A comparative FTIR study for supplemented agavin as functional food

A comparative FTIR study for supplemented agavin as functional food

Journal Pre-proof A comparative FTIR study for supplemented agavin as functional food Oscar F. Vázquez-Vuelvas, Félix A. Chávez-Camacho, Jorge A. Meza...

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Journal Pre-proof A comparative FTIR study for supplemented agavin as functional food Oscar F. Vázquez-Vuelvas, Félix A. Chávez-Camacho, Jorge A. Meza-Velázquez, Emilio Mendez-Merino, Merab M. Ríos-Licea, Juan Carlos Contreras-Esquivel PII:

S0268-005X(18)31730-2

DOI:

https://doi.org/10.1016/j.foodhyd.2020.105642

Reference:

FOOHYD 105642

To appear in:

Food Hydrocolloids

Received Date: 3 September 2018 Revised Date:

3 January 2020

Accepted Date: 3 January 2020

Please cite this article as: Vázquez-Vuelvas, O.F., Chávez-Camacho, Fé.A., Meza-Velázquez, J.A., Mendez-Merino, E., Ríos-Licea, M.M., Contreras-Esquivel, J.C., A comparative FTIR study for supplemented agavin as functional food, Food Hydrocolloids (2020), doi: https://doi.org/10.1016/ j.foodhyd.2020.105642. This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. © 2020 Published by Elsevier Ltd.

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A comparative FTIR study for supplemented agavin as functional food

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Oscar F. Vázquez-Vuelvas,a,* Félix A. Chávez-Camacho,b Jorge A. Meza-Velázquez,c Emilio Mendez-

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Merino,d Merab M. Ríos-Licea,d Juan Carlos Contreras-Esquivel.b, e, *

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a

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de Colima, Km 9 Carr. Colima-Coquimatlan s/n. Coquimatlan, Colima. C. P. 28400, Mexico.

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b

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Universidad Autónoma de Coahuila. Saltillo, Coahuila. 25280. México.

Laboratory of Biochemical Engineering and Bioprocesses, Faculty of Chemical Sciencies, Universidad

Laboratory of Applied Glycobiotechnology, Food Research Department, School of Chemistry,

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c

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Palacio, Durango. C. P. 35010, Mexico.

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d

Sigma Alimentos Co., Torre Sigma, San Pedro Garza Garcia, Nuevo Leon. C. P. 66260, Mexico.

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e

Research and Development Center, Coyotefoods Biopolymer and Biotechnology Co., Simon Bolivar

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851-A, Saltillo, Coahuila. C. P. 25000. Mexico.

Food Science Laboratory, School of Chemistry, Universidad Juarez del Estado de Durango, Gomez

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Corresponding authors:

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[email protected]

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[email protected]

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* These authors contributed equally to this work.

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Abstract

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Functional foods are products focused to human consumption with benefits to different physiologic

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aspects in order to prevent diverse metabolic problems in the body. Prebiotics recently have been started

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to be employed as functional foods, and fructans as inulin or agave inulin, known as agavin, represent a

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valuable source of them. Standard polysaccharides as starch, inulin, cellulose and agavin were

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vibrationally analyzed by FTIR spectroscopy, as well as solid mixtures with different agavin-cellulose

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and agavin-cocoa ratios, to identify important absorption peaks to detect evolutive changes of bands in

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absorbance intensities and wavenumbers displacements, in order to employ this information for possible

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adulteration in this prebiotic functional foods. Three commercial products identified as supplemented

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agavins with Aloe vera, antioxidants and cocoa were vibrationally analyzed and described by

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comparative visualization with standard solid mixtures for detecting discrepancies with ingredient

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compositions. The vibrational patterns displayed by standard polysaccharides allowed to identify

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frequency zones for making an approach to elucidate standards; furthermore, solid mixtures of standards

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described the evolution of absorption peaks proportionally to the ratio of the samples. Spectra of agavin-

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cellulose and agavin-cocoa solid mixtures exhibited an increment in bands associated with C-O and C-

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O-C between 1176 cm-1 and 1074 cm-1 when the agavin content diminished in the mixture; an opposite

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behavior was depicted at 926 cm-1 absorption band, intensity

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decreased. The spectra of commercial agavins provided the information to identify structural similarities

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with the absorption bands shown by polysaccharide standards, which made it possible to identify the

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presence of the components of interest.

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Keywords: FTIR, fructan, agavin, polysaccharide, functional food

decreased when the agavin ratio

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1. Introduction

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Functional foods represent a series of food products with benefits to diverse physiological aspects for

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humans (Konar et al., 2018). Functional foods may be described as nutriments that affect positively to

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different targets in the body to promote health (Donato-Capel et al., 2014), by cure and/or prevention of

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diverse

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functional food characteristics associate with a recent definition of prebiotic concept, since they are

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substrates that are selectively utilized by gastrointestinal microorganisms to confer health benefit to the

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host (Konar et al., 2018).

