pág. 11779
RELATIONSHIP BETWEEN ALTITUDE AND
PHYSICAL, CHEMICAL AND ORGANOLEPTIC
QUALITY ATTRIBUTES IN BEANS OF COFFEA
ARABICA L. WITH DENOMINATION OF
ORIGIN "PLUMA" FROM OAXACA, MEXICO
RELACIÓN ENTRE LA ALTITUD Y LOS ATRIBUTOS DE
CALIDAD FÍSICA, QUÍMICA Y ORGANOLÉPTICA EN
GRANOS DE COFFEA ARABICA L. CON DENOMINACIÓN
DE ORIGEN "PLUMA" DE OAXACA, MÉXICO
Jesica Ariadna Jiménez Mendoza
Graduate Studies and Research Division, Tecnológico Nacional de México - México
Norma Francenia Santos Sánchez
Postgraduate Division of the Universidad Tecnológica de la Mixteca - México
Iván Antonio García Montalvo
Graduate Studies and Research Division, Tecnológico Nacional de México - México
Andrés Miguel Cruz
Department of Public Health of the Universidad Popular Autónoma del Estado de Puebla -
México
Carlos Francisco Varapizuela Sánchez
Graduate Studies and Research Division, Tecnológico Nacional de México - México
pág. 11780
DOI: https://doi.org/10.37811/cl_rcm.v8i6.15987
Relationship between altitude and physical, chemical and
organoleptic quality attributes in beans of Coffea arabica L. with
denomination of origin "Pluma" from Oaxaca, Mexico
Jesica Ariadna Jiménez Mendoza1
jessy.jm@gmail.com
https://orcid.org/0009-0009-8978-6524
Graduate Studies and Research Division,
Tecnológico Nacional de México/Instituto
Tecnológico de Oaxaca
México
Norma Francenia Santosnchez
nsantos@mixteco.utm.mx
https://orcid.org/0000-0001-5094-0488
Bioactive Principles Laboratory of the Natural
Products and Food Building of the Postgraduate
Division of the Universidad Tecnogica de la
Mixteca
México
Iván Antonio García Montalvo
ivan.garcia@itoaxaca.edu.mx
https://orcid.org/0000-0003-4993-9249
Graduate Studies and Research Division,
Tecnológico Nacional de México/Instituto
Tecnológico de Oaxaca
México
Ands Miguel Cruz
andres.phd92@gmail.com
https://orcid.org/0000-0002-2258-2705
Department of Public Health of the Universidad
Popular Autónoma del Estado de Puebla
México
Carlos Francisco Varapizuela Sánchez
carlos.varapizuela@itoaxaca.edu.mx
https://orcid.org/0000-0002-3803-8886
Graduate Studies and Research Division,
Tecnológico Nacional de México/Instituto
Tecnológico de Oaxaca
México
ABSTRACT
Oaxaca, Mexico, coffee (Coffea arabica L.) received its denomination of origin "Pluma" (NOM-255-
SE, 2022). Previous studies indicate that the intrinsic characteristics of coffee originate from chemical
components that intervene in the organoleptic attributes evaluated during cupping. The objective was
to analyze the physical and chemical attributes of medium roasted Coffea arabica L. beans from the
farms: La Virginia (1058 meters above sea level; masl), La Palma (1149 masl) and Nuestra Señora
del Carmen (1343 masl) located in the area of Pluma, state of Oaxaca, Mexico. The physical analysis was
performed according to NOM 255-SE-2022, the chemical analysis was attached to the AOAC, 2012,
the evaluation of the organoleptic quality was established with respect to the quality standards of the
Specialty Coffee Association and the statistical analysis was carried out by Principal Component
Analysis. The physical analysis shows that the beans from the "Nuestra Señora del Carmen" farm have
greater integrity than the other two farms, categorizing them as "premium" quality. The chemical analysis
allowed establishing the existence of a correlation between altitude and the content of lipids, proteins,
and titratable acidity, which influence the sensory characteristics of the coffee beverage, mainly in the
1
Autor Principal
Correspondencia: jessy.jm@gmail.com
pág. 11781
body and acidity.
