Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Assessing Fermentation Broth Quality of Pineapple Vinegar Production with a Near-Infrared Fiber-Optic Probe Coupled with Stability Competitive Adaptive Reweighted Sampling
by
Jungtheerapanich, Sunee
, Janchai, Phornphimon
, Kasemsumran, Sumaporn
, Boondaeng, Antika
, Ngowsuwan, Kraireuk
, Apiwatanapiwat, Waraporn
, Vaithanomsat, Pilanee
in
Acetic acid
/ Acids
/ Alcohol
/ Analysis
/ Chromatography
/ Equipment and supplies
/ Ethanol
/ Fermentation
/ Fiber optics
/ fiber-optic probe
/ Fruits
/ near-infrared
/ Optics
/ Organic acids
/ Oxidation
/ pineapple vinegar
/ Public health
/ Spectrum analysis
/ stability competitive adaptive reweighted sampling
/ Vinegar
2023
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Assessing Fermentation Broth Quality of Pineapple Vinegar Production with a Near-Infrared Fiber-Optic Probe Coupled with Stability Competitive Adaptive Reweighted Sampling
by
Jungtheerapanich, Sunee
, Janchai, Phornphimon
, Kasemsumran, Sumaporn
, Boondaeng, Antika
, Ngowsuwan, Kraireuk
, Apiwatanapiwat, Waraporn
, Vaithanomsat, Pilanee
in
Acetic acid
/ Acids
/ Alcohol
/ Analysis
/ Chromatography
/ Equipment and supplies
/ Ethanol
/ Fermentation
/ Fiber optics
/ fiber-optic probe
/ Fruits
/ near-infrared
/ Optics
/ Organic acids
/ Oxidation
/ pineapple vinegar
/ Public health
/ Spectrum analysis
/ stability competitive adaptive reweighted sampling
/ Vinegar
2023
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Assessing Fermentation Broth Quality of Pineapple Vinegar Production with a Near-Infrared Fiber-Optic Probe Coupled with Stability Competitive Adaptive Reweighted Sampling
by
Jungtheerapanich, Sunee
, Janchai, Phornphimon
, Kasemsumran, Sumaporn
, Boondaeng, Antika
, Ngowsuwan, Kraireuk
, Apiwatanapiwat, Waraporn
, Vaithanomsat, Pilanee
in
Acetic acid
/ Acids
/ Alcohol
/ Analysis
/ Chromatography
/ Equipment and supplies
/ Ethanol
/ Fermentation
/ Fiber optics
/ fiber-optic probe
/ Fruits
/ near-infrared
/ Optics
/ Organic acids
/ Oxidation
/ pineapple vinegar
/ Public health
/ Spectrum analysis
/ stability competitive adaptive reweighted sampling
/ Vinegar
2023
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Assessing Fermentation Broth Quality of Pineapple Vinegar Production with a Near-Infrared Fiber-Optic Probe Coupled with Stability Competitive Adaptive Reweighted Sampling
Journal Article
Assessing Fermentation Broth Quality of Pineapple Vinegar Production with a Near-Infrared Fiber-Optic Probe Coupled with Stability Competitive Adaptive Reweighted Sampling
2023
Request Book From Autostore
and Choose the Collection Method
Overview
In this study, the performance of a near-infrared (NIR) fiber-optic probe coupled with stability competitive adaptive reweighted sampling (SCARS) was investigated for the analysis of acetic acid, ethanol, total soluble solids, caffeic acid, gallic acid, and tannic acid in the broth of pineapple vinegar during fermentation. The NIR spectra of the broth samples in the region of 11,536–3956 cm−1 were collected during vinegar fermentation promoted by Acetobacter aceti. This continuous biological process led to changes in the concentrations of all analytes studied. SCARS provided optimized and stabilized NIR spectral variables for the construction of a partial least squares (PLS) model for each analyte using a small number of optimal variables (under 88 variables). The SCARS-PLS model outperformed the conventional PLS model, and achieved excellent accuracy in accordance with ISO 12099:2017 for the four prediction models of acetic acid, ethanol, caffeic acid, and gallic acid, with root-mean-square error of prediction values of 0.137%, 0.178%, 0.637 μg/mL and 0.640 μg/mL, respectively. In contrast, only an acetic acid content prediction model constructed via the conventional PLS method and using the whole spectral region (949 variables) could pass with acceptable accuracy. These results indicate that the NIR optical probe coupled with SCARS is an appropriate method for the continuous monitoring of multianalytes during vinegar fermentation, particularly acetic acid and ethanol contents, which are indicators of the finished fermentation of pineapple vinegar.
This website uses cookies to ensure you get the best experience on our website.