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A spectral transformation strategy based on the dynamic time warping algorithm is proposed to eliminate systematic errors between primary and secondary instruments.

A novel ion-molecule reactor based on traveling wave technology was developed for the first time. The proposed TW-IMR technology opens up a new avenue to enhance the performance of the existing PTR-TOFMS methods.

Laser spectroscopic imaging techniques have received tremendous attention in the field of cancer diagnosis due to their high sensitivity, high temporal resolution, and short acquisition time. However, the limited tissue penetration of the laser is still a challenge for the in vivo diagnosis of deep-seated lesions. Nanomaterials have been universally integrated with spectroscopic imaging techniques for deeper cancer diagnosis in vivo. The components, morphology, and sizes of nanomaterials are delicately designed, which could realize cancer diagnosis in vivo or in situ. Considering the enhanced signal emitting from the nanomaterials, we emphasized their combination with spectroscopic imaging techniques for cancer diagnosis, like the surface-enhanced Raman scattering (SERS), photoacoustic, fluorescence, and laser-induced breakdown spectroscopy (LIBS). Applications of the above spectroscopic techniques offer new prospects for cancer diagnosis.

Benzene compounds that are prevalent in the soil as organic pollutants mainly include BTEX (benzene, toluene, ethylbenzene, and three xylene isomers) and PAHs (polycyclic aromatic hydrocarbons). These pose a severe threat to many aspects of human health. Therefore, the accurate measurement of BTEX and PAHs concentrations in the soil is of great importance. The samples for analysis of BTEX and PAHs need to be suitable for the various detection methods after pretreatment, which include Soxhlet extraction, ultrasonic extraction, solid-phase microextraction, supercritical extraction, and needle trap. The detection techniques mainly consist of gas chromatography (GC), mass spectrometry (MS), and online sensors, and provide comprehensive information on contaminants in the soil. Their performance is evaluated in terms of sensitivity, selectivity, and recovery. Recently, there has been rapid progress in the pretreatment and analysis methods for the quantitative and qualitative analyses of BTEX and PAHs. Therefore, it is necessary to produce a timely and in-depth review of the emerging pretreatment and analysis methods, which is unfortunately absent from the recent literature. In this work, state-of-art extraction techniques and analytical methods have been summarized for the determination of BTEX and PAHs in soil, with a particular focus on the potential and limitations of the respective methods for different aromatic hydrocarbons. Accordingly, the paper will describe the basic methodological knowledge, as well as the recent advancement of pretreatment and analysis methods for samples containing BTEX and PAHs.

Glass beads with improved physical properties were obtained by high-frequency pulse laser fusion of sandstone samples, which improved the stability of the LIBS signal.

By combining a convolutional neural network (CNN) and laser induced breakdown spectroscopy, this study reports a multi-task analysis method to simultaneously solve the problems of lithological recognition and the quantitative analysis of seven major chemical elements in rock analysis.

Catalytic hairpin assembly (CHA) appears to be a particularly appealing nucleic acid circuit because of its powerful amplification capability, simple protocols, and enzyme-free and isothermal conditions, and can combine with various signal output modes for the biosensing of various analytes. Especially in the last five years, vast CHA related studies have sprung up. With the deep exploration of the CHA mechanism, some novel and excellent CHA strategies have been proposed; meanwhile the CHA cascade strategies with various amplification techniques further improve the analysis performance. Furthermore, diverse CHA based biosensors have been tactfully engineered and extensively employed in imaging applications in living cells and

A hybrid method combining discharge-assisted laser-induced breakdown spectroscopy (D-LIBS) with wavelet transform represents a highly promising detection technology for the quantitative determination of trace elements in liquids.

