Label-Free Detection of DNA Base Mutation and Hybridized DNA by an Electrostatically Modified 3D Plasmonic Array.

Surface-enhanced Raman scattering (SERS) represents a promising avenue for DNA detection as it offers intrinsic chemical insights with high sensitivity compared to conventional methods. However, label-free and quantitative detection of unmodified DNA by SERS remains a major challenge in DNA analysis. To overcome this challenge, we propose a positively charged plasmonic nanosurface for DNA capture and quantitative analysis. Highly sensitive and uniform SERS enhancement was realized by a three-dimensional plasmonic array supporting well-designed hybrid plasmonic modes. Subsequently, the plasmonic array was modified with an electrostatically functionalized PDDA (poly(diene-dimethylammonium-chloride)) self-assembled monolayer in a single step. The effectiveness of the resulting PDDA-SERS substrate was demonstrated by the label-free and quantitative detection of base content and base mutation in hybridized DNA. The PDDA-SERS substrate provides a robust platform for SERS analysis not only of DNA but also of other electronegative analytes.

Characterization of Rhodiola heterodonta (Crassulaceae): Phytocomposition, Antioxidant and Antihyperglycemic Activities.

Plant extracts have been widely used in traditional medicine to prevent diabetes. The present study aimed to examine the antihyperglycemic properties of an ethanolic extract from Rhodiola heterodonta roots. In vitro evaluation revealed that treatment with the R. heterodonta extract resulted in significant reactive oxygen species inhibition, glucose binding, glucose transporter activation, and suppression of α-amylase and α-glucosidase. Moreover, the treatment with 100 mg/kg of R. heterodonta extract dramatically decreased glucose levels in glucose-, alloxan-, or adrenaline-induced diabetic rats. The information gathered in this study bridges the knowledge gap between traditional healers in Uzbekistan who utilize R. heterodonta and its potential for future medication development.

A comprehensive method for quality evaluation of Tibetan medicine Synotis solidaginea by integrating UHPLC-Q-Orbitrap MS chemical profiling and UHPLC-DAD multi-components quantification.

Synotis solidaginea Hand.-Mazz. (SSD) is a commonly used Tibetan medicinal herb with a long history of therapeutic use and has good medicinal value and development and utilization prospects. This study aimed to establish and validate a comprehensive strategy integrating UHPLC-Q Exactive Orbitrap HRMS chemical profiling and UHPLC-DAD multi-components quantification for the holistic quality evaluation of SSD. Using UHPLC-Q Exactive Orbitrap HRMS, a total of 58 components in SSD including flavonoids, organic acids, terpenoids, coumarin, and alkaloids were identified or tentatively characterized by authentic reference standards and accurate masses and characteristic fragment ions. The proportion of flavonoids and organic acids were the most in SSD. Subsequently, 7 characteristic components in SSD were quantified by a newly established UHPLC-DAD method that was validated in terms of linearity and ranges, LOD and LOQ, precision, repeatability, stability, and accuracy. Finally, the method was successfully used for the quality evaluation of 8 batches of SSD collected from 5 production areas in China. ANOVA and post hoc Tukey test are used to evaluate the differences in component content in SSD from different production areas. There are significant differences in the content of SSD from different regions (P < 0.05), which may be related to the climate, altitude, and other natural environments of the regions. This work laid a valuable foundation for further development and comprehensive quality control of SSD.

Development of a Competitive Chemiluminescent Assay for Quantitative Determination of TP53 Fusion Protein Using Reagent Strips.

