Toxicity bioassay of waste cooking oil-based biodiesel on marine microalgae

Highlights

• •The individual components of the biodiesel had a lower toxicity threshold than in the complex mixture.
• •The B20 sample proved to be the most toxic for the red algae P. purpureum.
• •The B100 sample showed the highest level of toxicity for the microalgae A. ussuriensis, C. muelleri and H. akashiwo.
• •The sample of petroleum diesel B0 showed less toxicity compared to B20 and B100.

Abstract

The world biodiesel production is increasing at a rapid rate. Despite its perceived safety for the environment, more detailed toxicity studies are mandatory, especially in the field of aquatic toxicology. While considerable attention has been paid to biodiesel combustion emissions, the toxicity of biodiesel in the aquatic environment has been poorly understood. In our study, we used an algae culture growth-inhibition test (OECD 201) for the comparison of the toxicity of B100 (pure biodiesel), produced by methanol transesterification of waste cooking oil (yellow grease), B0 (petroleum diesel fuel) and B20 (diesel-biodiesel blended of 20% biodiesel and 80% petroleum diesel fuel by volume). Two marine diatoms Attheya ussuriensis and Chaetoceros muelleri, the red algae Porphyridium purpureum and Raphidophyte Heterosigma akashiwo were employed as the aquatic test organisms. A sample of biodiesel from waste cooking oil without dilution with petroleum diesel (B100) showed the highest level of toxicity for the microalgae A. ussuriensis, C. muelleri and H. akashiwo, compared to hexane, methanol, petroleum diesel (B0) and diluted sample (B20). The acute EC₅₀ in the growth-inhibition test (96 h exposure) of B100 for the four species was in the range of 3.75–23.95 g/L whereas the chronic toxicity EC₅₀ (7d exposure) was in the range of 0.42–16.09 g/L.

1. Introduction

Biodiesel is a fuel composed of fatty acid alkyl esters made by transesterification of fatty acids (triglycerides) from plant oils or animal fats. Biodiesel was proposed as a “green” alternative for fossil fuel and with the intention of causing lower impact on human health and the environment by reduction of combustion derived hydrocarbons, carbon monoxide, polycyclic aromatic hydrocarbons (PAHs), and particulate matter (PM) [1]. However, concrete evidence which supports the reduced toxicity of biodiesel emissions is lacking. It is also apparent that biodiesel toxicity depends on the chemical composition and properties of the biodiesel made from diverse feedstocks which in turn can vary considerably. The impact of biodiesel on living systems is under intensive investigation using a variety of bioassays [2].

Residues of oils after cooking and from food waste, cleaning residues and animal fat wastes are a cheap source for biodiesel production and are widely used on an industrial scale. Used oils contain a high concentration of free fatty acids (FFA). According to the FFA content, used cooking oils are divided into two groups: yellow fat (FFA < 15%) and brown fat (FFA > 15% and water). Yellow fats are a common source of biodiesel and can be used after filtration and cleaning [[3], [4], [5]]. The world population growth has led to an increase in the volume of food industry wastes and by-products. The use of these wastes for biodiesel production has been encouraged as an effective utilization of an otherwise wasted resource. Thus, biofuels from waste edible oils, which can differ in the initial composition of fatty acids and, consequently, in properties and levels of toxicity often enter the market. The composition of the common fatty acids used in the production of biodiesel is described in a number of works [[6], [7], [8], [9], [10]].

Much of the work on the toxicity of biofuels has focused on comparison of hazardous properties of diesel engine emissions with biodiesel alternatives [[11], [12], [13]]. However, only limited information is available on the aquatic toxicity of biodiesel or other biofuels. Petroleum-related pollutants are a worldwide threat to aquatic organisms and humans [[14], [15], [16], [17]], so the ecotoxicity of biodiesel biofuel needs to be examined in terms of its impact on such species.

Comparisons of published studies of biodiesel water toxicity can be problematic because procedures differ for preparation of oil-in-water dispersions (OWDs) or water-accommodated fractions (WAFs). The use of biodiesels from different feedstocks as well as the employment of different test organisms must be considered. Hence, there is a lack of uniformity in the conclusions reached; some studies suggest that the toxicity of petroleum diesel exceeds that of biodiesel with differences of up to 1000 fold [[18], [19], [20]]. Therefore, clarification of the risks of biodiesel to aquatic species must be made in view of the growing popularity and environmental exposure of these fuels.

