The biorefinery concept for the industrial valorization of coffee processing by-products

Aristizábal-Marulanda, Valentina; Chacón-Perez, Yéssica; Álzate, Carlos Ariel Cardona

doi:10.1016/b978-0-12-811290-8.00003-7

Cited by 31 publications

(24 citation statements)

References 72 publications

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“…Table 1 presents the results obtained from the bromatological analysis, and the cellulose and lignin present in the coffee pulp, some literature review reports, and the analytical method follow for the parameters determination. When comparing the bromatological results to those reported by other authors, it is observed that at the total protein level, the percentages were very similar to those obtained by Blandón et al (1999) [32] and Aristizábal, Chacón, and Cardona (2017) [36]; it is for this reason that CP is used as a raw material in the production of animal food, soil vermiculture, and for the cultivation of edible fungi (Pleurotus ostreatus) [36,40], while the results of carbohydrates, lignin, and cellulose have certain differences.…”

Section: Bromatological Analysis and Lignocellulosic Contentsupporting

confidence: 86%

Using Coffee Pulp as Bioadsorbent for the Removal of Manganese (Mn (II)) from Synthetic Wastewater

Aguilar

Miranda

Guzmán

et al. 2020

Water

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This research focuses on the removal of contaminants from wastewaters as a matter of great interest in the field of water pollution. The first decades of the 21st century have brought numerous approaches for the development of cheaper and more effective adsorbents capable of eliminating heavy metals. The study aims to examine the way coffee pulp (Castilla variety from Caldas, Colombia) was used as a bioadsorbent for the removal of Mn (II) from synthetic wastewater to fulfill goals 3 and 6 proposed in the Sustainable Development Goals stated for the 2030 Agenda, particularly in Sections 3.9 and 6.9. In order to achieve this objective, the agricultural residue was subjected to bromatological characterization, determination of the lignocellulosic composition, and identification of characteristic organic functional groups through IR spectrophotometry, using the ATR (attenuated total reflection) technique. Additionally, the optimal parameters for contaminant removal were identified, regarding the biomass quantity, the optimum pH, the stirring time, the adsorption kinetics, the zero charge potential (pHpzc), the adsorption isotherms, and the explanation of the possible adsorption mechanisms between the contaminant, the surface of the coffee pulp, and the capacity of maximum adsorption. The results show that lignocellulosic material presented a cellulose content of 29.93 ± 0.21% and a lignin content of 19.25 ± 0.16%. The optimum parameters found were as follows: Particle size of 180 µm, contact time from 90 min to 100 RPM, optimum pH of 4.0 pH units, room temperature; the kinetic model adjusted to the bioadsorption process was Ho and McKay’s pseudo-second-order, under an isotherm of the Langmuir model, for which the removal presented was 53.40%, with a maximum adsorption capacity of 8.01 mg × g−1. Finally, the novelty of the reported research consists of using coffee pulp as a bioadsorbent without chemical modification, for the removal of heavy metals, in this case Mn (II), in industrial wastewater, which would be another application of this coffee by-product.

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Section: Bromatological Analysis and Lignocellulosic Contentsupporting

confidence: 86%

Using Coffee Pulp as Bioadsorbent for the Removal of Manganese (Mn (II)) from Synthetic Wastewater

Aguilar

Miranda

Guzmán

et al. 2020

Water

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“…During the coffee processing, the biological losses are accounted for up to 40–45% and the losses include pulp, husk, parchment, silver skin and spent coffee grounds [ 6 ]. Coffee pulp is weighed as high as 29% of the total dried weight which is disposed of as waste and has become an environmental pollution that incurs a high cost of management [ 7 ]. Therefore, considering their availability, which is practically of low cost, attempts have been made in order to value-add this agro-industrial biomass through the recovery of bioactive components [ 6 , 7 , 8 , 9 , 10 ].…”

Section: Introductionmentioning

confidence: 99%

Recovery of Polyphenolic Fraction from Arabica Coffee Pulp and Its Antifungal Applications

Sangta

Wongkaew

Tangpao

et al. 2021

Plants

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Coffee pulp is one of the most underutilised by-products from coffee processing. For coffee growers, disposing of this agro-industrial biomass has become one of the most difficult challenges. This study utilised this potential biomass as raw material for polyphenolic antifungal agents. First, the proportion of biomass was obtained from the Arabica green bean processing. The yield of by-products was recorded, and the high-potency biomass was serially extracted with organic solvents for the polyphenol fraction. Quantification of the polyphenols was performed by High Performance Liquid Chromatography (HPLC), then further confirmed by mass spectrometry modes of the liquid chromatography–quadrupole time-of-flight (QTOF). Then, the fraction was used to test antifungal activities against Alternaria brassicicola, Pestalotiopsis sp. and Paramyrothecium breviseta. The results illustrated that caffeic acid and epigallocatechin gallate represented in the polyphenol fraction actively inhibited these fungi with an inhibitory concentration (IC50) of 0.09, 0.31 and 0.14, respectively. This study is also the first report on the alternative use of natural biocontrol agent of P. breviseta, the pathogen causing leaf spot in the Arabica coffee.

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“…Recall is defined as the true positive rate where p is true positive and fn is false-negative as shown in (2).…”

Section: Prediction and Validationmentioning

confidence: 99%

“…Coffea Arabica is the most popular coffee variety and produces the 75% of coffee production in the world because of its rich flavor and aroma [1]. Arabica plants grows in high altitudes area and the most expensive coffee variety [2]. In the Philippines, arabica coffee marked the second largest production among four types named Robusta, Excelsa and Liberica.…”

Section: Introductionmentioning

confidence: 99%

Image Processing Techniques and Data Mining Algorithms for Coffee Plant’s Leaves Classification

Lewis¹

2020

IJATCSE

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Arabica coffee is known for its unique taste and aroma. This coffee variety contributed majority of coffee production in the world. However, arabica coffee and other coffee varieties are prone to extinction because of several reasons including climate change, drought, diseases and issues in identification of nutritional deficiencies. Nutritional deficiencies are identified and classified manually with an expert to validate the visual symptoms occurred in the coffee leaves. On the other hand, the utilization of image processing to analyze images as well as data mining is a strong combination for classification. Therefore, this study was conducted to classify the nutritional deficiencies in arabica coffee plants including Phosphorus (P) and Potassium (K) using image processing and data mining. The images of 2045 instances with 1001 features undergone image processing techniques such as image acquisition, image pre-processing and image analysis. The 70% of data was for training and 30% was for testing using Waikato Environment of Knowledge Analysis (WEKA) and Orange Visual Programming. Random Forest, Support Vector Machine (SVM), Neural Network (ANN) and K-Nearest Neighbors (KNN) served as the classifiers of two classes. Results shows that SVM has the highest AUC of 1.000 and CA, F1, Precision and Recall of 0.983. The Correctly Classified Instances (CCI) is 98.73% and Incorrectly Classified Instances (ICI) is 1.27%. Further, the Kappa statistics of 0.97 shows an almost perfect value of agreement and implies that the classifier is better in coffee plants leave classification together with image processing.

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The biorefinery concept for the industrial valorization of coffee processing by-products

Cited by 31 publications

References 72 publications

Using Coffee Pulp as Bioadsorbent for the Removal of Manganese (Mn (II)) from Synthetic Wastewater

Using Coffee Pulp as Bioadsorbent for the Removal of Manganese (Mn (II)) from Synthetic Wastewater

Recovery of Polyphenolic Fraction from Arabica Coffee Pulp and Its Antifungal Applications

Image Processing Techniques and Data Mining Algorithms for Coffee Plant’s Leaves Classification

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