Recent studies have shown that almost half of all cancers occur due to DNA damage. For the early diagnosis of cancer, a highly sensitized and swift identification for TP53 is needed since the corresponding TP53 protein is effectively recognized as "the guardian of the genome." To improve the detection sensitivity, numerous analytical methods were previously used for the determination of the TP53 protein, including denaturing high-performance liquid chromatography and enzyme-linked immunosorbent assay (ELISA). Currently, immunochromatographic tests (ICTs) that are simple to use, stable over time, and show low interference are regarded as valuable tools for the quick screening of food and environmental monitoring along with clinical diagnosis. ICTs often have limited sensitivity even if a variety of novel reporters possessing optimum photostability and improved brightness are used as signal-intensity reporters. Compared with N-(4-aminobutyl)-N-(ethylisoluminol) or luminol, a novel luminescent probe, 2',6'-diMethyl-4'-(N-succiniMidyloxycarbonyl) phenyl-10-sulfopropylacridiniuM-9-carboxylate (NSP-DMAE-NHS) has achieved a much higher efficiency, improvement in the biosensor's performance, and amplification of the signal without causing any damage to the biomolecule in terms of its biochemical activity. In this study, the reagent strip method was initially used to detect TP53 fusion protein by combining the advantages of NSP-DMAE-NHS and immunochromatography. In our experiment, the control and study lines on the strips were immobilized through HRP-conjugated goat anti-rabbit IgG and TP53 antigen, respectively. The optimized concentration of the anti-TP53 antibody-NSP-DMAE-NHS immunoconjugates was then added to the TP53 antigen samples. After, the test strips were inserted and left in the aforementioned buffer solution for an additional 20 min. Finally, a lab-made luminous measurement device was used to analyze the corresponding control and study lines on the strips. Under optimized conditions, this method was found to be ultrasensitive, with a wide range of linear responses from 0.0008 ng mL-1 to 1 µg mL-1 and a limit of detection of 0.0008 ng mL-1 (0.013 pM). Thus, a novel competitive chemiluminescent assay based on reagent strips was established for the determination of the TP53 fusion proteins. The strategy has potential applications for ultrasensitive detection in the early diagnosis of cancer.

Quantitative determination of selected heavy metals and micronutrients in branded dairy products sold in Nigeria using atomic absorption spectroscopy (AAS)

Quantitative analysis of heavy metals and nutrients in food helps indicate the safety and quality of food for final consumers. The present study was conducted to assess the presence of heavy metals (arsenic, copper, mercury, chromium, and lead) and the nutritional value of calcium in branded milk and yogurt to evaluate health risks for consumers. Ten (10) samples of branded milk and dairy products manufactured in Nigeria were purchased. The metal contents of the samples were determined using atomic absorption spectroscopy. The concentrations of calcium in the milk samples were between 9.33 ± 0.0023 and 18 ± 0.0071 ppm and were detected in all samples. Arsenic concentrations ranged from 0.45 ± 0.00042 to 2.48 ± 0.00064 ppm in eight branded samples but were undetected in two samples. Chromium levels were undetected in most samples, except for two with concentrations of 0.12±0.00049 ppm and 0.23±0.00021 ppm, respectively. Copper ranged from 0.032±0.00021 ppm to 0.129±0.00021 ppm in six samples. Mercury levels were detected in six samples at a concentration of 1.0±1.0 ppm. Lead concentrations ranged from 0.15±0.00064 to 0.29±0.00028 ppm in three samples. The study found heavy metals above the ideal concentration in branded milk and dairy products in Nigeria, highlighting the need for quality control measures during production to prevent contamination.

Validated HPLC method for simultaneous quantitative determination of dimethylcurcumin and resveratrol in pluronic-F127 nanomicelles: Formulation with enhanced anticancer efficacy.

Nano-micelles offer a promising vehicle for the delivery various therapeutically significant biologicals. Development of convenient and efficient chromatographic methods for the quantitative determination of the active pharmaceutical ingredients in such systems is of immense importance. In this study pluronic-F-127 nano-micelles were prepared and loaded with dimethylcurcumin (DMC) and resveratrol (Res). A simple, convenient and effective HPLC method was developed for the quantitative estimation of DMC and Res in the polymeric nano-micelles through a single injection. A reverse-phase ACE® C18 column (250 mm × 4.6 mm) was used with a gradient mobile phase system consisting of 1 % MeOH and 0.1 % H3PO4:100 % acetonitrile at 1 mL/min flow rate with UV detection for Res, and fluorescence detector for DMC. The calibration curves generated for both the compounds were found linear with r2 values of 1.000 over a concentration range of 2-25 µg/mL with low limit of detection (LOD) values of 0.37 and 0.16 µg/mL for DMC and Res respectively and limit of quantification (LOQ) values of 1.23 and 0.55 µg/mL for DMC and Res respectively. Similarly, accuracy was found in a range of 98.80 -102.47 % for DMC and 100.58-101.77 % for Res. Furthermore, the within-run precisions (%RSD) were 0.073 - 0.444% for DMC and 0.159 - 0.917% for Res, while between-run precisions (%RSD) were 0.344 - 1.47 for DMC and 0.458 - 1.651 for Res. Moreover, the DMC with Res co-loaded nanomicelles showed higher activity against MCF-7 and MDA-MB 231 compared to DMC and Res alone. Overall, this study presented a simple, convenient, precise and accurate method for the quantitative determination of DMC and Res in polymeric nano-micelles which have anticancer potential.•A simple HPLC for the quantitative determination of DMC and Res in nanomicelles having anti-cancer potential.•Non complicate with high degree of recoveries of sample preparation process.•This method can be used to determine a mixture of DMC and Res in pharmaceutical formulation in single injection.

