Spectroscopy Experiments Research Articles

Student Autonomy and Choice in the Undergraduate Organic Chemistry Laboratory in an Intermediate Level Spectroscopic Techniques Experiment

Student Autonomy and Choice in the Undergraduate Organic Chemistry Laboratory in an Intermediate Level Spectroscopic Techniques Experiment

Influence of counterion substitution on the properties of imidazolium-based ionic liquid clusters.

Due to their unique physiochemical properties that may be tailored for specific purposes, ionic liquids (ILs) have been investigated for various applications, including chemical separations, catalysis, energy storage, and space propulsion. The different cations and anions comprising ILs may be selected to optimize a range of desired properties, such as thermal stability, ionic conductivity, and volatility, leading to the designation of certain ILs as designer "green" solvents. The effect of counterions on the properties of ILs is of both fundamental scientific interest and technological importance. Herein, we report a systematic experimental and theoretical investigation of the size, charge, stability toward dissociation, and geometric/electronic structure of 1-ethyl-3-methyl imidazolium (EMIM)-based IL clusters containing two different atomic counterions (i.e., bromide [Br-] and iodide [I-]). This work extends our studies of EMIM+ cations with atomic chloride (Cl-) and molecular tetrafluoroborate (BF4-) anions reported previously by Baxter et al. [Chem. Mater. 34, 2612 (2022)] and Zhang et al. [J. Phys. Chem. Lett. 11, 6844 (2020)], respectively. Distributions of anionic IL clusters were generated in the gas phase using electrospray ionization and characterized by high mass resolution mass spectrometry, energy-resolved collision-induced dissociation, and negative ion photoelectron spectroscopy experiments. The experimental results reveal anion-dependent trends in the size distribution, relative abundance, ionic charge state, stability toward dissociation, and electron binding energies of the IL clusters. Complementary global optimization theory provides molecular-level insights into the bonding and electronic structure of a selected subset of clusters, including their low energy structures and electrostatic potential maps, and how these fundamental characteristics are influenced by anion substitution. Collectively, our findings demonstrate how the fundamental properties of ILs, which determine their suitability for many applications, may be tuned by substituting counterions. These observations are critical in the sub-nanometer cluster size regime where phenomena do not scale predictably to the bulk phase, and each atom counts toward determining behavior.

MDN-0057 to MDN-0060, a Family of Broad-Spectrum Antibiotics against Gram-Negative Pathogens Produced by Ophiosphaerella korrae.

A novel family of antibiotics, MDN-0057 to MDN-0060 (1-4), was isolated from liquid cultures of the fungus Ophiosphaerella korrae. These compounds incorporate two isocyanide groups in their complex structures that were elucidated by extensive spectroscopic analyses, including HRESIMS, and 1D and 2D NMR experiments. The relative configurations were determined by using J-based configuration analyses and the interpretation of key NOESY correlations consistent with the existence of a major conformation in solution. Mosher ester derivatization analysis allowed the establishment of their absolute configurations. All four compounds displayed in vitro antibacterial activity with a broad spectrum against Gram-negative pathogens.

Temperature dependent human serum albumin Corona formation: A case study on gold nanorods and nanospheres.

Protein molecules interact with nanoparticles to form a protein layer on the surface called the protein corona. Corona formation can be affected by the temperature and shape of the nanoparticles thereby impacting the fate of the nanoparticles inside physiological systems. We have investigated the human serum albumin (HSA) corona formation and its interactions with gold nanospheres and nanorods at different temperatures (18-42°C). UV-Vis, fluorescence, isothermal titration calorimetry (ITC), x-ray photoelectron spectroscopy (XPS) and circular dichroism (CD) experiments have been performed to determine the changes due to the shape and temperature. UV-Vis spectra show a greater propensity of corona induced aggregation in the nanorods compared to the nanospheres. The Stern-Volmer plot indicates that static quenching is predominant in the HSA-AuNP interactions with higher quenching efficiency for nanorods than nanospheres. ITC analyses show that HSA-nanorods are involved in more favorable interactions compared to HSA-nanospheres. XPS studies indicate a more electron rich environment on the AuNRs surface and higher AuS interactions in AuNSs. CD spectra show higher secondary structural changes with temperature in case of HSA-AuNR interactions compared to HSA-AuNS interactions. The changes in the protein corona due to nanoparticle shape and variable temperature have been investigated through protein adsorption and composition, types of interactions and protein conformation.

Nonlinear Harmonics: A Gateway to Enhanced Image Contrast and Material Discrimination.

