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Effects of capping agent concentration and reaction time on antimicrobial activities of copper nanoparticles (CUNPs)

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Tiêu đề Effects of capping agent concentration and reaction time on antimicrobial activities of copper nanoparticles (CuNPs)
Tác giả Tran Thi Bao Chau, Dong Thao Duyen
Người hướng dẫn Trinh Khanh Son, Assoc. Prof.
Trường học Ho Chi Minh City University of Technology and Education
Chuyên ngành Food Technology
Thể loại Graduation project
Năm xuất bản 2022
Thành phố Ho Chi Minh City
Định dạng
Số trang 86
Dung lượng 9,16 MB

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Cấu trúc

  • Fig. 3. 1. Research diagram……………………………………………………………………...15

  • Fig. 4. 1. UV-vis spectra of CuNPs according to different starch concentrations (%w/v) at reaction times (A) t20, (B) t30…………………………………………………………………………….23

  • Chapter 1: INTRODUCTION

  • 1.1. Rationale

  • 1.2. Thesis objects

  • 1.3. Limits and scope of the study

  • 1.4. Research content

  • 1.5. The scientific and practical significance of the topic

  • 1.6. Layout of the report

  • Chapter 2: OVERVIEW

    • 2.1. Overview of nanotechnology

      • 2.1.1. The concept of nanotechnology

      • 2.1.2. Classification of nanomaterials

      • 2.1.3. Applications of nanotechnology in food

    • 2.2. Overview of copper nanoparticles

    • 2.3. Introduction to copper nanoparticles

      • 2.3.1. Methods for synthesizing copper nanoparticles

      • 2.3.2. Antibacterial mechanism of copper nanoparticles

    • 2.4. Capping agent

    • 2.5. Escherichia coli

    • 2.6. The fungus Colletotrichum gloeosporioides

  • Chapter 3: MATERIALS AND RESEARCH METHODS

    • 2.

    • 3.

    • 3.1. Materials

    • 3.2. Research methods

      • 3.2.1. Research diagram

      • 2.

      • 3.

      • 3.2.

      • 3.2.2. Synthesis method for CuNPs

      • 3.2.3. Characteristic measurement methods of CuNPs

        • 3.2.3.1. UV-VIS spectroscopy

      • 3.2.3.2. Energy-dispersive X-ray spectroscopy (EDS) analysis

        • 3.2.3.3. X-ray diffraction spectroscopy (XRD) analysis

    • nλ = 2dsinθ (3.1)

    • D = ,Kλ -(cosθ. (3.2)

      • 3.2.3.4. Scanning Electron Microscope (SEM) analysis

      • 3.2.3.5. Transmission electron microscopy (TEM) analysis

      • 3.2.3.6. Zeta potential (ZP) measurement

      • 3.2.4. Antimicrobial activity evaluation methods

        • 3.2.4.1. Method to determine the resistance to Escherichia coli

    • log reduced = log A1 – log A2 (3.3)

      • 3.2.4.2. Method for determining resistance to mold Colletotrichum gloeosporioides

    • % Inhibition of growth = ,R−r-R. ( 100 (3.4)

      • 3.2.5. Data analysis method

  • Chapter 4: RESULTS AND DISCUSSION

    • 3.

    • 4.

    • 4.1. Characterization of CuNPs

      • 4.1.1. Optical characteristics (UV – VIS)

      • 4.1.3. X-ray diffraction of CuNPs (XRD)

      • 4.1.4. SEM, TEM and DLS

      • 4.1.5. Zeta potential (ZP )

    • 4.2. Effect of capping agent (starch) concentration on antibacterial ability of nano solution

    • 4.3. The antifungal ability of CuNPs on Colletotrichum gloeosporioides strain

    • 4.4. In vivo

  • Chapter 5: CONCLUSIONS AND SUGGESTIONS

  • REFERENCES

  • APPENDIX

  • DATN A4 ENG.pdf (p.1)

  • SKL007276.pdf (p.2-163)

  • DATN A4 ENG.pdf (p.1)

  • SKL007276.pdf (p.2-163)

Nội dung

MINISTRY OF EDUCATION AND TRAINING HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY AND EDUCATION FACULTY FOR HIGH QUALITY TRAINING Ho Chi Minh City, August, 2022 SKL 0 0 9 1 5 7 SUPERVISOR:

INTRODUCTION

Rationale

Nanotechnology plays a crucial role in various fields, including electronics, energy, medicine, cosmetics, and particularly biomedicine, due to its ability to manipulate materials at the nanometer scale, where unique properties emerge While both chemical and physical methods for synthesizing nanomaterials have been extensively researched, these methods often incur high costs and involve toxic substances that pose risks to human health and the environment Consequently, there is a pressing need to explore and develop green biological methods for synthesizing nanoparticles.