Nonaqueous Capillary Electrophoretic Separation of Analogs of (24R)-1,24-Dihydroxyvitamin D3 Derivative as Predicted by Quantum Chemical Calculations.

Nonaqueous capillary electrophoretic (NACE) separation was obtained of analogs of (24R)-1,24-dihydroxyvitamin D3 derivative (calcipotriol) as predicted by quantum chemical calculations supported by the density functional theory (DFT). Among the key electronic properties investigated, absolute values of the dipole polarizability and energy gap between HOMO and LUMO molecular orbitals of the analog molecules differ significantly for particular analogs, and there is a direct relationship with their electrophoretic migration time. These differences and relationships suggest that the structurally related analogs should be separable in the electrostatic field. Indeed, the robust, sensitive, and rapid NACE method was first developed for the identification and determination of the anticancer analog of calcipotriol (coded PRI-2205) and its process-related impurities (coded PRI-2201, PRI-2203, and PRI-2204) in organic and aqueous biological solutions. The direct relation between the calculated electronic properties of the analogs and the experimental electrophoretic migration time could be a promising prospect for theoretically predicting the electrophoretic separations.

Elemental impurities determination in bromhexine hydrochloride injections.

Elemental impurities in drug products have no therapeutic effect and may pose toxicological concerns, therefore it is urgent to assess the safety of elements especially in parenteral exposure drug. In the present work, a high throughput inductively coupled plasma mass spectrometry (ICP-MS) method was developed for the quantitative determination of 31 elemental impurities in bromhexine hydrochloride injections from 9 manufactures. The method was successfully validated for linearity, accuracy, precision, stability, the LOD and the LOQ according to the United States Pharmacopeia (USP) < 233 > . All the elemental impurities determined were below the permitted daily exposure (PDE) limits proposed by the International Council for Harmonisation (ICH). However, significant differences were found between different manufactures' products for some elements, particularly for Al, As, B, Ba and Zn. Besides, discussions considering potential risks of elemental contamination were also presented.

Optimizing the Schoenemann Reaction for Colorimetric Assays of VX and GD.

The analysis of nerve agents is the focus of chemical warfare agent determination because of their extreme toxicity. A classical chemical colorimetric method, namely, the Schoenemann reaction, has been developed to detect G agents; however, it has not been utilized for VX analysis mainly because of its low peroxyhydrolysis rate. In this study, based on the mechanism of the Schoenemann reaction, a novel rapid quantitative determination method for VX was developed by optimizing the reaction conditions, such as concentrations of peroxide and the indicator, temperature, and reaction time. Using 2 ml 0.5 wt% sodium perborate as the peroxide source, 1 ml 0.1 wt% benzidine hydrochloride as the indicator, and 1 ml acetone as the co-solvent, VX and GD in ethanol or water solutions could be quantitatively analyzed within 15 min at 60°C. Further experiments based on 31P NMR spectroscopy confirmed the existence of a peroxyphosphate intermediate during the GD assay. This quantitative colorimetry system for VX and GD analysis can be developed as a portable device for the water samples in fieldwork applications.

Quantitative determination of d-psicose based on flexible copper film materials and electrochemical scanning methods.

In this paper, a three-electrode electrochemical detection system was designed. Platinum electrode was used as the counter electrode, saturated KCl electrode as reference electrode, and copper film material as working electrode, respectively. Cyclic voltammetry (CV) and chronoamperometry (i-t) methods were used for d-psicose scanning. CV results indicated that d-psicose presented the oxidation-reduction reacting procedure on the surface of copper film electrode. Testing parameters optimization was conducted using CV scanning in different scanning rates. d-psicose quantitative determination model was developed by i-t scanning results. The sensitivity was9419.1A×cm-2·mol/L, the detection limit was1.04311×10-8mol/L. The proposed method has some advantages including high sensitivity, low detection line, and fast response speed. Negative control testing results by using glucose, sucrose, and NaCl solutions demonstrated that the proposed method had good selectivity.

Real-time monitoring of mercury(II) in water and food samples using a quinoline-based ionic probe.

