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A Comparative Assessment of the Quality of Minimally Processed Pineapples Sold in Wet Markets and Supermarkets of Mauritius

Hudaa Neetoo1*, Brinda Ramasawmy2, Arvind Ruggoo2, Shane Hardowar2, Issen Rungasamy1, Wasseem Jaumdally1, Keshnee Reega1

1Department of Agricultural and Food Science, Faculty of Agriculture, University of Mauritius, Réduit, Moka, 80837, Mauritius
2Department of Agricultural Production & Systems, Faculty of Agriculture, University of Mauritius, Réduit, Moka, 80837, Mauritius

Corresponding Author Email: s.neetoo@uom.ac.mu

DOI : https://dx.doi.org/10.12944/CRNFSJ.7.1.13

Article Publishing History

Received: 22-11-2018

Accepted: 19-03-2019

Published Online: 20-03-2019

Plagiarism Check: Yes

Reviewed by: Dr. Anthony Cemaluk C. EGBUONU Nigeria

Second Review by: Dr. Fitriyono Ayustaningwarno India

Final Approval by: Dr. Rajesh Jeewon

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Abstract:

Pineapple is one of the most economically important fruit crops of Mauritius and is often sold after being minimally processed (MP). Unfortunately, minimally processed whole (MPW) and fresh-cut (MPC) pineapples are susceptible to microbial contamination that can compromise the quality of the products. It is therefore important that MP pineapples have optimal freshness, nutritional quality, and are free from microbial contamination which would otherwise constitute a public health hazard to the consumers.The main aim of this study was to assess the microbiological, nutritional, and physicochemical quality of MP pineapples sourced from wet markets and supermarkets. Samples of MPW and MPC pineapples collected from open markets and supermarkets were subjected to microbiological, pH, and vitamin C analyses. The MP pineapples were also challenged using the specific spoilage organism (SSO), Pseudomonas fluorescens and subsequently stored at either ambient or refrigeration temperature to simulate storage conditions of wet markets and supermarkets, respectively. Laboratory analyses revealed that the Total Viable Counts (TVC), pH, and vitamin C content for MPW and MPC pineapples sampled ranged from 4.8 – 5.5 Log CFU/g, 4.16 – 4.96, and 21.60 – 28.90 mg/100 g, respectively. Since the population density of TVC was less than 7 Log CFU/g, which usually marks the onset of microbiological spoilage, the products were considered to be of a satisfactory microbiological quality. Moreover, there was no statistically significant difference in the microbiological load, pH, and vitamin C content for pineapples sourced from markets and supermarkets. Taken together, this study reveals that MP pineapples sold in wet markets and supermarkets have a satisfactory microbiological, nutritional, and sensorial quality with a shelf-life of >7 hours and >5 days when stored at room (29°C) and refrigeration (4°C) temperatures, respectively.

Keywords:

Fresh-Cut; Mauritius; Microbiological Quality; Minimal Processing; Pineapple; Ready-To-Eat; Shelf-Life.

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Neetoo H, Ramasawmy B, Ruggoo A, Hardowar S, Rungasamy I, Jaumdally W, Reega K. A Comparative Assessment of the Quality of Minimally Processed Pineapples Sold in Wet Markets and Supermarkets of Mauritius. Curr Res Nutr Food Sci 2019;7(1). doi : http://dx.doi.org/10.12944/CRNFSJ.7.1.13


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Neetoo H, Ramasawmy B, Ruggoo A, Hardowar S, Rungasamy I, Jaumdally W, Reega K. A Comparative Assessment of the Quality of Minimally Processed Pineapples Sold in Wet Markets and Supermarkets of Mauritius. Curr Res Nutr Food Sci 2019;7(1). https://bit.ly/2Ctxj8F


Introduction

The tropical agro-climatic conditions of Mauritius make it very conducive for the production of a diverse range of fruits. One of the most economically important fruits is the pineapple, with an average annual production of 12,000 tonnes over an equivalent of 500 ha of land.1 Mauritian pineapples are mainly acquired from two cultivars: Queen Victoria and Smooth Cayenne pineapple.Burhooa and Ranghoo-Sanmukhiya (2012) reported that the Queen Victoria cultivar is the variety that dominates the local and export market by virtue of its sweetness, fragrant smell, golden yellow flesh, vibrant tropical flavour, and year-round availability.3

Minimally processed (MP) fruits are becoming increasingly popular due to the convenient individual portioning and reduced preparation time.4 In Mauritius, pineapples are typically served and consumed fresh after removal of the crown, rind, eyes, and core.5 Consumers are becoming increasingly aware of the safety and quality of fresh pineapples, as well as the relationship between the production practice and the quality of these products.2 They are thus increasingly pursuing assurances on freshness, taste, safety, traceability, health, and nutrition of the food they eat.6 These factors collectively contribute to the overall perception of ‘quality’ and determine the degree of acceptability of the MP pineapples to the consumer. Quality of fresh fruits including pineapples can be assessed by five sensorial attributes: overall appearance, colour, aroma, texture, and taste. In addition to the five sensory traits, the acceptability of fruit is also measured by a variety of quantifiable physicochemical and microbiological laboratory parameters.

The aim of this study was therefore to compare the quality of minimally processed whole pineapples (MPW) and minimally processed fresh-cut pineapples (MPC) sold in outlets of Mauritius as determined by subjective (consumer evaluation) and objective (laboratory analyses) assessments. The objectives were to determine the microbiological, physicochemical, and sensorial quality of MP pineapples sourced from different regions of Mauritius and to draw inferences on the acceptability of MP pineapples as determined by consumer evaluations and laboratory analyses.

Materials and Methods

Sampling

Samples of the (MPW) and (MPC) pineapples of the Queen Victoria cultivar, were chosen by customers and purchased from different regions of Mauritius and transported in an isothermal bag to the University of Mauritius’ laboratory.

