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Analysis of institutional authors

Collazos-Escobar, Gentil ACorresponding Author

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October 7, 2025
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Article

Method for computer-aided modeling of water adsorption isotherms in Achira biscuits (Canna edulis K.)

Publicated to: MethodsX. 15 103614- - 2025-12-25 15(), DOI: 10.1016/j.mex.2025.103614

Authors:

Collazos-Escobar, GA; Bahamón-Monje, AF; Gutierrez-Guzman, N
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Affiliations

Univ Politecn Valencia, Grp Anal & Simulac Proc Agroalimentarios ASPA, Inst Univ Ingn Alimentos FoodUPV, Cami Vera S-N,Edificio 3F, Valencia 46022, Spain - Author
Univ Surcolombiana, Ctr Surcolombiano Invest Cafe CESURCAFE, Dept Ingn Agr, Neiva Huila 410001, Colombia - Author
Univ Surcolombiana, Fac Ingn, Dept Ingn Agroind, Neiva, Huila, Colombia - Author
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Abstract

Mathematical modeling of water adsorption isotherms (WAI) plays a fundamental role in food engineering, enabling the quantitative description and prediction of moisture sorption behavior in food systems. Despite its relevance, there is a notable gap in the literature concerning computer-aided methods for fitting WAI data. This study aims to fill that gap by introducing an advanced computational approach for modeling WAI using three empirical equations: Peleg, Polynomial, and Double Log Polynomial (DLP). A comprehensive experimental dataset was used, consisting of WAI measurements from Achira biscuits over a wide range of water activities (aw: 0.1 to 0.9) and storage temperatures (25, 35, and 45 degrees degrees C). The predictive performance of each model was assessed using statisticalgoodness-of-fit metrics, including root mean square error (RMSE), coefficient of determination (R2), and adjusted R2, supported by graphical analysis. All models achieved excellent fitting results, with RMSE values below 5 % and R2 and R2 R2adj consistently above 99 %. These findings validate the effectiveness of the computer-aided modeling framework for accurately describing WAI behavior in low-moisture foods. Furthermore, the study demonstrates the potential of this approach as a practical and reliable tool for optimizing storage conditions, enhancing moisture control, and supporting decision-making in food quality and shelf-life management. This study: center dot Enables the statistical modeling of WAI. center dot Proposes an advanced framework for the computer-aided procedure of WAI.
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Keywords

Mathematical modelingModel-based investigationOptimizationSurface response

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal MethodsX due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2025, it was in position 62/136, thus managing to position itself as a Q2 (Segundo Cuartil), in the category Multidisciplinary Sciences. Notably, the journal is positioned en el Cuartil Q2 para la agencia Scopus (SJR) en la categoría Multidisciplinary.

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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-03:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 1 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

    It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

    • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
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    Leadership analysis of institutional authors

    This work has been carried out with international collaboration, specifically with researchers from: Colombia.

    There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (Collazos Escobar, Gentil Andres) .

    the author responsible for correspondence tasks has been Collazos Escobar, Gentil Andres.

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    Project objectives

    La aportación persigue los siguientes objetivos: analizar el comportamiento de la adsorción de agua en galletas de Achira mediante el modelado matemático de isotermas de adsorción; evaluar el desempeño predictivo de tres ecuaciones empíricas (Peleg, Polinómica y Doble Logarítmica Polinómica) utilizando un amplio conjunto de datos experimentales con actividades de agua entre 0.1 y 0.9 y temperaturas de almacenamiento de 25, 35 y 45 °C; desarrollar un método computacional avanzado para el ajuste de datos de isotermas de adsorción; validar la precisión del modelado mediante métricas estadísticas como RMSE inferior al 5 % y coeficientes de determinación R2 y R2 ajustado superiores al 99 %; y demostrar la aplicabilidad práctica del enfoque para optimizar condiciones de almacenamiento y mejorar el control de humedad en alimentos de baja humedad.
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    Most relevant results

    El estudio presenta un método computacional avanzado para modelar isotermas de adsorción de agua (WAI) en galletas de Achira (Canna edulis K.). Los resultados más relevantes incluyen: la aplicación de tres ecuaciones empíricas (Peleg, Polinómica y Doble Log Polinómica) para describir el comportamiento de la adsorción de humedad; la obtención de un conjunto experimental amplio con actividades de agua entre 0.1 y 0.9 y temperaturas de almacenamiento de 25, 35 y 45 °C; la evaluación del desempeño predictivo mediante RMSE inferior al 5 % y coeficientes de determinación (R2 y R2 ajustado) superiores al 99 %; y la validación del modelo como una herramienta precisa para optimizar condiciones de almacenamiento y control de humedad en alimentos de baja humedad.
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    Awards linked to the item

    This research was supported by the Centro Surcolombiano de Investigacio n en Cafe (CESURCAFE ) from Universidad Surco-lombiana, Neiva-Huila, Colombia, by the project funded by the General Royalties System of Minciencias, is titled "Generation of new knowledge in the process of post-harvest treatment and transformation of specialty coffees packaged in biodegradable materials contributing to the improvement of the quality of the coffee industry in the department of Huila" BPIN 2021000100380.
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