Herein, a novel ionic fluorescent probe for mercury(II) detection is presented consisting of a functional quinoline-based IL. Interestingly, the probe displayed high sensitivity (0.8 nM) and selectivity through the regulation function of electrostatic attraction, where its performance was significantly superior to that of quinoline probes without negative charge. Furthermore, the probe was found to exhibit two different fluorescent signals and colorimetric signals in the presence of different concentrations of mercury(II), which was consistent with the reaction mechanisms of the generation of large conjugated systems and the formation of anion-mercury(II) complexes. Moreover, this probe could be further loaded on a simple filter paper to serve as a visual paper sensor due to its adequate response time of less than 5 s. This regulation function strategy of electrostatic attraction has excellent potential for use in the precise detection of targeted analytes in real complex samples with improved accuracy and selectivity.

Quantitative determination of four mycotoxins in cereal by fluorescent microsphere based immunochromatographic assay.

BACKGROUND: Mycotoxins are secondary metabolites produced by fungi, which have serious effects on humans and animals. In this study, we selected the monodispersed polystyrene fluorescent microspheres with good luminescence performance and strong stability as markers to conjugate with four mycotoxins antibodies for preparing fluorescent probes. We have developed a fluorescent microsphere based immunochromatographic assay (FMICA) to detect sensitively and quickly zearalenone (ZEN), aflatoxin B1 (AFB1 ), fumonisin B1 (FB1 ), and ochratoxin A (OTA) in cereal. RESULTS: Under optimal experimental conditions, the procedure of this method can be completed within 10 min. The limit of detection (LOD) of FMICA for ZEN, AFB1 , FB1 , and OTA is 0.072, 0.093, 0.32, and 0.19 µg L-1 , respectively. And FMICA has good specificity and no cross-reactivity with other mycotoxins. Four mycotoxins in naturally contaminated cereal samples (corn, rice, and oat) are detected by this method, and the results are highly consistent with that of ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). CONCLUSION: The developed FMICA has good accuracy, high sensitivity, simplicity, convenience, rapidity, and low cost, and it could be employed for sensitive and quantitative detecting of mycotoxins in cereal on-site. © 2022 Society of Chemical Industry.

Quantitative Determination of Cannabis Terpenes Using Gas Chromatography-Flame Ionization Detector.

Background: Cannabis has a long history of being credited with centuries of healing powers for millennia. The cannabis plant is a rich source of cannabinoids and terpenes. Each cannabis chemovar exhibits a different flavor and aroma, which are determined by its terpene content. Methods: In this study, a gas chromatography-flame ionization detector method was developed and validated for the determination of the 10 major terpenes in the main three chemovars of Cannabis sativa L. with n-tridecane used as the internal standard following the standard addition method. The 10 major terpenes (monoterpenes and sesquiterpenes) are α-pinene, ß-pinene, ß-myrcene, limonene, terpinolene, linalool, α-terpineol, ß-caryophyllene, α-humulene, and caryophyllene oxide. The method was validated according to Association of Official Analytical Chemists guidelines. Spike recovery studies for all terpenes were carried out on placebo cannabis material and indoor-growing high THC chemovar with authentic standards. Results: The method was linear over the calibration range of 1-100 µg/mL with r2>0.99 for all terpenes. The limit of detection and limit of quantification were calculated to be 0.3 and 1.0 µg/mL, respectively, for all terpenes. The accuracy (%recovery) at all levels ranged from 89% to 104% and 90% to 111% for placebo and indoor-growing high THC chemovar, respectively. The repeatability and intermediate precision of the method were evaluated by the quantification of target terpenes in the three different C. sativa chemovars, resulting in acceptable relative standard deviations (less than 10%). Conclusions: The developed method is simple, sensitive, reproducible, and suitable for the detection and quantification of monoterpenes and sesquiterpenes in C. sativa biomass.

A visible colorimetric sensor array based on chemo-responsive dyes and chemometric algorithms for real-time potato quality monitoring systems.

The colorimetric sensor array real-time monitoring system with multivariate analysis was established for discrimination of potato varieties with different types and degrees of corruption. The characteristic volatile compounds of fresh, dry rot and soft rot potatoes was identified by Gas Chromatography-Mass Spectrometry and the 3 × 4 array was fabricated to capture the characteristics volatile compounds. The sensor array system produced a visible color difference map upon its exposure to volatile compounds of potato. Discrimination of potatoes with the same types or different degrees of corruption was subsequently achieved using principal component analysis and hierarchical clustering analysis dendrogram. The k-nearest neighbor algorithm for potato classification provided the best results with 100 % discrimination on both the calibration and prediction sets. The linear discriminant analysis model achieved a 99.76 % calibration set and a 99.31 % prediction set for potato grading. An online warning device based on array was devised to realize unmanned monitoring for potato quality.

