Rapid fingerprint analysis for herbal polysaccharides using direct analysis in real‐time ionization mass spectrometry

Wang, Xing; Jiang, Qing; Liu, Hongli; Chen, David D. Y.

doi:10.1002/rcm.9139

Cited by 12 publications

(5 citation statements)

References 37 publications

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“…Ambient MS in which analytes are ionized at ambient pressure is often employed ( Xin et al, 2014 ; Massaro et al, 2021 ; Pereira et al, 2021 ), although inductively coupled plasma (ICP) MS for multi-element fingerprinting ( Zhao et al, 2017 ) and matrix-assisted laser desorption/ionization (MALDI) MS ( Lai et al, 2012 ) have also been reported. Ambient ionization techniques applicable to herbal materials and products include desorption electrospray ionization (DESI) ( Talaty et al, 2005 ; Freitas et al, 2019 ), ESI on solid substrates ( Deng and Yang, 2013 ; Hu et al, 2014 ; Wang H. et al, 2014 ; Xin et al, 2014 ; Jun et al, 2016 ), tissue ESI and related techniques ( Chan et al, 2011 ; Liu et al, 2011 ; Hu et al, 2013 ), extractive ESI ( Lee et al, 2021 ; Zhang et al, 2022 ), direct analysis in real-time (DART) ( Kumar et al, 2015 ; Wang et al, 2021a ), and desorption atmospheric pressure chemical ionization (DAPCI) ( Pi et al, 2011 ).…”

Section: Applications Of Fingerprinting Methodsmentioning

confidence: 99%

“…In DESI, the sample surface is exposed to an electrospray plume, while an ionizing noble gas stream (i.e., metastable He) is used in DART ( Gross, 2006 ). Using DART, botanical samples can be directly analyzed without any sample preparation ( Kumar et al, 2015 ; Wang et al, 2021a ). Ionizing gas is also used in DAPCI to desorb/ionize analytes from the plant samples ( Pi et al, 2011 ).…”

Section: Applications Of Fingerprinting Methodsmentioning

confidence: 99%

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Advances in Fingerprint Analysis for Standardization and Quality Control of Herbal Medicines

2022

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Herbal drugs or herbal medicines (HMs) have a long-standing history as natural remedies for preventing and curing diseases. HMs have garnered greater interest during the past decades due to their broad, synergistic actions on the physiological systems and relatively lower incidence of adverse events, compared to synthetic drugs. However, assuring reproducible quality, efficacy, and safety from herbal drugs remains a challenging task. HMs typically consist of many constituents whose presence and quantity may vary among different sources of materials. Fingerprint analysis has emerged as a very useful technique to assess the quality of herbal drug materials and formulations for establishing standardized herbal products. Rather than using a single or two marker(s), fingerprinting techniques take great consideration of the complexity of herbal drugs by evaluating the whole chemical profile and extracting a common pattern to be set as a criterion for assessing the individual material or formulation. In this review, we described and assessed various fingerprinting techniques reported to date, which are applicable to the standardization and quality control of HMs. We also evaluated the application of multivariate data analysis or chemometrics in assisting the analysis of the complex datasets from the determination of HMs. To ensure that these methods yield reliable results, we reviewed the validation status of the methods and provided perspectives on those. Finally, we concluded by highlighting major accomplishments and presenting a gap analysis between the existing techniques and what is needed to continue moving forward.

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Section: Applications Of Fingerprinting Methodsmentioning

confidence: 99%

Section: Applications Of Fingerprinting Methodsmentioning

confidence: 99%

Advances in Fingerprint Analysis for Standardization and Quality Control of Herbal Medicines

2022

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“…Whereas an important focus of AIMS in food and agriculture is from a safety and authentication perspective, ambient MS techniques also have their use in detecting potentially healthy and harmful natural products in food and plants, evaluating flavour compounds in food products, and studying the metabolomics of agricultural products and plants. PSI has been used to quantify flavonoids in citrus beverages 94 and analyse plants containing pharmacologically active ingredients, 95 whereas DART‐MS has been widely applied for the analysis of active ingredients in herbal supplements and plants 96–101 . These two techniques have also been utilized in the evaluation of sour compounds in tea and wine, 102 to measure artificial sweeteners in alcoholic beverages 103 and for the study of post‐harvest quality of vegetables 104 .…”

