Exploring the prospective of weeds (Cannabis sativa L., Parthenium hysterophorus L.) for biofuel production through nanocatalytic (Co, Ni) gasification
grid.108266.b0000 0004 1803 0494Collaborative Innovation Center of Biomass Energy, Henan Agricultural University, Zhengzhou, 450002 China
grid.440552.20000 0000 9296 8318Department of Agronomy, PMAS-Arid Agriculture University Rawalpindi, Rawalpindi, 46300 Pakistan
Abstract
Background
While keeping in view various aspects of energy demand, quest for the renewable energy sources is utmost. Biomass has shown great potential as green energy source with supply of approximately 14% of world total energy demand, and great source of carbon capture. It is abundant in various forms including agricultural, forestry residues, and unwanted plants (weeds). The rapid growth of weeds not only affects the yield of the crop, but also has strong consequences on the environment. These weeds can grow with minimum nutrient input requirements, have strong ability to grow at various soil and climate environments with high value of cellulose, thus can be valuable source of energy production.
Results
Parthenium hysterophorus L. and Cannabis sativa L. have been employed for the production of biofuels (biogas, biodiesel and biochar) through nano-catalytic gasification by employing Co and Ni as nanocatalysts. Nanocatalysts were synthesized through well-established sol–gel method. SEM study confirms the spherical morphology of the nanocatalysts with size distribution of 20–50 nm. XRD measurements reveal that fabricated nanocatalysts have pure standard crystal structure without impurity. During gasification of Cannabis sativa L., we have extracted the 53.33% of oil, 34.66% of biochar and 12% gas whereas in the case of Parthenium hysterophorus L. 44% oil, 38.36% biochar and 17.66% of gas was measured. Electrical conductivity in biochar of Cannabis sativa L. and Parthenium hysterophorus L. was observed 0.4 dSm−1 and 0.39 dSm−1, respectively.
Conclusion
Present study presents the conversion of unwanted plants Parthenium hysterophorus L. and Cannabis sativa L. weeds to biofuels. Nanocatalysts help to enhance the conversion of biomass to biofuel due to large surface reactivity. Our findings suggest potential utilization of unwanted plants for biofuel production, which can help to share the burden of energy demand. Biochar produced during gasification can replace chemical fertilizers for soil remediation and to enhance the crop productivity.
Background
Economies around the world are facing serious threats because of high energy demands for sustainable economic growth and development. While keeping many challenges in view such as limited resources, high prices of conventional fuels, and environmental pollution, research and development in the renewable energy sources is utmost solution [1, 2]. Biomass has shown great potential as green energy source with supply of approximately 14% of world total energy demand, and great source of carbon capture [3]. It is abundant in various forms including agricultural, forestry residues, and unwanted plants (weeds). Feedstocks for second-generation biofuels are already being promoted and include such plant species which can grow fast with minimum nutrient input requirements, have strong ability to grow at various soil and climate environments with high value of cellulose. Most of the work is carried out by adopting biological methods to produce biofuel from various species including Salix spp. [4, 5], Eucalyptus spp. [6], Prosopis spp. [7], Parthenium hysterophorus L. [8], Cannabis sativa L. [9], Panicum virgatum L. [10, 11] and Arundo donax L. [12].
The pyrolysis, liquefaction, combustion and gasification are the fundamental thermochemical conversion routes of biomass to biofuel which end up with bioethanol, biodiesel, bio-oil, bio-syngas and biohydrogen. Catalytic gasification has shown great advancement in production of clean energy by converting biomass at low gasification temperatures with high efficiency. The employed catalysts not only help to reduce the reaction time but also help to lower the conversion temperature of biomass to gas of high calorific value [13, 14].
Nanocatalysts have shown great potential to overcome limitations barrier faced by conventional catalysts due to entirely different properties as compared to bulk materials with high surface reactivity. Various nanomaterials have been employed as catalysts including metallic nanoparticles, nanotubes, and nanorods in numerous applications for the production of bioethanol and biodiesel [15, 16]. Catalysts play crucial role in production of biodiesel where transesterification of fats, vegetable oils, and grease (FOG) is carried out through the addition of methanol (or other alcohols). In the standard procedure, the production of biodiesel from biomass is carried out through two steps. During the first step, the biomass is gasified at elevated temperature with resultant byproduct of bio-oil, syngas and biochar which can be good alternative to chemical fertilizers. In the second step, bio-oil is further passed through transesterification to get biodiesel [17]. Biodiesel derived from biomass has been promoted under the aspect of being a ‘‘premium’’ diesel fuel with, for example, a very high cetane number [18].
