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Research article · 2025 · Full text

International Journal of Horticulture and Food Science

Exploring texture analysis of cardamom in the Malay Archipelago

Nguyen Van MinhTran Thi LanLê Thị Ngọc Anh

Volume 7(1) · Pages 221–224 · DOI: 10.33545/26631067.2025.v7.i1d.556 ↗

Research areasIndustrial Vision Systems and Defect DetectionImage Retrieval and Classification TechniquesSpectroscopy and Chemometric Analyses

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Abstract

Author-written

Texture might seem like an odd lens for examining a spice, but for cardamom destined for direct chewing, encapsulation, or high-value whole-pod markets, the mechanical properties of the capsule wall and seed determine shelf appeal and processing behavior. This research explored Texture Profile Analysis (TPA) of four cardamom varieties (Malabar, Mysore, Vazhukka, and ICRI-3) grown across three islands in the Malay Archipelago over a 12-month harvest cycle. Capsules were analyzed using a TA.XT Plus texture analyzer for hardness, cohesiveness, springiness, chewiness, and resilience at monthly intervals. Hardness varied from 20.8 N in the wet-season low (July) to 34.2 N at the dry-season peak (January) for the Malabar type, a seasonal swing of 39%. ICRI-3 showed the lowest hardness (26.3 N annual mean) and highest cohesiveness (0.76), making it the softest-chewing variety. Chewiness correlated positively with capsule wall thickness (r = 0.81, p<0.01) and negatively with moisture content (r = -0.73, p<0.01). Seasonal moisture fluctuations explained 54% of the temporal variance in hardness across all varieties. These results show that both genetic background and harvest timing strongly shape cardamom texture, with practical relevance for grading, packaging, and end-use selection.

Summary

Source-checked

Plain-language reading of the full paper, prepared with AI and checked against the text. Each point links to the authors' own words.

  1. Why it matters

    • The mechanical properties of cardamom capsule walls and seeds are critical for shelf appeal and processing, especially for products intended for encapsulation, direct chewing, or high-value markets. View evidence ↗

      Why it matters

      The mechanical properties of cardamom capsule walls and seeds are critical for shelf appeal and processing, especially for products intended for encapsulation, direct chewing, or high-value markets.

      In the paper's own words

      “for cardamom destined for direct chewing, encapsulation, or high-value whole-pod markets, the mechanical properties of the capsule wall and seed determine shelf appeal and processing behavior.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • The unique environmental conditions of the Malay Archipelago, including volcanic soils and specific elevation ranges (600 to 1,500 m), may alter the texture of cardamom compared to those grown in Indian highlands. View evidence ↗

      Why it matters

      The unique environmental conditions of the Malay Archipelago, including volcanic soils and specific elevation ranges (600 to 1,500 m), may alter the texture of cardamom compared to those grown in Indian highlands.

      In the paper's own words

      “Island climates with two monsoon seasons, volcanic soils, and elevation ranges from 600 to 1,500 m create conditions that may shift textural properties compared with Indian highland-grown cardamom”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Texture Profile Analysis (TPA) uses five parameters, hardness, cohesiveness, springiness, chewiness, and resilience, to describe how a food behaves during chewing. View evidence ↗

      Why it matters

      Texture Profile Analysis (TPA) uses five parameters, hardness, cohesiveness, springiness, chewiness, and resilience, to describe how a food behaves during chewing.

      In the paper's own words

      “Texture profile analysis... generates five parameters hardness, cohesiveness, springiness, chewiness, and resilience that together describe the mechanical behavior of a food during mastication.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  2. The question

    • The study aimed to determine which cardamom varieties and harvest times produce textures best suited for ground spice, encapsulation, or whole-pod retail. View evidence ↗

      The question

      The study aimed to determine which cardamom varieties and harvest times produce textures best suited for ground spice, encapsulation, or whole-pod retail.

      In the paper's own words

      “The aim was to identify which varieties and harvest windows produce capsules with textures suited to specific end uses: whole-pod retail, ground spice, or encapsulation”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  3. What they did

    • Four cardamom varieties (Malabar, Mysore, Vazhukka, and ICRI-3) were sampled monthly throughout 2023 from three sites: West Java, Cameron Highlands, and Bukidnon. View evidence ↗

      What they did

      Four cardamom varieties (Malabar, Mysore, Vazhukka, and ICRI-3) were sampled monthly throughout 2023 from three sites: West Java, Cameron Highlands, and Bukidnon.

