Direct Screening Research Articles

The EU’s foreign direct investment screening mechanism two years after implementation

Foreign direct investment (FDI) is widely welcomed as it can improve the standard of living in the recipient country. However, depending on the target sector and/or the nationality of the investor, FDI may pose a risk to national security; this is why some countries have adopted screening procedures. Since 2020 the European Commission has coordinated its member states in screening FDI, but not all EU members have national screening mechanisms in place. Moreover, those mechanisms that do exist are not homogenous, for example, in their identification of protected sectors. This incompleteness and heterogeneity are weaknesses that undermine the security of the EU due to the high level of integration within the single market.

Foreign Direct Investment Screening in the EU – Future Perspectives and Implied Obligations

Regulation (EU) 2019/452 of the European Parliament and of the Council of 19 March 2019 establishing a framework for the screening of foreign direct investments into the Union establishes a framework for the screening by Member States of foreign direct investments into the Union on the grounds of security or public order. In addition, it introduces two separate cooperation mechanisms, depending on whether the foreign direct investment is undergoing screening. Although it largely provides for non-controversial procedural requirements (relating to transparency, non-discrimination, relevant time frames, coordination, confidentiality, assistance and mutual communication), Regulation 2019/452 also contains specific implied obligations, which may prove to be especially burdensome for the Member States which have no foreign direct investment screening legislation. Regulation 2019/452 does not expressly oblige Member States to adopt a foreign direct investment screening mechanism. Nevertheless, the Commission’s activities and communications seem to suggest that the ultimate goal sought to be achieved is to have all Member States introduce national foreign direct investment legislation in the foreseeable future.

A new attempt to develop fermented milk with low whey protein allergenic potential using a top-down method

The development process of fermented milk products with low-allergenic potential usually begins with the isolation and screening of strains. However, this bottom-up screening method is time-consuming and heavy workload. Once the target strain is not screened, it will cause a waste of time and money. This experiment adopted a top-down method to screen strains quickly and efficiently and prepared a fermented milk with low whey protein allergenic potential. The traditional fermented dairy products from Xinjiang are a good source for screening functional strains. We took 59 traditional fermented dairy products from Xinjiang as samples. The antigenicity of α-lactalbumin (α-LA) and β-lactoglobulin (β-LG), the main allergenic proteins which are easy to cause human allergy, were taken as the indicators. Through direct screening of the fermented dairy product with the lowest antigenicity, the BZ-21 sample was selected as the target sample. The 13 strains isolated from the BZ-21 sample were safe, and the antigenicity and immunoglobulin E (IgE)-binding capacity of the fermented milk prepared under optimized fermentation conditions were reduced. The results showed that the top-down screening method used in this experiment was effective, and these 13 strains will be potential probiotics in the development of low-allergenic dairy products.

Discovery of diphenyl ether–degrading Streptomyces strains by direct screening based on ether bond–cleaving activity

Diphenyl ethers (DEs), which are widely used in the agricultural and chemical industries, have become hazardous contaminants in the environment. Although several DE-degrading bacteria have been reported, discovering new types of such microorganisms could enhance understanding of the degradation mechanism in the environment. In this study, we used a direct screening method based on detection of ether bond-cleaving activity to screen for microorganisms that degrade 4,4'-dihydroxydiphenyl ether (DHDE) as a model DE. Microorganisms isolated from soil samples were incubated with DHDE, and strains producing hydroquinone via ether bond cleavage were selected using hydroquinone-sensitive Rhodanine reagent. This screening procedure resulted in the isolation of 3 bacteria and 2 fungi that transform DHDE. Interestingly, all of the isolated bacteria belonged to one genus, Streptomyces. To our knowledge, these are the first microorganisms of the genus Streptomyces shown to degrade a DE. Streptomyces sp. TUS-ST3 exhibited high and stable DHDE-degrading activity. HPLC, LC-MS, and GC-MS analyses revealed that strain TUS-ST3 converts DHDE to its hydroxylated analogue and generates hydroquinone as an ether bond-cleavage product. Strain TUS-ST3 also transformed DEs other than DHDE. In addition, glucose-grown TUS-ST3 cells began to transform DHDE after incubation with this compound for 12h, and produced 75μM hydroquinone in 72h. These activities of streptomycetes may play an important role in DE degradation in the environment. We also report the whole genome sequence of strain TUS-ST3.

