Natural plant extracts for quality assessment in milk by replacing conventional color reduction methods

Abstract Our study proposes a novel approach using aqueous extracts of plant material Ruellia simplex to screen milk for microbiological quality rapidly. We tested plant extracts for colour changes at various pH levels, with different dyes as the control. The differential pH method was used to assess milk freshness using plant extracts. The Ruellia simplex flower extract was tested with its pH-dependent colour shift (6; purple to 1; dark pink). The Ruellia simplex extract has an anthocyanin content of 0.609 g/ml. The approach demonstrated great linearity (R 2 = 0.978), 100% accuracy, and reproducibility. The limits of detection and quantification were 0.027 and 0.082 g/mL, respectively. This technology has the potential to revolutionise milk quality testing by providing a cost-effective and efficient alternative to traditional dye-based procedures, especially in rural and remote locations. Its application in intelligent food packaging has the potential to alter dairy sector practices internationally by allowing for accessible and real-time quality monitoring.

Authors

Institutions

Publication Details

Journal
Journal of Food Measurement & Characterization
Published
2025-04-01
DOI
https://doi.org/10.1007/s11694-025-03226-5
Citations
1
Primary Topic
Meat and Animal Product Quality
Type
article
Field-Weighted Citation Impact
1.19

Funders

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

Natural plant extracts for quality assessment in milk by replacing conventional color reduction methods

Kishor Kumar Sadasivuni, Mizaj Shabil Sha, Farsana Bin Faisal, Thasneem Khalid Ottakath et al.
1 citations
Journal of Food Measurement & Characterization
Meat and Animal Product Quality
1.19
article

Natural plant extracts for quality assessment in milk by replacing conventional color reduction methods

Kishor Kumar Sadasivuni, Mizaj Shabil Sha, Farsana Bin Faisal, Thasneem Khalid Ottakath, Nihal Maliekkal Poovadichalil
article en
1 citations

Abstract

Abstract Our study proposes a novel approach using aqueous extracts of plant material Ruellia simplex to screen milk for microbiological quality rapidly. We tested plant extracts for colour changes at various pH levels, with different dyes as the control. The differential pH method was used to assess milk freshness using plant extracts. The Ruellia simplex flower extract was tested with its pH-dependent colour shift (6; purple to 1; dark pink). The Ruellia simplex extract has an anthocyanin content of 0.609 g/ml. The approach demonstrated great linearity (R 2 = 0.978), 100% accuracy, and reproducibility. The limits of detection and quantification were 0.027 and 0.082 g/mL, respectively. This technology has the potential to revolutionise milk quality testing by providing a cost-effective and efficient alternative to traditional dye-based procedures, especially in rural and remote locations. Its application in intelligent food packaging has the potential to alter dairy sector practices internationally by allowing for accessible and real-time quality monitoring.

Journal of Food Measurement & CharacterizationVol. 19(5)
Qatar University (QA)
Fonds National de la Recherche Luxembourg, Qatar University, Qatar National Research Fund, Qatar National Library
Openalex Percentile: Top 26%
Meat and Animal Product Quality
1.19
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.

Natural plant extracts for quality assessment in milk by replacing conventional color reduction methods — Kishor Kumar Sadasivuni, Mizaj Shabil Sha, et al. · Journal of Food Measurement & Characterization (2025) | TGRS Research Map | TGRS