Phytochemical Active Composites in Rosa Roxburghii Tratt.: Content Distribution and Spectroscopic Characterization

Jia-min CHEN; Bo-yan LI; Yun HU; Jin ZHANG; Rui-min WANG; Xiao-hong SUN

doi:10.3964/j.issn.1000-0593(2022)11-3403-06

Spectroscopy and Spectral Analysis, Volume. 42, Issue 11, 3403(2022)

Phytochemical Active Composites in Rosa Roxburghii Tratt.: Content Distribution and Spectroscopic Characterization

Jia-min CHEN^1、*, Bo-yan LI^{1、1; *;}, Yun HU^2、2;, Jin ZHANG^1、1;, Rui-min WANG^1、1;, and Xiao-hong SUN^1、1;

¹1. School of Public Health/Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang 550025, China

²2. Technology Center, China Tobacco Guizhou Industrial Co. Ltd., Guiyang 550009, China

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Fig. 1. (a) UV-Vis-NIR fusion spectra of the RRT extract samples and (b) fluorescence excitation-emission matrix (EEM) spectra of a typical extract and its 50 times-diluted (inset after Rayleigh scattering being removed) solution

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Fig. 2. PDV discrimination scores of UV-Vis-NIR spectral data of the RRT extracts after being 2^nd derivative-pretreated; Inset illustrates the discriminant scores of 51 RRT extracts originated from AS

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Table 1. Sample information of RRT fruits used in this study

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Table 1. Sample information of RRT fruits used in this study

Origin	Sample size (n)	Range
Origin	Sample size (n)	TPC/ (mg·g^-1 FW)	TFC/ (mg·g^-1 FW)	TTC/ (mg·g^-1 FW)	DPPH/ %	FRAP/ (mmol·L^-1 TE·g^-1 FW)	ABTS/ %
AS	56	11.92~28.62	10.63~27.96	7.34~19.99	14.39~65.49	0.17~0.36	24.16~49.90
ASJ	10	9.28~27.58	14.80~20.36	10.53~17.63	21.73~57.05	0.13~0.31	18.95~46.45
BJ	50	11.74~37.45	9.56~23.63	7.02~22.62	16.08~83.19	0.13~0.44	18.50~68.45
GD	50	10.04~26.92	10.56~20.33	6.91~20.02	19.60~75.04	0.08~0.44	18.53~53.29
GY	22	9.23~29.74	9.70~21.56	7.97~15.82	29.81~67.11	0.14~0.29	18.73~48.56
LL	50	13.09~26.42	8.80~25.13	8.65~19.75	20.04~75.99	0.17~0.31	21.03~51.08
LPS	55	12.34~28.04	9.76~24.06	8.21~17.11	29.15~65.42	0.19~0.29	26.51~47.10
QX	4	12.25~28.19	15.76~21.93	9.41~14.29	34.88~70.70	0.19~0.28	24.90~52.80
TR	4	10.81~26.41	11.90~21.20	11.85~18.80	26.21~48.68	0.14~0.26	18.78~40.61

Table 2. Description of phytochemicals and antioxidant activities of RRT extracts in terms of distributing characteristics

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Table 2. Description of phytochemicals and antioxidant activities of RRT extracts in terms of distributing characteristics

Parameters	Sample size (n)	Range	mean±std	Normality test		r
Parameters	Sample size (n)	Range	mean±std	statistic	p-value	r
TPC	286	10.04~28.19 mg·g^-1 FW	18.99±3.51 mg·g^-1 FW	0.03	0.20	0.98
TFC	287	8.79~23.63 mg·g^-1 FW	15.81±2.87 mg·g^-1 FW	0.03	0.20	0.99
TTC	286	6.91~19.24 mg·g^-1 FW	12.90±2.37 mg·g^-1 FW	0.04	0.20	0.98
DPPH	282	22.33%~67.11%	45.45%±8.4%	0.03	0.20	0.98
FRAP	274	0.17~0.31 mmol·L^-1 TE·g^-1 FW	0.24±0.03 mmol·L^-1 TE·g^-1 FW	0.04	0.20	0.97
ABTS	279	21.03%~49.90%	35.73%±5.40%	0.04	0.20	0.97

Table 3. Analysis of SS_between to SS_within of two RRT extract sample sets from typical regions resulted from the EEM spectra with different preprocessing

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Table 3. Analysis of SS_between to SS_within of two RRT extract sample sets from typical regions resulted from the EEM spectra with different preprocessing

Preprocessing	Ratio of SS_between to SS_within of two sample sets from different regions
Preprocessing	AS vs. BJ	AS vs. LPS	LL vs. GD	LL vs. GY	GD vs. GY
MC	6.82	19.48	4.58	2.37	3.64
MSC+MC	5.09×10³	2.03×10⁴	4.72×10³	1.41×10²	4.24×10³
2^nd Deriv+MC	7.32	18.11	3.70	2.76	3.41

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Jia-min CHEN, Bo-yan LI, Yun HU, Jin ZHANG, Rui-min WANG, Xiao-hong SUN. Phytochemical Active Composites in Rosa Roxburghii Tratt.: Content Distribution and Spectroscopic Characterization[J]. Spectroscopy and Spectral Analysis, 2022, 42(11): 3403

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Paper Information

Category: Research Articles

Received: Sep. 27, 2021

Accepted: --

Published Online: Nov. 23, 2022

The Author Email: CHEN Jia-min (cjm9969@163.com)

DOI:10.3964/j.issn.1000-0593(2022)11-3403-06

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology

Table 1. Sample information of RRT fruits used in this study

Table 1. Sample information of RRT fruits used in this study

Table 2. Description of phytochemicals and antioxidant activities of RRT extracts in terms of distributing characteristics

Table 2. Description of phytochemicals and antioxidant activities of RRT extracts in terms of distributing characteristics

Table 3. Analysis of SSbetween to SSwithin of two RRT extract sample sets from typical regions resulted from the EEM spectra with different preprocessing

Table 3. Analysis of SSbetween to SSwithin of two RRT extract sample sets from typical regions resulted from the EEM spectra with different preprocessing

Table 3. Analysis of SS_between to SS_within of two RRT extract sample sets from typical regions resulted from the EEM spectra with different preprocessing

Table 3. Analysis of SS_between to SS_within of two RRT extract sample sets from typical regions resulted from the EEM spectra with different preprocessing