Monitoring Tremella fuciformis submerged fermentation using ATR-MIR combined with chemometrics
- 30 March 2025
- journal article
- research article
- Published by Elsevier in Food Chemistry
- Vol. 482, 144027
Abstract
No abstract availableKeywords
Funding Information
- Shanghai Institute of Technology (xtcx2022-17)
- Science and Technology Commission of Shanghai Municipality (21142202800)
This publication has 34 references indexed in Scilit:
- Coupling annealed silver nanoparticles with a porous silicon Bragg mirror SERS substrate and machine learning for rapid non-invasive disease diagnosisAnalytica Chimica Acta, 2023
- Near infrared spectroscopy as a fast and non-destructive technique for total acidity prediction of intact mango: Comparison among regression approachesComputers and Electronics in Agriculture, 2022
- An ensemble tree-based machine learning model for predicting the uniaxial compressive strength of travertine rocksNeural Computing and Applications, 2019
- Early detection of undesirable deviations in must fermentation using a portable FTIR‐ATR instrument and multivariate analysisJournal of Chemometrics, 2019
- The prediction of food additives in the fruit juice based on electronic nose with chemometricsFood Chemistry, 2017
- Input variable selection for thermal load predictive models of commercial buildingsEnergy and Buildings, 2017
- Data fusion methodologies for food and beverage authentication and quality assessment – A reviewAnalytica Chimica Acta, 2015
- Ultrasonic-assisted extraction optimized by response surface methodology, chemical composition and antioxidant activity of polysaccharides from Tremella mesentericaCarbohydrate Polymers, 2011
- Using decision trees to summarize associative classification rulesExpert Systems with Applications, 2009
- Assessment of dentifrice adulteration with diethylene glycol by means of ATR-FTIR spectroscopy and chemometricsAnalytica Chimica Acta, 2008