Molecular Calculations Research Articles

Responses to Herbal Compounds in Brain Cancer Cells: two Cell-Calcium Assays and a Molecular Docking Computation Study

Herbal plant secondary metabolites such as curcumin, resveratrol, and capsaicin are becoming increasingly popular as natural remedies. These herbal compounds are also known to act on the calcium signaling pathways, and therefore cell calcium assays can be used to study the relative interactions of these compounds with cellular receptors pertaining to natural remedies. To investigate this, Fluo-4, a fluorophore that specifically binds to Ca2+, was used to detect the increase in calcium signaling in human glioblastoma cells treated with curcumin, resveratrol, and capsaicin. The human cells used are U87 MG cells which expresses TRPV1, a pain receptor on the cell membrane. The increases of the fluorescence intensity in the cells treated with the three herbal compounds were measured using a bulk microplate assay, which generates data in a high throughput, and a microfluidic single-cell assay, which allows for the observation of the cell calcium changes in real-time. It was found that all three compounds would increase the intracellular Ca2+ concentrations on the two assays, with curcumin generating the highest increase, which confirms the greatest responses elicited by this herbal compound from the cell. Furthermore, the data obtained by a molecular docking computation study, which has been used to determine the binding affinities of the three compounds with the TRPV1 receptor, corroborate with the experimental finding of the highest cellular response due to curcumin.

Elucidating the protective mechanism of ganoderic acid DM on breast cancer based on network pharmacology and in vitro experimental validation.

Ganoderma lucidum, a popular medicinal fungus, has been utilized to treat a variety of diseases. It possesses a unique therapeutic and pharmacological reputation in suppressing cancer/tumor progression, especially breast cancer, due to its embedded rich bioactive chemical constituents, mainly triterpenoids (ganoderic acids). The most prevalent malignant tumor in women with a high mortality and morbidity rate is breast cancer. Ganoderic acids A, D, DM, F, and H are evidenced in previous research to have breast cancer-preventive properties by exhibiting autophagic and apoptosis, anti-proliferative, and anti-angiogenesis effects. However, the anti-breast cancer mechanism remains unclear. The putative targets of the ganoderic acids were further determined using bioinformatics techniques and molecular docking calculation. Finally, the key targets were verified in vitro. A total of 53 potential target proteins associated with 202 pathways were predicted to be related to breast cancer. The potential targets were narrowed down to six key targets (AKT1, PIK3CA, epidermal growth factor receptor [EGFR], STAT1, ESR1, and CTNNB1), using different algorithms of the CytoHubba plugin, which were further validated using molecular docking analysis. The ganoderic acid DM (GADM) and the targets (PIK3CA and EGFR) with the strongest interactions were validated via MDA-MB-231 and MCF7 cells. The expression level of PIK3CA in both MDA-MB-231 and MCF7 cells was dose-dependently suppressed by GADM, whereas EGFR expression was unexpectedly increased, which warrants further investigation. These data indicated that the network pharmacology-based prediction of GADM targets for treating human breast cancer could be reliable.

Electrochemical Sensing of Phenylalanine using Polyaniline-Based Molecularly Imprinted Polymers.

Polyaniline (PANI)-based molecularly imprinted polymers were investigated for their efficacy in sensing phenylalanine (Phe) when fabricated on both glassy carbon electrode (GCE) and indium tin oxide (ITO) sheets. This study highlights the superior performance of PANI-MIP/ITO over PANI-MIP/GCE for sensing Phe, with clear and distinct redox responses. Molecular computation helps to understand the interaction mechanism between PANI and Phe, where molecular crowding, aggregated clusters, hydrogen bonding, and π-π stacking facilitate stable interactions. We tested the specificity of Phe sensing by PANI-MIP with different amino acids such as cysteine, tryptophan, and tyrosine as well as organic molecules such as ascorbic acid, allantoin, sucrose, and urea, confirming its remarkable electrochemical efficiency. The oxidation response curve yielded a limit of detection of 4.88 μM and a limit of quantification of 16.3 μM, comparable to or better than earlier reported sensors. This work demonstrates the promise of MIP-based electrochemical sensing. It also lays the groundwork for future investigations into optimizing PANI-MIPs with nanocomposites to develop more selective and stable sensors.

Design, Synthesis, Biological Evaluation and Molecular Docking Studies of a New Series of Maleimide Derivatives.

