ArticleMicrobial cell factories2025
Real-time pH and temperature monitoring in solid-state fermentation reveals culture physiology and optimizes enzyme harvesting for tailored applications.
Article in Microbial cell factories, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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
5 citing papers in PubMed.
- Enhanced petroleum hydrocarbon degradation by biosurfactant-producing bacteria from Iko River estuarine sediments, Akwa Ibom State, Nigeria.BMC ecology and evolution · 2026Article
- Optimization of fermentation conditions for cellulase/xylanase production and hydrolysis conditions for efficient conversion of agricultural residues using Penicillium oxalicum UNN1.Bioresources and bioprocessing · 2026Article
- Stimuli-Responsive Hydrogels in Food Sector: Multi-Component Design, Stimulus-Response Mechanisms, and Broad Applications.Gels (Basel, Switzerland) · 2026Review
- Study of Fermentation Conditions Optimization for Xylanase Production byFoods (Basel, Switzerland) · 2026Article
- Substrate dependent growth conditions and moisture dynamics drive aroma development in solid-stateFrontiers in microbiology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Enzyme production is crucial for biorefinery applications and the valorization of agricultural residues. However, real-time monitoring of pH and temperature in enzyme-producing solid-state fermentation (SSF) is generally regarded as challenging due to the system's complexity, with previous studies relying primarily on sacrificial sampling for pH measurements. This study integrates real-time monitoring of pH and temperature with systematic nutrient medium optimization to enhance the SSF enzyme production of α-galactosidase, invertase, pectinase, xylanase, and cellulase by Aspergillus niger NRRL 322 using soybean hulls as the sole carbon source. By capturing dynamic shifts in pH and temperature throughout fermentation, this approach provided important insights into cell growth dynamics, metabolic transitions, and their direct correlations with enzyme production profiles. Comparative analysis of different nutrient media, including nitrogen sources, macronutrient concentrations, and medium strengths, revealed that nitrogen supplementation and balanced macronutrient levels are critical for maximizing enzyme yields. Notably, pH fluctuations were strongly linked to enzyme activity trends, with pectinase and xylanase exhibiting distinct declines after reaching peak levels. The ability to monitor pH and temperature in real time enabled precise optimization of harvest timing for specific enzyme compositions tailored to different industrial applications. These findings establish real-time pH and temperature tracking as a valuable tool for improving SSF process control, paving the way for more efficient and economically viable enzyme production in sustainable biorefineries.
Indexed as
Identifiers
What 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.