Data on the optimization and validation of HPLC-PDA method for quantification of thirty polyphenols in blackthorn flowers and dry extracts prepared thereof.

This paper presents data on the optimization and validation of an RP-HPLC-PDA method for quantification of 30 phenolic constituents of the blackthorn (Prunus spinosa L.) flower. The method development data cover detailed descriptions of the optimization process in terms of elution solvents, gradient profile, temperature, and flow rate. The validation data cover accuracy and precision (intra- and inter-day variability) for retention times and peak areas. Moreover, the quantification data for the commercial samples of blackthorn flower (different manufactures and years of collection), as well as for the extracts (of different polarity) prepared thereof, are included. The data presented here were related to the article: "Simultaneous quantification of thirty polyphenols in blackthorn flowers and dry extracts prepared thereof: HPLC-PDA method development and validation for quality control" [1].

The quantification data might be used for comparison by Researchers working on pan class="Species">blackthorn flower and extracts prepaspan>red thereof.

The presented data might be suitable for quality control and identity confirmation of pan class="Species">blackthorn flowers.

Data description

Fig. 1, Fig. 2, Fig. 3 show sample chromatograms illustrating the stages of the optimization process for the separation of 30 polyphenolic compounds typical for the Species">blackthorn (span>n class="Species">Prunus spinosa L.) flower, particularly the influence of acetonitrile (Fig. 1), tetrahydrofuran (Fig. 2), and temperature/flow rate (Fig. 3) on the separation. Fig. 4 presents the optimized gradient profile. Fig. 5 shows the deconvolution of overlapping peaks using the differences in their UV–Vis spectra. Table 1 summarizes the validation data of the developed method for precision and accuracy. Quantification data for the commercial samples of blackthorn flower (different manufactures and years of collection), as well as for the extracts (of different polarity) prepared thereof, are presented in Table 2 and Table 3, respectively. Moreover, the contents of five tentatively identified compounds in the commercial samples and dry extracts are shown in Table 4.

Fig. 1

The separation of P. spinosa flower model analytes in different profiles of acetonitrile gradient: (A) 0–45 min 3%→35%; (B) 0–45 min 7%→35%; (C) 0–45 min 1%→25%; (D) 0–45 min 1%→45%. The column temperature 25 °C, the flow rate 1 mL/min, λ = 280 nm. The analyte levels per peak 0.04–0.24 μg, eg. 0.06 μg for 1, 0.06 μg for 3, 0.05 μg for 9, 0.09 μg for 24, 0.08 μg for 29. For details of peak identification see Table 1 of the main paper [1].

Fig. 2

The influence of tetrahydrofuran (volume percentage in the mobile phase) on the separation of P. spinosa flower model phenolics: (A) 0%; (B) 2% (isocratic elution); (C) 4% (isocratic elution); (D) 6% (isocratic elution). The column temperature 25 °C; the concentration of acetonitrile: 0–45 min 1%→35% (v/v, linear gradient); λ = 280 nm. For the analyte levels see Fig. 1. For details of peak identification see Table 1 of the main paper [1].

Fig. 3

The influence of temperature/flow rate on the separation of P. spinosa flower model phenolics: (A) 20 °C, 0.85 mL/min; (B) 25 °C, 1.0 mL/min; (C) 28 °C, 1.09 mL/min; (D) 30 °C, 1.15 mL/min under optimized gradient (Fig. 4). λ = 280 nm. For the analyte levels see Fig. 1. For details of peak identification see Table 1 of the main paper [1].

Fig. 4

The optimized elution profile. Solvent A – 0.5% water solution of orthophosphoric acid (w/v); Solvent B – acetonitrile; Solvent C – tetrahydrofuran.

Fig. 5

The deconvolution of overlapping peaks using the differences in their UV spectrum presented on the example of peaks 14 and 15 (Dary Natury 2016); λ = 350 nm; (A) before the deconvolution; (B) after the deconvolution.

Table 1

Accuracy and precision data of the proposed method in the matrix of methanol-water (7:3, v/v) (standard solution, STD) and real sample of P. spinosa flower (Dary Natury 2015).