A series of novel maleimide derivatives were synthesized, with various heterocyclic compounds serving as side chains in the synthesis process. The structural characteristics of these compounds were elucidated through the application of 1H-NMR spectroscopy, 13C-NMR (APT) spectroscopy, and high-resolution mass spectrometry (HRMS). The anti-cancer potential of these compounds was subsequently assessed in vitro, utilizing two distinct breast cancer cell lines, namely MDA-MB-231 and MCF-7, via MTT assay. Among the 12 newly synthesized compounds, 4 a, 4 b, 4 c, 4 d, 5 a, 5 b, 5 c and 5 d were determined to show the most promising anti-cancer activity against both breast cancer cell lines. Moreover, the morphological changes induced in the cells following a 24-hour incubation period with these compounds were observed using light microscopy. Additionally, molecular dynamics simulations were conducted to assess the stability of the bound conformations of the compounds to the target protein GSK-3β as obtained through molecular docking calculations.

Identification and screening of potential anti-pneumonia active ingredients and targets of Qing-Kai-Ling oral liquid via UHPLC-Q-Exactive Orbitrap mass spectrometry based on data post-processing

Qing-Kai-Ling oral liquid is commonly used clinically for the treatment of fever and upper respiratory tract infection. Moreover, studies have shown that Qing-Kai-Ling oral liquid has an anti-pneumonia effect. However, owing to its complex pharmacodynamic material basis, its pharmacological research and clinical application are limited. To address this problem, the chemical constituents of Qing-Kai-Ling oral liquid were identified by ultra-high performance liquid chromatography quadrupole-Exactive Orbitrap mass (UHPLC-Q-Exactive Orbitrap MS) and network pharmacology methods, which were used to predict its potential anti-pneumonia target and signalling pathway. A total of 150 compounds were identified and tentatively characterized, including 35 amino acids and their derivatives, 36 organic acids, 20 terpenoids, 20 alkaloids, 12 glycosides, 7 flavonoids, and 20 others. Among them, 14 compounds were accurately identified by comparing their retention time and mass spectrum data with those of reference substances. Additionally, we performed molecular simulation calculations via Density Function Theory to determine the plausibility of the compound cleavage reactions and further confirm compound structures. Furthermore, 90 key targets were screened through network pharmacology, with the particular focus on the PI3K-AKT, MAPK and TNF signalling pathways. This method achieved the first comprehensive identification of the chemical composition of Qing-Kai-Ling oral liquid and elucidated its potential mechanism of anti-pneumonia. The results provide valuable reference and data support for pharmacodynamic substance research and quality control.

Theoretical insights into the diverse stabilizing effects of fenchyl alcohol/thymol eutectic solvent on carotenoids

Carotenoids, a class of vital natural pigments, are known for their antioxidant properties and are integral to various industrial applications. However, their instability during processing and storage has limited their broader utilization. This study investigated the stabilizing effects of a fenchyl alcohol/thymol-based deep eutectic solvent (DES) on a spectrum of carotenoids, including lutein, zeaxanthin, astaxanthin, and β-carotene. Through a combination of ab initio molecular dynamics (AIMD) simulations and quantum chemical calculations, we elucidated the molecular interactions and stabilization mechanisms within the DES environment (methanol as the benchmark). Our findings reveal that the DES could exert varying degrees of influence on the stability of different types of carotenoids. The temperature-dependent behavior of carotenoids in the DES suggested a complex interplay between hydrogen bonding, dispersion forces, and the inherent structural properties of carotenoids. AIMD simulations provided a detailed picture of the structural organization and hydrogen bond network topology within the DES, highlighting the role of temperature on the stability and orientation of solvent molecules around carotenoids. Energy decomposition analysis (EDA), Hirshfeld surface analysis, and visual study of interactions further dissected the non-covalent interactions, emphasizing the significance of electrostatic and dispersion forces-driven non-covalent interactions (van der Waals dispersion interactions) in stabilizing carotenoids within the DES matrix. In comparison to methanol, the interactions between components of the eutectic system and the target molecules demonstrate enhanced dynamism, increased complementarity, and a greater variety of interaction patterns. This research presented a novel perspective on the use of DESs for the stabilization of carotenoids, offering potential solutions to enhance their industrial applicability and performance. The insights gained from this study are crucial for the development of sustainable and eco-friendly solvent systems, aligning with the growing demand for green chemistry in the pharmaceutical, cosmetic, and food industries.

