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Proceeding Paper

Water-Sorption Isotherms and Air-Drying-Kinetics Modelling of Andean Tubers and Tuberous Roots †

by
Liliana Acurio
1,2,*,
Ariel Baquerizo
1,
Alexandra Borja
1,
Marcelo Vayas
1,
Purificación García-Segovia
2,
Javier Martínez-Monzó
2 and
Marta Igual
2,*
1
Food and Biotechnology Science and Engineering Department, Technical University of Ambato, Av. Los Chasquis & Río Payamino, Ambato 180150, Ecuador
2
i-Food Group, Instituto Universitario de Ingeniería de Alimentos-FoodUPV, Universitat Politècnica de València, Camino de Vera s/n, 46021 Valencia, Spain
*
Authors to whom correspondence should be addressed.
Presented at the 4th International Electronic Conference on Foods, 15–30 October 2023; Available online: https://foods2023.sciforum.net/.
Biol. Life Sci. Forum 2023, 26(1), 71; https://doi.org/10.3390/Foods2023-15141
Published: 17 October 2023
(This article belongs to the Proceedings of The 4th International Electronic Conference on Foods)

Abstract

:
In recent years, scientific research has focused on studying Andean roots and tubers due to their attractive agricultural and nutritional qualities; however, as they contain a high level of moisture, it is imperative to dry them to extend their useful life. Likewise, analysing food-drying kinetics and food stability (regarding water activity) is essential to control moisture removal and the marketing progress. The drying process carried out in this study (65 °C for 8 h) showed three clear stages: adaptation, the drying period at a constant velocity, and a third stage with a gradual drop in the drying rate. The experimental data were satisfactorily adjusted to seven mathematical models, with the Page model highlighted since it presented higher coefficient-of-determination values. Likewise, this model estimated that the mean-error and percentage-of-relative-mean-deviation values were less than 1. The isotherms showed a type-II sigmoidal shape, showing that the samples were hygroscopic due to the structural changes undergone by the matrix during the process. Finally, the GAB model showed a higher coefficient of determination. All the Andean tubers and tuberous root flours must be dried until reaching a humidity below 10 gwater/gdry mass and stored in environments with a relative humidity lower than 60% to remain stable for longer.

1. Introduction

In recent years, scientific research has focused on studying underutilized autochthonous crops worldwide. Among these crops are the roots produced in the Andes mountain range. Numerous scientific articles report their peculiar cultivation properties, such as their high adaptability to temperature fluctuations and resistance to pests [1]. There is also scientific evidence of the excellent nutritional qualities of these roots. For example, sweet potato (Ipomoea batatas (L.) Lam.) shows high values of protein, fibers, vitamin B, iron, calcium, and bioactive compounds [2]. Mashua (Tropaeolum tuberosum Ruiz and Pavón) contains many glucosinolates, polyphenols, isothiocyanates, and anthocyanins that act against plagues and diseases. Also, this root is an excellent provider of vitamin C and provitamin A [3]. Zanahoria blanca (Arracacia xanthorrhiza Bancr.) has important values for thiamine, niacin, vitamin A, and ascorbic acid [4]. Finally, oca (Oxalis tuberosa Molina) presents a high starch quantity (60% of the dry weight) [5], and it is a useful provider of protein, fructooligosaccharides, iron, and riboflavin [6].
Convection hot air drying is used mainly in industries to produce dried fruits and vegetables, even though it is not energy efficient and requires more time to reach a low level of moisture. The drying kinetics are essential to controlling the moisture removal progress and drying variables (the drying rate, moisture diffusivity, and activation energy) [7]. An advantage is that this experiment can be conducted on a laboratory scale. Likewise, modelling the drying kinetics is necessary to optimize the process and propose improvements to the drier before it is built on a pilot scale. Food stability is essential in packaging, and aw is directly related to chemical and microbial changes. Some studies have demonstrated that an aw increase beyond 0.4 will induce a 50–100% increase in the degradation rate [8]. In this sense, the water-sorption isotherms can predict the product’s shelf life by modelling the possible moisture changes during storage.
The aims of the present work are (1) to determine the modelling of the corresponding drying kinetics and (2) to determine the water-sorption-isotherm modelling of sweet potato, mashua, zanahoria blanca, and three varieties of oca (white, yellow, and red).