Methodology for Quantifying Volatile Compounds in a Liquid Mixture Using an Algorithm Combining B-Splines and Artificial Neural Networks to Process Responses of a Thermally Modulated Metal-Oxide Semiconductor Gas Sensor.

Metal oxide semiconductor (MOS) gas sensors have many advantages, but the main obstacle to their widespread use is the cross-sensitivity observed when using this type of detector to analyze gas mixtures. Thermal modulation of the heater integrated with a MOS gas sensor reduced this problem and is a promising solution for applications requiring the selective detection of volatile compounds. Nevertheless, the interpretation of the sensor output signals, which take the form of complex, unique patterns, is difficult and requires advanced signal processing techniques. The study focuses on the development of a methodology to measure and process the output signal of a thermally modulated MOS gas sensor based on a B-spline curve and artificial neural networks (ANNs), which enable the quantitative analysis of volatile components (ethanol and acetone) coexisting in mixtures. B-spline approximation applied in the first stage allowed for the extraction of relevant information from the gas sensor output voltage and reduced the size of the measurement dataset while maintaining the most vital features contained in it. Then, the determined parameters of the curve were used as the input vector for the ANN model based on the multilayer perceptron structure. The results show great usefulness of the combination of B-spline and ANN modeling techniques to improve response selectivity of a thermally modulated MOS gas sensor.

Determination of Genotoxic Impurity N-Nitroso-N-methyl-4-aminobutyric Acid in Four Sartan Substances through Using Liquid Chromatography-Tandem Mass Spectrometry.

N-nitroso-N-methyl-4-aminobutyric acid (NMBA) is the third N-nitrosamine impurity found in sartans. Herein, a sensitive and stable LC-MS/MS method with multiple reactions monitoring mode has been developed for the quantitative determination of NMBA in four sartan substances. The effective separation of NMBA and sartan substances was achieved on a C18 column under gradient elution conditions. The mass spectrometry method of the atmospheric pressure chemical ionization source and internal standard method was selected as the quantitative analysis method of NMBA. Then, this proposed LC-MS/MS analysis method was validated in terms of specificity, sensitivity, linearity, accuracy, precision and stability. Good linearity with correlation coefficient over 0.99 was obtained at the NMBA concentration of 3-45 ng/mL, and the limit of quantification was 3 ng/mL. Additionally, the recoveries of NMBA in four sartan substances ranged from 89.9% to 115.7%. The intra-day and inter-day relative standard deviation values were less than 5.0%. In conclusion, this developed determination method for NMBA through liquid chromatography-tandem mass spectrometry showed the characteristics of good sensitivity, high accuracy and precision, which will be of great help for the quantitative analysis of NMBA in sartan products.

Analysis of 3-nitropropionic acid in Fabaceae plants by HPLC-MS/MS.

INTRODUCTION: 3-Nitropropionic acid (3-NPA) is a toxic compound that can accumulate in esterified form in the Fabaceae family. In the Lotae tribe, many species have been identified as 3-NPA producers (e.g., Securigera varia), while some of the genetically close Lotae plants were formerly reported as 3-NPA-free (e.g., Lotus corniculatus and Anthyllis vulneraria). These plants are used as forage and have a tradition in ethnomedicine, also, the extracts of A. vulneraria are used in cosmetics. OBJECTIVES: Our aim was to investigate the 3-NPA content of these selected Fabaceae species and to develop a validated quantitative method to evaluate 3-NPA concentrations in extracts of different herbal parts and cosmetic products. MATERIALS AND METHODS: A UHPLC-ESI-Orbitrap-MS/MS method was applied for detection and identification of 3-NPA derivatives in the form of glucose esters. For the quantitative analysis, an optimized sample processing method was developed. The free 3-NPA content was determined using HPLC-ESI-MS/MS. RESULTS: 3-NPA esters could be detected in all three species, but their quantity showed a high variation. S. varia contained 0.5-1.0 g/100 g of 3-NPA, while in L. corniculatus samples only trace quantities were detectable, below the LOQ (25 ng/ml). Most of the A. vulneraria samples showed similarly low concentrations, but one sample had 3-NPA levels comparable to S. varia. 3-NPA could not be detected in the tested cosmetics containing A. vulneraria extracts. CONCLUSIONS: Using highly sensitive analytical methods, new 3-NPA-containing species were identified. The developed validated quantitative method is suitable for the determination of 3-NPA concentrations in herbal samples.

