellipse in Fig. 5B.
DISCUSSION
This study found that the measured heavy
metal levels in Spirogyra were below Thailands
food safety standards, which stipulate that cad-
mium concentrations in dried seaweed must
not surpass 2 mg kg-¹, and the test results con-
firmed compliance with these standards.
According to the Pollution Control Depart-
ments criteria (2022), the concentration of
heavy metals in sediments does not surpass the
critical contamination thresholds for freshwater
sources, which specify that Cd must be below
Table 7
Correlation between heavy metals contents in the sediment (Soi) and Spirogyra (Al) in the Chi River basin.
Cd-Al Cu-Al Fe-Al Mn-Al Zn-Al Cd- Soi Cu- Soi Fe- Soi Mn- Soi Zn- Soi
Cd-Al 1 –– –– –– –– –– –– –– –– ––
Cu-Al –– 1 –– –– –– –– –– –– –– ––
Fe-Al –– .935** 1 –– –– –– –– –– –– ––
Mn-Al –– –– –– 1 –– –– –– –– –– ––
Zn-Al –– .568*–– .645** 1 –– –– –– –– ––
Cd- Soi –– –– –– –.530*–– 1 –– –– –– ––
Cu- Soi –– –– –– .920** .520*–.719** 1 –– –– ––
Fe- Soi .530*–– –– –– –– –– –– 1 –– ––
Mn- Soi –– –– –– .669** –– –.687** .706** .728** 1 ––
Zn- Soi –– –– –– –– –– –– –– –– –– 1
Note: * two-tailed p < 0.05; ** two-tailed p < 0.01; Cd-Al = cadmium in algae, Cu-Al = copper in algae, Fe-Al = iron in algae,
Mn-Al = manganese in algae, Zn-Al = zinc in algae, Cd-Soi = cadmium in sediment, Cu-Soi = copper in sediment, Fe-Soi =
iron in sediment, Mn-Soi = manganese in sediment, Zn-Soi = zinc in sediment.
Table 8
Results of the KMO and Bartlett tests on the heavy metal
contents of Spirogyra and the Sediments in the Chi River
basin.
KMO Measure of Sampling Adequacy 0.419
Bartlett’s Test of Sphericity Approximate
Chi Square 177.592
Degrees of Freedom 45
Significance .000
Table 6
PLI values for the sediments from Spirogyra reservoir habitats in the Chi River basin.
Location PLI Meaning
Site1 0.0001169(± 0.00000609)aNo pollution
Site2 0.0000855(± 0.00002124)bNo pollution
Site3 0.0000127(± 0.00000156)cNo pollution
Site4 0.0000139(± 0.00000118)cNo pollution
Site5 0.0000152(± 0.00000196)cNo pollution
Average 0.0000448(± 0.00000641) No pollution
Note: a, b, c, d, e Difference is significant at p < 0.05 (LSD).
12 Revista de Biología Tropical, ISSN: 2215-2075 Vol. 73: e2025219, enero-diciembre 2025 (Publicado Dic. 08, 2025)
1 mg kg–1, Cu must be below 31 mg kg–1, and
Zn must be below 120 mg kg–1 (calculated on
a dry weight basis), Fe and Mn are excluded
from the standards due to the significant vari-
ability in their baseline values, which rely on
the sediment source and mineral composition,
rendering a constant control value unattainable.
However, in the natural aquatic ecosystems,
the concentration of heavy metals in sediments
is influenced by both geological factors (parent
material) and anthropogenic activities associ-
ated with the adjacent land use, including agri-
culture, industry, and transportation (Akhtar et
al., 2021; Zha et al., 2024). Consequently, even
though Fe concentrations may be elevated, they
typically do not reach levels that are considered
to be severely polluted when combined with
the Igeo and EF. The accumulation of minerals
from source materials that have been deposited
in sediments for an extended period or from
lithogenic materials within the reservoir may
be the cause of high Fe values (Abdullah et al.,
2020; Fadlillah et al., 2023).
Spirogyra as a possible future food, the
“Future food” is a concept representing food
security and sustainability, referring to the
food’s safety and nutritional value (Çakmakçı
et al., 2024; Galanakis, 2024). The concept
also covers food processing and production.
The dry-weight nutrient content of Spirogyra
includes 12-24 % protein by dry weight, about
43-62 % carbohydrates, and about 15-21 % fats
(Saragih et al., 2019; Sitthiwong, 2019; Yong-
khamcha & Buddhakala, 2023). Regarding the
dietary requirements of minerals, such as Cu,
Fig. 5. Results of the PCA of the heavy metal contents of Spirogyra and the sediments in the Chi River basin. A. Eigenvalues
of the PCA components, B. PC Loadings.