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The elaboration of functional foods requires supplements with a high nutritional value, since they have

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been gaining interest, an increment in their value has occurred; as a consequence, functional foods have

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become economically valuable (Oreopoulou & Tzia, 2007). In this sense, hydrocolloids are widely used

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to produce functional foods and are catalogued as fibre-rich foods or dietary fiber; they are defined as

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any carbohydrate that does not hydrolyze in the gastrointestinal tract. Nevertheless, a more complete

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definition is about those carbohydrate polymers with ten or more monomeric units, which are not

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hydrolyzed by endogenous enzymes in the small intestine of humans (Perry & Ying, 2016).

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Fructans are a group of soluble polymeric carbohydrates considered as dietary fiber according to

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structural, analytical and physiological concepts (Handa, Goomer, & Siddhu, 2012). They are

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constituted basically by fructose units; and after starch, fructans are the most abundant non-structural

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polysaccharides (Mancilla-Margalli, López, & López, 2006; Muñoz-Gutiérrez, Rodríguez-Alegría, &

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López Munguía, 2009; Velázquez-Martínez et al., 2014). From the structural point of view, fructans are

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macromolecules naturally synthetized from sucrose and named considering the linkage type present in

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the carbohydrate chain. Inulins are fructans with the predominant β(2-1) fructosydic bond, and levans

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when the main fructosydic linkage is β(2-6), both linked to the fructosyl unit of saccharose (Muñoz-

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Gutiérrez et al., 2009). In addition, fructans obtained from Agave tequilana plants are known as agavins

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and are considered a series with a highly branched chains defined by linked fructosyl units with a

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combination of β(2-1) and β(2-6) fructosydic bonds (Mancilla-Margalli et al., 2006; Muñoz-Gutiérrez et

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al., 2009; Waleckx, Gschaedler, Colonna-Ceccaldi, & Monsan, 2008). The fructan biopolymer presents

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different degree of polymerization; the number of linked fructosyl residues may vary from 2 to 60

metabolic disorders or illnesses (Dubey, Toh, & Yeh, 2018; Konar et al., 2018). These

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residual units, and comparatively to sucrose, they are 10% as sweet as sucrose, an attractive organoleptic

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property that enhances palatability of fructans as a functional food ingredient. Oligomer molecules are

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constituted by no more than ten fructofuranosyl units, and are better known as fructooligosaccharides

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(FOS) or oligofructose (Apolinário et al., 2014; Brownlee, 2011; Franck, 2006; Mensink, Frijlink, Van

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Der Voort Maarschalk, & Hinrichs, 2015).

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In Mexico, the agave species represent an appreciated bioresource due to several of them are

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economically important for producing a wide variety of distilled and fermented beverages (Ávila-

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Fernández, Galicia-Lagunas, Rodríguez-Alegría, Olvera, & López-Munguía, 2011). Agave tequilana,

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raw material to produce Tequila, is mainly harvested to this purpose (Montañez-Soto, Venegas-

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gonzález, Vivar-Vera, & Ramos-Ramirez, 2011); however, agave fructans have recently become

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attractive ingredients because of its characteristic as dietary fiber and prebiotic activity. Numerous

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reports indicate that consumption of specific hydrocolloids as fructans may regulate the composition of

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the intestinal flora, to promote the production of biologically short chain fatty acids in the human large

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bowel, especially the butyric acid, which has important anticarcinogenic effects (Li & Nie, 2016).

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The agave inulin (agavin) recently started to be commercially available in Mexico as a supplement; this

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makes agavin powder become valuable as a food supplement from the economical point of view, due to

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the value as a dietary fiber source and sweetener. Consequently, agavin powder may be a target of

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adulteration with low-cost glucans like sweeteners or carbohydrates that simulate their natural

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carbohydrate profile, in order to increase economical profits (Wang et al., 2010).

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At industry level, the analyses of polysaccharides for quality control are numerous, then FTIR

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vibrational spectroscopy becomes an important analytical tool. The FTIR (Fourier Transform Infrared)

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Spectroscopy equipment, coupled to an ATR (Attenuated Total Reflectance) device, improves the time-

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consuming procedure for preparing samples, employing small quantity of solid, liquid or concentrated

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analyte solutions without the necessity of additional reagents or preparative processes. This technique is

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rapid, non-destructive and suitable to estimate the constituents, composition or pureness of samples. The

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region located from 4000 cm-1 to 700 cm-1 shows vibrations of molecular structure through the band

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displacement corresponding to different types of functional groups, and helps to identify quality

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attributions of food samples with different compositions (Anjos, Campos, Ruiz, & Antunes, 2015;

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Espinosa-Velázquez, Ramos-de-la-peña, Montanez, & Contreras-Esquivel, 2018). As a result, FTIR-

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ATR is an important tool to analyze potential adulterated samples of food products and it may contribute

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to detect fraudulent acts (Bureau et al., 2009; Miaw et al., 2018).