Development of a Hydrazine-Based Solid-Phase Extraction and Clean-Up Method for Highly Selective Quantification of Zearalenone in Edible Vegetable Oils by HPLC-FLD.

Rapid, cost-efficient, and eco-friendly methods are desired today for routine analysis of the Fusarium mycotoxin zearalenone (ZEN) in edible vegetable oils. Liquid chromatography with fluorescence detection (HPLC-FLD) is commonly used to reliably control the specified ZEN maximum levels, which requires efficient sample clean-up to avoid matrix interferences. Therefore, a highly selective extraction and clean-up method based on reversible covalent hydrazine chemistry (RCHC) using hydrazine-functionalized silica was developed. This efficient solid-phase extraction (SPE) involves reversible hydrazone formation of ZEN with the hydrazine moiety covalently bound to a solid phase. Optimal conditions were achieved with 1 mL SPE cartridges filled with 400 mg of hydrazine-functionalized silica. The developed RCHC-SPE method was validated in an interlaboratory comparison study (ILC) with twelve participants analyzing six edible vegetable oils with a focus on maize oils. The derived method parameters (ZEN recovery 83%, repeatability 7.0%, and reproducibility 18%) meet the performance criteria of Commission Regulation (EC) No 401/2006. The developed RCHC-SPE-based HPLC-FLD method allows the reliable quantification of ZEN in the range of 47-494 µg/kg for different types of edible vegetable oils, also for matrix-reach native oils. Due to the high efficiency, the significantly reduced matrix load helps to extend the lifetime of analytical equipment. Furthermore, the re-useability of the RCHC-SPE cartridges contributes to an eco-friendly approach and reduced analysis costs. To our knowledge, this is the first report on ZEN quantification in edible vegetable oils based on manual RCHC-SPE cartridges. Due to its high performance, the developed RCHC-SPE method is a promising alternative to the current European standard method EN 16924:2017 (HPLC-FLD part).

Electrochemical Behavior and Direct Quantitative Determination of Paclitaxel.

The electrochemical behavior and direct quantitative determination of paclitaxel, a poorly soluble drug made into microemulsion, were researched by cyclic voltammetry in acetate buffer solutions (pH = 4.0) at a glassy carbon electrode. The results show that the oxidation process is irreversible and controlled by diffusion. Moreover, the effects of anodic peak current (Ipa), anodic peak potential, scan rate, pH, and the electrochemical redox mechanism have been studied. The anodic peak current varied linearly with paclitaxel concentration in the range of 5 × 10-5 mol/L to 5 × 10-4 mol/L, and the detection limit was 9.15 × 10-8 mol/L. The results of RSD (0.90%) and recovery (99.22%-101.69%) were obtained. Additionally, it has been proved that one electron and one proton are involved in the electrochemical redox process. The present research has been successfully used to determine paclitaxel in pure and real samples, which further supported the electrochemical behavior investigation of paclitaxel and direct determination of micro-emulsion.

A hybrid variable selection and modeling strategy for the determination of target compounds in different spectral datasets.

In this paper, a hybrid technique is proposed to establish quantitative models for the determination of target compounds in different spectral datasets. The proposed hybrid method is the hybridization of interval partial least squares (iPLS) method with gradient descent (GD) algorithm. Here, the novelty of the proposed method is that the iPLS method is applied to variable selection and the GD algorithm is employed to establish quantitative models based on the selected optimal variables. In the application of the hybrid iPLS-GD method, the factors, i.e., the number of the interval for the iPLS method and the learning rate, the number of iterations for the GD method, that affect the quantitative accuracy of the method are optimized and determined. Then three spectral datasets, including the near-infrared spectroscopy (NIR) dataset, nuclear magnetic resonance (1H NMR) dataset and excitation-emission matrix fluorescence (EEM) dataset, are used to test and verify the performance of the iPLS-GD method. We compare the hybrid iPLS-GD method with the PLS and iPLS methods from the aspects of modeling ability and predictive ability. The results demonstrated that the iPLS-GD method can be used as an effective and promising tool for the determination of target compounds in complex samples in practice.