2. Materials and Methods

2.1. Raw Materials and Sample Preparation

Sweet potato (I. batatas (L.) Lam.), mashua (T. tuberosum Ruiz & Pavón), zanahoria blanca (Arracacia xanthorrhiza Bancr.), and three varieties of Oca (O. tuberosa Molina) (white, yellow, and red) were purchased from a local market in Ambato, Ecuador. The roots were peeled and cut into slices (2 mm). Slices were pretreated in microwaves (750 W/20 s) and then submerged in water at 4 °C/20 s [9]. This pretreatment was considered necessary because preliminary tests showed that these roots tend to brown due to enzymes and generate undesirable colors. The microwave energy ranges between 1.24 × 10−6 and 1.24 × 10−3 eV, and some studies have demonstrated that it does not affect molecular structure since it is lower than the ionization energies of biological compounds (13.6 eV), bond energies (2–5 eV), and van der Waals interactions (<2 eV) [10,11]. Also, Shen et al. [12] demonstrated a decrease in the double-helix structure of potato starch after microwaving at 1000 W, and Lewandowicz et al. [13] showed crystallinity pattern changes after microwaving at 800 W. For this reason, pretreatment was carried out at a lower energy (750 W).

2.2. Determination of Drying Kinetics

Fresh-peeled slices (2 mm) were used to determine the initial water content (xw). This determination was carried out in a Vaciotem vacuum oven (J.P. Selecta, Barcelona, Spain) set to 103 °C for 48 h. The slices were dried via convection in an air drier (model CD 160, Gander Mountain, Saint Paul, MN, USA) at 65 °C for 8 h, with the air velocity (2 m s−1) kept constant [14]. The drying temperature was established based on preliminary tests and the results obtained in a study on similar roots grown in the same area (lower temperature for a long time/60 °C for 24 h) [15].
Samples were placed on a metallic mesh (450 × 450 mm), allowing a transversal airflow. Drying kinetics were determined via weighing in a precision analytical balance (Mettler Toledo, Greifensee, Switzerland). The weight was measured every 10 min during the first 2 h and, subsequently, every 30 min until the drying time was complete (8 h). These experiments were performed on 9 slices of each sample. The water content (xw) was obtained through vacuum drying the pieces in a vacuum oven (Vaciotem, J.P. Selecta, Barcelona, Spain) at 103 °C for 48 h.

Drying Kinetics: Mathematical Modelling

Experimental data of drying kinetics were fitted to the models shown in Table 1.

2.3. Determination of Water-Sorption Isotherms

The gravimetric method used saturated salt solutions to determine the equilibrium moisture content (Table 2) [23]. The saline solutions used were of reagent grade, and the preparation method was adopted from W Spiess and Wolf [24]. To inhibit microbial growth, thymol was added in aw ≥ 0.5. Water sorption experiments were carried out at 20 °C (±1 °C). The sorption isotherm is of particular importance in the determination of a drying endpoint, microbiological safety, and the prediction of shelf life; for this reason, the authors chose to experiment with the average annual temperature (20 ± 1 °C) [25] reported in the Andean area interested in the development of the technology, and where the flour obtained will be marketed (Ambato, Ecuador).
Samples were weighed in a precision analytical balance (Mettler Toledo, Greifensee, Switzerland) at regular intervals until reaching constant weight (±0.0005 g), the moment at which it is considered that the moisture content of samples achieved the equilibrium (12 weeks).

Water-Sorption Isotherms: Mathematical Modelling

Experimental data were fitted to the models shown in Table 3.

2.4. Statistical Analysis

The goodness of the fit was evaluated based on the coefficient of determination (r2), root-mean-square error (RMSE), and mean relative percentage deviation (MRPD). Statgraphics Centurion XVII Software, version 17.2.04 (Statgraphics Technologies, Inc., The Plains, VA, USA) was used in the analyses.

3. Results and Discussion

3.1. Drying Kinetics

Figure 1a shows the experimental drying kinetic curves. A sudden decrease in humidity is evident in the first 4 h of drying. A trend change is observed, since the food has transferred the most significant amount of free water. Figure 1b represents the drying-rate curve. An adaptation period is observed in all samples in the first 30 min, in which the interface temperature increased to reach the drying conditions. Subsequently, the constant velocity period was marked for 30 min. In this phase, the samples lose moisture at 1054 ± 249 gwater/h × m2 until reaching the critical humidity. This phase depends directly on the product, temperature, relative humidity of the air, flow direction, and food thickness [28]. The third stage showed a gradual drop in the drying rate, because the superficial layer of water in the food had evaporated entirely. In this period, the drying rate completely decays (18 ± 9 gwater/h × m2).

