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Study on Compound Stabilizer Formulation for mango Juice with Skin

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Agricultural Biotechnology 2024年第1期13卷 78-83页

作者： Ziyi YANG Yurong WANG Licheng LIU Zijing WANG Jiamei LIU College of Biomedicine and Chemical Engineering Liaoning Institute of Science and TechnologyBenxi 117004China

[Objectives]The effects of stabilizers such as sodium carboxymethyl cellulose,pectin,sodium alginate and xanthan gum on the stability of mango juice with skin were discussed using mango as the raw material.[Methods]The formula and stability of mango beverage with skin were studied using mango juice with skin as the raw *** stabilizers,including pectin,sodium alginate and sodium carboxymethyl cellulose,were added to improve the stability of the *** on single factor experiments and a response surface experiment,the stability model of mango juice was established to determine the best compound stabilizer.[Results]According to an orthogonal experiment on the stability of mango juice with skin,the optimum technical parameters were as follows:sodium carboxymethyl cellulose 0.20%,xanthan gum 0.08%,sodium alginate 0.18%,and pectin 0.14%,with which the optimal suspension stability was 69.12%.The optimum technical parameters from the response surface experiment were as follows:sodium carboxymethyl cellulose 0.199%,pectin 0.1185%,sodium alginate 0.163%,and xanthan gum 0.077%,with which the suspension stability was 70.32%.It was found that the stability of mango juice with skin obtained by the response surface experiment was better than that by the orthogonal experiment,and the order of factors affecting the stability of mango was sodium alginate(C)>sodium carboxymethyl cellulose(A)>pectin(D)>xanthan gum(B).[Conclusions]The formula of compound stabilizer for mango juice was optimized by the orthogonal experiment and the response surface method,providing a theoretical basis for the actual production of mango juice with skin.

关键词： mango Stability of fruit juice Response surface experiment Optimization

A novel oil-in-water drilling mud formulated with extracts from Indian mango seed oil

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Petroleum Science 2020年第1期17卷 196-210页

作者： Saket Kumar Aarti Thakur Nitesh Kumar Maen M.Husein Department of Chemical and Petroleum Engineering The University of CalgaryCalgaryAB T2N 1N4Canada Emerson Innovation Center PuneMaharashtraIndia MDNK Oil and Gas Consultants MumbaiMaharashtraIndia

Drilling muds with less environmental impact are highly desired over conventional diesel-based mud systems,especially in light of the emerging strict environmental *** this article,a novel oil-in-water(O/W)emulsion drilling fluid formulated with a methyl ester extracted from Indian mango seed oil was *** effect of the weight percent of different constituents of the emulsion/suspension including the oil phase,bentonite,and polyanionic cellulose polymer on the rheology and the fluid loss was *** methyl ester oil phase/mud system displayed superior physical,chemical,rheological and filtration properties relative to the diesel and the mango seed ***-toxicity of the methyl ester and diesel(O/W)emulsion mud systems was assessed using the acute lethal concentration *** Indian mango methyl ester(O/W)emulsion mud displayed much less impact on fish *** characteristics collected from the flow model at 85°C suggested excellent shear thinning behavior of the Indian mango methyl ester(IMME)(O/W)emulsion ***,the IMME(O/W)emulsion displayed strong pseudoplastic behavior,an attractive feature in a drilling mud,with increasing clay content and polymer *** methyl ester mud was thermally stable over a wide range of the constituent ***,a particle size analysis revealed that engineered drilling muds targeting suspension of particles with certain size range can be formulated by changing the volume fraction of the methyl ester in the mud system.