SARS-CoV-2, especially the variant strains, is rapidly spreading around the world. Rapid detection methods for the virus are crucial for controlling the COVID-19 epidemic. Herein, a localized surface plasmonic resonance (LSPR) biosensor based on Ω-shaped fiber optic (Ω-FO) was developed for dual assays of SARS-CoV-2 monitoring. Due to its strong ability to control the orientation and density, a new T-shaped aptamer exhibits enhanced binding affinity toward N proteins. After being combined on the fiber optic surface, the T-shaped aptamer sensitively captured N proteins of SARS-CoV-2 for a direct assay. Further, core-shell structured gold/silver nanoparticles functionalized with a T-shaped aptamer (apt-Ag@AuNPs) can amplify the signal of N protein detection for a sandwich assay. The real-time analytical feature of the dual assays endows time-dependent sensitivity enhancement behavior, which provides a guideline to save analytical time. With those characteristics, the LSPR biosensor has been successfully used to rapidly identify 39 healthy volunteers and 39 COVID-19 patients infected with the ancestral or variant SARS-CoV-2. With the help of simple pretreatment, we obtain a true negative rate of 100% and a true positive rate of 92.3% with a short analysis time of 45 min using the direct assay. Further, the LSPR biosensor could also broaden the detection application range to the surface of cold-chain foods using a sandwich assay. Thus, the LSPR biosensor based on Ω-FO was demonstrated to have broad application potential to detect SARS-CoV-2 rapidly.

Compared with high molecular weight chitosan (HMWC), low molecular weight chitosan (LMWC) has better solubility and biological activity. However, there is no quick and environmentally friendly to prepare low molecular chitosan. In this study, microwave induced plasma desorption/ionization (MIPDI) was used for the first time to prepare LMWC through the degradation processes of HMWC. The results showed that MIPDI has the most abundant ∙OH content at the gas-liquid interface, and the active particles represented by ∙OH can degrade chitosan with a molecular weight of 540 KDa into soluble chitosan (≤ 10 KDa), and the yield of soluble chitosan can reach 61% in 60 min. Moreover, a series of characterization results showed that the chain structure and crystal structure gradually degraded as the treatment time increased while the chemical structure of chitosan did not change significantly. Antibacterial experiments also indicated that the antimicrobial property of LMWC obtained by MIPDI degradation was improved. In short, this method has proven to be a new, fast and green processing method for the preparation of low molecular chitosan.

Exhaled breath and gastric-endoluminal gas (volatile products of diseased tissues) contain a large number of volatile organic compounds, which are valuable for early diagnosis of upper gastrointestinal (UGI) cancer. In this study, exhaled breath and gastric-endoluminal gas of patients with UGI cancer and benign disease were analyzed by gas chromatography-mass spectrometry (GC-MS) and ultraviolet photoionization time-of-flight mass spectrometry (UVP-TOFMS) to construct UGI cancer diagnostic models. Breath samples of 116 UGI cancer and 77 benign disease subjects and gastric-endoluminal gas samples of 114 UGI cancer and 76 benign disease subjects were collected. Machine learning (ML) algorithms were used to construct UGI cancer diagnostic models. Classification models based on exhaled breath for distinguishing UGI cancer from the benign group have area under the curve (AUC) of receiver operating characteristic curve values of 0.959 and 0.994 corresponding to GC-MS and UVP-TOFMS analysis, respectively. The AUC values of models based on gastric-endoluminal gas for UGI cancer and benign group classification are 0.935 and 0.929 corresponding to GC-MS and UVP-TOFMS analysis, respectively. This work indicates that volatolomics analysis of exhaled breath and gastric-endoluminal diseased tissues have great potential in early screening of UGI cancer. Moreover, gastric-endoluminal gas can be a means of gas biopsy to provide auxiliary information for the examination of tissue lesions during gastroscopy.

Atmospheric gas discharge is very likely to constrict into filaments and diffuse plasma formation is inefficient in most cases. Developing cost-efficient atmospheric diffuse plasma devices represents a significant challenge for high performance in biomedical decontamination and material processing. Here, we propose an alternative roadmap to produce a diffuse argon plasma jet by expanding and quenching the existing filamentary discharge at the initial or middle stage of streamer development. Possible mechanisms are summarized. With the gas flow velocity comparable to the ion drift one, enhancing ambipolar diffusion near the edge of the positive-streamer channel promotes the radial diffusion of newly-produced electrons, realizing the radial expansion of channel. Weakening electric field in front of the streamer head through head expansion and field offset, prevents the further development of streamer, leading to a positive-pseudo-streamer discharge. Reducing electric field in front of the negative-streamer head through ion compensation, impedes the initial growth of streamer, resulting in a negative pulseless glow discharge. The positive-pseudo-streamer and negative pulseless glow discharges function together to form the diffuse plasma jet. Streamer coupling theory is traditionally used to engineer the generation of diffuse plasmas in the regime preceding filamentary discharge, but this method remains inefficient. Here, an alternative route to cost-efficient diffuse plasma generation is proposed, involving the expansion and quenching of existing filamentary discharge.

