Red Light Exposure Delays Appearance and Aroma Deterioration of Fresh-Cut Watermelon during Retail Display

Shi, Yue; Wang, Yubin; Ma, Yue; Xu, Yong; Zhao, Xiaoyan; Zhang, Chao

doi:https://doi.org/10.1155/2020/1840648

Journal of Food Quality

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Abstract Introduction Materials and Methods Results and Discussion Conclusion Data Availability Conflicts of Interest Acknowledgments References Copyright Related Articles

Research Article | Open Access

Volume 2020 | Article ID 1840648 | https://doi.org/10.1155/2020/1840648

Red Light Exposure Delays Appearance and Aroma Deterioration of Fresh-Cut Watermelon during Retail Display

Yue Shi,^1,2Yubin Wang,^1,3Yue Ma,^2,3Yong Xu,^1,4Xiaoyan Zhao,^1,3and Chao Zhang^1,2

Academic Editor: Alejandro Hernández

Received30 Mar 2020

Revised28 Jun 2020

Accepted16 Nov 2020

Published01 Dec 2020

Abstract

Appearance and aroma deterioration are the main concerns during the retail display of fresh-cut watermelons. Here, fresh-cut watermelons were exposed to the red, green, blue, and conventional white light at 4°C for 4 days, respectively, and their resulting qualities were compared with the conventional white light as the control. Specifically, the red light presented its maximum emissions in 620–650 nm with a purity of 100% and an intensity of 1104.7 lux. The red light exposure reduced the weight loss to 1.81%, which was reduced by 51.1% of the control. The red light exposure reduced the color difference of the fruit surface significantly as well as maintaining its redness. The water-soaking ratio of the red light exposure was also reduced by 62.8% of the control. Moreover, the red light exposure delayed the aroma deterioration, which resulted from both microbial metabolism and the self-metabolism of volatiles of the fresh-cut watermelon. In summary, the red light exposure was better to delay the appearance and aroma deterioration of fresh-cut watermelons than the conventional white light during their retail display.

1. Introduction

Fresh-cut watermelon is appreciated all over the world due to its crisp texture and refreshing aroma [1, 2]. Crisp texture comes at the cost of fragile cell walls. A break of fragile cell walls usually leads to a water-soaking symptom that presents as tissue translucency, softening, and maceration of the endocarp and placental tissues [3]. This symptom leads the bright redness to a dark redness, thus deteriorating the appearance of the fresh-cut watermelon [4]. Aroma of watermelons is mainly influenced by nonenol/nonenal and their derivatives that are easy to be oxidized or etherified [5–7]. Aroma deterioration occurs once watermelons are cut. Hence, the appearance and aroma deterioration are the main concerns during the retail display of fresh-cut watermelon [8].

Visible light exposure during the retail display is an emerging approach to preserve the quality of fresh-cut fruit and vegetables by inactivating most microorganisms and texture-related enzymes and delaying aroma deterioration [9–11]. In comparison with traditional chemical exposures, visible light exposure takes advantages of nontoxicity, low cost, and free residues [9]. Moreover, visible light exposure behaves as a signaling factor for the photocybernetic function of the plant and simultaneously provides illumination during the retail display [12, 13]. Consequently, visible light exposure becomes one of the simplest and more environmental friendly ways to preserve the quality of fruit and vegetables [9, 14]. In view of this, extensive studies have been conducted to investigate the effect of light exposure at various intensities and photoperiods on both the quality and physiology of fresh fruit and vegetables during their retail display [15]. Among the studies, blue light exposure (405 ± 5 nm) inactivates Salmonella spp. of fresh-cut papaya and mango and maintains their qualities [13, 14]. Visible light exposure (2500 lux) protects fresh-cut romaine lettuce from browning and quality decay [16]. Light exposure (2.4 × 10⁻⁵ mol·m⁻²·s⁻¹) inhibits the polyphenol oxidase activity by 26% and peroxidase by 16% of fresh cauliflower and lowers the browning index by 33% [11]. Moreover, the intermittent visible light exposure (5.0 × 10⁻⁵ mol·m⁻²·s⁻¹) decreases browning and reduces moisture loss of fresh-cut lettuces compared to continuous light exposure [17]. However, the intense light pulse exposure (1.2 × 10⁵ J·m⁻²) presents a negative impact on qualities of fresh-cut watermelon [18].

