Rapid and Green Methods for Qualitative Classification of Polygonati Rhizoma and Polygonati Odorati Rhizoma Using a Handheld near Infrared Instrument

The confusing use of Polygonati Rhizoma (PR) and Polygonati Odorati Rhizoma (POR) poses an unpredictable threat to the health of consumers. Sensitive, nondestructive, rapid, and multicomponent techniques for their detection are sought after. In this study, a low-cost, short-wavelength (898–1668 nm),...

Full description

Bibliographic Details
Main Authors: Fang Wang, Tingting Hou, Shulan Luo, Chunye Geng, Cunwu Chen, Dong Liu, Bangxing Han, Leilei Gao
Format: Article
Language:English
Published: Hindawi Limited 2023-01-01
Series:Journal of Chemistry
Online Access:http://dx.doi.org/10.1155/2023/4888557
_version_ 1797852966756024320
author Fang Wang
Tingting Hou
Shulan Luo
Chunye Geng
Cunwu Chen
Dong Liu
Bangxing Han
Leilei Gao
author_facet Fang Wang
Tingting Hou
Shulan Luo
Chunye Geng
Cunwu Chen
Dong Liu
Bangxing Han
Leilei Gao
author_sort Fang Wang
collection DOAJ
description The confusing use of Polygonati Rhizoma (PR) and Polygonati Odorati Rhizoma (POR) poses an unpredictable threat to the health of consumers. Sensitive, nondestructive, rapid, and multicomponent techniques for their detection are sought after. In this study, a low-cost, short-wavelength (898–1668 nm), and handheld near-infrared (NIR) spectrometer combined with multivariate spectral evaluation methods was used to establish calibration models for identifying PR and POR. NIR spectra were treated with a standard normal variate (SNV) before performing chemometric approaches. Then principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) were tested for calibration model development. The PCA results showed that spectral differences existed between the two herbs. However, the evaluation techniques could not separate them with the required accuracy. The PLS-DA calibration model, on the other hand, could separate the two herbs according to their spectral information with the prediction accuracy of >98.3%. Thus, it has been proven that a rapid, green, and low-cost method to support on-site and practical inspection through a handheld NIR instrument has been established to identify PR and POR and ensure the safety of the clinical medication.
first_indexed 2024-04-09T19:42:57Z
format Article
id doaj.art-274a6c29d8044caaa0bf33a8abc5158a
institution Directory Open Access Journal
issn 2090-9071
language English
last_indexed 2024-04-09T19:42:57Z
publishDate 2023-01-01
publisher Hindawi Limited
record_format Article
series Journal of Chemistry
spelling doaj.art-274a6c29d8044caaa0bf33a8abc5158a2023-04-04T00:00:18ZengHindawi LimitedJournal of Chemistry2090-90712023-01-01202310.1155/2023/4888557Rapid and Green Methods for Qualitative Classification of Polygonati Rhizoma and Polygonati Odorati Rhizoma Using a Handheld near Infrared InstrumentFang Wang0Tingting Hou1Shulan Luo2Chunye Geng3Cunwu Chen4Dong Liu5Bangxing Han6Leilei Gao7College of Biological and Pharmaceutical EngineeringCollege of Biological and Pharmaceutical EngineeringCollege of Biological and Pharmaceutical EngineeringCollege of Biological and Pharmaceutical EngineeringCollege of Biological and Pharmaceutical EngineeringCollege of Biological and Pharmaceutical EngineeringCollege of Biological and Pharmaceutical EngineeringCollege of Biological and Pharmaceutical EngineeringThe confusing use of Polygonati Rhizoma (PR) and Polygonati Odorati Rhizoma (POR) poses an unpredictable threat to the health of consumers. Sensitive, nondestructive, rapid, and multicomponent techniques for their detection are sought after. In this study, a low-cost, short-wavelength (898–1668 nm), and handheld near-infrared (NIR) spectrometer combined with multivariate spectral evaluation methods was used to establish calibration models for identifying PR and POR. NIR spectra were treated with a standard normal variate (SNV) before performing chemometric approaches. Then principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) were tested for calibration model development. The PCA results showed that spectral differences existed between the two herbs. However, the evaluation techniques could not separate them with the required accuracy. The PLS-DA calibration model, on the other hand, could separate the two herbs according to their spectral information with the prediction accuracy of >98.3%. Thus, it has been proven that a rapid, green, and low-cost method to support on-site and practical inspection through a handheld NIR instrument has been established to identify PR and POR and ensure the safety of the clinical medication.http://dx.doi.org/10.1155/2023/4888557
spellingShingle Fang Wang
Tingting Hou
Shulan Luo
Chunye Geng
Cunwu Chen
Dong Liu
Bangxing Han
Leilei Gao
Rapid and Green Methods for Qualitative Classification of Polygonati Rhizoma and Polygonati Odorati Rhizoma Using a Handheld near Infrared Instrument
Journal of Chemistry
title Rapid and Green Methods for Qualitative Classification of Polygonati Rhizoma and Polygonati Odorati Rhizoma Using a Handheld near Infrared Instrument
title_full Rapid and Green Methods for Qualitative Classification of Polygonati Rhizoma and Polygonati Odorati Rhizoma Using a Handheld near Infrared Instrument
title_fullStr Rapid and Green Methods for Qualitative Classification of Polygonati Rhizoma and Polygonati Odorati Rhizoma Using a Handheld near Infrared Instrument
title_full_unstemmed Rapid and Green Methods for Qualitative Classification of Polygonati Rhizoma and Polygonati Odorati Rhizoma Using a Handheld near Infrared Instrument
title_short Rapid and Green Methods for Qualitative Classification of Polygonati Rhizoma and Polygonati Odorati Rhizoma Using a Handheld near Infrared Instrument
title_sort rapid and green methods for qualitative classification of polygonati rhizoma and polygonati odorati rhizoma using a handheld near infrared instrument
url http://dx.doi.org/10.1155/2023/4888557
work_keys_str_mv AT fangwang rapidandgreenmethodsforqualitativeclassificationofpolygonatirhizomaandpolygonatiodoratirhizomausingahandheldnearinfraredinstrument
AT tingtinghou rapidandgreenmethodsforqualitativeclassificationofpolygonatirhizomaandpolygonatiodoratirhizomausingahandheldnearinfraredinstrument
AT shulanluo rapidandgreenmethodsforqualitativeclassificationofpolygonatirhizomaandpolygonatiodoratirhizomausingahandheldnearinfraredinstrument
AT chunyegeng rapidandgreenmethodsforqualitativeclassificationofpolygonatirhizomaandpolygonatiodoratirhizomausingahandheldnearinfraredinstrument
AT cunwuchen rapidandgreenmethodsforqualitativeclassificationofpolygonatirhizomaandpolygonatiodoratirhizomausingahandheldnearinfraredinstrument
AT dongliu rapidandgreenmethodsforqualitativeclassificationofpolygonatirhizomaandpolygonatiodoratirhizomausingahandheldnearinfraredinstrument
AT bangxinghan rapidandgreenmethodsforqualitativeclassificationofpolygonatirhizomaandpolygonatiodoratirhizomausingahandheldnearinfraredinstrument
AT leileigao rapidandgreenmethodsforqualitativeclassificationofpolygonatirhizomaandpolygonatiodoratirhizomausingahandheldnearinfraredinstrument