Rapid qualitative identification and quantitative analysis of Flos Mume based on Fourier transform near infrared spectroscopy

Yan, Hui; Pu, Zong-Jin; Wang, Yingjun; Guo, Sheng; Li, Simeng; Zhang, Zhenyu; Zhou, Guisheng; Zhan, Zhenlin; Duan, Jin‐Ao

doi:10.1016/j.saa.2020.119344

Cited by 11 publications

(3 citation statements)

References 35 publications

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“…The other components were excluded due to low concentrations. Through this study, a distinction among the various types of Flos Mume could be made, based on the CGA content, which shows that CGA has the potential to become a key indicator for use in quality evaluation [ 45 ].…”

Section: Analytical Methods Used In Determining Cgamentioning

confidence: 99%

A Review on Electrochemical Sensors and Biosensors Used in Chlorogenic Acid Electroanalysis

Munteanu

Apetrei

2021

IJMS

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Chlorogenic acid (5-O-caffeoylquinic acid) is a phenolic compound from the hydroxycinnamic acid family. Epidemiological, biological, and biochemical studies concur to support the beneficial role of chlorogenic acid in human health, along with other dietary phenolic compounds. Thus, chlorogenic acid has been reported to exert inhibitory effects on carcinogenesis in the large intestine, liver, and tongue, and a protective action on oxidative stress in vivo, together with anti-inflammatory, antidiabetic and antihypertensive activities. It is also claimed to have antifungal, antibacterial and antiviral effects with relatively low toxicity and side effects, alongside properties that do not lead to antimicrobial resistance. Due to its importance, numerous methods for determining chlorogenic acid (CGA), as well as for its derivatives from coffee beans and other plants, were elaborated. The most frequently used methods are infrared spectroscopy, high performance liquid chromatography (HPLC), capillary electrophoresis, liquid chromatography-mass spectrometry and chemiluminescence. Although these methods proved to be efficient for quantifying CGA and its derived products, a number of deficiencies were identified: they are time consuming, laborious, and require expensive instruments. Therefore, electrochemical methods have been developed and used in the determination of CGA in different nutraceuticals or food products. The present review aims to present the main progresses and performance characteristics of electrochemical sensors and biosensors used to detect CGA, as it is reported in a high number of relevant scientific papers published mainly in the last decade.

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Section: Analytical Methods Used In Determining Cgamentioning

confidence: 99%

A Review on Electrochemical Sensors and Biosensors Used in Chlorogenic Acid Electroanalysis

Munteanu

Apetrei

2021

IJMS

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“…These studies also further explain the factors that affect the content of the detection indexes. But sometimes NIRS-PLS caused over-fitting and low precision using full-wavelength spectra ( Yang et al., 2003 ; Yan et al., 2020 ). The possible reasons could be (1) a limited number of samples.…”

Section: Quality and Safety Inspection Of Herbal Raw Materialsmentioning

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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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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“…It can explore the relationship between independent and dependent variables based on dimensionality reduction techniques [26]. PLSR has been shown its excellent predictive and inference capabilities for NIR spectral modeling [27]. In this work, PLSR was adopted to establish the quantitative calibration model for NIR spectroscopy under the wavelengths ranging from 10000 cm −1 to 4000 cm −1 .…”

Section: Quantitative Calibration Model Partial Least Squares Regress...mentioning

confidence: 99%

Determination of Multicomponents in Rubi Fructus by Near-Infrared Spectroscopy Technique

Du,

Wu,

et al. 2023

International Journal of Analytical Chemistry

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Objective. Rubi Fructus (RF) is a dry aggregate fruit of Rubus (Rosaceae). It has shown significant pharmacological effects such as anti-oxidation, hypoglycemic, and anti-inflammatory. A combination of near-infrared (NIR) spectroscopy and partial least squares regression (PLSR) under seven different spectral data preprocessing techniques was used to determine the performance of quantitative analysis correction models which employed moisure, ellagic acid, and total flavonoids as indicators of RF. Methods. Ninety-seven different RF batches were collected for NIR spectra. By using primary analysis techniques such as drying method, high-performance liquid chromatography (HPLC), and ultraviolet visible spectrophotometry (UV-Vis), the contents of moisure, ellagic acid, and total flavonoids were determined. The NIR spectral data and the primary analysis method data were correlated through PLSR. Seven methods were used for pretreating the spectral data, including no spectral pretreatment, first derivative, standard normalized variate, multiple scattering corrections, elimination of constant offset, and minimum maximum normalization. The quantitative analysis correction models adopted PLSR chemometrics for moisture, ellagic acid and total flavonoids were developed, and their effectiveness was evaluated using the correlation coefficient (R), ratio of prediction to deviation (RPD), and root mean square error (RMSE). Results. The first derivative was combined with variable standardization, elimination of constant offset, and multiple scattering corrections, respectively, to pretreat the PLSR models for moisture, ellagic acid, and total flavonoids. The R-values of the PLSR models for moisture, ellagic acid, and total flavonoids were, respectively, 0.9788, 0.9468, and 0.9748, all of which were higher than 0.90, and the RPD values were 4.9, 3.1, and 4.5, respectively, which were all larger than 3.0. The RMSE ratios of the calibration set and the test set were 0.98, 0.94, and 1.0, respectively. Conclusion. The R-values of the NIR-PLSR models for moisture, ellagic acid, and total flavonoids are all greater than 0.90 after suitable pretreatments, indicating that the models are reliable. The RPD values are more than 3.0, which indicate that the models are good and useable for quality control. The RMSE ratios are closed to 1, indicating that the calibration set and test set had same distribution and the models were not overfitting indicating good predictability.

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Rapid qualitative identification and quantitative analysis of Flos Mume based on Fourier transform near infrared spectroscopy

Cited by 11 publications

References 35 publications

A Review on Electrochemical Sensors and Biosensors Used in Chlorogenic Acid Electroanalysis

A Review on Electrochemical Sensors and Biosensors Used in Chlorogenic Acid Electroanalysis

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

Determination of Multicomponents in Rubi Fructus by Near-Infrared Spectroscopy Technique

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