Mass Modeling of Indian Coffee Plum (<i>Flacourtia Jangomas</i>) Fruit with Its Physicochemical Properties

Barbhuiya, Rahul Islam; Nath, Debarshi; Singh, Sushil K.; Dwivedi, Madhuresh

doi:10.1080/15538362.2020.1775161

Cited by 13 publications

(9 citation statements)

References 25 publications

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“…Several studies reported the prediction of mass using the physical attributes of different fruits, including apples (Tabatabaeefar & Rajabipour, 2005), onions (Ghabel, Rajabipour, Ghasemi‐Varnamkhasti, & Oveisi, 2010), oranges (Tabatabaeefar, Vefagh‐Nematolahee, & Rajabipour, 2000), pomegranates (Khoshnam, Tabatabaeefar, Varnamkhasti, & Borghei, 2007), kinnow mandarin (Mahawar, Bibwe, Jalgaonkar, & Ghodki, 2019), banana (A'Bidin, Shamsudin, Basri, & Dom, 2020), pepper berries (Megat Ahmad Azman, Shamsudin, Che Man, & Ya'acob, 2020), belleric myrobalan (Pathak, Pradhan, & Mishra, 2020), kendu (Panda, Vivek, & Mishra, 2020), Indian coffee plum (Barbhuiya, Nath, Singh, & Dwivedi, 2020) and dates (Khodabakhshian & Emadi, 2016). There is no detailed study regarding the mass modeling of strawberries that has not been carried out in detail in the literature.…”

Section: Introductionmentioning

confidence: 99%

Mass modeling of strawberry (Fragaria × Ananasa) based on selected physical attributes

Birania

Attkan

Kumar

et al. 2022

J Food Process Engineering

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Strawberry (Fragaria Â ananasa) is one of the most popular soft and delicious fruits used as such or for flavor production. In this study, different physical characteristics such as dimensions, weight, volume, geometric mean diameter, sphericity, and projected areas were determined and the prediction of mass based on these physical characteristics was done, using five models: linear, quadratic, power, S-curve, and logarithmic of different size grades (large, medium, and small) and ungraded fruits. The results showed that the mass modeling of ungraded fruits resulted in the best model fitting as compared to the graded fruits. The linear model (M = À2.874 + 0.001 V) based on the actual volume of ungraded fruits was the best-fitted model, having the highest R 2 value of 0.996 for the prediction of mass of strawberry. Among all the graded fruits, the most appropriate model was linearly based (M = À2.45 + 0.001 V) on the actual volume of the large size strawberry with an R 2 value of 0.984. The results showed that the models based on the actual volume were the most appropriate models in both graded and ungraded fruits. Practical ApplicationsFruit grading based on mass is an important feature of packaging since it reduces the handling wastage and transport resources by improving packaging formations and also optimizes the marketability of products. Fruits of uniform size, shape, and weight are generally preferred by consumers. Horticultural crops are usually graded based on size, appearance, and weight. Fruit mass is generally used as a grading parameter in automatic graders because of its accuracy and effectiveness of the operation.

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Section: Introductionmentioning

confidence: 99%

Mass modeling of strawberry (Fragaria × Ananasa) based on selected physical attributes

Birania

Attkan

Kumar

et al. 2022

J Food Process Engineering

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“…Raeush. more familiar as Indian coffee plum is an tropical, semi-wild, and indigenous medicinal fruit grown widely in the South-eastern and Eastern part of Asia (Barbhuiya et al, 2020;Dutta and Borah, 2017). It belongs to the Salicaceae family having sour to astringent taste and is 100% edible.…”

Section: Introductionmentioning

confidence: 99%

Rheological properties of Indian coffee plum (Flacourtia jangomas) pulp in steady and dynamic shear at different temperatures

Nath

Barbhuiya

Singh

et al. 2020

International Journal of Fruit Science

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Indian coffee plum (Flacourtia jangomas) is an underutilized fruit with many great nutritional and medicinal value generally available in the northeastern part of India. Although rheological study of different fruit pulps have been studied till now, however no such study has been undertaken on Indian coffee plum. The present study was aimed to evaluate the steady-state shear and viscoelastic rheological properties of Flacourtia jangomas (F. jangomas) pulp as function of temperature in the range 20 to 80°C using dynamic oscillatory viscometry, as well as applicability of Cox-Merz rule. Under steadystate shear tests, the shear stress versus shear rate data were adequately fitted to the Bingham model (R 2 = 1) for too low shear rate (0.1to 1.0 s −1 ) and Power law model (R 2 > 0.83) for moderate shear rate (1.0 to 100 s −1 ). Oscillatory shear data of the fruit pulp showed weak gel behavior where loss modulus exceeded the value of storage modulus. The power modified Cox-Merz rule was tested for all temperature and found applicable for lower temperatures. These results could be beneficial for future studies on food properties and industries.

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“…Springiness was found to be 3.12 mm. Chewiness instrumentally quantified as the product of hardness, cohesiveness and springiness, is the extent of energy necessary to chew a food product until it's ready for swallowing, was found to be 67.44 mJ, displayed higher chewing behavior than those reported for Indian coffee plum (Barbhuiya et al, 2020).…”

Section: Resultsmentioning

confidence: 99%

“…The validated regression models like linear (Equation (28)), quadratic (Equation (29)), s‐curve (Equation (30)), and power (Equation (31)) were assessed to predict the mass of ungraded PM (Barbhuiya, Nath, Singh, & Dwivedi, 2020; Pathak et al, 2019; Vivek et al, 2018). The physical properties of PM were determined and data was fitted in selected four models, and the most validated model was considered for mass prediction (Mahawar, Bibwe, Jalgaonkar, & Ghodki, 2019; Panda et al, 2020).…”

Section: Methodsmentioning

confidence: 99%

“…All experiments were performed in triplicate, unless stated otherwise, and the mean, minimum, maximum, and standard deviation values were reported based on SPSS software package (Version 16.0). Based on coefficient of regression ( R 2 ) with highest value, that is, R 2 nearer to 1, and lowest regression standard error (RSE) obtained for the corresponding best physical properties in the group represents better model fit (Barbhuiya et al, 2020; Vivek et al, 2018).…”

Section: Methodsmentioning

confidence: 99%

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Physical characterization and mass modeling of traditionally Popped Makhana (Euryale ferox Salisbury) variety: Sabour‐1 Makhana

Gaurav

Nath

Barbhuiya

et al. 2021

J Food Process Engineering

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Correlation between physical properties of Popped Makhana (variety: Sabour-1 Makhana) such as tri-axial dimensions, spatial diameters, projected areas, volumes and mass may aid in predicting pops quality besides fabrication of post-harvest machinery. Hence, the present work aims to predict the mass of Makhana pops as a function of its physical attributes using nonlinear mathematical models. Depending upon high variation in mass data (0.19-0.46 g), pops were categorized into small,

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Mass Modeling of Indian Coffee Plum (Flacourtia Jangomas) Fruit with Its Physicochemical Properties

Cited by 13 publications

References 25 publications

Mass modeling of strawberry (Fragaria × Ananasa) based on selected physical attributes

Mass modeling of strawberry (Fragaria × Ananasa) based on selected physical attributes

Rheological properties of Indian coffee plum (Flacourtia jangomas) pulp in steady and dynamic shear at different temperatures

Physical characterization and mass modeling of traditionally Popped Makhana (Euryale ferox Salisbury) variety: Sabour‐1 Makhana

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