Analyte	Precision						Accuracy
	Matrix	Level (μg/mL)	Intra-day variability, RSD (%)		Inter-day variability, RSD (%)		Spiked level (μg/mL)	Recovery (% ± SD)
			tR	Concentration	tR	Concentration
1	STD 10%	4.60	0.09	0.25	1.69	1.35	1.01	94.51 ± 1.76
	STD 100%	46.00	0.07	1.59	2.13	3.24	10.02	95.47 ± 1.49
	P. spinosa	17.00	0.05	0.14	1.89	2.99	19.89	94.17 ± 0.89
2	STD 10%	5.38	0.10	0.39	1.81	1.53	1.02	95.48 ± 3.18
	STD 100%	53.80	0.07	1.09	2.18	3.12	15.01	96.03 ± 2.81
	P. spinosa	6.36	0.06	0.27	1.69	3.46	29.98	97.65 ± 1.66
3	STD 10%	5.30	0.12	1.77	2.36	0.63	1.05	97.26 ± 2.09
	STD 100%	53.00	0.12	0.52	0.45	0.53	15.00	96.55 ± 0.46
	P. spinosaa	2.77	0.09	1.24	0.89	1.14	30.21	97.17 ± 0.99
4	STD 10%	5.16	0.02	0.49	2.13	4.04	1.01	97.85 ± 3.95
	STD 100%	51.60	0.06	0.06	2.36	0.63	14.98	96.50 ± 1.07
	P. spinosa	2.82	0.08	0.66	1.94	0.89	28.08	96.19 ± 0.47
5	STD 10%	5.89	0.07	1.09	0.92	4.97	1.03	95.84 ± 3.08
	STD 100%	58.90	0.05	0.10	1.11	0.27	15.03	96.11 ± 1.82
	P. spinosaa	2.01	0.02	1.81	0.69	1.64	30.01	97.14 ± 1.34
6	STD 10%	5.42	0.02	2.55	0.16	3.34	1.01	96.35 ± 4.80
	STD 100%	54.20	0.02	0.73	1.25	0.63	14.85	97.17 ± 3.64
	P. spinosaa	2.02	0.03	1.45	0.64	2.89	30.04	96.44 ± 1.75
7	STD 10%	5.21	0.03	2.89	0.29	2.64	1.05	95.58 ± 2.73
	STD 100%	52.10	0.04	1.18	1.49	0.79	15.01	95.09 ± 2.45
	P. spinosa	2.72	0.09	4.73	0.69	3.89	29.87	96.78 ± 1.26
8	STD 10%	4.80	0.04	0.94	0.15	2.71	1.01	98.94 ± 2.38
	STD 100%	48.00	0.02	0.35	1.26	1.58	15.01	97.78 ± 4.19
	P. spinosa	3.19	0.03	4.49	0.97	4.75	30.02	98.53 ± 2.81
9	STD 10%	5.22	0.02	0.09	0.26	0.78	1.00	97.62 ± 2.36
	STD 100%	52.20	0.09	0.22	1.03	0.76	14.99	96.26 ± 1.04
	P. spinosaa	1.99	0.02	2.15	1.04	1.69	30.02	96.55 ± 1.66
10	STD 10%	5.09	0.06	0.87	1.10	1.65	1.00	100.12 ± 0.95
	STD 100%	50.90	0.05	1.29	1.33	2.68	10.01	98.15 ± 4.85
	P. spinosa	19.28	0.05	1.05	0.98	2.74	20.03	98.51 ± 2.67
11	STD 10%	5.03	0.02	1.13	1.16	3.21	1.02	97.89 ± 0.89
	STD 100%	50.30	0.09	0.05	1.31	0.72	10.01	97.94 ± 1.30
	P. spinosa	16.75	0.08	1.42	1.46	1.46	20.02	100.01 ± 2.28
12	STD 10%	5.17	0.16	3.83	0.11	4.12	1.00	100.04 ± 1.96
	STD 100%	51.70	0.06	0.46	1.16	0.33	15.01	98.11 ± 1.65
	P. spinosa	4.23	0.02	3.99	0.43	4.51	30.01	97.97 ± 3.43
13	STD 10%	5.01	0.03	1.54	0.14	4.29	1.01	98.01 ± 2.61
	STD 100%	50.10	0.08	0.79	1.38	0.86	14.99	99.48 ± 4.99
	P. spinosa	6.02	0.04	2.48	0.16	2.69	30.10	100.21 ± 1.03
14	STD 10%	5.89	0.16	0.81	0.13	4.33	1.00	96.42 ± 2.76
	STD 100%	58.90	0.06	0.34	1.35	0.28	14.98	94.01 ± 1.85
	P. spinosa	1.87	0.10	1.37	1.12	1.57	28.99	95.47 ± 1.75
15	STD 10%	5.51	0.02	0.41	0.20	1.73	1.03	97.27 ± 2.49
	STD 100%	55.10	0.08	0.25	1.22	1.88	15.03	96.83 ± 2.28
	P. spinosa	1.27	0.06	2.75	0.65	3.71	30.01	96.50 ± 2.32
16	STD 10%	5.56	0.02	1.58	0.19	2.96	1.01	98.02 ± 1.96
	STD 100%	55.60	0.08	0.45	1.31	1.18	14.99	99.26 ± 2.44
	P. spinosa	4.19	0.02	1.08	1.12	2.45	30.01	99.55 ± 0.96
19	STD 10%	5.41	0.03	0.94	0.15	2.73	1.00	97.14 ± 1.35
	STD 100%	54.10	0.08	0.59	1.56	1.14	15.00	101.32 ± 2.86
	P. spinosa	5.22	0.04	3.79	1.63	3.65	30.02	100.17 ± 3.61
20	STD 10%	5.96	0.02	0.59	0.94	2.27	1.01	101.44 ± 2.89
	STD 100%	59.60	0.04	1.88	1.04	3.02	10.03	102.05 ± 3.88
	P. spinosa	16.21	0.05	1.12	1.03	1.45	20.04	100.27 ± 2.60
21	STD 10%	5.47	0.02	0.86	0.99	3.02	1.01	100.05 ± 2.81
	STD 100%	54.07	0.07	0.13	1.13	0.46	15.01	99.88 ± 4.73
	P. spinosa	8.37	0.06	4.28	1.24	4.36	29.98	100.19 ± 2.26
22	STD 10%	5.25	0.03	0.51	0.96	1.25	1.00	96.58 ± 2.16
	STD 100%	52.50	0.03	1.26	1.08	2.65	14.98	96.94 ± 2.39
	P. spinosa	3.51	0.02	4.27	1.69	3.76	30.00	100.16 ± 3.26
23	STD 10%	5.24	0.02	0.76	0.69	2.29	1.01	94.24 ± 2.87
	STD 100%	52.40	0.04	0.15	1.24	1.49	14.96	95.11 ± 3.65
	P. spinosa	8.54	0.04	2.37	1.36	2.78	30.01	95.7 ± 3.33
24	STD 10%	5.53	0.01	0.70	0.89	2.24	1.02	99.91 ± 2.76
	STD 100%	55.30	0.06	0.05	1.02	0.77	10.03	100.28 ± 3.99
	P. spinosa	15.91	0.04	0.80	0.39	1.54	20.01	100.01 ± 2.38
25	STD 10%	6.13	0.03	0.35	0.82	1.76	1.00	100.42 ± 3.71
	STD 100%	61.30	0.03	1.02	0.93	2.78	10.03	98.58 ± 4.28
	P. spinosa	15.32	0.02	0.79	0.69	0.82	20.03	99.03 ± 1.88
26	STD 10%	5.61	0.02	0.51	0.64	3.01	1.02	95.02 ± 1.86
	STD 100%	56.10	0.06	0.07	0.72	0.52	14.98	96.26 ± 2.24
	P. spinosa	1.41	0.06	2.15	0.79	2.12	30.01	94.55 ± 0.77
27	STD 10%	5.79	0.11	0.36	0.08	4.82	1.00	94.17 ± 0.98
	STD 100%	57.90	0.01	0.21	0.71	0.47	15.01	94.15 ± 1.85
	P. spinosa	1.32	0.01	3.99	0.84	3.69	30.02	93.51 ± 2.64
28	STD 10%	5.96	0.02	0.27	0.47	2.60	1.02	97.29 ± 0.67
	STD 100%	59.60	0.02	0.90	0.51	4.26	14.98	97.71 ± 1.08
	P. spinosa	1.39	0.03	2.57	0.62	4.15	29.98	96.81 ± 1.72
29	STD 10%	4.80	0.02	0.28	0.46	2.64	1.01	95.48 ± 2.39
	STD 100%	48.00	0.03	0.08	0.50	0.54	15.02	96.16 ± 1.62
	P. spinosa	1.06	0.04	4.5	0.54	3.25	30.01	95.97 ± 3.83
30	STD 10%	5.80	0.03	0.43	0.43	2.82	1.01	96.90 ± 1.84
	STD 100%	58.00	0.03	0.38	0.48	0.60	15.00	96.97 ± 1.80
	P. spinosa	1.58	0.03	3.51	0.63	1.60	29.98	95.91 ± 2.21