Keywords: Coffea arabica L., physical quality, chemical quality, organoleptic quality,
Oaxaca, Mexico
pág. 11782
Relación entre la altitud y los atributos de calidad física, química y
organoléptica en granos de Coffea arabica L. con denominación de origen
"Pluma" de Oaxaca, México
RESUMEN
El café (Coffea arabica L.) de Oaxaca, México, recibió su denominación de origen "Pluma"
(NOM-255-SE, 2022). Estudios previos indican que las características intnsecas del café
provienen de los componentes químicos que influyen en los atributos organolépticos evaluados
durante la cata. El objetivo fue analizar los atributos físicos y químicos de granos de Coffea
arabica L. de tueste medio provenientes de las fincas: “La Virginia” (1058 metros sobre el
nivel del mar; msnm), “La Palma” (1149 msnm) y “Nuestra Señora del Carmen” (1343 msnm),
ubicadas en la región de Pluma, estado de Oaxaca, México. El análisis físico se realizó
conforme a la NOM 255-SE-2022, el análisis químico siguió las normas de la AOAC, 2012, la
evaluación de la calidad organoléptica se estableció según los estándares de calidad de la
Specialty Coffee Association, y el análisis estadístico se llevó a cabo mediante Análisis de
Componentes Principales. El análisis físico muestra que los granos de la finca "Nuestra Señora
del Carmen" tienen mayor integridad que los de las otras dos fincas, clasificándolos como de
calidad "premium". El análisis químico permitió establecer la existencia de una correlación
entre la altitud y el contenido de lípidos, proteínas y acidez titulable, los cuales influyen en las
características sensoriales de la bebida de café, principalmente en el cuerpo y la acidez.
Palabras clave: Coffea arabica L., calidad física, calidad química, calidad organoléptica,
Oaxaca, México
Artículo recibido 03 octubre 2024
Aceptado para publicación: 10 noviembre 2024
pág. 11783
INTRODUCTION
Worldwide, coffee is the second most consumed beverage after water and the second most consumed
product after oil (Cestari, 2021). The two main coffee exporting species are Arabica and Robusta with
18,302 and 11,970 thousand 60 kg bags, respectively (ICO, 2023). Mexico is the eleventh largest
producer and within this, the states with the highest national production of cherry coffee in the southeast
are Chiapas (35.1%), Veracruz (20.6%) and Oaxaca (18.9%), integrating 74.6% of the national surface
(SIAP, 2022). The state of Oaxaca is made up of eight regions, among which is the region of "La Costa",
which has natural factors conducive to the cultivation of coffee, such as: mountainous complex located
in the Sierra Madre del Sur, a sub-humid climate, warm, semi-warm and humid with an average annual
rainfall of 1500 mm3. “Pluma coffee must be derived from the fruits of the coffee plants of the Coffea
arabica species, fundamentally from the var. Typica as the original variety and var. L. Pluma Hidalgo,
as well as the var. Bourbon, var. Mundo Nov, var. Maragogipe, Marsellesa, Oro Azteca, Sarchimor,
Geisha and Java varities, which are produced in the territory or established protection zone (NOM-255-
SE, 2022). Roasted coffee is derived from green coffee under humidity (10-12.5%) and sanitary
conditions, subjected to a roasting process (150-250°C). The factors that influence the final quality of
the product are: geographical origin, climate, species, harvesting methods, processing and storage
(Bressani et al. (Bressani et al., 2020; Dippong et al., 2022; Monteiro et al., 2019). Recent studies seek
to establish the present relationship between sensory attributes with climate, agriculture, climate and
environmental change and it has been found that some cultivars of Coffea arabica L. have the potential
to produce high quality coffees (Oestreich-Janzen, 2013; Cordoba et al., 2020; Torres et al., 2022;
Figueiredo et al., 2019).
Coffee characteristics after roasting (bitterness, nutty odor, spiciness, and blends) have been evaluated
and according to the Specialty Coffee Association of America (SCAA), these are appreciated by
consumers (Adhikari et al., 2019). These evaluations are based on the analysis of organoleptic quality
through cuppings, in which the beverage has been categorized into two classes which are "Non-Special"
and "Special". The first is subclassified into Bad Quality (0 to 59 points) and Commercial (60 to 79
points) and the "Special" is subclassified into "maximum" to the one whose score is above 88 points,
"specialty" from 85 to 87.75 points, "premium" from 80 to 84.75 points and "regular" to the one that
pág. 11784
obtained a score of 72 to 79.75 points (NOM-255-SE, 2022; Yasmeen & Barzola, 2016). Likewise, the
importance of the evaluation of the physical and sensory quality of roasted Coffea arabica L. beans for
different markets has been highlighted (González Vázquez & Alcántara Sánchez, 2022; Huanca, 2018;
Juárez González et al., 2021; Quispe Capajaña, 2020; Vazquez-Osorio et al., 2020; Worku et al., 2018)..
In addition, it is essential to carry out a chemical analysis, since previous studies indicate that the
intrinsic characteristics of coffee originate from its chemical composition (Poltronieri & Rossi, 2016)
of those components involved in the organoleptic attributes evaluated during coffee cupping, such as
organic acids, carbohydrates, proteins, lipids, fatty acids and volatile compounds, all of which are
correlated with the acidity, body, fragrance/aroma and flavor of the coffee beverage (Specialty Coffee
Association, 2021; Martins et al., 2019). Therefore, the objective of this study was to determine the
influence of the altitude of three coffee farms (Coffea arabica L.) located in the area with the
denomination of origin "Pluma", on the physical and chemical quality attributes as well as their
relationship with the organoleptic quality.
