Rapidly analyzing of ingredients during chewing and processing of areca nut using feature-based molecular networking

Analysis of areca alkaloids and their conversions using CE-C4D and identification by CE-MS

As one of the four major addictive substance globally, areca nut contains areca alkaloids as its principal active ingredients, which exhibit both medicinal potential and toxic effects. In this study, a concise and effective approach was developed for the simultaneous analysis of areca alkaloids using laboratory-built capillary electrophoresis (CE) with capacitively coupled contactless conductivity detection (C4D). The proposed method demonstrated satisfactory linearity (R2 ≥ 0.995), precision (RSDs ≤ 6.56%) and quantification limits of 0.77-1.37 μM. This method has been successfully used to quantify areca products with recoveries of 92.2-110.1%. In addition, the effect of processing on the areca alkaloid content in areca nut-containing products was analyzed. On this basis, the conversions of areca alkaloids under various alkaline conditions were investigated through experimental studies and theoretical calculations. The separation parameters for CE-C4D were effectively transferred to CE-mass spectrometry (MS), and the above analytical results for areca alkaloids were validated by incorporating CE-MS related experiments.

Proanthocyanidins as the marker of amomum fruit from three botanical origins based on comprehensive profiling with LC-MS and GC-MS combined with chemometrics

INTRODUCTION

Amomum fruit, also known as Sharen, serves as both a functional food and a traditional Chinese medicine with significant pharmacological activities. However, there are three botanical origins of Amomum fruit: Amomum villosum Lour. (AVL), Amomum villosum Lour. var. xanthioides T. L. (AVX), and Amomum longiligulare T. L. Wu (ALW).

OBJECTIVE

Conducting a comprehensive chemical composition analysis of Amomum fruit from three botanical origins aims to identify potential differences in metabolic characteristics.

METHODS

To annotate the metabolic characteristic ions of multi-origin Amomum fruit, we employed metabolomic techniques, including ultra-high-performance liquid chromatography (LC) coupled with linear ion trap-Orbitrap-tandem mass spectrometry (MS) and gas chromatography-MS, in conjunction with feature-based molecular networking technology. Additionally, chemometrics was utilized to examine the correlations between the various botanical origins.

RESULTS

A total of 201 non-volatile and 151 volatile metabolites were annotated, and most of the proanthocyanidins and flavonoids were identified by feature-based molecular networking. Additionally, 61 non-volatile and 45 volatile feature ions were screened out for classification. Principal component analysis, orthogonal projection to latent structures discrimination analysis, and heat map analysis were employed to clearly distinguish the metabolite profiles of Amomum fruit from different origins. Hierarchical clustering analysis indicated that proanthocyanidins C1 and C2, as well as proanthocyanins oligomers, show significant differential expression between AVX and AVL, which could be the new quality markers for the classification.

CONCLUSION

Classification of the botanical origin of Amomum fruit based on LC-MS characteristic ions proved to be more advantageous. This study introduces new strategies and technical support for the quality control of Amomum fruit and facilitates the identification of unknown compounds for future research.

Effect of electron beam irradiation treatment on microstructure, physicochemical properties, and bioactive content of areca nut

BACKGROUND

Electron beam irradiation treatment is a novel technology that uses low-dose ionizing radiation for the treatment of crops or food to enhance their quality. This study investigated the effects of electron beam irradiation on the microstructure, physicochemical properties, and bioactive compounds of areca nuts.

RESULTS

As the irradiation dose increased, the cellulose, hemicellulose, and lignin content in the areca nuts decreased significantly, whereas the polysaccharide and pectin content increased gradually. The hardness, chewiness, and adhesiveness of areca nuts reached their lowest values when the irradiation dose was within the range of 6-9 kGy, indicating that irradiation effectively reduced the hardness of the areca nut fibers. The decrease in crystallinity led to the formation of loose structures in the fibers upon irradiation, thereby improving their water retention, expansion, and oil-holding capacity, which are beneficial for the subsequent processing of areca nut-based chewable products. The water- and oil-holding capacities of the areca nuts peaked when the irradiation dose was within the 6-9 kGy range. Electron irradiation also affected the content of active substances in the areca nuts, particularly alkaloids, flavonoids, and polyphenols, showing an overall trend of initial increase followed by subsequent decrease.

CONCLUSION

Electron irradiation was not only effective in softening the fibers but it also impacted the overall quality of the areca nuts significantly. The results provide valuable reference data for improving the quality of areca nuts through electron beam irradiation technology. © 2024 Society of Chemical Industry.

Comprehensive comparison of two colour varieties of Perillae folium by UHPLC-Q-TOF/MS analysis combining with feature-based molecular networking

Perillae Folium (PF), the leaf of Perilla frutescens (L.) Britt is extensively used as a culinary vegetable and medicinal herb in many countries. Purple PF (P. frutescens var. arguta) and green PF (P. frutescens var. frutescens) are two of the main varieties. In this study, UHPLC-Q-TOF/MS assisted with feature-based molecular networking (FBMN) was applied for chemical characterization. In total, 82 metabolites, mainly phenolic acid derivatives were identified from PF. With the help of FBMN, five organic acid glucosides together with three N-phenylpropenoyl-L-amino acids (NPAs) were identified in PF for the first time. Multivariate statistical methods were utilized for comprehensive comparison of purple and green PF profiles. 12 compounds with their relative contents varied significantly between purple and green PF were screened out. Overall, the present study offers valuable insights for chemical elucidation of PF which would be helpful for comprehensive utilization of PF resource.