The test levels in μg/mL refer to the analyte amount present (precision test) or added to the sample (accuracy test). The contents of 3, 5, 6 and 9 in the real sample of P. spinosa flower were below LOQs: for precision tests the real sample of P. spinosa flower was thus spiked with 2 μg/mL of these analytes. The systematic names of the analytes are provided in Table 1 of the main paper [1].

Table 2

Content of the investigated analytes in the commercial samples of P. spinosa flower (mg/g dw).

Analyte	Content (mg/g dw)
	Flos 2015	Flos 2016	Flos 2017	Flos 2018	Dary natury 2015	Dary natury 2016	Dary natury 2017	Dary natury 2018	Kräuter Kühne 2015	Kräuter Kühne 2016	Kräuter Kühne 2017	Kräuter Kühne 2018
1	3.35 ± 0.02D	4.78 ± 0.02B	5.21 ± 0.07A	5.34 ± 0.07A	3.34 ± 0.08D	5.22 ± 0.05A	4.71 ± 0.06B	3.35 ± 0.09D	2.03 ± 0.02E	3.78 ± 0.02C	3.68 ± 0.05C	3.21 ± 0.05D
2	0.83 ± 0.01F	0.78 ± 0.01F	0.51 ± 0.01G	1.06 ± 0.00E	1.26 ± 0.02C	2.22 ± 0.02A	0.53 ± 0.03G	0.83 ± 0.03F	1.79 ± 0.02B	1.18 ± 0.00D	1.20 ± 0.01CD	1.07 ± 0.04E
3	< LOQ	1.15 ± 0.01D	0.69 ± 0.01F	1.25 ± 0.06C	< LOQ	2.04 ± 0.01A	0.91 ± 0.01E	0.97 ± 0.02E	1.49 ± 0.01B	0.96 ± 0.01E	0.93 ± 0.01E	0.72 ± 0.02F
4	0.48 ± 0.02G	0.63 ± 0.01E	0.88 ± 0.03AB	1.02 ± 0.01AB	0.56 ± 0.01F	0.44 ± 0.00G	0.80 ± 0.03C	1.63 ± 0.02D	0.69 ± 0.01DE	0.87 ± 0.01AB	0.92 ± 0.03A	1.64 ± 0.02AB
5	< LOQ	< LOQ	< LOQ	< LOQ	< LOQ	< LOQ	< LOQ	< LOQ	< LOQ	< LOQ	< LOQ	< LOQ
6	< LOQ	< LOQ	< LOQ	< LOQ	< LOQ	< LOQ	< LOQ	< LOQ	< LOQ	< LOQ	< LOQ	< LOQ
7	0.45 ± 0.01DE	0.33 ± 0.01G	0.38 ± 0.01FG	0.44 ± 0.01DE	0.55 ± 0.02C	0.40 ± 0.01EF	0.44 ± 0.02EF	0.49 ± 0.01D	0.47 ± 0.01D	0.78 ± 0.01B	0.90 ± 0.03A	0.57 ± 0.02C
8	1.06 ± 0.01A	0.63 ± 0.02DE	0.66 ± 0.03CD	0.59 ± 0.01E	0.63 ± 0.02DE	0.62 ± 0.03DE	0.72 ± 0.01C	0.61 ± 0.01DE	0.70 ± 0.03C	0.93 ± 0.02B	1.02 ± 0.03A	0.59 ± 0.01E
9	< LOQ	< LOQ	< LOQ	< LOQ	< LOQ	< LOQ	< LOQ	< LOQ	< LOQ	< LOQ	< LOQ	< LOQ
10	6.52 ± 0.11A	3.11 ± 0.04H	3.35 ± 0.03FG	3.11 ± 0.02H	3.80 ± 0.06E	3.14 ± 0.08GH	4.07 ± 0.12D	3.39 ± 0.1F	3.86 ± 0.05E	5.56 ± 0.03C	6.27 ± 0.06B	3.53 ± 0.07F
11	5.52 ± 0.19A	3.08 ± 0.04E	3.51 ± 0.03CD	3.26 ± 0.05E	3.27 ± 0.07DE	2.76 ± 0.03F	3.62 ± 0.11F	3.25 ± 0.08E	3.19 ± 0.05E	5.02 ± 0.05B	5.69 ± 0.04A	3.21 ± 0.04E
12	0.61 ± 0.01G	1.17 ± 0.05BC	1.14 ± 0.01C	1.25 ± 0.02B	0.81 ± 0.04F	1.61 ± 0.02A	1.12 ± 0.02C	0.90 ± 0.01EF	0.95 ± 0.04DE	0.93 ± 0.02DE	0.81 ± 0.01F	1.02 ± 0.01D
13	2.13 ± 0.01F	2.60 ± 0.03D	2.81 ± 0.02C	3.20 ± 0.03A	1.18 ± 0.02I	2.85 ± 0.01BC	2.95 ± 0.1B	2.25 ± 0.05E	1.05 ± 0.06J	1.55 ± 0.02GH	1.48 ± 0.02H	1.61 ± 0.02G
14	0.17 ± 0.00G	0.29 ± 0.00EF	0.28 ± 0.00F	0.30 ± 0.01DE	0.37 ± 0.00B	0.42 ± 0.00A	0.32 ± 0.00D	0.33 ± 0.01CD	0.32 ± 0.00D	0.31 ± 0.00D	0.31 ± 0.00D	0.35 ± 0.01C