Retail display occupied the main shelf life of fresh-cut watermelons, and thereby conditions of retail display were an important segment to affect the qualities of fresh-cut watermelons [19–23]. Our recently reported manuscript showed that the visible light exposure of 3000 lux reduces the water-soaking symptom of fresh-cut watermelon by 18.3% [8]. The conventional white light is composed of red, green, blue, and some other wavelength spectrals. Hence, the aim of this study was to explore the effect of light spectral on the appearance and aroma of fresh-cut watermelons. The fresh-cut watermelons were exposed to white, red, green, and blue light for 4 days, respectively, and their resulting qualities were compared with the white light as the control.

2. Materials and Methods

2.1. Exposure Treatment

Seedless watermelons (Citrullus vulgaris, var. Guomin No.2) were mature and uniform, being harvested in June of 2016 and 2017 from Beijing Sijiqing Farm (Sijiqing Farm, Haidian District, Beijing). The fruits were round with regular stripes and weighed about 3∼5 kg per fruit. The flesh of the fruits was red and crispy with a soluble solid content of 9.0%∼11.5%.

Nine fruits were stored at 4°C for 24 h before cutting. The surface of the fruits was washed in icy sodium hypochlorite solution (100 mg·L⁻¹) and was flushed twice with icy water, and then the fruits were moved to a sanitary processing room with a temperature of 4°C. The fruits were peeled until the red flesh was revealed. The flesh was cut into cubes with the dimensions 0.025 m × 0.025 m × 0.025 m. All cubes were mixed, and the random 12 pieces of cubes weighing approximately 0.28 kg were fitted in a polyethylene tray and sealed with a transparent cover. The trays were stored in a 4-shelf double-door cabinet at 4°C for 4 days. The cabinet was illuminated by while, red, green, and blue lamps (T8 LED lamp with a length of 1.2 m, 18 W, Zhongshan Blue Shark Lighting Co., Ltd. Zhongshan, China) in the top of each layer during the entire retail display. The distance between the lamp and the sample was 13.5 cm. The samples before the storage were nominated as fresh, and the white exposure treatment was the control.

In each treatment, eight trays were stored randomly. After stored for 4 days, three trays were for the weight loss measurements, one tray was for the color and water-soaking ratio measurements, one tray was for the soluble solid content, titratable acid, and Vc content measurements, one tray was for the firmness measurements, one tray was for the antioxidant capacity measurements, and one tray was for the aroma comparison.

2.2. Characteristic of LED Lamp

The illumination intensity of the LED lamps was monitored by a portable light meter (TES-1339R Data Logger, TES Electrical Electronic Corp., Taipei, China). The spectral characteristic of the LED lamps was monitored by an optical radio meter (CL500A, Konica Minoltas Co. Ltd, Japan). Specially, the sensors of two meters were placed in a covered tray at the same level of the sample. The illumination intensity was the average of six measurements in the different points of the shelf.

The color of illumination is expressed in the Yxy space, where Y indicates luminance and x and y are the chromaticity values calculated from the three values of XYZ via equation (1). The purity of illumination is the distance between white dots and samples divided by the distance between white dots and spectral points:where X, Y, and Z are the absolute values of chromatic coordinates R, G, and B of the sample in the CIE-RGB system.

The intensities of the red, green, and blue light were (1104.7 + 55.7), (2977 + 181.5), and (155.1 + 15.3) lux, respectively. Their maximum emissions were located in 620–650, 510–530, and 440–460 nm, respectively (Figure 1). The red and blue lights were located in the main wavelength track of 638 and 447 nm with a purity of 100% in the Herm Holtz profile, respectively, while the green light presented a complementary wavelength of 520 nm with a purity of 86.4%. The red, green, and blue light exposures provided appropriate illumination for the fresh-cut watermelon.

(a)

(b)

The white light was located in the blackbody track and presented daylight spectral characteristics with an intensity of (2939.7 + 155.6) lux. Its maximum emission overlapped with the spectral of the red, green, and blue lights in 430–460 and 500–640 nm.

