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. 2014 May 21;19(5):6474–6488. doi: 10.3390/molecules19056474

Capsaicin and Dihydrocapsaicin Determination in Chili Pepper Genotypes Using Ultra-Fast Liquid Chromatography

Magaji G Usman 1, Mohd Y Rafii 1,2,*, Mohd R Ismail 1,2, Md Abdul Malek 2,3, Mohammad Abdul Latif 1,4
PMCID: PMC6271280  PMID: 24853712

Abstract

Research was carried out to estimate the levels of capsaicin and dihydrocapsaicin that may be found in some heat tolerant chili pepper genotypes and to determine the degree of pungency as well as percentage capsaicin content of each of the analyzed peppers. A sensitive, precise, and specific ultra fast liquid chromatographic (UFLC) system was used for the separation, identification and quantitation of the capsaicinoids and the extraction solvent was acetonitrile. The method validation parameters, including linearity, precision, accuracy and recovery, yielded good results. Thus, the limit of detection was 0.045 µg/kg and 0.151 µg/kg for capsaicin and dihydrocapsaicin, respectively, whereas the limit of quantitation was 0.11 µg/kg and 0.368 µg/kg for capsaicin and dihydrocapsaicin. The calibration graph was linear from 0.05 to 0.50 µg/g for UFLC analysis. The inter- and intra-day precisions (relative standard deviation) were <5.0% for capsaicin and <9.9% for dihydrocapsaicin while the average recoveries obtained were quantitative (89.4%–90.1% for capsaicin, 92.4%–95.2% for dihydrocapsaicin), indicating good accuracy of the UFLC method. AVPP0705, AVPP0506, AVPP0104, AVPP0002, C05573 and AVPP0805 showed the highest concentration of capsaicin (12,776, 5,828, 4,393, 4,760, 3,764 and 4,120 µg/kg) and the highest pungency level, whereas AVPP9703, AVPP0512, AVPP0307, AVPP0803 and AVPP0102 recorded no detection of capsaicin and hence were non-pungent. All chili peppers studied except AVPP9703, AVPP0512, AVPP0307, AVPP0803 and AVPP0102 could serve as potential sources of capsaicin. On the other hand, only genotypes AVPP0506, AVPP0104, AVPP0002, C05573 and AVPP0805 gave a % capsaicin content that falls within the pungency limit that could make them recommendable as potential sources of capsaicin for the pharmaceutical industry.

Keywords: capsaicin, dihydrocapsaicin, ultra-fast liquid chromatography, chili pepper, Scoville heat units

1. Introduction

Chili pepper, which belongs to the genus Capsicum contains capsaicinoids, alkaloid compounds that produce the pungency associated with eating chilies [1]. The two major capsaicinoids are capsaicin (N-[(4-hydroxy-3-methoxypheny) methyl]-8-methyl-E-6-nonenamide) and dihydrocapsaicin (N-[(4-hydroxy-3-methoxyphenyl)methyl]-8-methyl-6-nonanamide) which comprise over 90% of the total present in the fruit [2] (Figure 1). Capsaicin is a flavourless, odourless and colourless compound found in varying amounts in peppers. Capsaicinoids are only found in the Capsicum genus and are bioactive molecules currently relevant in medical and food sciences [3,4,5] as well as in the defense weapon industry [6]. Capsaicinoids occur in the placental tissue of pepper fruits [7], and their biosynthesis depends on a complex and still not fully characterized enzymatic pathway.

Figure 1.

Figure 1

Structures of capsaicin (top) and dihydrocapsaicin (bottom).

Capsaicin is the active element in pepper, which accounts for its prominent pharmaceutical and antioxidant properties. Research has shown that the more the capsaicin, the hotter the pepper, and the higher the antioxidant level. It is the principal pungent and irritating constituent of hot peppers that produce the pungency associated with the eating of chilies. Capsaicin and other capsaicinoids produce a number of physiological and pharmacological effects on the cardiovascular system and gastro-intestinal track [8,9,10,11,12]. Capsaicin in peppers has been shown to slightly control appetite – at least briefly. It has also been reported to raise the body temperature [9]. That warming effect may have another benefit that may help with weight loss. The temperature at which chili peppers are grown, the position of the fruit on the plant, age of the plant and light intensity are all factors affecting the total amount of capsaicin in a given chili pepper variety. Capsaicinoid levels depend on the genotype [13] and also change during fruit development [14,15,16]. Moreover, environmental and nutritional conditions occurring during the cultivation of peppers can affect the capsaicinoid content. For instance, significant differences in pungency were found in double-haploid chili plants grown in five different plots of the same field [17], and the total capsaicinoid content in “Padrón” pepper fruits developed in summer was found to be larger than in those fruits developed in autumn [18].

