The Design of Fiber Optical Sensor for the detection of Anthocyanin level in Blueberry

Blueberries' freshness, maturity, and nutritional worth can only be determined by their anthocyanin concentration. Known for its antioxidant qualities, anthocyanins are the pigments that give blueberries red, purple, and blue hues. Conventional techniques, such as spectrophotometry and high-performance liquid chromatography (HPLC), are very accurate yet costly, time-consuming, and destructive when used to measure anthocyanin quantities. Conversely, fiber optic sensors (FOS) use the absorption characteristics of visible light, namely in the 520-580 nm range, to provide a real-time, invasive option for anthocyanin detection. The main goal of this study is to simulate and create a fiber optic sensor to assess the amount of anthocyanins in crushed blueberries. A smashed Blueberry was used to simulate the transmission and absorption of light. This technique for quick and accurate anthocyanin measurement by simulating light propagation and absorption in crushed Blueberry samples and designing an ideal fiber optic setup. To construct the sensor, the right materials must be chosen, the system must be calibrated with different levels of anthocyanin concentrations, and FOS and laboratory testing must confirm its functionality. According to the results, fiber optic sensors have great promise for use in precision farming and quality control settings in the agricultural and food processing industries.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2024-11-25
DOI
https://doi.org/10.22214/ijraset.2024.65459
Primary Topic
Spectroscopy and Chemometric Analyses
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Design of Fiber Optical Sensor for the detection of Anthocyanin level in Blueberry

Mauli K. Pandhare
International Journal for Research in Applied Science and Engineering Technology
Spectroscopy and Chemometric Analyses
article

The Design of Fiber Optical Sensor for the detection of Anthocyanin level in Blueberry

Mauli K. Pandhare
article en

Abstract

Blueberries' freshness, maturity, and nutritional worth can only be determined by their anthocyanin concentration. Known for its antioxidant qualities, anthocyanins are the pigments that give blueberries red, purple, and blue hues. Conventional techniques, such as spectrophotometry and high-performance liquid chromatography (HPLC), are very accurate yet costly, time-consuming, and destructive when used to measure anthocyanin quantities. Conversely, fiber optic sensors (FOS) use the absorption characteristics of visible light, namely in the 520-580 nm range, to provide a real-time, invasive option for anthocyanin detection. The main goal of this study is to simulate and create a fiber optic sensor to assess the amount of anthocyanins in crushed blueberries. A smashed Blueberry was used to simulate the transmission and absorption of light. This technique for quick and accurate anthocyanin measurement by simulating light propagation and absorption in crushed Blueberry samples and designing an ideal fiber optic setup. To construct the sensor, the right materials must be chosen, the system must be calibrated with different levels of anthocyanin concentrations, and FOS and laboratory testing must confirm its functionality. According to the results, fiber optic sensors have great promise for use in precision farming and quality control settings in the agricultural and food processing industries.

International Journal for Research in Applied Science and Engineering TechnologyVol. 12(11)
Shivaji University, Kolhapur
Zero hunger
Openalex Percentile: Top 80%
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.