METHODOLOGY
Samples of coffee with denomination of origin "Pluma"
These are samples of medium roasted Coffea arabica L. from the 2020 harvest, of 500 g each, from
three farms at different altitudes, which are "La Virginia", "La Palma" and "Nuestra Señora del Carmen"
located in the municipalities of Huatulco, San Miguel del Puerto and Pluma Hidalgo, Oaxaca, Mexico,
respectively and whose characteristics are described in Table 1. The climate on these farms is sub-
humid and semi- warm, with 47% humidity and an average annual rainfall of 1500 mm cubic meters
(NOM- 255-SE, 2022) conditions that have favored the cultivation of coffee and fruit trees such as
lemon, mango, tamarind, banana, coconut, orange, papaya, pineapple, watermelon and melon, as well
as bean, corn and peanut crops (INEGI, 2020).
Physical analysis of roasted beans of Coffea arabica L.
One hundred grams of Coffea arabica L. medium roasted beans were taken from each sample and the
beans with the characteristics established in the Mexican Official Standard 255 were manually selected
for the evaluation of physical attributes, such as expansion, color, roasting lightness, cracking and
texture (Table 3).
pág. 11785
Chemical analysis of roasted Coffea arabica L. beans
Two grams of medium ground roasted Coffea arabica L. were used for all chemical attribute tests (Table
3). Method 918.12 was used for pH analysis and 942.15 for titratable acidity (AOAC, 2012) using a
HANNA Instruments HI 2215 potentiometer, Rhode, Island, USA. In the case of Moisture and Ash
analyses, the methodology of the Mexican Standard for pure roasted coffee beans or ground coffee was
followed (NMX-F-013-SCFI, 2010) for the determination of ethereal extract, the AOAC method 945.16
was followed (Horwitz, W., 2010) in a Soxtec TM 8000 extraction unit, and for proteins, method
2001.11 (AOAC, 2012) using a FOSS Micro Kjeldahl digester-distiller. All analyses were carried out
in triplicate.
Evaluation of organoleptic quality Coffea arabica L.
Green coffee samples from the three farms were roasted, prepared and evaluated by a professional
cupper called Q Graders, under the protocol and quality standards established by the Specialty Coffee
Association (Specialty Coffee Association, 2021; SCA, 2018). For this, he used a roasting equipment
brand 100 MEX, MON-110V until reaching a medium roast with a reference value of color #55 on the
Agtron scale. Subsequently, he weighed 12.5 g of the roasted grain and ground it in a BUNN G3HD,
BLK mill to a particle size of 20 µm. The grist obtained was transferred to a cup for cupping and 290
mL of purified water at 95°C was added. The taster evaluated the attributes of aroma, flavor, acidity,
body, aftertaste and balance (Table 2) and entered the obtained results into an application software called
Tastify (Sustainable Harvest, 2022) to generate the results in graphical form (Figure 2).
Statistical analysis
For the analysis of the data of the physical and chemical attributes obtained experimentally, an analysis
of variance and a Tukey HSD test were performed in Excel (Microsoft Mondo 2016) to determine the
significant difference between the means with a significance level of α=0.05 as well as a Principal
Component Analysis (PCA) to reduce the dimensionality of the variables and determine their
correlation by using IBM SPSS v. 25 (International Business Machines Corp.) Statistical Software, in
which only the attributes with values greater than 1 were included.
RESULTS AND DISCUSSION
Physical analysis of roasted Coffea arabica L. beans
pág. 11786
With respect to the physical attributes of roasted coffee beans in terms of expansion, color, clear to roast
and crack, using the Tukey test (p>0.05), it was found that there is a significant difference between the
samples from the La Virginia”,La Palmaand “Nuestra Señora del Carmen farms, with the
exception of the texture attribute (Table 3). The roasted coffee beans from the "La Virginia" farm
showed the greatest expansion (95.33±0.01), which indicates uniformity and provides information
about the quality of the work of harvesting the beans and subsequent stages such as drying, selection
and wet milling. With respect to color, the beans from the "La Palma" farm showed the least
homogeneity (87.33±0.01) in the development of the roasted coffee bean. In the three farms, light beans
were found at roasting (3-5 beans/100 g), representing 95.33±0.01, 92.67±0.01 and 98.67±0.01 for the
farms "La Virginia", "La Palma" and "Nuestra Señora del Carmen", respectively. The analysis of this
parameter allowed us to infer that the beans from the "Nuestra Señora del Carmen" farm are harvested
and separated from immature beans in the cherry coffee in an adequate manner. Additionally, the
parameter of light roasted beans indicates the magnitude in which the light roasted beans affect the
physical and cup quality for high quality coffee preparations. The fissure refers to the opening in the
bean while the texture refers to the degree of roughness or lack there of on its surface, both parameters
in the development of roasted coffee. In the case of texture, there is no significant difference between
the beans from the three farms; however, the beans with the greatest openness (77.60.01) are the
beans from the "La Virginia" farm.