Current industrial production of HNO3 relies on the Ostwald process via catalytic oxidation of NH3 , which is responsible for the vast bulk of CO2 emission. An attractive alternative route to HNO3 is direct N2 oxidation to aqueous HNO3 , which avoids the NH3 intermediate. Herein, we for the first time report a non-thermal plasma-assisted nitrogen fixation process characteristic of a large gas-liquid contact based on the water falling film dielectric barrier discharge, wherein HNO3 is produced directly from ambient air and H2 O at atmospheric pressure and room temperature without the presence of any catalytic material. By optimizing the plasma reaction conditions, a relatively high synthesis rate and low energy consumption was achieved at the same time with good product selectivity.

Sensitive and efficient monitoring of food-borne bacteria is of great importance for food safety control. Herein, a novel biosensor for highly sensitive detection of Staphylococcus aureus (S. aureus) was constructed by combining hybridization chain reaction (HCR) and nicking enzyme. Different from the upstream-downstream based circuit, the proposed biosensor integrated HCR circuit and three-way DNA junction nicking enzyme assisted signal amplification (3WJ-NEASA) into a virtuous circle of promotion. In the HCR-mediated 3WJ-NEASA sensing strategy, target DNA of S. aureus initiated the self-assembly between HCR hairpins (H1 and H2), which exposed the gap to capture molecular beacon (MB) and construct the 3WJ structure. Meanwhile, MB increased the stability of HCR nanowires and enhanced the efficiency of the HCR circuit, and thus more 3WJ-NEASA circuits were generated in HCR nanowires. Benefiting from the synergistic amplification coupling HCR and 3WJ-NEASA, this isothermal biosensor can detect as low as 6.7 pM of target DNA in one step within only 30 min. Furthermore, the HCR-mediated 3WJ-NEASA assay has been applied in the detection of S. aureus with a limit of detection (LOD) as low as 1.2 × 101 cfu mL−1, and has exhibited reliable practicability in spiked milk. It is the first time that a DNA biosensor combining HCR and 3WJ-NEASA for dual signal amplification was developed and has been adopted to the sensitive analysis of food-borne bacteria. Additionally, this strategy can serve as a universal platform for monitoring other analytes, and therefore possesses broad application prospects in food safety and environmental monitoring.

As an enzyme-free isothermal amplification strategy, catalytic hairpin assembly (CHA) is a very promising method for cell imaging. However, the practical application of CHA on intracellular miRNA imaging is limited by slow kinetics, insufficient amplification efficiency and strong interference in living cells. Herein, a localized catalytic hairpin assembly-based DNA nanomachine (LCHA nanomachine) was developed for the rapid, efficient and reliable fluorescence resonance energy transformation (FRET) imaging of miRNA-21 in living cells. The nanomachine was simply constructed by a one-step self-assembly process of a stator strand, a pair of hairpin probes from CHA and an AS1411 aptamer. Benefiting from the spatial-confinement effect, a pair of hairpin probes with high collision frequency was rapidly and efficiently assembled using miRNA-21 as the catalyst on a stator strand in every nanomachine. Compared with the free-CHA nanomachine, the LCHA nanomachine shortened the reaction time by 4.5-fold for reaching a plateau and significant improved the sensitivity by 7.6-fold for miRNA-21 detection in vitro. Importantly, the nanomachine was successfully applied for miRNA-21 imaging in living cells. With the assistance of an AS1411 aptamer and stator strand, the pair of hairpin probes with the ratio of 1 : 1 synchronously transported into a co-site of the cytoplasm, which ensures efficient imaging of trace miRNA-21. The signal output of the ratio of 6-carboxy-fluorescein (FAM) to tetramethyl rhodamine (TAMRA) intensities guaranteed reliability through avoiding the interference from different amounts of the nanomachine that enters into cells. Notably, the nanomachine can distinguish the miRNA-21 expression level in different kinds of cancer cells. By virtue of the advantages of simplicity, efficiency and reliability, the proposed strategy provides a powerful method for exploring the functions of miRNA and diagnosis of disease.

