ArticleProbiotics and antimicrobial proteins2025
Optimisation of Process Parameters for Development of Probiotic-GABA Enriched Nutri Bar by Response Surface Methodology (RSM) and Modelling Using Artificial Neural Networks (ANNs): Characterization and Sensory Evaluation by Fuzzy Logic Analysis.
Article in Probiotics and antimicrobial proteins, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of the research was to optimize the process conditions for development of nutri bar enriched with spray dried probiotic strain Lactococcus lactis SKL 13 and γ-aminobutyric acid (GABA) using response surface methodology (RSM) and the artificial neural network (ANN) algorithms. Further, the physicochemical (such as probiotic count, GABA, hardness, water activity, and free fatty acid content), functional and sensory properties of the developed bars were evaluated using fuzzy logic analysis. The optimized process parameters, such as heating temperature and treatment time of 125.6 °C and 26.4 min, respectively, were obtained using RSM for the preparation of the nutri bar. While modelling, the ANN showed better predictive ability than RSM as the coefficient of determination (R
Indexed as
Identifiers
40323549What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.