Investigation of QCM Sensor coated with Biosynthesized Nanomaterial to detect major volatile in Indian Cumin

A highly sensitive and selective Quartz Crystal Microbalance (QCM) gas sensor has been developed to detect volatile present in Indian cumin. Fresh rose petals, R. damascena, have been utilized to generate a natural bio-coating material. The pink-colored extract was prepared after cleaning and boiling the petal pieces in Milli-Q water followed by filtration. This extract was used to synthesize gold nanoparticles by mixing it with HAuCl4 solution, resulting in a color change from light yellow to deep pink, indicating nanoparticle formation. The nanoparticles were separated through centrifugation and deposited onto the QCM surface. The sensor fabrication process involved 15 coating cycles, achieving maximum mass deposition, with the initial frequency of 9994862 Hz decreasing by 4352 Hz. Chronogram analysis revealed the mass and frequency variation during the process. The sensors were tested with the volatile compounds in Indian cumin, identified by GC-MS analysis and the sensor is responsive in detecting α-Pinene present in Indian cumin. The biosynthesized sensor had a sensitivity value of 0.1987 Hz/mgL⁻¹ with a high correlation factor (R2 = 0.9917). The results show that the sensor was successfully fabricated by using naturally derived nanomaterials, which presented high sensitivity and reusability. This study therefore points out that biosynthesized nanomaterials can be used as eco-friendly and effective coating materials in sensor development.

Authors

Institutions

Publication Details

Published
2025-04-05
DOI
https://doi.org/10.1109/devic63749.2025.11012209
Citations
1
Primary Topic
Medicinal Plants and Neuroprotection
Type
article
Field-Weighted Citation Impact
2.38
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigation of QCM Sensor coated with Biosynthesized Nanomaterial to detect major volatile in Indian Cumin

Anindya Ghosh, Prolay Sharma, Subhojit Malik, Ujjal Kumar Sur et al.
1 citations
Medicinal Plants and Neuroprotection
2.38
article

Investigation of QCM Sensor coated with Biosynthesized Nanomaterial to detect major volatile in Indian Cumin

Anindya Ghosh, Prolay Sharma, Subhojit Malik, Ujjal Kumar Sur, Amrik Basak
article en
1 citations

Abstract

A highly sensitive and selective Quartz Crystal Microbalance (QCM) gas sensor has been developed to detect volatile present in Indian cumin. Fresh rose petals, R. damascena, have been utilized to generate a natural bio-coating material. The pink-colored extract was prepared after cleaning and boiling the petal pieces in Milli-Q water followed by filtration. This extract was used to synthesize gold nanoparticles by mixing it with HAuCl4 solution, resulting in a color change from light yellow to deep pink, indicating nanoparticle formation. The nanoparticles were separated through centrifugation and deposited onto the QCM surface. The sensor fabrication process involved 15 coating cycles, achieving maximum mass deposition, with the initial frequency of 9994862 Hz decreasing by 4352 Hz. Chronogram analysis revealed the mass and frequency variation during the process. The sensors were tested with the volatile compounds in Indian cumin, identified by GC-MS analysis and the sensor is responsive in detecting α-Pinene present in Indian cumin. The biosynthesized sensor had a sensitivity value of 0.1987 Hz/mgL⁻¹ with a high correlation factor (R2 = 0.9917). The results show that the sensor was successfully fabricated by using naturally derived nanomaterials, which presented high sensitivity and reusability. This study therefore points out that biosynthesized nanomaterials can be used as eco-friendly and effective coating materials in sensor development.

University of Calcutta (IN), Jadavpur University (IN)
Openalex Percentile: Top 13%
Medicinal Plants and Neuroprotection
2.38
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.

Investigation of QCM Sensor coated with Biosynthesized Nanomaterial to detect major volatile in Indian Cumin — Anindya Ghosh, Prolay Sharma, et al. · (2025) | TGRS Research Map | TGRS