In our study, we used an algae culture growth-inhibition test for evaluation of the toxicity of a petroleum diesel (B100) and a B20 blend (20% biodiesel and 80% petroleum diesel) of biodiesel from waste cooking oil. The use of a phytoplankton for the assessment of marine pollution is well documented [21,22]. These algae are one of the primary organisms in the food chain, playing a key role in toxin biomagnification to higher predators, such as zooplankton, fish and ultimately humans [23].

2. Material and methods

2.1. Chemicals

Fuel samples were obtained from the Primorsky Krai (Russian Federation) market as B100 (pure biodiesel), produced by methanol transesterification of waste cooking oil (yellow grease), B0 (diesel fuel) and B20 (diesel-biodiesel blend of 20% biodiesel and 80% diesel fuel by volume). Hexane and methanol were used for comparison control. Potassium bichromate (K₂Cr₂O₇) (source) was used as the positive control.

Propidium Iodide (PI), from Molecular Probes (Eugene, Oregon, USA), was used to measure cell death (or Growth-inhibition/vitality).

2.2. Microalgal cultures

Four species of seawater microalgae isolated from the Peter the Great Gulf (Sea of Japan, the Primorsky Krai, Far-Eastern Russia) were used as the test organisms. The test species included two marine diatoms Attheya ussuriensisand Chaetoceros muelleri, a red algae Porphyridium purpureum and Raphidophyte Heterosigma akashiwo and were cultured with Guillard’s f/2 medium [24]. Microalgal culture medium was provided by National Scientific Center of Marine Biology, Far Eastern Branch of the Russian Academy of Sciences (NSCMB FEB RAS).

Culturing and toxicity test conditions were according to OECD 201 standard and are presented in Table 1.

Table 1.

Culturing and toxicity test conditions.

Parameters	Culture conditions
Temperature	20 ± 2 °C
pH	8.0 ± 0.2
Salinity	33 ± 1‰
Light intensity	300 μmol∙m−2∙s-1, Cool White Fluorescent
Light cycle	12:12 h light:dark
Test type	Flow cytometry
Test duration	24 h, 96 h, 7d
Test chamber	24-well plate
Age of test organism	14-20 d, exponential growth phase
Initial bioassay cell density	1-5 × 103 cells mL−1
Control/diluent water	0.22 μm filtered seawater
Test endpoints	Growth-inhibition/vitality (Propidium Iodide)

The suitability of the each microalgae species as a test organism for the assay was carried out with the toxicant potassium bichromate. The results of microalgae sensitivity testing are presented in Table 2. Exposure of cells was carried out in 24-well plates. Each assay was run at concentrations of K₂Cr₂O₇ of 1, 2, 4, 8, 16, 32 mg/L. For each concentration and control group (without toxicant), the experiment was conducted in 4 replications. The volume of microalgae aliquots in each replication was 1.5 mL. The number of living cells was determined using a CytoFLEX flow cytometer (Beckman Coulter, USA) after 96 h (acute toxicity) and after 7 days (chronic toxicity). The calculation of EC₅₀ (growth inhibition) was performed using GraphPad Prism 7.04.

Table 2.

Preliminary testing of microalgae cultures sensitivity, mg L⁻¹.

Species	96-h LC50	7-d LC50
Attheya ussuriensis	>33.13	7.91 (7.00–8.96)
Porphyridium purpureum	1.18 (0.57–1.80)	0.15 (5,02e-005– 0,45)
Chaetoceros muelleri	>42.36	29.66 (24.00–38.20)
Heterosigma akashiwo	13.88 (12.10–15.62)	8.94 (7.89–10.17)

Thus, the species sensitivity trend from more sensitive to less sensitive was as follows:

P. purpureum>H. akashiwo>A. ussuriensis>C. muelleri

2.3. Liquid chromatography-mass spectrometry (LC–MS) analysis

Diesel fuel (B0), blended sample (B20), and straight biodiesel (B100) were analyzed by liquid chromatography–mass spectrometry (LC–MS).

