Images of GFP-labeled mossy fiber axons in the CA3 region were acquired at 0.75-μm intervals with the Bio-Rad R2100 confocal system with a plane apochromatic 40× oil lens (numerical aperture, 1.3; Nikon) and a digital zoom of 6. The Bio-Rad image files were subjected to five iterations of deconvolution with the AutoDeblur program (AutoQuant). Maximum projections of z series were created with the Confocal Assistance Program in BMP format and the files were then imported into IGL Trace (http://synapse-web.org/tools/index.stm ). Mossy fiber boutons that fit the following criteria were selected for quantification: (i) the diameter of the bouton was more than threefold greater than the diameter of the mossy fiber, (ii) the bouton was connected to the mossy fiber on at least one end and (iii) the bouton was relatively isolated from other boutons for accuracy of tracing. These criteria were arbitrary but nevertheless established an unbiased sampling. The contour of the boutons was traced manually and the enclosed area was calculated by the IGL Trace program. A total of 20–21 boutons were analyzed for each time point in CA3 and a total of 20–66 boutons were analyzed for each time point in the hilus.
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Bio-Oil
Bio-Oil
Bio-oil is a complex mixture of oxygenated organic compounds derived from the fast pyrolysis of biomass.
It is a potential renewable fuel and chemical feedstock, with applications in energy production, transportation, and the production of value-added chemicals.
PubCompare.ai, an AI-driven platform, can help researchers optimize their bio-oil research protocols by easily locating the best protocols from literature, pre-prints, and patents using advanced AI comparisons.
This takes the guesswork out of bio-oil research and helps find the most effective protocols for your work.
With PubCompare.ai, you can discover the power of this AI-driven platform and take your bio-oil research to the next level.
It is a potential renewable fuel and chemical feedstock, with applications in energy production, transportation, and the production of value-added chemicals.
PubCompare.ai, an AI-driven platform, can help researchers optimize their bio-oil research protocols by easily locating the best protocols from literature, pre-prints, and patents using advanced AI comparisons.
This takes the guesswork out of bio-oil research and helps find the most effective protocols for your work.
With PubCompare.ai, you can discover the power of this AI-driven platform and take your bio-oil research to the next level.
Most cited protocols related to «Bio-Oil»
Axon
Bio-Oil
Fibrosis
Fingers
Lens, Crystalline
Mosses
Presynaptic Terminals
Synapses
To study
the different types of biochars obtained, and based on previous experience,8 (link),9 (link),17 (link),39 (link) rice husk was used because of its physicochemical properties. The
moisture contents of the four biochars were measured (according to
the ISO 589 standard and by means of a halogen moisture analyzer HR83,
Mettler Toledo), and the following analyses were done: proximate analysis
(in a TA Instruments Discovery 5500 TGA according to the ASTM D5142
standard), ultimate analysis (Vario–Macro of Elementar, according
to the ASTM D5373 and ISO 19579 standards), and HHV (Parr 6200 isoperibolic
bomb calorimeter following the ASTM D5865 standard). The contents
of the three natural polymers that make up the biomass were determined
according to the methodology proposed by different authors,6 (link),7 (link),39 (link) by means of a deconvolution of
the DTG curves obtained in the same equipment used for proximate analysis
(TGA Discovery 5500 TA Instruments). For the determination of the
three components, an algorithm was developed in Scilab 6.0.1 that
solves the ordinary differential equations of a kinetic model that
considers the three independent parallel reactions corresponding to
the degradation of each component.6 (link),7 (link),11 (link),39 (link) Similarly, the algorithm
uses a direct search optimization established by Nelder–Mead
to find the values of the best fit for the kinetic model (frequency
factors and activation energies) and for the contents of two of the
three polymers. The objective function to be minimized is the sum
of the squared differences between the experimental TGA values and
those calculated by the model. All of the physicochemical characteristics
of the biochar used in this study are shown inTable 4 , where wt % d.b. represents the weight percent on a dry basis
and wt % w.b. represents the weight percent on a wet basis.