In this study, an innovative rapid detection technology for quickly screening and quantifying organophosphorus pesticides (OPPs) in vegetables was developed based on ambient micro-fabricated glow discharge plasma desorption/ionization mass spectrometry (MFGDP-MS), where Fe3O4/ZrO2 synthesized by a one-step coprecipitation was used for enrichment. It can not only effectively enrich OPPs, but can be separated by an external magnetic field, thereby simplifying the traditional steps of centrifugation and cleanup in sample preparation. The introduction of a temperature control system (TCS) can tackle the problem of the low ionization efficiency in MFGDP and expand its application range. Under optimized experimental conditions, the limits of detection (LODs) of the standard solution as low as 0.0068-0.7500 μg L-1 mm-2 were achieved, with relative standard deviations (RSDs) being less than 17.8%. Moreover, vegetable extracts were spiked to evaluate the accuracy of the method, and good recoveries (76.9-123.5%) were obtained. Remarkably, it took no more than 7 minutes from sample preparation to testing, resulting in significantly improved ability of the quantitative detection of plentiful samples.

In recent years, the low sensitivity caused by plasma quenching has restricted the development of LIBS technology in practical applications. In order to improve the sensitivity of the LIBS analysis method, we proposed a nanoparticle-assisted metal–organic framework (MOF) enhanced laser-induced breakdown spectroscopy, which combines a metal–organic framework (MOF), Au nanoparticles (AuNPs), and a portable LIBS instrument. Common metal ions in water were selected as the research objects to be tested by the proposed method. First, the synthesized three-dimensional (3D) MOF, namely [Zn2(L2)]2DMA·3H2O (complex 1) [H2L = 2-(imidazole-1-yl)terephthalic acid], was used to capture metal ions. Second, complex 1 loaded with metal ions induced AuNPs to aggregate on its surface. Third, the samples were attached to the glass substrate with double-sided tape and analyzed by LIBS. As a result, the limits of detection (LODs) for Pb and Cr obtained in this work were 8.0 and 4.2 ng mL−1, respectively, which were notably 8–10 times lower than those of the complex 1 enrichment method alone and 4 orders of magnitude lower than those of traditional LIBS methods. The significant improvement in LODs was also a new breakthrough for LIBS in liquid analysis. The great improvement in sensitivity can be mainly attributed to the unique microporous structure and the exposed metal binding sites of complex 1, which provide a huge space to accommodate metal ions. Also, the coupling action between laser electromagnetic fields and the surface plasmon of AuNPs greatly improved the laser ablation efficiency in the process of laser–matter interaction. Finally, the analysis of actual samples yielded good recoveries (92.8–99.0%) and reproducibility (lower than 11.9%), which shows the great potential of the combination of this method and portable LIBS in-field detection.

Heavy metal ion-induced water pollution has become a severe environmental problem in the world. Although providing a powerful technique for multi-element detection, laser-induced breakdown spectroscopy (LIBS) suffers from insufficient sensitivity for detecting heavy metal ions in aqueous solution due to water splashing and surface ripples. In this work, a simple and sensitive method called gold nanoparticle (AuNP) surface-enhanced laser-induced breakdown spectroscopy (SELIBS) was proposed to detect trace or ultra-trace heavy metal ions in aqueous solutions using a portable instrument. Firstly, the coulombic force allows the adhesion of negatively charged AuNPs and cationic amphiphilic solutions to capture heavy ions, thereby directly improving signal intensity. Interestingly, AuNP size-dependent signal enhancement was found in heavy metal ions through LIBS. To be specific, the signal intensity of Cu, Pb, and Cr increased by 9, 23, and 26 times, respectively, under the optimal AuNP size with a diameter of 13 nm compared to that of the pure target solution. Although the sizes of AuNPs did not affect the plasma temperature and electron density, the local electric field and coulombic force effectively enhanced the LIBS signal. Under optimized experimental conditions, the proposed method achieves sensitive detection of heavy metal ions of Cu, Pb, and Cr with low detection limits (LODs) of 5 ng mL−1, 22 ng mL−1, and 9 ng mL−1, respectively. Moreover, the recoveries of all analytical elements in environmental water samples were analyzed by the standard addition method. The recoveries were in the range of 92.70–100.19%, which further proves the feasibility and potential of surface-enhanced laser-induced breakdown spectroscopy of AuNPs in analyzing actual liquid samples.