Drying Kinetics: Mathematical Modelling

The coefficient-of-determination values (r2) were higher in the Page model (Table 4). Likewise, the RMSE and MRPD were less than 1 in this model. The parameter k represents the movement of moisture inside the food and the transfer to the surface of the air; therefore, higher values represent a faster drying process [29]. The Fick model yielded effective diffusivity values from 2.22 to 2.92 × 10−7 m2/s; this value in food oscillates between 1 × 10−6 and 1 × 10- 11 m2/s [30]. The variation in the diffusivity depends on the drying conditions (the temperature, pressure, and velocity) and the matrix (its structure, size, and composition) [31].

3.2. Water-Sorption Isotherms

The samples showed type-II isotherms (Figure 2), also called sigmoidal, since they present an inflection point. Similar results have been reported in cassava flour [32]. The isotherm curve showed that the matrix is highly hygroscopic, since the higher the environment’s relative humidity, the greater the flour’s capacity for the water molecules’ adsorption. This shows that the drying and grinding process causes structural changes in the food matrix that influence an increase in the active points of water adsorption [33].

Water-Sorption Isotherms. Mathematical Modelling

The BET model was correctly adjusted up to an aw of 0.57, while the GAB model was adjusted in the entire evaluated range; likewise, the GAB model presented a higher r2. Similar results were observed in sweet potato flour (Ipomoea batata L.) [34]. The parameters are reported in Table 5.
The moisture of the monolayer (X0) determines the bound moisture of the food [35]. The constant C is known as the sorption heat and relates the active sites of the food matrix and the water molecules of the atmosphere. The shape curve is related to the C value; when its value is greater than 2, this means there is an inflection point in the curve. Therefore, the isotherm is type II, and the food shows an adsorption capacity of water in multilayers. The correction factor of the multilayer sorption constant (K) of the GAB model should be <1, and it represents the interaction of water molecules in the multilayer [36].

4. Conclusions

The drying process at 65 °C for 8 h showed three precise stages. The first stage of adaptation was where the humidity of the food was reduced minimally—subsequently, the drying period was at a constant velocity, presenting an approximately linear trend. The third stage showed a gradual drop in the drying rate. The experimental data were satisfactorily adjusted to seven mathematical models, highlighting the Page model (higher r2). The isotherms showed a type-II sigmoidal shape, showing that the samples are hygroscopic due to the structural changes undergone during the process. All the matrices must be dried until they reach a humidity below 10 gwater/gdry mass and stored in environments with an HR lower than 60% to remain stable. Finally, the GAB showed a higher r2.

Author Contributions

Conceptualization, L.A. and M.I.; data curation, L.A., A.B. (Ariel Baquerizo), A.B. (Alexandra Borja) and M.V.; writing—original draft preparation, L.A.; writing—review and editing, P.G.-S., J.M.-M. and M.I. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data are contained within the article.