The large variability in capsaicinoid content found naturally in pepper genotypes is a critical point in breeding and production. For instance, capsaicin and dihydrocapsaicin contents ranged from 2 to 6,639 mg/kg in eight different pepper genotypes [19]. Therefore, there is a requirement for analytical techniques able to determine very low amounts of capsaicinoids. These techniques should also be capable of determining amounts of the different capsaicinoid molecules, which have very similar chemical structures. These requirements are met by HPLC-MS (mass spectrometry) techniques, which have a high selectivity and sensitivity and have been used for the determination of capsaicinoids in forensic, medical, and food sciences [19,20,21,22].

The first method developed for the measurement of chili pungency was the Scoville Organoleptic Test [23]. A group of five testers assess a water-diluted chili sample and then records the hot flavor level. Serial dilution of the sample is necessary to make the pungency undetectable. A number is assigned to each hot pepper according to the dilution test and expressed it as a scale called the Scoville Organoleptic Scale assigned by Pharmacist Wilbur Scoville [23]. The heat levels vary widely from 0–500,000 Scoville heat units (SHU). They are classified as:

  • -

    (0–700 SHU) non-pungent

  • -

    (700–3,000 SHU) mildly pungent

  • -

    (25, 000–70,000 SHU) highly pungent

  • -

    (3,000–25,000 SHU) moderately pungent

  • -

    (>80,000 SHU) very highly pungent [24]

However, the traditional method has been replaced by a number of instrumental methods such as Gas chromatography (GC), Gas Chromatography-Mass Spectrometry (GC-MS) and high performance liquid chromatography (HPLC) which are more reliable and accurate. Researchers need reliable, safe and standard methods that could be useful for comparing pungency levels among different samples or genotypes of chili. In this research Ultra Fast Liquid Chromatography (UFLC) was used, which is faster and simpler than conventional HPLC. The transition from LC to ultra fast LC reduces some of the limitations normally associated with LC. With HPLC, when analyzing multiple samples, each of which takes a long time to complete, the need to conduct re-analysis for whatever reason can result in product delays. However, with ultra fast liquid chromatography, an ultra high speed analysis could be achieved. This means of shortening of the time required to complete the analysis, thereby reducing the risks associated with time-sensitive analyses. This research also aims at estimating the levels of capsaicin and dihydrocapsaicin that may be found in some heat tolerant pepper varieties and to determine the degree of pungency as well as percentage of capsaicins of each of the analyzed peppers which could be used in pharmaceuticals.

2. Results and Discussion

2.1. Optimization of UFLC Separation Condition

The chromatographic conditions used were optimized with the aim of obtaining the separation with of adjacent peaks with good resolution within a short analysis time. A binary mixture of 1% acetic acid (aq)—acetonitrile was used as described by the AOAC [25] official method. Under the optimal isocratic conditions, both capsaicin (retention time 7.665 min) and dihydrocapsaicin (retention time 10.989 min) were separated within 15 min (Figure 2). Since the molecular structures of both capsaicin and dihydrocapsaicin are very similar, the maximum absorption wavelengths determined by PDA are also nearly the same and found to be 280.8 and 279.6 nm. The PDA using Shimadzu LC solution software detects the absorbance at the chosen wavelengths of the capsaicinoids and simultaneously provides their absorption spectra. Identification of compounds was achieved by retention time and absorption spectrum of standard and sample. However, both compounds were detected with PDA at 280 nm.

Figure 2.

Figure 2

Chromatogram of capsaicin and dihydrocapsaicin (0.50 µg/g) using UV detection at 280 nm.