Elucidating the boundary of tumors is significant for cancer diagnosis and cure. In this work, our group proposed an innovative method for the diagnostic analysis of clinical lung cancer tissues based on label-free imaging. The heterogeneity of multielements and molecular fragments was obtained simultaneously for three types of clinical samples containing different proportions of cancerous tissue by laser-induced breakdown spectroscopy (LIBS) imaging. The results of elemental imaging mainly reveal the differential distribution of Ca, Mg, Na, and Cu in cancer tissues, paracancer tissues, and normal tissues. In particular, for the first time, we discovered the spatial heterogeneity of molecular fragments between tumor and necrosis regions. The tumor regions produced more CN molecules during laser ablation, while almost no C2 molecules were produced. Further spatial segmentation shows the clearer boundary of the tumor and necrotic areas in cancer tissues and paracancer tissues. Our work indicates that the heterogeneity of multielements and molecular fragments has great potential as diagnostic biomarkers of tumors boundary.

Here, we show that molecular N2 was efficiently captured by organic arylium cations in a well-defined manner at ambient pressure and temperature, which was monitored by on-line mass spectrometry analysis. A kinetic picture was proposed to disclose the principle of the ion–molecule reaction behavior for exclusive aryldiazonium production. The observation has an implication for direct nitrogen fixation into an organic framework via the intermediacy of such cationic species.

An enzyme-mediated universal fluorescent biosensor template for rapid detection of pathogens was developed based on the strategy of a three-dimensional (3D) DNA walker and catalyzed hairpin assembly (CHA) reaction. In the bacterial recognition step, a strand displacement reaction between bacteria and the double-stranded complex caused the release of the walker strand. The walker strand triggered the DNA walker to produce an enzyme fragment, and the DNA walker used gold nanoparticles (AuNPs) as the track to provide an excellent DNA ligand anchoring area. In the CHA step, the enzyme fragment induced the CHA cycle to yield fluorescence signals, which greatly enhanced the conversion ratio of trigger DNA and the sensitivity of the fluorescent biosensor. The effect of the distance and density of the DNA ligand was studied by adjusting the length of poly-adenine (PolyA), and was further explored by its reaction kinetics. By comparing the maximum reaction rate (Vmax), Michaelis constant (Km) and turnover number (Kcat), the optimized PolyA probe was assessed and identified. In this work, the optimized PolyA-DNA probe exhibited an outstanding sensitivity in Salmonella typhimurium (S. ty) detection, which is 11.9 times and 4.6 times higher than those of the SH-DNA and the MCH treated SH-DNA. Meanwhile, a detection limit of 28.1 CFU mL-1 was achieved in Escherichia coli (E. coli) detection. Furthermore, the biosensor achieved good selectivity and high repeatability with recoveries of 91%-115% for real sample detection. Considering these advantages, this template has great potential as a routine tool for pathogen detection and has wide applications in the field of global public health and food safety.

The detection of Salmonella Typhimurium (S.typhimurium) is of great importance in food safety field. Colorimetric strategy is particularly appealing for S. typhimurium identification because of its user-friendliness and instrument-free. However, the existing colorimetric strategies still meet the challenges of low sensitivity, tedious nucleic acid extraction and expensive labeling processes. Herein, a high sensitivity and label-free colorimetric sensing strategy for S. typhimurium detection without nucleic acid extraction is constructed. Specifically, the proposed strategy is based on three-way junction (3WJ) DNA branched structure combined with nicking enzyme signal amplification (NESA). In the presence of target, cascaded signal amplification is initiated through a series of toehold-mediated strand displacement reactions (TSDRs) to recycle the trigger DNA causing formation of the numerous 3WJ DNA branched structures (3WJ-TSDRs). Then, the branches of 3WJ-TSDRs are fully utilized to hybridize with the DNAzyme signal probes to initiate NESA in the presence of Nt. BbvCI, which making every branch has a function of signal amplification. Finally, DNAzyme signal probes (green) were completely split into two fragments (colorless). The application of NESA in the branches of 3WJ-TSDRs offers a highly sensitive detection of S. typhimurium with a low limit of detection of 42 CFU mL−1. Besides, the colorimetric sensing strategy also shows strong anti-interference. The capability of the colorimetric sensing strategy in spiked samples was also investigated, showing a more intuitive results and fast detection in compare with the traditional plate counting method. With these characteristics, the proposed sensing strategy based on 3WJ-TSDRs and NESA is a promising tool for new point-of-care (POC) applications in food safety.

