A Comparative Analysis of Raw and Bran-Fried Acori tatarinowii Rhizoma Based on the Intelligent Sensory Evaluation System

<b>Objectives:</b> The study aimed to investigate the differences in odor, color, and taste characteristics between raw and bran-fried <i>Acori tatarinowii Rhizoma</i> (RATR and BATR) using advanced sensory evaluation technologies. The objective was to establish a reliable differential analysis method for distinguishing RATR and BATR slices to support quality control in herbal processing. <b>Methods:</b> The Heracles NEO ultra-fast gas-phase electronic nose was employed to analyze odor profiles, while electronic eye and electronic tongue technologies were used to assess color and taste differences, respectively. Odor fingerprint analysis identified key volatile components, and colorimetric and taste measurements were conducted to compare RATR and BATR samples. <b>Results:</b> Fifteen characteristic odor components were identified, with methanol, 2-propanol, and 2-cyclopentenone potentially serving as discriminant markers differentiating RATR and BATR. PCA demonstrated exceptional separation efficacy, with a cumulative contribution rate of 99.937% for the primary components. <b>Conclusions:</b> The integration of Heracles NEO electronic nose, electronic eye, and electronic tongue technologies effectively distinguished RATR from BATR. This approach provides a novel strategy for online quality monitoring in herbal slice production and offers a robust analytical framework for the identification and quality assessment of processed herbal medicines.

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Publication Details

Journal
Metabolites
Published
2025-05-20
DOI
https://doi.org/10.3390/metabo15050338
Primary Topic
Advanced Chemical Sensor Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

A Comparative Analysis of Raw and Bran-Fried Acori tatarinowii Rhizoma Based on the Intelligent Sensory Evaluation System

Lingyun Zhong, Zhong‐Jian Yang, Sihui Ma, Ruiping Wang et al.
Metabolites
Advanced Chemical Sensor Technologies
article

A Comparative Analysis of Raw and Bran-Fried Acori tatarinowii Rhizoma Based on the Intelligent Sensory Evaluation System

Lingyun Zhong, Zhong‐Jian Yang, Sihui Ma, Ruiping Wang, Jinlian Zhang, Yang Cui, K. Shi, Yingna Le, Li Xin
article en

Abstract

<b>Objectives:</b> The study aimed to investigate the differences in odor, color, and taste characteristics between raw and bran-fried <i>Acori tatarinowii Rhizoma</i> (RATR and BATR) using advanced sensory evaluation technologies. The objective was to establish a reliable differential analysis method for distinguishing RATR and BATR slices to support quality control in herbal processing. <b>Methods:</b> The Heracles NEO ultra-fast gas-phase electronic nose was employed to analyze odor profiles, while electronic eye and electronic tongue technologies were used to assess color and taste differences, respectively. Odor fingerprint analysis identified key volatile components, and colorimetric and taste measurements were conducted to compare RATR and BATR samples. <b>Results:</b> Fifteen characteristic odor components were identified, with methanol, 2-propanol, and 2-cyclopentenone potentially serving as discriminant markers differentiating RATR and BATR. PCA demonstrated exceptional separation efficacy, with a cumulative contribution rate of 99.937% for the primary components. <b>Conclusions:</b> The integration of Heracles NEO electronic nose, electronic eye, and electronic tongue technologies effectively distinguished RATR from BATR. This approach provides a novel strategy for online quality monitoring in herbal slice production and offers a robust analytical framework for the identification and quality assessment of processed herbal medicines.

MetabolitesVol. 15(5)
Jiangxi University of Traditional Chinese Medicine (CN), Lianyungang Runzhong Pharmaceutical (China) (CN)
State Administration of Traditional Chinese Medicine of the People's Republic of China, Education Department of Jiangxi Province
Reduced inequalities
Openalex Percentile: Top 90%
Advanced Chemical Sensor Technologies
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