Rapid Recognition of Geoherbalism and Authenticity of a Chinese Herb by Data Fusion of Near-Infrared Spectroscopy (NIR) and Mid-Infrared (MIR) Spectroscopy Combined with Chemometrics

Fu, Haiyan; Shi, Qiong; Wei, Liuna; Xu, Lu; Guo, Xiaoming; Hu, Ou; Lan, Wei; Xie, Shunping; Yang, Tao

doi:10.1155/2019/2467185

Cited by 10 publications

(6 citation statements)

References 35 publications

(34 reference statements)

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“…From then on, scholars tried to achieve origins discrimination based on IR and Raman. Studies about the origin discrimination of herbs, like Salviae miltiorrhizae radix et rhizoma , Paridis rhizoma , and Notoginseng , have been carried out combined with various pattern recognition methods, including classic algorithms and innovative algorithms ( Woo et al., 2005 ; Li and Qu, 2014 ; Liu et al., 2015 ; Han et al., 2016 ; Hui et al., 2018 ; Lai et al., 2018 ; Yang et al., 2018 ; Zhu et al., 2018 ; Fu et al., 2019 ; Yang et al., 2019 ). Detailed information containing techniques and data processing is listed in Table 3 , and the qualitative analyses of herbal raw materials are summarized.…”

Section: Quality and Safety Inspection Of Herbal Raw Materialsmentioning

confidence: 99%

“…Usually, we at least employed the mid-level fusion method to obtain satisfactory results. Data from different spectrometers, such as NIR and MIR ( Fu et al., 2019 ; Pei et al., 2019 ; Zhou et al., 2020 ), FTIR and UV-vis ( Wang et al., 2020 ), MIR and Raman ( Wong et al., 2015 ; Wang et al., 2020 ), or various experiment materials collected from the same plants, such as with and without tunic ( Biancolillo et al., 2020 ) and different botanical parts with its classifiers processing model ( Liu et al., 2020 ) were merged to prove the feasibility of data fusion. Meanwhile, Both IR and Raman spectroscopy can be combined with imaging technology to obtain pixel-level image features.…”

Section: Introduction Of Data Processing In Digital Detectionmentioning

confidence: 99%

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Trends in digital detection for the quality and safety of herbs using infrared and Raman spectroscopy

et al. 2023

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Herbs have been used as natural remedies for disease treatment, prevention, and health care. Some herbs with functional properties are also used as food or food additives for culinary purposes. The quality and safety inspection of herbs are influenced by various factors, which need to be assessed in each operation across the whole process of herb production. Traditional analysis methods are time-consuming and laborious, without quick response, which limits industry development and digital detection. Considering the efficiency and accuracy, faster, cheaper, and more environment-friendly techniques are highly needed to complement or replace the conventional chemical analysis methods. Infrared (IR) and Raman spectroscopy techniques have been applied to the quality control and safety inspection of herbs during the last several decades. In this paper, we generalize the current application using IR and Raman spectroscopy techniques across the whole process, from raw materials to patent herbal products. The challenges and remarks were proposed in the end, which serve as references for improving herb detection based on IR and Raman spectroscopy techniques. Meanwhile, make a path to driving intelligence and automation of herb products factories.

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Section: Quality and Safety Inspection Of Herbal Raw Materialsmentioning

confidence: 99%

Section: Introduction Of Data Processing In Digital Detectionmentioning

confidence: 99%

Trends in digital detection for the quality and safety of herbs using infrared and Raman spectroscopy

et al. 2023

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“…Some articles, according to the type of product, are referenced below. In the category of 'plant-crops and herbs': potato [14], vegetables: lettuce, pepper, tomato [15], onions [16], rice, flour and cereals [17], oranges [18], herbs [19][20][21]. In the category of 'oils': olive oil [22][23][24].…”