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The aim of this paper is to employ FTIR-ATR spectroscopy to examine in depth vibrational patterns of

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several carbohydrates frequently used as ingredients in the food industry. This report makes an approach

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to describe the absorption bands that define the agavin polymeric structure, in order to identify changes

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of vibrational patterns when different ingredients are added. For this purpose, artificial solid dilutions of

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agavins with cellulose and cocoa powder, as well as three commercial samples of agavins, were

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analyzed to determine components based on vibrational spectra of characterized standards, as a food

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industry application case of adulterant component analysis.

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2. Material and Methods

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The inulin and cellulose standards were procured by MP Biomedicals (Santa Ana, California, USA), and

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starch by Realbiotech Co. (Yeongi-Gun, Chungnam, South Korea). Roasted and powdered cocoa

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(Theobroma cacao) was acquired from Organicos Monterrey (Monterrey, Nuevo Leon, Mexico). Agave

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fructan (agavin) sources were acquired according to the supplier listed in the Table 1.

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Table 1. Types of agavin and supplemented commercial agavin suppliers.

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An FTIR experimental model to develop a method to identify the presence and intensity of specific

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bands associated with population of certain functional groups, has been reported previously (Clarck,

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2016). The augmentation and diminution of vibrational bands may be detected through the formulation

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of known composition powder mixtures (Lira-Ortiz et al., 2014). This methodology has been adopted in

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the report herein, to determine polysaccharide components of solid mixtures. The visualization of

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spectra that shows an evolutive change of specific-band absorption intensities is a useful manner to

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analyze and identify differences in the composition of a sample (Bureau, Cozzolino, & Clark, 2019;

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Espinosa-Velázquez et al., 2018; Lira-Ortiz et al., 2014). Considering that agavins may be altered

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through its carbohydrate profile for adulteration purposes, two series of solid mixtures, agavin-cellulose

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and agavin-cocoa powder with different composition were vibrationally analyzed. The Table 2 lists the

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codes for the solid mixtures and their composition.

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Table 2. Polysaccharide composition of powder mixtures

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Standards and mixtures were analyzed by Fourier transform infrared attenuated total reflectance (FTIR-

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ATR) spectroscopy by Perkin Elmer Spectrum GX FTIR spectrometer equipment (Waltham, MA, USA)

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operating at 4 cm-1 resolution with 16 scans per test. The mirror velocity was 0.08 cm-1 and 35

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interferograms were co-added before Fourier transformation. Spectra were collected from 4000 to 700

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cm-1 in the absorbance mode, the baseline was corrected and normalized that the stronger absorption

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band at ca. 1015 cm-1 was equaled to 1. Normalization did not alter the proportion of signals of the

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origin spectra.

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3. Results and Discussion

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3.1 FTIR Polysaccharide analysis

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The standard carbohydrates analyzed by FTIR spectroscopy are described through their basic structure

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in solid state, to identify band patterns to discern between samples. Despite the products are defined as

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polymers and their saccharide units are structurally similar (isomers constituted basically by pyranosides

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and furanosides), the pattern of spectral vibrations is particular for every polysaccharide due to the

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macromolecular arrangement (Bureau et al., 2019, 2009; Espinosa-Velázquez et al., 2018). Literature is

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frequently ambiguous about band assignments in carbohydrates, nonetheless, correct assignments of

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bands may be done more certainly when precise wavenumbers are well localized, specifically when the

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sample set presents a known composition about a particular functional-group characteristic band

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(Bureau et al., 2019).

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Figure 1. Infrared spectra of inulin, agavin, starch and cellulose. Functional group frequency region

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(1800 – 1500 cm-1) and fingerprint region (1200 – 900 cm-1) appear squared with dotted lines. Agavin is

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listed in Table 3 as Agavin B.

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The spectral region to analyze standard carbohydrates, in this report, was from 1800 to 700 cm-1, due to

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functional groups that mainly describe the molecular nature of biopolymers are present at this zone.

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Absorption bands in the 1800 to 1500 cm-1 region are usually assigned to stretching vibrations of double

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bonding atoms, commonly called functional group frequency region (Dufour, 2009). Neutral

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polysaccharides, as standards reported herein, do not present any absorption band at these frequencies,

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except for cases when products are not in a purified form due to heterogeneity of components or

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humidity content. The region from 1500 to 1200 cm-1 displays absorption bands belonging to single

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bond atoms, the biopolymeric structure is displayed with medium to low intensity vibrational peaks

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(Bureau et al., 2019). The spectral area from 1200 to 900 cm-1 is the most informative and frequently

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used in FTIR analysis of carbohydrates. It is characterized by strong overlapping bands and is generally

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recognized as the fingerprint region (Bureau et al., 2019; Cerna et al., 2003; Pretsch, Buhlmann, &

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Badertscher, 2009; Tipson, 1968), and depicts an important difference in the structural framework for

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products whose macroscopic characteristics are similar (Bureau et al., 2019; Cui, 2005; Stephen,

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Phillips, & Williams, 2006). Figure 1 shows a comparative view (an overlapped fashion) of the spectra

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of the polysaccharide inulin, starch, cellulose and agavin, and a pair of squared groups of two different

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spectral signals, group frequency and fingerprint regions. Since the scheme of spectra presents high

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overlapping, the assignment of the vibrational peaks corresponding to the FTIR analyzed

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polysaccharides are listed in Table 3. Band were identified by comparative revision with literature

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(Dufour, 2009; Larkin, 2011; Pretsch et al., 2009). This scheme represents an easy method to detect, not

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only the structural and qualitative difference of pure and adulterated samples, but also the composition

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of a characteristic functional group, since wavenumbers are associated with functional group and band

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intensities with proportion in the sample (Bureau et al., 2019).