Microbiological Analyses

For microbiological analyses, 25g of MPW and MPC pineapple samples were aseptically weighed and transferred to a stomacher bag. To the samples, 225ml of Buffered Peptone Water (Oxoid, Hampshire, UK) was added. The mixture was blended in a stomacher machine (Stomacher 400, Seward, UK) for 2 minutes at 230RPM. The homogenate was serially diluted and appropriate dilutions were plated. Plate Count Agar (Oxoid) was used to recover mesophilic aerobic bacteria following ISO 4833:2003,7 Potato Dextrose Agar (Oxoid) was used to isolate yeasts and moulds following ISO 21527:2008,8 De Man-Rogosa-Sharpe medium (Oxoid) for lactic acid bacteria,9 Baird Parker Agar (HiMedia, Mumbai, India) for Staphylococcus aureus following ISO 6888-1:1999,10 and finally, Pseudomonas Isolation Agar (Hi Media) for the recovery of Pseudomonas species.11

A culture of Pseudomonas fluorescens ATCC® 13525™ was inoculated on Pseudomonas Agar (Hi Media) and Pseudomonas CFC medium (Hi Media). Colonies appearing straw-coloured with a greenish tinge were presumed to be P. fluorescens. Presumptive isolates of Pseudomonas species were confirmed after microscopic examination and oxidase and catalase tests. Using a flame-sterilised loop, a loopful of the culture was transferred into two test tubes, each containing 5ml of Nutrient Broth (HiMedia) and incubated at 30 ± 2°C for 24 hours.

Physicochemical Analyses

Briefly, two pineapples that were either peeled (MPW) or peeled and cut (MPC) were homogenised in a juicer. The pH of the pineapple slurry was then measured with a pH meter (Mettler-Toledo, Greifensee, Switzerland) following the official method of analysis (AOAC, 1990).12Instrumental surface colour (CIE L* a* b*) was determined using a colourimeter (Konica Minolta CR-410 Chroma Meter, Tokyo, Japan). Since a* values give an indication of the redness-greenness of a product, a* values were not of interest for this study. The moisture content of the pineapples was determined using the oven drying method by drying to constant weights at 105°C. Water-activity of the samples was measured using a dew-point water activity meter (Novasina, Lachen, Switzerland). All the physicochemical analyses were carried out in two independent replicates.

Vitamin C content determination

Vitamin C content was determined by the Indophenol method adapted from the AOAC (1999) and Ceirwyn (1995).13,14 Briefly, 25g of pineapple slurry from individually homogenised MPW or MPCpineapples was mixed with 100 ml of 3% metaphosphoric acid-acetic, and the mixture subsequently filtered. The filtrate was then titrated against indophenol solution until a persistent light pink colour was obtained. The titre values were recorded and the mean was calculated. A blank titration was performed for which the titre value was also recorded.

Sensory Analysis

For sensory analysis, a questionnaire was designed and sensorial evaluation was conducted with ten untrained panellists to simulate naïve consumers. Samples of MPW and MPC pineapples were presented to the panellists in clean disposable plates and the latter were asked to rate the samples for the following sensory parameters: ‘Overall Appearance’, ‘Aroma’, ‘Texture’, and ‘Colour’. A 9-point hedonic scale ranging from ‘1 – Dislike Extremely’ to ‘9 – Like Extremely’ was used. The sums of scores of all ten panellists were then computed for each parameter. A scale was devised to assign the grades ‘Good: 70-90’, ‘Fair: 50-69’, ‘Poor: 40-49’, or ‘Very Poor: 10-39’ based on the summed scores.

Microbiological shelf-life estimation of MPC pineapples

For microbiological shelf-life estimation, whole pineapples were bought fresh from a wet market in the Central region of Mauritius. In the laboratory, the samples were rinsed with sterile water. Using a flame-sterilised knife, the pineapples were peeled and cut into identical-sized cubes weighing approximately 10 ± 1g and apportioned in 14 individual stomacher bags. A 125µl aliquot of a late-log phase culture of P. fluorescens in nutrient broth was pipetted into each of the 14 bags containing the samples and pummelled gently to spread the inoculum evenly. Eight of the inoculated samples were subsequently kept at ambient temperature (28-29°C) for up to 7 hours and analysed at hourly intervals to determine the population density of P. fluorescens. The remaining six stomacher bags were kept chilled at 4°C for a period of 5 days and microbiologically analysed daily. The initial population density of the inoculum was approximately 5.0 Log CFU/g as determined by plating on Pseudomonas Isolation Agar. Growth data were then analysed as described in the section below.

Microbial Modelling

Online microbial modelling tools used in the project were ComBase Predictor (University of Tasmania/USDA-ARS, Australia), Sym’Previus (ADRIA, France), and Integrated Pathogen Modeling Program (IPMP) 2013 (USDA-ARS, USA). ComBase is a predictive tool for important foodborne spoilage microorganisms.15 Sym’Previus has a collection of models and data to be applied for quantifying microbial behaviour and determining shelf-life.16 IPMP 2013 is a data analysis tool developed by the USDA, specifically designed to develop primary and secondary microbial growth models.17 Growth data from the challenge study with P. fluorescens was fitted with the (a) Baranyi and Roberts model of ComBase, (b) linear model of ComBase, (c) linear model of Sym’Previus, and (d) linear model of IPMP 2013.

Data Analyses

All laboratory analyses were conducted in at least two replicates. Microbiological, physicochemical, and vitamin C data were statistically analysed using Minitab Release 18 (Pennsylvania, USA). Overall significance was determined by subjecting the data to a one-way or two-way ANOVA. Significantly different means were separated using a Tukey’s honest significant difference post-hoc test.

Results and Discussion

Microbiological Quality of MP Pineapples

Current results show that microbial counts of MPW and MPC pineapples varied with the degree of minimal processing (peeled vs. peeled and cut), the type of retail outlet (wet market vs. supermarket), and to a lesser extent, on the geographical location of the markets and supermarkets (north, south, east, central, or central-north).

As shown in Table 1 below, the Total Viable Count (TVC) count for MPW and MPC pineapples fell in the range of 4.8 – 5.4 Log CFU/g and 5.2 – 5.5 Log CFU/g, respectively. Given that the TVC population density of 7.0 Log CFU/g is used as an index of food spoilage,18 our results indicate that the pineapples were of sound microbiological quality. Moreover, none of the tested samples showed any visible evidence of spoilage. Contrary to the findings of Jay (2005) who demonstrated that processing and packaging increased microbial incidence,19 for this study, no significant difference (P = 0.98) in TVC was observed between MPC and MPW samples. Moreover, no significant differences were observed in the microbial load of MPW and MPC pineapples sold at either wet markets (P = 1.00) or supermarkets (P = 0.89).