Development of an oil-sealed anaerobic fermentation process for high production of γ-aminobutyric acid with Lactobacillus brevis isolated by directional colorimetric screening

γ-aminobutyric acid (GABA) is an important inhibitory neurotransmitter in the brain with many physiological functions. Therefore, this work establishes an efficient biosynthesis process to achieve the high production of food-grade GABA. Firstly, we adopted a directional colorimetric screening method and then obtained the strain Lactobacillus brevis (Lb. brevis) CGMCC 24975 with 22.61 g/L GABA in shake flasks, much higher than Lb. brevis ATCC 367 (3.07 g/L) due to its more efficient and stable expression of its glutamate decarboxylase (GAD) system. After exploring the effects of optimal fermentation conditions and oxygen on GABA production, we found that anaerobic fermentation could increase GABA production by up-regulating gad operon expression and activating GADase. Finally, we developed an oil-sealed anaerobic fermentation process with 157.90 g/L GABA in a 5 L bioreactor, which was 6.98-fold of that in shake flasks. This work includes a complete process from screening GABA-producing strains to developing efficient fermentation processes, laying the foundation for producing food-safe GABA.

A73 EFFECT OF FECAL IMMUNOCHEMICAL TEST CUT-OFF LEVELS ON ADENOMA DETECTION RATE: A SYSTEMATIC REVIEW AND META-ANALYSIS

Abstract Background Adenoma detection rate (ADR) is higher after a positive fecal immunochemical test (FIT) compared to direct screening colonoscopy. Purpose This meta-analysis evaluated how ADR, the rates of advanced adenoma detection (AADR), colorectal cancer detection (CDR), and sessile serrated lesion detection (SSLDR) are affected by different FIT positivity thresholds. Method We searched MEDLINE, EMBASE, CINAHL, and EBM Reviews databases for studies reporting ADR, AADR, CDR, and SSLDR according to different FIT cut-off values in asymptomatic average-risk individuals aged 50 to 74 years old. Data were stratified according to sex, age, time to colonoscopy, publication year, continent, and FIT kit type. Study quality, heterogeneity, and publication bias were assessed. Result(s) Overall, 4280 articles were retrieved and fifty-seven studies were included (332,281 FIT-positive colonoscopies; mean cecal intubation 96.2%; mean age 60.7 years; male 52.1%). Mean ADR was 55.9% (95% CI 53.2% – 58.6%), while mean AADR, CDR, and SSLDR were 27.2% (95% CI 24.3% – 30.1%), 5.4% (95% CI 4.7% – 6.1%), and 3.0% (95% CI 1.7% – 4.6%), respectively. For each 20 μg Hb/g increase in FIT cut-off level, ADR increased by 2.87% (95% CI 1.70% – 4.05%, p < 0.01), AADR increased by 3.90% (95% CI 2.76% – 5.05%, p < 0.01) and CDR by 1.46% (95% CI 0.66% – 2.24%, p < 0.01). Many detection rates were greater amongst males and Europeans. Conclusion(s) ADRs in FIT-positive colonoscopies are influenced by the adopted FIT positivity threshold, and identified targets, importantly, proved to be higher than most current societal recommendations. Please acknowledge all funding agencies by checking the applicable boxes below None Disclosure of Interest None Declared

Video Sequence Segmentation Based on K-Means in Air-Gap Data Transmission for a Cluttered Environment

An air gap is a technique that increases the security of information systems. The use of unconventional communication channels allows for obtaining communication that is of interest to the attacker as well as to cybersecurity engineers. One of the very dangerous forms of attack is the use of computer screen brightness modulation, which is not visible to the user but can be observed from a distance by the attacker. Once infected, the computer can transmit data over long distances. Even in the absence of direct screen visibility, transmission can be realized by analyzing the modulated reflection of the monitor's afterglow. The paper presents a new method for the automatic segmentation of video sequences to retrieve the transmitted data that does not have the drawbacks of the heretofore known method of growth (filling) based on an analysis of adjacent pixels. A fast camera operating at 380 fps was used for image acquisition. The method uses the characteristics of the amplitude spectrum for individual pixels, which is specific to the light sources in the room, and clustering with the k-means algorithm to group pixels into larger areas. Then, using the averaging of values for individual areas, it is possible to recover the 2-PAM (pulse-amplitude modulation) signal even at a 1000 times greater level of interference in the area to the transmitted signal, as shown in the experiments. The method does not require high-quality lenses.

