A Single-Step Solid Acid-Catalyzed Process for the Production of Biodiesel from High Free Fatty Acid Feedstocks
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Bibliographic record
Abstract
Biodiesel is a nontoxic, renewable, and biodegradable alternative green fuel for petroleum-based diesel. However, the major obstacle for the commercial production of biodiesel is the high cost of raw material, i.e., refined vegetable oils. This problem can be addressed using low-cost feedstocks, such as waste oils and fats. However, these feedstocks contain a high amount of free fatty acids (FFAs), which cannot be used for the production of biodiesel using a traditional homogeneous alkali-catalyzed transesterification process. A solid acid catalyst based on a supported heteropolyacid catalyst (PSA) was evaluated for the production of biodiesel from soybean oil (SBO) containing up to 25 wt % palmitic acid (PA). It was demonstrated that this solid acid catalyst catalyzed simultaneously esterification and transesterification. The total glycerin, ester content, and acid numbers were determined according to ASTM D 6584, EN 14103, and ASTM D 974, respectively. It was found that at 200 °C, 1:27 oil/alcohol molar ratio, and 3 wt % catalyst, a high-quality biodiesel with an ester content of 93.95 mass % was produced from a feedstock (SBO containing 10% PA) in 10 h. The PA and chemically bound glycerin (CBG), which includes triglyceride (TG), diglyceride (DG), and monoglyceride (MG), conversions of 92.44 and 99.38% were obtained, respectively. The effect of process parameters, such as catalyst amount, oil/alcohol molar ratio, and FFA content in the feedstock, has been investigated. This single-step solid acid-catalyzed process has potential for industrial-scale production of biodiesel from high FFA feedstocks.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it