Cited by 0Coconut Research and ApplicationsPostharvest Quality and Shelf Life ManagementFood Safety and Hygiene

Studying microbial load assessment of coconut in the Baltic Shore

Open access
Nyarko, Daniel, Amoah, Grace·2025·International Journal of Horticulture and Food Science

Abstract

One often-overlooked aspect of coconut food safety is how rapidly microbial populations in coconut water multiply once the shell is opened, particularly in warmer climates where cold-chain access is limited. This research assessed microbial load dynamics in coconut (Cocos nucifera L.) water from six cultivar groups under three storage temperatures at the Ho Foundation for Pomological Research, Ho, Volta, Ghana, from March to October 2023. A factorial design (six cultivars by three temperatures by five storage durations) with three replications was used. Total aerobic count, coliform count, and yeast-mould count were measured alongside RAPD-based genetic profiling and AMMI stability analysis of coconut yield data from raised bed and flat bed cultivation trials. Heat stress effects on microbial growth kinetics were quantified. Biomass production under different cultivation methods was recorded. Refrigerated storage (4 degrees Celsius) maintained microbial loads below the 6 log CFU/mL safety threshold for 15 days, while ambient (25 degrees Celsius) and elevated (37 degrees Celsius) temperatures breached the limit by days 6 and 4, respectively. RAPD analysis revealed moderate genetic diversity (polymorphism 62.4%) and identified three cultivar groups with slower microbial growth profiles. AMMI analysis showed that environmental effects explained 47.3% of yield variance in the cultivation trial. Raised bed cultivation increased coconut biomass by 19.8% over flat beds. These results provide practical guidance for cold-chain management and cultivar selection in coconut water safety programs.

AI snapshot

Written from the paper’s full text.

TL;DR

In a factorial study of coconut water from six cultivar groups stored at 4, 25, and 37°C, refrigeration kept microbial loads below the 6 log CFU/mL safety threshold through day 15, while warmer storage breached it by days 6 and 4. RAPD profiling found 62.4% polymorphism and three slower-growth cultivar groups, and raised-bed cultivation increased biomass by 19.8% over flat beds.

Key findings

  • Refrigerated storage at 4°C stayed below the 6 log CFU/mL safety threshold through day 15 (4.1 log CFU/mL at day 15); the text reports ambient 25°C and elevated 37°C breached the threshold by days 6 and 4, respectively. Growth rate constants were 0.19, 0.43, and 0.57 log CFU/mL/day at 4, 25, and 37°C. Table 1 lists 25°C at 5.8 log CFU/mL on day 6 and 6.8 on day 9, and 37°C at 7.1 log CFU/mL on day 6.
  • RAPD analysis revealed 62.4% polymorphism and identified three cultivar groups with slower microbial growth profiles. Higher sugar content correlated positively with faster microbial growth (r = 0.71, P < 0.01), while phenolic content showed a weak negative correlation (r = -0.34).
  • AMMI analysis partitioned yield variance into 47.3% environmental, 29.1% genotypic, and 16.8% interaction effects. Raised bed cultivation increased coconut biomass by 19.8% over flat beds.
  • Phytochemical screening found total sugar ranging from 2.8 to 4.6 g/100mL and protein from 0.1 to 0.3 g/100mL across cultivar groups.

Methods

  • The microbial trial used six coconut cultivar groups (three tall, two dwarf, one hybrid) at the Ho Foundation for Pomological Research, Ho, Volta, Ghana, with a factorial design across three storage temperatures (4, 25, 37°C), sampling days 0, 3, 6, 9, and 15, and three replications; total aerobic, coliform, and yeast/mould counts were measured.
  • RAPD-PCR used 15 decamer primers (Operon OPA/OPB) with POPGENE version 1.32; AMMI analysis was applied to a separate 3 x 6 trial (3 cultivation methods x 6 cultivar groups x 3 reps) using the agricolae package in R; biomass was measured by oven-drying frond litter, inflorescence residues, and husk from tagged palms.
  • Phytochemical screening measured total sugars, total protein, potassium and sodium, and total phenolics; data were analysed by ANOVA and regression in R version 4.3.1.

Limitations

  • The paper does not include a formal limitations section; it states future work should test pasteurisation and natural preservative combinations alongside cold storage to extend shelf life further.
  • Evident from the text: findings come from one site/region (Ho, Volta, Ghana), six cultivar groups, and controlled laboratory storage, so generalizability to other cultivars, climates, or market conditions is not established.
  • Evident from the text: storage-duration reporting is inconsistent—the abstract says five storage durations, the methods say six time points, and Table 1 reports five time points (days 0, 3, 6, 9, 15); the text also says ambient storage breached the 6 log threshold by day 6 while Table 1 shows 5.8 log CFU/mL at day 6.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.33545/26631067.2025.v7.i12c.702

Cites

6 of 6 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

0 of 16 cited sources checked · 0 supported · 0 flagged

  • Findingown data
    § Phytochemical Screening

    Protein content in coconut water ranged from 0.1 to 0.3 g/100mL across cultivar groups.