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Table 3. Assignment of vibrational bands corresponding to the FTIR analyzed carbohydrate samples

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depicted in Figures 1, 2 and 3.

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3.2 Spectral comparison of agavins

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For comparative analysis purposes, the spectra of different agavin samples are depicted in Figure 2. The

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overlapped mode of displayed spectra shows the resemblance of agavin samples (Agavin A, B and C).

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As shown, the vibrational patterns exhibited analogous wavenumbers for the three samples; main

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differences can be seen in the intensity bands belonging to Agavin A spectrum; however, taking into

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account higher resemblance between agavins B and C, for further comparative goals of this report, the

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agavin B will be considered as agavin standard. Assignment of their vibrational bands are listed in Table

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3.

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Figure 2. Infrared spectra of commercial agavin products.

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3.3 Solid mixtures of agavins

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3.3.1 Agavin – cellulose comparative analysis

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The spectra of agavin-cellulose mixtures with different % compositions are shown in Figure 3. Cellulose

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standard was utilized to formulate mixture samples, taking into account its low cost as dietary fiber

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source for human nutrition with bulky properties as ingredient (Robin, Schuchmann, & Palzer, 2012).

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The functional group frequency region does not present differences in band wavenumbers, matching

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bands at around 1640 cm -1. The vibrational bands in the fingerprint region present a change of peak

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intensity with respect to the composition of ingredients, which may be associated with a band group

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“chemically sensible” to model an approach to detect ingredient composition (Bureau et al., 2019). The

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band group 1 (BG 1) at 1160 cm-1 shows that band intensity of AgvCls 100 increases when the % of

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agavin decreases to AgvCls 0. The same behavior is observed at BG 2 around 1105 cm-1, where the

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band for AgvCls 100 got decreased to medium intensity and displaced to lower wavenumber (1103 cm-

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1

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for AgvCls 100 when % agavin decreases to the level of AgvCls 0, as well as the stronger band in 1015

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cm-1 for AgvCls 100 resulted displaced to higher wavenumber (1028 cm-1) for AgvCls 0. The bands

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displayed at around 993 cm-1 does not present either increasing or decreasing tendency of band

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intensities when the agavin composition diminished. This behavior may be possibly associated with an

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spectral composite, where different absorbances overlap, enhance or subsume one another, making

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difficult to assign peaks to specific vibration and then, identifying a tendency (Bureau et al., 2019). In

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addition, an important change is detected in the BG 4; the band at 926 cm-1 displayed by AgvCls 100

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decreased to disappearance with the reduction of % agavin in the solid mixture, which results in the

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appearance of bands at 897 cm-1 by both AgvCls 10 and AgvCls 0, the corresponding-to-cellulose band

) as shown by AgvCls 0 (see Table 3). The BG 3 illustrates also the increasing of the band at 1053 cm-1

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spectrum. The displacements of wavenumber showed by BG2 and BG4 possibly describes the change

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from pentoses to hexoses in the composition of the polymeric framework of the mixture components.

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The displayed spectra (Figure 3) illustrate, not only a comparative overlapped view of the spectra, which

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allows to identify increasing, decreasing and displacements of absorption bands, but also the main

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absorption peaks of agavins, which are squared and selected as functional group signals for further

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analysis of commercial agavin samples.

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Figure 3. Comparative visualization of spectra for agavin mixed with cellulose with different

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composition. Band Group (BG) indicates evolution in specific wavenumbers and absorption intensity of

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specific vibration bands.

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3.3.2 Agavin – cocoa comparative analysis

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A series of agavin-cocoa solid mixtures were analyzed to detect the change of band intensities and

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displacements when composition of agavin decreases; the spectra are displayed in the Figure 4. The

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assignment of the vibrational peaks corresponding to the FTIR analyzed samples are listed in Table A.1

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(Supplementary information). The composition of cocoa in the agavin mixtures changes from 0% to

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10% (agavin from 100% to 90%), as it can be observed by the colored lines corresponding to the

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indicated mixture in the figure. The bands localized at the functional group frequency zone for AgvCca

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90 shows a noticeable peak that merges at 1735 cm-1, as well as a band at around 1656 cm-1 got more

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intense when the cellulose content in the mixture got increased. These bands are associated with

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esterified carbonyls from pectic material (Redgwell, Trovato, & Curti, 2003), and with humidity in both

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cocoa powder (Chung, Iiyama, & Han, 2003; Redgwell et al., 2003; Sotelo & Alvarez, 1991; Velázquez

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de la cruz & Martín-Polo, 2000) and agavins (Kačuráková & Wilson, 2001). The vibration band at 1267

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cm-1, displayed by AgvCca 90 corresponds to vibrations of C-H and C-O bonds (Bureau et al., 2019;

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Lecumberri et al., 2007; Liendo, Padilla, & Quintana, 1997; Redgwell et al., 2003; Sotelo & Alvarez,

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1991), and the band at 1253 cm-1 to N-H of proteinic material present in cocoa powder (Larkin, 2011).

