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Rice Straw as a Natural Sorbent in a Filter System as an Approach to Bioremediate Diesel Pollution
by
Siti Hajar Taufik
, Noor Azmi Shaharuddin
, Alyza Azzura Azmi
, Faradina Merican
, Peter Convey
, Khalilah Abdul Khalil
, Siti Aqlima Ahmad
, Farah Eryssa Khalid
, Azham Zulkharnain
, Nur Nadhirah Zakaria
in
absorption
/ agricultural wastes
/ diesel fuel
/ Efficiency
/ Effluents
/ Morphology
/ oil absorption efficiency
/ oils
/ one-factor-at-a-time (OFAT)
/ Pollution
/ reflectance
/ response surface methodology
/ response surface methodology (RSM)
/ Rice
/ rice straw
/ rice straw; sorption capacity; oil absorption efficiency; morphology; spectroscopic analysis; one-factor-at-a-time (OFAT); response surface methodology (RSM)
/ Scanning electron microscopy
/ Seawater
/ Sorbents
/ sorption capacity
/ spectral analysis
/ spectroscopic analysis
/ spectroscopy
/ Spectrum analysis
/ temperature
/ Variance analysis
/ X-radiation
2021
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Rice Straw as a Natural Sorbent in a Filter System as an Approach to Bioremediate Diesel Pollution
by
Siti Hajar Taufik
, Noor Azmi Shaharuddin
, Alyza Azzura Azmi
, Faradina Merican
, Peter Convey
, Khalilah Abdul Khalil
, Siti Aqlima Ahmad
, Farah Eryssa Khalid
, Azham Zulkharnain
, Nur Nadhirah Zakaria
in
absorption
/ agricultural wastes
/ diesel fuel
/ Efficiency
/ Effluents
/ Morphology
/ oil absorption efficiency
/ oils
/ one-factor-at-a-time (OFAT)
/ Pollution
/ reflectance
/ response surface methodology
/ response surface methodology (RSM)
/ Rice
/ rice straw
/ rice straw; sorption capacity; oil absorption efficiency; morphology; spectroscopic analysis; one-factor-at-a-time (OFAT); response surface methodology (RSM)
/ Scanning electron microscopy
/ Seawater
/ Sorbents
/ sorption capacity
/ spectral analysis
/ spectroscopic analysis
/ spectroscopy
/ Spectrum analysis
/ temperature
/ Variance analysis
/ X-radiation
2021
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Rice Straw as a Natural Sorbent in a Filter System as an Approach to Bioremediate Diesel Pollution
by
Siti Hajar Taufik
, Noor Azmi Shaharuddin
, Alyza Azzura Azmi
, Faradina Merican
, Peter Convey
, Khalilah Abdul Khalil
, Siti Aqlima Ahmad
, Farah Eryssa Khalid
, Azham Zulkharnain
, Nur Nadhirah Zakaria
in
absorption
/ agricultural wastes
/ diesel fuel
/ Efficiency
/ Effluents
/ Morphology
/ oil absorption efficiency
/ oils
/ one-factor-at-a-time (OFAT)
/ Pollution
/ reflectance
/ response surface methodology
/ response surface methodology (RSM)
/ Rice
/ rice straw
/ rice straw; sorption capacity; oil absorption efficiency; morphology; spectroscopic analysis; one-factor-at-a-time (OFAT); response surface methodology (RSM)
/ Scanning electron microscopy
/ Seawater
/ Sorbents
/ sorption capacity
/ spectral analysis
/ spectroscopic analysis
/ spectroscopy
/ Spectrum analysis
/ temperature
/ Variance analysis
/ X-radiation
2021
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Rice Straw as a Natural Sorbent in a Filter System as an Approach to Bioremediate Diesel Pollution
Journal Article
Rice Straw as a Natural Sorbent in a Filter System as an Approach to Bioremediate Diesel Pollution
2021
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Overview
Rice straw, an agricultural waste product generated in huge quantities worldwide, is utilized to remediate diesel pollution as it possesses excellent characteristics as a natural sorbent. This study aimed to optimize factors that significantly influence the sorption capacity and the efficiency of oil absorption from diesel-polluted seawater by rice straw (RS). Spectroscopic analysis by attenuated total reflectance infrared (ATR-IR) spectroscopy and surface morphology characterization by variable pressure scanning electron microscopy (VPSEM) and energy-dispersive X-ray microanalysis (EDX) were carried out in order to understand the sorbent capability. Optimization of the factors of temperature pre-treatment of RS (90, 100, 110, 120, 130 or 140 °C), time of heating (10, 20, 30, 40, 50, 60 or 70 min), packing density (0.08, 0.10, 0.12, 0.14 or 0.16 g cm−3) and oil concentration (5, 10, 15, 20 or 25% (v/v)) was carried out using the conventional one-factor-at-a-time (OFAT) approach. To eliminate any non-significant factors, a Plackett–Burman design (PBD) in the response surface methodology (RSM) was used. A central composite design (CCD) was used to identify the presence of significant interactions between factors. The quadratic model produced provided a very good fit to the data (R2 = 0.9652). The optimized conditions generated from the CCD were 120 °C, 10 min, 0.148 g cm−3 and 25% (v/v), and these conditions enhanced oil sorption capacity from 19.6 (OFAT) to 26 mL of diesel oil, a finding verified experimentally. This study provides an improved understanding of the use of a natural sorbent as an approach to remediate diesel pollution.
Publisher
MDPI AG
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