Acknowledgments

The authors are grateful to the Centro de Cooperación al Desarrollo (CCD) of the Universitat Politècnica de València (project AD2111) and the Dirección de Investigación y Desarrollo (DIDE) of the Technical University of Ambato (Resolution UTA-CONIN-2022-0269-R), for financing the project “Valorización de tubérculos andinos para la obtención de ingredientes alimentarios y su viabilidad. Concienciación de su valor nutritivo y funcional”.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. (a) Experimental and estimated drying kinetic curves using the Page model, (b) drying rates versus free moisture content (gwater/gdry mass) (IbP: purple sweet potato, Tt: mashua, Ax: zanahoria blanca, OtW: oca white variety, OtY: oca yellow variety, OtR: oca red variety).
Figure 1. (a) Experimental and estimated drying kinetic curves using the Page model, (b) drying rates versus free moisture content (gwater/gdry mass) (IbP: purple sweet potato, Tt: mashua, Ax: zanahoria blanca, OtW: oca white variety, OtY: oca yellow variety, OtR: oca red variety).
Blsf 26 00071 g001
Figure 2. Experimental water-sorption isotherms at 20 °C and estimated curves using the GAB model (IbP: purple sweet potato, Tt: mashua, Ax: zanahoria blanca, OtW: oca white variety, OtY: oca yellow variety, OtR: oca red variety).
Figure 2. Experimental water-sorption isotherms at 20 °C and estimated curves using the GAB model (IbP: purple sweet potato, Tt: mashua, Ax: zanahoria blanca, OtW: oca white variety, OtY: oca yellow variety, OtR: oca red variety).
Blsf 26 00071 g002
Table 1. Equations used for modelling the drying kinetics.
Table 1. Equations used for modelling the drying kinetics.
ModelEquationEquation NumberReferences
Newton M R = E x p ( k t ) (1)[16]
Page M R = E x p ( k t n ) (2)[17]
Modified Page M R = E x p ( k t ) n (3)[18]
Henderson and Pabis M R = a × E x p ( k t ) (4)[19]
Logarithmic M R = a × E x p ( k t ) + c (5)[20]
Thomson M R = 1 + a t + b t 2 (6)[21]
Fick M R = X X e X o X e = 8 π 2 Σ n = 1 1 ( 2 n 1 ) 2 e x p ( ( 2 n 1 ) 2 π 2   D e f f 4 × L 2 × t ) (7)[22]
where MR represents the amount of moisture remaining in the samples reported to the initial moisture content; t is the time (h); n is the drying exponent; and a, b, c, and k are the drying constants.
Table 2. Saturated salt solutions are used in the determination of water-sorption isotherms.
Table 2. Saturated salt solutions are used in the determination of water-sorption isotherms.
NameNomenclatureaw *NameNomenclatureaw *
Lithium chlorideLiCl0.1178Sodium bromideNaBr0.5732
Potassium acetateCH3CO2K0.2982Ammonium sulphate(NH4)2SO40.8012
Magnesium chlorideMgCl20.3425
* Values were determined using the AquaLab 4TE water activity meter (Decagon Devices, Inc., Pullman, WA, USA).
Table 3. Equations used for modelling the sorption isotherms.
Table 3. Equations used for modelling the sorption isotherms.
ModelEquationEquation NumberReferences
Brunauer, Emmett, and Teller (BET) X e = X 0 × C × a w 1 a w × 1 + C 1 × a w (8)[26]
Guggenheim, Anderson, and de Boer (GAB) X e = X 0 × C × K × a w 1 K × a w × 1 + C 1 × K × a w (9)[27]
where Xe is the equilibrium moisture content (gwater/gdry mass); X0 is the monolayer moisture content (gwater/gdry mass); C is the empirical constant (dimensionless) for the BET and GAB equations; and K is the second empirical constant (dimensionless) for the GAB equation.
Table 4. Parameters obtained in the drying-kinetics mathematical modelling.
Table 4. Parameters obtained in the drying-kinetics mathematical modelling.
SampleModels
NewtonPageModified PageHenderson and PabisLogarithmicThomsonFick
IbP
(Sweet potato)
Model
constants
k: 0.691k: 0.4985
n: 1.173
k: 0.5524