      In the paper's own words

      “Cardamom capsules of four varieties Malabar, Mysore, Vazhukka, and ICRI-3 were collected monthly from January to December 2023 at three sites across the Malay Archipelago: West Java (Indonesia, 6.78°S, 107.61°E, 1,100 m), Cameron Highlands (Malaysia, 4.47°N, 101.38°E, 1,450 m), and Bukidnon (Philippines, 8.05°N, 125.09°E, 870 m).”

      Page 2

      Found in: Material and Methods Material

      Read it in the full textOpen PDF at page 2 ↗
    • Fifty capsules per variety were collected monthly at the green-mature stage, with twenty of those tested individually for texture. View evidence ↗

      What they did

      Fifty capsules per variety were collected monthly at the green-mature stage, with twenty of those tested individually for texture.

      In the paper's own words

      “At each site, 50 capsules per variety were hand-picked at green-mature stage on the 15th of each month.”

      Page 2

      “Twenty capsules per variety per month per site were tested individually.”

      Page 2

      Found in: Material and Methods Material

      Read it in the full textOpen PDF at page 2 ↗
    • TPA was conducted using a TA.XT Plus analyzer with a 5-mm probe, compressing capsules twice to 50% strain at 1 mm/s. View evidence ↗

      What they did

      TPA was conducted using a TA.XT Plus analyzer with a 5-mm probe, compressing capsules twice to 50% strain at 1 mm/s.

      In the paper's own words

      “Texture profile analysis was performed on a Stable Micro Systems TA.XT Plus fitted with a 5-mm cylindrical probe (P/5). Each capsule was compressed twice to 50% strain at 1 mm/s crosshead speed with a 5-second hold between compressions”

      Page 2

      Found in: Methods

      Read it in the full textOpen PDF at page 2 ↗
    • Physical properties were measured using a digital micrometer for wall thickness and a 105°C heating process for moisture content. View evidence ↗

      What they did

      Physical properties were measured using a digital micrometer for wall thickness and a 105°C heating process for moisture content.

      In the paper's own words

      “Capsule wall thickness was measured with a digital micrometer at the equatorial plane. Moisture content was determined at 105°C for 4 hours.”

      Page 2

      Found in: Methods

      Read it in the full textOpen PDF at page 2 ↗
  4. What they found

    • Malabar was identified as the hardest variety with a mean hardness of 34.2 N, while ICRI-3 was the softest at 26.3 N, representing a 23% difference. View evidence ↗

      What they found

      Malabar was identified as the hardest variety with a mean hardness of 34.2 N, while ICRI-3 was the softest at 26.3 N, representing a 23% difference.

      In the paper's own words

      “Malabar was the hardest variety (34.2 N) and ICRI-3 the softest (26.3 N), a difference of 23% (Table 1).”

      Page 2

      Found in: Methods

      Read it in the full textOpen PDF at page 2 ↗
    • The Malabar variety showed a 39% seasonal variation in hardness, ranging from a low of 20.8 N in July (wet season) to a peak of 34.2 N in January (dry season). View evidence ↗

      What they found

      The Malabar variety showed a 39% seasonal variation in hardness, ranging from a low of 20.8 N in July (wet season) to a peak of 34.2 N in January (dry season).

      In the paper's own words

      “Hardness varied from 20.8 N in the wet-season low (July) to 34.2 N at the dry-season peak (January) for the Malabar type, a seasonal swing of 39%.”

      Page 1

      Found in: Discussion

      Read it in the full textOpen PDF at page 1 ↗
    • Chewiness showed a strong positive correlation with wall thickness (r = 0.81) and a strong negative correlation with moisture content (r = -0.73). View evidence ↗

      What they found

      Chewiness showed a strong positive correlation with wall thickness (r = 0.81) and a strong negative correlation with moisture content (r = -0.73).

      In the paper's own words

      “Chewiness correlated positively with capsule wall thickness (r = 0.81, p<0.01) and negatively with moisture content (r = -0.73, p<0.01).”

      Page 1

      Found in: Methods

      Read it in the full textOpen PDF at page 1 ↗
    • Across all varieties, 54% of the month-to-month variance in hardness was explained by seasonal changes in moisture. View evidence ↗

      What they found

      Across all varieties, 54% of the month-to-month variance in hardness was explained by seasonal changes in moisture.

      In the paper's own words

      “Seasonal moisture fluctuations explained 54% of the temporal variance in hardness across all varieties.”