Table 9
Results of the PCA of the heavy metal contents of
Spirogyra and the sediments in the Chi River basin.
PC Component
123
% Variance 39.4 25 15.9
Cumulative % 39.4 64.4 80.3
Eigenvalue 3.93 2.5 1.59
Cd-Alg –0.061 –0.152 0.734
Cu-Alg –0.029 0.976 –0.126
Fe-Alg –0.265 0.882 –0.079
Mn-Alg 0.878 0.116 0.253
Zn-Alg 0.630 0.648 –0.010
Cd-Sed –0.853 0.209 0.132
Cu-Sed 0.927 –0.020 0.158
Fe-Sed 0.215 –0.141 0.907
Mn-Sed 0.714 –0.271 0.562
Zn-Sed –0.169 –0.391 –0.576
Note: PCs = Components; Cd-Al = cadmium in algae;
Cu-Al = copper in algae; Fe-Al = iron in algae; Mn-Al
= manganese in algae; Zn-Al = zinc in algae; Cd-Soi =
cadmium in sediment; Cu-Soi = copper in sediment; Fe-Soi
= iron in sediment; Mn-Soi = manganese in sediment;
Zn-Soi = zinc in sediment.
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Revista de Biología Tropical, ISSN: 2215-2075, Vol. 73: e2025219, enero-diciembre 2025 (Publicado Dic. 08, 2025)
Fe, Mn, and Zn, Spirogyra had a Cu content of
1.43 ± 1.30 mg kg-1, with an Fe content averag-
ing 872 ± 1.541 mg kg-1, Mn averaging 139 ±
92.9 mg kg-1, and Zn averaging 18.13 ± 5.50
mg kg-1. Our results indicate that the mineral
content in the Spirogyra is sufficient to meet
recommended daily consumption levels (U.
S. Department of Health and Human Servic-
es, 2025). However, there have been concerns
about the quantity of Cd in the algae associated
with the Fe content in the sediment. We found
that Fe in the sediment averaged 281 ± 241 mg
kg-1 dry weight, and the CF was relatively high
(8.31 ± 7.12), indicating a very high pollution
level. Thus, it will be necessary to monitor the
Cd contents of the algae for consumer safety.
However, the efficacy of each algal species as
bioindicators is contingent upon the environ-
mental and climatic conditions (Anabtawi et
al.,2024; Omar, 2010).
The HM contents in Spirogyra samples
from the Chi River basin occurred in the order
Fe > Mn > Zn > Cu > Cd (85.4 : 13.6 : 0.8 :
0.1 : 0, respectively). The THQ and HI values
for adult males and females indicated no sig-
nificant risks to human health from consuming
the algae. The HM contents in the sediments
occurred in the order Mn > Fe > Zn > Cu > Cd
(58.9 : 39.2 : 1.6 : 0.2:0, respectively). The Igeo
values at all sites were < 0. A deficiency in HM
enrichment was indicated by EF values < 2, and
the CF values for Cd, Cu, Mn, and Zn were <
1, indicating low pollution levels. The CF value
for Fe (mean = 8.31) indicated a high pollution
level, however, especially at Site 1 (21.3), possi-
bly due to human activity around the reservoir.
A PLI value of < 1 indicated no pollution in the
aquatic habitats of Spirogyra in the Chi River
basin. An analysis of the relationships between
the HMs and the algae and the sediments iden-
tified three associations-Mn in the algae and Cu
and Mn in the sediment (PC1), Cu and Fe in
the algae (PC2), and Cd in the algae and Fe in
the sediment (PC3). Spirogyra in the Chi River
Basin is suitable for future food development,
but the Fe content in the sediment should be
monitored because it was positively correlated
with Cd in the algae.
Ethical statement: The authors declare
that they all agree with this publication and
made significant contributions; that there is no
conflict of interest of any kind; and that we fol-
lowed all pertinent ethical and legal procedures
and requirements. All financial sources are fully
and clearly stated in the acknowledgments sec-
tion. A signed document has been filed in the
journal archives.
ACKNOWLEDGMENT
The research was supported by a generous
scholarship from Thailand Science Research
and Innovation (TSRI), transferred to Sri-
nakharinwirot University (Code: 026/2568),
and I would like to thank the Faculty of Envi-
ronmental Culture and Ecotourism for their
analysis tools.
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