It is observed that the moisture content of the four
biochars is
quite low. The fixed carbon in all biochars ranged between 48.65%
and 54.59%. High volatile matter content and low ash content indicate
significant conversion to pyrogenic vapor during heat treatment and
low biochar yield.63 (link),64 (link) Higher volatile biomass is undesirable
for bio-oil production together with biochar.63 (link)Table 1 shows the
carbon, hydrogen, sulfur, hydrogen and nitrogen composition of both
the raw material and all the biochars obtained, noting that the carbon
content increases considerably with respect to the raw material. The
contents of C, H, N, S, and O of the biochar were studied, and it
was possible to observe that the C content was high and the contents
of N and S were quite low. Similarly, it can be seen that at a temperature
of 450 °C there is a small amount of cellulose on the polymer
content and a large amount of lignin, but all of the hemicellulose
had already been consumed. For temperatures of 500, 550, and 600 °C,
only lignin was observed in its content, and this is in accordance
with research in which it is argued that after 500 °C hemicellulose
and cellulose completely degraded.6 (link),7 (link),11 (link),39 (link)Likewise, the
surface area of each of the biochars obtained was
evaluated with methylene blue dye, which is widely used for mineral
clay. In recent years, it has been used for biochar because its amorphous
and asymmetric compositions do not show good results, as seen from
BET isotherms.65 (link) Therefore, methylene blue
adsorption measurements are used for a more accurate determination
of the surface area for liquid adsorption applications.38 (link),65 (link) In the same way, and to evaluate the pore size, a BET area analysis
was carried out on an AutoChem II 2920 equipment (Micromeritics).
To determine functional groups, FTIR analysis was performed using
an infrared spectrometer (PerkinElmer, model spectrum Two V10.4.2)
equipped with an attenuated total reflection (ATR) accessory (PerkinElmer),
operating in the spectral range of 4000–400 cm–1 with a resolution of 4 cm–1.
the different types of biochars obtained, and based on previous experience,8 (link),9 (link),17 (link),39 (link) rice husk was used because of its physicochemical properties. The
moisture contents of the four biochars were measured (according to
the ISO 589 standard and by means of a halogen moisture analyzer HR83,
Mettler Toledo), and the following analyses were done: proximate analysis
(in a TA Instruments Discovery 5500 TGA according to the ASTM D5142
standard), ultimate analysis (Vario–Macro of Elementar, according
to the ASTM D5373 and ISO 19579 standards), and HHV (Parr 6200 isoperibolic
bomb calorimeter following the ASTM D5865 standard). The contents
of the three natural polymers that make up the biomass were determined
according to the methodology proposed by different authors,6 (link),7 (link),39 (link) by means of a deconvolution of
the DTG curves obtained in the same equipment used for proximate analysis
(TGA Discovery 5500 TA Instruments). For the determination of the
three components, an algorithm was developed in Scilab 6.0.1 that
solves the ordinary differential equations of a kinetic model that
considers the three independent parallel reactions corresponding to
the degradation of each component.6 (link),7 (link),11 (link),39 (link) Similarly, the algorithm
uses a direct search optimization established by Nelder–Mead
to find the values of the best fit for the kinetic model (frequency
factors and activation energies) and for the contents of two of the
three polymers. The objective function to be minimized is the sum
of the squared differences between the experimental TGA values and
those calculated by the model. All of the physicochemical characteristics
of the biochar used in this study are shown in
and wt % w.b. represents the weight percent on a wet basis.