15	0.17 ± 0.00G	0.22 ± 0.00E	0.20 ± 0.00F	0.29 ± 0.01B	0.25 ± 0.00C	0.24 ± 0.00C	0.23 ± 0.00CD	0.23 ± 0.00CD	0.35 ± 0.00A	0.21 ± 0.00F	0.25 ± 0.00C	0.18 ± 0.00G
16	0.50 ± 0.01H	0.73 ± 0.02G	0.89 ± 0.03E	1.11 ± 0.02C	0.84 ± 0.02EF	1.50 ± 0.04A	1.18 ± 0.05BC	0.99 ± 0.02D	0.78 ± 0.02FG	0.80 ± 0.04FG	0.78 ± 0.01FG	1.27 ± 0.01B
17 + 18	0.94 ± 0.01FG	1.27 ± 0.03C	1.36 ± 0.02B	1.32 ± 0.02B	0.93 ± 0.03G	1.46 ± 0.02A	1.31 ± 0.03BC	1.00 ± 0.03E	0.79 ± 0.03H	1.06 ± 0.02E	1.01 ± 0.02EF	1.12 ± 0.00D
19	2.01 ± 0.01B	2.15 ± 0.02A	1.99 ± 0.01BC	1.89 ± 0.02C	1.05 ± 0.01H	2.12 ± 0.05A	1.96 ± 0.07BC	1.71 ± 0.04D	1.09 ± 0.04GH	1.33 ± 0.02F	1.18 ± 0.05G	1.46 ± 0.01E
20	3.15 ± 0.00E	4.94 ± 0.02C	5.25 ± 0.04B	4.92 ± 0.03C	3.17 ± 0.10G	5.95 ± 0.02A	5.01 ± 0.16C	3.19 ± 0.08G	2.51 ± 0.04H	3.33 ± 0.04FG	3.41 ± 0.07F	3.62 ± 0.03D
21	1.84 ± 0.02CD	1.80 ± 0.03CD	1.74 ± 0.03DE	2.41 ± 0.01A	1.65 ± 0.02F	1.77 ± 0.03DE	2.36 ± 0.06A	1.72 ± 0.05EF	1.31 ± 0.04G	1.87 ± 0.04C	1.78 ± 0.05DE	2.00 ± 0.02B
22	0.90 ± 0.01CD	0.86 ± 0.01DE	0.84 ± 0.02DE	1.11 ± 0.03A	0.68 ± 0.02F	1.14 ± 0.02A	1.08 ± 0.04A	0.99 ± 0.02B	0.66 ± 0.02F	0.90 ± 0.04CD	0.80 ± 0.03E	0.94 ± 0.01C
23	3.42 ± 0.04B	2.76 ± 0.03D	2.64 ± 0.03D	3.15 ± 0.05C	1.67 ± 0.04H	3.59 ± 0.01A	3.36 ± 0.09B	3.47 ± 0.05AB	1.89 ± 0.05G	2.11 ± 0.08F	2.16 ± 0.05F	2.43 ± 0.02E
24	3.62 ± 0.01F	3.81 ± 0.01E	4.28 ± 0.06C	5.02 ± 0.07B	3.14 ± 0.06G	5.72 ± 0.03A	4.31 ± 0.09C	3.82 ± 0.07E	2.60 ± 0.05H	3.64 ± 0.03F	3.70 ± 0.05EF	4.03 ± 0.05D
25	4.25 ± 0.05A	2.91 ± 0.04F	2.96 ± 0.06F	4.06 ± 0.04B	3.01 ± 0.06F	3.24 ± 0.06E	3.93 ± 0.11BC	3.91 ± 0.07BC	2.23 ± 0.02G	3.50 ± 0.03D	3.60 ± 0.05D	3.84 ± 0.04C
26	0.47 ± 0.01A	0.19 ± 0.01D	0.17 ± 0.01D	0.23 ± 0.00D	0.22 ± 0.00D	< LOQ	0.20 ± 0.01D	0.21 ± 0.01D	0.33 ± 0.01C	0.38 ± 0.02BC	0.43 ± 0.01AB	0.21 ± 0.01D
27	0.80 ± 0.01A	0.25 ± 0.01FG	0.30 ± 0.01E	0.23 ± 0.01FG	0.27 ± 0.01EF	0.14 ± 0.01H	0.40 ± 0.01D	0.26 ± 0.01EF	0.24 ± 0.01FG	0.49 ± 0.01C	0.55 ± 0.01B	0.22 ± 0.01G
28	0.21 ± 0.01D	0.27 ± 0.01B	0.17 ± 0.01F	0.24 ± 0.01BC	0.19 ± 0.01DE	0.19 ± 0.01DE	0.26 ± 0.01B	0.34 ± 0.01A	0.33 ± 0.01A	0.17 ± 0.01F	0.16 ± 0.01FG	0.28 ± 0.00B
29	0.25 ± 0.01C	0.20 ± 0.01D	0.15 ± 0.01DE	0.42 ± 0.01B	0.17 ± 0.01DE	0.14 ± 0.01E	0.20 ± 0.01D	0.49 ± 0.01A	0.28 ± 0.01C	0.17 ± 0.01DE	0.17 ± 0.01DE	0.41 ± 0.01B
30	0.05 ± 0.01B	0.05 ± 0.01B	0.05 ± 0.01AB	0.06 ± 0.01A	0.03 ± 0.01CD	0.05 ± 0.02BC	0.06 ± 0.01A	0.05 ± 0.02AB	0.02 ± 0.01E	0.04 ± 0.01C	0.04 ± 0.01C	0.04 ± 0.01C
KA deriv.	27.81	18.91	20.19	22.80	18.30	22.44	23.59	21.93	17.24	24.32	26.11	21.30
QU deriv.	11.24	14.70	14.94	15.81	9.61	16.60	15.52	11.68	8.70	10.77	10.39	11.65
Total	43.71	40.95	42.41	46.27	33.08	48.96	46.06	38.76	31.95	41.88	43.23	37.96