Addition of catalyst enhances the reaction rate of transesterification process and aids in producing high yields of biodiesel [19]. In relation to substrate phase, they are categorized into homogenous and heterogeneous catalysts [20]. Heterogeneous catalysts have several advantages including ease of recycling by filtration which reduces the operational cost by reusability. Various metallic oxides have been examined for the transesterification process of oils and have emerged as potential heterogeneous catalysts; these include alkali earth metal oxides, transition metal oxides, mixed metal oxides, and supported metal oxides [21]. Veljkovic et al. [22] studied the kinetic of calcined CaO at 500 °C for the transesterification process of biodiesel production from sunflower oil. The reaction was performed using 6:1 mol ratio of methanol to oil, 2 h reaction time, 1 wt% catalyst and 60 °C to achieve 98% of FAME yield. Zhao et al. [23] carried out transesterification of canola oil and methanol using a batch reactor at optimum conditions of 65 °C, with methanol to oil molar ratio of 9:1 and 600 rpm stirring speed. The biodiesel yield over nano-CaO was nearly 81%. Taufiq-Yap et al. [24] showed that by employing metal oxides for catalyzing the transesterification reaction of non-edible Jatropha curcas oil to produce biodiesel can be possible route to achieve good results. The catalyst with optimum reaction conditions; 25:1 M ratio of methanol to oil, 3 h, 120 °C, and catalyst loading of 3 wt % for various Ca/Mg atomic ratios show FAME with 70–90% yield range. Safdar Ali et al. [25] showed the production of biogas, biodiesel and biochar from Carthamus oxyacantha, Asphodelus tenuifolius and Chenopodium album through nano-catalytic gasification by employing Ni and Co nanocatalysts, where biodiesel contained 65.47% esters contents. It has been observed that addition of metallic catalysts such as nickel (Ni) and cobalt (Co) significantly enhances the yields of biogas and methane during anaerobic digestion of animal dung [20, 25].
In the present study, we have shown the potential of non-edible resources such as weeds for the production of biofuel (bio-oil and biodiesel) through nanocatalytic gasification process by employing Co and Ni as nanocatalysts. Synthesized nanocatalysts have spherical morphology with standard crystalline structure with size distribution in the range of 20–50 nm. The chemical composition of the extracted biofuel was confirmed through Fourier transform infrared (FTIR) spectroscopy, and gas chromatography/mass spectroscopy (GC–MS) analysis. The conductivity of the byproduct (biochar) highlights the fact that obtained biochar can be used for soil remediation and an alternative to harmful chemical fertilizers which is based on organic components.
Results and discussion
Structural analysis of synthesized Co and Ni nanocatalysts
Surface morphology and crystal structure of the prepared nanocatalysts are shown in Fig. 1. It is clear that Co and Ni nanocatalysts have spherical morphology (Fig. 1a, b) with size distribution of 20-50 nm. The XRD results are consistent with already published work (Mahmood et al. [26] which confirms the correct crystalline phase of the Co and Ni nanocatalysts. The XRD peaks in cobalt corresponds to the indices (220), (311), (400), (422), (511) and (440) of pure phase centered cube with 2θ angles of 31.8°, 36.9°, 45.5°, 59.4° and 65.3°, respectively [27] (Fig. 1c). Figure 1d illustrates the X-ray diffracted peaks from Ni nanocatalysts which corresponds to indices (100) (111), (200) and (220) with 2θ at 29.4, 37.3, 43.4 and 62.9°, respectively [28, 29].The mean crystal sizes of the particles were calculated through Scherrer formula by calculating full width at half maximum (FWHM) of the major diffracted peaks. The estimated average crystallite size of nanocatalysts were found to be 47.92 nm and 28.85 nm Co and Ni nanocatalysts, respectively.