n: 1.173
k: 0.704
a: 1.4597
k: 0.518a: 0.3497
b: 0.0298
Def:
2.619 × 10 7
a: 1.082
c: 0.0394
Adj. r20.9820.99230.99230.9880.95860.990.9611
RMSE0.1340.0274.0515.04320.92930.11692.232
MRPD0.5280.026511.937618.62754.23253.9410.877
Tt
(Mashua)
Model
constants
k: 0.66k: 0.308
n: 1.375
k: 0.4245
n: 1.375
k: 0.738
a: 2.059
k: 0.3136a: 0.2788
b: 0.0185
Def:
2.4953 × 10 7
a: 1.192
c: 0.1465
Adj. r20.89620.9890.9890.92440.93630.99770.8627
RMSE1.0140.1965.58223.85853.552323.85854.1564
MRPD1.0860.12340.118422.15834.048222.15835.574
Ax
(Zanahoria blanca)
Model
constants
k: 0.7684k: 0.5399
n: 1.2194
k: 0.6164
n: 1.2194
k: 0.75
a: 1.3872
k: 0.6151a: 0.3746
b: 0.0337
Def:
2.9196 × 10 7
a: 1.08
c: 0.0262
Adj. r20.9950.99770.9990.98640.96360.96360.996
RMSE0.1710.0394.44746.46941.18641.18642.632
MRPD0.5210.1219.894418.8414.15824.158210.49
OtW
(Oca white variety)
Model
constants
k: 0.7261k: 0.3893
n: 1.3656
k: 0.2037
n: 1.3656
k: 0.745
a: 1.6428
k: 0.4682a: 0.3569
b: 0.0296
Def:
2.762 × 10 7
a: 1.14
c: 0.0645
Adj. r20.98450.99860.9990.94970.9520.99550.9887
RMSE1.24570.0234.7558.1221.39430.162.6244
MRPD0.93420.0137.558219.324.113.958.8533
OtY
(Oca yellow variety)
Model
constants
k: 0.8689k: 0.3816
n: 1.46
k: 1.5997
n: 1.291
k: 0.922
a: 2.139
k: 0.444a: 0.3523
b: 0.0285
Def:
2.7851 × 10 7
a: 1.158
c: 0.082
Adj. r20.97270.99210.9760.8880.94640.99530.9727
RMSE3.12920.3765.21623.15191.28611.66964.0237
MRPD1.218.9012.68430.150.42216.4515.7033
OtR
(Oca red variety)
Model
constants
k: 0.7743k: 0.4692
n: 1.243
k: 1.838
n: 1.243
k: 0.7
a: 1.4396
k: 0.527a: 0.3525
b: 0.03
Def:
2.2283 × 10 7
a: 1.089
c: 0.038
Adj. r20.9910.9980.99970.98220.96850.98930.9905
RMSE0.1277.44864.7653.780.55533.1511.9936
MRPD0.22617.25211.92712.3760.432710.9736.5661
Table 5. Parameters obtained in the water-sorption isotherm mathematical modelling.
Table 5. Parameters obtained in the water-sorption isotherm mathematical modelling.
Samples ModelsSamples ModelsSamples Models
BETGABBETGABBETGAB
Sweet potatoModel
constants
X0: 0.04
C: 17.875
X0: 0.05
C: 17.79
K: 0.9
Oca white varietyModel
constants
X0: 0.05
C: 12.5
X0: 0.059
C: 13.82
K: 0.9
Oca yellow varietyModel
constants
X0: 0.051
C: 4.443
X0: 0.053
C: 4.795
K: 0.97
Adj. r20.980.999Adj. r20.980.98Adj. r20.980.97
RMSE0.0160.022RMSE0.00320.0037RMSE0.020.023
MRPD19.9819.99MRPD7.0527.154MRPD12.7213.74
MashuaModel
constants
X0: 0.065
C: 16.4
X0: 0.07
C: 11.47
K: 0.96
Zanahoria blancaModel
constants
X0: 0.051
C: 15.24
X0: 0.055
C: 12.13
K: 0.91
Oca red varietyModel
constants
X0: 0.055
C: 21.89
X0: 0.057
C: 20.26
K: 0.98
Adj. r20.9890.999Adj. r20.9720.988Adj. r20.9890.998
RMSE0.0040.005RMSE0.010.013RMSE0.010.011
MRPD19.99919.999MRPD19.0719.87MRPD12.5613.74
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Acurio, L.; Baquerizo, A.; Borja, A.; Vayas, M.; García-Segovia, P.; Martínez-Monzó, J.; Igual, M. Water-Sorption Isotherms and Air-Drying-Kinetics Modelling of Andean Tubers and Tuberous Roots. Biol. Life Sci. Forum 2023, 26, 71. https://doi.org/10.3390/Foods2023-15141

AMA Style

Acurio L, Baquerizo A, Borja A, Vayas M, García-Segovia P, Martínez-Monzó J, Igual M. Water-Sorption Isotherms and Air-Drying-Kinetics Modelling of Andean Tubers and Tuberous Roots. Biology and Life Sciences Forum. 2023; 26(1):71. https://doi.org/10.3390/Foods2023-15141

Chicago/Turabian Style

Acurio, Liliana, Ariel Baquerizo, Alexandra Borja, Marcelo Vayas, Purificación García-Segovia, Javier Martínez-Monzó, and Marta Igual. 2023. "Water-Sorption Isotherms and Air-Drying-Kinetics Modelling of Andean Tubers and Tuberous Roots" Biology and Life Sciences Forum 26, no. 1: 71. https://doi.org/10.3390/Foods2023-15141

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