Chemical analysis of roasted Coffea arabica L. beans
Table 3 shows that the pH varies among the farms analyzed; however, the titratable acidity expressed
in mg of chlorogenic acid per gram of roasted coffee increases as the altitude of the farms studied
increases. It can be seen that the sample that presents the highest acidity is the one corresponding to the
farm "Nuestra Señora del Carmen" with 23.14±0.82 mg of chlorogenic acid per gram of roasted coffee.
The acidity of coffee is related to organic acids such as malic and citric acid (Solis & Herrera, 2005)
that influence the pH value related to coffee quality (Martins et al., 2019). (Martins et al., 2019). Acids
in coffee are divided into organic and chlorogenic acids (Yeager et al., 2021). The latter compounds
found in coffee consist of caffeic and quinic acid, which are flavor precursors and impart bitterness,
astringency and acidity to coffee. Chlorogenic acids are esters of quinic acid and the most abundant one
pág. 11787
is 5-caffeoylquinic acid (Sos & Herrera, 2005). Additionally, acidity is influenced by factors such as
the level of maturation of the bean, its subsequent processing, and by roasting (Wang & Lim, 2012).
Moisture content depends on the degree of roasting (Farah, 2004). The degree of roasting of the
samples from the three farms was medium toasting, and the beans with the highest percentage were
those from the "Nuestra Señora del Carmen" farm (4.40± 0.14), followed by "La Virginia" (3.73± 0.14)
from Huatulco and "La Palma" (2.87± 0.10) from San Miguel del Puerto. This is due to the climatic
characteristics of Pluma Hidalgo and Huatulco, which have a higher humidity in the environment. With
respect to ash content, the samples "La Virginia" and "Nuestra Señora del Carmen" do not show
significant differences, unlike the "La Palma" farm, which has a statistically significant difference with
respect to the other two farms. It is worth mentioning that in both moisture and ash analysis, the
analyzed samples were within the permissible limits of moisture (<6%) and ash (maximum 6.5%) of
NMX-F-013-SCFI-2010.
In this study, a higher percentage of fat was found for the sample from the "Nuestra Señora del Carmen"
farm (14.23±0.04) located in Pluma Hidalgo, followed by the "La Palma" (14.00±0.03) and "La
Virginia" (13.37±0.03) farms, which statistically present differences between them in this chemical
parameter associated with the body of the beverage. Data described about the fatty acids contained in
the lipidic fraction extracted by the Soxhlet method reported a content in percentage of saturated fatty
acids 3.58±0.3 (C12:0), 1.99 ±0.3 (C14:0), 43.64 ±0.3 (C16:0), 6.48 ±0.2 (C18:0) and 2.39 ±0.3
(C20:0), monounsaturated such as 8.16 ±0.4 (C18:1) and of the polyunsaturated 32.45 ±0.3 (C18:2) and
1.31 ±0.3 (C18:3) (Somnuk et al., 2017). The lipid fraction is known to contribute to aroma formation
during the roasting process due to decomposition and autooxidation reactions as well as provide body
to the coffee beverage (Barbosa et al., 2019).
Regarding the percentage of protein obtained in the beans of Coffea arabica L. of 8.50±0.04, 8.68±0.04
and 8.85±0.04%, for the farms "La Virginia", "La Palma" and "Nuestra Señora del Carmen"
respectively, an increase in the percentage was found (Table 3) as the altitude increases where these
farms are located (Table 1) with denomination of origin "Pluma". It is worth mentioning that the
reported percentage in fat is below the 17% reported for Coffea arabica L. (Ochoa, 2016) roasted, while
those of protein obtained fall within the reported 7.5 to 10%. (Farah A., 2012).