It is observed that the moisture content of the four
biochars is
quite low. The fixed carbon in all biochars ranged between 48.65%
and 54.59%. High volatile matter content and low ash content indicate
significant conversion to pyrogenic vapor during heat treatment and
low biochar yield.63 (link),64 (link) Higher volatile biomass is undesirable
for bio-oil production together with biochar.63 (link)
carbon, hydrogen, sulfur, hydrogen and nitrogen composition of both
the raw material and all the biochars obtained, noting that the carbon
content increases considerably with respect to the raw material. The
contents of C, H, N, S, and O of the biochar were studied, and it
was possible to observe that the C content was high and the contents
of N and S were quite low. Similarly, it can be seen that at a temperature
of 450 °C there is a small amount of cellulose on the polymer
content and a large amount of lignin, but all of the hemicellulose
had already been consumed. For temperatures of 500, 550, and 600 °C,
only lignin was observed in its content, and this is in accordance
with research in which it is argued that after 500 °C hemicellulose
and cellulose completely degraded.6 (link),7 (link),11 (link),39 (link)Likewise, the
surface area of each of the biochars obtained was
evaluated with methylene blue dye, which is widely used for mineral
clay. In recent years, it has been used for biochar because its amorphous
and asymmetric compositions do not show good results, as seen from
BET isotherms.65 (link) Therefore, methylene blue
adsorption measurements are used for a more accurate determination
of the surface area for liquid adsorption applications.38 (link),65 (link) In the same way, and to evaluate the pore size, a BET area analysis
was carried out on an AutoChem II 2920 equipment (Micromeritics).
To determine functional groups, FTIR analysis was performed using
an infrared spectrometer (PerkinElmer, model spectrum Two V10.4.2)
equipped with an attenuated total reflection (ATR) accessory (PerkinElmer),
operating in the spectral range of 4000–400 cm–1 with a resolution of 4 cm–1.
Adsorption
Bio-Oil
biochar
carbene
Cellulose
Halogens
Hydrogen
Kinetics
Lignin
Methylene Blue
Nitrogen
Oryza sativa
Polymers
Reflex
Spectroscopy, Fourier Transform Infrared
Sulfur
Vision
Material | Company | Catalog Number |
---|---|---|
McIlwain Tissue Chopper | The Mickle Laboratory Engineering Co. LTD. | Model MTC/2 |
Teflon insert | The Mickle Laboratory Engineering Co. LTD. | |
Grade 50 hardened filter paper | Whatman | 1450-055 |
35 × 15 mm tissue culture treated dishes | Santa Cruz | Sc-200284 |
100 × 20 mm cell culture dishes | Greiner Bio-One | 664-160 |
Size 2 oil paint brushes | Silver Fox | |
Long-nosed forceps | ||
Premium Sterile Stainless Steel Scalpel Blades – #22 | Havel’s | FHS22 |
0.4 μm, 30 mm cell culture inserts | Millipore | PICMORG50 |
Hibernate A | Brain Bits | Hibernate A |
Gibco | 25030-081 | |
Horse Serum | Gibco | 16050-122 |
Antibiotic/Antimycotic (100×) | Gibco | 15240-062 |
Neurobasal-A Medium | Gibco | 10888-022 |
2% B27 Supplement (50×) | Gibco | 17504-044 |
Bio-Oil
Cell Culture Techniques
Dietary Supplements
Glutamine
Lamina 4
Stainless Steel
Steel
Sterility, Reproductive
Tissues
In a Pyrex glass beaker, 5 g of microcrystalline or amorphous cellulose and 5 g of citric acid (monohydrate or anhydrous can be used) are placed and mixed together. The mixture is heated at 152–155 °C, using an oil bath, for the chosen reaction times (30 min, 1 hour, 2 hours, 3 hours, 5 hours, overnight time) and sometimes mixed mechanically. At the end of reaction, after cooling the reaction mixture, 20 ml of acetone are added and the suspension is filtered using a 50 ml sintered glass filter connected to an Erlenmeyer flask. The filtered solid is washed with other 20 ml of acetone. The liquid phase is reduced under vacuum to remove any trace of solvent to give bio-oil in the form of a brown highly viscous oil. The solid phase is collected, washed with distilled water, dried in an oven at 70 °C for one day and consists of cellulose citrate as a pale-yellow solid.
