Effect of Different Post-Harvest Processing Methods on the Chemical Constituents of Notopterygium franchetii by an UHPLC-QTOF-MS-MS Metabolomics Approach
by
Xueyan Su
1,†, 
Youjiao Wu
2,†,
Ying Li
1,
Yanfei Huang
1,
Yuan Liu
1,
Pei Luo
2 and
Zhifeng Zhang
1,2,* 1
Institute of Qinghai-Tibetan Plateau, Southwest Minzu University, Chengdu 610041, Sichuan Province, China
2
State Key Laboratories for Quality Research in Chinese Medicines, Faculty of Chinese Medicine, Macau University of Science and Technology, Macau 853, China
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Molecules 2019, 24(17), 3188; https://doi.org/10.3390/molecules24173188
Submission received: 28 July 2019
/
Revised: 23 August 2019
/
Accepted: 31 August 2019
/
Published: 2 September 2019
Abstract
:Notopterygium franchetii is a herb used in traditional Chinese medicine, where it is known as qianghuo. Its bioactive qualities are influenced by the post-harvest processing methods used (such as drying). However, changes in chemical components according to the drying method are unknown. Fresh roots and rhizomes of N. franchetii were subjected to seven drying methods. Chromatography-mass spectrometry combined with targeted and untargeted analyses were used to investigate relationships between drying methods and chemical concentrations. According to targeted evaluations of the six main bioactive constituents, their total contents decreased significantly in all drying methods. Hierarchical clustering analysis of the drying methods and total metabolome detected 30 chemical constituents, for which heap maps were obtained. Hot air drying was the best processing method, producing the least chemical changes at the lowest cost, while shade drying caused the greatest chemical changes. In conclusion, the wide range of chemical changes in N. franchetii caused by drying was investigated. Such changes potentially affect the quality of herbal medicines.
1. Introduction
Drying is the most fundamental procedure in the post-harvest processing of Chinese herbal medicines, as it affects their bioactive constituents and economic value [1]. Previous studies have shown that the drying of medicinal plants comprises an intense drought stress response. Plant secondary metabolites are usually produced under environmental stresses such as low water and high temperature [2]. Generally, it is believed that the concentration of bioactive components accumulates in the pre-harvest period and decreases during the post-harvest drying process, which is of long duration and uses high temperatures [3]. Accordingly, research into Chinese medicine drying methods aims to optimize the contents and types of bioactive constituents existing in the plant.
Notopterygium franchetii (NF), family Umbelliferae, has been used as a traditional Chinese medicine for thousands of years. It is officially named qianghuo in the Chinese Pharmacopeia (2015 edition). Until now, NF has mainly been cultivated in high altitude regions (2500–3000 m) in the Sichuan and Qinghai provinces of China. Its rhizomes and roots are widely used in Chinese medicine to treat conditions such as rheumatoid arthritis, common fever, subcalorism, and headache [4].
Phytochemical studies have shown that coumarins, phenoloids, flavonoids and their glycosides, and essential oils are the main types of chemicals in NF [5,6,7]. Among these, coumarins, especially isoimperatorin, notopterol, and bergapten, are well known to be the major bioactive compounds, and contribute to NF’s anti-inflammatory, analgesic, and anti-cancer activities [8,9,10]. These coumarins were also found to increase oxidative stress and HO-1 protein levels in human fetal hepatocytes [11]. In the Chinese Pharmacopoeia, the total content of isoimperatorin and notopterol (>0.4%, g/g) was used to evaluate the quality of commercial NF. However, previous studies found that different batches of NF had significantly different contents of these two components. The range of isoimperatorin and notopterol present in 28 samples collected from herbal markets was 0.6–3.7% (g/g) [12,13,14]. It was found that the content of both isoimperatorin and notopterol was significantly different in all the samples, which has implications for the clinical efficacy of NF. These variations were commonly ascribed to the different origins, collection times, growing environments, climatic factors, and soil microorganisms of the NF batches. However, another very important factor is the post-harvest processing method, which can significantly affect the quality and economic value of medicinal plants [15,16].
In our previous pilot experiments, post-harvest drying was observed to cause changes in the contents of coumarins, phenoloids, and essential oils. Thus, NF may be unstable in response to temperature. Traditionally, sunlit or ventilated shade drying is commonly used in post-harvest processing [17]. However, due to their low efficiency and long duration, these two drying methods have become restricted in the modern Chinese medicine industry. Furthermore, mustiness or bacteria often cause medicinal deterioration after long drying durations [18]. In recent years, sulfur fumigation has frequently been employed during post-harvest drying to prevent mustiness. However, increased SO2 levels and heavy metal contamination can cause deterioration that seriously degrades the quality of herbal medicines [19]. Therefore, in recent years, some safer and more effective post-harvest drying methods have been developed. These include the use of far-infrared radiation, microwaves, vacuums, and hot air [20]. Currently, there has been little research on the effects of these modern drying techniques on the quality of NF.
Several analytical methods have been developed for the evaluation of NF, such as high-performance liquid chromatography (HPLC) and gas chromatography (GC) [21,22]. However, GC technology is not suitable for the analysis of thermo-labile components such as isoimperatorin and notopterol. Existing studies have only used HPLC or HPLC-MS to quantify a few compounds according to the origin of NF samples [23]. There are no reports on changes to the chemical constituents of NF arising from different drying methods.
In the present study, an ultra-high-performance liquid chromatography photodiode array detector was combined with quadrupole time-of-flight mass spectrometry (UHPLC-DAD-QTOF-MS/MS) to analyze the chemical components of NF quantitatively and qualitatively. The focus was on the quality-related chemical changes occurring in NF due to different drying methods. The same batch of NF was used to create triplicate samples that were subjected to sun drying, shade drying, microwave drying, freeze drying, oven drying, and infrared drying. Different chemical constituents were identified through the molecular ions and fragment ions of the QTOF-MSMS analysis and those reported in the literature, and through the determination of standard compounds. Statistical analysis was performed to identify the optimal post-harvest process.
2. Results and Discussion
2.1. Method Validation and Optimization
2.1.1. Sample Preparation Optimization
First of all, the different drying methods were performed and optimized. The results demonstrated that traditional sunlight or shade drying were lower in efficiency and longer in duration than modern drying technologies such as microwave drying, freeze drying, and infrared radiation drying. Hot air drying and vacuum drying are usually used in modern industry. Most remarkably, microwave radiation produced a thermal effect that penetrated the material to speed up dehydration, making it the fastest drying method.
The extraction methods were also optimized according to their methods, solvents, and durations. Two commonly-used extraction methods were investigated: hot reflux and ultrasonic-assisted extraction. Determination of the extraction efficiency of NF was performed by UHPLC. In the Chinese Pharmacopeia, notopterol and isoimperatorin as the major bioactive constituents of NF, were used as chemical markers to evaluate NF quality. The results indicate that ultrasonic-assisted extraction was most suitable as it provides the maximum peak area and best resolution. Additionally, extraction solvents (100%, 70% or 50% methanol) and durations (10, 20, 40, and 60 min) were also screened. The combination of 70% methanol and 40 min was selected because it demonstrated superior extraction capacity.