      Page 1

      Found in: Conclusion

      Read it in the full textOpen PDF at page 1 ↗
    • Wall thickness was the most effective physical predictor for both chewiness (r = 0.78) and hardness (r = 0.81). View evidence ↗

      What they found

      Wall thickness was the most effective physical predictor for both chewiness (r = 0.78) and hardness (r = 0.81).

      In the paper's own words

      “Capsule wall thickness was the strongest physical predictor of both hardness (r = 0.81) and chewiness (r = 0.78)”

      Page 3

      Found in: Methods

      Read it in the full textOpen PDF at page 3 ↗
  5. What it means

    • The authors conclude that ICRI-3 is best suited for direct-consumption markets due to its elasticity, whereas Malabar is better for premium whole-pod channels due to its rigidity. View evidence ↗

      What it means

      The authors conclude that ICRI-3 is best suited for direct-consumption markets due to its elasticity, whereas Malabar is better for premium whole-pod channels due to its rigidity.

      In the paper's own words

      “ICRI-3's high cohesiveness and springiness position it for direct-consumption markets, while Malabar's rigidity suits whole-pod premium channels.”

      Page 3

      Found in: Conclusion

      Read it in the full textOpen PDF at page 3 ↗
    • The strong correlation between wall thickness and hardness suggests that non-destructive sorting based on thickness is a viable practical alternative to destructive TPA testing. View evidence ↗

      What it means

      The strong correlation between wall thickness and hardness suggests that non-destructive sorting based on thickness is a viable practical alternative to destructive TPA testing.

      In the paper's own words

      “Wall thickness emerged as the best physical predictor of texture (r = 0.81 with hardness), suggesting a practical route for non-destructive quality sorting.”

      Page 3

      Found in: Conclusion

      Read it in the full textOpen PDF at page 3 ↗

Visual summary

1 visuals

Illustrations explain the paper; charts are replotted from the paper's own table values.

Replotted from source data
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.↗ Enlarge
Hardness (N): Malabar vs Mysore vs Vazhukka vs ICRI-3
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

Hardness (N): Malabar vs Mysore vs Vazhukka vs ICRI-3

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

View source evidence ↗

Figures & tables

From the original paper
Annual mean texture parameters of four cardamom varieties across three Malay Archipelago sitesTable 1Page 2Monthly variation in hardness and chewiness of Malabar cardamom over a 12-month harvest cycleFigure 1Page 2Correlation matrix between texture parameters and physical properties of cardamom capsulesTable 2Page 3Heatmap of normalized texture parameters across four cardamom varieties with absolute values shown in cellsFigure 2Page 3
FULL TEXT Original article · reflowed for reading

Introduction

Bite into a cardamom pod and the experience tells you more than any chemical assay: the crack of the capsule wall, the gritty resistance of the seeds, the release of volatile oils as cell structures rupture. These are textural events, and they matter to consumers, food manufacturers, and spice graders in ways that aroma and color analyses don't fully capture [1,2] . Yet texture remains one of the least studied quality dimensions of cardamom. The Malay Archipelago Indonesia, Malaysia, the Philippines, and surrounding islands produces a growing share of the world's small cardamom (Elettaria cardamomum), supplementing the traditional supply from India and Guatemala [3] . Island climates with two monsoon seasons, volcanic soils, and elevation ranges from 600 to 1,500 m create conditions that may shift textural properties compared with Indian highland-grown cardamom [4,5] . Texture profile analysis, developed originally for processed foods, applies a two-cycle compression test that mimics the chewing action of human jaws [6] . It generates five parameters hardness, cohesiveness, springiness, chewiness, and resilience that together describe the mechanical behavior of a food during mastication. For whole spice pods, hardness reflects capsule wall rigidity, while chewiness captures the effort needed to break down the product to a swallowable state [7] . This research tracked TPA parameters across four varieties and 12 months to separate genetic from seasonal effects. The aim was to identify which varieties and harvest windows produce capsules with textures suited to specific end uses: whole-pod retail, ground spice, or encapsulation [8,9] .

Crop growth stage documentation

Cardamom plants at the trial sites followed a continuous flowering pattern typical of tropical perennials, with peak flowering during March-April and a secondary flush in September-October. Capsule maturation took 90-120 days from flower opening. Harvesting occurred year-round at the green-mature stage, when capsules had reached full size but had not yet begun to split. Growth stages were documented using a modified BBCH scale adapted for Zingiberaceae: principal stage 6 (flowering), 7 (fruit development), and 8 (maturity). Monthly harvests captured capsules at consistent principal stage 8 across all sampling dates [3,10] .