pág. 11788
Evaluation of the organoleptic quality of Coffea arabica L. beverage
The evaluated cups of roasted Coffea arabica L. beans were found in the premium category with
82.75, 81.85 and 82.75 points, for the "La Virginia", "La Palma" and "Nuestra Señora del Carmen"
farms (Table 2), respectively, which indicates that according to the Specialty Coffee Association they
fall within the category of specialty coffees (NOM-255-SE, 2022; Yasmeen & Barzola, 2016; Yasmeen
& Barzola, 2016). It can also be observed that in aroma, aftertaste, flavor and in general, the beans
coming from "La Virginia" farm (7.75) presents the highest score, in acidity and balance, the cupper
perceived the same since it has the same score for the three samples, however, in body the farms of "La
Palma" and "Nuestra Señora del Carmen" present more values, however, in final score or score, the
farms of "La Virginia" and "Nuestra Señora del Carmen" obtained the same and higher with respect to
"La Palma". Previous studies mention the influence of the altitude of the cultivation areas on cup
quality, such as the one carried out in Brazil, where the effect of the orientation of the mountains, altitude
and variety on the quality of the beverage from the Matas de Minas region was evaluated (Ferreira et
al., 2002) and where a significant influence of altitude on sensory attributes was found. Finally, in the
samples, sensory descriptors (Table 2) were found in common such as chocolate, dried fruit and
sugarcane flavor, clean (no off-flavors) and raisins. In the sample from the farm "La Virginia", Huatulco,
peanut flavor was described, which has been widely cultivated in this municipality. In the "Nuestra
Señora del Carmen" farm, additional descriptors such as cocoa and nutty were perceived. These sensory
descriptors are associated with the values obtained in the cupping of the coffee beverage (Figure 2),
which shows a tendency towards a greater aroma/fragrance, flavor and balance of the sensory attributes
mentioned above.
Principal Component Analysis (PCA)
It was reduced from a dimension of 12 variables to 6 in component 1 (expansion, color, cracking, pH,
moisture and ash), which could be called "physicochemical quality parameters" and 6 in component 2
(altitude, texture, titratable acidity, lipids, proteins and clear to roast), which we call "chemical variables
associated with altitude". Table 4 shows a high relationship between altitude and the percentage of
proteins and lipids, and the latter with titratable acidity, as well as color with the expansion or uniformity
pág. 11789
of the grain and pH. There is also a minor relationship between ash content and moisture, color and
roasting lightness, as well as between protein content and titratable acidity.
Figure 3 shows the scatter plot of the variables with a total variance explained of 97.609%, being 52.20
and 45.41% for component 1 and 2, respectively. The height of the location of the farms sampled was
highly related to the percentage of lipids and proteins, as well as of manually selected roasting spacings
with the moisture and ash content. Grain cracking with color and pH are inversely proportional and
there is proportionality between protein content and grain texture. The regression of components 1 and
2, in Figure 3, shows the spatial distribution of the farms analyzed, in which it is observed that the farms
"La Palma" and "La Virginia" are inversely proportional, while the farm "Nuestra Señora del Carmen"
has the highest values with respect to the other two farms, because the data obtained show that at higher
altitudes some variables that are closely related to this variable are affected, such as the percentage of
proteins, lipids and titratable acidity. This coincides with studies where the influence of altitude on the
body was analyzed in relation to the percentage of lipids and titratable acidity in grains of Coffea
arabica L. grown in 40 provinces of Ecuador (Duicela Guambi et al., 2017).
CONCLUSIONS
According to the physical attributes, the grains of the sample from Pluma Hidalgo (98.67±0.01) showed
greater integrity than the other two samples. The analysis of the chemical composition indicates that
there is a relationship between the altitude (masl) of the location of each of the farms sampled with
respect to the percentage of lipids (13.37±0-03- 14.20.04) and proteins (8.50±0.04-8.85±0.04). With
respect to the evaluation of the cup quality of the coffee, all the samples were categorized as specialty
coffees in the "premium" subcategory.
The principal component analysis explains the dimensionality model of components 1 and 2 with
97.61% of total variance explained and indicates that fat composition, protein and titratable acidity are
highly related to altitude and all these parameters are directly related to the percentage of light to roast,
moisture and ash. There is also an inversely proportional relationship between altitude and texture.
It is suggested that another analysis of Coffea arabica L. beans from farms with higher altitudes than
those considered in this study and that are also within the area with the "Pluma" denomination of origin
be carried out.
pág. 11790
Conflict of interest
The authors declare that they have no conflicts of interest.
Acknowledgments
The authors would like to thank the Cluster "El Oro Verde de Oaxaca, A.C.", the Department of
Graduate Studies and Research of the Instituto Tecnogico de Oaxaca and CONACYT for the
maintenance grant number 2020-0000626-02NACF-18710.
BIBLIOGRAPHIC REFERENCES
Adhikari, J., Chambers, E., & Koppel, K. (2019). Impact of consumption temperature on sensory
properties of hot brewed coffee. Food Research International, 115, 95-104.
https://doi.org/10.1016/j.foodres.2018.08.014
AOAC (2012). Official Methods of Analysis of AOAC International (P. Cunniff (Ed.)).