Extraction and identification of bioactive compounds from areca nut (Areca catechu L.) and potential for future applications

Areca (Areca catechu L.) nut is a tropical plantation fruit cultivated mainly in South and Southeast Asia. As a chewing hobby, it has become the most common psychoactive substance in the world, besides tobacco, alcohol, and caffeine. Areca catechu contains abundant nutrients and active components such as alkaloids, polyphenols, polysaccharides, proteins, and vitamins, which have been reported to have anti‐inflammatory, antioxidant, antibacterial, anti‐depressant, anti‐hypertensive, anti‐fatigue, and other biological properties. However, at present, the resource utilization rate of the whole‐plant areca nut is low, which not only causes resource waste but also damages the environment. Establishing effective, safe, and environmentally friendly techniques and methods is necessary for the comprehensive utilization of A. catechu resources. In this review, we summarized the traditional and advanced methods for the extraction and identification of main bioactive substances in A. catechu and compared the advantages and disadvantages of these methods. Furthermore, the possible trends and perspectives for future use of A. catechu are also discussed. Our objective is to extend the application of this bioactive ingredient to improve the added value, provide valuable information for developing new A. catechu products and derivatives, and improve the comprehensive utilization of areca nut resources.

Non-targeted mass spectrometry and feature-based molecular networking for determination of branched fatty acid esters of hydroxy fatty acids in milk

Branched fatty acid esters of hydroxy fatty acids (FAHFAs) represent trace lipids with significant natural biological functions. While exogenous FAHFAs have been extensively studied, research on FAHFAs in milk remains limited, constraining our grasp of their nutritional roles. This study introduces a non-targeted mass spectrometry approach combined with chemical networking of spectral fragmentation patterns to uncover FAHFAs. Through meticulous sample handling and comparisons of various data acquisition and processing modes, we validate the method's superiority, identifying twice as many FAHFAs compared to alternative techniques. This validated method was then applied to different milk samples, revealing 45 chemical signals associated with known and potential FAHFAs, alongside findings of 66 ceramide/hexosylceramide (Cer/HexCer), 48 phosphatidyl ethanolamine/lyso phosphatidyl ethanolamine (PE/LPE), 21 phosphatidylcholine/lysophosphatidylcholine (PC/LPC), 16 phosphatidylinositol (PI), 7 phosphatidylserine (PS), and 11 sphingomyelin (SM) compounds. This study expands our understanding of the FAHFA family in milk and provides a fast and convenient method for identifying FAHFAs.

Deep Eutectic Solvents for Efficient and Selective Extraction of α-Glucosidase Inhibitors from Waste Seeds of Refined Betel Nuts

During the production process of refined betel nuts in China, a large amount of processing by-product, betel nut waste seeds, is generated. Betel nut waste seeds are rich in bioactive elements, but they have not been effectively utilized yet. In this study, an ultrasonic-assisted deep eutectic solvent method (DES) was used to selectively extract α-glucosidase inhibitors from waste seeds. Compared with traditional extraction solvents such as water and ethanol, the extraction efficiency of specific DESs is higher, and the content of alkaloids in the extracts is lower. However, it should be noted that some pure DESs exhibit inhibitory activity towards α-glucosidase. DESs, based on choline chloride/urea, were selected due to the high extraction efficiency of α-glucosidase inhibitors and their low alkaloid content as well as low inhibitory activity. The optimal extraction conditions were determined using single-factor experiments as follows: 30% (v/v) water content, a choline chloride/urea ratio of 5:3, a solid-liquid ratio of 1:10, extraction temperature of 40 °C, and a duration of 30 min. Through recovery experiments, it was found that the DES can be reused four times under these conditions, maintaining an inhibition rate comparable to alcohol extraction methods. The IC50 value of the extract was measured at 0.0066 mg/mL, superior to acarbose. In summary, this research has successfully developed an efficient and selective method for extracting α-glucosidase inhibitors from betel nut waste seeds, thereby presenting a promising avenue for future applications.

Development and application of mass spectrometric molecular networking for analyzing the ingredients of areca nut

Areca nut (Areca catechu L.) is commonly consumed as a chewing food in the Asian region. However, the investigations into the components of areca nut are limited. In this study, we have developed an approach that combines mass spectrometry with feature-based molecular network to explore the chemical characteristics of the areca nut. In comparison to the conventional method, this technique demonstrates a superior capability in annotating unknown compounds present in areca nut. We annotated a total of 52 compounds, including one potential previously unreported alkaloid, one carbohydrate, and one phenol and confirmed the presence of 7 of them by comparing with commercial standards. The validated method was used to evaluate chemical features of areca nut at different growth stages, annotating 25 compounds as potential biomarkers for distinguishing areca nut growth stages. Therefore, this approach offers a rapid and accurate method for the component analysis of areca nut.

Biological Effects and Biomedical Applications of Areca Nut and Its Extract

The dried, mature fruit of the palm tree species Areca catechu L. is known as the areca nut (AN) or betel nut. It is widely cultivated in the tropical regions. In many nations, AN is utilized for traditional herbal treatments or social activities. AN has historically been used to address various health issues, such as diarrhea, arthritis, dyspepsia, malaria, and so on. In this review, we have conducted a comprehensive summary of the biological effects and biomedical applications of AN and its extracts. Initially, we provided an overview of the constituents in AN extract. Subsequently, we summarized the biological effects of AN and its extracts on the digestive system, nervous system, and circulatory system. And we elucidated the contributions of AN and its extracts in antidepressant, anti-inflammatory, antioxidant, and antibacterial applications. Finally, we have discussed the challenges and future perspectives regarding the utilization of AN and its extracts as emerging pharmaceuticals or valuable adjuncts within the pharmaceutical field.