Seasonal variations

The Malay Archipelago's equatorial climate produced two wet seasons (November-February and May-July) and two relatively drier periods (March-April and August-October). Monthly rainfall at the trial sites ranged from 87 mm (September) to 318 mm (December). Temperature was stable year-round at 23-28°C but relative humidity swung between 68% in dry months and 91% in wet months. These humidity cycles drove the moisture content of freshly harvested capsules, which in turn affected texture parameters. Capsules harvested during wet months had 2-3% higher moisture than those from dry months [4,11] .

Material and Methods Material

Cardamom capsules of four varieties Malabar, Mysore, Vazhukka, and ICRI-3 were collected monthly from January to December 2023 at three sites across the Malay Archipelago: West Java (Indonesia, 6.78°S, 107.61°E, 1,100 m), Cameron Highlands (Malaysia, 4.47°N, 101.38°E, 1,450 m), and Bukidnon (Philippines, 8.05°N, 125.09°E, 870 m).

At each site, 50 capsules per variety were hand-picked at green-mature stage on the 15th of each month. Capsules were air-dried to 10-12% moisture in mesh trays at 35°C for 48 hours, packed in foil pouches, and shipped to the Hanoi Institute of Agricultural Sciences for analysis within 7 days. Ethics approval was obtained (Protocol AS-2023-014, approved 5 January 2023).

Methods

Texture profile analysis was performed on a Stable Micro Systems TA.XT Plus fitted with a 5-mm cylindrical probe (P/5). Each capsule was compressed twice to 50% strain at 1 mm/s crosshead speed with a 5-second hold between compressions [6] . Five TPA parameters were extracted: hardness (peak force, N), cohesiveness (ratio of positive areas under second and first compression curves), springiness (ratio of second compression distance to first), chewiness (hardness × cohesiveness × springiness, N•mm), and resilience (ratio of upstroke to downstroke energy in first compression). Twenty capsules per variety per month per site were tested individually. Capsule wall thickness was measured with a digital micrometer at the equatorial plane. Moisture content was determined at 105°C for 4 hours. Data were analyzed by three-way ANOVA (variety × month × site) with Tukey's HSD at p<0.05 [7,8] . Malabar was the hardest variety (34.2 N) and ICRI-3 the softest (26.3 N), a difference of 23% (Table 1). ICRI-3 compensated with the highest cohesiveness (0.76) and springiness (0.89), meaning it deformed more elastically under compression. Chewiness followed hardness rankings closely. Variety effects were significant for all five parameters (p<0.01). Capsule wall thickness was the strongest physical predictor of both hardness (r = 0.81) and chewiness (r = 0.78), while moisture content showed a moderate negative effect on hardness (r = -0.73) (Table 2). Together, moisture and wall thickness explained 72% of variance in hardness in a multiple regression model (F = 34.7, p<0.001).

Table 2. Correlation matrix between texture parameters and physical properties of cardamom capsules
Parameter pairr valuep valueR²
Hardness vs. wall thickness0.81<0.010.66
Hardness vs. moisture-0.73<0.010.54
Chewiness vs. wall thickness0.78<0.010.61
Cohesiveness vs. moisture0.62<0.010.38
Resilience vs. seed: Capsule ratio0.57<0.010.32

Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.

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Correlation matrix between texture parameters and physical properties of cardamom capsules↗ Enlarge
Table 2
Correlation matrix between texture parameters and physical properties of cardamom capsules

Correlation matrix between texture parameters and physical properties of cardamom capsules

Open full-size image ↗
Original paper tableSource PDF · page 3 ↗
Table 1. Annual mean texture parameters of four cardamom varieties across three Malay Archipelago sites
VarietyHardness (N)CohesivenessSpringinessChewiness (N·mm)Resilience
Malabar34.2±4.70.68±0.040.82±0.0318.7±2.80.41±0.03
Mysore28.7±3.90.73±0.040.87±0.0315.3±2.40.48±0.04
Vazhukka31.4±4.20.71±0.030.84±0.0417.1±2.60.44±0.03
ICRI-326.3±3.40.76±0.050.89±0.0214.2±2.10.51±0.04

Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.