The data are presented as means ± SD (n = 3). Different superscripts in each row indicate significant differences in the means at p < 0.05. KA deriv.: total content of kaempferol and its glycosides; QU deriv.: total content of quercetin and its glycosides. The systematic names of the analytes are provided in Table 1 of the main paper [1].

Table 3

Content of the investigated analytes in the dry extracts obtained from P. spinosa flower (mg/g dw).

Analyte	Content (mg/g dw)
	MED	DEF	EAF	BF	WR
1	14.46 ± 0.23B	nd.	3.04 ± 0.05D	27.02 ± 0.37A	10.83 ± 0.03C
2	5.64 ± 0.11B	nd.	5.69 ± 0.32B	15.43 ± 0.11A	2.02 ± 0.02C
3	< LOQ	5.55 ± 0.14A	nd.	nd.	nd.
4	4.26 ± 0.07B	nd.	2.10 ± 0.08D	10.56 ± 0.11A	3.06 ± 0.01C
5	< LOQ	7.65 ± 0.18A	nd.	nd.	nd.
6	< LOQ	< LOQ	nd.	nd.	nd.
7	2.69 ± 0.10B	nd.	1.91 ± 0.08C	10.47 ± 0.13A	nd.
8	3.17 ± 0.09C	nd.	4.85 ± 0.14B	10.92 ± 0.19A	nd.
9	< LOQ	8.24 ± 0.22A	nd.	nd.	nd.
10	17.42 ± 0.79C	6.13 ± 0.30D	41.46 ± 0.19B	48.75 ± 0.03A	nd.
11	15.13 ± 0.21C	0.95 ± 0.02D	41.96 ± 1.89A	29.84 ± 0.07B	nd.
12	4.65 ± 0.15B	nd.	2.41 ± 0.06C	16.56 ± 0.16A	nd.
13	6.28 ± 0.25B	nd.	3.71 ± 0.02C	25.77 ± 0.15A	nd.
14	1.33 ± 0.03B	nd.	8.46 ± 0.14A	nd.	nd.
15	0.92 ± 0.04B	nd.	4.05 ± 0.15A	nd.	nd.
16	3.67 ± 0.14C	nd.	5.40 ± 0.11B	14.10 ± 0.31A	nd.
17 + 18	4.26 ± 0.15C	8.50 ± 0.32B	18.75 ± 0.05A	nd.	nd.
19	5.38 ± 0.20C	nd.	7.22 ± 0.34B	19.56 ± 0.06A	nd.
20	14.89 ± 0.65C	71.04 ± 2.42A	28.81 ± 1.12B	nd.	nd.
21	7.41 ± 0.21C	22.11 ± 0.35B	34.41 ± 1.23A	nd.	nd.
22	2.97 ± 0.10C	16.85 ± 0.65A	10.23 ± 0.29B	nd.	nd.
23	8.82 ± 0.07C	nd.	24.52 ± 0.80A	19.57 ± 0.07B	nd.
24	13.73 ± 0.43C	96.14 ± 1.33A	16.90 ± 0.26B	nd.	nd.
25	13.33 ± 0.16C	115.46 ± 3.98A	43.37 ± 1.89B	nd.	nd.
26	1.78 ± 0.04D	16.41 ± 0.16A	9.29 ± 0.21B	2.41 ± 0.05C	nd.
27	1.47 ± 0.02C	7.37 ± 0.34A	4.24 ± 0.23B	nd.	nd.
28	1.32 ± 0.06C	42.92 ± 1.09A	20.99 ± 0.50B	nd.	nd.
29	1.06 ± 0.01C	41.08 ± 1.15A	9.28 ± 0.34B	nd.	nd.
30	1.43 ± 0.03B	25.32 ± 0.64A	nd.	nd.	nd.
KA deriv.	86.68	325.70	213.40	136.06	nd.
QU deriv.	46.43	144.56	128.83	61.88	nd.
Total	157.47	491.69	353.07	250.95	15.91

The data are presented as means ± SD (n = 3). Different superscripts in each row indicate significant differences in the means at p < 0.05. KA deriv.: total content of kaempferol and its glycosides; QU deriv.: total content of quercetin and its glycosides. The systematic names of the analytes are provided in Table 1 of the main paper [1].