Section: Published Research For Geographical Origin Authentication Frmentioning

confidence: 99%

“…Apart from IRMS and ICP-MS, there were other publications that suggest that IR and chemometrics can be used for the detection of the origin of agri-food products [20,21,[40][41][42][43][44][45][46].…”

Section: Published Research For Geographical Origin Authentication Frmentioning

confidence: 99%

Geographical Origin Authentication of Agri-Food Products: A Review

Katerinopoulou

Kontogeorgos

Salmas

et al. 2020

Foods

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This study is a systematic literature review of geographical origin authentication by elemental analytical techniques. Authentication and certification of geographic origin of agri-food products is a useful tool toward the protection of the quality for products. The aim of this work was to map the current state of research in the area of agricultural products and food, identifying emerging fields to the geographical origin of products. The article is divided in three parts. The first part of the article deals with the analytical techniques applied in the food authentication. Special mention is made to elemental analysis and multiple isotope ratio. The second section focuses on statistically published data concerning published research for geographical origin authentication for the period 2015–2019. Specific results are presented inter alia: number of articles according to the type of product, articles according to the type of the analytical techniques, and others. The third part contains characteristic results from articles that were published in the period 2015–2019, on certification of geographical origin on specific agricultural products.

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“…The combination of LIBS and NIR could provide complementary information on unknown species, involving not only the elemental compositions but also the molecular components. Nowadays, the two techniques have been prevailing analytical tools for quality control of TCM with the rapid development of powerful computers and data analysis tools [ 24 , 25 , 26 ]. In addition, the potential applications of LIBS coupled with NIR on analyses of food and vegetable achieve considerable success [ 18 , 27 ].…”

Section: Introductionmentioning

confidence: 99%

A Synergetic Strategy for Brand Characterization of Colla Corii Asini (Ejiao) by LIBS and NIR Combined with Partial Least Squares Discriminant Analysis

Xia

Che²,

et al. 2023

Molecules

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A synergetic strategy was proposed to address the critical issue in the brand characterization of Colla corii asini (Ejiao, CCA), a precious traditional Chinese medicine (TCM). In all brands of CCA, Dong’e Ejiao (DEEJ) is an intangible cultural heritage resource. Seventy-eight CCA samples (including forty DEEJ samples and thirty-eight samples from other different manufacturers) were detected by laser-induced breakdown spectroscopy (LIBS) and near-infrared spectroscopy (NIR). Partial least squares discriminant analysis (PLS-DA) models were built first considering individual techniques separately, and then fusing LIBS and NIR data at low-level. The statistical parameters including classification accuracy, sensitivity, and specificity were calculated to evaluate the PLS-DA model performance. The results demonstrated that two individual techniques show good classification performance, especially the NIR. The PLS-DA model with single NIR spectra pretreated by the multiplicative scatter correction (MSC) method was preferred as excellent discrimination. Though individual spectroscopic data obtained good classification performance. A data fusion strategy was also attempted to merge atomic and molecular information of CCA. Compared to a single data block, data fusion models with SNV and MSC pretreatment exhibited good predictive power with no misclassification. This study may provide a novel perspective to employ a comprehensive analytical approach to brand discrimination of CCA. The synergetic strategy based on LIBS together with NIR offers atomic and molecular information of CCA, which could be exemplary for future research on the rapid discrimination of TCM.

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Rapid Recognition of Geoherbalism and Authenticity of a Chinese Herb by Data Fusion of Near-Infrared Spectroscopy (NIR) and Mid-Infrared (MIR) Spectroscopy Combined with Chemometrics

Cited by 10 publications

References 35 publications

Trends in digital detection for the quality and safety of herbs using infrared and Raman spectroscopy

Trends in digital detection for the quality and safety of herbs using infrared and Raman spectroscopy

Geographical Origin Authentication of Agri-Food Products: A Review

A Synergetic Strategy for Brand Characterization of Colla Corii Asini (Ejiao) by LIBS and NIR Combined with Partial Least Squares Discriminant Analysis

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