2.4. Flow cytometry analysis

The algae-bioassay (24 h, 96 h and 7 days) was carried out to test the toxicity of the fuel samples. Twenty-four-well plates were used for cultivation of the microalgal species with the biofuel at concentrations of 1, 5, 10, 20, 40, 80, 120 g/L. As comparison controls, the same bioassays with hexane and methanol at concentrations of 5, 10, 20, 40, 80 g/L were carried out. Wells with only f/2 medium were the control group. For each concentration and control group there were four replications. The volume of microalgae aliquots in each replication was 1,5 mL.

The accurate counting of algal cells was provided at 24 h, 96 h and 7 days by flow cytometer CytoFLEX (Beckman Coulter, USA) with the software package CytExpertv.2.0. Each sample was measured with a flow rate 40 μL/min during 75 s. Cells viability was determined by staining with Propidium Iodide (PI) according to standard protocol [25].

The parameters for determination of the target group of cells were made by the determination of cells having autofluorescence for chlorophyll a (light source - laser 488 nm, emission filter - PC5.5, 690 nm) in the FSC/PC5.5 dot diagram and elimination of dead cells from this range. The cells were considered dead if they had fluorescence in PI (light source - laser 488 nm, emission filter - ECD, 610 nm) in a FSC/ECD dot diagram.

2.5. Statistical analysis

Statistical analysis was carried out using GraphPad Prism 7.04 (GraphPad Software, USA).

3. Results and discussion

The results of the LC–MS analysis for the biodiesel (B100), blended sample (B20) and diesel fuel (B0) are presented in Table 3.

Table 3.

LC–MS analysis of fuel samples.

№	Compound	B0 Diesel	B20 Blended sample	B100 Biodiesel
1	Methanol	>5%	15.0%
2	Ethanol	>5%	8.5%	3.8%
3	2-Pentene	0.3%	–	–
4	Hexane	>15%
5	Hexane,3-methyl	–	–	18.4%
6	Heptane	>70%	68.1%
7	Benzene,1,3-dimethyl	0.1%
8	Decane	0.1%	0.1%	–
9	Undecane	0.1%	0.1%	–
10	Octanoicacid, methyl ester			0.1%
11	Undecane, 2,6-dimethyl	0.1%	–	–
12	Dodecane, 4,6-dimethyl	0.1%	–	–
13	Tetradecane	0.1%	0.1%	–
14	Pentadecane	0.1%	0.1%	–
15	Hexadecane	0.1%	0.05%	–
16	Heptadecane	0.1%	0.1%	–
17	Metyltetradecanoate		–	0.1%
18	9-Hexadecanoic acid, methyl ester		–	0.1%
19	Hexadecanoicacid, methyl ester		1.0%	12.1%
20	9,12-Octadecanoic acid (z,z)-, methyl ester		–	0.1%
21	Heptadecanoicacid, methyl ester		–	0.1%
22	9-Octadecanoic acid, methyl ester	–	2.2%	–
23	9,12-Octadecanoic acid (z,z)-, methyl ester and 10,13-Octadecanoic acid, methyl ester		3.7%	15.6%
24	11-Octadecanoic acid, methyl ester		0.1%	–
25	8-Octadecanoic acid, methyl ester		–	30.0%
26	16-Octadecanoic acid, methyl ester and 9-Octadecanoic acid, methyl ester		–	12.5%
27	9,12,15-Octadecatrienoic acid, methyl ester and 7,10,13-Octadecatrienoic acid, methyl ester		–	0.5%
28	Octadecanoicacid, methyl ester		0.4%	4.7%
29	9,11-Octadecanoic acid, methyl ester		–	0.1%
30	8,11-Octadecanoic acid, methyl ester and 9,12-Octadecanoic acid, methyl ester		–	0.2%
31	9,12,15-Octadecatrienoic acid, methyl ester		–	0.1%
32	1,5,9,11-Tridecatetraene, 12-methyl		–	0.1%
33	11-Eicosenoic acid, methyl ester		–	0.3%
34	Eicosanoicacid, methyl ester		–	0.5%
35	Docosanoicacid, methyl ester		–	0.5%
36	Tetracosanoicacid, methyl ester		–	0.1%

The diesel fuel B0 consisted of alkanes (mainly n-heptane and n-hexane) plus methanol and ethanol (with latter two alcohols representing more than 10%) as additives. An insignificant content of unsaturated hydrocarbons was observed, including 0.1% of several aromatic compounds.

The blended sample B20 also consisted of alkanes (predominantly n-heptane), alcohols (about 23.5%) and a small amount of methyl esters of fatty acids.