Online SFE-SFC-MS/MS colony screening: A high-throughput approach for optimizing (-)-limonene production

Conventional analysis of microbial bioproducers requires the extraction of metabolites from liquid cultures, where the culturing steps are time consuming and greatly limit throughput. To break through this barrier, the current study aims to directly evaluate microbial bioproduction colonies by way of supercritical fluid extraction-supercritical fluid chromatography-triple quadrupole mass spectrometry (SFE-SFC-MS/MS). The online SFE-SFC-MS/MS system offers great potential for high-throughput analysis due to automated metabolite extraction without any need for pretreatment. This is the first report of SFE-SFC-MS/MS as a method for direct colony screening, as demonstrated in the high-throughput screening of (-)-limonene bioproducers. Compared with conventional analysis, the SFE-SFC-MS/MS system enables faster and more convenient screening of highly productive strains.

Potential Biocontrol Activities of Populus Endophytes against Several Plant Pathogens Using Different Inhibitory Mechanisms

The plant microbiome can be used to bolster plant defense against abiotic and biotic stresses. Some strains of endophytes, the microorganisms within plants, can directly inhibit the growth of plant fungal pathogens. A previously isolated endophyte from wild Populus (poplar), WPB of the species Burkholderia vietnamiensis, had robust in vitro antifungal activity against pathogen strains that are highly virulent and of concern to Pacific Northwest agriculture: Rhizoctonia solani AG-8, Fusarium culmorum 70110023, and Gaemannomyces graminis var. tritici (Ggt) ARS-A1, as well as activity against the oomycete, Pythium ultimum 217. A direct screening method was developed for isolation of additional anti-fungal endophytes from wild poplar extracts. By challenging pathogens directly with dilute extracts, eleven isolates were found to be inhibitory to at least two plant pathogen strains and were therefore chosen for further characterization. Genomic analysis was conducted to determine if these endophyte strains harbored genes known to be involved in antimicrobial activities. The newly isolated Bacillus strains had gene clusters for production of bacillomycin, fengicyn, and bacillibactin, while the gene cluster for the synthesis of sessilin, viscosin and tolaasin were found in the Pseudomonas strains. The biosynthesis gene cluster for occidiofungin (ocf) was present in the Burkholderia vietnamiensis WPB genome, and an ocf deletion mutant lost inhibitory activity against 3 of the 4 pathogens. The new isolates lacked the gene cluster for occidiofungin implying they employ different modes of action. Other symbiotic traits including nitrogen fixation, phosphate solubilization, and the production of auxins and siderophores were investigated. Although it will be necessary to conduct in vivo tests of the candidates with pathogen-infected agricultural crops, the wild poplar tree microbiome may be a rich source of beneficial endophyte strains with potential for biocontrol applications against a variety of pathogens and utilizing varying modes of action.

Optimisation of Highly Efficient Composite Blades for Retrofitting Existing Wind Turbines

Currently, wind energy, a reliable, affordable, and clean energy source, contributes to 16% of Europe’s electricity. A typical modern wind turbine design lifespan is 20 years. In European Union countries, the number of wind turbines reaching 20 years or older will become significant beyond 2025. This research study presents a methodology aiming to upgrade rotor blades for existing wind turbines to extend the turbine life. This methodology employs blade element momentum theory, finite element analysis, genetic algorithm, and direct screen methods to optimise the blade external geometry and structural design, with the main objective to increase the blade power capture efficiency and enhance its structural performance. Meanwhile, the compatibility between the blade and the existing rotor of the wind turbine is considered during the optimisation. By applying this methodology to a 225 kW wind turbine, an optimal blade, which is compatible with the turbine hub, is proposed with the assistance of physical testing data. The optimised blade, which benefits from high-performance carbon-fibre composite material and layup optimisation, has a reduced tip deflection and self-weight of 48% and 31%, respectively, resulting in a significant reduction in resources, while improving its structural performance. In addition, for the optimised blade, there is an improvement in the power production of approximately 10.5% at a wind speed of 11 m/s, which results in an increase of over 4.2% in average annual power production compared to the existing turbine, without changing the blade length. Furthermore, an advanced aero-elastic-based simulation is conducted to ensure the changes made to the blade can guarantee an operation life of at least 20 years, which is equivalent to that of the reference blade.

