Applications In Industry Research Articles

Metal-organic framework-enabled biomass conversion technologies for microalgae bio-refinery in the food industry.

Biomass is a valuable renewable energy adapted as an alternative to traditional fossil fuels. Apart from fuels, biomass is synthesized into highly valuable products that are used in various forms including biofuels, biochemical, bioproducts, packing material, and find practice in pharmaceutical, cosmetics, and nutraceuticals industries. Particularly, microalgae a third-generation feedstock known for its rich carbon content possesses protein lipids and carbohydrates produces a variety of green products such as bioethanol, biohydrogen, biodiesel, and biomethane, and also fixes carbon emission to a certain amount in the atmosphere. However, microalgae conversion in the presence of a catalyst such as a metal-organic framework (MOF) yields high-quality valuable products. A MOF is a porous crystalline material where the structure and pore size can be controlled making it suitable for catalytic reactions and appropriate conversion paths. This review briefly explains the prevailing status of microalgae as a sustainable biomass and features its components for microalgae biorefinery into valuable products and its application in the food industry. MOF properties, characteristics and various MOF-based conversion technologies for biomass conversion with its application are elaborated. In addition, usage of value products produced from microalgae biorefinery in the food industry and its importance is elucidated. In addition, the challenges in integrating biorefinery processes with food industry operations and their solutions are also presented. © 2024 Society of Chemical Industry.

Advances and Challenges in Random Access Techniques for In Vitro DNA Data Storage.

With digital transformation and the general application of new technologies, data storage is facing new challenges with the demand for high-density loading of massive information. In response, DNA storage technology has emerged as a promising research direction. Efficient and reliable data retrieval is critical for DNA storage, and the development of random access technology plays a key role in its practicality and reliability. However, achieving fast and accurate random access functions has proven difficult for existing DNA storage efforts, which limits its practical applications in industry. In this review, we summarize the recent advances in DNA storage technology that enable random access functionality, as well as the challenges that need to be overcome and the current solutions. This review aims to help researchers in the field of DNA storage better understand the importance of the random access step and its impact on the overall development of DNA storage. Furthermore, the remaining challenges and future research trends in random access technology of DNA storage are discussed, with the goal of providing a solid foundation for achieving random access in DNA storage under large-scale data conditions.

Significantly enhanced critical current density and pinning force in nanostructured, (RE)BCO-based, coated conductor

High-temperature superconducting wires have many large-scale, niche applications such as commercial nuclear fusion as well as numerous other large-scale applications in the electric power industry and in the defense, medical and transportation industries. However, the price/performance metric of these coated conductor wires is not yet favorable to enable and realize most large-scale applications. Here we report on probing the limits of Jc (H, T) possible via defect engineering in heteroepitaxially deposited high-temperature superconducting thin-films on coated conductor substrates used for long-length wire fabrication. We report record values of Jc (H, T) and pinning force, Fp (H, T) in (RE)BCO films with self-assembled BaZrO3 nanocolumns deposited on a coated conductor substrate. A Jc of ~190 MA/cm2 at 4.2 K, self-field and ~90 MA/cm2, at 4.2 K, 7 T was measured. At 20 K, Jc of over 150 MA/cm2 at self-field and over 60 MA/cm2 at 7 T was observed. A very high pinning force, Fp, of ~6.4 TN/m3 and ~4.2 TN/m3 were observed at 7 T, 4.2 K and 7 T, 20 K respectively. We report on the highest values of Jc and Fp obtained to date for all fields and operating temperatures from 4.2 K to 77 K. These results demonstrate that significant performance enhancements and hence far more favorable price/performance metrics are possible in commercial high-temperature superconducting wires.

High Yield Synthesis of Cellulose Nanocrystals From Avicel by Mechano‐Enzymatic Approach