FTIR analysis of Cannabis sativa L. biodiesel and bio-oil
Figure 2a shows the FTIR spectrum of biodiesel from Cannabis sativa L. with 9 major observed peaks. The FTIR spectrum indicated that first percentage absorbance peak in biodiesel was at 3339 cm−1 while the other was at 696 cm−1 whereas in bio-oil the first absorbance peak was observed at 3398 cm−1 and last peak was indicated at 612 cm−1. The observed bands between 3000 and 3700 cm−1 and 2700–3000 cm−1 show O–H and C–H bonds, respectively [30]. The observed peaks around 3398 cm−1, and two around 2883 cm−1 and 2826 cm−1 were observed in CBO while in CBD 3339 cm−1 which express the O–H stretching bonds in phenolic and alcoholic compounds. Observed bands around 2944 cm−1 and 2833 cm−1 highlight the symmetric and asymmetric stretching vibrational bands of C–H alkanes groups, respectively. In general, the broad spectrum band around 3700–3000 cm−1 express the OH or NH stretching vibrational band in materials with cellulose or proteins, whereas weak bands around 2924 and 2850 cm−1 represent CH2 asymmetric and symmetric stretching band, respectively [31]. It is noticed that pronounced absorption bands around 1710 cm−1, and 1712 cm in CBO and CBD are assigned to C=O stretch bond and suggest the presence of fatty acids in samples. The observed band around 1750–1700 cm−1 shows the presence of ester carbonyl group in stretching mode [32]. In CBD, the observed peaks at 1409 cm−1 1515 cm−1 and 1390 cm−1 can be assigned to aromatic compounds from N–H bending mode and methyl (CH3) bonds. Furthermore, the intensity of 1515 cm−1 in CBD is substantially reduced which suggest the removal of lignin and hemicelluloses after transesterification of bio-oil. The observed bands around 1280 and 1000 cm−1 suggest the possible existence of acids, phenols or alcohols in the samples due to C–O vibrations [33].
FTIR analysis of Parthenium hysterophorus L. biodiesel and bio-oil
Figure 3a shows the FTIR spectrum of biodiesel from Parthenium hysterophorus L. with 8 major bands. The observed peak around 3343 cm−1 in both PBD and PBO suggests the O–H stretching bond which can be due to the rapturing of hydrogen bonds in cellulose indicating alcohols, phenols remain unchanged in each of the blend sample which confirms the presence of above functional group in both PBD and PBO. Two peaks around 2945 cm−1 and 2833 cm−1 in PBD were detected while this band was absent in PBO. The observed peaks around 2924 cm−1 and 2853 cm−1 suggest the presence of CH2 and CH3 groups and related to symmetric and antisymmetric stretching vibrations of C–H, respectively [34]. The observed band in PBD and PBO at wave number around 1712 cm−1 confirms the existence of esters group with C=O stretching bond. Methyl esters also show their standard carbonyl absorptions characteristics around absorption band of 1820–1680 cm−1 which is absent in conventional diesel fuel [35]. Two peaks around 1643 cm−1 and 1515 cm−1 were observed in bio-oil, but were not detected in biodiesel. Our results of PBO are in good agreement with the results from Kowthaman and Varadappan [35], which confirms that slight bend in the peak around 1647 cm−1 ensures the absorption band of olefins. The absorbance peaks at 1389 cm−1 and 1275 cm−1 in PBD and 1409 cm−1 in PBO indicated alkene C–H rock, C–O stretching and alcohol O–H bending, respectively. The observed peak in PBD and PBO within the frequency band of 1120–1090 cm−1 confirms the presence of ester due to the stretching vibration of C–O [36]. Similar results were found during the conversion of Jatropha to biodiesel where bands around 1443, 1096 and 965 cm−1 disappeared and new bands were formed around 1430 cm−1 and 1194 cm−1 [36].
GC–MS analysis of biodiesel and bio-oil from Cannabis sativa L.