2.3. Determination of Weight Loss, Soluble Solid Content, and Titratable Acid

The weight loss ratio was the percentage of the weight difference between the initial and final weight in the initial weight.

Soluble solid content of the sample was measured via a pocket refractometer (Pal-α, ATAGO Co., Ltd., Japan) with distilled water as a blank.

An aliquot of 10 mL juice was titrated automatically with a standardized 0.01 mol·L⁻¹ NaOH to the end point of pH 8.1 by a pH meter (TitroLine®—SI Analytics GmbH, Mainz, Germany). The volume of NaOH (by multiplying with 0.67) was converted to mg malic acid per milliliter juice.

2.4. Determination of Vc Content

The Vc content was determined via a recently reported HPLC method [24]. An aliquot of 25 mL of the juice was mixed with 25 mL of a solution containing 45 g·L⁻¹ of metaphosphoric acid and 7.2 g·L⁻¹ of dithiothreitol. The mixture was centrifuged at 20,000 ×g for 15 min at 4°C, and the supernatant was vacuum filtered through the Whatman No. 1 paper. The sample was then passed through a millipore 0.45 μm membrane into an opaque vial and kept at −80°C until being used. An aliquot of 20 μL was injected into Agilent 1200 series HPLC (Agilent Technologies, Palo Alto, California) fitted with a reverse-phase C18 Spherisorb® ODS2 (5 μm) stainless-steel column (4.6 mm × 250 mm). The mobile phase was a 0.01% sulphuric acid solution adjusted to pH 2.6. The flow rate was fixed at 1 mL·min⁻¹ and monitored at 245 nm at 25°C. Vc content was quantified via a calibration curve based on ascorbic acid pure standards, and results were expressed as relative Vc concentration.

2.5. Determination of Firmness

The fruit cube was placed on the test platform of a TA.XT2i plus texture analyzer (Stable Micro Systems Ltd., Godalming, Surrey, UK). The P/5 trigger was compressed to 50% of the total height with a pretest speed of 10 mm·s⁻¹, test speed of 2 mm·s⁻¹, and posttest speed of 10 mm·s⁻¹. During the compression, the force of the trigger increased quickly and then vibrated in a small range at a certain level. The time of the vibration was defined as the statistical interval. The average force of the statistical interval was defined as the firmness of fruit cubes.

2.6. Determination of Color and Water-Soaking Ratio

Color , and values were measured in a reflectance mode six times at 23°C (Chromameter CR-300, Minolta, Japan). The color difference (ΔE) was calculated by the following equation:where ΔE is the color difference between a sample and the control; L₁ and L₀ are the lightness of a sample and the fresh one, respectively; a₁ and a₀ are the redness of a sample and the fresh one, respectively; and b₁ and b₀ are the yellowness of a sample and the fresh one, respectively.

The samples were photographed with uniform exposure parameters via Canon EOS600D (Canon Group, Japan). The image was calculated by Image-Pro Plus (Version 6.0, Media Cybernetics, Inc., Bethesda, MD). The pixels with the red index of 140∼190 in the RGB system were selected as the water-soaking region and were marked in yellow. The water-soaking ratio was counted as the number of yellow pixels in the total fruit area. The water-soaking ratio was an average of more than six replicates.

2.7. Measurement of DPPH Radical Scavenging Capacity and ORAC Assay

The upper and lower surfaces of the sample were used for DPPH radical scavenging capacity and ORAC measurements. Specifically, the upper/lower surface of the sample was cut with a thickness of 0.3 cm from the surface, nominated as exposed/unexposed. The mixed fruit chips were homogenized in a Philips food mixer (HR1861 mixer, Philips, Dongguan, China) and centrifuged at 7000 ×g and 4°C for 10 min (Sigma 3-18K, Sartorius, Gottingen, Germany). The supernatant was evaluated for the DPPH radical scavenging capacity and ORAC value.