Acetone
Bath
Bio-Oil
Cellulose
Citrates
Citric Acid
Solvents
Strains
Vacuum
Viscosity
Approximately 7.5 g of feedstock was used for each experiment and took 1.5 to 2.5 minutes to feed into the reactor. Bio-oil was recovered from the traps by washing with a mixture of 80 vol. % acetone and 20 vol. % methanol (HPLC grade, Fisher Chemicals). Samples of the bio-oil solutions (trap-1 and trap-2) were analyzed separately by GCMS. The two bio-oil solutions were stored overnight at -20°C. A rotary evaporator operating at 55°C with a nitrogen purge and a maximum vacuum of ~25" Hg was used to remove the solvent. Three sub-samples from each bio-oil solution were dried and the mean of these determinations is defined here as the 'dry' bio-oil yield. Repeatability of the dry bio-oil yield was assessed by repeating the experiment three times, producing bio-oil solutions from the two oil traps from each experiment, and then sub-sampling and analyzing each oil trap solution three times. In total, three experiments produced a total of eighteen dry bio-oil samples. From this, a standard deviation of ≤2 wt% (absolute) of the daf feedstock was determined. The bias is discussed in the results section.
A sample of the dry bio-oil was dissolved in fresh solvent and analyzed by GCMS. Comparing this dry bio-oil analysis with the analysis of bio-oil solutions before they were dried provides an estimate of the ‘volatile bio-oil’ fraction removed with the solvent during rotary evaporation. The repeatability and bias of the 'volatile bio-oil' yield is discussed in the GCMS experimental section. Rotary evaporation resulted in water being lost from the bio-oil samples, therefore determination of pyrolysis water was not attempted.
The repeatability of the char yield determinations was ~±1.5 wt% (absolute). The bias in the char yield is estimated to be ≤±2.0 wt% (absolute). Char samples were ashed in a muffle furnace at 600°C, accordingly, char yields were corrected to a dry ash free (daf) basis. Char yields are reported for the organic fraction (CharOrg) excluding ash, i.e. on a daf basis relative to the daf feedstock. Char yields are also reported inclusive of ash (CharOrg+Inorg) on a dry basis relative to the dry feedstock. A more detailed account of the experimental procedure is provided inS2 File .
A sample of the dry bio-oil was dissolved in fresh solvent and analyzed by GCMS. Comparing this dry bio-oil analysis with the analysis of bio-oil solutions before they were dried provides an estimate of the ‘volatile bio-oil’ fraction removed with the solvent during rotary evaporation. The repeatability and bias of the 'volatile bio-oil' yield is discussed in the GCMS experimental section. Rotary evaporation resulted in water being lost from the bio-oil samples, therefore determination of pyrolysis water was not attempted.
The repeatability of the char yield determinations was ~±1.5 wt% (absolute). The bias in the char yield is estimated to be ≤±2.0 wt% (absolute). Char samples were ashed in a muffle furnace at 600°C, accordingly, char yields were corrected to a dry ash free (daf) basis. Char yields are reported for the organic fraction (CharOrg) excluding ash, i.e. on a daf basis relative to the daf feedstock. Char yields are also reported inclusive of ash (CharOrg+Inorg) on a dry basis relative to the dry feedstock. A more detailed account of the experimental procedure is provided in
Acetone
Bio-Oil
Gas Chromatography-Mass Spectrometry
High-Performance Liquid Chromatographies
Inclusion Bodies
Methanol
Nitrogen
Pyrolysis
Salvelinus
Solvents
TRAP1 protein, human
Vacuum
Most recents protocols related to «Bio-Oil»
Bio-oil
is prepared by a HTL method. Heating was performed by an external
electric furnace using a 500 mL batch reactor (GSH-0.5, Weihai Chemical
Machinery Co., Ltd., China). According to the work of Wang et al.,33 (link) the operating conditions and experimental procedures
for HTL were determined. The amounts 10 wt % γ-Al2O3, 10 wt % SAPO-34, 10 wt % Cu–Ce, 10 wt % Ni–Co,
5 wt % Cu–Ce, and 5 wt % Ni–Co were added for experimentation,
separately, 24.00 g of Spirulina, 120 mL of deionized water were also
added, and nitrogen gas was purged for 10 min to remove air in the
reactor with/without catalyst. The rotation speed was maintained at
80 rpm Then the reactor was heated from 20 to 300 °C in 40 min
and kept at 300 °C for 30 min. The residence time did not include
the heating time. After the reaction was completed, the cooling water
was turned on and cooled to room temperature. After the pressure was
released, the reactor was flushed with CH2Cl2 (DCM, 300 mL) and then the liquid and solid product were collected.