2.1.2. Chromatography and MS Parameter Optimization
In order to improve chromatographic separation, a Waters Acquity HSS T3 (100 mm × 2.1 mm, 1.8 m) column and a Waters Acquity BEH C18 (100 mm × 2.1 mm, 1.7 m) column were investigated for option of chromatography columns. Column temperatures of 25, 30, 35, and 40 °C) were compared. The results showed that the Waters Acquity HSS T3 column achieved the best baseline separation for most sample constituents at 30 °C. A mobile phase composed of two organic phases (MeOH, acetonitrile) and an aqueous phase (water, formic acid) were tested. It was found that MeOH and acetonitrile presented different elution abilities, with acetonitrile giving better for peak separation. Furthermore, the aqueous phase containing formic acid not only improved the resolution of the chromatographic peaks but also produced the adduct [M − H + HCOOH]−, which was beneficial for verifying the molecular ions [M − H]−. Therefore, an acetonitrile–water and 0.1% formic acid mixed mobile phase system was finally selected to achieve the best separation. To improve the sensitivity for the six analytes, their wavelengths were also optimized. Considering the maximum ultraviolet absorptions corresponding to the analytes, 330 nm was selected as the determination wavelength for all components.
Mass analysis was acquired in both positive and negative ion modes. The mass-to-charge ratio (m/z) was set within the range 100–1700 m/z. The negative ion model was chosen due to its better signal-to-noise ratio and greater amount of peak information. In order to generate more precursor ions and fragments ions. Under the optimized chromatographic and MS parameters, 30 components of the NF samples could be simultaneously detected in one run within 40 min. A representative base peak ion chromatogram analyzed in the negative mode is shown in Figure 1.
2.2. Methodological Validation of UHPLC
The contents of nodakenin (8), psoralen (10), bergapten (20), notopterol (23), imperatorin (28), and isoimperatorin (29) in NF were determined by UHPLC. All produced good linearities (r2 > 0.9992) within the acquired ranges. The LODs and LOQs of the six analytes were 13–40 ng and 26–78 ng, respectively, suggesting that the method was sensitive enough to determine the six analytes. The relative standard deviation (RSD) of the intra-day and inter-day precisions of the six analytes were less than 1.12%. The RSD of repeatability and storage stability were less than 2.03% and 2.87%, respectively. The recovery was 96.52–103.48% (RSD < 2.56%). These results suggested that the developed method was able to accurately determine the six analytes accurately (Table 1).
2.3. Quantification of Six Analytes in Fresh NF and NF Dried by Different Methods
Six bioactive components in NF samples dried by different methods were quantified. Identification of these six analytes was further confirmed by comparing the retention times, UV spectra and accurate masses of molecular ions or fragment ions with those of reference compounds. The results are shown in Figure 1 and Table 2. It was found that nodakenin (8) and isoimperatorin (29) were the main components of all NF samples, and the determination results of the six analytes showed significant differences (p < 0.05) in most samples dried by different methods. Compared with fresh NF, the total contents of the six analytes in all dried samples decreased in the range of 31.55% ~ 63.44%. The total content after hot air drying was the greatest (decrease of 31.55%), followed by sunlight drying and freeze drying. The content in microwave drying samples decreased by 63.44%, which was the most significant change in all samples. This interesting phenomenon suggests that microwave drying can significantly destroys some of the chemical constituents due to molecular violent vibration. The far infrared radiation drying samples decreased by 58.04% due to rapid increasing temperature leading to molecular violent vibrations.
The content changes of the six components may have arisen from significant differences in drying duration, pressure and temperature, except microwave drying and far infrared radiation drying. The drying temperature required for vacuum and hot air drying was the same, while the drying duration of vacuum drying was much shorter than those of hot air drying, which lead to greater degradation of all six components. It was found that vacuum drying at 50 °C and 100 Pa also significantly decreased the total content of the six components (a reduction of 59.47%), which was easily degraded under high pressure and heat. However, it should be noted that the determination of the six components were statistically higher dried with hot air drying at 50 °C.
The common characteristic of sunlight drying and hot air drying was that the drying duration was relatively shorter than shading drying. Obviously, a lower temperature can better preserve the bioactive constituents. In summary, both shade drying and hot air drying was superior to other drying methods. However, due to the longer duration of shading drying, hot air drying in the oven was the optional method due to its higher efficiency. Hence, it is a potential alternative to the traditional sunlight and shade drying methods. Microwave drying and freeze-drying were also inferior to hot air drying for NF samples. Therefore, all seven methods induced significant degradation of the six components in the NF samples. However, compared with the other six methods, hot air drying was the best due to its lesser degradation of chemical constituents.
2.4. Identification of Chemical Constituents of N. Franchetii
A total of 30 peaks were monitored in the NF samples by the UHPLC-QTOF-MSMS method. Of these, 26 compounds were unambiguously or tentatively identified for the first time. After adding formic acid to the mobile phase, not only were the chromatographic peaks not only improved but [M − H + HCOOH]− ions were produced, which contributed to the confirmation of the molecular ion. [M + H]+ was considered to further confirm the molecular ion. Comparing the retention times and UV spectra of compounds 8, 10, 20, 23, 28, and 29 with those of the commercial standards, these compounds were unambiguously identified as nodakenin (8), psoralen (10), bergapten (20), notopterol (23), imperatorin (28), and isoimperatorin (29), respectively. Tentative characterization of all other constituents was based on molecular ion and MS/MS fragmentation patterns and relevant literature [24,25,26,27,28,29,30,31,32,33,34,35]. The results are shown in Figure 2 and Table 3. Where applicable, some compounds previously identified from the same botanical family were also used for characterization. The attributions and relative amounts of all 30 compounds in the eight samples are summarized in Table 4.
2.5. Chemical Transformation of NF during Drying
The UHPLC-DAD chromatograph showed that the changes in the chemical constituents from the NF extracts that were mostly quantitative analysis. Qualitative comparison after drying was also very important for the profile of all the different drying method (Figure 2). QTOF-MSMS spectra were used to visualize all of the chemical changes by as it was found that the QTOF-MSMS profile showed the most significant differences. It was evident that compound 17 was more sensitive to shade drying than any other compound. The increase in compound 17 after shade drying was 10.0-fold, while compound 8 decreased 2.2-fold. Qualitative analysis showed that compounds 8 and 18 were predominant in all tested samples. Variations in the main compounds were presented in Figure 3, with some of these results may be arising from the longer drying duration of shade drying. The variations associated with microwave, freeze and far infrared radiation drying were less produced than those from sunlight and shade drying because the drying times were shorter, while the relative contents of compounds 26, 27, and 28 differed by up to 2 -fold after shade drying. Therefore, drying duration was the most important factor in the drying process. The optimal dehydration method is hot air drying due to its low cost and high efficacy. This method was selected for the standardization of NF post-harvest processing.