The main components of the biodiesel sample B100 were methyl esters of fatty acids (77.6%). The predominant components were methyl esters of hexadecanoic acid (C16: 0) and methyl esters of saturated and unsaturated octadecanoic acids (C18: 0, C18: 1, C18: 2, C18: 3). In addition, BA100 contained ethanol (3.8%) and a significant amount of volatile organic compounds, such as 3-methylhexane (18.4%).

The toxicological properties of organic substances with different molecular structures often differ significantly. The assessment of individual hydrocarbons toxicity is based on the testing of model substances and the prediction of hazardous properties for substances having a similar structure; quantitative structure-activity relationship [26]. Hydrocarbons are divided into categories of substances with common properties by the number of carbon atoms, the content of common composite elements, the content of aromatic compounds, and the presence of components with unusual toxicity [4]. Consequently, the potential toxicity of individual hydrocarbons might be evaluating by using read-across hydrocarbons in general or to similar model substances for which the required data are available. To avoid underestimating the hazardous properties of a substance, the concept of a "reasonable worst case" is usually developed.

The toxic control and scientifically based regulation of petroleum or oil-based substances is a formidable challenge. Such chemicals of multi-constituent nature are defined as UVCB (Unknown or Variable Composition, Complex Reaction Products and Biological Materials) substances. Category read-across approaches for UVCBs may not always be sufficient. Thus, the concept of a potential hazardous chemical classification should be based on an integrative framework consisting of in vitro testing and high-throughput genomics data analyses for read-across assessment [27,28].

The only aliphatic hydrocarbon having an unusual toxicity is n-hexane. N-hexane is noted as an exception due to its toxicological properties that differ from the other aliphatic hydrocarbons with a similar structure or the same number of carbon atoms, including n-pentane, n-heptane, other hexane and heptane isomers, and cyclohexane. The unusual toxic properties of n-hexane are caused by the formation of a specific intermediate metabolite 2,5-hexanedione which, on the grounds of its structure, may interfere with the formation of microtubules and spindle fibers [29,30], leading to inhibition of meiosis [31].

Thus, in the existing literature, n-hexane and solvents containing n-hexane at levels > 5% are included in a separate category C6 (hexanes). C7-C9 (aliphatics) are classified separately. Among the tested samples n-heptane (B0- 70%, B20 - 68%) and 3-methylhexane (B100 - 18.4%) can be grouped into the category C7-C9.

According to McKee et al., [26] and the HPV documentation for this category of solvents [32], the C7–C9 aliphatic hydrocarbons are not genotoxic. The biodegradation of isoheptane in water was 51.3% after 28 days, and 60.2% after 60 days [33].

The toxicity of the fatty acid methyl esters (FAMEs) is still poorly understood. According to the OECD standard, FAMEs are not dangerous substances. All FAMEs are readily biodegrated in water, soil and sediment; within 10 days, 62% of FAMEs are biodegrated. However, the data on the water toxicity of biodiesel widely vary. The existing data on the water toxicity of the main components of the test samples on the most common small planktonic crustacean Daphnia magna and on the green algae Raphidocelis subcapitata (formerly known as Pseudokirchnerella subcapitata or Selenastrum capricornutum) are presented in Table 4.

Table 4.

EC₅₀, aquatic toxicity of the main components of tested samples, mg L⁻¹.

Species/Guideline	Test duration	Toxicant
		Methanol	Ethanol	n-hexane	C7-C9n-alkanes, isoalkanes	Fatty acids, C10-18 and C12-22-unsatd. alkyl esters
Daphnia magna OECD 202	24-h	20 803 [34]	13 715 [34]	1 000 [35]	10 [36]	n/a
	48-h	> 10 000 [37]	> 10 000 [37]	31.9 [35]	3.8 [38]	2 504 [39]
	96-h	18 260 [40]	n/a	n/a	n/a	n/a
Raphidocelis subcapitata OECD 201	24-h	n/a	n/a	n/a	n/a	n/a
	72-h	n/a	12 900 [38]	55 [35]	10 – 30 [38]	73 729 [39]
	96-h	22 000 [41]	10 000 [41]	n/a	13 [38]	>1 000 [39]

In our work n-hexane and methanol were used as comparison controls. For all studied substances the concentrations were determined, at which the cell growth rate was reduced by 50% (EC₅₀) compared to the control. The EC₅₀ values (with 95% confidence intervals) based on flow cytometry analysis and determined by GraphPad Prism 7.04 are presented in Table 5.