2.2. Method Validation

The validation and verification of the UFLC method was carried out according to international guidelines for validation of the Food and Drug Administration (FDA) and National Association of Testing Authorities (NATA):

Linearity The linearity was found to be in the range of 0.05 to 0.50 µg/g for both compounds. Standard solutions were prepared from a stock solution of capsaicin and dihydrocapsaicin using six serial dilutions at 0.50, 0.40, 0.30, 0.20, 0.10 and 0.5 µg/g (acceptable by NATA). Each solution was injected three times and the average values of the triplicate analysis were presented in Table 1. The standard solutions were run on the ultra high performance liquid chromatography and the standard curves were generated by plotting peak area against concentration. The external calibration curves (Supplementary Data) were found at r2 = 0.9999 for capsaicin and r2 = 0.9996 for dihydrocapsaicin. The values of r2 were highly significant confirming the good linearity of the method. The regression line equations were:

Y = 18419x + 188.83 (capsaicins); Y = 15797x + 148.72 (dihydrocapsaicins) (1)

Table 1.

Calibration data of the UFLC method for the determination of capsaicinoids (µg/g).

Capsaicinoids Linear Range R2 Ret. Time Average Peak Area SD % RSD
Capsaicin 0.05–0.50 0.9999 7.665 4947.1 27.7 0.56
Dihydrocapsaicin 0.05–0.50 0.9996 10.989 4229.6 58.1 1.37

n = 3.

The y-intercept means that when the concentration (x) = 0, then the peak areas of capsaicin and dihydrocapsaicin would be 189 and 149, respectively. The lowest measured values in this investigation for capsaicin and dihydrocapsaicin were 1,106 and 949 respectively, which are already five times the y-intercepts. This showed that all other values would be reliable. However, in this context, y-intercepts are not relevant, since at 0 µg/g of capsaicins and dihydrocapsaicins no peak area would be detected.

To check for the significant intercepts, we calculated percentage of y-intercept by dividing its value by the response of the 100% concentration response, multiplied by 100. We obtained values within ±2.0% both for capsaicin and dihydrocapsaicin, which are associated to the correlation coefficient which were more or equal to 0.999; we therefore considered that the standard curves are linear. For capsaicin, 100% concentration response was 9,392 (y-intercept 2.0%) and for dihydrocapsaicin it was 8,097 (y-intercept 1.8%). These limits are acceptable by the international guidelines for validation of the FDA.

Expected and actual concentration responses were plotted against expected concentrations (0.5, 0.25, 0.125 and 0.0625 µg/g) using four dilution factors (0, 2, 4 and 8). They both gave an equation (y = bx). The expected stock dilutions are more concentrated than the actual concentration dilutions which indicated that the dilutions are the concentrations expected (see Supplementary Data).

Limit of Detection (LOD) and Limit of Quantitation (LOQ) The method was validated by evaluating limit of detection (LOD) and limit of quantitation (LOQ) for both capsaicinoids. LOD and LOQ were estimated at an SD/b ratio of 3 and 10, where SD and b stand for the standard deviation of the slope and intercept of the regression line, respectively. The limit of detection (LOD) was 0.045 µg/kg and 0.151 µg/kg for capsaicin and dihydrocapsaicin, respectively. The limit of quantitation (LOQ) was 0.110 µg/kg and 0.368 µg/kg for capsaicin and dihydrocapsaicin, respectively.

Reproducibility An inter-day reproducibility (n = 30; acceptable by FDA and NATA) test was performed on capsaicin and dihydrocapsaicin for the UFLC method using four different chili pepper genotypes. The average relative standard deviations of the 30 replicate analysis of the inter-day reproducibility were represented in Table 2. This showed that the UFLC method is highly reproducible.

Table 2.

Inter-day reproducibility data of the UFLC method for the determination of capsaicinoids in pepper (µg/kg).

AVPP0705 AVPP0002 AVPP0805 C05573
No. Sample Cap Dihy Cap Dihy Cap Dihy Cap Dihy
1 1908 (1) 711 768 486 492 420 476 358
2 1868 690 811 485 502 433 466 360
3 1798 750 798 501 472 390 456 371
4 1867 701 779 499 501 387 500 350
5 1902 699 700 512 512 417 467 351
6 1998 680 801 501 511 401 480 354
7 1798 712 822 512 499 413 456 348
8 1811 718 783 493 518 429 489 359
9 1798 675 814 524 522 410 480 366
10 1928 700 780 505 498 386 457 379
11 1788 690 764 516 519 427 470 367
12 1901 721 817 507 510 388 469 346
13 1691 710 818 498 486 427 498 379
14 1800 724 808 509 532 430 481 380
15 1860 691 802 481 520 379 465 356
16 2198 736 821 521 472 424 488 345
17 1998 722 729 462 494 378 487 361
18 1878 716 813 481 514 415 497 344
19 1754 702 794 474 512 411 476 368
20 1791 683 765 535 508 402 486 376
21 1802 724 816 506 519 378 472 358
22 1855 731 807 527 481 367 459 364
23 1868 734 818 508 496 432 469 361
24 1801 745 799 487 477 421 480 357
25 1831 728 840 520 462 389 490 383
26 1808 767 788 491 530 398 487 377
27 1798 771 801 522 505 435 477 354
28 1818 747 810 502 528 426 485 362
29 1899 789 824 524 497 419 491 391
30 1861 724 775 515 474 399 475 365
Mean 1855.44 719.71 795.50 503.47 502.10 407.70 477.63 363.00
SD 92.37 27.50 29.31 17.29 18.76 19.45 12.53 11.99
RSD% 4.98 3.82 3.68 3.43 3.74 4.77 2.62 3.30