Table 1: Total Viable Counts (Log CFU/g) of MPW and MPC pineapples sourced from wet markets and supermarkets in different regions of Mauritius

Regions MPW MPC
Wet market Supermarket Wet market Supermarket
South 5.4 ± 0.34aA 5.2 ± 0.28aA 5.5 ± 0.16aA 5.2 ± 0.44aA
Central 5.3 ± 0.24aA 4.8 ± 0.32aA 5.4 ± 0.60aA 5.4 ± 0.77aA
Central North 5.4 ± 0.23aA 5.4 ± 0.44aA 5.5 ± 0.26aA 5.4 ± 0.34aA
North 5.4 ± 0.17aA 5.3 ± 0.02aA 5.5 ± 0.50aA 5.3 ± 0.07aA
East 5.4 ± 0.46aA 5.2 ± 0.44aA 5.5 ± 0.11aA 5.3 ± 0.14aA

 

Results depict average values ± S.D of two replicates. Different lowercase superscript letters in the same row reveal significant differences (P < 0.05). Different uppercase superscript letters in the same column reveal significant differences (P < 0.05).

Fungal counts for MPW and MPC pineapples fell in the range of 5.8 – 6.3 Log CFU/g (Table 2). According to Danyen et al., (2011), the acidic condition of pineapples does not hinder the growth of acid-tolerant fungi.20 The high sugar content of pineapples also makes them susceptible to fungal infection.21 Fungal species that are known to grow on and spoil fresh fruits include Fusarium, Cladosporium, Penicillium, and Alternaria.22 Those studies are consistent with findings of the present study where fungi were able to grow on cut pineapples displayed at either room temperature (wet markets) or refrigerated (super-markets) temperature.

Table 2: Fungal counts (Log CFU/g) of MPW and MPC pineapples sourced from wet markets and supermarkets in different regions of Mauritius

Regions MPW MPC
Wet market Supermarket Wet market Supermarket
South 5.9 ± 0.39aA 5.8 ± 0.72aA 6.0 ± 0.16aA 5.9 ± 0.39aA
Central 6.0 ± 0.34aA 5.8 ± 0.90aA 6.1 ± 0.34aA 5.8 ± 0.72aA
Central North 6.2 ± 0.14aA 5.9 ± 0.18aA 6.2 ± 0.29aA 6.1 ± 0.12aA
North 6.2 ± 0.39aA 6.0 ± 0.34aA 6.3 ± 0.34aA 5.9 ± 0.39aA
East 6.1 ± 0.52aA 6.0 ± 0.62aA 6.1 ± 0.24aA 5.9 ± 0.55aA

 

Results depict average values ± S.D of two replicates. Different lowercase superscript letters in the same row reveal significant differences (P < 0.05). Different uppercase superscript letters in the same column reveal significant differences (P < 0.05).

In the current study, lactic acid bacteria (LAB) counts of MPW and MPC pineapples varied considerably, ranging from 2.7 – 5.2 Log CFU/g (Table 3). The genera of LAB associated with the flora of fresh-cut fruits include Lactobacillus, Leuconostoc, Pediococcus, and Lactococcus.22 Extensive growth of LAB can however result in fermentation and subsequent lactic acid production thereby lowering the pH and leading to an off-flavour formation. Several authors have in fact noted the association between LAB growth and spoilage of fresh-cut fruits including pineapples when stored at 7°C or above in a modified atmosphere.23,24,25

Table 3: Lactic Acid Bacteria count (Log CFU/g) in MPW and MPC pineapples sourced from wet markets and supermarkets in different regions of Mauritius

Regions MPW MPC
Wet market Supermarket Wet market Supermarket
South 3.2 ± 0.27aA 4.1 ± 0.36aA 3.5 ± 0.95aA 5.2 ± 0.37aA
Central 4.6 ± 0.48aA 2.7 ± 0.85aA 3.8 ± 0.58aA 3.9 ± 0.28aA
Central North 3.9 ± 0.34aA 4.3 ± 0.57aA 2.8 ± 0.85aA 3.9 ± 1.22aA
North 3.1 ± 0.57aA 2.9 ± 0.48aA 3.2 ± 0.49aA 4.1 ± 0.89aA
East 3.6 ± 0.46aA 4.0 ± 1.13aA 4.4 ± 0.55aA 3.2 ± 1.35aA

 

Results depict average values ± S.D of two replicates. Different lowercase superscript letters in the same row reveal significant differences (P < 0.05). Different uppercase superscript letters in the same column reveal significant differences (P < 0.05).

Staphylococcus aureus from MPW and MPC pineapples was consistently undetectable by plating (< 2 Log CFU/g), hence data are not shown. Even though staphylococci have been found on fruits and vegetables during processing, they are generally unable to proliferate in the presence of the more dominant lactic biota and this may explain the poor isolation of staphylococci.26

Pseudomonas species were isolated with population densities ranging from 2.8 – 6.1 Log CFU/g from MPW and MPC pineapples (Table 4). Fluorescent pseudomonads species are commonly known as important spoilage microorganisms of fresh-cut produce.22 They can decay plant tissue at temperatures at or below 4°C and have been found in a variety of frozen and refrigerated foods, including fresh produce.27

Table 4: Pseudomonas species count (Log CFU/g) in MPW and MPC pineapples sourced from wet markets and supermarkets in different regions of Mauritius

Regions MPW MPC
Wet market Supermarket Wet market Supermarket
South 4.7 ± 0.35aA 2.8 ± 0.48aA 4.4 ± 1.34aA 3.3 ± 0.86aA
Central 4.3 ± 0.64aA 4.7 ± 0.73aAB 3.6 ± 0.29aA 4.5 ± 1.02aA
Central North 3.2 ± 0.63aA 5.9 ± 0.69bB 5.2 ± 0.68abA 4.8 ± 0.59abA
North 3.1 ± 0.73aA 2.9 ± 0.49aA 3.9 ± 1.36aA 4.1 ± 0.66aA
East 4.1 ± 0.48aA 4.0 ± 0.27aAB 6.1 ± 1.05aA 5.2 ± 0.17aA

 

Results depict average values ± S.D of two replicates. Different lowercase superscript letters in the same row reveal significant differences (P < 0.05). Different uppercase superscript letters in the same column reveal significant differences (P < 0.05).