Barbosa, M. de S. G., Scholz, M. B. dos S., Kitzberger, C. S. G., & Benassi, M. de T. (2019). Correlation
between the composition of green Arabica coffee beans and the sensory quality of coffee
brews. Food Chemistry, 292 (September 2018), 275-280.
https://doi.org/10.1016/j.foodchem.2019.04.072
Bressani, A. P. P. P., Martinez, S. J., Sarmento, A. B. I., Bom, F. M., & Schwan, R. F. (2020). Organic
acids produced during fermentation and sensory perception in specialty coffee using yeast
starter culture. Food Research International, 128, 108773.
https://doi.org/10.1016/j.foodres.2019.108773
Cestari, A. (2021). Development of a fast and simple method to identify pure Arabica coffee and blended
coffee by Infrared Spectroscopy. Journal of Food Science and Technology, 58(9), 3645-3654.
https://doi.org/10.1007/s13197-021-05176-4. https://doi.org/10.1007/s13197-021-05176-4
Cordoba, N., Fernandez-Alduenda, M., Moreno, F. L., & Ruiz, Y. (2020). Coffee extraction: A review
of parameters and their influence on the physicochemical characteristics and flavour of coffee
brews. Trends in Food Science and Technology, 96, 45-60.
https://doi.org/10.1016/j.tifs.2019.12.004
pág. 11791
Dippong, T., Dan, M., Kovacs, M. H., Kovacs, E. D., Levei, E. A., & Cadar, O. (2022). Analysis of
Volatile Compounds, Composition, and Thermal Behavior of Coffee Beans According to
Variety and Roasting Intensity. Foods, 11 (19). https://doi.org/10.3390/foods11193146
Duicela Guambi, L.A., Velásquez Cedeño, S. del R., & Farfán Talledo, D. S. (2017).
Organoleptic quality of arabica coffees in relation to varieties and altitudes of growing areas, Ecuador.
Revista Iberoamericana de Tecnología Postcosecha, 18(1), 67-77.
https://www.redalyc.org/pdf/813/81351597010.pdf
Farah (2004). Distribution in the bean, influence on beverage quality and bioavailability of chlorogenic
acids in coffee. Federal University of Rio de Janeiro, Brazil.
Farah A. (2012). Coffee: Emerging Health Effects and Disease Prevention, Institute of Food
Technologists, 27-43. https://doi.org/10.1002/9781119949893
Ferreira, W. P. M., Queiroz, D. M., Silvac, S. A., Tomaz, R. S., & Corrêa, P. C. (2016). Effects of the
Orientation of the Mountainside, Altitude and Varieties on the Quality of the Coffee Beverage
from the "Matas de Minas" Region, Brazilian Southeast. American Journal of Plant Sciences,
07(08), 1291-1303. https://doi.org/10.4236/ajps.2016.78124.
Figueiredo, L. P., Bom, F. M., Almeida, M. R., Oliveira, L. F. C. de, Alves, A. P. de C., & Santos, C.
M. dos. (2019). Raman spectroscopy for the differentiation of Arabic coffee genotypes. Food
Chemistry, 288(January), 262-267. https://doi.org/10.1016/j.foodchem.2019.02.093
González Vázquez, A., & Alcántara Sánchez, D. (2022). Organoleptic quality of traditional elite
varieties of coffea arabica L. in Chiapas, Mexico. Ciencia Latina Revista Científica
Multidisciplinar, 6(6), 5218-5231. https://doi.org/10.37811/cl_rcm.v6i6.3806
Horwitz, W., Latimer, G. W., & A. of O. A. C. (2010). AOAC Method 945.16.
Determination of Lipids (18th ed.).
Huanca, M. L. (2018). Physical evaluation of coffee bean (Coffea arabica L.) in different types of
roasting and sensory quality, in cup destined to different Markets. 1158.
http://repositorio.umsa.bo/xmlui/handle/123456789/23813
INEGI. (2020). SCITEL. https://www.inegi.org.mx/app/scitel/consultas/index International Coffee
Organization. (2023). Coffee Market Report.
pág. 11792
https://icocoffee.org/es/specialized-reports/
Juárez González, T., Maldonado Astudillo, Y. I., González Mateos, R., Ramírez Sucre, M. O., Álvarez
Fitz, P., & Salazar, R. (2021). Physicochemical and sensory characterization of coffee from the
mountains of Guerrero. Revista Mexicana de Ciencias Agrícolas, 12(6), 1057-1069.
https://doi.org/10.29312/remexca.v12i6.2773
Martins, P. M. M. M., Ribeiro, L. S., Miguel, M. G. da C. P., Evangelista, S. R., & Schwan,
R. F. (2019). Production of coffee (Coffea arabica) inoculated with yeasts: impact on quality. Journal
of the Science of Food and Agriculture, 99(13), 5638-5645. https://doi.org/10.1002/jsfa.9820.