Recent advancements in atomic force microscopy (AFM) have enabled detailed exploration of materials at the molecular and atomic levels. These developments, however, pose a challenge: the data generated by microscopic and spectroscopic experiments are increasing rapidly in both size and complexity. Extracting meaningful physical insights from these datasets is challenging, particularly for multilayer heterogeneous nanoscale structures. In this paper, an unsupervised approach is presented to enhance AFM image contrast by analyzing the nonlinear response of a cantilever interacting with a material's surface using a wavelet-based AFM. This method simultaneously measures different frequencies and harmonics in a single scan, without the need for additional hardware and exciting multiple cantilevers' eigenmodes. This developed AFM image contrast enhancement (AFM-ICE) approach employs unsupervised learning, image processing, and image fusion techniques. The method is applied to interpret complex multilayer structures consist of defects, deposited nanoparticles and heterogeneities. Its substantial capability is demonstrated to improve image contrast and differentiate between various components. This methodology can pave the way for rapid and precise determination of material properties with enhancedresolution.

Probing London Dispersion in Proton-Bound Onium Ions: Are Alkyl-Alkyl Steric Interactions Reliably Modeled?

We report spectroscopic and spectrometric experiments that probe the London dispersion interaction between tert-butyl substituents in three series of covalently linked, protonated bis-pyridines in the gas phase. Molecular ions in the three test series, along with several reference molecules for control, were electrosprayed from solution into the gas phase and then probed by infrared multiphoton dissociation spectroscopy and trapped ion mobility spectrometry. The observed N-H stretching frequencies provided an experimental readout diagnostic of the ground-state geometry of each ion, which could be furthermore compared to a second, independent structural readout via the collision cross section. In each of the three series, the strength of a London dispersion interaction could be modulated systematically by a progressive increase in the size of substituents from H to Me to tert-Bu. Parallel to the experimental study, extensive dispersion-corrected density functional theory (DFT-D3BJ) calculations were performed with a range of exchange correlation functionals. A full analysis of the conformational space for the flexible members of the series, and an analysis of the vibrational spectra in the context of a general double-well potential, finds that DFT-D3BJ appears to significantly overbind alkyl-alkyl interactions, specifically interactions between tert-Bu groups, even failing to predict the minimum energy structures reliably in the case of molecules in which London dispersion competes with other noncovalent interactions such as hydrogen bonding.

Time-resolved vibronic spectra with nuclear-electronic orbital time-dependent configuration interaction.

Time-resolved spectroscopy is an important tool for probing photochemically induced nonequilibrium dynamics and energy transfer. Herein, a method is developed for the abinitio simulation of vibronic spectra and dynamical processes. This framework utilizes the recently developed nuclear-electronic orbital time-dependent configuration interaction (NEO-TDCI) approach, which treats all electrons and specified nuclei quantum mechanically on the same footing. A strategy is presented for calculating time-resolved vibrational and electronic absorption spectra from any initial condition. Although this strategy is general for any TDCI implementation, utilizing the NEO framework allows for the explicit inclusion of quantized nuclei, as illustrated through the calculation of vibrationally hot spectra. Time-resolved spectra produced by either vibrational or electronic Rabi oscillations capture ground-state absorption, stimulated emission, and excited-state absorption between vibronic states. This methodology provides the foundation for fully abinitio simulations of multidimensional spectroscopic experiments.

Investigation of All Disease-Relevant Lysine Acetylation Sites in α-Synuclein Enabled by Non-canonical Amino Acid Mutagenesis.

Aggregates of α-synuclein (αS) are hallmarks of synucleinopathies, including Parkinson's Disease (PD) and Multiple System Atrophy (MSA). We have recently shown that αS lysine acetylation in the soluble monomer pool varies between healthy controls, PD, and MSA patients. To study the effects of lysine acetylation at all disease-relevant sites of αS, we first compared production of acetylated αS through either native chemical ligation or non-canonical amino acid (ncAA) mutagenesis. Since yields were comparable, ncAA mutagenesis was deemed superior for scanning many acetylation sites. We expressed and purified 12 disease-relevant variants and studied their binding to membranes as well as their aggregation propensities, and found that acetylation of lysine 12, 43, and 80 had particularly strong effects. To understand the implications for acetylation of monomeric αS found in healthy cells, we performed NMR experiments to study protein conformation and fluorescence correlation spectroscopy experiments to quantify lipid binding. We also investigated the effects of acetylation at lysine 12, 43, and 80 on fibril seeding in neurons. Collectively, our biochemical and cell biological investigations indicated that acetylation of K 80 could inhibit aggregation without conferring negative effects on monomer function in healthy cells. Therefore, we studied the structures of fibrils with K 80 acetylation through cryo-electron microscopy to uncover the structural basis for these effects. Finally, we identified inhibition of HDAC8 as a way of potentially increasing acetylation at K 80 and other inhibitory sites for therapeutic benefit.