2.6. Multivariate Analyses
Principal component analysis (PCA) and hierarchical cluster analysis (HCA) were performed to analyze the data. The chemical phenotypes of the eight different types of samples were well discriminated. The accumulative contribution rate of the first four principal components was 95.36% (PC1 = 46.52%, PC2 = 80.30%, PC3 = 91.14%). As shown in Figure 3A, all triplicates from each type were clustered together and separated from the other sample clusters. It was found that in all the processed samples, the duration of shade drying was greater than that of the other drying methods, resulting in the variation in the shade-dried samples being the greatest. The same result was obtained by HCA analysis (Figure 3B).
The HCA of the peak area indicated that all the compounds were clustered in five categories. The distance in the category including compounds 18, 8, 25, 17, and 27 was greater than that of the others, indicating the greatest variation in all chemical constituents (Figure 3C). A heat map of the separation of the compounds attributed was made to illustrate the relative variations in the eight processed groups (Figure 4). In the heat map, each colored cell indicates a concentration, with colors ranging from red to blue representing relative intensities varying from high to low, respectively. The 30 chemical components were classified into five clusters: phenolic acids, organic acids and their esters, flavonoids and flavone glycosides, coumarin, sterols and others. The heat map shows the changes in the relative chemical compositions for each type, showing the differences that could be related to the different drying processes. To illustrate the conspicuous changes in compound concentrations in these five chemical categories, detailed descriptions for each type are made below.
Coumarins: Coumarins are the main bioactive constituents in NF, therefore, their variation may affect the quality of NF. From the heat map, isomers of imperatorin were found to be significantly changed, increasing 8.62- and 9.38-fold after sun drying and oven drying, respectively. Imperatorin increased 9-fold during shade drying. Nodakenin was found to be significantly decreased by about 60% in all processed samples.
Phenolic acids: Phenolic acids are shown in the upper part of the heat map, which indicates that they underwent the greatest variation in concentration in all drying methods. Chlorogenic acid was significantly increased, by 3.47- and 3.31-fold, after shade drying and microwave drying, respectively. In contrast, 3,5-dicaffeoylquinic acid was undetectable in all processed samples. The results suggest that phenolic acids are unstable during drying.
Flavonoids and flavonoid glycosides: Content of flavonoids and flavonoid glycosides were also changed by the processing methods. Compared with fresh samples, compounds 3, 13, and 21 had higher contents after processing. This is consistent with previous studies reporting that flavonoids and flavonoid glycoside concentrations can increase during storage. Compound 3 also exhibited a newly generated peak in the shade-dried samples.
Other notable changes: β-Sitosterol was also a newly generated peak found only in shade-dried samples. Compounds 28 and 29 are a pair of isomers that can interconvert during drying. In shade-dried samples, the content of compound 28 increased 8-fold, while that of compound 29 decreased significantly.
This research has shown that the post-harvest processing of herbal medicines is the most critical factor affecting their quality. The drying process mimics intense drought stress, which changes the plant’s secondary metabolites and causes changes in the bioactive components relevant to herbal medicine. During the drying process, such enzymatic reactions can occur even as the plant is transported from the field to the processing factory [36]. Hence, the properties and taste of herbal medicines can be influenced by the drying method used.
3. Materials and Methods
3.1. Materials and Reagents
HPLC-MS grade acetonitrile was purchased from Sigma-Aldrich (St. Louis, MO, USA). Analytical grade acetic acid and formic acid were obtained from a local company (Chengdu, China). Ultra-pure water was obtained from a Milli-Q system (Millipore, St. Louis, MO, USA). Reference compounds of nodakenin (8), psoralen (10), bergapten (20), notopterol (23), imperatorin (28), and isoimperatorin (29) were purchased from Kangbang Biotechnology Company (Chengdu, China). Fresh NF samples (Batch No. 20180802) were collected from Jiuzhaigou County, Sichuan Province, an indigenous NF cultivation region, and authenticated by Prof. Hao Zhang (School of Pharmacy, Sichuan University, Chengdu, China). The moisture content of the fresh NF sample was about 60%. Voucher specimens were deposited at Southwest Minzu University, Chengdu, China.
3.2. Sample Preparation
3.2.1. Preparation of Standard Solutions
Nodakenin (8), psoralen (10), bergapten (20), notopterol (23), imperatorin (28), and isoimperatorin (29) were accurately weighed with amber volumetric flasks and dissolved in methanol to obtain stock solutions of standard compounds, which were stored at −20 °C. Working solutions were prepared with methanol by serial dilution of the stock solutions.
3.2.2. Sample Processing
The roots and rhizomes of fresh NF were sliced into 0.3–0.5 cm-thick sections. These sections were freely mixed; then, 100 g of sections were selected and subjected to each drying process. The final weight of the sections varied within 3–5% after being weighed twice, and the sections were stored for further analysis. Each drying method was performed in triplicate. Shade drying was carried out in a ventilated room. Sunlight drying, hot air drying, and vacuum drying were carried out in the sun, a ventilated oven, and a vacuum drying oven, respectively. Microwave drying and infrared radiation drying were conducted in a microwave oven and infrared drier, respectively. The different drying processes, their parameters, and the final weights of the dried NF samples are listed in Table 5. The dried samples were stored in a glass drier for further analysis.
3.2.3. Sample Preparation
Dried sample was ground to powder and a 0.5 g aliquot of NF powder (40 mesh) was accurately weighed and extracted in an ultrasonic cleaner with 10.0 mL of methanol-H2O (70:30, v/v) for 30 min. The extracted solution was filtered with a 0.22 µm PTEE syringe filter before injection into the UHPLC.
3.3. UHPLC-DAD-QTOF-MS/MS Analysis
Chromatographic analysis was performed using a UHPLC system with an Agilent 1290 diode array detector (DAD; Agilent Technologies, Santa Clara, CA, USA). Separation was performed on an Acquity HSS T3 column (100 mm × 2.1 mm, 1.8 μm; Waters, Milford, MA, USA). The mobile phase A was 0.1% formic acid in deionized water (v/v), and phase B was acetonitrile of LC-MS grade. A linear gradient was optimized as follows: 0 min, 10% B; 10.0 min, 20% B; 20 min, 30% B; 30 min, 40% B; 35 min, 60% B; and 40 min, 90% B. The flow rate was 0.3 mL/min, the injection volume was 2 μL, and the column temperature was maintained at 30 °C. The DAD spectra were scanned in the 200–400 nm range and chromatograms were obtained at 330 nm for nodakenin (8), psoralen (10), bergapten (20), notopterol (23), imperatorin (28), and isoimperatorin (29). A 2 μL injection volume was used for the standard and sample solutions.