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With respect to the vibrational pattern at fingerprint region, the evolution of the band intensities

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resemblances to the described in Figure 3. At 1158 cm-1 and around 1120 cm-1 wavenumbers, there are

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increments in peak intensities showed by AgvCca 90, which also showed a displacement to a lower

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wavenumber, from 1124 cm-1 to 1115 cm-1, with respect to the rest of AgvCca composites. Finally, the

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band at 926 cm-1 for AgvCca 90 appears with a slight decrease in the absorbance intensity compared

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with the rest of peaks; and at 869 cm-1, the bands did not exhibit an intensity change. The overlapped

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spectra (Figure 4) allow to detect that shown spectra are very similar when the content of cocoa powder

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changes from 0% up to 5%; nevertheless, the solid mixture with 10% of cocoa powder displayed

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important variations in peak intensities at functional group frequency zone, unlike fingerprint region

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where the intensity variations were minor.

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Figure 4. Infrared spectra of different composites of agavin mixed with cocoa powder in a range of

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100% to 90%.

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A complementary analysis of the solid mixtures with higher differences in % composition of agavin-

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cocoa was carried out with the purpose of describing the vibrational profile of composites. The spectra

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are displayed in the Figure 5 and are respectively illustrated by different color lines. This schematization

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exhibits an evolutive change of absorbance intensities and shifts of vibrational bands when the cocoa

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component gets increased in the composite, in a higher degree than the showed in Figure 4, and even it

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may be used eventually as calibration curve for analogous systems when a specific functional group is

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selected, as reported previously (Espinosa-Velázquez et al., 2018).

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The comparison among depicted samples in Figure 4 and 5 allows to identify that absorption signals

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mainly undergo an augmentation in absorbance, as well as broad bands got split when the agavin

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composition diminished in the different samples from 1800 cm-1 to 1015 cm-1; bands at lower

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wavenumbers behaved in a decreasing manner. It is detectable the augmentation of the band at around

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1740 cm-1 for AgvCca 80, from very weak to medium intensity, which even got split to the bands at

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1743 cm-1, 1735 cm-1 and 1729 cm-1 for AgvCca 0. These bands are associated with esterified carbonyl

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C=O group of fatty acids (Lecumberri et al., 2007; Liendo et al., 1997), acetylated carbonyls of pectic

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material and ketones of antioxidant polyphenols present in the cocoa powder (Batista, de Andrade,

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Ramos, Dias, & Schwan, 2016; Carrillo, Londoño-Londoño, & Gil, 2014; Lecumberri et al., 2007). The

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broad and very weak band at 1643 cm-1 displayed for AgvCca 100 got increased and split in two bands

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at 1653 cm-1 and 1623 cm-1 with medium intensity. These absorption peaks correspond to the stretching

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of a C=O bond from an amide type I, N-H bending and C-C stretching of phenyl groups from

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polyphenols present in cocoa powder (Batista et al., 2016; Carrillo et al., 2014; Larkin, 2011; Pretsch et

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al., 2009). The bands at 1549 cm-1 and 1523 cm-1 for AgvCca 0, appeared and got increased from a very

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broad and almost non-existent band at 1525 cm-1 for AgvCca 80 spectra, which is associated with the

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symmetrical stretching of the atomic bonding system N-C=O that belong to amide type II and also the

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N-H bending from protein content of the cocoa (Larkin, 2011; Redgwell et al., 2003; Sotelo & Alvarez,

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1991). Absorption bands from lower wavenumbers than 1500 cm-1 down to 1280 cm-1 are mainly caused

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by the presence of C-H bond from a variety of aliphatic and phenyl groups and by different vibration

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types (see Table A.3 Supplementary material). The depicted bands at 1270 cm-1 and 1219 cm-1 by

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AgvCca 100 evolved to a set of several absorption peaks showed by the AgvCca 0 sample. Vibrational

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band group between 1280 – 1200 cm-1 region may be assigned to C-O stretching, O-H in-plane-bending

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carbohydrates and C-H in-plane-bending for phenyls present in antioxidant and aliphatic hydrocarbon

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compounds present in fatty acids of cocoa. A medium intensity absorption peak at 1248 cm-1 may be

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associated with C-O-C and N-H stretching and belongs to acetylated carbonyls and amino acid groups

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from pectic material, proteins, fatty acids and flavonoid ketones present in cocoa (Batista et al., 2016;

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Carrillo et al., 2014; Lecumberri et al., 2007). The weak shoulder type peak at 1163 cm-1 for AgvCca