Atomic force microscopy combined with microfluidics for label-free sorting and automated nanomechanics of circulating tumor cells in liquid biopsy.

Liquid biopsies are expected to advance cancer management, and particularly physical cues are gaining attention for indicating tumorigenesis and metastasis. Atomic force microscopy (AFM) has become a standard and important tool for detecting the mechanical properties of single living cells, but studies of developing AFM-based methods to efficiently measure the mechanical properties of circulating tumor cells (CTCs) in liquid biopsy for clinical utility are still scarce. Herein, we present a proof-of-concept study based on the complementary combination of AFM and microfluidics, which allows label-free sorting of individual CTCs and subsequent automated AFM measurements of the mechanical properties of CTCs. With the use of a microfluidic system containing contraction-expansion microchannels, specific cancer cell types were separated and harvested in a marker-independent manner. Subsequently, automated AFM indentation and force spectroscopy experiments were performed on the enriched cells under the precise guidance of the label-free identification of cells using a deep learning optical image recognition model. The effectiveness of the presented method was verified on three experimental sample systems, including mixed microspheres with different sizes, a mixture of different types of cancer cells, and a mixture of cancer cells and blood cells. The study illustrates a feasible framework based on the integration of AFM and microfluidics for non-destructive and efficient nanomechanical phenotyping of CTCs in bodily fluids, which offers additional possibilities for the clinical applications of AFM-based nanomechanical analysis and will also benefit the field of mechanobiology as well as cancer liquid biopsy.

Revisiting the Helium Isotope-Shift Puzzle with Improved Uncertainties from Nuclear Structure Corrections

Measurements of the difference between the squared charge radii of the helion (He3 nucleus) and the α particle (He4 nucleus) have been characterized by longstanding tensions recently spotlighted in the 3.6σ discrepancy of the extractions from ordinary atoms versus those from muonic atoms [Karsten Schuhmann , ]. Here, we present a novel analysis of uncertainties in nuclear structure corrections that must be supplied by theory to enable the extraction of the difference in radii from spectroscopic experiments. We use modern Bayesian inference techniques to quantify uncertainties stemming from the truncation of the chiral effective field theory expansion of the nuclear force for both muonic and ordinary atoms. With the new nuclear structure input, the helium isotope-shift puzzle cannot be explained, rather, it is reinforced to a 4σ discrepancy. Published by the American Physical Society 2025

Copper‐Catalysed Electrochemical CO2 Methanation via the Alloying of Single Cobalt Atoms

AbstractThe electrochemical reduction of carbon dioxide (CO2) to methane (CH4) presents a promising solution for mitigating CO2 emissions while producing valuable chemical feedstocks. Although single‐atom catalysts have shown potential in selectively converting CO2 to CH4, their limited active sites often hinder the realization of high current densities, posing a selectivity‐activity dilemma. In this study, we developed a single‐atom cobalt (Co) doped copper catalyst (Co1Cu) that achieved a CH4 Faradaic efficiency exceeding 60 % with a partial current density of −482.7 mA cm−2. Mechanistic investigations revealed that the incorporation of single Co atoms enhances the activation and dissociation of H2O molecules, thereby lowering the energy barrier for the hydrogenation of *CO intermediates. In situ spectroscopic experiments and density functional theory simulations further demonstrated that the modulation of the *CO adsorption configuration, with stronger bridge‐binding, favours deep reduction to CH4 over the C−C coupling or CO desorption pathways. Our findings underscore the potential of Co1Cu catalysts in overcoming the selectivity‐activity trade‐off, paving the way for efficient and scalable CO2‐to‐CH4 conversion technologies.

Behavior of YSZ (High Y2O3 Content) Layer on Inconel to Electro-Chemical Corrosion.