Mass spectrometry was performed using a 6550 UHD Accurate-Mass Q-TOF/MS detector with an electrospray ion source (ESI). The negative mode was chosen because of its high response and sensitivity. The data were processed with Mass Hunter Workstation Data Acquisition Software. For full-scan MS analysis, the spectra were recorded in the range of 100–1700 m/z. The desolvation temperature was set to 350 °C at a flow rate of 700 L/h and a source temperature of 100 °C. The nebulizer pressure was set to 30 psig, the drying gas flow velocity to 12 L/min, and the flow velocity to 10 L/min. The capillary voltage was set at 3000 V and the nozzle voltage at 2500 V. For MS/MS automated and targeted analyses, the collision cell energy was set at 35 eV. The internal reference masses, including m/z 119.0363 (C5H4N4) and 966.0007 (C19H20F24N3O8P3) were used as a low flow of time-of-flight reference mixture and were introduced continuously with LC flow for accurate mass calibration.
3.4. UHPLC Method Validation
The UHPLC method was validated in terms of linearity, precision, accuracy, limit of detection (LOD), limit of quantification (LOQ), repeatability, and recovery. To construct calibrating curves, six standard stock solutions were mixed and diluted with acetonitrile to six appropriate concentrations. The linear curves were obtained by the peak area (y) versus standard concentration (x) of each analyte. The LODs and LOQs were determined by further dilution of standard solutions to a series of concentrations; these were injected into the UHPLC until the signal-to-noise ratios (S/N) were 3:1 and 10:1, respectively. The precision was determined by analyzing intra-day and inter-day variations. The samples were analyzed six times within the same day and on three consecutive days to determine the inter-day and intra-day precisions, respectively. The stability of the sample solution at room temperature was determined by replicated injection of sample solution at 0, 2, 4, 6, 12, and 24 h. Repeatability was investigated using six independent replicate experiments of the same sample. Recovery was obtained by adding a certain amount (low, medium, high) of the six analytes to 0.25 g of sample powder. All samples were extracted and analyzed as described in Section 3.3. Variances are expressed as relative standard deviations (RSD).
3.5. Statistical Analyses
Data were assessed by principal component analysis (PCA) using SIMCA 14.1 software (Umetrics, Umea, Sweden) and hierarchical cluster analysis (HCA) using SPSS (version 22.0, IBM, Somers, NY, USA). Heat map analysis was generated in MetaboAnalyst after data normalization. Statistical analysis was performed using one-way ANOVA followed by Tukey’s post-hoc tests and computed using GraphPad Prism software(GraphPad software, La Jolla, CA, USA). The criterion for statistical significance was p < 0.05.
4. Conclusions
In the present study, quantification and qualification methods were established to evaluate the quality of NF subjected to different post-harvest processing methods. Six major bioactive constituents were simultaneously determined in all of the processed samples. The processing method had a considerable influence on the content of bioactive components in dried NF. The optimal drying method was hot air drying due to its less chemical transformation and high efficacy, and it should be used for the standardization of NF. Total ion current chromatography also indicated that there were significant changes in the chemical profiles of the processed samples. The influence of the post-harvest processing method on the pharmacological action of NF needs to be further investigated for better clinic application. The hot air-drying method should be used for standardization of NF based on the chemical studies. This study provides a basis for ongoing efforts to improve NF quality through the optimization of post-harvest processing.
Author Contributions
X.S. and Y.W. performed the anlysis of UHPLC-QTOF-MS, Y.L. (Ying Li) identified the plant materials. Y.H. and Y.L. (Yuan Liu) conducted the statatistic analysis. P.L. was responsible for project research management and Z.Z. planned, designed, and organized the whole research study. All authors approved the final version of the manuscript.
Funding
The works were supported by the National Natural Science Foundation of China (31870314), the funding of basic research for application of Sichuan province (2018JY0071), the funding of Sichuan Administration of Traditional Chinese Medicine (2018JC027), the Fundamental Research Funds for the Central Universities (2019HQZZ20), Key Laboratory of Superior Forage Germplasm in the Qinghai-Tibetan Plateau (2017-ZJ-Y12).
Conflicts of Interest
There are no conflicts of interest to declare.
References
- Zhu, S.; Shirakawa, A.; Shi, Y.; Yu, X.; Tamura, T.; Shibahara, N.; Yoshimatsu, K.; Komatsu, K. Impact of different post-harvest processing methods on the chemical compositions of peony root. J. Nat. Med. 2018, 72, 757–767. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Busse, J.S.; Wiberley-Bradford, A.E.; Bethke, P.C. Transient heat stress during tuber development alters post-harvest carbohydrate composition and decreases processing quality of chipping potatoes. J. Sci. Food Agric. 2019, 99, 2579–2588. [Google Scholar] [CrossRef] [PubMed]
- Chao, J.; Dai, Y.; Cheng, H.Y.; Lam, W.; Cheng, Y.C.; Li, K.; Peng, W.H.; Pao, L.H.; Hsieh, M.T.; Qin, X.M.; et al. Improving the Concentrations of the Active Components in the Herbal Tea Ingredient, Uraria crinita: The Effect of Post-harvest Oven-drying Processing. Sci. Rep. 2017, 7, 38763. [Google Scholar] [CrossRef] [PubMed]
- Azietaku, J.T.; Ma, H.; Yu, X.A.; Li, J.; Oppong, M.B.; Cao, J.; An, M.; Chang, Y.X. A review of the ethnopharmacology, phytochemistry and pharmacology of Notopterygium incisum. J. Ethnopharmacol. 2017, 202, 241–255. [Google Scholar] [CrossRef] [PubMed]
