Prediction of Acidity and Brix of Red Dragon Fruit Juice Non-destructively using Transmittance Visible Near Infrared Spectroscopy

The quality of dragon fruit juice is based on brix and acidity, which determine flavour. Brix and acidity are usually tested using sensory and titration methods, which have several limitations, such as being subjective and time-consuming. Visible-Near Infrared (Vis-NIR) spectroscopy method at a wavelength of 350-1000 nm in transmittance mode is suitable for detecting the quality of dragon fruit juice. The method is non-destructive, fast, and produces no waste. In this research, pure dragon fruit juice samples were mixed using water and liquid sugar concentrations, i.e., 10%, 20%, 30%, 40%, and 50% w/w. Spectra was obtained from a portable transmittance Vis-NIR spectrometer for dragon fruit juice, which was converted into absorbance. Actual brix and acidity were obtained using an acid and brix refractometer. Prediction models of acidity and brix content using the partial least square regression (PLSR) were constructed using actual brix and acidity values and absorbance spectra. Results showed that the PLSR models could predict Brix with R2C of 0.822, RMSEC of 3.971, RPD of 1.933, and acidity with R2C of 0.433, RMSEC of 0.583 %, RPD of 1.348. The research proved that Vis-NIR spectroscopy in transmittance mode allows the prediction of the Brix content of dragon fruit juice.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-03-19
DOI
https://doi.org/10.1051/bioconf/202516705005/pdf
Primary Topic
Spectroscopy and Chemometric Analyses
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prediction of Acidity and Brix of Red Dragon Fruit Juice Non-destructively using Transmittance Visible Near Infrared Spectroscopy

Bayu Avrislistya Nugraha, Hanim Zuhrotul Amanah, Reza Adhitama Putra Hernanda, Virginie Ratu Margareth Sinaga et al.
Springer Link (Chiba Institute of Technology)
Spectroscopy and Chemometric Analyses
article

Prediction of Acidity and Brix of Red Dragon Fruit Juice Non-destructively using Transmittance Visible Near Infrared Spectroscopy

Bayu Avrislistya Nugraha, Hanim Zuhrotul Amanah, Reza Adhitama Putra Hernanda, Virginie Ratu Margareth Sinaga, Rudiati Evi Masithoh
article en

Abstract

The quality of dragon fruit juice is based on brix and acidity, which determine flavour. Brix and acidity are usually tested using sensory and titration methods, which have several limitations, such as being subjective and time-consuming. Visible-Near Infrared (Vis-NIR) spectroscopy method at a wavelength of 350-1000 nm in transmittance mode is suitable for detecting the quality of dragon fruit juice. The method is non-destructive, fast, and produces no waste. In this research, pure dragon fruit juice samples were mixed using water and liquid sugar concentrations, i.e., 10%, 20%, 30%, 40%, and 50% w/w. Spectra was obtained from a portable transmittance Vis-NIR spectrometer for dragon fruit juice, which was converted into absorbance. Actual brix and acidity were obtained using an acid and brix refractometer. Prediction models of acidity and brix content using the partial least square regression (PLSR) were constructed using actual brix and acidity values and absorbance spectra. Results showed that the PLSR models could predict Brix with R2C of 0.822, RMSEC of 3.971, RPD of 1.933, and acidity with R2C of 0.433, RMSEC of 0.583 %, RPD of 1.348. The research proved that Vis-NIR spectroscopy in transmittance mode allows the prediction of the Brix content of dragon fruit juice.

Springer Link (Chiba Institute of Technology)
Clean water and sanitation
Openalex Percentile: Top 41%
Spectroscopy and Chemometric Analyses
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.