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

Journals >Spectroscopy and Spectral Analysis >Volume 42 >Issue 11 >Page 3403 > Article

Spectroscopy and Spectral Analysis
Vol. 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;

Author Affiliations

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

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 Copy Citation Text

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(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

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

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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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 1. Sample information of RRT fruits used in this study

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

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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

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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