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100 became split with the increment of cocoa content of the sample AgvCca 0, which are displayed as

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medium size bands at 1176 cm-1 and 1150 cm-1. The band at 1123 cm-1 for AgvCca 100 was also split to

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strong absorption peaks and shifted to 1105 cm-1, 1090 cm-1 and 1074 cm-1 for AgvCca 0. These split

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bands correspond to C-O-C bonds of carbohydrate heterocyclic rings and glycosidic links associated

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with insoluble fiber, which are also overlapped with some possible absorption peaks of the C-O-C bond

325

that belongs to the ester group of fatty acids present in the triacylglycerols of cocoa component

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(Lecumberri et al., 2007). All spectra coincide with the stronger band at 1016 cm-1 that is assigned to C-

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O-C bonds of intra and inter monosaccharide rings. The band at 930 cm-1 for AgvCca 100 diminished

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almost to disappearance in AgvCca 0, with a reduction of agavin content. These bands at 1016 cm-1 and

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932 cm-1 are associated with the spectral anomeric frequency region, which is defined by the symmetric

330

stretching vibrations of C-O-C glycosidic bonds of the polysaccharide framework (Cerna et al., 2003;

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Chung et al., 2003; Nikonenko, Buslov, Sushko, & Zhbankov, 2005; Pretsch et al., 2009; Sekkal, Dincq,

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Legrand, & Huvenne, 1995; Tipson, 1968). The medium size band at 930 cm-1 showed by AgvCca 100

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decreased to a very weak shoulder type band at 922 cm-1 and got displaced to a lower wavenumber peak

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displayed at 893 cm-1 by AgvCca 0, a similar band showed by cellulose in Figure 1 and Figure 3. This

335

evolutive band displacement from 930 cm-1 to 893 cm-1 wavenumbers coincides with the increasing of

336

insoluble dietary fiber associated with cellulose present in cocoa (Lecumberri et al., 2007).

337 338 339

Figure 5. Vibrational spectra of different composition of agavin mixed with cocoa powder in a range of

340

100% to 0%.

341 342

3.4 Vibrational analysis of commercial supplemented agavins

343 344

In order to analyze commercial supplemented agavin products, three agavins added with nutritive-value

345

ingredients were analyzed to identify their vibrational pattern, to compare them with composites

346

previously described herein and estimate composition. The commercial agavins are added with Aloe

347

vera, antioxidants (labeled as extract of green tea, cranberry, chamomile and vitamin D) and cocoa

348

(Thereobroma cocoa). The spectra of commercial products and agavin are depicted in Figure 6; agavin

349

standard is shown in the figure just for comparative goals. The assignment of the vibrational peaks

350

corresponding to the FTIR-ATR analyzed samples are listed in Table A.3 (supplementary material).

351

Bands around functional group frequency and fingerprint regions show absorption peaks with a high

352

similarity to the agavins´ (Figure 2). Nevertheless, particularities in specific bands are associated with

353

the nature of the supplemented ingredient. Regarding the functional group frequency zone, Metlin® Aloe

354

exhibited a very weak and broad pair of absorptions at 1640 cm-1 and 1570 cm-1, corresponding to

355

vibrations that belong to moisture, C=O stretching from uronic sugars and polyphenols; as well as the

356

band at 1570 cm-1 is associated with the carboxylate moiety (COO-) stretching (Chang, Chen, & Feng,

357

2011; Kiran & Rao, 2014; Okamura, Asai, Hine, & Yagi, 1996). Metlin® Antiox displayed also weak

358

and broad absorption peaks at 1682 cm-1, 1629 cm-1 and 1608 cm-1, which correspond to stretching of

359

C=O carbonyl from amides type I and N-H bending vibrations that belong to polyphenols supplied by

360

antioxidant supplement (Santos-Sánchez, Salas-Coronado, Villanueva-Cañongo, & Hernández-Carlos,

361

2019). Viv Agave® cocoa presents a similar spectrum displayed by the composite AgvCca 80 (Figure

362

5), whichalso displayed vibrational bands at 1737 cm-1 and 1651 cm-1. With respect to 1500 – 1200 cm-1

363

spectral zone, differences are basically described by the absorption intensity of peaks assigned to

364

aliphatic and aromatic C-H stretchings from carbohydrates of Aloe vera, pectic material from cocoa,

365

and also from polyphenols that are present in antioxidants(band assignation are shown in Table A.3 of

366

the supplementary material). The fingerprint zone of the samples displayed a low-size shoulder at 1157

367

cm-1 for Viv Agave® cocoa, which in common with the peak at 1107 cm-1 exhibit high resemblance to

368

the composite AgvCca60 (Figure 5); the intensity of these two absorption bands (around 0.3 Uabs for

369

band at 1157 cm-1 and 0.4 Uabs for band at 1107 cm-1) indicate that the proportion of cocoa powder in

370

Viv Agave® cocoa is in between AgvCca 80 and AgvCca 60 (20 and 40% of cocoa powder

371

composition). Absorption bands for Metlin® Aloe and Metlin® Antiox displayed high correlation, even

372

with agavin spectra when observing vibrational patterns in lower-wavenumber spectral zone.