关键词： Indian mango seed oil Fluid loss Emulsion drilling mud Shear thinning Pseudoplastic fluid

The chemical treatments combined with antagonistic yeast control anthracnose and maintain the quality of postharvest mango fruit

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Journal of Integrative Agriculture 2019年第5期18卷 1159-1169页

作者： SHAO Yuan-zhi ZENG Jiao-ke TANG Hong ZHOU Yi LI Wen College of Food Science Hainan University College of Horticulture Hainan University

During the storage and transportation of the mango fruit, the major source of disease is anthracnose, caused by the fungus Colletotrichum gloeosporioides. The objective of this study is to find an appropriate method that not only reduces mango decay but also maintains its postharvest quality. The effects of chemicals, the use of the yeast species Metschnikowia pulcherrima and their combination on storage quality, focusing on the enzyme activity related to disease of Tainong mangos was studied. By immersing the mangoes in M. pulcherrima suspension(1.0×10~8 cfu mL^(–1)), salicylic acid(SA) solution(50 mg L^(–1)) or calcium chloride(CaCl_2) solution(1.0 g L^(–1)), the lesion expansion and decay of the mango fruit caused by C. gloeosporioides could be significantly delayed. These treatments also delayed the changes in quality traits(a~* value, firmness, contents of total soluble solids(TSS) and vitamin C(Vc), while the activities of anti-disease enzymes such as polyphenol oxidase(PPO), phenylalanine ammonia lyase(PAL), chitinase(CHT) and β-1,3-glucanase(GUN) were enhanced as compared to the control treatment. Furthermore, the combination of SA solution, CaCl_2 solution and M. pulcherrima suspension presented an additive effect, increasing the efficacy in controlling the disease and maintaining the storage quality of mango fruits. Taken together, our data suggest that the integration of chemical treatments combined with M. pulcherrima could be an alternative to the use of fungicides in postharvest treatment of the mango fruit, specifically for improving storage quality as well as the control of the anthracnose.

关键词： mango fruit Metschnikowia pulcherrima Colletotrichum gloeosporioides storage quality enzyme activity

Preventive Regulation of Jelly Seed Disorder in ‘Amrapali' mango (Mangifera indica) by Preharvest Spray

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Horticultural Plant Journal 2019年第2期5卷 70-78页

作者： Shivashankar Seshadri Sumathi Manoharan Hari Shankar Singh Division of Plant Physiology and Biochemistry ICAR-Indian Institute of Horticultural ResearchHesaraghatta Lake PO ICAR-National Centre for Integrated Pest Management Pusa Campus

Jelly seed, a physiological disorder in ‘Amrapali' mango fruit, is characterized by the excessive softening of pulp around the stone in ripe fruits. The disorder is caused by the onset of germination associated events in the seed of developing fruit due to decreased level of very-longchain fatty acids(VLCFAs) in seed. Field trials involving preharvest application of spray formulations on developing fruits, between 50% and 60%maturity, showed that formulation V(10 g·L^(-1) NaCl, 25 g·L^(-1) CaCl_2, 0.5 g·L^(-1) KCl, 0.01 g·L^(-1) H_3 BO_3, 0.01 g·L^(-1) Cu SO_4, 0.01 g·L^(-1) Zn SO_4,0.01 g·L^(-1) FeSO_4, 0.01 g·L^(-1) MnSO_4, and 0.002 g·L^(-1) EDTA) was the most effective in preventing the jelly seed disorder. Further studies to understand the mode of action of the formulation in controlling jelly seed development, revealed increased synthesis of VLCFAs in seed followed by the rapid production of ABA and germination-inhibiting phenolic acids, besides increased accumulation of calcium in seed. These factors acting in unison delayed seed germination and decreased the activities of pectinolytic enzymes in pulp to produce healthy fruits, free from jelly seed *** was an increase of mineral nutrient content in pulp of treated healthy fruits. Thus, the study helped to develop a remedy to prevent jelly seed besides revealing the biochemical mechanism by which formulation V acted to produce ‘Amrapali' mango fruits free of jelly seed with improved nutritional quality.