    “Protein content was low (0.1 to 0.3 g/100mL) but varied significantly among groups.”
    Quote in the paperNot a substantial claim
  • Findingown data
    § Abstract

    AMMI analysis showed that environmental effects explained 47.3% of yield variance in the cultivation trial.

    “AMMI analysis showed that environmental effects explained 47.3% of yield variance in the cultivation trial.”
    • Also stated in: § Discussion · plain
      “The AMMI analysis partitioned yield variance into 47.3% environmental, 29.1% genotypic, and 16.8% interaction effects, suggesting that both site management and cultivar choice matter for productivity.”
    Quote in the paperNot a substantial claim
  • Findingcitation
    § Discussion

    Lower water sugar content in the three cultivar groups correlated with slower microbial growth.

    “Three cultivar groups clustered together and shared lower water sugar content, which correlated with slower microbial growth; these groups may merit prioritisation in fresh-water coconut programs [6,8] .”
    Quote in the paperSubstantial claim
  • Findingown data
    § Abstract

    RAPD analysis identified three cultivar groups with slower microbial growth profiles.

    “RAPD analysis revealed moderate genetic diversity (polymorphism 62.4%) and identified three cultivar groups with slower microbial growth profiles.”
    • Also stated in: § Discussion · plain
      “Three cultivar groups clustered together and shared lower water sugar content, which correlated with slower microbial growth; these groups may merit prioritisation in fresh-water coconut programs [6,8] .”
    Quote in the paperSubstantial claim
  • Findingown data
    § Results

    Growth rate constants for microbial load in coconut water were 0.19, 0.43, and 0.57 log CFU/mL/day at 4, 25, and 37°C, respectively.

    “Growth rate constants were 0.19, 0.43, and 0.57 log CFU/mL/day at 4, 25, and 37 degrees Celsius respectively.”
    Quote in the paperSubstantial claim
  • May combine two claims. 4
  • Classified as probably not a substantial claim. 12
  • May combine two claims.

    Findingcitation
    § Discussion

    Three cultivar groups clustered together and shared lower water sugar content.

    “Three cultivar groups clustered together and shared lower water sugar content, which correlated with slower microbial growth; these groups may merit prioritisation in fresh-water coconut programs [6,8] .”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data
    § Conclusion

    AMMI analysis confirmed significant genotype-environment interaction for nut yield.

    “AMMI analysis confirmed significant genotype-environment interaction for nut yield.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Premisecitation
    § Introduction

    RAPD markers can capture genetic diversity among coconut cultivar groups.

    “RAPD markers can capture genetic diversity among coconut cultivar groups and may reveal associations between genotype and water composition traits that influence microbial growth [5] .”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [5]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation
    § Introduction

    Biomass production, measured as total above-ground dry weight, provides an integrated measure of palm health that correlates with nut yield and quality.

    “Biomass production, measured as total above-ground dry weight, provides an integrated measure of palm health that correlates with nut yield and quality [8] .”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [8]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § Introduction

    RAPD markers may reveal associations between genotype and water composition traits that influence microbial growth.

    “RAPD markers can capture genetic diversity among coconut cultivar groups and may reveal associations between genotype and water composition traits that influence microbial growth [5] .”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [5]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § Introduction

    Small differences in storage temperature can shift coconut water shelf life by several days.

    “Temperature is the single largest determinant of microbial growth rate in coconut water, and small differences in storage temperature can shift shelf life by several days [3] .”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [3]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationcitation
    § Discussion

    The moderate polymorphism reflects the relatively narrow genetic base of West African palm populations compared to Southeast Asian diversity centres.

    “RAPD analysis revealed 62.4% polymorphism across the six cultivar groups, which is moderate for coconut and reflects the relatively narrow genetic base of West African palm populations compared to Southeast Asian diversity centres [5] .”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [5]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § Introduction

    The AMMI model is widely used in crop breeding to dissect genotype-by-environment interactions.

    “The AMMI model, widely used in crop breeding to dissect genotype-by-environment interactions, could be applied to coconut yield data to identify stable cultivars for raised bed production systems, which improve drainage and root aeration in waterlogged lowland soils [6, 7] .”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [6]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites [7]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Interpretationown data
    § Discussion

    Both site management and cultivar choice matter for coconut productivity.

    “The AMMI analysis partitioned yield variance into 47.3% environmental, 29.1% genotypic, and 16.8% interaction effects, suggesting that both site management and cultivar choice matter for productivity.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationcitation
    § Discussion

    The 62.4% polymorphism observed across the six coconut cultivar groups is moderate for coconut.

    “RAPD analysis revealed 62.4% polymorphism across the six cultivar groups, which is moderate for coconut and reflects the relatively narrow genetic base of West African palm populations compared to Southeast Asian diversity centres [5] .”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [5]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation
    § Introduction

    Raised bed production systems improve drainage and root aeration in waterlogged lowland soils.

    “The AMMI model, widely used in crop breeding to dissect genotype-by-environment interactions, could be applied to coconut yield data to identify stable cultivars for raised bed production systems, which improve drainage and root aeration in waterlogged lowland soils [6, 7] .”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [6]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites [7]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § Introduction

    Heat stress during palm growth may alter the biochemical composition of nut water, indirectly affecting its microbial susceptibility by changing sugar, protein, and mineral balances.