Taken together, mesophilic aerobes, fungi, LAB, and Pseudomonas species were detected at varying levels in MP pineapples sourced from the different retail outlets. The microbial load of MP pineapples usually reflects the sanitary quality of the processing steps and the microbiological conditions of the raw products at the time of processing.26 However, no treatments during the production of MP fruits can ensure the total elimination of microorganisms on the surface of the product since the flesh of pineapples represents a suitable matrix for most microorganisms by virtue of its high water activity and high sugar content.22 Our results are also congruent with observations made by several other authors who indicated that the background microflora found on cut surfaces of MP fruits is diverse,28 with a variety of fungi, spoilage, or otherwise innocuous bacteria.29

Physicochemical Quality of MP Pineapples

pH

The pH of MPW pineapples obtained from the different retail outlets ranged from 4.16 – 4.84 while the pH of MPC pineapples varied from 4.44 – 4.96 (Table 5). According to Gallota et al., (2018), cutting of fruits accelerates their respiration due to extensive wounding of the tissue.30 This, in turn, increases the rate of catabolic activities involving acid breakdown which leads to an increase in pH.31 It was noted that the pH of Queen Victoria pineapples from this study was considerably higher than the pH of the same variety (3.62 – 3.95) determined by Khatoo (2008).32

Table 5: Mean pH of MPW and MPC pineapples sourced from wet markets and supermarkets in different regions of Mauritius

Regions MPW MPC
Wet market Supermarket Wet market Supermarket
South 4.83 ± 0.025aA 4.81 ± 0.015aA 4.95 ± 0.020aA 4.93 ± 0.021aA
Central 4.85 ± 0.035aA 4.82 ± 0.021aA 4.96 ± 0.036aA 4.95 ± 0.021aA
Central North 4.84 ± 0.026aA 4.84 ± 0.012aA 4.94 ± 0.015aA 4.93 ± 0.015aA
North 4.26 ± 0.053aB 4.24 ± 0.015aB 4.95 ± 0.025bA 4.93 ± 0.059bA
East 4.17 ± 0.057aB 4.16 ± 0.012aB 4.44 ± 0.015aB 4.85 ± 0.012bA

 

Results depict average values ± S.D of two replicates. Different lowercase superscript letters in the same row reveal significant differences (P < 0.05). Different uppercase superscript letters in the same column reveal significant differences (P < 0.05).

Surface Colour

Instrumental evaluation using the CIE L*a*b* colour scale was used for colour references, based on L*, a*, and b* parameters and their derivative measurements (hue and chroma). Usually, an increase in L* value is correlated with the development of whiteness in samples, and a decrease in this parameter indicates browning development.33

From Table 6, L* values for MPW pineapples (73-75) were found to be significantly higher than their MPC counterparts (70-73) purchased from both wet markets (P = 0.00) and supermarkets (P = 0.00), thus indicating the loss of brightness after cutting. The lower L* values noted for MPC fruits could be due to enzymatic browning which is injurious to the quality maintenance of fresh-cut fruits.34 As indicated by Crisosto et al., (2006), consumers usually assess the quality of fruits based on their specific colour and vividly coloured fresh-cut fruits tend to be perceived as ‘fresh’ by consumers.35,36

Table 6: L* values of MPW and MPC pineapples sourced from wet markets and supermarkets in different regions of Mauritius

Regions MPW MPC
Wet market Supermarket Wet market Supermarket
South 74.51 ± 0.15aA 74.79 ± 0.20aA 72.67 ± 0.32bA 72.37 ± 0.21bA
Central 73.62 ± 0.08aA 74.27 ± 0.45aA 71.63 ± 0.53bA 71.42 ± 0.11bA
Central North 74.64 ± 0.04aA 74.77 ± 0.09aA 73.17 ± 0.71abA 72.81 ± 0.25bA
North 73.93 ± 0.12abA 74.12 ± 0.13aA 72.55 ± 0.34bA 72.38 ± 0.12bA
East 74.75 ± 0.06aA 74.61 ± 0.10aA 72.77 ± 0.02bA 72.47 ± 0.21bA

 

Results depict average values ± S.D of two replicates. Different lowercase superscript letters in the same row reveal significant differences (P < 0.05). Different uppercase superscript letters in the same column reveal significant differences (P < 0.05). The b* values (Table 7) give an indication of the degree of yellowness to blueness; the highest b* value recorded was for MPC pineapples (51.71) sourced from the wet market of the northern region of Mauritius. The Queen Victoria variety of pineapple is in fact known and appreciated for its bright yellow colour.37 This study showed that MPC pineapples were significantly more yellowish (50.87 – 51.71) compared to MPW pineapples (43.67 – 44.70; P = 0.00). Pineapples samples with higher b* values are likely to have greater consumer acceptance.

Table 7: b* values of MPW and MPC pineapples sourced from wet markets and supermarkets in different regions of Mauritius

Regions MPW MPC
Wet market Supermarket Wet market Supermarket
South 44.30 ± 0.33aA 43.84 ± 0.22aA 50.92 ± 0.70bA 51.91 ± 0.10bA
Central 44.70 ± 0.55aA 43.92 ± 0.32aA 50.87± 0.06bA 50.95 ± 0.03bA
Central North 44.32 ± 0.26aA 43.95 ± 0.08aA 50.95 ± 0.03bA 50.91 ± 0.23bA
North 44.25 ± 0.21aA 43.90 ± 0.23aA 51.71 ± 0.57bA 50.91 ± 0.11bA
East 43.78 ± 0.08aA 43.67 ± 0.32aA 50.75 ± 0.12bA 50.92 ± 0.45bA

 

Results depict average values ± S.D of two replicates. Different lowercase superscript letters in the same row reveal significant differences (P < 0.05). Different uppercase superscript letters in the same column reveal significant differences (P < 0.05).

Moisture Content

In this study, the moisture content for MPW was in the range of 78-84%, which, as expected, was significantly higher than MPC pineappleswith 70-75% moisture content (Table 8; P = 0.00). Our results are similar to Ramallo and Mascheroni (2010) who found the moisture content of MP pineapples to be 72%.38 Moisture content is an important marketing factor since water loss results in a wilted appearance, reduction in size, reduction in nutritional value, and loss of flavour.39 Significantly higher moisture content was found in supermarkets as compared to wet markets for both MPW (P = 0.01) and MPC (P = 0.02) pineapples. This could be explained by the fact that super-markets are enclosed areas while wet markets are open spaces where the fruits displayed are exposed to frequent air draughts. The difference could also be attributed to the display conditions of MP pineapples; in super-markets, MPW pineapples were typically packaged in a transparent plastic bag with its ends tied with an elastic band as opposed to wet markets where they were typically placed in open plastic bags.