- Liu, G.Q.; Dong, J.; Wang, H.; Hashi, Y.; Chen, S.Z. Comparison of two species of Notopterygium by high-performance liquid chromatography-photodiode array detection-electrospray ionization tandem mass spectrometry. Eur. J. Mass Spectrom (Chichester) 2012, 18, 59–69. [Google Scholar] [CrossRef]
- Xu, K.; Jiang, S.; Sun, H.; Zhou, Y.; Xu, X.; Peng, S.; Ding, L. New alkaloids from the seeds of Notopterygium incisum. Nat. Prod. Res. 2012, 26, 1898–1903. [Google Scholar] [CrossRef] [PubMed]
- You, M.; Xiong, J.; Zhao, Y.; Cao, L.; Wu, S.B.; Xia, G.; Hu, J.F. Glycosides from the methanol extract of Notopterygium incisum. Planta Med. 2011, 77, 1939–1943. [Google Scholar] [CrossRef]
- Wu, X.W.; Wei, W.; Yang, X.W.; Zhang, Y.B.; Xu, W.; Yang, Y.F.; Zhong, G.Y.; Liu, H.N.; Yang, S.L. Anti-Inflammatory Phenolic Acid Esters from the Roots and Rhizomes of Notopterygium incisium and Their Permeability in the Human Caco-2 Monolayer Cell Model. Molecules 2017, 22, 935. [Google Scholar] [CrossRef]
- Bi, J.P.; Li, P.; Xu, X.X.; Wang, T.; Li, F. Anti-rheumatoid arthritic effect of volatile components in Notopterygium incisum in rats via anti-inflammatory and anti-angiogenic activities. Chin. J. Nat. Med. 2018, 16, 926–935. [Google Scholar] [CrossRef]
- Tang, S.Y.; Cheah, I.K.; Wang, H.; Halliwell, B. Notopterygium forbesii Boiss extract and its active constituent phenethyl ferulate attenuate pro-inflammatory responses to lipopolysaccharide in RAW 264.7 macrophages. A “protective” role for oxidative stress? Chem. Res. Toxicol. 2009, 22, 1473–1482. [Google Scholar] [CrossRef]
- Tang S., Y.; Wang, H.; Zhang, W.; Halliwell, B. Notopterygium forbesii Boiss extract and its active constituents increase reactive species and heme oxygenase-1 in human fetal hepatocytes: mechanisms of action. Chem. Res. Toxicol. 2008, 21, 2414–2423. [Google Scholar] [CrossRef] [PubMed]
- Liu, X.; Jiang, S.; Xu, K.; Sun, H.; Zhou, Y.; Xu, X.; Yi, J.; Gu, Y.; Ding, L.S. Quantitative analysis of chemical constituents in different commercial parts of Notopterygium incisum by HPLC-DAD-MS. J. Ethnopharmacol. 2009, 126, 474–479. [Google Scholar] [CrossRef] [PubMed]
- Qian, G.S.; Wang, Q.; Leung, K.S.; Qin, Y.; Zhao, Z.; Jiang, Z.H. Quality assessment of Rhizoma et Radix Notopterygii by HPTLC and HPLC fingerprinting and HPLC quantitative analysis. J. Pharm. Biomed. Anal. 2007, 44, 812–817. [Google Scholar] [CrossRef] [PubMed]
- Li, Y.H.; Jiang, S.Y.; Guan, X.L.; Zhou, Y.; Huang, S.X. Quantitative Determination of the Chemical Profile of the Plant Material “Qiang-huo” by LC-ESI-MS-MS. Chromatographia. 2006, 64, 405–410. [Google Scholar] [CrossRef]
- Li, Y.; Hong, Y.; Han, Y.; Wang, Y.; Xia, L. Chemical characterization and antioxidant activities comparison in fresh, dried, stir-frying and carbonized ginger. J. Chromatogr. B Analyt. Technol. Biomed. Life Sci. 2016, 1011, 223–232. [Google Scholar] [CrossRef] [PubMed]
- Krüger, S.; Mirgos, M.; Morlock, G.E. Effect-directed analysis of fresh and dried elderberry (Sambucus nigra L.) via hyphenated planar chromatography. J. Chromatogr. A 2015, 1426, 209–219. [Google Scholar] [CrossRef] [PubMed]
- Kaškonienė, V.; Stankevičius, M.; Drevinskas, T.; Akuneca, I.; Kaškonas, P.; Bimbiraitė-Survilienė, K.; Maruška, A.; Ragažinskienė, O.; Kornyšova, O.; Briedis, V.; et al. Evaluation of phytochemical composition of fresh and dried raw material of introduced Chamerion angustifolium L. using chromatographic, spectrophotometric and chemometric techniques. Phytochemistry 2015, 115, 184–193. [Google Scholar] [CrossRef]
- Guo, Y.; Chen, D.; Dong, Y.; Ju, H.; Wu, C.; Lin, S. Characteristic volatiles fingerprints and changes of volatile compounds in fresh and dried Tricholoma matsutake Singer by HS-GC-IMS and HS-SPME-GC-MS. J. Chromatogr. B Analyt. Technol. Biomed. Life Sci. 2018, 1099, 46–55. [Google Scholar] [CrossRef]
- Yuan, M.; Yan, Z.G.; Liu, Y.; Chen, D.Q.; Yang, Z.J.; He, L.L.; Zhang, Z.F. Chemical profiles, antioxidant activity and acute toxicity of raw and sulfur-fumigated Smilacis Glabrae Rhizoma. J. Ethnopharmacol. 2019, 234, 76–84. [Google Scholar] [CrossRef]
- Li, X.B.; Wang, W.; Zhou, G.J.; Li, Y.; Xie, X.M.; Zhou, T.S. Production of salvianolic acid B in roots of Salvia miltiorrhiza (Danshen) during the post-harvest drying process. Molecules 2012, 17, 2388–2407. [Google Scholar] [CrossRef]
- Wang, Y.; Huang, L. Comparison of two species of Notopterygium by GC-MS and HPLC. Molecules 2015, 20, 5062–5073. [Google Scholar] [CrossRef] [PubMed]
- Teye Azietaku, J.; Yu, X.A.; Li, J.; Hao, J.; Cao, J.; An, M.; Tan, Z.; Chang, Y.X. Simultaneous Determination of Bergapten, Imperatorin, Notopterol, and Isoimperatorin in Rat Plasma by High Performance Liquid Chromatography with Fluorescence Detection and Its Application to Pharmacokinetic and Excretion Study after Oral Administration of Notopterygium incisum Extract. Int. J. Anal. Chem. 2016, 2016, 9507246. [Google Scholar] [PubMed]
- Xu, K.; Jiang, S.; Zhou, Y.; Zhang, Y.; Xia, B.; Xu, X.; Zhou, Y.; Li, Y.; Wang, M.; Ding, L. Discrimination of the seeds of Notopterygium incisum and Notopterygium franchetii by validated HPLC-DAD-ESI-MS method and principal component analysis. J. Pharm. Biomed. Anal. 2011, 56, 1089–1093. [Google Scholar] [CrossRef] [PubMed]
- Silva, M.; Dionísio, A.P.; Abreu, F.; Brito, E.S.; Wurlitzer, N.J.; Silva, L.; Ribeiro, P.; Rodrigues, S.; Taniguchi, C.; Pontes, D.F. Evaluation of nutritional and chemical composition of yacon syrup using 1H-NMR and UPLC-ESI-Q-TOF-MSE. Food Chem. 2018, 245, 1239–1247. [Google Scholar] [CrossRef] [PubMed]
- Tang, D.Q.; Zheng, X.X.; Chen, X.; Yang, D.Z.; Du, Q. Quantitative and qualitative analysis of common peaks in chemical fingerprint of Yuanhu Zhitong tablet by HPLC-DAD-MS/MS. J. Pharm. Anal. 2014, 4, 96–106. [Google Scholar] [CrossRef] [PubMed]