AbstractCellulose nanocrystals are an important class of bio‐based crystalline nanostructures, finding application in several technological fields, including paper and textile coating, biocomposite engineering, biocatalysts immobilization, etc. This study explores enzymatic hydrolysis of Avicel, using endoglucanase from Aspergillus niger, to find an environmentally friendly method to extract cellulose nanocrystals from cellulose sources. Enzymatic hydrolysis has the advantage of reduced energy consumption and higher environmental friendliness compared to acid hydrolysis. In this work, we report for the first time very high nanocrystals yield by combining mechanical pretreatment of the cellulose starting material with a ball miller and endoglucanase hydrolysis, as a result of an extensive optimization of reaction conditions. In particular, a ball milling pretreatment carried out for 50 minutes at 3 Hz, allowed to isolate enzymatic CNCs with 76 % yield and with crystallinity as high as 75 %. The materials were characterized by X‐Ray diffractometry, attenuated total reflectance Fourier transform infrared (ATR‐FTIR) spectroscopy, dynamic light scattering, zeta potential and field emission scanning electron microscopy (FE‐SEM). Their characteristics were compared with the properties of sulfated CNCs, prepared from Avicel by sulfuric acid hydrolysis. Our results are technologically relevant, as they contribute to the accessibility and sustainability of CNCs for a wide range of applications in various industries.

Monoterpenoid synergy: a new frontier in biological applications.

Monoterpenoids, compounds found in various organisms, have diverse applications in various industries. Their effectiveness is influenced by the oil's chemical composition, which in turn is influenced by plant genotype, environmental conditions, cultivation practices, and plant development stage. They are used in various industries due to their distinctive odor and taste, serving as ingredients, additives, insecticides, and repellents. These compounds have synergistic properties, resulting in superior combined effects over discrete ones, potentially beneficial for various health purposes. Many experimental studies have investigated their interactions with other ingredients and their antibacterial, insecticidal, antifungal, anticancer, anti-inflammatory, and antioxidant properties. This review discusses potential synergistic interactions between monoterpenoids and other compounds, their sources, and biological functions. It also emphasizes the urgent need for more research on their bioavailability and toxicity, underlining the importance and relevance of this comprehensive study in the current scientific landscape.

Genome and Compound Analysis of Sioxanthin-Producing Marine Actinobacterium Micromonospora sp. nov. Strain SH-82 Isolated from Sponge Scopalina hapalia.

Pigments and other secondary metabolites originating from marine microbes have been a promising natural colorants and drugs for multifaceted applications. However, marine actinobacteria producing such natural molecules are least investigated in terms of their taxonomy, chemical diversity and applications in biomedical, textile, and food industries. In this study, sioxanthin pigment-producing Gram-positive actinobacteria, Micromonospora sp. strain SH-82 was isolated from a marine sponge, Scopalina hapalia, and its whole genome was analyzed. Strain SH-82is a prolific producer of diverse chemical molecules as it produced more compounds on A1 medium with different culture conditions. The genome size of SH-82 is 6.24Mb (6,246,890bp) carrying 23 identified biosynthetic gene clusters. A total of 5415 CDS, 60 tRNA, 9 rRNA, and 1 tmRNA are identified from SH-82 genome. The GC content (%) of whole genome was 71.6%. Strain SH-82 harbors genes encoding type I, type II, and type III polyketide synthases. Based on the multi-locus sequence analysis and fatty acid methyl ester (FAME) composition, strain SH-82 is confirmed as a novel species. The genetic information of Micromonospora sp. SH-82 has been deposited to NCBI under the BioProject ID PRJNA1087320, with corresponding identifiers in the Sequence Read Archive (SRA) as SAMN40439676 and the Genome accession as CP148049.

Analysis of the Impact of Cooling Lubricants on the Tensile Properties of FDM 3D Printed PLA and PLA+CF Materials

This study investigates the impact of infill density on the mechanical properties of fused deposition modeling (FDM) 3D-printed polylactic acid (PLA) and PLA reinforced with carbon fiber (PLA+CF) specimens, which hold industrial significance due to their applications in industries where mechanical robustness and durability are critical. Exposure to cooling lubricants is particularly relevant for environments where these materials are frequently subjected to cooling fluids, such as manufacturing plants and machine shops. This research aims to explore insights into the mechanical robustness and durability of these materials under realistic operating conditions, including prolonged exposure to cooling lubricants. Tensile tests were performed on PLA and PLA+CF specimens printed with varying infill densities (40%, 60%, 80%, and 100%). The specimens underwent tensile testing before and after exposure to cooling lubricants for 7 and 30 days, respectively. Mechanical properties such as tensile strength, maximum force, strain, and Young’s modulus were measured to evaluate the effects of infill density and lubricant exposure. Higher infill densities significantly increased tensile strength and maximum force for both PLA and PLA+CF specimens. PLA specimens showed an increase in tensile strength from 22.49 MPa at 40% infill density to 45.00 MPa at 100% infill density, representing a 100.09% enhancement. PLA+CF specimens exhibited an increase from 23.09 MPa to 42.54 MPa, marking an 84.27% improvement. After 30 days of lubricant exposure, the tensile strength of PLA specimens decreased by 15.56%, while PLA+CF specimens experienced an 18.60% reduction. Strain values exhibited minor fluctuations, indicating stable elasticity, and Young’s modulus improved significantly with higher infill densities, suggesting enhanced material stiffness. Increasing the infill density of FDM 3D-printed PLA and PLA+CF specimens significantly enhance their mechanical properties, even under prolonged exposure to cooling lubricants. These findings have significant implications for industrial applications, indicating that optimizing infill density can enhance the durability and performance of 3D-printed components. This study offers a robust foundation for further research and practical applications, highlighting the critical role of infill density in enhancing structural integrity and load-bearing capacity.

