Effect of Hibicus sabdariffa on the Nutritional and Sensory Properties of Novel Naem Product
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Naem is a traditional Asian fermented sausage made from the mixture of raw meat, cooked rice, garlic, salt, sugar, spices, and sodium nitrite. With consumers more concerned with healthy food choices, Hibiscus sabdariffa (HS) can be used as substitute for sodium nitrite in Naem preparation. Therefore, the objective of this study was to evaluate the effects of HS on the sensory, quality, and physicochemical analyses of Naem products. Four concentrations of HS were evaluated in this experiment: 1) 0%, 2) 1%, 3) 3% and 4) 5% HS. Treatments were analyzed for sensory evaluation by using a 9-point hedonic scale (trained panelists = 38). Physicochemical characteristics were evaluated for color (L*, a*, and b* values), pH, water activity, moisture (%), ash content, and lipid stability (TBARS). In addition, nutrition profiles, lactic acid bacteria, aerobic plate counts, Escherichia coli, and Listeria spp. were completed. SPSS with one-way ANOVA was used to evaluate any significant differences with p<0.05. The sensory evaluation revealed that Naem prepared with 3% HS had the highest overall acceptance scores (5.76), flavor (5.81), and taste (5.66). In addition, fermented Naem with 3% HS showed the highest scores of acceptability (92.2%), purchase intent (71.1%), and lactic acid bacteria counts (5.41 log CFU/g). The initial pH values, water activity, moisture (%), and ash content in this experiment ranged from 5.44-5.57, 0.93-0.94, 63.17-64.94%, and 1.51-1.74%, respectively. There was a significant (p<0.05) on color after 7 days storage at 3°C. Specifically, a* values were decreased in all treatments. The control treatment obtained the highest TBARS values (0.83 mg MDA/kg). No E. coli or Listeria spp. were detected. The results of this study indicate that Hibiscus sabdariffa can be used as a natural spice for Naem products which may help the meat industry increase market share through this innovative product.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.012 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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