Abstract:Background and purpose: Wood and wood processing industries are generators of a substantial amount of waste wood biomass, such as wood chips, shavings and sawdust. Such waste is often unused and its disposal can be a serious environmental problem. Different lignocellulosic waste materials have been successfully used as low-cost adsorbents (biosorbents) for the removal of synthetic dyes, as well as other contaminants, from wastewater. The aim of this study was to valorise the waste wood biomass of ten tree spec… Show more
“…Furthermore, out of the tested samples, poplars are characterized by the smallest specific density and (thus) the highest internal porosity [26,27], which could be the reason for the highest biosorption efficiency. The same 10 biosorbents were screened for cationic dye Methylene Blue (MB) removal under similar experimental conditions (different contact time, t = 120 min) and showed exceptional biosorptive capability with over 90% MB removal in all runs [15]. These results are consistent with the research by Nacu [28] who reported that adsorption capacity of sawdust for cationic dyes is much higher than that for anionic dyes (such as CR).…”
Section: Screening Of Waste Biomass Of Different Wood Species As Biosorbents For Cr Removalsupporting
confidence: 83%
“…Pine bark 1.6 100 [9] Lemon-scented gum sawdust 0.523 >80 [10] Fir (Abies nordmanniana) sawdust 28.1 86 [11] Chir pine (Pinus roxburghii) sawdust 5.8 72 [12] Eucalyptus (Eucalyptus globulus) sawdust ->80 [13] Methylene Blue White cedar sawdust 55.15 - [14] Poplar waste biomass 21.9 98.50 [15] Pine sawdust (Pinus strobus) 10.3 99.94 [16] Cedar tree sawdust 142.36 - [17] Basic Violet 1 Chir pine (Pinus roxburghii) sawdust 11.3 96 [12] Disperse Orange 30 Poplar sawdust 0.089 83.4 [18] Eriochrome Black T Sawdust unspecified 40.96 80 [19] Allura Red AS Sawdust unspecified 50.98 - [20] Safranine O Sawdust unspecified -98 [21] Compared to activated carbon and biochar, native lignocellulosic materials as biosorbents are mostly inferior, i.e., adsorption capacities of native materials are lower. Therefore, attempts have been made to improve the adsorption capacities of such materials by phys-ical and/or chemical methods, including the production of biochar.…”
Section: Congo Redmentioning
confidence: 99%
“…Characterization of all investigated biosorbents, namely elemental composition (CHN analysis), contents of ash, extractives, proteins and cellulose, point of zero charge (pH pzc ), and determination of surface functional groups (by Fourier transform infrared spectroscopy, FTIR) was given previously [15].…”
Section: Biosorbent Characterizationmentioning
confidence: 99%
“…Douglas fir the least efficient with 13.1% CR removal and biosorption capacity of 0.5 mg g −1 . A ported previously [15], all the tested samples are characterized by high cellulose con and probably also by considerable hemicellulose and lignin contents [8]. The presen many specific functional groups of these polymers usually favors the biosorptive rem of dyes.…”
Section: Screening Of Waste Biomass Of Different Wood Species As Biosorbents For Cr Removalmentioning
confidence: 99%
“…The slight shifting of the peaks (frequency and intensity change) in the FTIR spectrum of CR loaded EP compared to that of EP could be assigned to the biosorption of CR on the surface of biosorbent. As reported previously [15], EP used in this study is comprised of a large portion of cellulose (40.53%). The presence of cellulose, hemicellulose, and lignin, with a substantial number of functional groups present at the biosorbent surface, favorably affects the removal of dyes.…”
The aim of the study was to screen the waste wood biomass of 10 wood species as biosorbents for synthetic dye Congo Red (CR) removal from water and to single out the most efficient species for further batch biosorption experiments. Euroamerican poplar (EP), the most efficient species achieving 71.8% CR removal and biosorption capacity of 3.3 mg g−1, was characterized by field emission scanning electron microscopy (FE-SEM) and Fourier transform infrared spectroscopy (FTIR). Different factors affecting the biosorption process were investigated: initial biosorbent concentration (1–10 g dm−3), contact time (5–360 min), initial CR concentration (10–100 mg dm−3), and the initial pH (pH = 4–9). The results showed that CR removal efficiency increased with the increase of biosorbent concentration and contact time. Increase of initial CR concentration led to an increase of the biosorption capacity, but also a decrease of CR removal efficiency. The highest CR removal efficiency was achieved at pH = 4, while at pH = 9 a significant decrease was noticed. The percentage of CR removal from synthetic wastewater was 18.6% higher than from model CR solution. The Langmuir model fitted well the biosorption data, with the maximum biosorption capacity of 8 mg g−1. The kinetics data were found to conform to the pseudo-second-order kinetics model.