The high yttria content of a stabilized zirconia (YSZ) (38 wt% Y2O3) coating was deposited by atmospheric plasma spraying (APS) from Metco 207 powders on an Inconel 718 (Ni-based superalloy) substrate. As a metal coating connection, a layer of cermet powder (Ni-20% Al-410NS) was used before the ceramic layer deposition. The electro-chemical corrosion resistance of these materials was tested using Inconel cylinders with a diameter of 10 mm and a thickness of 1 mm, with and without the ceramic layer. Linear and cyclic measurements were obtained in H2SO4 electrolyte media at pH = 2. Electro-impedance spectroscopy (EIS) experiments were performed on the sample covered with the ceramic layer to evaluate the interface behavior. Scanning electron microscopy (SEM), along with equipment to determine chemical composition, and an energy dispersive spectrometry (EDS) detector were used to characterize the material surface before and after corrosion tests. It was observed that the corrosion resistance of Inconel was influenced by the bonding layer and the ceramic coating.

Novel Dehydroabietylamine C-Ring Schiff Base Derivatives: Synthesis, Antiproliferative activity, DNA binding and Molecular docking.

A series of Dehydroabietylamine (DHAA) C-ring Schiff derivatives, L3-L20, were synthesized and their in vitro cytotoxic activity against the human tumor cell lines cervix HeLa, breast MCF-7, lung A549, liver HepG2, and the nonmalignant cell line umbilical vein HUVEC was investigated. Most of the compounds showed varying degrees of anticancer activity against HeLa cell lines while demonstrating lower toxicity to normal HUVEC cells compared to DHAA and doxorubicin (DOX), especially compound L19, which not only enhanced the anticancer activity of DHAA, but also significantly reduced the toxicity to normal cells, achieving a selectivity index (SI) 118 times higher than that of DHAA and 245 times higher than that of DOX. In addition, compound L19 induced apoptosis in HeLa cells in a dose-dependent manner and arrested the cell cycle in S phase. Spectroscopic experiments and molecular docking results showed that there was a strong interaction between the compounds and DNA. All these results indicate that the introduction of Schiff base structure on the C-ring of DHAA is an effective strategy for enhancing its selectivity, providing new insights for the design of DHAA-based anticancer compounds.

Copper-Catalysed Electrochemical CO2 Methanation via the Alloying of Single Cobalt Atoms.

The electrochemical reduction of carbon dioxide (CO2) to methane (CH4) presents a promising solution for mitigating CO2 emissions while producing valuable chemical feedstocks. Although single-atom catalysts have shown potential in selectively converting CO2 to CH4, their limited active sites often hinder the realization of high current densities, posing a selectivity-activity dilemma. In this study, we developed a single-atom cobalt (Co) doped copper catalyst (Co1Cu) that achieved a CH4 Faradaic efficiency exceeding 60% with a partial current density of -482.7 mA cm-2. Mechanistic investigations revealed that the incorporation of single Co atoms enhances the activation and dissociation of H2O molecules, thereby lowering the energy barrier for the hydrogenation of *CO intermediates. In situ spectroscopic experiments and density functional theory simulations further demonstrated that the modulation of the *CO adsorption configuration, with stronger bridge-binding, favours deep reduction to CH4 over the C-C coupling or CO desorption pathways. Our findings underscore the potential of Co1Cu catalysts in overcoming the selectivity-activity trade-off, paving the way for efficient and scalable CO2-to-CH4 conversion technologies.

Spectroscopic Study on Identifying Synergistic Extraction Complexes of Nd(III) with Bis(2,4,4-Trimethylpentyl)Dithiophosphinic Acids and TBP

ABSTRACT Selective separation of trivalent actinide ions, An(III), from trivalent actinide ions, Ln(III), has been of great importance and considerable challenge in terms of the overall nuclear fuel cycle strategy. The construction of the hard-soft synergistic extraction system, commonly S containing-O containing ligands, aims to achieve the effective separation of the two metal ions. Nevertheless, the precise mechanism by which this system extracts metal ions remains the subject of controversy. Herein, the complexation of Nd(III) with bis(2,4,4-trimethylpentyl)dithiophosphinic acid (HL) and tributyl phosphate (TBP) has been investigated with spectroscopy and extraction experiments under different conditions to clarify the mechanisms in synergistic extraction. Five complex species, NdL3(HL)(TBP), NdL2(NO3)(TBP)3, NdL3(H2O)2(TBP), NdL3(H2O)(TBP)2, and NdL3(TBP)3, are identified in the synergistic extraction system, their molar absorption spectra are deconvoluted, and the corresponding extraction equilibrium constants are determined. In addition, a complex species of Nd(III) fully coordinated by TBP, NdL3(TBP)n (n ≥ 6), is found in titrations of organic solution containing NdL3(TBP)3 with more TBP, but it is not found in synergistic extraction. Furthermore, Density Functional Theory (DFT) is employed to confirm the stability of the complexes. Investigation of the mechanism of this system will facilitate the acquisition of further insights into the selection of O-containing ligands and the development of synergistic extraction process for the separation of An(III) and Ln(III).