    “Heat stress during palm growth may also alter the biochemical composition of the nut water, indirectly affecting its microbial susceptibility by changing sugar, protein, and mineral balances [4] .”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [4]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductcitation
    § Materials

    Institutional approval was granted for the study (Protocol HFPR-2023-007, approved 20 February 2023).

    “Institutional approval was granted (Protocol HFPR-2023-007, approved 20 February 2023) [6,7] .”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationcitation
    § Discussion

    Raised bed cultivation's 19.8% biomass advantage aligns with improved root zone aeration in the heavy clay soils typical of Ghana's Volta region.

    “Raised bed cultivation's 19.8% biomass advantage aligns with improved root zone aeration in the heavy clay soils typical of Ghana's Volta region [7] .”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [7]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

14 of 14
  • The paper relies on this without support.

    The 6 log CFU/mL threshold is a valid safety limit for microbial load in coconut water.

    “Refrigerated storage (4 degrees Celsius) maintained microbial loads below the 6 log CFU/mL safety threshold for 15 days, while ambient (25 degrees Celsius) and elevated (37 degrees Celsius) temperatures breached the limit by days 6 and 4, respectively.”
    “Fig 1 : Fig 1: Microbial load dynamics in coconut water over 15 days at three storage temperatures, with the 6 log CFU/mL safety threshold indicated”
  • The paper relies on this without support.

    The research is the first to integrate microbial load monitoring with RAPD genetic profiling and AMMI stability analysis under multiple temperature regimes.

    “The timeline (Figure 2) places this research as the first to integrate microbial load monitoring with RAPD genetic profiling and AMMI stability analysis under multiple temperature regimes.”
2 of 2

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • Ambient storage did not cross the safety threshold by day 6

    Major

    The results say ambient storage crossed the 6 log CFU/mL threshold by day 6, but Table 1 reports 5.8 at 25°C on day 6. The first listed value above the threshold is 6.8 on day 9.

  • The cultivation trial gives conflicting numbers of methods

    Major

    The cultivation trial is described as raised bed versus flat bed, but the AMMI trial design specifies three cultivation methods.

  • The factorial design gives conflicting numbers of storage durations

    Minor

    The abstract specifies five storage durations, whereas the methods specify six time points and list six sampling days.

3 of 3

Cites

Flagged first, then by citations

Research works printed but not linked: 10

  1. Anurag JK, Hemalatha S. Microbial quality of coconut water from different sources and storage conditions. Journal of Food Science and Technology. 2012;49(6):748-753.
  2. Yong JWH, Ge L, Ng YF, Tan SN. The chemical composition and biological properties of coconut water. Molecules. 2009;14(12):5144-5164.
  3. Olsen JK, Gounder RK. Alternatives to raised-bed tillage for waterlogged alluvial soils. Soil and Tillage Research. 2001;63(1-2):53-62.
  4. Foale MA. The coconut odyssey: the bounteous possibilities of the tree of life. ACIAR Monograph. 2003;101:1-132.
  5. Mandal D, Ghosh SK, Mondal B. Biochemical composition and quality attributes of tender coconut water from different coconut cultivars. Indian Coconut Journal. 2014;57(5):11-15.
  6. Harries HC. The evolution, dissemination and classification of Cocos nucifera L. Botanical Review. 1978;44(3):265-319.
  7. Kumar SN. Variability in coconut for carbon farming. In: Biodiversity and Climate Change. Springer. 2014;225-240.
  8. Assa RR, Konan JL, Prades A, Nemlin J, Koffi E. Physicochemical characteristics of some coconut water varieties. Journal of the Science of Food and Agriculture. 2010;90(6):1002-1007.
  9. Hebbar KB, Arivalagan M, Manikantan MR, Mathew AC, Thamban C, Thomas GV. Coconut inflorescence sap and its value addition as sugar: technological perspectives. Plantation Crops Research. 2015;44(3):168-175.
  10. Thampan PK. Handbook on Coconut Palm. Oxford and IBH Publishing. 1993;1-308.

Cited by

Still being checked.

Authors
Nyarko, D., & Amoah, G.
Venue
International Journal of Horticulture and Food Science
Published
2025-12-01
Volume
7
Issue
12
Pages
190-193
ISSN
  • 2663-1067 (ISSN-L)
  • 2663-1075
OpenAlex
W7160056978
Cited by
0
References
6
FWCI
0.00
Type
journal article
Open access
Locations
International Journal of Horticulture and Food Science (publishedVersion)
Topics
  • Physical Sciences › Chemistry › Inorganic Chemistry › Coconut Research and Applications
  • Life Sciences › Agricultural and Biological Sciences › Plant Science › Postharvest Quality and Shelf Life Management
  • Life Sciences › Agricultural and Biological Sciences › Food Science › Food Safety and Hygiene
Keywords
coconut water, Cocos nucifera, microbial load, food safety, storage temperature, cold chain, coconut cultivars, AMMI stability analysis, coconut yield, raised bed planting, heat stress, microbial growth kinetics, coliform bacteria, molds and yeasts

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