(1) Values represent the mean of five replicate analysis; SD, standard deviation; RSD, relative standard deviation; Cap, capsaicin; Dihy, dihydrocapsaicin; n = 30.

Repeatability An intra-day repeatability (n = 30) test was performed on capsaicin and dihydrocapsaicin for the UFLC method using four different chili pepper genotypes. The average relative standard deviations of the 30 replicate analysis of the intra-day repeatability were represented in Table 3. The result shows that the method is highly repeatable.

Table 3.

Intra-day repeatability data of the UFLC method for the determination of capsaicinoids inpepper (μg/kg).

AVPP0705 AVPP0002 AVPP0805 C05573
No. Sample Cap Dihy Cap Dihy Cap Dihy Cap Dihy
1 1778 (1) 794 677 411 481 389 386 288
2 1801 789 687 401 488 367 381 298
3 1798 777 666 409 498 380 388 290
4 1890 698 657 418 468 381 387 295
5 1870 650 689 399 470 385 370 280
6 1786 699 670 389 484 379 377 279
7 1832 730 697 388 479 370 376 281
8 1799 786 678 390 480 377 369 286
9 1875 756 680 400 485 384 380 291
10 1800 790 681 412 489 386 383 278
11 1776 769 699 408 500 378 379 299
12 1854 798 657 403 496 390 385 296
13 1831 766 673 398 477 391 397 285
14 1876 801 674 405 465 394 390 294
15 1894 799 660 410 478 387 389 284
16 1799 800 664 409 473 369 375 287
17 1876 811 675 420 476 388 367 287
18 1865 737 674 419 483 376 378 284
19 1745 788 679 396 454 395 394 280
20 1789 776 672 386 495 385 392 283
21 1699 781 669 397 475 380 386 278
22 1855 787 681 408 476 382 374 289
23 1866 780 679 415 476 375 384 300
24 1886 769 665 414 497 367 382 276
25 1876 770 671 402 469 366 372 288
26 1856 779 677 412 472 387 378 277
27 1767 784 686 397 486 386 379 286
28 1803 793 676 386 465 388 383 281
29 1896 764 654 399 490 374 371 284
30 1876 813 649 407 477 385 369 273
Mean 1830.5 771.13 673.9 403.6 480.1 381.4 380.7 285.9
SD 50.76 36.13 11.76 9.83 11.03 8.11 7.87 7.16
RSD% 2.77 4.69 1.75 2.44 2.30 2.13 2.07 2.50

(1) Values represent the mean of five replicate analysis; SD, standard deviation; RSD, relative standard deviation; Cap, capsaicin; Dihy, dihydrocapsaicin; n = 30.

Precision and accuracy Intra-day and inter-day precision data of the UFLC method were given in Table 4, indicating that the relative standard deviations are better than 5.0% for capsaicin and 9.9% for dihydrocapsaicin. Recovery experiments were performed using the standard addition method in order to study the accuracy of the UFLC method. The recovery of the added standard to the assay samples was calculated according to [26]:

Percentage recovery % = [(Ct − Cu)/Ca] × 100 (2)

where Ct is the total concentration of the analyte found, Cu is the concentration of the present analyte in the original AVPP0705, and Ca is the concentration of the pure analyte added to the original AVPP0705. The results were given in Table 4. The average recoveries obtained were quantitative (89.4%–90.1% for capsaicin, 92.4%–95.2% for dihydrocapsaicin), indicating good accuracy of the UFLC method.

Table 4.

Precision and accuracy data of the UFLC for the determination of capsaicinoids in AVPP0705.