Recent studies in nanotechnology have primarily focused on synthesizing gold and silver nanoparticles, while research on copper nanoparticles (CuNPs), particularly through green synthesis, remains limited CuNPs are gaining attention due to their low synthesis cost, ease of use, large-scale applicability, and notable antibacterial properties comparable to those of precious metals However, bare nanoparticles are thermoelectrically unstable in solutions and tend to aggregate, which diminishes their unique properties, prompting researchers to explore various coatings for nanoparticle synthesis For instance, one study successfully synthesized copper (I) oxide nanoparticles with a particle size of 222 ± 13 nm using glucose as a reducing agent and polyvinyl alcohol (PVA) for encapsulation, achieving significant antibacterial efficacy against E coli at a concentration of 160 ppm after one hour at pH 8.0 Additionally, recent findings have highlighted the antibacterial and antifungal activities of copper oxide/carbon (CuO/C) nanocomposites against a range of pathogens, including Pseudomonas aeruginosa, Escherichia coli, Klebsiella pneumoniae, Staphylococcus aureus, Candida albicans, and Aspergillus niger.

As science and technology advance, there is a growing focus on developing optimal preservation methods for agricultural products, particularly fruits, with biopolymer films, especially edible films, gaining prominence The superior antibacterial properties of copper nanoparticles (CuNPs) are crucial in addressing the rising threat of pathogenic bacteria to human and organismal health Consequently, researching and applying CuNPs has become a significant and urgent area of study This led us to explore the effects of capping agent concentration and reaction time on the antimicrobial activities of CuNPs.

Thesis objects

This study explores the synthesis of copper(I) oxide nanoparticles through chemical reduction, utilizing copper sulfate anhydrous as a precursor, D-Glucose as a reducing agent, and starch as a capping agent We investigate the impact of various factors on the antibacterial efficacy of copper nanoparticle solutions, including reaction time, starch concentration, and storage conditions The goal is to identify the optimal conditions for synthesizing nano copper with enhanced antibacterial properties.

Limits and scope of the study

CuNPs were synthesized using a chemical reduction method, employing copper sulfate anhydrous as the precursor and D-glucose as the reducing agent, with soluble starch as a capping agent We examined the effects of reaction time, encapsulation concentration, and storage conditions of the nano solution to determine the optimal synthesis formula and process for achieving the highest antibacterial activity The study focused on the bacteria Escherichia coli and the mold Colletotrichum gloeosporioides.

Research content

In this study, we conducted the following:

- Synthesis of copper(I) oxide nanofluids

- Investigate the effect of starch capping agent concentration on the antibacterial ability of copper(I) oxide nanofluids

- The effect of copper concentration on antimicrobial resistance was investigated

- Evaluation of the size, distribution, and morphology of copper nanoparticles by TEM, SEM, and Zeta potential.

The scientific and practical significance of the topic

Nanotechnology has significantly advanced various fields, particularly in biomedical, energy, environmental, information technology, and military applications Nano copper(I) oxide, known for its strong antibacterial properties, emerges as a promising material for food preservation The use of active films in preserving food products like meat, fish, and fruits extends their shelf life and reduces the growth of harmful microorganisms Comprehensive research provides valuable insights into the characteristics of copper nanoparticles (CuNPs), facilitating the application of nano coatings on fruits to enhance post-harvest preservation, ultimately benefiting the economy.

Layout of the report

The report consists of 5 chapters:

- Chapter 3: Materials and research methods

OVERVIEW

Overview of nanotechnology

The National Nanotechnology Initiative (NNI) defines nanotechnology as a field that operates at the nanoscale (1 to 100 nm), utilizing unique phenomena to enable advancements across various disciplines, including chemistry, physics, biology, medicine, engineering, and electronics This definition highlights two key aspects: the scale of manipulation at the nanometer level and the innovative properties of nanoscale materials that lead to the development of enhanced materials, devices, and systems By modifying matter at this scale, researchers can create materials with improved characteristics, such as increased surface area, higher vibration frequencies, and enhanced electrical and thermal conductivity These advancements result in stiffer, lighter, and more durable materials, as well as new optical, electrical, and magnetic properties Consequently, nanomaterials are poised to revolutionize the future applications of antibacterial technologies.

Nanomaterials are rapidly evolving, necessitating the continuous adaptation of grouping principles Current classification techniques focus on the intrinsic properties of nanomaterials and their physiological interactions within their life cycle context A proposed methodology, DF4nanoGrouping, categorizes nanoparticles into four distinct groups: (i) soluble nanoparticles; (ii) nanomaterials with high persistence; (iii) nanomaterials with negligible biological impact; and (iv) nanomaterials exhibiting specific hazardous surface characteristics This approach effectively integrates both inherent and system-dependent properties, along with the toxicological effects of nanomaterials.