Specifically, the free radical scavenging capacity was evaluated using the stable 2,2-diphenyl-1-picryhydrazyl (DPPH) radical [25]. The final concentration was 1 × 10⁻⁴ mol·L⁻¹ for DPPH with butylated hydroxytoluene as the control. The DPPH radical scavenging activity was calculated as a percentage of DPPH discoloration and as butylated hydroxytoluene equivalent.

The oxygen radical absorbance capacity (ORAC) of the sample was measured according to the recently reported protocol [26, 27]. The sample (20 μL) was pipetted to the proper well and incubated for 10 min with fluorescein as the fluorescent probe. The final assay solution contained 6.7 × 10⁻⁸ mol·L⁻¹ of fluorescein, 6.0 × 10⁻² mol·L⁻¹ of 2,2′-azobis-2-methyl-propanimidamide, 300 μL of sample, or 7% β-cyclodextrin as a reagent blank. The fluorescence of an assay mixture was measured and recorded once every minute. The trolox equivalent (TE) was calculated using a standard curve prepared with trolox and used to compare the ORAC of various samples via expression as mol·kg⁻¹ TE.

2.8. Aroma Comparison

Aroma of the samples was compared via an electronic nose PEN3 (Airsense Analytics GmbH, Schwerin, Germany). The electronic nose was turned on for 30 min and was cleaned by flushing the testing system with filtered air at a flow rate of 400 mL·min⁻¹ for 3 min. The electronic sensor was immediately inserted to the testing tube after the sample of 2 mL was put into the tube at 25°C for 30 min. The responses of the sensor were collected for 2 min with an interval of 1 s. During the data collecting, the chamber flow was 400 mL·min⁻¹ with filtered air. The resulting data were further analyzed by principal component analysis (PEN3 and WinMuster, Version 1.6.2, Airsense Analytics GmbH, Schwerin, Germany).

2.9. Statistical Analysis

The experiment was repeated 3 times. The data were expressed as mean ± standard deviation of at least nine repetitions. Analysis of variance was used to compare mean differences of the results. If differences among means were detected, multiple comparisons were performed using Duncan’s Multiple Range Test. Directional difference tests were employed to enable direct comparison of the results of the sensory evaluations. All analyses were conducted in SPSS (Windows Version 19).

3. Results and Discussion

3.1. Effect of Light Exposures on Appearance of Fresh-Cut Watermelon

The effect of light exposure on the color of the watermelon is listed in Table 1. Usually, the color can be discriminated when the color difference (ΔE) was higher than 3.0 [28]. The ΔE of the blue exposure and the control was 3.36 and 5.00, respectively, while that of the red and green exposures was 0.58 and 2.47, respectively. The ΔE of the red exposure was the smallest among all tested light exposures, while that of the control was the largest. Specifically, the a value of the red and green exposures was statistically similar to that of the fresh but was significantly higher than that of the control and blue exposure. The red and green exposures were better to maintain the redness of the fresh-cut watermelon. Hence, the red exposure maintained the original color of the fruit as well as its redness. Similar to our results, the red exposure maintains the original color of the broccoli [14], while the white exposure leads to a significant difference in a and b values of fresh-cut apples [9]. On the other hand, the intense white light pulse exposure of 1.2 × 105 J·m⁻² leads the redness of the watermelon surface to orange chromaticity [18]. Consequently, both the appropriate spectrum and intensity were key to maintain the original color of the fresh-cut watermelon.

The water-soaking symptom of watermelons is characterized as tissue translucency, softening, and maceration of the endocarp and placental tissues [3, 4]. A number of factors are suspected to contribute to this symptom [3, 29–32].The water-soaking symptom of the fresh-cut watermelon is shown in Figure 2. The water-soaking symptom spreads from the edge of the fruit cube to the whole cube, being consistent with our recently reported manuscript [8]. The water-soaking ratio of the control, red, green, and blue exposures was 28.2%, 10.5%, 9.2%, and 21.1%, respectively. The water-soaking ratio of the red and green exposures was reduced by 62.8% and 67.4% of the control, respectively. Hence, the red and green exposures delayed the water-soaking symptom of the fresh-cut watermelon.