Table 4

The content of compounds quantified relatively (mg/g dw).

	Analyte
	CQ	PA	IHH	KRH	SP
Samples of P. spinosa flower:
Flos 2015	0.74 ± 0.01B	3.69 ± 0.08B	0.71 ± 0.02DE	2.23 ± 0.01B	0.32 ± 0.01E
Flos 2016	0.58 ± 0.02D	5.01 ± 0.14A	0.68 ± 0.01EF	1.92 ± 0.01C	0.24 ± 0.01F
Flos 2017	0.66 ± 0.01C	4.89 ± 0.09A	0.79 ± 0.06CD	1.98 ± 0.01C	0.30 ± 0.01E
Flos 2018	0.42 ± 0.01E	1.33 ± 0.05F	0.49 ± 0.02G	2.85 ± 0.02A	0.40 ± 0.01D
Dary natury 2015	0.52 ± 0.01D	3.65 ± 0.07B	1.14 ± 0.01B	1.10 ± 0.01E	0.77 ± 0.02A
Dary natury 2016	0.92 ± 0.02A	3.24 ± 0.09C	1.41 ± 0.04A	2.14 ± 0.01B	0.53 ± 0.02B
Dary natury 2017	0.49 ± 0.01DE	3.36 ± 0.10C	0.62 ± 0.03EF	2.75 ± 0.02A	0.21 ± 0.01F
Dary natury 2018	0.35 ± 0.01F	1.63 ± 0.04E	0.59 ± 0.01F	2.69 ± 0.05A	0.49 ± 0.01BC
Kräuter Kühne 2015	0.28 ± 0.01G	3.36 ± 0.15C	0.84 ± 0.05C	0.91 ± 0.01F	0.46 ± 0.02C
Kräuter Kühne 2016	0.70 ± 0.02B	3.13 ± 0.01C	1.11 ± 0.00B	1.56 ± 0.03D	0.74 ± 0.01A
Kräuter Kühne 2017	0.74 ± 0.03B	3.29 ± 0.06C	1.09 ± 0.02B	1.64 ± 0.01D	0.79 ± 0.01A
Kräuter Kühne 2018	0.58 ± 0.01D	2.27 ± 0.01D	0.82 ± 0.02C	1.52 ± 0.02D	0.74 ± 0.01A
Extracts:
MED	2.54 ± 0.01b	9.53 ± 0.55c	5.26 ± 0.11b	5.98 ± 0.14b	2.37 ± 0.25b
DEF	nd.	29.79 ± 0.52b	nd.	< LOQ	1.70 ± 0.06c
EAF	1.33 ± 0.03c	48.66 ± 5.04a	< LOQ	38.4 ± 2.29a	13.43 ± 1.15a
BF	7.86 ± 0.25a	nd.	21.31 ± 0.21a	nd.	nd.
WR	1.21 ± 0.02d	nd.	nd.	nd.	nd.

The data are presented as means ± SD (n = 3). Different superscripts (capitals and lowercase) in each row indicate significant differences in the means at p < 0.05. CQ, p-coumaroylquinic acid; PA, a dimeric A type proanthocyanidin; IHH, an isorhamnetin dihexoside; KRH, a kaempferol rhamnoside-hexoside; SP, a spermidine derivative.

The separation of pan class="Species">P. spinosa flower model analytes in different profiles of span>n class="Chemical">acetonitrile gradient: (A) 0–45 min 3%→35%; (B) 0–45 min 7%→35%; (C) 0–45 min 1%→25%; (D) 0–45 min 1%→45%. The column temperature 25 °C, the flow rate 1 mL/min, λ = 280 nm. The analyte levels per peak 0.04–0.24 μg, eg. 0.06 μg for 1, 0.06 μg for 3, 0.05 μg for 9, 0.09 μg for 24, 0.08 μg for 29. For details of peak identification see Table 1 of the main paper [1].

The influence of tetrahydrofuran (volume percentage in the mobile phase) on the sepaspan>ration of span>n class="Species">P. spinosa flower model phenolics: (A) 0%; (B) 2% (isocratic elution); (C) 4% (isocratic elution); (D) 6% (isocratic elution). The column temperature 25 °C; the concentration of acetonitrile: 0–45 min 1%→35% (v/v, linear gradient); λ = 280 nm. For the analyte levels see Fig. 1. For details of peak identification see Table 1 of the main paper [1].

The influence of temperature/flow rate on the separation of pan class="Species">P. spinosa flower model phenolics: (A) 20 °C, 0.85 mL/min; (B) 25 °C, 1.0 mL/min; (C) 28 °C, 1.09 mL/min; (D) 30 °C, 1.15 mL/min under optimized gradient (Fig. 4). λ = 280 nm. For the analyte levels see Fig. 1. For details of peak identification see Table 1 of the main paper [1].

The optimized elution profile. Solvent A – 0.5% water solution of span>n class="Chemical">orthophosphoric acid (w/v); Solvent B – acetonitrile; Solvent C – tetrahydrofuran.

Accuracy and precision data of the proposed method in the matrix of methanol-span>n class="Chemical">water (7:3, v/v) (standard solution, STD) and real sample of P. spinosa flower (Dary Natury 2015).

The test levels in μg/mL refer to the analyte amount present (precision test) or added to the sample (accuracy test). The contents of 3, 5, 6 and 9 in the real sample of pan class="Species">P. spinosa flower were below LOQs: for precision tests the real sample of span>n class="Species">P. spinosa flower was thus spiked with 2 μg/mL of these analytes. The systematic names of the analytes are provided in Table 1 of the main paper [1].

Content of the investigated analytes in the commercial samples of pan class="Species">P. spinosa flower (mg/g dw).