Nanoparticles are categorized into organic, inorganic, and carbon groups at the nanometer scale, exhibiting enhanced physical, chemical, and biological properties compared to larger nanoparticles Additionally, nanomaterials can be classified based on their overall size and shape into four categories: zero-dimensional (0D), one-dimensional (1D), two-dimensional (2D), and three-dimensional (3D) nanomaterials.

0-D nanomaterials are three-dimensional structures that exist uniformly at the nanoscale, which restricts electron movement and enhances their dispersion and stability These unique properties make 0-D nanomaterials highly advantageous for various applications.

Zero-dimensional (0-D) nanomaterials, including nanoparticles and nanospheres, exhibit unique structural features and properties such as surface effects and small size effects Their high surface-to-unit volume ratio enhances ion adsorption, making them valuable in antimicrobial applications and energy storage Additionally, their stable structure is crucial for accommodating significant volume expansion, leading to their use in electrochemistry and microsensor research and production.

1-D nanomaterials, such as nanofibers, nanotubes, nanowires, and nanorods, are two-dimensional materials at the nanoscale that exhibit a larger surface area and unique properties, including thermal, electrical, mechanical, optical, and magnetic characteristics These properties lead to shorter ion and electron transport pathways, enhancing stress tolerance Consequently, 1-D materials show great potential for exceptional performance in energy storage and biological applications.

2-D nanomaterials possess a single spatial dimension at the nanoscale, addressing the limitations of 1-D nanoparticles, which often face challenges like limited surface area and load-carrying capacity These innovative materials are engineered to overcome the shortcomings associated with their one-dimensional counterparts.

2-D nanomaterials, characterized by their sheet-like structure, encompass films, nanocoatings, and nanosheets, and are extensively studied in electronics, optical electronics, and biomedicine due to their unique physicochemical and biological properties Their large surface area enhances ion adsorption, improving capacitance, while high conductivity and tunable interlayer distances facilitate electron transfer and ion overlap, leading to high agent loading capacity and biocompatibility, particularly in antimicrobial applications Additionally, the reflective surface area and electrochemical properties of 2-D platforms have advanced the field of nuclear medicine Consequently, 2D materials have become increasingly favored by researchers across various disciplines.

3-D nanomaterials, which include structures such as nanoballs, nanocoils, nanoclusters, nanocones, nanopillars, and nanoflowers, differ significantly from 0-D materials Additionally, 3-D-like nanoparticles can be synthesized by integrating 0-D, 1-D, and 2-D nanomaterials Notably, complex composite materials with advanced supramolecular structures, which do not fit into the categories of 0-D, 1-D, or 2-D, such as 3-D metal–organic frameworks and covalent organic frameworks, have demonstrated significant antibacterial properties.

2.1.3 Applications of nanotechnology in food

Nanomaterials, due to their distinct physical, chemical, and biological properties, are increasingly utilized to enhance the functionality of food products Their applications span various agricultural areas, including pesticides, fertilizers, vaccines, pathogen detection in plants and animals, and targeted genetic engineering In food processing, nanotechnology aids in flavor encapsulation, improves food texture and quality, and introduces new gelling agents Additionally, in food packaging, nanomaterials enable the development of pathogen sensors and create anti-toxic, UV-resistant, and waterproof solutions Furthermore, they enhance nutritional supplements, offering nutraceuticals with superior stability and bioavailability compared to their original forms.

Fig.2 2 Applications of nanotechnology in all areas of food science [21]

The use of nanocomposites and nanolaminates in food nanopackaging enhances packaging properties by modifying diffusion rates, creating barriers against water vapor, oxygen, carbon dioxide, and other volatile compounds Polymer materials, while typically impermeable, benefit from polymeric silicate nanocomposites that impede diffusion, prevent water vapor permeation, and increase heat resistance Natural nanoparticles, such as potato starch and calcium carbonate, improve material toughness and environmental sustainability Additionally, both organic and inorganic nanoparticles provide antimicrobial effects without compromising food quality, enhancing food safety by limiting microbial growth These antimicrobial materials can self-sterilize, reducing the risk of re-contamination and simplifying disposal management Nanotechnology also plays a crucial role in food microbiology, facilitating the development of biosensors for detecting diseases and toxins in food and processing environments.

G-liposomal protein nanovesicles have been utilized as a biosensor capable of detecting Escherichia coli and Salmonella typhi in food samples This innovative sensor highlights the potential of nano-products, including those with antimicrobial properties, recombinant DNA, and nanotubes, in healthcare and medicine These advancements contribute to the promotion of a healthy food culture and enhance the nutritional value of food.