Tables 1 and 2 summarize the results observed from GC–MS analysis of CBD and CBO showing several different chemical compounds according to their molecular weight, respectively. The color of biodiesel was yellowish and less gas was produced during gasification process. It has been noted that there are 10 and 15 major peaks in CBD and CBO, respectively. We can infer from the reported literature that main components identified in biodiesel are methyl alcohol, ethanol, trichloromethane, 2-propanone,1-hydroxy, cis-13-eicosenoic acid and methyl ester (Table 1). On the other hand, major compounds detected in the bio-oil are summarized in Table 2, which include methyl alcohol, ethanol, ethyl format, tri chloromethane, 2-propanone,1-hydroxy, 1-hydroxy-2-butanone, furfural, butyrolactone, butanoic acid, anhydride, butyric acid, p-methoxyphenyl ester, phenol, 2,6-dimethoxy, 9-Octadecenoic acid 12-hydroxy, methyl ester [z], etc. [37].Compound name Peak position Molecular weight Chemical formula Methyl alcohol 1 32 CH4O Ethanol 2 46 C2H6O Trichloromethane 3 118 CHCL3 Trichloromethane 4 118 CHCL3 2-Propanone,1-hydroxy 5 74 C3H6O2 Cis-13-Eicosenoic acid, methyl ester 6 324 C21H40O2 Cis-13-Eicosenoic acid, methyl ester 7 324 C21H40O2 Cis-13-Eicosenoic acid, methyl ester 8 324 C21H40O2 Cis-13-Eicosenoic acid, methyl ester 9 324 C21H40O2 Eicosenoic acid, methyl ester 10 324 C21H40O2 Compound name Peak position Molecular weight Chemical formula Methyl alcohol 1 32 CH4O Ethanol 2 46 C2H6O Ethyl format 3 74 C3H6O2 Trichloromethane 4 118 CHCl3 Trichloromethane 5 118 CHCl3 2-Propanone,1-hydroxy 6 74 C3H6O2 1-Hydroxy-2-butanone 7 88 C4H8O2 Furfural 8 96 C5H4O2 Butyrolactone 9 86 C4H6O2 Butanoic acid, anhydride 10 158 C8H14O3 Butyric acid, p-methoxyphenyl ester 11 194 C11H14O3 Phenol, 2,6-dimethoxy 12 154 C8H10O3 1,2,3-Trimethoxybenzene 13 168 C9H12O3 Benzene, 1,2,3-trimethoxy-5-methyl- 14 182 C10H14O3 9-Octadecenoic acid 12-hydroxy, methyl ester [z] 15 312 C19H36O3
GC–MS analysis of biodiesel and bio-oil from Parthenium hysterophorus L.
Same procedure was adopted for Parthenium hysterophorus L., and results of GC–MS from biodiesel (PBD) and bio-oil (PBO) are summarized in Tables 3 and 4, respectively. The color of the biodiesel was brown yellow liquid with less gas production during gasification process. The extracted compounds by GC–MS are summarized in Tables 3 and 4. The differences in the extracted compounds from biodiesel and bio-oil were due to the difference chemical structure of the biodiesel and bio-oil. The main extracted compounds are identified as methyl alcohol, ethanol, acetic acid, methyl ester, tri chloromethane, 2-propanone,1-hydroxy, cis-13-eicosenoic acid, methyl ester [38, 39].Compound name Peak position Molecular weight Chemical formula Methyl alcohol 1 32 CH4O Ethanol 2 46 C2H6O Acetic acid, methyl ester 3 74 C3H6O2 Trichloromethane 4 118 CHCl3 2-Propanone,1-hydroxy 5 74 C3H6O2 Cis-13-Eicosenoic acid, methyl ester 6 324 C21H40O2 Cis-13-Eicosenoic acid, methyl ester 7 324 C21H40O2 Cis-13-Eicosenoic acid, methyl ester 8 324 C21H40O2 Cis-13-Eicosenoic acid, methyl ester 9 324 C21H40O2 Cis-13-Eicosenoic acid, methyl ester 10 324 C21H40O2 Compound name Peak position Molecular weight Chemical formula Trichloromethane 1 118 CHCl3 Trichloromethane 2 118 CHCl3 Acetic acid 3 60 C2H4O2 2-Propanone,1-hydroxy 4 74 C3H6O2 2-Cyclopenten-1-one, 2-hydroxy-3-methyl 5 112 C6H8O2 6-Octadecenoic acid, methyl ester, [z] 6 296 C19H36O2 8-Octadecenoic acid, methyl ester 7 296 C19H36O2 9-Octadecenoic acid, methyl ester, [e] 8 296 C19H36O2 Methyl stearate 9 298 C19H38O2 Methyl stearate 10 298 C19H38O2 Octadec-9-enoic acid 12 282 C18H34O2 Phenol, 2,6-dimethoxy 12 154 C8H10O3 n-Propyl 9,12-ocatdecadienoate 13 322 C21H38O2 Ethyl oleate 14 310 C20H38O2 Ethyl oleate 15 310 C20H38O2
Analysis of biochar
The biochar yield produced from Cannabis and Parthenium after catalytic gasification is 34.66% and 38.36%, respectively, which shows that biochar yield from Parthenium hysterophorus L. is higher as compare to Cannabis sativa L. The detailed analysis of the derived biochar is summarized in Table 5.Biochar Yield% Organic matter% Total organic carbon% pH EC (dS m−1) Cannabis sativa L. biochar 34.66 61.75 35.82 5.3 0.4 Parthenium hysterophorus L. biochar 38.36 56.03 32.5 5.5 0.39
Total organic carbon and organic matter content
The organic matter and total organic carbon compositions of biochars were determined. The total organic carbon content in Cannabis sativa L. was found to be 35.82%, which was higher as compare to Parthenium hysterophorus L. (32.5%). It is a well-known fact that high contents of carbon in biochar can lead to enhancing plant regeneration, crop production and soil health [40, 41]. In the present study, the obtained biochar from Cannabis sativa L. showed higher organic contents which is 61.75% in comparison to 56.03% from Parthenium hysterophorus L.