NMX-F-013-SCFI, (2010). Pure roasted coffee, in beans or ground, not decaffeinated or decaffeinated.
Specifications and test methods. Ministry of Economy. United Mexican States.
Monteiro, P. I., Santos, J. S., Rodionova, O. Y., Pomerantsev, A., Chaves, E. S., Rosso, N. D., & Granato,
D. (2019). Chemometric Authentication of Brazilian Coffees Based on Chemical Profiling.
Journal of Food Science, 84(11), 3099-3108. https://doi.org/10.1111/1750-3841.14815.
NOM-255-SE, (2022). Pluma coffee, denomination, specifications, commercial information and test
methods. Ministry of Economy. United Mexican States.
Ochoa, M. L. P. (2016). Phenolic compounds and fatty acid profile in green and roasted coffee beans
(Coffea arabica L.) of cultivated varieties and hybrids.
Oestreich-Janzen, S. (2013). Physicochemical and sensory characterization of two coffee (Coffea
arabica L.) varieties from western Honduras. In Reference Module in Chemistry, Molecular
Sciences and Chemical Engineering (Issue March). Elsevier Inc. https://doi.org/10.1016/B978-
0-12-409547-2.02786-4
Poltronieri, P., & Rossi, F. (2016). Challenges in Specialty Coffee Processing and Quality Assurance.
Challenges, 7(2), 19. https://doi.org/10.3390/challe7020019
Quispe Capajaña, M. (2020). Study of physical quality and cup quality of coffee (Coffea arabica L.)
from two growing areas of Sandia province harvest 2019. Revista Cientifica I+D Aswan
Science, 1(1). https://doi.org/10.51392/rcidas.v1i1.2.
pág. 11793
SCA (2018). Specialty Coffee Association. Coffee Standards Table of Contents. 14.
https://static1.squarespace.com/static/584f6bbef5e23149e5522201/t/5bd985c1352f53cb4cc1b
e48/1540982325719/Coffee+Standards-Digital.pdf
SIAP. (2022). Monthly scenario of agrifood products. Coffee. Agriculture, 55, 4-
6.https://www.gob.mx/cms/uploads/attachment/file/653161/Escenario_huevo_jun21.p df
Solís, L. D., & Herrera, C. H. (2005). Development of an analytical method for the quantification of
chlorogenic acids in coffee. Agronomía Costarricense, 29(2), 99-107.
Somnuk, K., Eawlex, P., & Prateepchaikul, G. (2017). Optimization of coffee oil extraction from spent
coffee grounds using four solvents and prototype-scale extraction using circulation process.
Agriculture and Natural Resources, 51(3), 181-189.
https://doi.org/10.1016/j.anres.2017.01.003
Specialty Coffee Association (2021). Https://Sca.Coffee/.
Sustainable Harvest (2022). Tastify. Portland, OR. https://www.sustainableharvest.com/tastify-free-trial
Torres, G. A. L., Zezzo, L. V., Greco, R., & Coltri, P. P. (2022). Exposure To Climate Risk:
A Case Study For Coffee Farming In The Region Of Alta Mogiana , São Paulo. 94, 1-21.
https://doi.org/10.1590/0001-3765202220211379
Vazquez-Osorio, Y., Vuelta-Lorenzo, D., & Rizo-Mustelier, M. (2020). Studies on coffee (Coffea
arabica) quality in Cuba. Redalyc, 66-81.
Wang, N., & Lim, L. T. (2012). Fourier transform infrared and physicochemical analyses of roasted
coffee. Journal of Agricultural and Food Chemistry, 60(21), 5446-5453.
https://doi.org/10.1021/jf300348e.
Worku, M., de Meulenaer, B., Duchateau, L., & Boeckx, P. (2018). Effect of altitude on biochemical
composition and quality of green arabica coffee beans can be affected by shade and post harvest
processing method. Food Research International, 105, 278-285.
https://doi.org/10.1016/j.foodres.2017.11.016
Yasmeen, J., & Barzola, R. (2016). Universidad Nacional Agraria La Molina.
pág. 11794
Yeager, S. E., Batali, M. E., Guinard, J. X., & Ristenpart, W. D. (2021). Acids in coffee: A review of
sensory measurements and meta-analysis of chemical composition. Critical Reviews in Food
Science and Nutrition, 63(8), 1010-1036.