Introduction to copper nanoparticles

Copper, represented by the symbol Cu and atomic number 29, is a ductile metal known for its excellent electrical and thermal conductivity With an atomic mass of 64 and a density of 8.94 g/cm³, copper has a melting point that highlights its unique properties in various applications.

1083 ºC and a boiling point of 2595 ºC Copper has two stable isotopes, Cu 63 and Cu 65 , accounting for 69,2% and 30,8%, respectively [25] Elemental copper exists naturally in the environment as

7 metallic copper in the non-valent state (Cu o ), ionic copper (Cu + or Cu 2+ ), or as nanoparticles (CuNPs) [26]

Copper is crucial for the metabolism of living organisms, playing a key role in various biological activities through copper-containing enzymes that assist in oxygen transport and iron balance It is found in the skin, bones, and several organs, making it vital for plant development and essential functions in the human body Copper regulates proteins, supports photosynthetic electron transport, mitochondrial respiration, and cell wall metabolism A deficiency in copper leads to curled leaves and downward-spiraling petioles, while excessive copper can result in toxicity, growth inhibition, photosynthetic disruption, and oxidative stress.

Nanocopper and nanocopper oxide are well-known for their effective antibacterial properties against various pathogens Compared to more expensive metals like silver, copper offers a cost-effective solution for producing copper nanoparticles (CuNPs) Additionally, the ability to oxidize and create copper oxide nanoparticles allows for easy mixing with polymers or macromolecules, ensuring both chemical and physical stability.

2.3.1 Methods for synthesizing copper nanoparticles

Bottom up and top down are the two main techniques for nano synthesis today These two techniques include three different synthesis methods: chemical, physical and biological [31]

The top-down approach in nano-generation utilizes physical effects like electric pulses, laser cutting, mechanical grinding, and solvent breakdown to reduce the size of materials Key synthesis techniques include evaporation-condensation and laser ablation, which have been extensively studied This method offers the advantage of producing uniformly distributed nanoparticles without solvent contamination However, it can be costly due to the need for expensive and energy-intensive equipment.

The Bottom-up technique, which includes chemical and biological methods, contrasts with the Top-down strategy for nanoparticle synthesis The chemical method is particularly advantageous for producing copper nanoparticles due to its simplicity, efficiency, and low equipment needs However, the use of hazardous compounds in the synthesis process poses significant health and environmental risks The choice of reducing agent plays a crucial role in determining the size and response time of the nanoparticles, with reduction reaction times varying from minutes to over 24 hours based on specific conditions By adjusting parameters such as reaction duration, pH, and material ratios, it is possible to control the size, growth, shape, and dispersion of the nanoparticles.

The biological method utilizes plant and animal substances as reducing agents, offering a cost-effective approach to nanoparticle production This environmentally friendly technique is simpler and more sustainable than traditional methods.

This study identifies the chemical reduction method as the optimal approach for producing copper nanoparticles (CuNPs), utilizing CuSO4 as the precursor and glucose as the reducing agent For enhanced sustainability and environmental considerations, starch has been selected as the capping agent.

8 friendliness We hope to synthesize copper nanoparticles with the best antibacterial activity with this method

Fig 2 3 Methods for synthesizing copper nanoparticles [31]

2.3.2 Antibacterial mechanism of copper nanoparticles

The antibacterial activity of copper nanoparticles (CuNPs) primarily arises from the generation of reactive oxygen species (ROS) The effectiveness of CuNPs is largely influenced by their size; particles ranging from 10 to 100 nm adhere to bacterial surfaces through electrostatic attraction, leading to the release of copper ions and ROS In contrast, smaller nanoparticles (less than 10 nm) or released metal ions can penetrate directly through the cell membrane Elevated levels of ROS result in various forms of cellular damage, compromising cell membrane stability and causing issues such as inhibited cellular respiration, lipid peroxidation, and the oxidation of essential biomolecules like proteins.

The interaction of copper nanoparticles (CuNPs) with bacterial cell membranes is hypothesized to reduce the transmembrane electrochemical potential, which in turn impacts membrane integrity.

Copper nanoparticles (CuNPs) and copper ions accumulate on bacterial cell surfaces, creating holes in the membrane that lead to the leakage of cellular components and oxidative stress, ultimately resulting in cell death Additionally, studies have shown that CuNPs interact with the -SH (sulfhydryl) group, causing damage to bacteria and enzymes/proteins Furthermore, reactive oxygen species (ROS) generated by CuNPs can bind directly to DNA, degrading its activity.