Screening of DNMT3A inhibitors from phytochemicals using molecular docking and molecular dynamics simulation for their anti-cancer potential

ABSTRACT There is a consensus that epigenomic changes play a significant role in carcinogenesis. The effect of DNA methylation and its increased modulations on gene expression during carcinogenesis is significant for diagnostic and therapeutic purposes. Potential phytochemicals as anticancer approach modulators of epigenetic pathways are the focus of this investigation. Molecular docking studies were conducted to foretell how phytochemicals will interact with DNMT3A. As part of our effort to identify novel anti-cancer treatments, we examined a wide variety of phytochemicals from many chemical classes, including cannabinoids, carotenoids, chalcones, fatty acids, lignans, polysaccharides, saponins, steroids, and tannins. The docking scores for Dihydromyricetin are -10.207 kcal/mol, -9.313 kcal/mol for S-Adenosyl-L-methionine (SAM), and -8.757 kcal/mol for Zeylenol were determined to be superior than to phytochemical inhibitors against DNMT3A in the virtual screening method. Docking scores, hydrogen bond interactions, ADME characteristics, and DFT. Molecular Dynamics Simulation and free energy calculations demonstrated that these compounds bind stably to DNMT3A, potentially inhibiting its activity. Network Pharmacology suggested Dihydromyricetin's specific anticancer potential against cervical cancer. These findings provide insights into protein-Ligand interactions with Dnmt3A and highlights the need for In-vitro validation.

Theoretical and experimental investigation on newly synthesized pyrazolopyridine derivatives: Insight into the compound activity, NLO response, and molecular dynamics

Pyrazolopyridine derivatives exhibiting biological activity are widely present in drug molecules. The title compound, ethyl 3-amino-6-methyl-4-(thiophen-2-yl)-1H-pyrazolo[3,4-b]pyridine-5-carboxylate (II), was designed and synthesized and the structure characterized by spectroscopic techniques and confirmed by single-crystal X-ray diffraction. The pyrazolopyridine moiety is not quite planar and the thiophene and ester groups are rotated well out of the mean plane of the pyridine ring. N—H···N and C—H···O hydrogen bonds plus π-stacking interactions form thick layers of molecules parallel to (001). Based on structural activity relationship studies, II exhibits potent activity against fibroblast collagenase-1 complexed to a diphenyl-ether sulphone-based hydroxamic acid or Matrix Metalloproteinase (MMP-1). Theoretical simulations were performed to probe the reactivity and electronic properties of II where the quantum theory of atoms in molecules and NBO analysis was used to describe the bonding nature and charge transfer excitation. The optical and nonlinear characteristics of II are also evidenced by its hyperpolarizability response. The kinetic and thermodynamic stability of II was monitored through a computed ab-initio molecular dynamics study. In addition, a Hirshfeld surface analysis was performed to assess the intermolecular interactions. Efficient binding of II in the MMP-1 complex system has been achieved through classical molecular dynamics and molecular docking calculations. An ADMET analysis was also carried out to explore the potential future drug candidacy of II.

Aqueous extract of CAP-ash: A greener benchmark for Suzuki-Miyaura coupling reaction in palladium catalyzed ligand-free condition

Synthesis, molecular, spectroscopic properties, and electronic structure calculations of biphenyls derivatives have been achieved using a highly efficient catalytic amount of Pd(OAc)2 in aqueous extract of custard apple peels (CAP)-ash (AECAP) a green, highly cost-effective, operationally convenient and environmentally benign media at ambient temperature. The analytical reports showed the presence of metal oxides which are probably extracted in water produces corresponding hydroxides, which provide alkaline media in water which shows dual performance (solvent and base) for said cross-coupling transformation. The catalytic system is generated in situ based on aqueous extract and Pd(OAc)2 which requires no external base and ligand. Moreover, the study also offers insights into the frontier molecular orbitals (FMO), electronegativity, chemical potential, global electrophilicity index, ionization potential, electron affinity, chemical hardness, and softness properties of the synthesized biphenyl derivatives for understanding their stability, active sites, and biological activity using density functional theory (DFT) at the B3LYP/6–311G(d,p) level/basis.