Shaping the Emission Directivity of Single Quantum Dots in Dielectric Nanodisks Exploiting Mie Resonances.

Manipulating the optical landscape of single quantum dots (QDs) is essential to increase the emitted photon output, enhancing their performance as chemical sensors and single-photon sources. Micro-optical structures are typically used for this task, with the drawback of a large size compared to the embedded single emitters. Nanophotonic architectures hold the promise to modify dramatically the emission properties of QDs, boosting light-matter interactions at the nanoscale, in ultracompact devices. Here, we investigate the interplay between gallium arsenide (GaAs) single QDs and aluminum gallium arsenide (AlGaAs) nanostructures, capitalizing on the Kerker condition for precise control of the QD emission directivity. An extensive analysis of the photoluminescence spectra of several QDs embedded in nanodisks revealed a pronounced directivity enhancement due to the Kerker effect, confirmed by theoretical simulations, resulting in a 14-fold increase of emitted intensity. Angle-resolved spectroscopy experiments also proved that the integration of GaAs QDs within nanostructures determines a precise angled emission, offering a distinctive avenue for manipulating the spatial characteristics of emitted light by exploiting Mie resonances. This work contributes to the optimization of QD integration in nanostructures and suggests potential improvements for applications in optical communications.

Selecting Initial Conditions for Trajectory-Based Nonadiabatic Simulations.

ConspectusPhotochemical reactions have always been the source of a great deal of mystery. While classified as a type of chemical reaction, no doubts are allowed that the general tenets of ground-state chemistry do not directly apply to photochemical reactions. For a typical chemical reaction, understanding the critical points of the ground-state potential (free) energy surface and embedding them in a thermodynamics framework is often enough to infer reaction yields or characteristic time scales. A general working principle is that the energy profile along the minimum energy paths provides the key information to characterize the reaction. These well-developed concepts, unfortunately, rarely stretch to processes involving the formation of a nonstationary state for a molecular system after light absorption.Upon photoexcitation, a molecule is likely to undergo internal conversion processes, that is, changes of electronic states mediated by couplings between nuclear and electronic motion, precisely what the celebrated Born-Oppenheimer approximation neglects. These coupled electron-nuclear processes, coined nonadiabatic processes, allow for the molecule to decay from one electronic state to the other nonradiatively. Understanding the intricate nonadiabatic dynamics is pivotal to rationalizing and predicting the outcome of a molecular photoexcitation and providing insights for experiments conducted, for example, in advanced light sources such as free-electron lasers.Nowadays, most simulations in nonadiabatic molecular dynamics are based on approximations that invoke a near-classical depiction of the nuclei. This reliance is due to practical constraints, and the classical equations of motion for the nuclei must be supplemented by techniques such as surface hopping to account for nonadiabatic transitions between electronic states. A critical but often overlooked aspect of these simulations is the selection of initial conditions, specifically the choice of initial nuclear positions and momenta for the nonadiabatic dynamics, which can significantly influence how well the simulations mimic real quantum systems across various experimental scenarios. The conventional approach for generating initial conditions for nonadiabatic dynamics typically maps the initial state onto a nuclear phase space using a Wigner quasiprobability function within a harmonic approximation, followed by a second approximation where the molecule undergoes a sudden excitation.In this Account, we aim to warn the experienced or potential user of nonadiabatic molecular dynamics about the possible limitations of this strategy for initial-condition generation and its inability to accurately describe the photoexcitation of a molecule. More specifically, we argue that the initial phase-space distribution can be more accurately represented through molecular dynamics simulations by using a quantum thermostat. This method offers a robust framework that can be applied to large, flexible, or even solvated molecular systems. Furthermore, the reliability of this strategy can be benchmarked against more rigorous approaches such as path integral molecular dynamics. Additionally, the commonly used sudden approximation, which assumes a vertical and sudden excitation of a molecule, rarely reflects the excitation triggered by laser pulses used in actual photochemical and spectroscopic experiments. We discuss here a more general approach that can generate initial conditions for any type of laser pulse. We also discuss strategies to tackle excitation triggered by a continuous-wave laser.

Autocorrelation and Multifractal Detrended Fluctuation Analyses Reveal Superdiffusive Mass Transport in Solvent-Filled Nanoporous Media.

