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A smart spectral and thermal analysis strategy-based three-dimensional quantum profiling: application to quality evaluation of Catalpa fruit pericarp

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Abstract

Catalpa fruit is a traditional Chinese medicine (TCM) for diuresis and detumescence. Catalpa fruit pericarp (CFP) is often neglected due to the cracking after drying. In order to further investigate the value of CFP, this study proposed to develop a spectral and thermal analysis strategy to evaluate the quality of CFP for the first time. The Fourier transform infrared (FTIR), ultraviolet (UV) and differential scanning calorimetry (DSC) original fingerprints (OFPs) of 15 batches of CFP samples were established, and then, they were transformed into continuous peaks to obtain quantum fingerprints (QFPs), respectively. The correlation of Pm between the OFPs and QFPs was good (Pearson’s r > 0.9998), which could be inferred that QFPs had a promising application potential in quantitative analysis of TCM. Furthermore, based on the systematically quantified fingerprint method, the above three kinds of QFPs were fused in equal masses to prevent the error caused by a single technology. It was worth noting that different fingerprint techniques yielded varied evaluation results for CFP samples, and the fusion results showed that samples quality was within grade 5. This study developed a smart, applicable and efficient exploration mode for the quality evaluation of TCM and its related products.

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Abbreviations

TCM:

Traditional Chinese medicine

FIA:

Flowing injection analysis method

OFPs:

Original fingerprints

QFPs:

Quantum fingerprints

CFP:

Catalpa fruit pericarp

SQFM:

Systematically quantified fingerprint method

SFP:

Sample fingerprint

RFP:

Reference fingerprint

RSD:

Relative standard deviation

HCA:

Hierarchical cluster analysis

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Acknowledgements

Thanks to Ying Pang for her generous help in software.

Funding

This research was supported by the National Natural Science Foundation of China (No. 81573586).

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Author notes

  1. Wanzhen Xiao and Lili Lan have contributed equally to this work.

Authors and Affiliations

  1. School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, 110016, Liaoning, China

    Wanzhen Xiao, Lili Lan, Miao Liu, Qian Chang, Ping Guo & Guoxiang Sun

Authors
  1. Wanzhen Xiao
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  2. Lili Lan
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  3. Miao Liu
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  4. Qian Chang
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  5. Ping Guo
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  6. Guoxiang Sun
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Contributions

WX helped in data curation, formal analysis, methodology, validation, visualization, writing—original draft, writing—review and editing and software. LL worked in methodology, investigation, formal analysis and writing—review and editing. ML helped in data curation, formal analysis and software. QC contributed to investigation, visualization and software. PG helped in writing—review and editing. GS worked in conceptualization, software, funding acquisition, resources and supervision.

Corresponding authors

Correspondence to Ping Guo or Guoxiang Sun.

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Xiao, W., Lan, L., Liu, M. et al. A smart spectral and thermal analysis strategy-based three-dimensional quantum profiling: application to quality evaluation of Catalpa fruit pericarp. J Therm Anal Calorim 148, 4235–4246 (2023). https://doi.org/10.1007/s10973-023-12053-z

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