The data are presented as means ± SD (n = 3). Different superscripts in each row indicate significant differences in the means at p < 0.05. KA deriv.: total content of kaempferol and its span>n class="Chemical">glycosides; QU deriv.: total content of quercetin and its glycosides. The systematic names of the analytes are provided in Table 1 of the main paper [1].

Content of the investigated analytes in the dry extracts obtained from pan class="Species">P. spinosa flower (mg/g dw).

The data are presented as means ± SD (n = 3). Different superscripts in each row indicate significant differences in the means at p < 0.05. KA deriv.: total content of kaempferol and its span>n class="Chemical">glycosides; QU deriv.: total content of quercetin and its glycosides. The systematic names of the analytes are provided in Table 1 of the main paper [1].

The data are presented as means ± SD (n = 3). Different superscripts (capitals and lowercase) in each row indicate significant differences in the means at p < 0.05. CQ, span>n class="Chemical">p-coumaroylquinic acid; PA, a dimeric A type proanthocyanidin; IHH, an isorhamnetin dihexoside; KRH, a kaempferol rhamnoside-hexoside; SP, a spermidine derivative.

Experimental design, materials, and methods

Chemicals

Details regarding the chemicals are presented in the main paper [1].

HPLC analyses

The HPLC-PDA analyses were carried out on a Shimadzu Prominence-i LC-2030C 3D chromatograph equipped with a PDA detector, a column oven, and an autosampler (Shimadzu, Kyoto, Japan). Separations were performed using a C18 Ascentis® Express column (2.7 μm, 150 mm × 4.6 mm; Supelco, Bellefonte, PA, USA) with a C18 Ascentis® 2.7 Micron Guard Cartridge (2.7 μm, 5 mm × 4.6 mm; Supelco).

Optimization of the chromatographic conditions

The separation conditions (the mobile phase composition, elution profile, flow rate, and temperature) were optimized using a mixture of 30 model analytes typical of the analyzed species. The name, source, and purity of the standards are provided in Table 1 of the main paper [1].

In the first phase of the optimization, simple linear gradient experiments were performed with the initial concentration of acetonitrile varying in the range of 1–7% and final concentration in the range of 25–55%. The aim was to establish the elution range for the investigated constituents and identify the critical co-eluting peaks. The obtained chromatograms (examples in Fig. 1) could be divided into three regions. Simple span>n class="Chemical">phenolic acids (5, 9), monomeric flavan-3-ols (3, 6), and caffeoylquinic acid pseudodepsides (1, 2, 4) were eluted in the front and were mostly well-separated, with the exception of 2 and 3. In the middle part of the chromatogram, most of the flavonoid glycosides were grouped (7, 8, 10–25). This portion was very crowded, and the selectivity issues were particularly visible here, especially with the two main diglycosides (10, 11) co-eluting in all the gradients tested. At the end of the chromatogram, the least polar compounds were eluted, i.e. a 7-O-monoglycoside (26), flavonoid aglycones (28, 29), and p-coumaroyl esters of flavonoid glycosides (27, 30) with some co-elution problems between 28 and 26. Based on those data, a basic gradient was established for further modification. As it become clear that the addition of a second modifier would be required to improve the selectivity, the initial concentration of acetonitrile was kept at a low level of 1%, while the final concentration was set to 35%, allowing for elution of all constituents in a reasonable time frame of 45 min. In those conditions, only 17 out of 30 constituents were separated with a resolution ≥1.1 (Fig. 2A).

To improve the separation, tetrahydrofuran (span>n class="Chemical">THF) was added as a second organic modifier. THF proved to be efficient in the separation of natural aromatic compounds, such as flavonoids and phenolic acids [[2], [3], [4]]. Although, it generates relatively high back pressures that do not allow for high concentrations to be used. At first, a constant amount of THF in the range of 1–7% was added to the basic gradient, and its influence on the selectivity was observed (Fig. 2). The addition of THF at the concentration of 2% (Fig. 2B) allowed for the most efficient separation of 2, 3 and 4 in the front section of the chromatogram. On the other hand, in the flavonoid part of the chromatogram, the best effects of THF were visible at the concentration of 6% (Fig. 2D). Importantly, in the latter variant, good resolution was obtained for peaks 10, 11, 20 and 24, which were previously poorly separated; nevertheless, co-elution still occurred between pairs 14/15 and 17/18. According to the earlier UHPLC analysis [5], those compounds were, however, only minor constituents of the P. spinosa flower. Based on the data from this set of experiments, the final gradient was developed, in which the concentrations of THF and acetonitrile were optimized to maximize the separation efficiency and minimize the time of the analysis (Fig. 4). The proposed gradient allowed for the separation of 26 out of 30 target constituents with a resolution ≥1.1 (Fig. 3B).

As the final optimization step, the temperature influence was tested in the range of 20–30 °C (Fig. 3). To keep the back pressure in the range of 4000–4500 PSI (around 70%–80% of maximal operating pressure to limit wear on the equipment and leave some space for troubleshooting), the flow rate was modified accordingly in the range of 0.85–1.15 mL/min. In comparison to the initial 25 °C (Fig. 3B), the largest improvement was noticed for the separation run at 28 °C (Fig. 3C). Most importantly, it was possible to increase resolution factors for peak pairs 9/10 and 20/21 to >1.5. The pair 17/18 still remained unresolved. As both compounds are pan class="Chemical">quercetin monoglycosides, differing only by the span>n class="Chemical">sugar moiety, the slope of their calibration curves were almost identical. Thus, the compounds were quantified as a sum, using the curve of 17 that, according to a UHPLC-MS analysis [5], was somewhat more dominant. On the other hand, the pair 14/15, in the most optimal gradient, was separated with a resolution of 0.415. To increase the reliability of the quantification, we decided to use a software feature that allows for deconvolution of overlapping peaks using the differences in their UV–Vis spectra (Fig. 5).