pág. 11795
Figure 1. Graphical representation of the sensory attributes of the farms "La Virginia", "La Palma" and
"Nuestra Señora del Carmen
Figure 2. Clustered dispersion of linear regression of component 1 and 2 by farms with
the variables associated with the PCA
Table 1 Location of the study farms Coffea arabica L. with denomination of origin
"Pluma"
Finca
Location
Altitude (masl)
La Virginia
Huatulco
1058
La Palma
San Miguel del Puerto
1149
Nuestra Señora
del Carmen
Pluma Hidalgo
1343
7
7,2
7,4
7,6
7,8
Aroma
Taste
Acidity
BodyAfter taste
Balance
General
La Virginia La Palma Nuestra Señora del Carmen
pág. 11796
Table 2. Sensory scores and descriptors obtained from the organoleptic evaluation of the
coffee beverage made from Coffea arabica L. beans with denomination of origin "Pluma"
Sensory Attribute
La Virginia
La Palma
Nuestra Señora
del Carmen
Aroma
7.75
7.5
7.5
Taste
7.75
7.5
7.5
Acidity
7.5
7.5
7.5
Body
7.25
7.37
7.37
Aftertaste
7.5
7.37
7.37
Balance
7.5
7.5
7.5
General
7.5
7.37
7.37
Score
82.75
81.85
82.75
Sensory descriptors
chocolate, peanut, clean, dried fruit,
fresh, raisins and sugar cane
chocolate, clean, dried fruit,
fresh, raisins and sugar cane
cocoa, chocolate, nuts,
herbs, sugar cane and
candies
pág. 11797
Table 3. Physical and chemical attributes of Coffea arabica L. with denomination of origin "Pluma"
Farms
Physicists
Chemicals
Expansion
Color
Clear to
roast
Crack
Texture
pH
Acidity
Humidity
Ashes
Grease
Protein
La Virginia
95.33±0.01a
90.33±0.01a
95.33±0.01a
77.67±0.01a
98.67±0.01a
5.56±0.01a
19.37±0.82a
3.73±0.14a
4.08±0.01a
13.37±0.03a
8.50±0.04a
La Palma
91.67±0.01b
87.33±0.01b
92.67±0.01b
94.67±0.01b
98.67±0.01a
5.41±0.01b
22.20±0.82b
2.87±0.10b
3.82±0.02b
14.00±0.03b
8.68±0.04b
Nuestra
Señora del
Carmen
92.67±0.01b
90.33±0.01a
98.67±0.01c
82.67±0.01c
97.67±0.01a
5.53±0.01c
23.14±0.82b
4.40±0.14c
4.13±0.10a
14.23±0.04c
8.85±0.04c
*mg of chlorogenic acid per gram of ground roasted coffee.
Values in the same column with different letters indicate statistical differences obtained by Tukey's test (p>0.05).
Table 4. Correlation matrix based on altitude and physical and chemical attributes
Altitude
Expansion
Color
Clear to
roast
Crack
Texture
pH
Titratable
Acidity
Humidity
Ashes
Lipids
Proteins
Altitude
1.000
-0.486
-0.127
0.666
0.084
-0.950
-0.020
0.816
0.602
0.313
0.890
0.952
Expansion
-0.486
1.000
0.929
0.327
-0.912
0.189
0.881
-0.774
0.390
0.626
-0.826
-0.654
Color
-0.127
0.929
1.000
0.655
-0.999
-0.189
0.992
-0.532
0.698
0.844
-0.559
-0.338
Clear to
roast
0.666
0.327
0.655
1.000
-0.687
-0.866
0.730
0.222
0.984
0.873
0.258
0.471
Crack
0.084
-0.912
-0.999
-0.687
1.000
0.231
-0.995
0.499
-0.728
-0.861
0.523
0.298
Texture
-0.950
0.189
-0.189
-0.866
0.231
1.000
-0.293
-0.640
-0.816
-0.576
-0.705
-0.836
pH
-0.020
0.881
0.992
0.730
-0.995
-0.293
1.000
-0.442
0.766
0.894
-0.464
-0.247
Titratable
Acidity
0.816
-0.774
-0.532
0.222
0.499
-0.640
-0.442
1.000
0.114
-0.125
0.914
0.857
Humidity
0.602
0.390
0.698
0.984
-0.728
-0.816
0.766
0.114
1.000
0.895
0.185
0.420
Ashes
0.313
0.626
0.844
0.873
-0.861
-0.576
0.894
-0.125
0.895
1.000
-0.120
0.112
Lipids
0.890
-0.826
-0.559
0.258
0.523
-0.705
-0.464
0.914
0.185
-0.120
1.000
0.947
Proteins
0.952
-0.654
-0.338
0.471
0.298
-0.836
-0.247
0.857
0.420
0.112
0.947
1.000
a. Determinant=.00