Sequence-Unconstrained DNA Computing: DSN cycling and PER circuitry for dynamic miRNAs analysis and multifunctional logic operations

DNA strand displacement and enzyme-driven catalysis are pivotal in regulating molecular interactions and constructing molecular logic circuits. However, their application in intricate hierarchical cascading networks has been hindered by sequence crosstalk restrictions on the multiple inputs and outputs. In this study, we present a sequence-unconstrained strategy to implement versatile molecular logic circuits, relying on duplex-specific nuclease (DSN)-assisted cycling and primer exchange reaction (PER) amplification circuitry (DSN-PER). Employing linear capture probe (CP) conjugated with magnetic beads (MBs) significantly minimizes crosstalk reactions compared to the previous molecular beacon probe (MBP) for DNA barcoding. Importantly, the sequence design of “barcodes” is fully independent of target binding sites on MBs, allowing for the sensitive detection of a broad range of microRNAs (miRNAs) using the DSN-PER method. Specifically, this platform supports the programming of common logic computations (YES, NOT, OR, INHIBIT, AND, and NOR) and hierarchical circuit operation (OR-AND) in response to a specific pattern of varying miRNAs. These versatile logic circuits offer unique features with flexible sequence design, potentially broadening the applications of dynamic nucleic acid nanotechnologies in multiplexed bio-computation, intelligent diagnostics, and sophisticated DNA nanodevices.

Using a dual immunoinformatics and bioinformatics approach to design a novel and effective multi-epitope vaccine against human torovirus disease

Human Torovirus (HToV), a member of the Coronaviridae family, causes severe enteric diseases with no specific medication available. To develop novel preventative measures, we employed immunoinformatics techniques to design a multi-epitope-based subunit vaccine (HToV-MEV) triggering diverse immune responses. We selected non-allergenic, non-toxic, and antigenic epitopes from structural polyproteins, joined them with suitable linkers, and added an adjuvant 50S ribosomal L7/L12 peptide. The vaccine's solubility score of 0.903678 and physiochemical properties were found effective. Molecular dynamics simulations and free energy calculations revealed strong binding affinity for Toll-like receptor 3 (TLR-3), with a lowest energy score of −303.88, indicating high affinity. In-silico cloning and codon optimization showed significant production potential in E. coli. Immune simulations predicted a human immunological response. Our results are promising, but subsequent in vivo research is recommended. The HToV-MEV vaccine design demonstrates potential for preventing HToV-related diseases, and further investigation is warranted to explore its therapeutic applications.

Bacteriophage λ exonuclease and a 5'-phosphorylated DNA guide allow PAM-independent targeting of double-stranded nucleic acids.

Sequence-specific recognition of double-stranded nucleic acids is essential for molecular diagnostics and in situ imaging. Clustered regularly interspaced short palindromic repeats and Cas systems rely on protospacer-adjacent motif (PAM)-dependent double-stranded DNA (dsDNA) recognition, limiting the range of targetable sequences and leading to undesired off-target effects. Using single-molecule fluorescence resonance energy transfer analysis, we discover the enzymatic activity of bacteriophage λ exonuclease (λExo). We show binding of 5'-phosphorylated single-stranded DNA (pDNA) to complementary regions on dsDNA and DNA-RNA duplexes, without the need for a PAM-like motif. Upon binding, the λExo-pDNA system catalytically digests the pDNA into nucleotides in the presence of Mg2+. This process is sensitive to mismatches within a wide range of the pDNA-binding region, resulting in exceptional sequence specificity and reduced off-target effects in various applications. The absence of a requirement for a specific motif such as a PAM sequence greatly broadens the range of targets. We demonstrate that the λExo-pDNA system is a versatile tool for molecular diagnostics, DNA computing and gene imaging applications.