Current Review: Alginate in the Food Applications

Due to global development and increased public awareness of food’s effects on health, demands for innovative and healthy products have risen. Biodegradable and environmentally friendly polymer usage in modern food products is a promising approach to reduce the negative health and environmental effects of synthetic chemicals. Also, desirable features such as flavor, texture, shelf-life, storage condition, water holding capacity, a decrease in water activity, and an oil absorption of fried food have been improved by many polysaccharides. One of the important polymers, which is applied in the food industry, is alginate. Alginates are a safe and widely used compound in various industries, especially the food industry, which has led to innovative methods for for the improvement of this industry. Currently, different applications of alginate in stable emulsions and nano-capsules in food applications are due to the crosslinking properties of alginate with divalent cations, such as calcium ions, which have been studied recently. The main aim of this review is to take a closer look at alginate properties and applications in the food industry.

Structural engineering of metal-organic framework catalysts for efficient conversion of glucose into 5-HydroxyMethylFurfural

The research on sustainable and efficient routes to produce valuable chemicals from renewable biomass has garnered considerable attention in recent years. Among these chemicals, 5-hydroxymethylfurfural (5-HMF) holds significant promise as a versatile platform molecule for various applications in the chemical industry. This study investigates the production of 5-HMF from glucose using zirconium-based metal-organic frameworks (Zr-MOFs) as environmentally friendly catalysts, an alternative to the traditional homogeneous catalysts. UiO-66 and its functionalized derivatives (e.g. UiO-66(NH2),UiO-66(COOH)2, and UiO-66(OH)2) were synthesized to study the effect of the functional groups on the dehydration reaction. The synthesized MOFs were fully characterized using powder X-ray diffraction (PXRD), thermogravimetric analysis (TGA), N2 adsorption-desorption, Infrared spectroscopy (IR), Pyridine-Fourier Transform Infrared spectroscopy (Py-FTIR), and scanning electron microscopy (SEM). The catalytic performance of the synthesized MOFswas evaluated for the dehydration of glucose to 5-HMF in DMSO and further optimized in other monophasic and biphasic systems. Results indicated that UiO-66(COOH)2 exhibited exceptional catalytic activity for the conversion of glucose to HMF, with a significantly higher HMF yield of 44 % compared to other reported MOF catalysts and to that of H2SO4, which yielded 35 % at a temperature of 140 °C and a 6 h reaction time. This is mainly attributed to the effect of the bifunctional active acid sites of the metal nodes and the functional group of the organic linker (free carboxylic groups), which acted as the main source of Lewis and Brønsted acid sites respectively, compared to UiO-66. Additionally, the results suggested that the catalyst with higher acid density, higher relative mesopority, and a moderate B/L ratio could enhance glucose dehydration regardless of the surface area. Furthermore, the catalyst demonstrated excellent reusability and stability, with a decrease of only 10 % after four reaction cycles. The recycled catalyst revealed no structural alterations in its framework. This study contributes to the growing body of research on Zr-based MOF as a stable and efficient catalyst for glucose valorization to produce 5-HMF under mild reaction conditions.