Foreign Direct Investment Screening Mechanisms in Europe and Beyond: Navigating Uncharted Territory

Foreign Direct Investment Screening Mechanisms in Europe and Beyond: Navigating Uncharted Territory

A study on normalization of hypothyroxinemia in neonates below 34 weeks of gestation

Objectives: The aim of the study was to estimate the time required for normalization of hypothyroxinemia of prematurity in neonates below 34 weeks of gestation. Material and Methods: A retrospective study was conducted in neonates born below 34 weeks of gestation, between January 2015 and December 2016. Data were collected on free thyroxine (fT4) and thyroid-stimulating hormone (TSH) levels, tested on days 3, 14, 28, and 42. Gestational age, birth weight, use of antenatal steroids, mechanical ventilation, and various preterm morbidities, along with development at 18 months of corrected age, were comparatively analyzed in neonates with and without hypothyroxinemia. The median time for normalization of fT4 in all these variables was estimated. Results: On day 3, low fT4 was noted in 69 (37.7%) out of 183 neonates born below 34 weeks of gestation; all had normal TSH levels. Hypothyroxinemia showed statistically significant association with gestational age, birth weight, antenatal steroid use, respiratory distress syndrome, invasive ventilation, shock, sepsis, patent ductus arteriosus (PDA), anemia during stay in neonatal intensive care unit, and development at 18 months. Median time for normalization was 14 days in most of the neonates, and 28 days in those with <28 weeks of gestational age, weight of <1000 g and with shock, anemia, and PDA. Two infants with hypothyroxinemia received therapy with levothyroxine at 6 weeks for a short duration, as TSH was high. Conclusion: Hypothyroxinemia of prematurity takes 14–28 days to normalize based on maturity, weight, and illnesses. This study recommends serum fT4 testing at 2 weeks of life, provided congenital hypothyroidism was ruled out by 3–4 days of life, using direct blood spot card metabolic screening.

Directional screening and identification of potential cytotoxic components from Achnatherum inebrians by a combination of surface palsmon resonance and chromatography

ObjectiveTo establish a method for directional screening of the cytotoxic components from the medicinal herb of Achnatherum inebrians by a combination of surface plasmon resonance (SPR) biosensor and chromatographic isolation technology. MethodsUnder the guidance of bioactive assessment based on binding abilities between objects and the α-Mannosidase (α-Man) target, the active components from different solvents extracts, different polar extraction parts and fractions were screened orderly and directionally using SPR. Components with a high binding ability to α-Man can be precisely oriented in a narrower fractions range and are easy to isolate. Three human cancer cells were used to evaluate the cytotoxic activity of component with the highest affinity to α-Man. ResultsEight compounds were isolated and identificated from A. inebrians for the first time. Deoxyvasicinone possessed the highest affinity to α-Man among them. Moreover, deoxyvasicinone showed good effects on inhibited proliferation of human hepatoma cells HepG2 (IC50 = 5.7 μmol/L), human breast cancer cells MCF7 (IC50 = 7.21 μmol/L) and human lung cancer cells HCC827 (IC50 = 0.75 μmol/L), respectively. In particular, its inhibitory effect on HCC827 was stronger than the positive drug gefitinib (IC50 = 1.65 μmol/L). ConclusionA comprehensive strategy of directional screening potential cytotoxic components from herb based on biomolecular interaction and chromatography was established. Deoxyvasicinone as an effective anti-cancer component was initially isolated from A. inebrians. It is expected that this screening strategy could provide new perspectives for rapid screening and identification of active components from natural plants with the complex matrix.

Development of loop-mediated isothermal amplification (LAMP) assay for rapid and direct screening of yellowfin tuna (Thunnus albacares) in commercial fish products.

Tuna is one of the most widely consumed fish on the European market, being available in various consumable options. Among them, Thunnus albacares, also called yellowfin tuna, is a delicacy and is consumed by millions of people around the world. Due to its comparatively high cost and demand, it is more vulnerable to fraud, where low-cost tuna or other fish varieties might be replaced for economic gain. In this study, a loop-mediated isothermal amplification (LAMP) assay was developed and validated for targeting the mitochondrial cytochrome b gene for fast and direct detection of Thunnus albacares, which is a valuable tuna species. The analytical specificity was confirmed using 18 target samples (Thunnus albacares) and 18 samples of non-target fish species. The analytical sensitivity of the LAMP assay was 540 fg DNA per reaction. In addition, a simple and direct swab method without time-consuming nucleic acid extraction procedures and the necessity for cost-intensive laboratory equipment was performed that allowed LAMP detection of Thunnus albacares samples within 13 minutes. Due to its high specificity and sensitivity, the LAMP assay can be used as a rapid and on-site screening method for identifying Thunnus albacares, potentially providing a valuable monitoring tool for food authenticity control by the authorities.

Study on microbial community of "green-covering" Tuqu and the effect of fortified autochthonous Monascus purpureus on the flavor components of light-aroma-type Baijiu.