After the product was vacuum filtered through a 0.45 μm filter
membrane, the organic phase and the aqueous phase were separated with
a separating funnel. The organic phase was rotary-evaporated under
negative pressure at 40 °C for 1 h to obtain bio-oil. Each experiment
was repeated three times. The gaseous product was collected using
a 0.5 L gas sampling bag and weighed before and after collection to
calculate the gas weight.
Bio-oil yield (YBio-oil, %), gaseous product yield (YGP, %), solid residue yield (YSR, %), water-soluble product yield (YWSP, %), energy recovery rate (ER, %) and carbon recovery rate (CR,
%) were calculated byeqs 1 –6 : where Malgae, Mbio-oil, MGP, MSR, and MWSP are the masses of spirulina raw material, bio-oil, gaseous product,
solid residue, and water-soluble product, respectively; HHV (MJ kg–1) means the higher heating value of bio-oil or spirulina.
is prepared by a HTL method. Heating was performed by an external
electric furnace using a 500 mL batch reactor (GSH-0.5, Weihai Chemical
Machinery Co., Ltd., China). According to the work of Wang et al.,33 (link) the operating conditions and experimental procedures
for HTL were determined. The amounts 10 wt % γ-Al2O3, 10 wt % SAPO-34, 10 wt % Cu–Ce, 10 wt % Ni–Co,
5 wt % Cu–Ce, and 5 wt % Ni–Co were added for experimentation,
separately, 24.00 g of Spirulina, 120 mL of deionized water were also
added, and nitrogen gas was purged for 10 min to remove air in the
reactor with/without catalyst. The rotation speed was maintained at
80 rpm Then the reactor was heated from 20 to 300 °C in 40 min
and kept at 300 °C for 30 min. The residence time did not include
the heating time. After the reaction was completed, the cooling water
was turned on and cooled to room temperature. After the pressure was
released, the reactor was flushed with CH2Cl2 (DCM, 300 mL) and then the liquid and solid product were collected.
After the product was vacuum filtered through a 0.45 μm filter
membrane, the organic phase and the aqueous phase were separated with
a separating funnel. The organic phase was rotary-evaporated under
negative pressure at 40 °C for 1 h to obtain bio-oil. Each experiment
was repeated three times. The gaseous product was collected using
a 0.5 L gas sampling bag and weighed before and after collection to
calculate the gas weight.
Bio-oil yield (YBio-oil, %), gaseous product yield (YGP, %), solid residue yield (YSR, %), water-soluble product yield (YWSP, %), energy recovery rate (ER, %) and carbon recovery rate (CR,
%) were calculated by
solid residue, and water-soluble product, respectively; HHV (MJ kg–1) means the higher heating value of bio-oil or spirulina.
Bio-Oil
Carbon
Gases
Nitrogen
Pressure
SAPO-34
Vacuum
Elemental analysis of the bio-oil was performed with a Vario EL cube
III elemental analyzer (Elementar, Germany). The content of O was
calculated according to the difference method.