pH
The pH values of the biochar indicated the least difference and showed acidic nature. It is reported that increase in temperature can increase the pH of biochars which could be due to presence of non-gasified inorganic elements in the original feedstocks [42]. In the present study, pH of 5.3 and 5.5 were recorded in the biochar of Cannabis sativa L. and in Parthenium hysterophorus L., respectively.
Kumar et al. [43] stated that the electrical conductivity (EC) and soil pH increased significantly with Parthenium hysterophorus L. biochar addition, but in our study, the Parthenium hysterophorus L. showed low pH.
Electrical conductivity (EC)
Electrical conductivity of the soil is an important factor which highlights the presence of nutrients in the soil. Higher value of electrical conductivity leads to increase in negative charges sites, which could eventually effect the plant growth. In standard method of measurement, soil salinity indicates the ability of aqueous solution to pass current. It is very important to study the value of EC of derived biochars before the implementation to limit the deposition of salt. In our study, the electrical conductivity of 0.4 dSm−1 and 0.39 dSm−1 from biochar of Cannabis sativa L. and Parthenium hysterophorus L. has been observed, respectively, which is much lower than the saline threshold of 4 dSm−1 [44, 45]. Our findings suggests that derived biochar from Cannabis sativa L can be potential candidate which can encourage farmers to employ biochar instead chemical fertilizers which have serious concerns to environment.
Reusability of catalyst
The main advantage of heterogenous catalyst is its reusability as it can be easily separated from the reaction mixture. Reusability of catalysts after transesterification reaction of CBO and PBO into biodiesel was tested up to 6 cycles. At the end of each experiment, the catalysts were filtered and stirred in ethanol for 30 min to remove possible traces of polar and non-polar components present on the surface of the catalysts. The catalysts were dried at 60 °C in an oven under Ar gas flow for 12 h. It can be seen from Fig. 4 that these catalysts have good reusability up to 4 cycle, whereas efficiency dropped sharply to 65% and 40% in the 5th and 6th cycle, respectively. The decrease in catalytic activity with each cycle could due to the blockage of catalyst active sites because of the deposition of glycerol, free fatty acids and leaching of –SO3H from biochar [46–48].
Conclusion
We have shown the potential of biofuel production from Cannabis sativa L. and Parthenium hysterophorus L weeds through nanocatalytic gasification which grows vastly in monsoon season. Due to high surface-to-volume ratio of nanocatalysts, the conversion of biomass to biofuel was achieved at low temperature. The results showed that efficiency of biodiesel production from Cannabis sativa L. is 53% which is higher as compare to available literature. The total organic carbon contents in biochar from Cannabis sativa L. and Parthenium hysterophorus L were found to be 35.82% and 32.5%, respectively. Low value of electrical conductivity of the biochar suggest that it can be implemented to reduce farmer dependence of chemical fertilizers which have serious threats to our environment.
Materials and methods
The biomass samples of weeds namely industrial hemp (Cannabis sativa L.) and carrot grass (Parthenium hysterophorus L.) were collected from the research field area of PMAS-Arid Agriculture University Rawalpindi, Pakistan. All the samples were naturally dried and later crushed by mechanical grinder (MF 10 IKA, Werke, Germany) in submicron particle size by passing through sieve of 500μm. All the chemicals of analytical reagent grade were purchased from Sigma Aldrich. To synthesize nanocatalysts of Co and Ni, we slightly modified the procedure described in Mahmood et al. [26]. In a particular experiment, 0.5 M solution of 1, 10 phenanthroline and 0.5 M solution of cobalt chloride (CoCl2.6H2O) were individually prepared in 1-propanol. In the following step, 1,10 phenanthroline solution was added slowly into the solution of cobalt chloride with continuous stirring at 45 °C. The resultant pink precipitates were filtered and washed several times with 1-propanol to minimize the un-reacted salts. Prior to anneal samples were dried in the oven at 60 °C for 12 h to remove the moisture contents. Synthesized samples were annealed in tube furnace at temperature of 500 °C for 8 h under the flow of Ar to get the desire crystalline phase. Similar procedure was adopted to synthesize Ni nanocatalysts.