Table 5.

EC₅₀ values for microalgae species exposed to tested toxicants (g L⁻¹).

Toxin/Exposure	24-h EC50	96-h EC50	7-d EC50
Attheya ussuriensis
Hexane	–	>52.92	>57.37
Methanol	–	77.56 (55.99–132.2)	40.29 (30–57.48)
B0	>120	29.84 (25.19–35.14)	12.82 (11.39–14.40)
B20	>40	10.41 (9.40–11.44)	0.92 (0.76–1.07)
B100	19.69 (15.88–24.22)	9.83 (8.67–11.09)	0.72 (0.42–1.02)
Porphyridium purpureum
Hexane	–	10.54 (<19.23)	41.71 (<64.78)
Methanol	–	13.17 (11.26–15.50)	16.53 (12.17–21.21)
B0	35.05 (24.44–50.95)	20.44 (17.08–23.95)	12.33 (7.99–16.09)
B20	2.81 (1.44–4.52)	8.25 (7.51–9.05)	5.53 (5.16–5.98)
B100	7.72 (4.66–18.82)	9.89 (8.45–11.4)	6.59 (6.24–6.94)
Chaetoceros muelleri
Hexane	–	52.70 (46.91–58.09)	42.79 (42.58–43.00)
Methanol	–	>156.2	>108.1
B0	>120	51.81 (48.27–54.31)	>40
B20	10.89 (9.99–11.84)	6.50 (6.04–6.99)	–
B100	6.46 (5.98–7.02)	2.53 (2.19–2.93)	–
Heterosigma akashiwo
Hexane	–	30.41 (29.89–31.46)	27.24 (22.07–32.86)
Methanol	–	32.16 (31.26–33.05)	30.65 (26.28–33.38)
B0	>118.8	10.05 (9.01–11.14)	5.73 (4.75–6.63)
B20	13.74 (12.55–14.99)	17.51 (15.46–19.74)	˜2.40
B100	6.24 (5.67–6.84)	˜3.75	˜2.24

According to the results of the experiments for microalgae A. ussuriensis, C. muelleri and H. akashiwo, the maximum level of toxicity was shown by a sample of pure biodiesel B100 and the diesel-biodiesel blend B20 sample for the red alga P. purpureum.

P. purpureum was the most sensitive of the tested species for potassium bichromate.

n-Hexane and methanol proved to be the most stable for B100 and B20. In addition, P. purpureum and H. akashiwo showed the ability to adapt to the presence of the tested pollutants. So, for P. purpureum, the EC₅₀ increased for hexane and methanol following 7 days of exposure (chronic toxicity) compared to 96 h (acute toxicity), while for B20 and B100, an increase in the EC₅₀ was observed from 24 h to 96 h. On the 7^th day of the experiment the EC₅₀ decreased. H. akashiwo during the experiment adapts only to B20, showing an increase in the EC₅₀ from 24 h to 96 h and a sharp decrease in the EC₅₀ by the 7^th day. For the diatoms of C. muelleri and A. ussuriensis, the level of toxicity increased in direct proportion to the increase of cells exposure time. C. muelleri and H. akashiwo demonstrated the highest acute toxic effect for B100. The highest chronic toxicity was shown by A. ussuriensis for B20 and B100.

Comparison of the mortality rates of the four microalgae species under 96 h exposure to toxicants is shown in Fig. 1. The stimulating effect of low concentrations of n-hexane, B0 and B20 on the diatoms C. muelleri and A. ussuriensis is probably caused by a response to the presence of the petroleum hydrocarbons, using them as an additional source of carbon. The stimulation of microalgae growth due to low concentrations of the low molecular weight hydrocarbons is consistent with existing studies [42].

Fig. 1.

Mortality rates (mean) of four microalgae species in acute toxicity tests (96 h) of Hexane (blue), Methanol (red), Diesel fuel B0 (green), waste cooking oil biodiesel B100 (purple), diesel-biodiesel blend B20 (orange).