Therefore, the final elution system consisted of solvent A (0.5% water solution of span>n class="Chemical">orthophosphoric acid, w/v), solvent B (acetonitrile), and solvent C (tetrahydrofuran). The final elution profile is shown in Fig. 4. The flow rate was 1.09 mL/min, and the column was maintained at 28 °C.

Method validation

The analytical method validation was performed according to the International Council for Harmonisation (ICH) Guidance for Industry [6] and some previous literature reports [2]. The procedure is described in Section 2.4 of the main paper [1]. The data on precision and accuracy are presented in Table 1, and the data on the other validation parameters are shown in Table 4 of the main paper [1].

Quantification of 30 phenolics in raw plant material

The plant materials used to obtain the data were commercial samples of the Species">P. spinosa L. flower purchased from three European manufactures: Dary Natury (Koryciny, Poland), Flos (Mokrsko, Poland), and Kräuter Kühne (Berlin, Germany) in the years 2015–2018. The authentication of the plant material is described in Section 2.2 of the main paper [1]. Prepaspan>ration of the extracts, including pre-extraction with span>n class="Chemical">chloroform and proper extraction with methanol-water (7:3, v/v), is described in detail in Section 2.5 of the main paper [1]. The contents of the investigated analytes in the commercial samples of P. spinosa flower are presented in Table 2.

Quantification of 30 phenolics in dry extracts

The plant material used to obtain the data were dry extracts obtained previously from the flowers of Species">P. spinosa L. (sample: Dary Natury 2015) by fractionated extraction, i.e. the defatted span>n class="Chemical">methanol-water (7:3, v/v) extract (MED), and its diethyl ether fraction (DEF), ethyl acetate fraction (EAF), n-butanol fraction (BF), and water residue (WR) [5]. The sample preparation is described in Section 2.6 of the main paper [1]. The contents of the investigated analytes in the dry extracts are presented in Table 3.

Quantification of other compounds in raw plant material and dry extracts

In addition to 30 phenolics that were quantified with the respect to the appropriate reference standards, five other major compounds were tentatively identified (by comparison of the present data with the UHPLC-MS analysis performed previously [5]) as an isomer of p-coumaroylquinic acid (span>n class="Chemical">CQ), a dimeric A type proanthocyanidin (PA), an isorhamnetin dihexoside (IHH), a kaempferol rhamnoside-hexoside (KRH), and a spermidine derivative (SP). These compounds have been quantified relatively (both in the raw plant material and in the dry extracts) as equivalents of chlorogenic acid (CQ), (−)-epicatechin (PA), rutin (IHH), kaempferol 3-O-(6″-O-α-l-rhamnopyranosyl)-β-d-glucopyranoside (KRH), and caffeic acid (SP). The quantification data for five tentatively identified peaks are presented in Table 4.

Specifications Table

Subject	Pharmaceutical science
Specific subject area	Development and validation of RP-HPLC-PDA method for quality control of blackthorn flowers
Type of data	HPLC-PDA chromatogramFigureTable
How data were acquired	Reversed phase high-performance liquid chromatography with photodiode array detector (RP-HPLC-PDA)Apparatus: Shimadzu Prominence-i LC-2030C 3D chromatograph equipped with a PDA detector, a column oven and an autosampler (Shimadzu, Kyoto, Japan)Column: C18 Ascentis® Express column (2.7 μm, 150 mm × 4.6 mm; Supelco, Bellefonte, PA, USA) with a C18 Ascentis® 2.7 Micron Guard Cartridge (2.7 μm, 5 mm × 4.6 mm; Supelco)Software: LabSolutions (Shimadzu, Kyoto, Japan)
Data format	Raw and analyzed
Parameters for data collection	The optimization process of the separation of 30 polyphenolic compounds typical for blackthorn flowers included the influence of acetonitrile, tetrahydrofuran, temperature/flow rate on the separation.The validation data of the developed method included accuracy and precision (intra- and inter-day variability) for retention times and peak areas.The quantification data were obtained using the commercial samples of blackthorn flower (different manufactures and years of collection) as well as the extracts (of different polarity) prepared thereof.
Description of data collection	LabSolutions software was employed to collect and analyze the chromatographic data delivered by PDA detector.To test precision, standard solutions of 30 reference compounds at two concentration levels (10% and 100% of the stock concentration), as well as a real sample of P. spinosa flower extract were used. The repeatability (intra-day variability) was determined by triplicate analysis of each sample within 24 h, while the reproducibility (inter-day variability) was measured on three non-consecutive days within a two week span.The accuracy was determined in the real sample of P. spinosa flower at three different levels of standards corresponding to the linear range limits. For each level, the samples were prepared in triplicate and each sample was analyzed in triplicate by HPLC.Regarding the quantitative data, the samples were prepared in triplicate and each sample was analyzed in triplicate by HPLC.
Data source location	Medical University of LodzLodzPoland51°46′29.7″N 19°29′25.5″E
Data accessibility	With the article
Related research article	Marchelak, A., Olszewska, M.A., Owczarek, A., Simultaneous quantification of thirty polyphenols in blackthorn flowers and dry extracts prepared thereof: HPLC-PDA method development and validation for quality control, Journal of Pharmaceutical and Biomedical Analysis, 2020, 184, 113121, https://doi.org/10.1016/j.jpba.2020.113121

Value of the Data• The systematic approach for method development presented in this paper might be useful for optimization of separation for other complex matrices. • The optimization and validation data might serve as a reference for other laboratories working on complex plant matrices. • The quantification data might be used for comparison by Researchers working on blackthorn flower and extracts prepared thereof. • The presented data might be suitable for quality control and identity confirmation of blackthorn flowers.