“…Furthermore, out of the tested samples, poplars are characterized by the smallest specific density and (thus) the highest internal porosity [26,27], which could be the reason for the highest biosorption efficiency. The same 10 biosorbents were screened for cationic dye Methylene Blue (MB) removal under similar experimental conditions (different contact time, t = 120 min) and showed exceptional biosorptive capability with over 90% MB removal in all runs [15]. These results are consistent with the research by Nacu [28] who reported that adsorption capacity of sawdust for cationic dyes is much higher than that for anionic dyes (such as CR).…”
Section: Screening Of Waste Biomass Of Different Wood Species As Biosorbents For Cr Removalsupporting
confidence: 83%
“…Pine bark 1.6 100 [9] Lemon-scented gum sawdust 0.523 >80 [10] Fir (Abies nordmanniana) sawdust 28.1 86 [11] Chir pine (Pinus roxburghii) sawdust 5.8 72 [12] Eucalyptus (Eucalyptus globulus) sawdust ->80 [13] Methylene Blue White cedar sawdust 55.15 - [14] Poplar waste biomass 21.9 98.50 [15] Pine sawdust (Pinus strobus) 10.3 99.94 [16] Cedar tree sawdust 142.36 - [17] Basic Violet 1 Chir pine (Pinus roxburghii) sawdust 11.3 96 [12] Disperse Orange 30 Poplar sawdust 0.089 83.4 [18] Eriochrome Black T Sawdust unspecified 40.96 80 [19] Allura Red AS Sawdust unspecified 50.98 - [20] Safranine O Sawdust unspecified -98 [21] Compared to activated carbon and biochar, native lignocellulosic materials as biosorbents are mostly inferior, i.e., adsorption capacities of native materials are lower. Therefore, attempts have been made to improve the adsorption capacities of such materials by phys-ical and/or chemical methods, including the production of biochar.…”
Section: Congo Redmentioning
confidence: 99%
“…Characterization of all investigated biosorbents, namely elemental composition (CHN analysis), contents of ash, extractives, proteins and cellulose, point of zero charge (pH pzc ), and determination of surface functional groups (by Fourier transform infrared spectroscopy, FTIR) was given previously [15].…”
Section: Biosorbent Characterizationmentioning
confidence: 99%
“…Douglas fir the least efficient with 13.1% CR removal and biosorption capacity of 0.5 mg g −1 . A ported previously [15], all the tested samples are characterized by high cellulose con and probably also by considerable hemicellulose and lignin contents [8]. The presen many specific functional groups of these polymers usually favors the biosorptive rem of dyes.…”
Section: Screening Of Waste Biomass Of Different Wood Species As Biosorbents For Cr Removalmentioning
confidence: 99%
“…The slight shifting of the peaks (frequency and intensity change) in the FTIR spectrum of CR loaded EP compared to that of EP could be assigned to the biosorption of CR on the surface of biosorbent. As reported previously [15], EP used in this study is comprised of a large portion of cellulose (40.53%). The presence of cellulose, hemicellulose, and lignin, with a substantial number of functional groups present at the biosorbent surface, favorably affects the removal of dyes.…”
The aim of the study was to screen the waste wood biomass of 10 wood species as biosorbents for synthetic dye Congo Red (CR) removal from water and to single out the most efficient species for further batch biosorption experiments. Euroamerican poplar (EP), the most efficient species achieving 71.8% CR removal and biosorption capacity of 3.3 mg g−1, was characterized by field emission scanning electron microscopy (FE-SEM) and Fourier transform infrared spectroscopy (FTIR). Different factors affecting the biosorption process were investigated: initial biosorbent concentration (1–10 g dm−3), contact time (5–360 min), initial CR concentration (10–100 mg dm−3), and the initial pH (pH = 4–9). The results showed that CR removal efficiency increased with the increase of biosorbent concentration and contact time. Increase of initial CR concentration led to an increase of the biosorption capacity, but also a decrease of CR removal efficiency. The highest CR removal efficiency was achieved at pH = 4, while at pH = 9 a significant decrease was noticed. The percentage of CR removal from synthetic wastewater was 18.6% higher than from model CR solution. The Langmuir model fitted well the biosorption data, with the maximum biosorption capacity of 8 mg g−1. The kinetics data were found to conform to the pseudo-second-order kinetics model.
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