Comparative investigation for raw and processed products of Euodiae Fructus based on high‐performance liquid chromatography fingerprints and chemical pattern recognition

Author(s):  
Huan-huan Li ◽  
Tao Feng ◽  
Ying-li Wen ◽  
Li Li ◽  
Ya-nan Liu ◽  
...  
2022 ◽  
Vol 12 ◽  
Author(s):  
Lifei Gu ◽  
Xueqing Xie ◽  
Bing Wang ◽  
Yibao Jin ◽  
Lijun Wang ◽  
...  

Lonicerae japonicae flos (L. japonicae flos, Lonicera japonica Thunb.) is one of the most commonly prescribed botanical drugs in the treatment or prevention of corona virus disease 2019. However, L. japonicae flos is often confused or adulterated with Lonicerae flos (L. flos, Lonicera macrantha (D.Don) Spreng., Shanyinhua in Chinese). The anti-SARS-CoV2 activity and related differentiation method of L. japonicae flos and L. flos have not been documented. In this study, we established a chemical pattern recognition model for quality analysis of L. japonicae flos and L. flos based on ultra-high performance liquid chromatography (UHPLC) and anti-SARS-CoV2 activity. Firstly, chemical data of 59 batches of L. japonicae flos and L. flos were obtained by UHPLC, and partial least squares-discriminant analysis was applied to extract the components that lead to classification. Next, anti-SARS-CoV2 activity was measured and bioactive components were acquired by spectrum-effect relationship analysis. Finally, characteristic components were explored by overlapping feature extracted components and bioactive components. Accordingly, eleven characteristic components were successfully selected, identified, quantified and could be recommended as quality control marker. In addition, chemical pattern recognition model based on these eleven components was established to effectively discriminate L. japonicae flos and L. flos. In sum, the demonstrated strategy provided effective and highly feasible tool for quality assessment of natural products, and offer reference for the quality standard setting.


Toxins ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 52 ◽  
Author(s):  
Shabbir Hussain ◽  
Muhammad Rafique Asi ◽  
Mazhar Iqbal ◽  
Nisha Khalid ◽  
Syed Wajih-ul-Hassan ◽  
...  

The objective of the study was to explore the incidence of patulin (PAT) mycotoxin in mango and orange fruits and derived products marketed in Pakistan. A total of 274 samples, including 70 mango fruits, 63 mango-based products (juices, pulp, and jam), 77 orange fruits, and 64 orange-based products, were collected. PAT was determined by reverse-phase high-performance liquid chromatography (HPLC) with UV-Vis detector (276 nm). Linear detector response was observed (R2 > 0.99), the limit of detection (LOD) was 5 µg/kg and recovery percentage was 97.4%. The incidence of PAT in mango samples was 61.7%, and the concentration ranged from <LOD to 6415 µg/kg with a mean of 110.9 µg/kg. Our results showed the high susceptibility of mango fruits to patulin, and it was observed that decayed mango fruits were most contaminated with PAT. Among the mango samples, PAT concentration was higher in fruits than in processed products such as mango juice, pulp, and jam. Toxin incidence in orange samples was 52.5% with concentrations from <LOD to 61 µg/kg and a mean of 6.3 µg/kg. As much as 29 samples of mango (21.8%) contained PAT concentration above the regulatory limit (50 µg/kg), whereas there was only one exceeding orange sample (0.7%). Our results show that PAT seems to be a problem in fruits, juices, and derived solid products, especially from mango, and needs surveillance on regular basis.


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