Table 8: Moisture content (%) of MPW and MPC pineapples sourced from wet markets and supermarkets in different regions of Mauritius

Regions MPW MPC
Wet market Supermarket Wet market Supermarket
South 77.72 ± 0.49aA 81.39 ± 0.56aA 71.41 ± 1.05bA 72.19 ± 1.41bA
Central 81.72 ± 0.76aA 82.43 ± 0.88aA 74.84 ± 0.43bA 75.24 ± 0.94bA
Central North 80.39 ± 1.02aA 81.24 ± 2.11aA 72.51 ± 1.40bA 74.11 ± 0.89bA
North 79.21 ± 0.66aA 80.95 ± 1.50aA 70.29 ± 0.86bA 74.13 ± 1.17bA
East 80.44 ± 0.37aA 83.73 ± 0.76aA 73.53 ± 2.18bA 75.39 ± 1.03bA

 

Results depict average values ± S.D of two replicates. Different lowercase superscript letters in the same row reveal significant differences (P < 0.05). Different uppercase superscript letters in the same column reveal significant differences (P < 0.05).

Vitamin C content

As shown in Table 9, the vitamin C content of MP pineapples varied from 21.60 to 28.99mg/100g. As stated by Saito et al., (2007), ascorbic acid is the vitamin that usually degrades most rapidly and can be used as an index for freshness.40 Any type of cutting or bruising of the flesh will cause leaching of enzymes like ascorbate oxidase, which act on ascorbic acid when it comes into contact with oxygen.41 This results in a loss in vitamin C, which gets converted to L-dehydroascorbic acid. Our findings are comparable with those of Uckiah et al., (2006) and Marrero and Kader (2006) who found that the average ascorbic acid content of freshly peeled pineapples of Queen Victoria and the Smooth Cayenne variety (Cultivar SC3620) to be 24.8mg/100 mg and 26mg/100g, respectively.2,42

Table 9: Vitamin C content (mg/100g) of MPW and MPC pineapples sourced from wet markets and supermarkets in different regions of Mauritius

Regions MPW MPC
Wet market Supermarket Wet market Supermarket
South 28.99 ± 0.72aA 26.08 ± 1.22abA 24.37 ± 0.45bA 23.33 ± 0.64bA
Central 26.47 ± 1.12aA 24.37 ± 0.85aA 23.70 ± 1.21aA 26.23 ± 0.48aA
Central North 25.33 ± 0.73aA 25.3 ± 1.33aA 21.60 ± 0.73aA 22.57 ± 1.77aA
North 24.87 ± 1.68aA 26.97 ± 0.58aA 22.90 ± 0.49aA 22.37 ± 0.87aA
East 26.27 ± 0.95aA 27.83 ± 1.68aA 23.43 ± 1.54aA 23.40 ± 0.56aA

 

Results depict average values ± S.D of two replicates. Different lowercase superscript letters in the same row reveal significant differences (P < 0.05). Different uppercase superscript letters in the same column reveal significant differences (P < 0.05).

Sensory Evaluation of MP Pineapples

The sensory test in this research focused on four attributes: ‘Overall Appearance’, ‘Aroma’, ‘Texture’, and ‘Colour’.

Figure 1 Figure 1: Sensory scores for MPW pineapples sourced from wet markets and supermarkets in different regions of Mauritius 

Click here to View figure

 

Figure 2 Figure 2: Sensory scores for MPC pineapples sourced from wet markets and supermarkets in different regions of Mauritius 

Click here to View figure

 

Figures 1 and 2 compare the summed scores of all 10 panellists for the different sensory parameters for MPW and MPC pineapples, respectively. This study shows that MPC pineapples generally earned higher scores for aroma than their MPW counterparts by a maximum of 23 points. Aroma is often associated with volatile compounds synthesised when the pineapple flesh is exposed.43 The texture of MPC pineapples (53-72 points) was also consistently better than that of MPW pineapples (50-65 points) purchased from the same retail outlets. In addition, we also noted consistently higher texture scores for MPC and MPW pineapples from supermarkets, which could be attributed to the temperature at which they are displayed during retailing. In this study, panellists were not asked to taste or chew the product; instead, the data refer to the texture when the samples were picked up or touched, that is, the hand-feel rather than mouth-feel. Since consumers often expect fresh-cut products to be firm and crunchy,44 firmness and texture can be used as additional indices of freshness and quality.45, 46

Taken together, the ‘Overall Appearance’, ‘Aroma’, and ‘Colour’ of MPC pineapples were graded as ‘Good’ with their summed scores falling in the range of 70-90 points, although the ‘Texture’ attribute got a ‘Fair’ grade. On the other hand for MPW pineapples, only the ‘Overall Appearance’ was rated as ‘Good’ while ‘Aroma’, ‘Colour’, and ‘Texture’ obtained a ‘Fair’ grade.

Determination of Microbiological Shelf-Life of MP Pineapples

Shelf-life can be defined as the length of time that corresponds to a tolerable loss in quality of food products.47 Sensory shelf-life and microbiological shelf-life of fresh-cut produce are usually analogous but differences can arise depending on the product type or extrinsic factors such as storage temperature.48Pseudomonas species are considered as one of the most important spoilage microorganisms in fresh-cut produce limiting its shelf-life.49 According to Palleroni and Moore (2004), most members of Group 1 pseudomonads are psychrotrophic and are commonly responsible for chilled food spoilage.50

Figure 3 Figure 3: Survival of P. fluorescens on MPC pineapples stored at room temperature (29°C) 

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Figure 4 Figure 4: Survival of P. fluorescens on MPC pineapples stored at refrigeration temperature (4°C) 

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Figures 3 and 4 depict the survival curves of P. fluorescens inoculated on MPC pineapples stored at room (29°C) and refrigeration (4°C) temperatures, respectively. The population of P. fluorescens from MPC pineapples decreased slightly over the 7-hour period from 5.0 Log CFU/g to 4.4 Log CFU/g while at 4°C, the population decreased from 5.0 to 4.0 Log CFU/g when stored for up to 5 days. This decrease can be explained by the relatively high acidity (pH < 5), characteristic of pineapples. Moreover, the high percentage of unfermentable fibre, characteristic of pineapples, could have decreased the availability of nutrients for bacterial metabolism.51 Hence, high acidity coupled with low nutrient availability could have inhibited the growth of P. fluorescens in pineapple flesh.