Fig 2 4 Schematic illustration of the antibacterial mechanism of CuNPs [39]

Capping agent

A capping agent serves as a crucial stabilizer in colloidal synthesis, effectively inhibiting the overgrowth of nanoparticles and preventing their aggregation Its functionality relies on the interaction between its polar head and the surrounding environment, while the non-polar tail attaches to the ion or metal molecule of the nanocrystal.

Fig 2 5 Nanoparticles are covalently bonded to the capping agent[40]

Capping agents are categorized into three primary subgroups based on their molecular chain structure: (i) those with an extended straight hydrocarbon chain that directly links to nanoparticles and is closely arranged, such as oleylamine, oleic acid, and cetyltrimethylammonium bromide; (ii) unbranched polymer chains that attach to the nano surface via functional groups on the polymer chain, creating a stable interface.

A 10-dimensional network encapsulates metal nanoparticles using materials such as poly(N-vinyl-2-pyrrolidone) and polyvinyl alcohol Additionally, a branched polymer capping, including poly(amido amine) and polyethylenimine, secures the metal nanoparticles within the gaps between the branches of the polymer chain.

Capping agents can be categorized based on the ligand that forms the bond at the polar end These categories include -N type agents such as hexadecylamine and octadecylamine, -O type agents like oleic acid and linolenic acid, -S type agents including 1-thioglycerol and thioglycolic acid, -P type agents such as triphenylphosphine, polymeric capping agents like polyethylene glycol, polyvinyl alcohol, and polyvinyl pyrrolidine, as well as polysaccharide capping agents including cellulose and starch.

Fig 2 6 Types of capping agents based on the structure of the molecular chain [42]

Polysaccharides are compounds that form biofilms, consisting of numerous monosaccharide units linked by glycosidic bonds Natural polysaccharides like cellulose, starch, heparin, chitosan, dextran, and glucose serve as effective stabilizers for nanoparticles.

Industrial-scale copper nanosynthesis utilizing polysaccharides as capping agents offers an eco-friendly and economical solution Polysaccharides are generally more stable than proteins and rarely experience irreversible denaturation, making them highly valuable in materials science Furthermore, the separation and recovery of polysaccharides are typically cost-effective.

Polysaccharides exhibit variability due to factors such as molecular composition, structural arrangement, asymmetry, hydroxyl group count, and solubility Selecting the appropriate production method is crucial, as it influences the physicochemical and biological properties of nanoparticles Various techniques exist for nanoparticle synthesis, including adjustments in response time, temperature, and ion-to-polysaccharide molar ratios Additionally, methods like microwave heating, electrosynthesis, microemulsions, and photoinduction can further enhance nanoparticle characteristics.

Starch is a highly effective and biocompatible material for producing nanoparticles, thanks to its hydroxyl groups (–OH) that interact with nanomaterial surfaces This property has facilitated the creation of various nanoparticles, including metals and metal oxides Research suggests that starch forms a significant network of hydrogen bonding, which contributes to a protective surface for nanoparticles Furthermore, using starch as a protective agent helps mitigate risks in hazardous environments.

Escherichia coli

Escherichia coli is a Gram-negative, rod-shaped bacterium that can be either aerobic or facultatively anaerobic, measuring between 2.0–6.0 mm in length and 1.1–1.5 mm in width Its structure can vary from spherical cells (cocci) to elongated rods or filaments E coli is commonly found in the digestive tracts of all food-producing animals and humans The bacterium's genetic flexibility and adaptability allow it to develop a wide range of antimicrobial resistance mechanisms in response to changing environments.

Up to 90% of E coli strains inhabit the digestive systems of warm-blooded humans and animals, typically maintaining a beneficial relationship with their hosts and rarely causing disease However, E coli is a leading cause of various bacterial infections in humans, including enteritis, urinary tract infections, sepsis, postoperative peritonitis, and newborn meningitis Globally, it is recognized as a significant human pathogen, responsible for severe infections alongside other major bacterial agents like Salmonella spp and Campylobacter Thus, the issue of antibiotic resistance in E coli, often perceived as a benign organism, is of critical importance.

E coli bacteria have the potential to thrive in both aerobic and anaerobic environments, with optimal growth occurring at 37°C E coli bacteria can grow at temperatures ranging from 7°C to 50°C Although the growth of E coli is best at a pH that is close to neutral, it is possible for growth to occur at a pH as low as 4.4 under other optimum circumstances and a medium that has a minimum water activity (Aw) for growth of 0,95 Because of its widespread presence in feces, ease of culture, typically non-pathogenic features, and ability to persist in water, E coli bacteria are often used as a contamination marker of feces, and the potential presence of enteric pathogens like