Protective Effects of an Octapeptide Identified from Riceberry™ (Oryza sativa) Protein Hydrolysate on Oxidative and Endoplasmic Reticulum (ER) Stress in L929 Cells

Reactive oxygen species (ROS) play a critical role in oxidative stress and cellular damage, underscoring the importance of identifying potent antioxidants. This research focuses on the antioxidant capabilities of Riceberry™-derived peptides and their protective effects against oxidative and endoplasmic reticulum (ER) stress in L929 cells. By simulating human digestion, Riceberry™ protein hydrolysate was generated, from which antioxidant peptides were isolated using OFFGEL electrophoresis and LC-MS/MS. Notably, an octapeptide (VPAGVAHW) from the hydrolysate demonstrated significant antioxidant activity, particularly against oxidative stress induced by iodoacetic acid (IAA) or hydrogen peroxide (H2O2) and ER stress caused by tunicamycin (TM) in L929 cells. This peptide’s effectiveness was evident in its dose-dependent ability to enhance cell viability and mitigate stress effects, although its efficiency varied with the stress inducer. Our study suggests that Riceberry™-derived peptides could serve as a promising natural antioxidant with potential benefits for health promotion and applications in the food industry, offering an environmentally friendly alternative to synthetic antioxidants.

Modulation of pea protein isolate hydrogels by adding kappa‐carrageenan: gelling properties and formation mechanism

SummaryOur study focuses on the gelling properties of pea protein (PP), which are comparatively weaker than those of other plant proteins, thereby limiting its application. However, we found that the addition of κ‐carrageenan (κ‐CAR) significantly (P < 0.05) increased PP gels' hardness and water‐holding capacity irrespective of gel formation temperature (80 or 95 °C). Rheological and microstructural analysis confirmed a synergistic effect between PP and κ‐CAR, with higher synergy values observed in hydrogels formulated at 95 °C. Molecular force studies revealed that non‐covalent interactions were dominant, with disulphide bonds contributing only to the structure of gels formed at 95 °C. These promising findings not only enhance our understanding of the PP and κ‐CAR gel formation mechanism but also hold practical implications, potentially leading to improved gelling properties of PP and expanding its applications in the food industry.

Characterization of the Metabolites of Neonicotinoid Insecticide Imidaclothiz in Mice.

As a member of the neonicotinoid group, imidaclothiz has garnered increasing attention due to its possible health risks. This study investigated the metabolism and distribution of imidaclothiz in mice. Seven imidaclothiz metabolites were found, four of which are known, and three are unknown. The metabolic reactions observed were hydroxylation, nitrate ester hydrolysis, methylation, urea formation, and reduction to NO. Precise quantification revealed that after 2 h of oral administration, imidaclothiz rapidly dispersed into various organs and tissues, peaking at 4 h, and was then swiftly eliminated. No propensity for accumulation in the body, particularly in the liver, was observed. Toxicity data from the T.E.S.T prediction indicated that imidaclothiz had moderate toxicity to rats, and a majority of its metabolites were more toxic than the parent compound. These findings complement the existing knowledge of the imidaclothiz environmental fate in mammals and offer a reference point for its application in agriculture and industry.

A critical investigation into identifying key focus areas for the implementation of blockchain applications in the mining industry

Digital information and data are crucial drivers of progress in various industries, including mining, where data-driven decision making optimizes resource extraction, enhances safety, and ensures sustainability. The adoption of digital technologies like artificial intelligence (AI) and the Internet of Things has amplified the importance of digital information. However, the integrity and security of this information are paramount, leading to the exploration of blockchain technology as a potential solution for secure digital value exchange in mining. This research examines blockchain's capabilities, drawing insights from its applications in sectors like banking, government, healthcare, and entertainment, and evaluates their relevance to mining's core value chain processes. The study identifies blockchain's distributed ledger technology, cryptographic security, and decentralization as unique advantages that can revolutionize mining by enhancing transaction speed, reducing costs, and improving supply chain transparency and compliance with sustainability standards. Blockchain's transparent and auditable records can enhance business transparency, fostering trust among stakeholders, including investors and regulatory bodies. The technology's consensus mechanisms and smart contracts further promote trust in collaborative ventures. This research provides a foundational understanding for decision-makers in the mining industry to evaluate blockchain's feasibility and potential return on investment, guiding strategic planning and resource allocation for blockchain applications. By leveraging blockchain, mining companies can optimize operations, improve sustainability practices, and establish a robust foundation for future growth, positioning blockchain as a transformative technology in the sector.