Fluorescence fluctuation spectroscopy experiments were conducted to better understand the complex mass transport dynamics of organic molecules in liquid-filled nanoporous media. Anodic aluminum oxide (AAO) membranes incorporating 10 and 20 nm diameter cylindrical pores were employed as model materials. Nile red (NR) dye was used as a fluorescent tracer. The dye was dissolved separately in ethanol and toluene at a concentration of 20 nM and used to fill the membrane nanopores. Confocal fluorescence microscopy was employed to capture photon intensity time series data reflecting apparent diffusion of the dye within the pores. Autocorrelation of these data revealed that NR diffusion within the membranes occurred over a broad range of time scales. The autocorrelation decays were fit to a model for one-dimensional diffusion incorporating both fast and slow components having apparent diffusion coefficients, Df and Ds, differing by a factor of ∼100. The fast mechanism was attributed to hindered bulk-like diffusion in the central pore cavity, while slow diffusion likely involved absorption of the dye to the pore surfaces. Unfortunately, important evidence of diffusion anomalies is lost in the broad autocorrelation decays obtained. The method of multifractal detrended fluctuation analysis (MF-DFA) was applied to the same data as a means to overcome this limitation. MF-DFA revealed that time series acquired from within the nanopores were multifractal and exhibited evidence of anomalous superdiffusion, likely resulting from the participation of a desorption-mediated diffusion mechanism. Monte Carlo simulations of time series modeling desorption-mediated diffusion in cylindrical nanopores provided support for this assignment. The new knowledge gained affords an improved understanding of hydrocarbon dynamics within nanoporous oil and gas shales.

Organophosphate esters inhibit enzymatic proteolysis through non-covalent interactions.

Enzymatic proteolysis is the key process to produce bioavailable nitrogen in natural terrestrial and aquatic ecosystems for microorganisms and plants. However, little is known on how protein degradation is influenced by organic contaminants. As we known, the overuse of organophosphate esters (OPEs) has caused serious pollution in soil, water, and sediment. Thereby we studied the effect of OPEs on the proteolysis of protein GB1 in aqueous system at neutral pH, and explored the underlying molecular mechanism. Colorimetric ninhydrin methods and SDS-PAGE results revealed that OPEs inhibited the enzymatic hydrolysis of protein GB1. Based on fluorescence quenching experiments, the binding constant (LogKA) were found in order: 6.16 (dibutyl phosphate)>5.11 (diethyl phosphate)>1.78 (tributyl phosphate)>0.876 (triethyl phosphate), proving the interactions between OPEs and protein GB1. Further spectroscopic experiments and molecular docking simulations showed that OPEs could entered the pocket structure of GB1 and induced secondary structural changes and protein folding through non-covalent interactions dominated by hydrogen bonding and van der Waals forces. In addition, organophosphate diesters (di-OPEs) and long-chain OPEs had stronger affinity to GB1, due to the more negative and denser electrostatic surface potential distributions. The deformation of proteins hindered the contact between their active sites and enzymes, leading to the inhibition of GB1 hydrolysis. This study deepened our understanding of the effect of OPEs on protein transformation and degradation, which could further influence the ecological functions and nutrient cycling.

The dissolution and bioavailability of curcumin reinforced by loading into porous starch under solvent evaporation.

Curcumin is a polyphenol with anti-inflammatory and antitumorigenic properties. However, its low water solubility and bioavailability limit its use. In this study, porous starch supplemented with a solvent evaporation process was demonstrated as a highly loaded vehicle for curcumin (17.82%) that could be efficiently solubilized over sustained periods. The migration of curcumin and its adsorption onto the surface of porous starch during solvent evaporation indicated that curcumin was deposited as amorphous globules in pores and encapsulated on the starch surface. The process was demonstrated to involve hydrogen bonding and hydrophobic interactions using infrared spectroscopy and particle dissociation experiments. Notably, the saturated solubility of curcumin in CU/PS in ionized water, ethanol, and acetic acid was 17.81×, 31.65×, and 26.53× greater than that of raw curcumin, respectively. In particular, it could slowly dissolve in simulated intestinal fluids and exhibited a higher cumulative dissociation (about 6 times that of raw curcumin). In vitro experiments using a colon adenocarcinoma cell line confirmed that curcumin loaded with porous starch enhanced cellular uptake and reduced IC50 of raw curcumin by 55 times. Thus, porous starch with a simple and efficient process provides new ideas for the design of drug delivery systems and is expected to inspire further development in reducing dosing intervals and maximizing therapeutic efficacy.