GC-MS (5977 A,
Agilent) was used to analyze the composition of biocrude. The instrument
was equipped with an HP-5 ultrainert chromatographic column (30 m
× 250 μm × 0.25 μm). The temperatures of the
ion source and the quadrupole were 230 °C and 150 °C, respectively.
Helium was used as the carrier gas (flow rate = 1 mL min–1). The column temperature initially was set to 60 °C for 1 min,
then increased to 70 °C at a rate of 1 °C min–1, afterward increased to 300 °C at 10 °C min–1, and finally kept at 300 °C for 10 min. It should be noticed
that by comparing with the National Institute of Standards and Technology
(NIST) database, only light molecules with low boiling points can
be measured and only a limited number of compounds could be identified.
The HHV of bio-oil was determined by Sande SDC712 oxygen bomb calorimeter.
The boiling point distribution of the bio-oil was analyzed by a thermogravimetric
instrument (DTG-60, Shimadzu). Approximately 10 mg of sample in an
alumina crucible was heated from 20 to 800 °C at a rate of 10
°C min–1. The nitrogen flow rate was 40 mL
min–1.
III elemental analyzer (Elementar, Germany). The content of O was
calculated according to the difference method.
GC-MS (5977 A,
Agilent) was used to analyze the composition of biocrude. The instrument
was equipped with an HP-5 ultrainert chromatographic column (30 m
× 250 μm × 0.25 μm). The temperatures of the
ion source and the quadrupole were 230 °C and 150 °C, respectively.
Helium was used as the carrier gas (flow rate = 1 mL min–1). The column temperature initially was set to 60 °C for 1 min,
then increased to 70 °C at a rate of 1 °C min–1, afterward increased to 300 °C at 10 °C min–1, and finally kept at 300 °C for 10 min. It should be noticed
that by comparing with the National Institute of Standards and Technology
(NIST) database, only light molecules with low boiling points can
be measured and only a limited number of compounds could be identified.
The HHV of bio-oil was determined by Sande SDC712 oxygen bomb calorimeter.
The boiling point distribution of the bio-oil was analyzed by a thermogravimetric
instrument (DTG-60, Shimadzu). Approximately 10 mg of sample in an
alumina crucible was heated from 20 to 800 °C at a rate of 10
°C min–1. The nitrogen flow rate was 40 mL
min–1.
Bio-Oil
Chromatography
fluoromethyl 2,2-difluoro-1-(trifluoromethyl)vinyl ether
Gas Chromatography-Mass Spectrometry
Helium
Light
Nitrogen
Oxygen
Toluene, cyclopentanone, acetic acid, furfural and guaiacol were mixed with a volume ratio of 1 : 1 : 1 : 1 : 1 to represent simulated bio-oil. All these reagents were analytically pure. The catalytic tests were conducted on a fixed bed reactor, as shown in Fig. S1.† For each run, 5 g of catalyst was placed on the insulating spacers of the catalyst reaction bed, and the reaction temperature was 400 °C. Model bio-oil (10 mL) was gasified and introduced into the 400 °C preheated reactor using a peristaltic pump at a flow rate of 20 ml h−1 for 30 min with N2 as the carrier. N2 flushing was maintained for another 20 min after the experiment was complete to ensure that all condensable gas was cooled and collected. The liquid was dissolved in chloroform, and the mass of the liquid after removing chloroform was reported as ML. The yield of liquid after upgrading was defined as follows: where ML is the mass of the upgraded liquid and M0 is the mass of the total simulant component before the reaction.
The conversion of each model component was calculated as follows: where Wa and Wb are the mass of each model component after and before the reaction, respectively. For the regeneration study, the spent catalysts were regenerated using a muffle furnace by heating for 3 h at 550 °C, and then the catalytic activity was tested. The parameters of the regeneration catalytic activity experiments were the same as those of the catalytic tests mentioned above.