- Xu, Y.; Cai, H.; Cao, G.; Duan, Y.; Pei, K.; Tu, S.; Zhou, J.; Xie, L.; Sun, D.; Zhao, J.; et al. Profiling and analysis of multiple constituents in Baizhu Shaoyao San before and after processing by stir-frying using UHPLC/Q-TOF-MS/MS coupled with multivariate statistical analysis. J. Chromatogr. B Analyt. Technol. Biomed. Life Sci. 2018, 1083, 110–123. [Google Scholar] [CrossRef]
- Zhang, Y.; Jiang, S.; Xu, K.; Shi, H.; Zhou, Y.; Deng, W.; Ding, L.; Peng, S. Chemical constituents contained in seeds of Notopterygium franchetii. Zhongguo Zhong Yao Za Zhi. 2012, 37, 941–945. [Google Scholar]
- Wang, L.; Sang, M.; Liu, E.; Banahene, P.O.; Zhang, Y.; Wang, T.; Han, L.; Gao, X. Rapid profiling and pharmacokinetic studies of major compounds in crude extract from Polygonum multiflorum by UHPLC-Q-TOF-MS and UPLC-MS/MS. J. Pharm. Biomed. Anal. 2017, 140, 45–61. [Google Scholar] [CrossRef]
- De la Luz Cádiz-Gurrea, M.; Fernández-Arroyo, S.; Joven, J.; Segura-Carretero, A. Comprehensive characterization by UHPLC-ESI-Q-TOF-MS from an Eryngium bourgatii extract and their antioxidant and anti-inflammatory activities. Food Res. Int. 2013, 50, 197–204. [Google Scholar] [CrossRef]
- Wu, X.W.; Zhang, Y.B.; Zhang, L.; Yang, X.W. Simultaneous quantification of 33 active components in Notopterygii Rhizoma et Radix using ultra high performance liquid chromatography with tandem mass spectrometry. J. Chromatogr. B 2018, 1092, 244–251. [Google Scholar] [CrossRef]
- Zhang, P.; Yang, X.W. Studies on chemical constituents in roots and rhizomes of Notopterygium incisum. Zhongguo Zhong Yao Za Zhi. 2008, 33, 2918–2921. [Google Scholar] [PubMed]
- Ismail, B.B.; Pu, Y.; Guo, M.; Ma, X.; Liu, D. LC-MS/QTOF identification of phytochemicals and the effects of solvents on phenolic constituents and antioxidant activity of baobab (Adansonia digitata) fruit pulp. Food Chem. 2019, 277, 279–288. [Google Scholar] [CrossRef] [PubMed]
- Kaur, B.; Kaur, N. Metabolic fingerprinting of different populations of Phyllanthus niruri L. from Punjab using electrospray ionization mass spectrometry (ESI–MS). Med. Chem. Res. 2016, 25, 2798–2821. [Google Scholar] [CrossRef]
- Zhao, P.; Duan, L.; Guo, L.; Dou, L.L.; Dong, X.; Zhou, P.; Liu, E.H. Chemical and biological comparison of the fruit extracts of Citrus wilsonii Tanaka and Citrus medica L. Food Chem. 2015, 173, 54–60. [Google Scholar] [CrossRef]
- Han, J.; Ye, M.; Yang, M.; Wang, B.R.; Guo, D.A. Analysis of multiple constituents in a Chinese herbal preparation Shuang-Huang-Lian oral liquid by HPLC-DAD-ESI-MSn. J. Pharm. Biomed. Anal. 2007, 140, 45–61. [Google Scholar] [CrossRef]
- Zeng, L.; Wang, X.; Dong, F.; Watanabe, N.; Yang, Z. Increasing postharvest high-temperatures lead to increased volatile phenylpropanoids/benzenoids accumulation in cut rose (Rosa hybrida) flowers. Postharvest Biol. Tec. 2019, 148, 68–75. [Google Scholar] [CrossRef]
Sample Availability: Samples of the compounds (1–30) are not available from the authors. |
Figure 1.
Typical DAD chromatograms of mixed reference compounds (A) and the average chromatograms of the sample of post-harvest processing methods (B).
Figure 1.
Typical DAD chromatograms of mixed reference compounds (A) and the average chromatograms of the sample of post-harvest processing methods (B).
Figure 2.
TIC chromatograms monitored in negative ion model fresh sample (S1) and shade drying (S2), Microwave drying(S3), Freeze drying (S4), Sunlight drying (S5), hot air drying(S6), Vacuum drying(S7), Far infrared ray drying (S8).
Figure 2.
TIC chromatograms monitored in negative ion model fresh sample (S1) and shade drying (S2), Microwave drying(S3), Freeze drying (S4), Sunlight drying (S5), hot air drying(S6), Vacuum drying(S7), Far infrared ray drying (S8).
Figure 3.
Multivariate statistical analysis of fresh sample and seven processed samples. (A and B) The PCA score plot and HCA plot of the LC-MS data set; (C) HCA plot of the LC-MS data based on chemical constituents. The compounds were identified either by MS2 spectra* or by authentic standards#. (S1–1~S1–3: Fresh sample, S2–1~S2–3: Shade drying, S3–1~S3–3: Microwave drying, S4–1~S4–3: Freeze drying, S5–1~S5–3: Sunlight drying, S6–1~S6–3: Oven drying, S7–1~S7–3: Vacuum drying, S8–1~S8–3: Far infrared ray drying) and different chemical constituents (peak 1–peak30).
Figure 3.
Multivariate statistical analysis of fresh sample and seven processed samples. (A and B) The PCA score plot and HCA plot of the LC-MS data set; (C) HCA plot of the LC-MS data based on chemical constituents. The compounds were identified either by MS2 spectra* or by authentic standards#. (S1–1~S1–3: Fresh sample, S2–1~S2–3: Shade drying, S3–1~S3–3: Microwave drying, S4–1~S4–3: Freeze drying, S5–1~S5–3: Sunlight drying, S6–1~S6–3: Oven drying, S7–1~S7–3: Vacuum drying, S8–1~S8–3: Far infrared ray drying) and different chemical constituents (peak 1–peak30).
Figure 4.
The heatmap analysis of annotated chemicals in fresh samples and seven processed samples by chemical categories.
Figure 4.
The heatmap analysis of annotated chemicals in fresh samples and seven processed samples by chemical categories.
Table 1.
Validation of quantitative method by UHPLC-PDA.
| Analyte | Y = ax + b | r | Range (μg/mL) | LOD (ng) | LOQ (ng) | Precision (n = 6) RSD | Stability (n = 6) RSD | Repeatability (n = 6) RSD | Recovery (n = 6) RSD | |
|---|---|---|---|---|---|---|---|---|---|---|
| a | b | |||||||||
| nodakenin | 2.95 × 106 | −1127 | 0.9996 | 1.18–472 | 26 | 78 | 1.09% | 1.46% | 1.23% | 2.56% |
| psoralen | 2.43 × 107 | 821 | 0.9999 | 0.44–176 | 15 | 44 | 1.11% | 2.25% | 1.79% | 1.75% |
| bergapten | 5.48 × 107 | 873 | 0.9999 | 0.35–140 | 10 | 28 | 1.12% | 0.95% | 1.51% | 0.74% |
| notopterol | 2.97 × 107 | 240 | 0.9999 | 0.58–234 | 19 | 58 | 0.57% | 2.41% | 1.03% | 1.43% |
| imperatorin | 2.88 × 107 | 725 | 0.9999 | 0.30–120 | 16 | 48 | 0.74% | 2.87% | 2.03% | 2.06% |
| isoimperatorin | 1.42 × 107 | 6764 | 0.9999 | 0.20–80 | 9 | 26 | 0.42% | 0.95% | 1.42% | 0.99% |
Table 2.