Since the population density of the SSO did not reach 7 Log CFU/g, which typically marks the onset of spoilage, the shelf-life of MP pineapples is estimated to be >7 hours and >5 days when stored at room and refrigeration temperatures, respectively. According to Barth et al., (2009), the shelf-life of fresh-cut fruits usually ranges from 1 to 35 days depending on storage temperatures, preparation methods, and packaging methods.24 For instance, Joseph-Adekunle et al., (2010) showed that the onset of spoilage for fresh pineapples started on the third day of storage, with notable spoilage after 15 days, under ambient (27°C) and intense (37°C) heat storage conditions, while refrigerated (10°C) pineapples remained unspoiled for up to 33 days.52 In contrast, another study by Marrero and Kader (2001) reported the storage life of pineapple pieces from 4 days at 10°C to over 2 weeks at 0°C.53

The population data of P. fluorescens from the challenge study was fitted with ComBase Predictor, Sym’Previus, and IPMP 2013 with varying degrees of fit (R2 ranging from 0.885 to 0.972). The growth rates extracted from the fitted functions ranged from -0.04 to -0.158 hr-1. None of the growth rates determined by fitting the curves to the Baranyi and Roberts model of ComBase, linear model of ComBase, Sym’Previus, or IPMP was in agreement with the predicted growth rate obtained using the predictor module of ComBase. In fact, ComBasepredictor yielded widely different growth rates of +0.044 and +0.433 hr-1 for pseudomonads when the pH was set at 5, starting population set at 5 Log CFU/g and temperature set at 4°C and 29°C, respectively. Hence, none of the modelling tools and fitting functions studied could be applied in the shelf-life prediction of MP pineapple products (Table 10).

Table 10: Growth Parameters extracted after fitting P. fluorescens growth data to different models

Software Model Temp.(°C) µmax(hr-1) No(Log CFU/g) ymax(Log CFU/g) Goodness-of-fit Statistics
ComBase Baranyi and Roberts 4 -0.158 ± 0.0237 4.488 ± 0.04 3.936 ± 0.0386 R2 = 0.957
ComBase Linear 4 -0.117 ± 0.0146 4.786 ± 0.0719 N/A R2 = 0.927
Sym’Previus Zwietering 4 -0.011 ± 0.001 4.44 ± 0.04 N/A R2 = 0.942
IPMP 2013 Reduced growth, No lag 4 0.000 ± 0.147 4.822 3.8 RMSE = 0.074
IPMP 2013 Reduced growth, Baranyi 4 -0.04 ± 0.085 4.769 ± 0.034 N/A RMSE = 0.039
ComBase Baranyi and Roberts 29 -0.141 ± 0.0235 5.0487 ± 0.0396 4.44 ± 0.026 R2 = 0.972
ComBase Linear 29 -0.0922 ± 0.0125 4.976 ± 0.0522 N/A R2 = 0.885
Sym’Previus Zwietering 29 N/A N/A N/A N/A
IPMP 2013 Reduced growth, No lag 29 -0.144 ± 0.061 5.074 ± 0.034 4.144 ± 0.171 RMSE = 0.072
IPMP 2013 Reduced growth, Baranyi 29 -0.365 ± 0.058 5.072 ± 0.028 4.144 ± 0.171 RMSE = 0.072

µmax – Maximum specific growth rate; N/A – Not available; No – Inoculation level of a batch culture; RMSE – Root-Mean-Square Error; Temp. – Temperature; ymax– Natural logarithm of maximum population density

Conclusion

Taken together, this study revealed that MPW and MPC pineapples sourced from wet markets and super-markets had a satisfactory microbiological, nutritional, and sensorial quality. Shelf-life challenge tests based on the development of the specific spoilage organism P. fluorescens demonstrated that the microbiological shelf-life of MP pineapples, under good storage practices, was >7 hours when stored at ambient temperatures and >5 days at refrigerated temperatures.

Acknowledgements

The authors would like to thank the University of Mauritius for supporting this project in-kind.

Conflict of Interest

The authors declare that they have no competing interests.