S typhi in the water Diarrheal strains are classified based on their virulence characteristics: enteropathogenic E coli (EPEC), enteroinvasive E coli (EIEC), enterotoxigenic E coli (ETEC) and enterohemorrhagic E.coli (EHEC) Symptoms and pathogenic mechanisms of E.coli are shown in Table 1.1

Table 2 1 The symptoms as well as the pathogenic mechanisms that are present in some E coli bacteria [48]

Species Symptom Type of diarrhea Pathogenic mechanisms

Causes frequent abdominal pain and diarrhea with discharge in infants

Cause dehydration Parasitic in the small intestine

Diarrhea with fever in all ages

With or without blood; cause dysentery

Parasitize and compete in the intestinal mucosa, causing inflammation of the large intestine

Diarrhea with discharge occurs in some less developed countries and can be transmitted by travelers

Cause dehydration Parasitic in the small intestine, the toxin produced can be stable or decomposed by heat

Hemorrhagic colitis and hemolytic uremic syndrome at any age

Produces shiga-like toxins, irritates the large intestine, causes blood clotting

The fungus Colletotrichum gloeosporioides

Colletotrichum gloeosporioides, a significant plant pathogen belonging to the Melanconiales order, is commonly found in tropical and subtropical regions worldwide Initially identified as Vermicularia gloeosporioides by Penzig, this pathogen plays a crucial role in plant disease dynamics.

The teleomorph stage of the fungus is known as Glomerella cingulata, while its asexual stage is referred to as C gloeosporioides Among the genus Colletotrichum, only the genomes of C graminicola and C higginsianum have been fully sequenced Research is ongoing on the genome of C gloeosporioides, with some genes related to disease and host defense systems already identified These pathogens thrive in temperatures ranging from 25 to 28°C and pH levels between 5.8 and 6.5 They enter a dormant state during dry seasons and resume their active life cycle when environmental conditions become favorable.

13 hemibiotrophic form of infection in which both the vegetative and necrotic stages take place in sequential order [49]

Fig 2 7 Anthracnose cycle in tropical fruit trees [50]

C gloeosporioides is the pathogen that causes anthracnose, which not only infects the fruit but also other plant organs such as the leaves, flowers, twigs, and branches of the plant It is responsible for considerable harm to various crops, including cereals, coffee, legumes, and tropical and subtropical fruits like avocados, bananas, and mangoes The spores generated in these infected tissues are subsequently released and distributed on rainy days owing to splashes of water or during a period of high humidity, thereby forming the predominant inoculum for fruit diseases in the pre- harvest stage The most apparent signs of anthracnose are deep lesions that are black or dark brown and contain masses of spores on the surface of the fruit that has been affected Many small lesions can join together to form a more extensive lesion When CO2 levels are high, there is an increase in fertility, which means more spores are generated per lesion This may make the illness more severe and cause it to spread more quickly [51] Lesions that are black or dark brown on the surface of the fruit drastically lower its market value [50]

14 Fig 2 8 Anthracnose symptoms on some tropical fruit trees (A) Guava, (B) dragon fruit,

MATERIALS AND RESEARCH METHODS

Materials…

The gram-negative Escherichia coli strain ATCC 8739 and the fungus Colletotrichum gloeosporioides was provided by the Center for Biotechnology in Ho Chi Minh City, Vietnam

Copper sulfate anhydrous (CuSO 4 5H 2 O, >99%, China), D - Glucose (C 6 H 12 O 6 H 2 O, China), Soluble starch ( (C6H10O5)n, China), Sodium hydroxide (NaOH, China), Peptone (China), Citric Acid Monohydrate (C6H8O7.H2O, China), Sodium Chloride (NaCl, China), Nutrient Borth (NB), HIMEDIA, India.

Research methods

Table 3 1 Coding convention for copper nanoparticles samples in research

Reaction time (minutes) Starch concentration (%) Sample coding

In this study, copper nanoparticles (CuNPs) were synthesized using a modified chemical reduction method with CuSO4.5H2O as the precursor and D-glucose as the reducing agent Two solutions were prepared: solution A contained 1.673 g of soluble starch and 9.9 g of glucose, while solution B contained 1.673 g of soluble starch and 1.25 g of CuSO4.5H2O Both solutions were heated to 95°C for 15 minutes with continuous magnetic stirring The pH of solutions A and B was then adjusted to 13-14 by adding NaOH and citric acid Solution B was rapidly added to solution A to facilitate the reduction of Cu²⁺ to CuO, and the mixture was maintained at 95°C for an additional 30 minutes Afterward, the reaction solution was cooled rapidly in water to room temperature and stored at 7-10°C for 24 hours in preparation for subsequent steps The synthesis process of CuNPs is illustrated in Fig 2.2.