373 374 375

Figure 6. Comparative scheme of spectra belonging to supplemented agavins Metlin® Aloe, Metline®

376

Antiox, Viv Agave® cocoa and Agavin.

377 378 379

4. Conclusions

380

The FTIR-ATR spectroscopy was used to analyze the spectra of standard carbohydrates and commercial

381

samples to identify characteristic peaks to explain their structural composition. A comparative analysis

382

of starch, inulin and cellulose with agave fructan (agavin) displayed particularities punctually described

383

for identification purposes at specific regions of the FTIR spectral window. The compilation of spectra

384

from different samples resulted an adequate method to identify changes in polysaccharide composition,

385

with individual spectra as well as with solid mixtures of standards. This schematization provides a

386

suitable manner to observe an evolutive behavior of the band intensities in accordance with the

387

concentration of the component, displaying the presence, absence, lengthening or weakening of specific

388

vibrational bands, as well as displacement of specific wavenumbers.

389

In this sense, the evaluation of the spectral fingerprint region allowed to describe absorption bands

390

susceptible to analyze the composition of artificial solid mixtures. The examination of agavin- cellulose

391

and agavin-cocoa systems resulted informative to observe change in band intensities and shifts, which

392

led to group peaks that may be even used for quantitative composition. Agavin-cellulose serial dilution

393

spectra showed stronger intensity peaks at around 1160 - 1105 cm-1 when the composition of agavin

394

decreased, and an opposite comportment with the absorption peak at 926 cm-1, where the band got

395

diminished with the reduction of agavin composition in the mixture. The system composed by agavin-

396

cocoa also showed similar behavior, with additional characteristic absorption bands that belongs to the

397

cocoa components, which helps to identify alterations of an agavin sample.

398

When a set of three commercial samples of supplemented agavins with Aloe vera, antioxidants and

399

cocoa powders were analyzed vibrationally, several signals were identified promptly considering

400

previous analyzed systems. Since the agavins were supplements with those mentioned specific type of

401

ingredients, based on their structure, the corresponding vibrational peak were readily identified. The

402

Aloe vera and antioxidant supplements did not alter the vibrational patter of the fingerprint region for

403

agavins, even the supplemented agavin with cocoa; just the vibration peak around 1160 cm-1 to 1107 cm-

404

1

405

spectroscopic analysis of agave solid mixtures is a valuable tool to procure information of food

406

ingredients for comparative goals with fructan-type commercial supplemented products, in order of

407

discriminate possible adulterations in related supplemented products.

zone displayed a slightly difference in the vibrational pattern for system analyzed. Finally, this

408 409 410 411

Acknowledgements

412

The first author thanks to CONACyT Mexico for the financial support of postdoctoral fellowship to the

413

first author. This report was partially financed and supported by the project SEP-PRODEP UCOL-

414

NPTC-250 (Mexico).

415 416

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Table 1. Types of agavin and supplemented commercial agavin suppliers. Entry

Commercial name

Supplier

Agavin A

Agave inulin

Ingredion. Monterrey, Nuevo Leon. Mexico.

Agavin B

Agave inulin

Vaserco Co. Zapopan, Jalisco, Mexico.

Agavin C

Agave inulin

Edulag. Villa Corona, Jalisco, Mexico.

Product A

Metlin® Aloe

BioTrendy Co. Zapopan, Jalisco. Mexico.

Product B

Metlin® Antioxidants

BioTrendy Co. Zapopan, Jalisco. Mexico.

Product C

Viv Agave® Cocoa

Vivagave Foods LLC. Mountlake Terrace, Washington, USA.

578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601

Table 2. Polysaccharide composition of powder mixtures Sample code

Agavin A

Cellulose

g

%

g

%

AgvCls 100

1.000

100

0.000

0

AgvCls 30

0.300

30

0.700

70

AgvCls 10

0.100

10

0.900

90

AgvCls 0

0.000

0

1.000

100

Agavin A

602 603 604 605 606 607 608 609 610 611 612 613 614 615 616

Cocoa powder

AgvCca 100

1.000

100.0

0.000

0.00

AgvCca 99.5

0.995

99.5

0.005

0.05

AgvCca 99

0.990

99.0

0.010

1.00

AgvCca 95

0.950

95.0

0.050

5.00

AgvCca 90

0.900

90.0

0.100

10.0

AgvCca 80

0.800

80.0

0.200

20.0

AgvCca 60

0.600

60.0

0.400

40.0

AgvCca 40

0.400

40.0

0.600

60.0

AgvCca 20

0.200

20.0

0.800

80.0

AgvCca 0

0.000

0.00

1.000

100.0

Table 3. Assignment of vibrational bands corresponding to the FTIR analyzed carbohydrate samples depicted in Figures 1, 2 and 3. Inulin