(a)

(b)

(c)

(d)

The effect of light exposures on the firmness of fresh-cut watermelon is shown in Figure 3. The firmness of the red and green exposures was significantly higher than that of the control, while that of the blue exposure was similar to that of the control. This phenomenon further validated that the firmness is negatively related to the water-soaking symptom of the watermelon [4]. Being different from our results, the blue exposure maintains the firmness of tomato, whose firmness is higher than that of the red exposure [33]. This difference could result from the higher sensitivity of the tomato epidermis to blue light. Based on the results of the color, water-soaking symptom, and firmness, red light exposure was better to maintain the appearance of the fresh-cut watermelon.

3.2. Effect of Light Exposures on the Quality of Fresh-Cut Watermelon

Figure 4 shows the effect of light exposures on the weight loss, Vc content, soluble solid content, and titratable acid of fresh-cut watermelon. The weight loss of the red and green exposures was significantly lower than that of the white exposure, while that of the blue exposure was higher than that of the white exposure. The weight losses of the red and green exposures were 1.81% and 2.92%, respectively, which were reduced by 51.1% and 21.1% of that of the white light exposure. Consistent with our results, the weight loss of cowpea exposed to red and green light is significantly lower than that of white light [34]. Moreover, the weight loss of the fruit and vegetable is positively linearly related with light intensity [8]. For instance, the weight loss of lettuce is 1.74%, 1.35%, and 1.05% for exposures of 2500 lux, 500 lux, and dark condition, respectively [16], and that of cauliflower heads is 1.8% and 1.4% for exposures of 2.4 × 10⁻⁵ mol·m⁻²·s⁻¹ and dark conditions, respectively [11]. Consequently, the light intensity was another important factor influencing the weight loss of the sample.

(a)

(b)

(c)

(d)

The soluble solid content of each exposure was significantly enhanced compared to that of the control. This phenomenon mainly resulted from the weight loss during the retail display and the sugar metabolism of fruits [35]. Remarkably, the red and green exposures raised the soluble solid content significantly compared to the white exposure, while the blue exposure did not. Consistent with our results, the soluble solid content of the fresh-cut romaine lettuce shows similar trends after a light exposure of 2500 lux [15].

The titratable acid of the fresh-cut watermelon was significantly enhanced after each light exposure. The green light exposure increased the titratable acid of the fresh-cut watermelon significantly when compared to white light exposure, while the red and blue light exposures did not. Similar to the increase of the soluble solid content, the increase of titratable acid content was mainly related to the respiration of fruits. A lower temperature during the retail display inhibits the respiration, thus maintaining the content of the titratable acid [36].

Vc is generally regarded as an abiotic stress product of plants. Any stress responses usually lead to an increase of the Vc content followed by a decrease [37], which has been validated during the storage of romaine lettuce and broccoli during the white exposure of 2500 lux [10, 15]. Each exposure reduced the Vc content of watermelon cubes. The residual of the Vc content was as follows: white°>°blue°>°green°>°red. Hence, red and green light exposures were adverse to maintain the Vc content of fruit cubes. Moreover, the reduction of the Vc content is related to the light intensity and cultivars. For instance, the reduction of the Vc content of the cauliflower head is positively related to the light intensity of 2.4 × 10⁻⁵ mol·m⁻²·s⁻¹ and dark conditions [11]. The reduction of the Vc content is ≤5% for fresh-cut mango, strawberry, and watermelon cubes after six days at 5°C, 10% in fresh-cut pineapple pieces, 12% in fresh-cut kiwifruit slices, and 25% in fresh-cut cantaloupe cubes [38].

3.3. Effect of Light Exposure on Antioxidant Capacities of Fresh-Cut Watermelon

Antioxidant capacity is a further biochemical index of cell metabolism correlated with oxidative stress, which was evaluated via ORAC and DPPH radical methods. The ORAC value reflects the scavenging capacity of a sample to radicals produced during the cell metabolism which mainly transfers labile H atoms in a lipophilic media, while DPPH radical assesses the ability of the hydroxyl compound to transfer labile H atoms to the radical mainly in a hydrophilic media [25]. The effect of light exposures on antioxidant capacities of fresh-cut watermelon is shown in Figure 5. Each exposure significantly decreased the antioxidant capacities of the fruit cubes. Moreover, the ORAC value and DPPH radical scavenging capacity were similar as follows: white > blue > green > red, which showed the same order of residual of the Vc content. The white exposure was better to maintain the antioxidant capacities of the fresh-cut watermelon than the other exposures. Remarkably, the ORAC value of the white exposure was reduced by 18.9%, while the DPPH radical scavenging capacity was reduced by 45.3%. The reduction of the ORAC value was smaller than that of the DPPH radical scavenging capacity. The antioxidant capacities to the radicals produced during the cell metabolism were better to be retained. Therefore, the biological radical scavenging capacity was well maintained by each light exposure although the antioxidant capacities of both biological and chemical radicals were reduced.