Characterization and subcellular localization of selenium in Limosilactobacillus fermentum Ln-9 obtained by intense pulsed light-ultraviolet combined mutagenesis

Lactic acid bacteria (LAB) can convert inorganic selenium (Se) to organic Se and elemental forms with low toxicity and high bioavailability, but a comprehensive Se analysis of Se-enriched LAB is lacking. In this study, Limosilactobacillus fermentum Ln-9 was obtained by intense pulsed light-ultraviolet combined mutagenesis, and its characteristics and subcellular localization of Se were analyzed. The results displayed that Ln-9 accumulated 3.03 times Se that of the original strain. Under optimal fermentation conditions, the total Se content of Se-enriched Ln-9 (SeLn-9) reached 12.16 mg/g with 96.34% contained in Se nanoparticles (SeNPs), which was much higher than that of organic macromolecules. Furthermore, SeNPs were mainly localized outside the cell, Se-proteins were in the membrane and cytoplasmic fractions, and Se-polysaccharides were in the membrane fraction. Besides, SeLn-9 maintained a good morphology and gastrointestinal tolerance and had an enhanced antioxidant capacity. These findings make Ln-9 promising for applications in the food industry.

Evolutionary Probability and Stacked Regressions Enable Data-Driven Protein Engineering with Minimized Experimental Effort.

Protein engineering through directed evolution and (semi)rational approaches is routinely applied to optimize protein properties for a broad range of applications in industry and academia. The multitude of possible variants, combined with limited screening throughput, hampers efficient protein engineering. Data-driven strategies have emerged as a powerful tool to model the protein fitness landscape that can be explored in silico, significantly accelerating protein engineering campaigns. However, such methods require a certain amount of data, which often cannot be provided, to generate a reliable model of the fitness landscape. Here, we introduce MERGE, a method that combines direct coupling analysis (DCA) and machine learning (ML). MERGE enables data-driven protein engineering when only limited data are available for training, typically ranging from 50 to 500 labeled sequences. Our method demonstrates remarkable performance in predicting a protein's fitness value and rank based on its sequence across diverse proteins and properties. Notably, MERGE outperforms state-of-the-art methods when only small data sets are available for modeling, requiring fewer computational resources, and proving particularly promising for protein engineers who have access to limited amounts of data.

Engineering a versatile yeast platform for sesquiterpene production from glucose or methanol.

Natural sesquiterpene are valuable compounds with diverse applications in industries, such as cosmetics and energy. Microbial synthesis offers a promising way for sesquiterpene production. Methanol, can be synthesized from CO2 and solar energy, serves as a sustainable carbon source. However, it is still a challenge to utilize methanol for the synthesis of value-added compounds. Pichia pastoris (syn. Komagataella phaffii), known for its efficient utilization of glucose and methanol, has been widely used in protein synthesis. With advancements in technology, P. pastoris is gradually engineered for chemicals production. Here, we successfully achieved the synthesis of α-bisabolene in P. pastoris with dual carbon sources by expressing the α-bisabolene synthase gene under constitutive promoters. We systematically analyzed the effects of different steps in the mevalonate (MVA) pathway when methanol or glucose was used as the carbon source. Our finding revealed that the sesquiterpene synthase module significantly increased the production when methanol was used. While the metabolic modules MK and PMK greatly improved carbon source utilization, cell growth, and titer when glucose was used. Additionally, we demonstrated the synthesis of β-farnesene from dual carbon source by replacing the α-bisabolene synthase with a β-farnesene synthase. This study establishes a platform strain that is capable to synthesize sesquiterpene from different carbon sources in P. pastoris. Moreover, it paves the way for the development of P. pastoris as a high-efficiency microbial cell factory for producing various chemicals, and lays foundation for large-scale synthesis of high value-added chemicals efficiently from methanol in P. pastoris.

A reality-augmented adaptive physics informed machine learning method for efficient heat transfer prediction in laser melting

Physics informed neural network (PINN) method is proposed to alleviate problems in many science and engineering scenarios when data-collection is difficult, or traditional numerical calculations are lack of convenience because more time-consuming numerical calculations are required whenever one or more parameters of the process is changed. However, for advanced manufacturing processes like laser melting (LM), a basis of laser metal additive manufacturing, involve many complex physical phenomena (e.g. melting, convection, solidification, vaporization and interface evolution), the full equations of which are too complex to be solved by current PINN. This paper proposes a reality-augmented adaptive physics informed machine learning (RAA-PIML) method to meet the objectives of precise and fast predictive LM. It applies adaptive function, integrating heat transfer law and boundary condition equations to loss function, which has fast convergence and strong physics-based constraints. The reality-augmented data are acquired by few experiments and an accurate 3D heat transfer model covering turbulence. The conducted experimental results demonstrate that the developed solution exhibits higher efficiency than simulation, and superior performance than state-of-the-art methods, which shows outstanding potential in industry applications.