Component (1) Spiked amount (µg/kg) Intra-day (%) Inter day (%) Recovery (%)
Capsaicin 1302 2.07 5.01 90.1
3009 4.81 3.27 89.4
Dihydrocapsaicin 807.6 5.81 9.89 95.2
3541 5.00 4.63 92.4

(1) Sample weight approximately 3.0 g; Concentration of capsaicin and dihydrocapsaicin in the initial sample was 13,076 and 7,155 µg/kg, respectively; n = 3.

2.3. Analysis of Capsaicinoids in Samples

The high-speed analysis of the UFLC method was considered as providing good-efficiency analysis and to be environmentally friendly. The UFLC method was applied to determine the content of capsaicin and dihydrocapsaicin contents of twenty-one pepper genotypes and their corresponding pungency levels. The chromatograms attached (supplementary data) correspond to an extracted solution of some genotypes. From the chromatograms obtained from the studied chili peppers, the main peaks of interest identified among the capsaicinoids were capsaicin and dihydrocapsaicin. The UV absorption spectra corresponding to capsaicin and dihydrocapsaicin peaks were obtained from the photo diode array detector (PDA). The ultraviolet detection wavelength was set at 280 nm for all the capsaicinoids, because it is the maximum absorbance for both capsaicinoids. The chromatogram showed a complete separation between the two elements (capsaicin and dihydrocapsaicin) and no interference with other capsaicinoid peaks. The capsaicinoid contents are calculated and presented in Figure 3. The amount of capsaicin and dihydrocapsaicin from the chili pepper samples were found to differ significantly (p > 0.05). It ranged from 0–13,076 µg/kg and 0–7,155 µg/kg for both capsaicin and dihydrocapsaicin, respectively, as shown in Table 5. Genotype AVPP0705 was found to record the highest capsaicin content and was the highest in pungency which was significantly (p > 0.05) higher than all the other samples tested. Genotypes AVPP9703, AVPP0512, AVPP0307, AVPP0803 and AVPP0102 were found to record no capsaicin and therefore be non-pungent. Similar variation in capsaicin content of different peppers has been previously reported [27,28,29].

Figure 3.

Figure 3

Capsaicin and dihydrocapsaicin obtained using acetonitrile as extraction solvent.

Table 5.

The capsaicinoids content of the twenty-one chilli pepper genotype samples (µg/kg).

Genotypes Capsaicin Dihydrocapsaicin Total Capsaicinoids
AVPP0705 13076 7155 20231
AVPP0506 5945 2999 8944
AVPP0104 4283 4698 8981
AVPP0002 4945 4346 9291
C05573 2989 4280 7269
AVPP0805 4230 3340 7570
AVPP9905 2054 2218 4272
AVPP0904 2012 1613 3625
AVPP0514 2468 1470 3938
AVPP9805 1248 1568 2816
AVPP0702 1524 850 2374
KULAI 799 606 1405
AVPP0513 892 553 1445
AVPP0116 299 246 545
AVPP0804 191 ND 191
AVPP0201 186 ND 186
AVPP9703 ND ND ND
AVPP0512 ND ND ND
AVPP0307 ND ND ND
AVPP0803 ND ND ND
AVPP0102 ND ND ND

n = 2.

For all the chili pepper samples, the correlation between Scoville heat unit (SHU) and the two capsaicinoids obtained was calculated as shown in Table 5 and Table 6 by using the relationship between this content (µg/kg) and its SHU rating of approximately 15 SHU equivalents to 10 µg/kg of capsaicinoids [30]. Therefore, their corresponding SHU were found in the range of 0-237,245 SHU. From these results, it is indicated that capsaicin and dihydrocapsaicin were primarily responsible for the SHU rating. Thus, the chili sample AVPP0705 gave quite a high SHU related with its higher content of the capsaicinoids. Therefore, total yields of capsaicinoids in these chili peppers ranged from 0–20,231 µg/kg. In addition, capsaicin and dihydrocapsaicin have the same trend in contents of the capsaicinoids, and in particular capsaicin was found in higher contents than dihydrocapsaicin in all samples studied except C05573, AVPP9905 and AVPP9805. Genotypes were classified into five different classes viz: very highly pungent, highly pungent, moderately pungent, mildly pungent and non-pungent as shown in Table 6. AVPP0705 recorded the highest while AVPP9703, AVPP0512, AVPP0307, AVPP0803 and AVPP0102 were recorded as non-pungent.