"Green-covering" Tuqu (TQ), as one of Xiaoqu, is a special fermentative starter (also known as Jiuqu in Chinese) that originated in southern China and is characterized by a layer of green mold covering (Aspergillus clavatus) the surface and (sometimes) with a red heart. It plays a vital role in producing light-aroma-type Baijiu (LATB). However, to date, the microbiota that causes red heart of TQ remain largely unexplored, and it is still unclear how these microbiota influence on the quality of LATB. In this study, two types of TQ, one with a red heart (RH) and another with a non-red heart (NRH), were investigated by high throughput sequencing (HTS) and directional screening of culture-dependent methods. The obtained results revealed the differences in the microbial communities of different TQ and led to the isolation of two species of Monascus. Interestingly, the results of high performance liquid chromatography (HPLC) detection showed that citrinin was not detected, indicating that Monascus isolated from TQ was no safety risk, and the contents of gamma-aminobutyric acid in the fermented grains of RH were higher than that of NRH during the fermentation. Selecting the superior autochthonous Monascus (M1) isolated from the TQ to reinoculate into the TQ-making process, established a stable method for producing the experimental "red heart" Tuqu (ERH), which confirmed that the cause of "red heart" was the growth of Monascus strains. After the lab-scale production test, ERH increased ethyl ester production and reduced higher alcohols production. In addition, Monascus had an inhibitory effect on the growth of Saccharomyces and Aspergillus. This study provides the safe, health-beneficial, and superior fermentation strains and strategies for improving the quality of TQ and LATB.

Viscoelastic Metal-in-Water Emulsion Gel via Host-Guest Bridging for Printed and Strain-Activated Stretchable Electrodes.

Stretchable conductive electrodes that can be made by printing technology with high resolution is desired for preparing wearable electronics. Printable inks composed of liquid metals are ideal candidates for these applications, but their practical applications are limited by their low stability, poor printability, and low conductivity. Here, thixotropic metal-in-water (M/W) emulsion gels (MWEGs) were designed and developed by stabilizing and bridging liquid metal droplets (LMDs) via a host–guest polymer. In the MWEGs, the hydrophilic main chain of the host–guest polymers emulsified and stabilized LMDs via coordination bonds. The grafted cyclodextrin and adamantane groups formed dynamic inclusion complexes to bridge two neighboring LMDs, leading to the formation of a dynamically cross-linked network of LMDs in the aqueous phase. The MWEGs exhibited viscoelastic and shear-thinning behavior, making them ideal for direct three-dimensional (3D) and screen printing with a high resolution (∼65 μm) to assemble complex patterns consisting of ∼95 wt % liquid metal. When stretching the printed patterns, strong host–guest interactions guaranteed that the entire droplet network was cross-linked, while the brittle oxide shell of the droplets ruptured, releasing the liquid metal core and allowing it to fuse into continuous conductive pathways under an ultralow critical strain (<1.5%). This strain-activated conductivity exceeded 15800 S/cm under a large strain of 800% and exhibited long-term cyclic stability and robustness.

Evaluation of Low Concentration Dithiothreitol for Negating the Monoclonal Anti-CD38 Interference with Transfusion Compatibility Testing

To investigate the effectiveness and safety of low concentration dithiothreitol (DTT) in removing the interference of monoclonal anti-CD38 on transfusion compatibility testing, and develop a reasonable clinical transfusion strategy. The blood type, direct antiglobulin testing (DAT) and antibody screening were tested according to standard methods. Antibody screening cells and donor's red blood cells were treated by DTT 0.2, 0.1, 0.05, 0.02, 0.01 and 0.005 mol/L, and antibody screening and cross-matching of serums after monoclonal anti-CD38 treatment were performed by anti-human globulin card. The 0.01 mol/L DTT at 37℃ for 30 minutes could remove the effect of monoclonal anti-CD38 on antibody screening and cross-matching, meanwhile retain their effectiveness in detecting anti-K, anti-LW, anti-JMH, anti-Lub, anti-e, anti-Dia and anti-Jka alloantibodies. All the 10 patients had no acute or delayed haemolytic transfusion reactions and their routine blood tests showed that the red blood cells transfusion was effective. The 0.01 mol/L DTT is a safe and effective method for removing the interference of monoclonal anti-CD38 with transfusion compatibility testing, while retaining the ability to detect most alloantibodies.

