Overview
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Key numbers
The worker extracted the full PDF text with layout preservation twice and compared extraction hashes before commit. The following lines are copied from numeric/table-bearing regions of the PDF and retain the source units and wording where legible:
- field trials have demonstrated that suitable biochar an alternative organic conditioner (11).
- va L.) straw constitutes the highest percentage (62%) of ing in mind the waste management concept. The materials
- Table 1. General information on biochar production.
- with mortar and pestle and then passed through 2 mm and Biochar yield (%) = ×100
- muffle furnace for 6 h (14). The percent ash (% Ash) was deionized H2O (w:v) and equilibration at 90 min on the
- % Ash = ×100 The EC of biochar was determined electrochemically with
- nace and then cooled in desiccators (14). The % volatile KCl (pH 7.0) followed by replacing the potassium in the
- vert the nutrients into water-soluble form (21). Then P in with several studies. Previous studies reported 13.91%
- the digest was determined by the colorimetric method ash, 76.32% VM and 9.08% fixed C for rice straw (22). For
- using absorption spectrophotometry and total SO4-S in the sawdust, it was indicated 11.95% ash, 75.16% VM and
- digest was determined by the Turbidimetric method using 6.87% fixed C in the previous studies (23) whereas, 14.56%
- absorption spectrophotometry. Na, K, Ca, Mg and Zn were ash, 71.27% VM and 14.56% fixed C for water hyacinth (24).
- comparisons among data were analyzed through one-way content of the biomass material (24). Table 3 presents the
- Table 3. Bio-chemical composition of the biomass materials.
- WHB and RSWB) are presented in Table 2. Statistical analy-
- cantly (at p<0.05) in ash content, VM and fixed C (Table 2).
- amount (17.27±0.48%) of ash which was significantly
- est ash content was produced by SD (8.67±0.50%). RS had
- tent was produced by SDB (7.53±0.42%). SDB had the high-
- the highest VM content (77.21±0.91%) which was statisti-
- est VM content (27.81±0.62%) which was significantly
- amount of VM was produced by WHB (20.05±0.54%). Previ-
- was produced by WH (74.70±1.04 %).
- Table 2. Proximate analysis of biomasses and biochars. study (24). They stated that woody biomass-derived bio-
- (64.66±0.54%) of fixed C and it was significantly (p<0.001)
- WH 17.27±0.48a 74.70±1.04b 8.03±0.58c est amount (42.48±0.41%) of fixed C (Table 2). It was ob-
- served that 25.71% ash, 21.14% VM and 53.15% fixed C for
- Values are given as mean ± standard deviation (n = 3), Mean data in a column
- er ash (1.94%) content, much higher VM (72.00%) and low-
- followed by different letter(s) are statistically significant according to Tukey’s er fixed C (31.40%) (26). For WHB, scientists illustrated low-
- tests at P= 0.05, Here, RS=rice straw, SD=sawdust, WH=water hyacinth, RSW= er ash (14.45%) but similar VM (25.74%) and fixed C
- SDB=sawdust biochar, WHB=water hyacinth biochar, RSWB=co-biochar, (49.69%) % where the biochar was also produced at 400 ºC
- with pine cones and vegetable wastes at a 1:1 blend ratio,
- SD showed the highest amount (14.37±0.55%) of pyrolyzed at 500 ºC and observed slightly lower ash
- fixed C and it was significantly (p<0.001) higher than that (18.1%) and VM (10.3%) but higher fixed C (70.5%) content
- tively (Table 4). Therefore, the ash, VM and fixed C content ment.
- Table 4. Pearson correlation (r) matrix of biomass ash, biomass VM, biomass are presented in Table 6. According to the results, the bio-
- Biomass VM -0.823 (p<0.001) among the biochars (Table 6). Results revealed
- 0.968 -0.911 (Table 6). WHB showed significantly higher WHC than oth-
- spectively (Table 5) where the biomass materials were not ment for light-textured soil because of their high WHC.
- Table 5. Paired t-test and CI: Biomass, Biochar.
- Sample N Mean StDev 95% CI for mean difference t-Value P-Value
Methods (brief)
- Clarivate Analytics, NAAS, UGC Care, etc
- biomass originating from the agriculture sector. Besides, were collected from the locality. Rice straw and water hya-
- termined by suspending 100 g (Winitial) of dry sample in 1 L
- weight of the sample was determined as Wfinal (15). To de-
- Biomasses and biochars sample preparation and chara- Yield
- analysis. The biochar samples were homogenized, ground Weight of biochar
- biochar samples. The procedure to estimate each of these The surface area of the biochars was estimated according
- samples to 750 °C in an air atmosphere using the same with a pH meter using a modified dilution of 1:20 biochar:
- weight) samples to 950 °C for 10 min using the muffle fur- The CEC was determined by extracting the biochar with 1N
- Fixed C burning the dry (at 105 °C to constant weight) samples in a
- % Fixed carbon= The total nitrogen of the samples was determined by Micro
- -Kjeldahl’s method following H2SO4 acid digestion as sug-
- Weight 105 °C dried For the total nutrient analysis, the samples were subjected
- (Eqn. 3) to wet digestion with HN03-HC104 (2:1) acid mixture to con-
- determined using inductively coupled plasma (ICP)– All of the investigators represented their results in wt.%,
- Sample atile materials than non-woody biochars. Among the 4
- Sample N Mean StDev 95% CI for mean difference t-Value P-Value
- Sample N Mean StDev mean differ- t-Value
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