Table 6.

The % capsaicin content, Scoville heat units, and degree of pungency of twenty-one chilli pepper genotype samples (dry weight).

Genotypes % Capsaicin Content Scoville Heat Unit Degree of Pungency
AVPP0705 1.49 237245 very highly pungent
AVPP0506 0.66 104888 very highly pungent
AVPP0104 0.69 110796 very highly pungent
AVPP0002 0.65 104678 very highly pungent
C05573 0.57 91097 very highly pungent
AVPP0805 0.56 88906 very highly pungent
AVPP9905 0.30 47946 highly pungent
AVPP0904 0.30 47372 highly pungent
AVPP0514 0.28 44259 highly pungent
AVPP9805 0.22 35769 highly pungent
AVPP0702 0.14 22146 moderately pungent
KULAI 0.13 20564 moderately pungent
AVPP0513 0.13 20566 moderately pungent
AVPP0116 0.04 7170 moderately pungent
AVPP0804 0.02 2767 mildly pungent
AVPP0201 0.02 3020 mildly pungent
AVPP9703 0 0 non-pungent
AVPP0512 0 0 non-pungent
AVPP0307 0 0 non-pungent
AVPP0803 0 0 non-pungent
AVPP0102 0 0 non-pungent

n = 2.

2.4. Percentage Capsaicin Content

The number of SHUs of the pepper in isolation is not the critical factor. The most important factor is the capsaicin content. All peppers used in this study, fall outside the pungency limit (0.5%–0.9%) presented by the BPC (British Pharmaceutical Codex) [31] except AVPP0506, AVPP0104, AVPP0002, C05573 and AVPP0805 that fall within the pungency limit (Table 6), hence could be recommended for oleoresin production, which is used in the formulation of certain pharmaceuticals. Despite the fact that AVPP0705 gave the highest capsaicin content, it would not be recommended for pharmaceutical Industry because the percentage capsaicin content is high (1.5%) as there have been no proof it is safe for human use [32,33]. Therefore, on the basis of capsaicin content, only AVPP0506, AVPP0104, AVPP0002, C05573 and AVPP0805 can serve as potential sources of capsaicin for use in the pharmaceutical industry.

3. Experimental

3.1. Instrument and Apparatus

Ultra-fast liquid chromatography was carried out using a Shimadzu Ultra XR (LC- 20AD × R) system (Columbia, SC, USA) equipped with a SPD-M20A prominence Diode Array detector, SK- 20A × R auto sampler and CTO- 20A column oven. Detection was conducting using a UV absorption detector. Identification of capsaicinoids was achieved through comparison of retention times of each capsaicinoids of the chilli samples with those of standard compounds.

3.2. UFLC Analytical Conditions

  • Column: Purospher® STAR RP-18 e (150 mm × 4.6 mm × 5 µm)

  • Mobile phase: 1.0% Acetic Acid aq./Acetonitrile = 1/1 (v/v)

  • Flow rate: 1.2 mL

  • Column Temp: 30 °C

  • Detection: SPD-M20 A at 280 nm

  • Injection Vol.: 2 µL

  • Data acquisition time: Sampling = 6.25 Hz; Time constant = 0.160 s

3.3. Samples

Twenty one genotypes of chili pepper seeds were collected from AVRDC, Taiwan, and grown under heat condition (Table 7). Whole ripe fruits were harvested and dried for capsaicinoid extraction and analysis. The extraction of capsaicin from the chili pepper samples was done using the method described by [1] and capsaicinoids levels were analyzed using ultra fast liquid chromatography. A sample for assay consisted of 5–8 fruits depending on the size of the chili fruit. The extraction and quantitation was carried out in duplicate for each genotype. The fruits were oven-dried at 60 °C 2–5 days (depending on the fruit size), grounded using laboratory mill. The grounded samples were stored in sealed plastic bags at 20 °C until processed.

Table 7.

Genotypes and their degree of heat tolerance.

Genotypes Degree of tolerance *
AVPP0705 Tolerant
AVPP0506 Tolerant
AVPP0104 Moderately Tolerant
AVPP0002 Sensitive
C05573 Tolerant
AVPP0805 Tolerant
AVPP9905 Tolerant
AVPP0904 Tolerant
AVPP0514 Tolerant
AVPP9805 Tolerant
AVPP0702 Tolerant
KULAI Moderately Tolerant
AVPP0513 Tolerant
AVPP0116 Tolerant
AVPP0804 Tolerant
AVPP0201 Tolerant
AVPP9703 Sensitive
AVPP0512 Tolerant
AVPP0307 Tolerant
AVPP0803 Tolerant
AVPP0102 Moderately Tolerant

* Data not shown.