Section: Applications Of Ambient Ionization Mass Spectrometrymentioning

confidence: 99%

“…PSI has been used to quantify flavonoids in citrus beverages 94 and analyse plants containing pharmacologically active ingredients, 95 whereas DART‐MS has been widely applied for the analysis of active ingredients in herbal supplements and plants. 96 , 97 , 98 , 99 , 100 , 101 These two techniques have also been utilized in the evaluation of sour compounds in tea and wine, 102 to measure artificial sweeteners in alcoholic beverages 103 and for the study of post‐harvest quality of vegetables. 104 REIMS has also been applied to the study of omega‐7 phospholipids in marine consumer products.…”

Section: Applications Of Ambient Ionization Mass Spectrometrymentioning

confidence: 99%

Applications of ambient ionization mass spectrometry in 2021: An annual review

Rankin‐Turner

Reynolds

Turner

et al. 2022

Analytical Science Advances

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Ambient ionization mass spectrometry (AIMS) has revolutionized the field of analytical chemistry, enabling the rapid, direct analysis of samples in their native state. Since the inception of AIMS almost 20 years ago, the analytical community has driven the further development of this suite of techniques, motivated by the plentiful advantages offered in addition to traditional mass spectrometry. Workflows can be simplified through the elimination of sample preparation, analysis times can be significantly reduced and analysis remote from the traditional laboratory space has become a real possibility. As such, the interest in AIMS has rapidly spread through analytical communities worldwide, and AIMS techniques are increasingly being integrated with standard laboratory operations. This annual review covers applications of AIMS techniques throughout 2021, with a specific focus on AIMS applications in a number of key fields of research including disease diagnostics, forensics and security, food safety testing and environmental sciences. While some new techniques are introduced, the focus in AIMS research is increasingly shifting from the development of novel techniques toward efforts to improve existing AIMS techniques, particularly in terms of reproducibility, quantification and ease-of-use.

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“…Typically, biological techniques and chemical methods, such as mass spectrometry, gas chromatography, etc., can be used for adulteration detection [11][12][13]. However, these analyses require highly trained professionals, and also it is time-consuming.…”

Section: Introductionmentioning

confidence: 99%

Rapid identification of medicinal plants via visual feature-based deep learning

Tan,

Tian,

et al. 2024

Plant Methods

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Background Traditional Chinese Medicinal Plants (CMPs) hold a significant and core status for the healthcare system and cultural heritage in China. It has been practiced and refined with a history of exceeding thousands of years for health-protective affection and clinical treatment in China. It plays an indispensable role in the traditional health landscape and modern medical care. It is important to accurately identify CMPs for avoiding the affected clinical safety and medication efficacy by the different processed conditions and cultivation environment confusion. Results In this study, we utilize a self-developed device to obtain high-resolution data. Furthermore, we constructed a visual multi-varieties CMPs image dataset. Firstly, a random local data enhancement preprocessing method is proposed to enrich the feature representation for imbalanced data by random cropping and random shadowing. Then, a novel hybrid supervised pre-training network is proposed to expand the integration of global features within Masked Autoencoders (MAE) by incorporating a parallel classification branch. It can effectively enhance the feature capture capabilities by integrating global features and local details. Besides, the newly designed losses are proposed to strengthen the training efficiency and improve the learning capacity, based on reconstruction loss and classification loss. Conclusions Extensive experiments are performed on our dataset as well as the public dataset. Experimental results demonstrate that our method achieves the best performance among the state-of-the-art methods, highlighting the advantages of efficient implementation of plant technology and having good prospects for real-world applications.

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Rapid fingerprint analysis for herbal polysaccharides using direct analysis in real‐time ionization mass spectrometry

Cited by 12 publications

References 37 publications

Advances in Fingerprint Analysis for Standardization and Quality Control of Herbal Medicines

Advances in Fingerprint Analysis for Standardization and Quality Control of Herbal Medicines

Applications of ambient ionization mass spectrometry in 2021: An annual review

Rapid identification of medicinal plants via visual feature-based deep learning

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