Electrical conductivity of multifunctional cementitious composites reinforced by graphene derivatives: A finite element-based computational micromechanics model

Graphene derivatives (GDs) are known for their considerable conductivity and electron mobility, making them promising candidates for developing electrically conductive cementitious composites (CCs). Consequently, CCs reinforced with GDs (CRGDs) can serve a variety of applications in the construction industry. Despite several experimental studies on the conductivity of CRGDs, finite element (FE) models have rarely been developed to investigate the conductivity of CRGDs. Previous FE models primarily focused on one-dimensional fillers like carbon nanotubes within polymeric matrices, overlooking the distinctive anisotropic behaviour of GDs in cementitious matrices.This study introduces a computational micromechanics model (CMM), integrating the representative elementary volume (REV) concept with FE analysis, to investigate the electrical conductivity of CRGDs. This model is particularly noted for its computational efficiency, as it converts the problem dimensions from 3D to 2D while ensuring an acceptable degree of accuracy. The CMM captures the anisotropic conductivity of GDs and includes critical conductivity mechanisms such as conductive pathways, the tunnelling effect, and field emission.Subsequently, REV size sensitivity analysis is performed to ensure the statistical relevance of the REV, followed by the model's validation against experimental data from the literature. Afterwards, the model's sensitivity analysis clarifies how different parameters, including the constituent properties, influence prediction results. The sensitivity analysis results suggest that the aspect ratio of GDs has considerable impacts on the electrical conductivity and the percolation threshold of CRGDs. Ultimately, this study aims to provide insights into the optimization and design of electrically conductive CRGDs and lay the foundation for future research in this area.

Genome characterization of Leuconostoc pseudomesenteroides UTNElla29 isolated from Morus nigra (L.) fruits: A promising exopolysaccharides producing strain

Lactic acid bacteria produce various natural polysaccharides that are secreted into the cellular matrix and bonded to the cell surface or released into the surrounding environment. Due to their broad applications in the food industry, the search for novel polysaccharide producer strains remains of interest. In this study, we report the genome sequencing and characterization of Leuconostoc pseudomesenteroides strain UTNElla29 isolated from Morus nigra (L.) fruits. Using in silico different “genome mining” tools we prospect their genetic potential. The genome size was estimated at 2,272,560 bp and a GC content of 39.26%. Of the total proteins, 2170 matched in the EggNOG database. The key genes related to amino acid biosynthesis, carbohydrate metabolism, exopolysaccharide (EPS) production, were annotated. The genome harbors one intact prophage, one CRISPR array, and two putative gene sequences associated with CAS3 Type I, and no plasmids indicating its stability. Moreover, no acquired resistance genes, virulence and pathogenic factors, nor biogenic amines were predicted, suggesting its safety. In vitro preliminary studies showed that EPS yield from 0.4 to 10.2 (g/L) dry biomass and the production varied with the inoculum size and sugar type MRS containing medium. Furthermore, several polyketides and terpenes were predicted, indicating the possibility of generating a wide range of naturally compounds with broad biological functions. However, these promising results suggest that Ella29 is a beneficial strain to be further exploited in vitro for various technological use.

A ratiometric fluorescent probe for selective detection of hypochlorite (ClO−) and gallium (III) (Ga3+) ions in environmental and food samples

Hypochlorite (ClO−) and gallium (Ⅲ) ions (Ga3+) have extensive applications in various human industries and daily activities. However, their inherent toxicity poses significant risks to environmental preservation and human well-being. Hence, the development of reliable and handy detection tools for ClO− and Ga3+ in the environment and food is crucial. In this study, a ratiometric fluorescent probe was prepared based on benzothiazolaldehyde and pyridine-2-carboxylic acid hydrazide, which exhibited exceptional performance characteristics for the selective detection of ClO− and Ga3+. These features include high specificity, low detection limits (0.28 μM for ClO−, 0.13 μM for Ga3+), mild pH conditions (pH 4–11 for ClO−, pH 6–11 for Ga3+), fast response time (within 30 s), as well as versatile applicability across different matrices such as water, soil, food, and plant samples. Additionally, this probe can be used with a smartphone color recognition app. The probe offers a convenient and effective tool for the detection of ClO− and Ga3+, demonstrating its potential application value in environmental monitoring and food safety.