Starch

Cellulose

Agavin A

Agavin B

Agavin C

AgvCls100

AgvCls30

AgvCls10

AgvCls0

Bond Vibration

1640, vw

1643, vw

1643, vw

1643, vw

1642, vw

1643, vw

1643, vw

1639, vw

1637, vw

1640, vw

H-O-H st

1452, vw

1451, vw

1452, vw

1452, vw

1452

1452

1427, vw

1428, vw

1455, vw

1458, vw

C-H methyl oop bd; methylene, bd

1455, vw

C-H methyl oop bd; methylene, bd 1441, vw

1427, vw

1429, vw 1416, vw

1370, vw

1369, vw

1418, w

1420, w

1420, w

1420, w

1368, vw

1371, vw

1366, vw

1368, vw

1430, vw

1335, vw

1367, vw

1369, vw

1370, vw

1334, vw 1314, vw

1278, vw

1279, vw

1335, vw

1266, vw

1330, vw

1270, vw

1332, vw

1269, vw

1335, vw

1266, vw

1333, vw

1334, vw

1333, w

C-H methyl ip bd

1313, vw

1316, w

1316, w

C-H methyl ip bd

1278, vw

1280, vw

1282, vw

C-H methyl ip bd

1246, vw

C-O-H st; C-O-H ip bn

1241, vw

C-O-H st; C-O-H ip bn

1221, vw 1200, vw

1202, vw

1160, w 1144, m

1216, vw

1218, vw

1218, vw

1216, vw

1160, w sh

1157, vw sh

1158, vw sh

1160 vw sh

1122, w

1122, w

1124, w

1124, m

1203, vw 1159, w

1217, vw

C-O-H st; C-O-H ip bn

1201, vw

1201, vw

1202, vw

C-O-H st; C-O-H ip bn

1162, w

1160, w

1160, w

C-O-H, st; C-O-C st inter

1147, m

C-O-H, st; C-O-C st inter

1123, w 1104, m

1103, w

1103, m

1100, w

C-O-H, st; C-O-C st inter 1106, m

1105, m

1103, m

1051, s sh

1052, vs

1053, vs

C-O-H st; C-O-C intra oop st

1028, vs

1028, vs

1028, vs

C-O-H st; C-O-C intra oop st

997, vs sh

994, s sh

1076, m 1052, s sh

1040, s

1028, vs

1050, s sh

1050, s sh

1047, s sh

1047, s sh

1015, vs

1014, vs

1015, vs

1015, vs

986, s

990, s sh

930, w

879, vw sh

C-O-H st; C-O-C intra oop st

999, s sh 989, s sh

988, s sh

988, s sh

937, m

900, vw

926, m

927, m

926, m

987, s

C-O-C st intra, st inter C-O-C st intra, st inter C-O-C st intra, inter; C-O-H, st

926, m 897, w

871, vw

873, vw

873, vw

873, vw

C-O-C st intra, st inter

935, m

897, vw 859, vw

C-O-H, st; C-O-C st inter C-O-H st; C-O-C intra oop st

1054, s 1029, vs

995, vs

C-H methyl oop bd; methylene, bd C-H methyl oop bd; methylene, bd

1315, vw

1249, vw

C-H methyl oop bd; methylene, bd C-H methyl oop bd; methylene, bd; C-N st

1360, vw 1334, vw

C-H methyl oop bd; methylene, bd

873, vw sh

897, w

C-O-C st intra, inter; C-O-H, st C-O-C st intra, inter; C-O-H, st

Legends of bond types is as follows: st, stretching; bn, bending; ip, in-plane; oop, out-of-plane; s, symmetrical; as, asymmetrical; s, strong; vs, very strong; m, medium; w, weak; vw, very weak; sh, shoulder; blank, not observed; intra: cyclic ring; inter: exocyclic glycosidic bond. Bold letters represent atom bonding vibration.

Highlights • • • • •

FTIR-ATR spectroscopy is a rapid method to identify structure of polysaccharide samples. Vibrational spectra of ingredients may be used to identify adulterations in foods. Agavin and polysaccharides were characterized vibrationally to identify interest peaks. Absorption peaks assignments may be detected to find anomalies in solid mixtures. Commercial supplemented agavins displayed signals identified in the spectra of standards.

Conflict of interest declaration We, the authors, have no competing interests to declare.

Author Statement Oscar F. Vázquez-Vuelvas: Conceptualization, Methodology, Formal analysis, Writing – Original Draft, Writing - Review & Editing, Visualization. Félix A. Chávez-Camacho: Investigation, Data curation, Validation, Software. Jorge A. Meza-Velázquez: Resources, Formal Analysis, Writing - Review & Editing.

Emilio Mendez-Merino: Resources,

Formal Analysis, Writing - Review & Editing. Merab M. Ríos-Licea: Resources, Formal Analysis,

Writing

-

Review

&

Editing.

Juan

Carlos

Contreras-Esquivel:

Conceptualization, Methodology, Formal analysis, Resources, Writing - Review & Editing, Visualization, Project administration.