Novelty application of multi-omics correlation in the discrimination of sulfur-fumigation and non-sulfur-fumigation Ophiopogonis Radix

Characterization and Discrimination of Ophiopogonis Radix with Different Levels of Sulfur Fumigation Based on UPLC-QTOF-MS Combined Molecular Networking with Multivariate Statistical Analysis

Ophiopogonis Radix, also known as "Maidong" (MD) in China, is frequently sulfur-fumigated (SF) in the pretreatment process of MD to improve the appearance and facilitate preservation. However, the process leads to changes in chemical composition, so it is essential to develop an approach to identify the chemical characteristics between nonfumigated and sulfur-fumigated products. This paper provided a practical method based on UPLC-QTOF-MS combined Global Natural Products Social Molecular Networking (GNPS) with multivariate statistical analysis for the characterization and discrimination of MD with different levels of sulfur fumigation, high concentration sulfur fumigation (HS), low concentration sulfur fumigation (LS) and without sulfur fumigation (WS). First, a number of 98 compounds were identified in those MD samples. Additionally, the results of Principal component analysis (PCA) and Orthogonal partial least-squares-discriminant analysis (OPLS-DA) demonstrated that there were significant chemical differences in the chemical composition of MD with different degrees of SF. Finally, fourteen and sixteen chemical markers were identified upon the comparison between HS and WS, LS and WS, respectively. Overall, these results can be able to discriminate MD with different levels of SF as well as establish a solid foundation for further quality control and pharmacological research.

Application of Laser-Induced Breakdown Spectroscopy and Chemometrics for the Quality Evaluation of Foods with Medicinal Properties: A Review

Laser-induced Breakdown Spectroscopy (LIBS) is becoming an increasingly popular analytical technique for characterizing and identifying various products; its multi-element analysis, fast response, remote sensing, and sample preparation is minimal or nonexistent, and low running costs can significantly accelerate the analysis of foods with medicinal properties (FMPs). A comprehensive overview of recent advances in LIBS is presented, along with its future trends, viewpoints, and challenges. Besides reviewing its applications in both FMPs, it is intended to provide a concise description of the use of LIBS and chemometrics for the detection of FMPs, rather than a detailed description of the fundamentals of the technique, which others have already discussed. Finally, LIBS, like conventional approaches, has some limitations. However, it is a promising technique that may be employed as a routine analysis technique for FMPs when utilized effectively.

Identification of changes in volatile organic compounds in Ophiopogonis Radix containing spoiled products in different proportions by headspace-gas chromatography-ion mobility spectrometry

Ophiopogonis Radix is a kind of traditional Chinese medicine as well as a type of functional food. Because Ophiopogonis Radix grows in the ground, it is often damaged by worms during planting or broken when people try to dig them out, which leads to the containments of spoiled products of different proportion in Ophiopogonis Radix. Volatile organic compounds (VOCs) in Ophiopogonis Radix, which involves spoiled products in different proportions, were analyzed by headspace-gas chromatography-ion mobility spectrometry (HS-GC-IMS). Finally, a total of 87 VOCs were discovered after analysis, and 14 of them were chose to established characteristic fingerprints. Twelve of the 14 characteristic compounds were be recognized by a built-in database. The results showed that the content of hexanol, ethanol, methanol, (E)-2-hexenal, and hexanal was in inverse proportion with the containing of spoiled products, so they may be characteristic VOCs of fresh Ophiopogonis Radix,; and the content of 3-methy-1-butanol, furfural, 5-methylfural, phenylacetaldehyde, 2-methylbutanoic acid, 2-butanone, and 2-acetylfuran are proportional to the containing of spoiled products, so they may be the characteristic of VOCs of spoiled Ophiopogonis Radix. The signal peak intensities of the 14 characteristic VOCs were used as the variables of principal component analysis (PCA). The result shows that the fresh Ophiopogonis Radix and the spoiled Ophiopogonis Radix could be clearly differentiated, and the different proportions of spoiled products were grouped into separate categories, respectively. The larger the proportion of spoiled products, the greater the difference between the sample and fresh Ophiopogonis Radix. PRACTICAL APPLICATIONS: Ophiopogonis Radix is a kind of commonly used traditional Chinese medicine and functional food. In the actual use of Ophiopogonis Radix, the damage caused by worms during planting and the breakage during being dug out often lead to Ophiopogonis Radix containing spoiled products in the market. The existence of spoiled products greatly affects the quality and safety of Ophiopogonis Radix. Due to the difference in flavor between fresh Ophiopogonis Radix and spoiled products, the present study used HS-GC-IMS method to analyze the VOCs in fresh Ophiopogonis Radix and Ophiopogonis Radix containing spoiled products of different proportions and screened out the characteristic VOCs of fresh Ophiopogonis Radix and spoiled Ophiopogonis Radix. The results provide scientific basis for quality control of Ophiopogonis Radix.

Chemical Comparison of Ophiopogonis radix and Liriopes radix Based on Quantitative Analysis of Multiple Components by HPLC Coupled with Electrospray Ionization Tandem Triple Quadrupole Mass Spectrometry

BACKGROUND

Ophiopogonis radix and Liriopes radix are well known for the treatment of dry coughs and phthisis. Liriopes radix is occasionally used as a substitute for Ophiopogonis radix in various prescriptions due to the extremely similar pharmacological activities and clinical efficacies, but they are regarded as two different remedies in the Chinese Pharmacopoeia. Accordingly, the establishment of a reliable analytical approach for the discrimination and quality evaluation of Ophiopogonis and Liriopes is required.