The study maintained consistent parameters, including reaction temperature, glucose concentration, CuSO4 concentration, and the concentration and volume of NaOH and citric acid We focused on examining the effects of starch capping agent concentration and the reaction time on the copper nanoparticle solution.

3.2.3 Characteristic measurement methods of CuNPs

The spectrophotometric technique is extensively utilized for the qualitative analysis of nanoparticles, focusing on their concentration, size, and refractive index The UV–VIS spectroscopy method was conducted using a Hitachi S-4800 device in Ho Chi Minh City at the University of Technology and Education.

3.2.3.2 Energy-dispersive X-ray spectroscopy (EDS) analysis

Energy-dispersive X-ray spectroscopy (EDS) is a chemical analysis technique commonly performed using a scanning electron microscope (SEM) This method allows for qualitative, quantitative, and semi-quantitative analysis, providing insights into the distribution of elements through mapping EDS identifies the elemental composition of the examined volume at the microscopic or nanoscale by detecting X-rays emitted from the sample when exposed to an electron beam Researchers often employ EDS to analyze surface elemental components, assess their ratios under different conditions, and create comprehensive maps of the sample.

[54] In this thesis, the EDS measurement method is performed on Quantax 75 machine of Bruker (Germany) at Ho Chi Minh City University of Technology and Education

3.2.3.3 X-ray diffraction spectroscopy (XRD) analysis

This technique identifies the lattice structure by resolving molecules at the atomic level through constructive and destructive atomic interference within the crystal lattice The resulting diffraction pattern is influenced by the distance between atomic planes (d) and the angle of reflection (θ), leading to the Bragg equation: \$n\lambda = 2d\sin\theta\$ (3.1).

The X-ray diffraction (XRD) technique provides an average measurement of all crystal volumes, and the observed peak broadening can be attributed to the high quality of the crystal structure Consequently, the crystal size \( D \) can be determined using the Debye-Scherrer equation.

The full width at half maximum (FWHM) of the diffraction peak, denoted as $\beta$, is influenced by the angle of diffraction $\theta$, the X-ray wavelength $\lambda$, and a constant $K$, typically set at 0.9 Additionally, the size of the crystal, represented by $D$, plays a crucial role in this relationship.

X-ray diffraction spectroscopy was performed on a Bruker D8 Advance Eco with measuring angle (2θ) from 5 to 80, voltage 40kV, current 45mA; Anode: Cu, Cu-Kalpha radiation 1.5406 Å Collected data were analyzed using OriginPro 8.5.1

3.2.3.4 Scanning Electron Microscope (SEM) analysis

Scanning electron microscopy (SEM) is a widely used technique for analyzing the microstructure and morphology of materials It operates by scanning a sample's surface with a low-energy electron beam, leading to various interactions that emit photons and electrons from the sample's surface Depending on the SEM mode, different detectors capture the signals generated by these interactions, enabling image formation SEM can function in multiple modes for material characterization, including X-ray mapping, secondary electron imaging, backscattered electron imaging, electron channels, and Auger electron microscopy.

The size distribution of copper nanoparticles was assessed by randomly selecting 100 nanoparticles from SEM images and analyzing them using ImageJ software (version 1.49u) The average size was calculated, and a histogram was created to illustrate the distribution of the nanoparticles along with their respective sizes.

3.2.3.5 Transmission electron microscopy (TEM) analysis

Transmission electron microscopy (TEM) is a powerful technique used to obtain detailed information about the shape, crystal structure, and composition of biological materials at a higher resolution than scanning electron microscopy (SEM) In TEM, electrons are emitted from an electron gun within a vacuum chamber and are focused onto the specimen using electrostatic lenses The interaction between the electrons and the sample results in some electrons being scattered or absorbed, while others pass through the sample For effective imaging, the sample must be thin enough to allow a sufficient number of electrons to transmit through it.

The transmission electron microscope (TEM) produces high-resolution images at the nanometer scale, with resolutions below one nanometer achievable by using a short electron wavelength The intensity of the images is influenced by the sample density; denser samples allow fewer electrons to pass through, resulting in darker images However, TEM has drawbacks, including potential sample damage from the electron beam, low contrast in atomic materials, and the limitation of producing only two-dimensional images.

The size distribution of copper nanoparticles is analyzed by randomly selecting 80 nanoparticles from TEM images These images are processed using ImageJ software (version 1.49U) to calculate the average size and create a distribution chart of the nanoparticles based on their sizes.

Zeta potential measurement is a crucial analytical technique for evaluating the surface charge of nanoparticles in suspension It involves the formation of a Stern layer, where a charged particle attracts a thin layer of oppositely charged ions, leading to the creation of an electrical double layer The zeta potential (ZP) is determined by measuring the velocity of charged particles moving towards an electrode under an external electric field, with typical values ranging from +100 to -100 mV The stability of colloids can be predicted based on ZP, with values exceeding +25 mV or falling below -25 mV indicating high stability Conversely, lower ZP values can lead to aggregation due to van der Waals interparticle interactions, resulting in coagulation or flocculation.