The conversion of each model component was calculated as follows: where Wa and Wb are the mass of each model component after and before the reaction, respectively. For the regeneration study, the spent catalysts were regenerated using a muffle furnace by heating for 3 h at 550 °C, and then the catalytic activity was tested. The parameters of the regeneration catalytic activity experiments were the same as those of the catalytic tests mentioned above.
A-A-1 antibiotic
Acetic Acid
Bio-Oil
Catalysis
Chloroform
cyclopentanone
enzyme activity
Furaldehyde
Guaiacol
Peristalsis
Regeneration
Toluene
Protocol full text hidden due to copyright restrictions
Open the protocol to access the free full text link
Atmosphere
Bio-Oil
biochar
Nitrogen
Oxygen
Pyrolysis
Stainless Steel
Compositional analysis and quantification of the detected compounds within the obtained bio-oil were performed by a GC–MS analysis (Agilent 7890A GC with Agilent 7000 Triple Quad GC/MS/MS, USA). Between 0.20 and 0.25 g of the pyrolysis liquid (either aqueous, either organic phase) was mixed with 100 μL of a 2.5 wt% fluoranthene (98%, Sigma Aldrich) solution in acetonitrile (99.5%, Carl Roth) as internal standard and diluted with 5 g acetonitrile. This solution with ca. 5 wt% analyte was injected (injector temperature of 250 °C, split ratio of 1:100), and was separated on an RTX-1701 chromatographic column (Restek, 60 m × 0.25 mm, 0.25 µm). Measurement for the energy of combustion was carried out by using a bomb colorimeter (IKA, C5000, Germany). Water content of the sample was measured by a Karl Fischer titration method. Simulated Distillation Gas Chromatography (SDGC) is a GC method that combine with simulation distillation software used to characterize crude oil sample. This technique was used to measure boiling range distribution. The bio-oils were analyzed for boiling range distribution measurement of Simulated Distillation of ASTM D 2887. The model of Simulated Distillation Gas Chromatography is Varian CP-3800 (USA) that was used in this experiment.
Lubricating properties of bio-oil derived from oleaginous yeast were carried out on a high frequency reciprocating rig (HFRR, United Kingdom) and the test parameters were set according to the test methods specified in ASTM D 6079. Experiments were repeated three times and repeatability was demonstrated to be less than 20 µm, which is acceptable according to the ASTM standard with a repeatability of 50 µm and reproducibility of 80 µm. To evaluate the lubricity of the bio-oil, an average wear scar diameter on the ball specimens was measured by the optical microscope with 100 × magnification. Microscopic observation of wear scar on disk specimens was made in a field emission scanning electron microscope (Zeiss Auriga, Germany) equipped with energy-dispersive X-ray spectrometry (EDX).
Lubricating properties of bio-oil derived from oleaginous yeast were carried out on a high frequency reciprocating rig (HFRR, United Kingdom) and the test parameters were set according to the test methods specified in ASTM D 6079. Experiments were repeated three times and repeatability was demonstrated to be less than 20 µm, which is acceptable according to the ASTM standard with a repeatability of 50 µm and reproducibility of 80 µm. To evaluate the lubricity of the bio-oil, an average wear scar diameter on the ball specimens was measured by the optical microscope with 100 × magnification. Microscopic observation of wear scar on disk specimens was made in a field emission scanning electron microscope (Zeiss Auriga, Germany) equipped with energy-dispersive X-ray spectrometry (EDX).
acetonitrile
Bio-Oil
Chromatography
Cicatrix
Distillation
Energy Dispersive X-Ray Spectrometry
fluoranthene
Gas Chromatography
Gas Chromatography-Mass Spectrometry
Light Microscopy
Microscopy
Oils
Petroleum
Pyrolysis
Scanning Electron Microscopy
Titrimetry
Yeast, Dried
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