Many authors have reported biodiesel as a biodegradable and non-toxic fuel [5,43,44], but the sensitivity of these distinct species to different toxicants can widely vary, as indicated in the Fig. 2. In particular, the sensitivity and stability of the algae to specific pollutants can be different for different species [45] and for more reliable bio-testing it is preferable to use several species. It has been reported that biodiesel from used cooking oils can pose a significant danger to aquatic organisms [18].

Fig. 2.

The sensitivity of the four microalgae species to B100 and B20.

The sensitivity trend for potassium bichromate, hexane, methanol and diesel fuel B0 for the four microalgae was the same. However, the B100 biodiesel was more toxic for H. akashiwo and C. muelleri and was the least toxic for P. purpureum. The species sensitivity trend for B100 (biodiesel) was: H. akashiwo > C. muelleri > A. ussuriensis > P. purpureum, which is quite different compared to preliminary testing of microalgae sensitivity by potassium bichromate.

The toxicity level of diesel-biodiesel blend B20 is mostly similar to B100. A notable difference, however, is observed for H. akashiwo, where the microalgae cells showed a significantly greater resistance to B20 compared to pure biodiesel B100.

It is noteworthy that for all the algae, the toxicity level of samples containing biodiesel from waste cooking oil (B20 and B100) was higher than it was for hexane, methanol or diesel fuel. The results of our studies showed that the sample B20 containing 68.1% n-heptane, 15% methanol and 8.5% ethanol was significantly more toxic for all species than pure hexane, pure methanol and the sample B0 containing about 70% n-heptane, but with a fraction of methanol and ethanol (˜5%).

Several groups have reported [46,47] that when biodiesel enters the aquatic environment, the biodegradation of fuel gradually increases the concentration of methanol that is formed as a result of hydrolysis that converted the transesterification reaction. Thus, it is most likely that the high toxicity of B20 is associated with an increased content of alcohol.

Quality biodiesel consists mainly of fatty acid methyl esters, the low toxicity and biodegradability of which determines their safety o for the environment. The low toxicity of FAMEs has been shown in several studies [48,49]. However, based on our results, sample B100 consisting of 77.6% of FAMEs exhibited the greatest aquatic toxicity among all the samples tested. This was probably caused by the presence of the aliphatic iso-paraffinic constituent 3-methylhexane (18.4%) included in C7-C9 category of petroleum pollutants. These paraffins have a high aquatic ecotoxicity potential, possibility due to the increasing concentration of methanol following FAME hydrolysis.

4. Conclusions

The properties of biodiesel as a non-toxic and environmentally friendly alternative fuel may differ depending on the feedstock, the method of production and the chemical composition of the final product. Yassine, M. H., et al [50] remarked that the process of transesterification of biodiesel could be a critical factor in determining the aquatic toxicity of the fuel. At the same time, the combination of individual components with relatively low toxicity, can cause a synergistic effect and have unpredictable level of toxicity [[51], [52], [53], [54]]. Judging from the literature and our results, the individual components of the biodiesel (n-hexane, n-pentane, methanol, FAMEs) had a lower toxicity threshold than in the complex mixture.

The B100 sample showed the highest level of toxicity for the microalgae A. ussuriensis, C. muelleri and H. akashiwo in comparison with hexane, methanol, B0 and B20. The acute EC₅₀ in the growth-inhibition test (96 h exposure) of B100 for the four species of microalgae was in the range 3.75–23.95 g/L, while the chronic toxicity EC₅₀ (7 d exposure) ranged from 0.42 to 16.09 g/L.

B20 proved to be the most toxic for the red algae P. purpureum. The acute C₅₀ of the diesel-biodiesel blend B20 for the four microalgae species was in the range 6.04–19.74 g/L; the chronic toxicity EC₅₀ was from 0.76 to 5.98 g/L.

A sample of petroleum diesel B0 showed less toxicity compared to B20 and B100. The diatom microalga C. muelleri proved to be much resistant to B0. The presence of B0 in concentrations up to 20 g/L caused an increase in the rate of cell growth. The acute EC₅₀ of B0 for the four microalgae species was in the range 9.01–54.31 g/L; the chronic toxicity EC₅₀ was in the range of 4.75–40 g/L.

The findings of this study provide an important foundation for further investigation into the effects of such products on coastal aquatic ecosystems.

Competing interests

AT is the Editor-in-Chief for the journal, but had no personal involvement in the reviewing process, or any influence in terms of adjudicating on the final decision, for this article.