In vitro and in silico therapeutic properties of Artepillin C and Aromadendrin as collagenase and elastase inhibitors and investigation of anti-Ovarian cancer effects and antioxidant potential

In this investigation, the enzymes collagenase and elastase were inhibited by artepillin.C and aromadendrin molecules with excellent to good IC50 values of 16.65, and 0.79 μM for artepillin.C and 7.31, 19.38, and 10.56 μM for aromadendrin. Using the molecular modeling study, the chemical activity of these compounds against the enzymes, collagenase, and elastase were evaluated. The anti-cancer properties of the compounds were evaluated using the following cell lines: NIH: OVCAR-3, ES-2, UACC-1598, Hs 832(C).T [Hs832.Tc], TOV-21G, UWB1.289. The DPPH (1,1-diphenyl-2-pricrylhydrazyl) free radical scavenging assay was used to measure antioxidant activity, and the spectrophotometric method was used in this work. The chemical activities of artepillin.C and aromadendrin against collagenase and elastase were investigated utilizing the molecular docking study. The anti-cancer activities of the compounds were evaluated against NIH: OVCAR-3, ES-2, UACC-1598, Hs 832(C).T [Hs832.Tc], TOV-21G, UWB1.289 cell lines. Also, some cell lines had best results for aromadendrin like NIH: OVCAR-3, ES-2, UACC-1598, Hs 832(C).T [Hs832.Tc], TOV-21G, UWB1.289 (10.54 ± 0.94, 22.11 ± 2.52, 31.85 ± 4.73, 8.14 ± 1.52, 17.94 ± 1.88, and 24.31 ± 2.64 μM). The chemical activities of artepillin.C and aromadendrin against some of the expressed surface receptor proteins (folate receptor, CD44, EGFR, Formyl Peptide Receptor–Like 1, M2 muscarinic receptor, and estrogen receptors) in the mentioned cell lines were assessed using the molecular docking calculations. The outcomes provided information on potential interactions and their atomic-level properties. According to the docking scores, the compounds show a high affinity for binding to proteins and enzymes. Furthermore, these substances made good contact with the receptors and enzymes. As a result, these substances may have the ability to suppress cancer cells and enzymes.

Marine natural compounds as potential CBP bromodomain inhibitors for treating cancer: an in-silico approach using molecular docking, ADMET, molecular dynamics simulations and MM-PBSA binding free energy calculations.

The online version contains supplementary material available at 10.1007/s40203-024-00258-5.

Path-Independent All-Visible Orthogonal Photoswitching for Applications in Multi-Photochromic Polymers and Molecular Computing.

Synthetic molecular photoswitches have taken center stage as high-precision tools to introduce light-responsiveness at the smallest scales. Today they are found in all areas of applied chemistry, covering materials research, chemical biology, catalysis, or nanotechnology. For a next step of applicability truly orthogonal photoswitching is highly desirable but to date such independent addressability of different photoswitches remains to be highly challenging. In this work we present the first example of all-visible, all-light responsive, and path independent orthogonal photoswitching. By combining two recently developed indigoid photoswitches -peri-anthracenethioindigo and a rhodanine-based chromophore - a four-state system is established and each state can be accessed in high yields completely independently and also with visible light irradiation only. The four states give rise to four different colors, which can be transferred to a solid polymer matrix yielding a versatile multi-state photochromic material. Further, combination with a fluorescent dye as third component is possible, demonstrating applicability of this orthogonal photoswitching system in all-photonic molecular logic behavior and information processing.

Spin Dynamics of Radical Pairs Using the Stochastic Schrödinger Equation in MolSpin.

The chemical reactivity of radical pairs is strongly influenced by the interactions of electronic and nuclear spins. A detailed understanding of these effects requires a quantum description of the spin dynamics that considers spin-dependent reaction rates, interactions with external magnetic fields, spin-spin interactions, and the loss of spin coherence caused by coupling to a fluctuating environment. Modeling real chemical and biochemical systems, which frequently involve radicals with multinuclear spin systems, poses a severe computational challenge. Here, we implement a method based on the stochastic Schrödinger equation in the software package MolSpin. Large electron-nuclear spin systems can be simulated efficiently, with asymmetric spin-selective recombination reactions, anisotropic hyperfine interactions, and nonzero exchange and dipolar couplings. Spin-relaxation can be modeled using the stochastic time-dependence of spin interactions determined by molecular dynamics and quantum chemical calculations or by allowing rate coefficients to be explicitly time-dependent. The flexibility afforded by this approach opens new avenues for exploring the effects of complex molecular motions on the spin dynamics of chemical transformations.