References

  1. Hardowar S., Chikhuri N. Comprehensive Africa Agriculture Development Programme in Mauritius. Latvia, European Union: SIA OmniScriptum Publishing; 2017.
  2. Uckiah A., Goburdhun D., Ruggoo A. Vitamin C content during processing and storage of pineapple. Nutr Food Sci. 2006;39(4):398412. DOI: 10.1108/00346650910976275
    CrossRef
  3. Burhooa K, Ranghoo-Sanmukhiya V. M. Evaluation of Different Pineapple (AnanascomosusMerr L.) Varieties Using Morphological and Genetic Markers in Mauritius. Biotechnol. 2012;11:272-279. DOI: 10.3923/biotech.2012.272.279
    CrossRef
  4. Kitinoja L., Gorny J. (Eds.) Fresh-Cut Produce. In: Postharvest Technology for Small-Scale Produce Marketers: Economic Opportunities, Quality and Food Safety. California, USA: UC Postharvest Technology; 1999:12.1-12.15.
  5. Hossain M. F., Akhtar S., Anwar M. Nutritional Value and Medicinal Benefits of Pineapple. Int J Nutr Food Sci. 2015;4(1):84-88. DOI: 10.11648/j.ijnfs.20150401.22
    CrossRef
  6. Opara L. U., Mazaud F. Food traceability from field to plate. Outlook Agric. 2001;30(4):239-247. DOI: 10.5367/000000001101293724
    CrossRef
  7. Microbiology of food and animal feeding stuff — Horizontal method for the enumeration of microorganisms — Colony-count technique at 30 degrees C (ISO 4833:2003). International Organization for Standardization. Available at: https://www.iso.org/standard/34524.html. Published: 2003. Updated: 2013. Accessed: 16.10.2017.
  8. Microbiology of food and animal feeding stuff — Horizontal method for the enumeration of yeasts and moulds — Part 1: Colony count technique in products with a water activity greater than 0,95 (ISO 21527-1:2008). International Organization for Standardization. Available at: https://www.iso.org/standard/38275.html. Published: 2008. Updated: 2017. Accessed: 16.10.2017.
  9. De Man J. C., Rogosa M., Sharpe M. E. A Medium for the Cultivation of Lactobacilli. J ApplBacteriol. 1960;23(1):130-135. DOI: 10.1111/j.1365-2672.1960.tb00188.x
    CrossRef
  10. Microbiology of food and animal feeding stuff — Horizontal method for the enumeration of coagulase-positive staphylococci (Staphylococcus aureus and other species) — Part 1: Technique using Baird-Parker agar medium (ISO 6888-1:1999). International Organization for Standardization. Available at: https://www.iso.org/standard/23036.html. Published: 1999. Updated: 2015. Accessed: 16.10.2017.
  11. Rangarajan S., Loganathan P., Saleena L. M., Nair S. Diversity of pseudomonads isolated from three different plant rhizospheres. J ApplBacteriol. 2008;91(4):742-749. DOI: 10.1046/j.1365-2672.2001.01442.x
    CrossRef
  12. Vegetable Products, Processed (Method Number 981.12). In: Helrich K. C. (Ed.) Official Methods of Analysis of the Association of Official Analytical Chemists. Volume 2: Food Composition, Additives, Natural Contaminants, 15th Edition. Virginia, USA: Assocation of Official Analytical Chemists Inc.; 1990:988.
  13. Food Additives: Direct (Method Number 967.21). In: Cunniff P. (Ed.) Official Methods of Analysis of AOAC International. Volume 2: Food Composition, Additives, Natural Contaminants, 16th Edition, 5th Revision. Maryland, USA: AOAC International; 1999:16-17.
  14. Ceirwyn S. J. General Food Studies. In: Ceirwyn S. J. (Ed.) Analytical Chemistry of Foods. New York, USA: Springer US; 1995:138-139.
  15. Baranyi J., Tamplin M. L. ComBase: a common database on microbial responses to food environments. J Food Prot. 2004;67(9):1967-1971.
    CrossRef
  16. Leporq B., Membré J. M., Dervin C., Buche P., Guyonnet J. P. The “Sym’Previus” software, a tool to support decisions to the foodstuff safety. Int J Food Microbiol. 2005;100(1-3):231-237. DOI: 10.1016/j.ijfoodmicro.2004.10.006
    CrossRef
  17. Huang L. IPMP 2013 – A comprehensive data analysis tool for predictive microbiology. Int J Food Microbiol. 2014;171:100-107. DOI: 10.1016/j.ijfoodmicro.2013.11.019
    CrossRef
  18. Braun P. G., Sutherland J. P. Modelling microbial food spoilage. In: Blackburn C. de W. (Ed.) Food Spoilage Microorganisms. Cambridge, UK: Woodhead Publishing; 2006:86-118. DOI: 10.1533/9781845691417.1.86
    CrossRef
  19. Jay J. M. Vegetable and Fruit Products. In: Jay J. M., Loessner M. J., Golden D. A. (Eds.) Modern Food Microbiology. 7th New York, USA: Springer Science+Business Media; 2005:125-147.
  20. Danyen S. M., Boodia N., Ruggoo A. Effect of cutting shapes and thicknesses on the quality of minimally processed pineapple (Ananascomosus), cv. ‘Queen Victoria’. Afr J Food Agric NutrDevel. 2011;11(7):5525-5538.
  21. Onuorah S. C., Udemezue O. I., Uche J. C., Okoli I. C. Fungi Associated with the Spoilage of Pineapple Fruits in Eke Awka Market Anambra State. Bioscientist. 2013;1(1):22-27.
  22. Barth M., Hankinson T. R., Zhuang H., Breidt F. Microbiological Spoilage of Fruits and Vegetables. In: Sperber W. H., Doyle M. P. (Eds.) Compendium of the Microbiological Spoilage of Foods and Beverages. New York, USA: Springer-Verlag; 2009:135-183. DOI: 10.1007/978-1-4419-0826-1_6
    CrossRef
  23. O’Connor-Shaw R. E., Roberts R., Ford A. L., Nottingham S. M. Shelf Life of Minimally Processed Honeydew, Kiwifruit, Papaya, Pineapple and Cantaloupe. J Food Sci. 1994;59(6):1202-1206. DOI: 10.1111/j.1365-2621.1994.tb14676.x
    CrossRef
  24. Allende A., Jacxsens L., Devlieghere F., Debevere J., Artés F. Effect of super-atmospheric oxygen packaging on sensorial quality, spoilage, and Listeria monocytogenes and Aeromonas caviae growth in fresh processed mixed salads. J Food Prot. 2002;65(10):1565-1573.
    CrossRef
  25. Jacxsens L., Devlieghere F., Ragaert P., Vanneste E., Debevere J. Relation between microbiological quality, metabolite production and sensory quality of equilibrium modified atmosphere packaged fresh-cut produce. Int J Food Microbiol. 2003;83(3):263-280.
    CrossRef