Predictors of reported alcohol intake during the first and second waves of the COVID-19 pandemic in Canada among middle-aged and older adults: results from the Canadian Longitudinal Study on Aging (CLSA)

ObjectiveTo examine proportions and predictors of change in alcohol intake and binge drinking during the first 2 waves of the COVID-19 pandemic among middle-aged and older participants in the Canadian Longitudinal Study on Aging (CLSA) COVID-19 Questionnaire Study.MethodsA total of 28,559 (67.2% of the potential sample) CLSA participants consented to the study with 24,114 completing the exit survey (fall 2020). Descriptive statistics and logistic regressions to examine predictors of change (increase or decrease) in alcohol intake and binge drinking were performed.ResultsAmong alcohol users, 26.3% reported a change in alcohol consumption during the first 10 months of the pandemic. Similar percentages increased (13.0%) or decreased (13.3%) consumption. In our mutually adjusted logistic regression model, odds of change in alcohol intake were greater for younger age, higher income, current cannabis smoker, positive screen for depression, anxiety, and loneliness. The magnitude of all associations for decreased intake was less than that of increased intake, and the directions were opposite for male sex and age. Predictors of current binge drinking (27.9% of alcohol users) included male sex, younger age, higher education and income, cannabis use, depression, and anxiety.ConclusionFactors predictive of potentially worrisome alcohol use (i.e. increased intake, binge drinking) included younger age, sex, greater education and income, living alone, cannabis use, and worse mental health. Some of these factors were also associated with decreased intake, but the magnitudes of associations were smaller. This information may help direct screening efforts and interventions towards individuals at risk for problematic alcohol intake during the pandemic.

Development of Screen-Printable Nafion Dispersion for Electrochemical Sensor

A modified Nafion dispersion for direct screen printing was developed and characterized. Commercial Nafion solution was neutralized to its sodium form and the solvent was replaced by a screen-printing-compatible solvent. The modified Nafion dispersion has optimized rheological properties including shear-thinning behavior, thixotropy, and moderate yield stress. The elemental composition and chemical states of the modified Nafion were characterized by X-ray photoelectron spectroscopy (XPS). The chemical state and composition of the modified Nafion remained the same as those of commercial Nafion. The crystallinity of the cured membranes of both Nafion dispersions was evaluated by X-ray diffraction spectroscopy (XRD). It was found that the modified Nafion has lower crystallinity as compared to the commercial Nafion, and the degree of crystallinity increases with an increase in the curing temperature. The modified material was screen printed onto a commercial sensor as a cation-exchange membrane for the detection of lead Pb(II) in buffer solutions. The sensor showed good linearity in the range of 5 µg/L to 500 µg/L, with a detection limit of 2 µg/L for Pb(II) by square-wave anodic stripping voltammetry. This work demonstrates the possibility of printing Nafion on a large scale in a wide range of fields, such as printed electrochemical sensors.

Optimization of diffuse reflectance spectroscopy measurements for direct and rapid screening of pesticides: A case study of spinach

Although diffuse reflectance spectroscopy (DRS) measurements can be collected rapidly and simultaneously, the resulting datasets are imbalanced and redundant due to the highly correlated spectral features collected on relatively few samples. Consequently, modelling these datasets using machine learning (ML) techniques is challenging and necessitates longer training times and more computational resources. Furthermore, models developed with such data are frequently prone to overfitting, resulting in promising but often non-reproducible results. We demonstrate the advantage of using an eigenvector decomposition principal component analysis (PCA) in reducing the dimensionality and data mining of DRS measurements in the short near-infrared region (750–900 nm). A total of 547 DRS measurements consisting of 151 wavelengths were acquired from spinach samples sprayed with two different pesticides and control samples. The measurements were later preprocessed with a Savitzky-Golay filter and multiplicative scatter analysis. After performing PCA on the preprocessed data, two principal components (PCs) that explained 77% of the cumulative variance and maximized the interclass variation were extracted and used as inputs to three ML models namely; artificial neural networks, support vector machine and random forest, to classify the samples. Re-sampling was used to tune the models and avoid overfitting. The performance of the models was compared using raw DRS data, pre-processed (PP) DRS data, and PCs data. The results show that pesticide classification using PCs data requires the least amount of training time (average 2.4 s) for all the models, and achieves 100% classification accuracy. In addition, it was observed that spectral data pre-processing improves accuracy and training time when compared to using raw spectral data. These findings are particularly encouraging since they demonstrate the possibility of developing rapid and accurate classification models for screening pesticide residues in fresh produce based on DRS measurements with minimal computational resources.