The photophysical, photobiological, and light-up calf-thymus-DNA sensor activity of Pd(II) and Pt(II) polypyridyl derivatives coordinated to vinyl-pyridyl corroles

A series of mono-cationic corroles containing bipyridyl derivatives coordinated with Pd(II) and Pt(II) polypyridyl complexes is reported here. These corroles were characterized by microanalysis, UV–Vis absorption, steady-state and time-resolved fluorescence emission, theoretical DFT calculations, and electrochemical techniques. Photobiological parameters, such as photostability and ROS production, were also assessed. Spectroscopic and viscometry studies, along with molecular docking calculations, revealed each corrole derivative's ability to interact with the minor grooves of calf-thymus DNA. Additionally, the potential of these derivatives to act as emissive optical sensors for CT-DNA was evaluated.

Striving for clarity in language about gene expression.

What do we mean when we say 'gene expression'? In the decades following Crick's 1958 central dogma of molecular biology, whereby genetic information flows from DNA (genes) to RNA (transcripts) to protein (products), we have learned a great deal about DNA, RNA, proteins, and the ensuing phenotypic changes. With the advent of high-throughput technologies (1990s), molecular biologists and computer scientists forged critical collaborations to understand the vast amount of data being generated, rapidly escalating gene expression research to the 'omics' level: entire sets of genes (genomes), transcribed RNAs (transcriptomes), and synthesized proteins (proteomes). However, some concessions came to be made for molecular biologists and computer scientists to understand each other-one of the most prevalent being the increasingly widespread use of 'gene' to mean 'RNAs originating from a DNA segment'. This loosening of terminology, we will argue, creates ambiguity and confusion. We propose guidelines to increase precision and clarity when communicating about gene expression, most notably to reserve 'gene' for the DNA template and 'transcript' for the RNA transcribed from that gene. Striving to use perspicuous terminology will promote rigorous gene expression science and accelerate discovery in this highly promising area of biology.

Influence of imidazole-based ionic liquid surfactants on the wetting effect of long-flame coals

In order to study the wetting effect of C12MImBF4, C12MImBr and C12MImCl on long-flame coal, and their mechanism of action on coal-water bonding, physical experiments, molecular dynamics simulation and DFT theoretical calculation were combined in this work. It is confirmed that the imidazole ionic liquid surfactant optimizes the wetting effect by forming hydrogen bonds, reducing the surface tension of water, and increasing the number of free hydroxyl groups in coal. After the wettability test, the concentration of 4 g/L of the three ionic liquid surfactants had the best wetting effect on long-flame coal, and the contact angle at this concentration was reduced by more than 40 % compared with water within 0.2 s after dripping on the coal. Due to the difference in the anionic head group of the three surfactants, there are differences in the number and strength of hydrogen bonds formed between the three surfactants and water molecules, the results of wettability C12MImBF4 > C12MImCl > C12MImBr were presented. Combined with these characteristics of imidazole ionic liquids on long-flame coal, the reasonable application in the wet dust removal process of actual coal mine production can optimize the efficiency of droplet capture of coal particles, so as to effectively improve the dust removal capacity.

Extraction and detection of sulfonamide antibiotics in milk using magnetic solid-phase adsorbent based on molecular mechanics and DFT calculations

Based on the foundation of calculations in molecular mechanics and density functional theory (DFT) for in-depth mechanistic studies, this paper proposes the sample multi-residue analysis method of five common sulfonamide antibiotics (SAs) in milk. Fe3O4 nanoparticles modified magnetic graphene oxide nanoribbons (Mag-GONRs) with superior dispersibility and dispersion stability, were developed and firstly utilized to rapidly extract residual SAs from milk. Therefore, various SAs in complex samples could be simultaneously determined solely by high performance liquid chromatography-ultraviolet detector (HPLC-UV) without the need for complicated pretreatment processes. In order to obtain satisfactory extraction efficiency, indispensable investigation and optimization were conducted on some parameters influencing the extraction efficiency. And the extracted SAs were determined by. Good linearity for all analytes was achieved with appropriate correlation coefficients (R2 higher than 0.9978). The limits of detection ranged from 0.060 to 0.075 ng·mL−1. Recoveries of the sulfonamides in spiked milk samples were between 79.6 % and 114.6 %, with relative standard deviations within 12 %. Interestingly, with the assistant of computational chemistry, the efficient extraction of Mag-GONRs onto SAs has been validated at the molecular and quantum levels, further elucidating the adsorption mechanism based on non-covalent interactions. In the context of theoretical research and experimental results mutually supporting each other, a practical detection method with actual application value has been proposed in monitoring the residual sulfonamides in milk by the common devices.