  26. Jay J. M. (Ed.) Microorganisms in Foods – Fruit and Vegetable Products: Whole, Fresh-Cut, and Fermented. In: Modern Food Microbiology. Maryland, USA: Aspen Publishers; 2000:131-163.
    CrossRef
  27. Thapar P., Garcha S. Incidence and characterization of Pseudomonas species isolated from spoilt fresh produce. Indian J Exp Biol. 2017;55(06):372-376.
  28. Gil M. I., Kader A. A. Fresh-cut fruit and vegetables. In: Tomás-Barberán F. A, Gil M. I. (Eds.) Improving the Health-Promoting Properties of Fruit and Vegetable Products. Cambridge, UK: Woodhead Publishing; 2008:475-504. DOI: 10.1533/9781845694289.5.475
    CrossRef
  29. Roberts T. A., Cordier J.-L., Gram L., Tompkin R. B., Pitt J. I., Gorris L. G., Swanson K. M. J. (Eds.) Fruits and fruit products. In: Microorganisms in Foods 6 – Microbial Ecology of Food Commodities. 2nd New York, USA: Springer-Verlag; 2005:326-359. DOI: 10.1007/0-387-28801-5_6
    CrossRef
  30. Gallotta A., Allegra A., Inglese P., Sortino G. Fresh-cut storage of fruit and fresh-cuts affects the behaviour of minimally processed Big Bang nectarines (Prunus persica Batsch) during shelf life. Food Pack Shelf Life. 2018;15:62-68. DOI: 10.1016/j.fpsl.2017.11.004
    CrossRef
  31. Saltveit M. E. Effect of 1-methyl cyclopropene on phenylpropanoid metabolism, the accumulation of phenolic compounds, and browning of whole and fresh-cut ‘iceberg’ lettuce. Postharvest Biol Technol. 2004;34(1):75-80. DOI: 10.1016/j.postharvbio.2004.05.001
    CrossRef
  32. Khatoo U. A study on the influence of harvest maturities on the shelf-life of fresh-cut pineapples. [BSc. Thesis] Réduit, Mauritius: University of Mauritius; 2008.
  33. Lunadei L., Galleguillos P., Diezma B., Lleó L., Ruiz-Garcia L. A multispectral vision system to evaluate enzymatic browning in fresh-cut apple slices. Postharvest Biol Technol. 2011;60(3):225-234. DOI:10.1016/j.postharvbio.2011.02.001
    CrossRef
  34. He Q., Luo Y. Enzymatic browning and its control in fresh-cut produce. Stewart Postharvest Rev. 2007;3(6):1-7. DOI: 10.2212/spr.2007.6.3
    CrossRef
  35. Crisosto C. H., Crisosto G., Neri F. Understanding Tree Fruit Quality Based On Consumer Acceptance. Acta Hort. 2006;712:183-190. DOI: 10.17660/ActaHortic.2006.712.18
    CrossRef
  36. Turatti A. Innovations in fresh-cut fruit process lines. Acta Hort. 2016;1141:21-34. DOI:10.17660/ActaHortic.2016.1141.3
    CrossRef
  37. Ramkissoon A. Sanitary practices in local pineapple export industry. [BSc. Thesis] Réduit, Mauritius: University of Mauritius; 2012.
  38. Ramallo L. A., Mascheroni R. H. Dehydrofreezing of pineapple. J Food Eng. 2010;99(3):269-275. DOI: 10.1016/j.jfoodeng.2010.02.026
    CrossRef
  39. Jeong Y., Jang Y.-A. Chang Y. H., Lee Y. Prediction of consumer acceptability of potato chips with various moisture contents using survival analysis. Food Sci Biotechnol. 2013;22(6):1621-1627. DOI: 10.1007/s10068-013-0259-6
    CrossRef
  40. Saito M., Rai D. R., Masuda M. Effect of Modified Atmosphere Packaging on Glutathione and Ascorbic Acid Content of Asparagus Spears. J Food Process Preserv. 2007;24(3):243-251. DOI: 10.1111/j.1745-4549.2000.tb00416.x
    CrossRef
  41. Al Fata N., Georgé S., Dlalah N., Renard C. M. G. C. Influence of partial pressure of oxygen on ascorbic acid degradation at canning temperature. Innov Food Sci Emerg Technol. 2018;49:215-221. DOI:10.1016/j.ifset.2017.11.007
    CrossRef
  42. Marrero A., Kader A. A. Optimal temperature and modified atmosphere for keeping quality of fresh-cut pineapples. Postharvest Biol Technol. 2006;39(2):163-168. DOI: 10.1016/j.postharvbio.2005.10.017
    CrossRef
  43. Kaewtathip T., Charoenrein S. Changes in volatile aroma compounds of pineapple (Ananascomosus) during freezing and thawing. Int J Food Sci Technol. 2012;47(5):985-990. DOI: 10.1111/j.1365-2621.2011.02931.x
    CrossRef
  44. Fillion L., Kilcast D. Consumer perception of crispness and crunchiness in fruits and vegetables. Food Qual Prefer. 2002;13(1):23-29. DOI: 10.1016/S0950-3293(01)00053-2
    CrossRef
  45. Francis G. A., Gallone A., Nychas G. J., Sofos J. N., Colelli G., Amodio M. I., Spano G. Factors Affecting Quality and Safety of Fresh-Cut Produce. Crit Rev Food Sci Nutr. 2012;53(7):595-610. DOI: 10.1080/10408398.2010.503685
    CrossRef
  46. Cantwell M.I., Suslow T. V. Postharvest Handling Systems: Fresh-Cut Fruits and Vegetables. In: Kader A. A (Ed.) Postharvest Technology of Horticultural Crops. 3rd Davis, USA: University of California; 2002:445-463.
  47. Ergun M., Karakurt Y., Huber D. J. Cell wall modification in 1-methyl cyclopropene-treated post-climacteric fresh-cut and intact papaya fruit. Plant Growth Regul. 2011;65(3):485-494. DOI: 10.1007/s10725-011-9619-5
    CrossRef
  48. Kilcast D., Subramaniam P. (Eds.) The Stability and Shelf-Life of Food. Cambridge, UK: Woodhead Publishing; 2000.
  49. Qadri O. S., Yousuf B., Srivastava A. K. Fresh-cut fruits and vegetables: Critical factors influencing microbiology and novel approaches to prevent microbial risks—A review.Cogent Food Agric. 2015;1(1). DOI: 10.1080/23311932.2015.1121606
    CrossRef
  50. Palleroni N. J., Moore E. R. B. (Eds.) Taxonomy of Pseudomonads: Experimental Approaches. New York, USA: Springer Science+Business Media; 2004. DOI: 10.1007/978-1-4419-9086-0_1
    CrossRef
  51. Mutaku I., Erku W., Ashenafi M. Growth and survival of Escherichia coli O157: H7 in fresh tropical fruit juices at ambient and cold temperatures. Int J Food Sci Nutr. 2005;56(2):133-139. DOI: 10.1080/09637480500082439
    CrossRef
  52. Joseph-Adekunle T., Okelana M. A., Adekoya I. A. Storage of pineapple fruits under different conditions: implication on shelf life. Niger J Hortic Sci. 2010:14(1). DOI: 10.4314/njhs.v14i1.62161
    CrossRef
  53. Marrero A., Kader A. A. Factors affecting the post-cutting life and quality of minimally processed pineapple. Acta Hort. 2001;553:705-706. DOI: 10.17660/ActaHortic.2001.553.175
    CrossRef


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