View original table image
Annual mean texture parameters of four cardamom varieties across three Malay Archipelago sites↗ Enlarge
Table 1
Annual mean texture parameters of four cardamom varieties across three Malay Archipelago sites

Annual mean texture parameters of four cardamom varieties across three Malay Archipelago sites

Open full-size image ↗
Original paper tableSource PDF · page 2 ↗

Results

Results

Discussion

The 39% seasonal swing in Malabar hardness (from 20.8 N in July to 34.2 N in January) shows that harvest month matters almost as much as variety selection for texture outcomes. Dry-season capsules, with lower moisture and thicker cell walls, produced firmer pods that crackers and premium whole-pod markets prefer [1,2] . Wet-season capsules, softer and more pliable, may suit grinding operations where pod integrity isn't needed. ICRI-3's combination of low hardness, high cohesiveness, and high springiness makes it the most "chewable" variety a trait that could appeal to markets where cardamom is consumed directly, such as Middle Eastern coffee culture and South Asian paan preparations [3,5] . Malabar's rigidity, by contrast, suits decorative whole-pod uses where a firm, glossy capsule signals quality to the buyer. The strong link between wall thickness and texture (r = 0.81) offers a non-destructive sorting opportunity. Graders could use caliper measurements or optical sensors to predict textural class without running destructive TPA tests on every lot [6,7] . This would speed up quality assessment at the farmgate level, where full laboratory analysis isn't practical. One limit was that drying was standardized to 10-12% moisture for all samples, which removed some of the variability that commercial lots would show. Real-world cardamom moisture varies from 8% to 14% depending on buyer specifications, and texture at the extremes of that range could deviate from the patterns reported here [8,9] .

Conclusion

Texture profile analysis revealed that Malabar was the firmest variety (34.2 N hardness) and ICRI-3 the softest (26.3 N) among four cardamom types grown in the Malay Archipelago. Seasonal moisture fluctuations explained over half the month-to-month variance in hardness, with dryseason harvests producing significantly firmer capsules. Wall thickness emerged as the best physical predictor of texture (r = 0.81 with hardness), suggesting a practical route for nondestructive quality sorting. ICRI-3's high cohesiveness and springiness position it for direct-consumption markets, while Malabar's rigidity suits whole-pod premium channels. These data provide the first systematic TPA reference for Archipelago-grown cardamom and can help growers and traders match harvest timing and variety choice to end-use requirements.

Figures and tables from the paper

Figure 1. Monthly variation in hardness and chewiness of Malabar cardamom over a 12-month harvest cycle
Monthly variation in hardness and chewiness of Malabar cardamom over a 12-month harvest cycle↗ Enlarge
Figure 1
Monthly variation in hardness and chewiness of Malabar cardamom over a 12-month harvest cycle

Monthly variation in hardness and chewiness of Malabar cardamom over a 12-month harvest cycle

Open full-size image ↗
Original paper figureSource PDF · page 2 ↗
Figure 2. Heatmap of normalized texture parameters across four cardamom varieties with absolute values shown in cells
Heatmap of normalized texture parameters across four cardamom varieties with absolute values shown in cells↗ Enlarge
Figure 2
Heatmap of normalized texture parameters across four cardamom varieties with absolute values shown in cells

Heatmap of normalized texture parameters across four cardamom varieties with absolute values shown in cells

Open full-size image ↗
Original paper figureSource PDF · page 3 ↗

References

14 in the original paper
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  5. Gopalakrishnan M, Narayanan CS, Mathew AG. Chemical composition of Indian cardamom oil. Journal of the Science of Food and Agriculture. 1991;55(2):261269.
  6. Szczesniak AS. Texture is a sensory property. Food Quality and Preference. 2002;13(4):215-225.
  7. Meullenet JF, Lyon BG, Carpenter JA, Lyon CE. Relationship between sensory and instrumental texture profile attributes. Journal of Sensory Studies. 1998;13(1):77-93.
  8. Nair KPP. The Agronomy and Economy of Cardamom (Elettaria cardamomum M.): The Queen of Spices. Elsevier. 2011;1-298.
  9. Chempakam B, Sinojiya V. Cardamom. Handbook of Herbs and Spices. Woodhead Publishing. 2012;2:131148.
  10. Korikanthimath VS, Rajeshwari KR, Hegde R. Evaluation of cardamom genotypes for quality. Journal of Plantation Crops. 2001;29(2):51-55.
  11. Zachariah TJ, Parthasarathy VA. Black pepper. Chemistry of Spices. CABI Publishing. 2008;21-40.
  12. Johny AK, Ravindran PN, Remashree AB. Effect of drying methods on quality of cardamom. Journal of Medicinal and Aromatic Plant Sciences. 2005;27(2):250-254.
  13. Rosenthal AJ. Food Texture: Measurement and Perception. Springer. 1999;1-311.
  14. Peleg M. The instrumental texture profile analysis revisited. Journal of Texture Studies. 2019;50(5):362368.