关键词： Amrapali mango jelly seed physiological disorder prevention preharvest treatment

Determination of surface color of‘all yellow’mango cultivars using computer vision

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International Journal of Agricultural and Biological Engineering 2016年第1期9卷 42-50页

作者： Marcus Nagle Kiatkamjon Intani Giuseppe Romano Busarakorn Mahayothee Vicha Sardsud Joachim Müller Institute of Agricultural Engineering Tropics and Subtropics GroupUniversität HohenheimGarbenstrasse 9Stuttgart70599Germany Department of Food Technology Faculty of Engineering and Industrial TechnologySilpakorn UniversityNakhon Pathom73000Thailand School of Agro-Industry Mae Fah Luang UniversityChiang Rai57100 Thailand

Image processing techniques are increasingly applied in sorting applications of agricultural *** work has assessed the use of image processing for inspecting surface color of two Thai mango cultivars.A computer vision system(CVS)was developed and experiments were conducted to monitor peel color change during the ripening *** of RGB to CIE-LAB values was done via image processing and prediction models were developed to estimate color parameters from CVS *** evaluations showed insufficient prediction for L values(R2=0.42-0.58),but better results for A and B values(R2=0.90-0.95 and 0.80-0.82,respectively).Compared to the calculated color values hue angle and chroma,a yellowness index computed from intermediate XYZ values was found to be much more adept at accurately predicting peel color from CVS *** were strong for both cultivars(R2=0.93 for‘Nam Dokmai’and R2=0.95 for‘Maha Chanok’).Results from classification analysis indicated satisfactory results for classifying fruits according to ripeness based on *** rates of true positives in the categories unripe,ripe and overripe ranged 72%-92%for‘Nam Dokmai’and 98%-100%for‘Maha Chanok’.Therefore,it was shown that the CVS was capable of producing accurate color values for the two mango cultivars *** findings of this study can be incorporated for development of a robust system for quality prediction and establishment of a CVS for automatic grading and sorting of mangos.

关键词： mango peel color computer vision image processing fruit quality Thailand

mango Malformation: I. Toxin Production Associated with Fusarium Pathogens

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American Journal of Plant Sciences 2011年第2期2卷 276-281页

作者： Wafaa Haggag M. Hazza M. Sehab A. Abd El-Wahab M. Department of Plant Pathology National Research Center Science Faculty Botany Department Banha University

Eight Fusarium species i.e. F. subglutinans, F. solani, F. oxyspoum, F. sterilihyphosum, F. proliferatum, F. monili-forme, F. avena and F. chlamydspore isolated from mango malformed disease were tested for their ability to cause mango malformation disease and their production of moniliformin and total fumonisins (FB1 + FB2) using HPLC. A evaluated for moniliformin production, seven isolates were toxin producers, the production levels ranging from 0.51 to 8.90 μg/ml. The higher levels were produced by Fusarium subglutinans (8.51 μg/ml). Moderate concentrations of moniliformin was produced by *** (6.90 μg/ml), F. oxysporum (6.30 μg/ml), F. proliferatum (4.10 μg/ml) and F. sterilihyphosum (1.10 μg/ml). Separation and identification of Fumonisin that was isolated from the pathogen- causing disease are made by (HPLC). A evaluated for total fumonisin production (FB1 + FB2), seven isolates were toxin producers, the production levels ranging from 0.10 to 8.30 μg/ml. The higher levels were produced by F. monili-forme (8.30 μg/ml. Moderate concentrations of fumonisin was produced by F .proliferatum (0.64 μg/ml) and F. subglutinans (0.50 μg/ml). Strong positive correlations between moniliformin and total fumonisins (FB1 + FB2) activities and malformation disease incidence by F. subglutinans, F. solani, F. oxyspoum, F. sterilihyphosum, F. proliferatum was observed.