The mean determination of six bioactive components in fresh N. franchetii, slices dried with different methods (mg/g, n = 3).
Table 2.
The mean determination of six bioactive components in fresh N. franchetii, slices dried with different methods (mg/g, n = 3).
| No. | Drying Method | Nodakenin | Psoralen | Bergapten | Notopterol | Imperatorin | Isoimperatorin | Summary | Reduction Rate (%) |
|---|---|---|---|---|---|---|---|---|---|
| S1 | Fresh sample | 24.31 | 0.17 | 0.30 | 0.13 | 0.57 | 9.79 | 35.27 | - |
| S2 | Shade drying | 14.84 | 0.08 | 0.31 | 0.06 | 5.17 | 3.06 | 23.52 | 33.31 |
| S3 | Microwave drying | 7.18 | 0.04 | 0.40 | 0.07 | 0.21 | 5.00 | 12.90 | 63.44 |
| S4 | Freeze drying | 10.4 | 0.05 | 0.22 | 0.07 | 0.28 | 4.92 | 15.94 | 54.80 |
| S5 | Sunlight drying | 10.94 | 0.07 | 0.39 | 0.08 | 0.39 | 5.55 | 17.42 | 50.61 |
| S6 | Hot air drying | 14.22 | 0.08 | 0.21 | 0.11 | 0.53 | 8.99 | 24.14 | 31.55 |
| S7 | Vacuum drying | 8.75 | 0.05 | 0.16 | 0.06 | 0.19 | 5.08 | 14.29 | 59.47 |
| S8 | Far infrared ray drying | 10.12 | 0.03 | 0.10 | 0.06 | 0.22 | 4.27 | 14.80 | 58.04 |
Table 3.
The compounds identified in the TIC chromatogram.
| Peak No. | Retention (min) | Molecular Formula | Quasi-molecular[M-H] = [M + Cl/COOH]−(error, ppm) | Quasi-Molecular[M + H/Na]+(error, ppm) | MS/MS Fragments Ions | Identification |
|---|---|---|---|---|---|---|
| 1 | 4.495 | C16H18O9 | 353.0878(0.02) | 191.0466,173.0452,135.0427 | Chlorogenic acid [24] | |
| 2 | 5.754 | C29H50O | 415.3959(−5.92) | 399.1085,255.0318,211.9974 | β-Sitosterol [25] | |
| 3 | 6.11 | C28H32O15 | 609.1819(−0.77) | 463.1250,301.0724,203.0353 | Diosmin [25] | |
| 4 | 9.17 | C9H6O3 | 161.0244(−0.08) | 133.0297,119.0194,106.2345 | Umbelliferone [26] | |
| 5 | 9.779 | C20H24O9 | 409.1482(2.71) | 246.9364,228.8693,174.5889 | Isomer of nodakenin [27] | |
| 6 | 10.313 | C10H10O4 | 193.0506(1.20) | 178.0160,134.0372,105.0353 | Ferulic acid [28] | |
| 7 | 10.941 | C13H10O5 | 245.0479(−9.6) | 227.0690,211.0387,159.0454 | Isopimpinellin [29] | |
| 8 | 11.463 | C20H24O9 | 409.1482(2.71) | 246.9364,228.8695,174.5887 | Nodakenin [27] | |
| 9 | 13.416 | C21H32O2 | 317.2474(0.34) | 183.0106,119.0331,102.0110 | Pregnenolone [25] | |
| 10 | 13.847 | C11H6O3 | 187.0402(−6.57) | 143.0504,131.0500,115.0546 | Psoralen [25] | |
| 11 | 14.505 | C20H24O10 | 447.1233(6.41) | 241.0875,179.0853,127.0393 | Decuroside V [30] | |
| 12 | 14.978 | C25H24O12 | 517.1314(5.13) | 355.1988,200.7070,156.4883 | 3,5-Dicaffeoylquinic acid [31] | |
| 13 | 16.581 | C21H24O11 | 453.1364(6.04) | 322.2452,283.1529,208.8737 | (−)-Catechin-7-O-glucoside [32] | |
| 14 | 16.894 | C16H16O4 | 271.0970(−0.43) | 225.2215,137.0230,106.0417 | p-Hydroxyphenethyl anisate [25] | |
| 15 | 17.442 | C26H26O12 | 529.1315(6.9) | 363.1776,247.1300,159.0230 | 1-Caffeoyl-5-feruloylquinic acid [33] | |
| 16 | 18.314 | C16H16O6 | 305.0991(9.39) | 202.7124,174.58312,158.5002 | Oxypeucedanin hydrate [34] | |
| 17 | 18.761 | C11H6O4 | 203.0354(−7.46) | 159.0448,147.0450,131.0502 | Bergaptol [14] | |
| 18 | 19.943 | C30H32O12 | 585.1998(−5.38) | 405.1338,247.0979,177.0560 | 6′-O-trans-feruloyl nodakenin [27] | |
| 19 | 20.933 | C16H14O4 | 271.0959(2.16) | 201.0558,173.0608,145.0658 | Isomer of imperatorin [35] | |
| 20 | 21.614 | C12H8O4 | 261.0424(−7.43) | 201.7049,176.6158,145.4164 | Bergapten [35] | |
| 21 | 23.623 | C16H12O6 | 299.0566(−1.63) | 284.0314,256.0362,183.0440 | Diosmetin [14] | |
| 22 | 24.016 | C21H22O4 | 337.1440(1.58) | 201.0172,173.0205,109.0287 | Anhydronotoptol [7] | |
| 23 | 26.571 | C21H22O5 | 355.1566(−7.32) | 172.5619,216.7848,272.8885 | Notopterol [35] | |
| 24 | 29.892 | C16H14O5 | 287.0936(−7.66) | 203.0355,175.0402,147.0450 | Oxypeucedanin [7] | |
| 25 | 33.391 | C18H18O5 | 349.0858(−2.79) | 149.0610,134.0364,117.0335 | p-Hydroxyphenethyl ferulate [31] | |
| 26 | 33.725 | C18H18O4 | 297.1137(−1.57) | 183.0132,160.8449,136.9432 | Phenethyl ferulate [35] | |
| 27 | 34.376 | C20H26O4 | 329.1756(0.71) | 314.1504,177.0181,133.0289 | Bornyl ferulate [35] | |
| 28 | 34.948 | C16H14O4 | 271.0959(2.16) | 201.0557,173.0609,145.0658 | Imperatorin [35] | |
| 29 | 36.501 | C16H14O4 | 271.0959(2.16) | 201.0559,173.0608,145.0658 | Isoimperatorin [35] | |
| 30 | 37.301 | C19H22O3 | 299.1628(4.58) | 175.0400,145.0295,119.0498 | 7-Geranyloxycoumarin [35] |
The compounds 8, 10, 20, 23, 28 and 29 were confirmed by comparison with chemical standards.