Chronic fructose consumption and vitamin D deficiency (VDD) diet have been linked to the pandemic of metabolic syndrome (MetS) and nonalcoholic fatty liver disease (NAFLD). The metabolic mechanisms remain unclear. This study is to explore metabolic changes of mice fed with high fructose syrup and VDD diet in the biogenesis of MetS and NAFLD. C57BL/6J mice were treated with four conditions for 28 weeks: control (standard chow and sterile water), fructose drinking (FD, standard chow and 20 g/100 mL fructose in drinking water), VDD (standard chow with VD depleted and sterile water), and FD+VDD. Metabolites in the serum and liver of mice were analyzed by gas chromatography-mass spectrometry combined with trimethylsilyl derivatization. The histological results indicated that one-hit from long-term fructose drinking led to mild MetS, and a combination with VDD diet induced hepatic steatosis, inflammatory lesion, and interstitial fibrosis in mice, showing significant nonalcoholic steatohepatitis features. Metabolomics analysis showed significant changes in amino acids and short-chain organic acids in response to fructose drinking. VDD diet led to significant increase of hepatic fatty acids, which was consistent with the hepatic morphology of fat deposition. This work demonstrated a concert effect of FD and VDD in promoting MetS and NAFLD through changing in vivo metabolism and signaling pathways. And metabolomics analysis could provide early warnings for the biogenesis of MetS and NAFLD. Importantly, vitamin D supplementation in the diet can balance the metabolic disorders caused by excessive fructose intake.

The role of elements in physiological and pathological metabolic processes remains an unmet challenge in biomedical research and clinical applications. Herein, a visual elemental imaging of tumor tissue platform of a laser-induced breakdown spectroscopy (LIBS) was developed to initially understand anti-tumor mechanisms. The relative enrichment degree and heterogeneous spatial distributions of four elements (calcium, sodium, copper, and magnesium) of tumor tissue from different treated could be easy to visualize. In particular, significant differences in the distribution of elements were observed in tumor tissue from drug-loading complex (hydrogel/DOX) treatment group. Correspondingly, the analysis of histopathological morphology showed that the morphology and density of tumor tissue in hydrogel/DOX treatment group changed obviously by using hematoxylin and eosin (H&E) staining assay, meanwhile cleaved caspase-3 (caspase-3) and tumor necrosis factor (TNF-α) were expressed at high levels tumors tissue in hydrogel/DOX treatment group by using immunohistochemical (IHC) staining. These results would endow different biological elements with incredible potential to study the mechanisms of anti-tumor, which opens new direction and perspectives for the multi-elemental mapping of biological tissues, especially in clinic application. The integrated platform of DNA nanohydrogel drug carrier-based anti-tumor treatment combined with LIBS elemental imaging, via tail intravenous injection of saline, hydrogel, DOX, and hydrogel/DOX in breast cancer xenograft tumor mice. (A) The workflow is outlined starting from nanohydrogel drug carrier-based anti-tumor treatment. (B) Schematic diagram of LIBS imaging platform.

Current rapid bacterial detection methods are dedicated to the classification and identification of bacteria. However, there is still a lack of a method for specific quantitative analysis of certain bacteria. In this work, a method based on elemental-tags laser-induced breakdown spectroscopy (ETLIBS) was developed for the rapid and specific quantitative analysis of Salmonella typhimurium (S. ty). Elemental tags were first synthesized by assembling copper nanoparticles (CuNPs) with poly(thymine) (poly-T) template that linked with the aptamer sequence. Under the specific recognition of the aptamer, S. ty can be fully combined with the elemental tags within 30 min to achieve labeling. Afterward, the silicon nanowires (SiNWs) array modified with Au@Ag nanoparticles (SiNWs-Au@Ag) was employed to capture S. ty in 30 min. Attributed to the rapid analysis superiority of ETLIBS mapping, 100 spectra of SiNWs-Au@Ag/S. ty/CuNPs can be obtained in 5 min. It was found that the peak area of the Cu(I) atomic emission line at 324.75 nm fitted by the Voigt profile was linearly related to the bacterial concentration in the range of 102-106 CFU/mL(R2 = 0.978). Furthermore, ETLIBS mapping achieved a low limit of detection (LOD) of 61 CFU/mL and showed good selectivity to S. ty compared with other bacteria. Besides, the method exhibited preeminent detection performance in spiked samples with the recoveries of 87-113%. With the advantages of rapidity, high efficiency, and specificity, the proposed method is expected to be a powerful tool for bacterial detection.