关键词： Fusarium mango Malformation Moniliformin And Fumonisins

mango Diseases Classification Solutions Using Machine Learning or Deep Learning: A Review

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Journal of Computer and Communications 2022年第12期10卷 16-28页

作者： Demba Faye Idy Diop Doudou Dione Cheikh Anta DIOP University of Dakar Dakar Senegal

The mango crop suffers from several diseases that reduce both the production and the quality of the mangoes. This also reduces its price on the international market. Diagnosis of these diseases remains difficult in many countries due to poverty and lack of infrastructure. Plant pathologists use several techniques to identify these diseases. But these techniques are time consuming and relatively expensive for mango growers and the solutions proposed are often not very accurate and sometimes biased. In the last decade, researchers have proposed several solutions in the field of automatic diagnosis of mango diseases. Such solutions are based on Machine Learning (ML) and Deep Learning (DL) algorithms. In this paper, we divided these solutions into two groups: solutions based on classical ML algorithms, and those based on DL. In recent years, DL, especially Convolutional Neural Network (CNN) has become the most widely used method by researchers because of its impressive performance. The critical analysis of the proposed solutions has allowed us to identify their limits and potential challenges in mango disease automatic diagnosis.

关键词： mango Diseases Diagnosis Image Processing Machine Learning Deep Learning

mango malformation: II. mangiferin changes associated with <i>fusarium</i>pathogens

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Agricultural Sciences 2011年第3期2卷 291-296页

作者： Wafaa M. Haggag Mahmoud Hazza Mohamed E. Abd El-Wahab Department of Plant Pathology National Research Center Dokki Cairo Egypt Department of Plant Pathology National Research Center Dokki Cairo Egypt Science Faculty Botany Department Banha University Egypt

Mangiferin (1,3,6,7-tetrahydroxy xanthone-C2-b-D-glucoside) promoted vegetative growth and exhibited inhibitory role on the occurrence of malformation. Mangiferin changes associated with mango malformation pathogens were followed after inoculated mango seedlings (three years) with malformation pathogens i.e. Fusa-rium subglutinans, F. sterilihyphosum, F. oxysporum and F. proliferatum. Mangiferin remained at lower level in leaves of malformed shoots as compared to healthy one. The floral malformation was observed to be associated with the reduction of mangiferin. Strong positive correlations between mangiferin activity and malformation incidence were observed. Mangiferin level at panicle initiation may give a possible estimate of malformation incidence in mango.

关键词： Fusarium Mangiferin mango Malformation

Genetic Diversity Analysis and Fingerprint Construction of Major mango Cultivars in China

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Agricultural Science & Technology 2016年第6期17卷 1289-1294页

作者：王明应东山王琴飞李莉萍张如莲中国热带农业科学院热带作物品种资源研究所/农业部热带作物品种资源利用重点开放实验室海南儋州571737

[Objective] The genetic diversity of major mango cultivars in China was analyzed by using SSR markers, and their fingerprints were constructed so as to provide theoretical basis for germplasm innovation and breeding of mango. [Method] With 115 pairs of SSR primers, genetic diversity analysis and cluster analysis were performed for 30 mango cultivars, among which the genetic relationships were analyzed. [Result] Total 64 pairs of polymorphic primers were screened out from the 115 pairs of primers, and total 343 bands were amplified from the 30 cultivars with 73.2% of polymorphic bands. On average, 3.9 allelic loci were detected for each pair of primers with genetic diversity index of 0.5, Shannon＇s diversity index of 1.00 and polymorphism information content of 0.49, indicating higher genetic diversity. The cluster analysis showed that the 30 major cultivars could be classified into four categories. The first category included 14 cultivars; the second category included 11 cultivars, most of which were introduced from abroad; the third category included 4 cultivars, Le., Miansan, Parayinda, Baiyu and Hongxiangya： the fourth category included only one cultivar *** using 7 pairs of SSR markers, i.e., M42, M49, M54, M55, M96, M99 and M103, digital fingerprints were constructed for the 30 mango cultivars. [Conclusion] The 30 mango cultivars present more complex genomic genetics and abundant genetic information, and they have higher genetic diversity.

关键词： mango Major cultivar SSR marker Cluster analysis Fingerprint