Table 4.
Relative fold change of the main compounds in eight samples.
| Peak No. | Retention (min) | Fold Change | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Fresh Sample | Shade Drying | Microwave Drying | Freeze Drying | Sun Drying | Hot Air Drying | Vacuum Drying | Far infrared Ray Drying | ||
| 1 | 4.495 | 1.00 | 3.47 | 3.31 | 0.29 | 1.85 | 1.76 | 0.89 | 0.00 |
| 2 | 5.754 | 0.00 | 1.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| 3 | 6.110 | 0.00 | 1.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| 4 | 9.170 | 1.00 | 0.88 | 0.42 | 0.28 | 0.52 | 0.84 | 0.30 | 0.39 |
| 5 | 9.779 | 1.00 | 0.76 | 0.06 | 0.16 | 0.13 | 0.20 | 0.08 | 0.07 |
| 6 | 10.313 | 1.00 | 1.13 | 0.98 | 0.41 | 0.87 | 0.95 | 0.00 | 0.00 |
| 7 | 10.941 | 1.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| 8 | 11.463 | 1.00 | 0.61 | 0.30 | 0.43 | 0.45 | 0.58 | 0.36 | 0.42 |
| 9 | 13.416 | 1.00 | 1.90 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| 10 | 13.847 | 1.00 | 0.47 | 0.24 | 0.29 | 0.41 | 0.47 | 0.29 | 0.18 |
| 11 | 14.505 | 1.00 | 0.00 | 0.38 | 0.00 | 0.77 | 0.81 | 0.00 | 0.00 |
| 12 | 14.978 | 1.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| 13 | 16.581 | 0.00 | 1.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| 14 | 16.894 | 0.00 | 1.00 | 0.00 | 0.00 | 0.00 | 1.09 | 0.00 | 0.00 |
| 15 | 17.442 | 1.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.88 | 0.00 | 0.00 |
| 16 | 18.314 | 1.00 | 0.00 | 0.90 | 0.62 | 0.00 | 0.58 | 0.00 | 0.39 |
| 17 | 18.761 | 1.00 | 6.17 | 0.27 | 0.29 | 0.41 | 0.39 | 0.33 | 0.32 |
| 18 | 19.943 | 1.00 | 0.73 | 0.19 | 0.33 | 0.33 | 0.48 | 0.08 | 0.12 |
| 19 | 20.933 | 1.00 | 9.38 | 8.62 | 1.19 | 4.59 | 6.94 | 1.61 | 1.07 |
| 20 | 21.614 | 1.00 | 1.03 | 1.33 | 0.73 | 1.30 | 0.67 | 0.53 | 0.33 |
| 21 | 23.623 | 0.00 | 3.66 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| 22 | 24.016 | 1.00 | 0.31 | 0.34 | 0.12 | 0.19 | 0.21 | 0.13 | 0.09 |
| 23 | 26.571 | 1.00 | 0.46 | 0.54 | 0.54 | 0.62 | 0.77 | 0.46 | 0.46 |
| 24 | 29.892 | 1.00 | 0.48 | 0.34 | 0.30 | 0.29 | 0.38 | 0.26 | 0.27 |
| 25 | 33.391 | 1.00 | 0.77 | 0.26 | 0.36 | 0.34 | 0.47 | 0.29 | 0.30 |
| 26 | 33.725 | 1.00 | 2.92 | 0.25 | 0.21 | 0.19 | 1.34 | 0.20 | 0.85 |
| 27 | 34.376 | 1.00 | 25.62 | 0.64 | 0.93 | 1.20 | 2.41 | 0.89 | 0.83 |
| 28 | 34.948 | 1.00 | 8.72 | 0.36 | 0.50 | 0.69 | 0.92 | 0.34 | 0.38 |
| 29 | 36.501 | 1.00 | 0.38 | 0.51 | 0.50 | 0.57 | 0.82 | 0.52 | 0.44 |
| 30 | 37.301 | 1.00 | 1.04 | 0.93 | 0.58 | 0.61 | 0.72 | 0.23 | 0.34 |
Table 5.
The drying duration and final moisture of N. franchetii dried under the different methods.
| No. | Drying Methods | Drying Parameters | Duration | Moisture (%) |
|---|---|---|---|---|
| Temp. or Power | ||||
| S2 | Shade drying | 22–25 °C | 10 d | 9.35 |
| S3 | Microwave drying | 2450 MHz | 30 min | 8.75 |
| S4 | Freeze drying | −35 °C | 8 h | 9.28 |
| S5 | Sunlight drying | 22–30 °C | 4 d | 10.25 |
| S6 | Hot air drying | 50 °C | 2 d | 10.35 |
| S7 | Vacuum drying | 50 °C | 4 h | 7.82 |
| S8 | Far infrared ray drying | 80–85 °C, 1125 W | 3h | 8.54 |
© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Share and Cite
MDPI and ACS Style
Su, X.; Wu, Y.; Li, Y.; Huang, Y.; Liu, Y.; Luo, P.; Zhang, Z. Effect of Different Post-Harvest Processing Methods on the Chemical Constituents of Notopterygium franchetii by an UHPLC-QTOF-MS-MS Metabolomics Approach. Molecules 2019, 24, 3188. https://doi.org/10.3390/molecules24173188
AMA Style
Su X, Wu Y, Li Y, Huang Y, Liu Y, Luo P, Zhang Z. Effect of Different Post-Harvest Processing Methods on the Chemical Constituents of Notopterygium franchetii by an UHPLC-QTOF-MS-MS Metabolomics Approach. Molecules. 2019; 24(17):3188. https://doi.org/10.3390/molecules24173188
Chicago/Turabian StyleSu, Xueyan, Youjiao Wu, Ying Li, Yanfei Huang, Yuan Liu, Pei Luo, and Zhifeng Zhang. 2019. "Effect of Different Post-Harvest Processing Methods on the Chemical Constituents of Notopterygium franchetii by an UHPLC-QTOF-MS-MS Metabolomics Approach" Molecules 24, no. 17: 3188. https://doi.org/10.3390/molecules24173188
APA StyleSu, X., Wu, Y., Li, Y., Huang, Y., Liu, Y., Luo, P., & Zhang, Z. (2019). Effect of Different Post-Harvest Processing Methods on the Chemical Constituents of Notopterygium franchetii by an UHPLC-QTOF-MS-MS Metabolomics Approach. Molecules, 24(17), 3188. https://doi.org/10.3390/molecules24173188