3.4. Reagents

Analytical grade acetonitrile (99.9%) and methanol (100%) were purchased from Sigma-Aldrich (St. Louis, MO, USA). Glacial acetic acid (99.8%) was from R & M Marketing (Essex, UK). Capsaicin (>95%) and dihydrocapsaicin (~90%) were purchased from Sigma-Aldrich (St. Louis, MO, USA). Stock solution of each capsaicinoids to be determined was prepared by weighing accurately 50 mg and dissolving each compound in 100% methanol. These solutions were stored at 4 °C and used for the preparation of diluted standard solution in methanol.

3.5. Extraction of Capsaicinoids

For the capsaicinoid extraction, a 1:10 (g/mL) ratio of dried chili powder to acetonitrile was placed in 120 mL glass bottles. Bottles were capped and placed in an 80 °C water bath for 4 h; they were swirled manually every hour. Samples were removed from the water bath and cooled to room temperature. Two to 3 mL of supernatant was extracted and filtered (0.45 µm filter on a 5-mL disposable syringe) into a 2-mL glass sample vial, capped and stored at 4 °C until analyses [1]. A 2 µL aliquot was used for each UFLC injection. For each variety, extraction and analysis was carried out in duplicate.

3.6. Conversion to Scoville Heat Units (SHU)

Scoville Heat Units was used to calculate the heat for all samples. Scoville Heat Units are calculated in parts per million of heat (ppmH) based on sample dry weight according to the following formula [32]:

ppmH = [Peak area of capsaicin + (0.82) (peak area of dihydrocapsaicin)] (ppm standard)
(mL acetonitrile)/(Total capsaicin peak area of standard) (g sample)
(3)

Conversion to Scoville Heat Units was made by multiplying ppmH by a factor of 15.

3.7. Percentage Capsaicin Content

The determination of capsaicin content was performed according to the method described by [33]:

A divided by B times the percentage of pepper = capsaicin Content (4)

where A = Scoville Heat Units claimed, B = 16 Million SHUs which is the rating for 100% pure capsaicin and % Pepper = percentage of pepper claimed

3.8. Statistical Analysis

ANOVA for the capsaicin, dihydrocapsaicin, and total capsaicinoid content data for the genotypes was carried out according to the general linear model (GLM), using the SAS software package version 9.2 (SAS Institute Inc., Cary, NC, USA). Means were compared using the LSD test. To estimate the suitability of the qualitative analysis to distinguish degrees of pungency, ANOVA of capsaicin, dihydrocapsaicin, and total capsaicinoid content data for the qualitative categories was carried out. Means were compared using Duncan’s and LSD test.

4. Conclusions

The results from this experiment showed that the UFLC method can be applicable to the chili pepper variety, demonstrating excellent separation without hindrance of any interference. AVPP0705, AVPP0506, AVPP0104, AVPP0002, C05573 and AVPP0805 are the most pungent genotypes among the peppers studied. A few genotypes AVPP9703, AVPP0512, AVPP0307, AVPP0803 and AVPP0102 that recorded 0 SHU (non-detect) where found to be non-pungent. Others fall between moderately and mildly pungent genotypes. This shows that, with exception of AVPP9703, AVPP0512, AVPP0307, AVPP0803 and AVPP0102, all pepper genotypes studied can serve as potential sources of capsaicin. On the other hand, only genotypes AVPP0506, AVPP0104, AVPP0002, C05573 and AVPP0805 would be recommended as potential source of capsaicin for the pharmaceutical industries.

Acknowledgments

The authors are grateful to the Ministry of Education, Malaysia for adequate funding of the research through the Fundamental Research Grant Scheme (FRGS/1/2012/STWN03/UPM/02/2: 07-01-13-1240FR). Also, we are grateful to Haris Ahmad who helped run the UFLC system and with the data analysis.

Supplementary Materials

Supplementary materials can be accessed at: http://www.mdpi.com/1420-3049/19/5/6474/s1.

Author Contributions

All authors contributed equally to this work.

Conflicts of Interest

The authors declare no conflict of interest.

Footnotes

Sample Availability: Samples of the compounds are available from the authors.

References

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