Table 3 2 Zeta potential and the stability of the colloidal [55]

Zeta potential (mV) Stable properties of colloidal

From 0 to  5 Fast coagulation or flocculation

From  30 to  40 Maintaining a steady average

Zeta potential measurements were performed on a Zetasizer Pro from Malvern

Dynamic light scattering (DLS) is a widely utilized technique in the physicochemical characterization of metal nanoparticles, as it effectively determines both the particle size and their distribution This method specifically measures the hydrodynamic size of the nanoparticles, providing crucial insights into their properties.

This technique analyzes the fluctuation in scattering light intensity over a specific time range to study 20 particles It relies on the scattering of laser light as it passes through a colloidal solution.

RESULTS AND DISCUSSION

Characterization of CuNPs

UV-vis absorption spectroscopy is a key technique for characterizing metal nanoparticles, as the spectrum shape reveals important information about their morphology Factors such as metal size, dielectric constant, and stabilizer type significantly influence the peak position and spectrum shape The morphology of metal nanoparticles is affected by the reduction potential of reactants, stabilizers, temperature, pH, and reaction time In this study, glucose was selected as the reducing agent for synthesizing copper nanoparticles, with starch serving as a capping agent to stabilize the process and control nanoparticle morphology The characteristic absorption peak for Cu2O typically appears around 490 nm, while an absorption peak at 570 nm indicates the presence of Cu Additionally, CuO exhibits absorption peaks in the 200 – 350 nm range UV-vis spectra of copper nanocomposites at different starch concentrations show absorption peaks between 460 – 520 nm, confirming the presence of the desired product.

Fig 4 1 UV-vis spectra of CuNPs according to different starch concentrations (%w/v) at reaction times (A) t20, (B) t30

4.1.2 Energy-dispersive X-ray spectroscopy (EDS)

The EDS examination results indicate the purity levels of synthesized CuNPs, with a composition of 62% copper and 19.98% oxygen, as illustrated in Fig 4.2 The presence of carbon in the spectrum is attributed to the soluble starch used in the synthesis, while hydrogen is not detected due to its low mass Additional impurities, including calcium, silicon, and magnesium, are identified, likely originating from the glass substrate of the measuring device The EDS analysis involves an electron beam colliding with the sample atoms, resulting in backscattering that is detected and analyzed This method aligns with findings from a study by [66], which also reports high concentrations of copper and oxygen, despite the inclusion of biological extracts like Piper retrofractum.

Vahl), there is still element C As a result of this, the findings of the EDS demonstrate that

Cunps are synthesized in this investigation with a relatively high degree of purity and in the form of oxide or dioxide

Fig 4 2 EDS of CuNPs and composition of the elements of the CuNPs are measured from the EDS

4.1.3 X-ray diffraction of CuNPs (XRD)

XRD analysis confirmed the crystal structure and phase composition of the nanoparticles, revealing that all produced nano solution samples displayed distinct and sharp peaks at 2θ values corresponding to the crystal planes (110), (111), (200), and (311), indicative of Cu2O nanocrystal formation, as per JCPDS No 05-0667.

The XRD spectrum of copper nanoparticles, as per JCPDS No 04-0836, shows diffraction peaks at 22.4°, 31.15°, 43.31°, 50.40°, and 74.17° corresponding to the (111), (200), and (220) planes In contrast, the XRD spectrum of CuO nanoparticles, referenced in research [69], reveals peaks at 32.41°, 35.61°, 38.81°, 48.91°, 53.31°, 58.21°, and 66.31°, which are assigned to the (110), (111), (200), (-202), (020), (202), and (022) planes according to JCPDS No 45-0397 Importantly, the XRD spectrum from our study (Fig 4.3) did not show any additional peaks indicative of impurities like Cu and CuO, confirming the purity of the Cu2O synthesized under the experimental conditions.

Fig 4 3 XRD plot of samples t20 S1,15; t20 S2,29; t20 S3,06; t30 S0,76; t30 S1,91 and t30

Table 4 1 The average crystal size of nanoparticles

Samples Average crystal size (nm) t20 S1,15 7,92 ± 2,81 a t20 S2,29 7,50 ± 2,43 a t20 S3,06 8,12 ± 2,12 a t30 S0,76 8,65 ± 2,44 a t30 S1,91 9,30 ± 2,71 a t30 S2,67 9,07 ± 3,08 a

Note: Different lowercase letters in a column illustrate significant difference (p

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