OBJECTIVE

To establish a simple, accurate, and reliable method that can simultaneously determine multiple components in Ophiopogonis radix and Liriopes radix. To comprehensively compare the chemical compositions of the two herbs and find markers for discrimination and quality assessments.

METHOD

An HPLC-ESI-triple quadrupole (QQQ)-MS/MS method was developed for simultaneous characterization and quantification of chemical components in the two herbs. The results were further analyzed by PLS discriminant analysis to provide more information about the chemical differences, as well as to evaluate the quality of each sample.

RESULTS

A total of 23 compounds have been characterized and quantified in 31 batches of herbs from different geographical regions, among which liriopesides B, sprengerinin A, ophiopogonin B, and ophiopogonanone E contribute mostly. The contents of homoisoflavonoids were much higher in Ophiopogonis radix than in Liriopes radix, but the levels of steroidal saponins followed a contrary trend.

CONCLUSIONS

Simultaneous determination of multiple components by HPLC-QQQ-MS/MS coupled with chemometrics analysis is an acceptable strategy to evaluate and control the quality of Ophiopogonis radix and Liriope radix.

HIGHLIGHTS

Simultaneous determination of 12 steroidal saponins and 11 homoisoflavonoids in both Ophiopogonis radix and Liriope radix by using HPLC-QQQ-MS/MS in positive ion mode, as well as the quality control study.

Glycyrrhizae Radix et Rhizoma Processed by Sulfur Fumigation Damaged the Chemical Profile Accompanied by Immunosuppression and Liver Injury

Glycyrrhizae Radix et Rhizoma (GRER) has been used as a medicinal plant and dietary supplements for its beneficial effect in immunomodulatory effects. Sulfur fumigation (SF) processing was widely used in the storage and maintenance of Chinese medicine because of its convenience and cheapness. However, the disadvantage of SF has been reported, but the systematic study of SF on GRER was deficient. In this paper, the active ingredients, sulfur-fumigated products, immunomodulatory effect, and liver injury of SF-GRER were studied. After SF, the liquiritin decreased from 4.49 ± 0.03 mg/g to 3.94 ± 0.08 mg/g (P<0.01). Compared with the NSF-GRER group, the SF-GRER group showed a decreased immunoregulation in the thymus index, spleen index, and serum IL-6 and SOD levels (P<0.05). After 2 weeks of continuous intragastric administration of SF-GRER in healthy mice, the level of serum aspartate aminotransferase (AST) significantly increased (P<0.05) and the area of liver lesion significantly increased compared with the NSF-GRER (P<0.05) group. The sulfonated products (m/z, 631.13) corresponding to liquiritin apioside (m/z, 551.17) and isoliquiritin apioside (m/z, 551.17) were screened out in SF-GRER by using UPLC-Orbitrap-MS. The sulfonated products provided in this paper were discovered for the first time and could be powerfully applied for the identification of SF-GRER. SF destroyed the chemical composition of GRER, inhibited immunoregulation, and induced liver injury. The feasibility of this processing method needs to be reconsidered.

A proposed protocol based on integrative metabonomics analysis for the rapid detection and mechanistic understanding of sulfur fumigation of Chinese herbal medicines

In the current work, Lonicera japonica Flos (FLJ) was selected as a model Chinese herbal medicine (CHM) and a protocol was proposed for the rapid detection of sulfur-fumigated (SF) CHMs. A multiple metabonomics analysis was conducted using HPLC, NIR spectroscopy and a UHPLC-LTQ-Orbitrap mass spectrometer. First, the group discriminatory potential of each technique was respectively investigated based on PCA. Then, the effect of mid-level metabonomics data fusion on sample spatial distribution was evaluated based on data obtained using the above three technologies. Furthermore, based on the acquired HRMS data, 76 markers discriminating SF from non-sulfur-fumigated (NSF) CHMs were observed and 49 of them were eventually characterized. Moreover, NIR absorptions of 18 sulfur-containing markers were identified to be in close correlation with the discriminatory NIR wavebands. In conclusion, the proposed protocol based on integrative metabonomics analysis that we established for the rapid detection and mechanistic explanation of the sulfur fumigation of CHMs was able to achieve variable selection, enhance group separation and reveal the intrinsic mechanism of the sulfur fumigation of CHMs.

Metabolomics data fusion between near infrared spectroscopy and high-resolution mass spectrometry: A synergetic approach to boost performance or induce confusion

In general, data fusion can improve the classification performance of the model, but little attention is paid to the influence of the data fusion on the spatial distribution of the modeling samples. In this paper, the effect of data fusion on sample spatial distribution was studied through integrating NIR data and UHPLC-HRMS data for sulfur-fumigated Chinese herb medicine. Twelve samples collected from four different geographical origins were sulfur fumigated in the lab, and then metabolomics analysis was conducted using NIR and UHPLC-LTQ-Orbitrap mass spectrometer. First of all, the discriminating power of each technique was respectively examined based on PCA analysis. Secondly, combining NIR and UHPLC-HRMS data sets together with or without variable selection was parallelly compared. The results demonstrated that the discriminable ability was remarkably improved after data fusion, indicating data fusion could visualize variable selection and enhance group separation. Samples in the margin between two classes of samples may increase the experience error but has positive effect on the separation direction. Besides, an interesting feature extraction could obtain better discriminable effect than common data fusion. This study firstly provided a new path to employ a comprehensive analytical approach for discriminating SF Chinese herb medicines to simultaneously benefit from the advantages of several technologies.