Microstructures of the synthesized Co and Ni nanocatalysts were studied by JSM-7500 scanning electron microscope (SEM) whereas crystalline structure was studied by X-ray diffractometer from PANalytical, Netherlands, (Model 3040/60 X-pert PRO).
FTIR analysis is non-destructive and the most widely employed experimental tool to analyze the chemical structure of the resulted product by studying functional groups and the bands. FTIR analysis of the transesterified biodiesel and the bio-oil obtained from studied samples was carried out by Thermo-Nicolet Nexus 670 Spectrophotometer. 1 mg of investigated sample was mixed with 100 mg of KBr to scan in the range 550 to 4000 cm−1 with resolution of 1 cm−1 [49]. All the collected gaseous samples were characterized by GC–MS Hewlett-Packard [Palo Alto, A] 5890 series II gas chromatograph with Hewlett-Packard 5972 mass selective detector by following the procedure described previously [50]. Transesterification was performed according to the methodologies adopted by Mahmood et al. [51]. The biochar was analyzed for organic matter content, total organic carbon content, pH and electrical conductivity (EC) by employing Multimeter (CRISON MM 40þ) by dissolving 1 g of biochar into 5 ml distilled water while shaking at 150 rpm for 30 min.
Nano-catalytic gasification
In particular, experiment 100 g of respective dried biomass (cannabis sativa L. and Parthenium hysterophorus L.) was separately mixed with 1 g of nanocatalysts (Co (0.5 g) and Ni (0.5 g)) with ratio of 50/50 and gasified in a round bottom flask at 300 °C. The biochar was settled down at the of bottom flask whereas the gas was collected in gas collecting bag outside the gasifier. Furthermore, bio-oil was condensed to collect in a measuring cylinder whereas moisture contents were removed by dehydrating around 90 °C. Samples of produced gas were examined through gas chromatography–mass spectrometry. The quantity of hydrocarbon and syngas was measured. During gasification of Cannabis sativa L., we have extracted the 53.33% of oil, 34.66% of biochar and 12% gas, whereas in the case of Parthenium hysterophorus L. 44% oil, 38.36% biochar and 17.66% of gas was measured.
Nano-catalytic transesterification
Methanol of 300 ml was mixed with 0.2 g from Ni and Co nanocatalysts with ratio of 50/50 (0.1 g Ni, and 0.1 g Co). The nanocatalyst enhanced the esterification of methanol. The solution was continuously stirred and refluxed at 80 °C for 1 h. In the next step, bio-oil samples were mixed and refluxed for 2 h at 80 °C with catalytic alcoholic mixture. The resulting mixture was allowed to settle down. Two layers with upper transparent layer of biodiesel and lower layer of used catalysts and glycerin were established. The quantity of each product was measured. The catalysts recovered by filtration were washed with ethanol to remove organic components for better performance and dried in oven at 60 °C for 12 h under Ar gas flow.
Abbreviations
- AAEMs
- Alkali and alkaline earth metals
- FTIR
- Fourier transform infrared spectroscopy
- SEM
- Scanning electron microscope
- XRD
- X-ray diffraction
- GC–MS
- Gas chromatography/mass spectroscopy
- CBD
- Cannabis biodiesel
- PBD
- Parthenium biodiesel
- CBO
- Cannabis bio-oil
- PBO
- Parthenium bio-oil
- Ni
- Nickel
- Co
- Cobalt
- EC
- Electrical conductivity
- NOx
- Nitrous oxide
- SOx
- Sulphur oxide
- NC
- Nano-catalyst
Acknowledgements
The authors gratefully acknowledged the financial support from Top Notch Talent program, Henan Agricultural University (30500598), State-Sponsored Scholarship Program (NO. 201908410130), and National Natural Science Foundation of China (NO. 51376056, 51576060).
Funding
Top Notch Talent program, Henan Agricultural University (30500598), State-Sponsored Scholarship Program (NO. 201908410130) and National Key Research and Development Program of China (NO. 2018YFE0206600), National Natural Science Foundation of China (NO. 51676065).
Availability of data and materials
Not applicable.
Ethics approval and consent to participate
The studied weeds were locally collected from the research farm of research field area of PMAS-Arid Agriculture University Rawalpindi, Pakistan.
Consent for publication
Not applicable.
Competing interests
We verify that there are no conflicts of interest to present work. We declare that we do not have any commercial or associative interest that may cause conflict of interest in connection with the submitted work.