(a)

(b)

Moreover, the antioxidant capacities of the exposed and unexposed fruit cubes were compared. The antioxidant capacity of exposed cubes was significantly lower than that of unexposed cubes. The antioxidant capacity of fruit cubes was negatively related to the exposure intensity. Hence, each light exposure led to a reduction of antioxidant capacities of the fresh-cut watermelon.

3.4. Effect of Light Exposures on Aroma of Fresh-Cut Watermelon

The aroma of the fresh-cut watermelon was compared via a sensor array of 10 electrodes of an electric nose. The dimensions of the electrical response (10 groups) were reduced via principal component analysis. The main components 1 and 2 contributed 98.5% and 0.97% of the total watermelon aroma, respectively (Figure 6). The total variance of the main components 1 and 2 reached 99.6%. Consequently, the main components 1 and 2 were used to discriminate the aroma difference of the light exposures. Specifically, the aroma of the red exposure overlapped with that of the control based on the main component 1, while the white, blue, and green exposures did not. The aroma of each treatment was similar to that of the control based on main component 2. Hence, red light exposure delayed the aroma deterioration of fresh-cut watermelon.

(a)

(b)

The loading analysis presented the contribution of each electrode to the main components 1 and 2. Each electrode added a positive contribution to the main component 1 with W2S, W5S, and W1S adding the main contributions. Each electrode, except for W1W, added a positive contribution to the main component 2 with W2W and W2S adding the main contributions. The variances of the main components 1 and 2 were 98.5% and 0.97%, respectively. Consequently, W1W and W5S sensors were the main basis for judging the aroma change of fresh-cut watermelon. These phenomena could be the result of a small amount of sulfide metabolized by microbes during the retail display due to the sensitivity of the W1W sensor to inorganic sulphides (Pen3). Moreover, the main volatile components of watermelon are nonenol/nonenal and their derivatives due to the sensitivity of the W5S sensor to the short or aromatic components of alkanes (Pen3). Hence, the aroma change could be the result of microbial metabolism and the self-metabolism of the volatiles of fresh-cut watermelon.

4. Conclusion

The fresh-cut watermelons were exposed to the red, green, blue, and white light at 4°C for four days, respectively. The maximum emissions of the red, green, blue, and white lights were located in 620–650, 510–530, 440–460, and 430–460 and 500–640 nm, respectively. The weight loss of the red and green light exposures was 1.81% and 2.92%, respectively, which was reduced by 51.1% and 21.1% of the white light exposure. The color difference of the red light exposure was the smallest among all the light exposure, while that of the white light exposure was the largest. The red and green exposures were better to maintain the original color of fresh-cut watermelon as well as their redness. Meanwhile, the red and green exposures delayed the water-soaking symptom and maintained the firmness of the fruit cubes. Moreover, the aroma deterioration was delayed by the red light exposure, which resulted from microbial metabolism and the self-metabolism of volatiles of the fresh-cut watermelon. However, each light exposure significantly decreased the antioxidant capacities of the fruits. The ORAC value and DPPH radical scavenging capacity were similar as follows: white > blue > green > red. In summary, red light exposure could be a better option to delay the appearance and aroma deterioration of fresh-cut watermelons during their retail display.

Data Availability

The data used to support the findings of this study are available from the corresponding author upon request.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

Acknowledgments

The authors are grateful to financial support of the China Agricultural Research System (CARS-25), Collaborative Innovation Center of the Beijing Academy of Agricultural and Forestry Sciences (KJCX201915), and the (QNJJ201802).

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