The social effects of energy regulation: Energy-consuming rights trading system and corporate labor demand.

Although it is a key measure to control energy consumption and promote the improvement of industrial structure, energy market allocation reform has rarely been concerned with its impact on employment, an important livelihood issue. To fill this gap, this paper takes the Energy-Consumption Rights Trading System (ECRTS) enacted by China in 2016 as a research background and adopts the difference-in-difference approach to explore the effects and mechanisms of the ECRTS on enterprise labor demand. The results show that the ECRTS significantly reduces firms' labor demand, particularly for low-skilled workers, through both production scale effects and technological upgrading effects. Specifically, the ECRTS has led to a decrease in sales revenues and an increase in labor productivity, thereby reducing firms' labor demand. Heterogeneity tests indicate that the ECRTS has a greater impact on employment in firms with lower energy-consumption intensity, domestic capital injections, weaker innovation capacity, and lower market power. The paper also explores the welfare consequences of the policy, finding that while the ECRTS does not improve the environmental performance of firms it does not pass on the compliance costs of regulations to incumbent workers. The overall impact is neutral. This paper extends the study of the economic consequences of the ECRTS and has implications for other developing countries in reconciling energy regulation and employment.

Significance of Multiple Lymphocyte-to-C-Reactive Protein Ratios in Predicting Long-Term Major Cardiovascular Adverse Events in Emergency Percutaneous Coronary Intervention Patients with ST-Segment Elevation Myocardial Infarction.

Aim: The high morbidity and mortality associated with ST-segment elevation myocardial infarction (STEMI) are an urgent concern. This study aimed to investigate the ratio of lymphocyte count to C-reactive protein ratio (LCR) in multiple measurements in the perioperative period, exploring dynamic changes as the best predictor of major adverse cardiovascular events (MACE) in STEMI patients. Methods: We enrolled 205 STEMI patients, conducting blood counts at admission, 24 hours post-percutaneous coronary intervention (PCI), and at discharge. Cox proportional risk models evaluated factors independently associated with STEMI prognosis. The receiver operating characteristic (ROC) curve and the De-Long test determined the best predictor. Kaplan-Meier analysis assessed the prognostic value of LCR for STEMI patients. Statistical differences and correlations between LCR at 24 hours post-PCI and cardiovascular disease risk factors were also analyzed. Results: Gensini score (HR, 1.015; 95% CI, 1.007-1.022; P < 0.001), total stent length (HR, 1.015; 95% CI, 1.002-1.029; P=0.025), lipoprotein (a) (HR, 1.001; 95% CI, 1.000-1.002; P=0.043), LCR at admission (HR, 0.995; 95% CI, 0.989-1.000; P=0.002), and LCR at 24 hours post-PCI (HR, 0.587; 95% CI, 0.486-0.708; P < 0.001) were independent risk factors for long-term STEMI prognosis after PCI. LCR at admission (cut-off value, 2.252; 95% CI, 0.040-0.768; P < 0.001) and LCR at 24 hours post-PCI (cut-off value, 2.252; 95% CI, 0.831-0.924; P < 0.001) effectively predicted MACEs occurrence, with the latter exhibiting a superior predictive effect (P<0.001). Kaplan-Meier analysis revealed that patients with LCR at admission ≤ 50.29 and LCR at 24 hours post-PCI ≤ 2.25 had significantly higher risks of developing MACEs (Log-rank P < 0.0001). Conclusion: LCR at 24 hours post-PCI may be a superior marker for long-term MACE prediction in STEMI patients, serving as the best predictor for distant MACE occurrence.

Influenza Vaccine Hesitancy among Cancer Survivors in China: A Multicenter Survey.

BACKGROUND: Cancer survivors are at higher risk of developing severe complications from influenza due to their compromised immune systems. Despite their increased vulnerability to influenza and the availability of vaccines, vaccine hesitancy among cancer survivors remains a significant public health concern in China. METHODS: A multicenter, cross-sectional study was conducted among cancer survivors in China from January to December 2023. A total of 500 participants were recruited from the oncology departments of five tertiary hospitals. A structured, self-administered questionnaire was used to collect data on socio-demographic characteristics, cancer-related information, medical history, lifestyle factors, and influenza vaccine hesitancy. Univariate and multivariate logistic regression analyses were performed to identify factors associated with influenza vaccine hesitancy. RESULTS: The response rate was 97.0% (485/500). Among all participants, 204 (42.06%) reported vaccine hesitancy. The results of multiple logistic regression showed that the longer the end of anti-cancer treatment, without a history of adverse vaccine reactions, and the level of family support played a protective role in vaccine hesitancy. Current rehabilitation status, frequent colds, not being informed by doctors about vaccination, exercising, lack of community vaccination education programs, and concerns about vaccine safety were risk factors that increase vaccine hesitancy. CONCLUSIONS: A high proportion of cancer survivors in our study reported influenza vaccine hesitancy. Addressing concerns about vaccine safety, improving access to vaccination services, and enhancing doctor-patient communication are crucial for increasing influenza vaccine uptake in this vulnerable population.

Peritoneal dialysis in an end-stage renal disease patient with massive ascites and primary liver cancer.

End-stage renal disease (ESRD) coexisted with cirrhosis, ascites, and primary liver cancer represents an extraordinarily rare clinical condition that typically occurs in very late-stage decompensated cirrhosis and is associated with an extremely poor prognosis. We present a case of a 68-year-old male patient with ESRD who experienced various decompensated complications of liver cirrhosis, particularly massive ascites and hepatic space-occupying lesions. Peritoneal dialysis (PD) catheter insertion and continuous ambulatory peritoneal dialysis (CAPD) treatment were successfully performed. During meticulous follow-up, the patient survived for one year but ultimately succumbed to complications related to liver cancer. PD can serve as an efficacious therapeutic approach for such late-stage patients afflicted together with severe cirrhosis, massive ascites and primary liver cancer.

Multifunctional nanogel loaded with cerium oxide nanozyme and CX3CL1 protein: Targeted immunomodulation and retinal protection in uveitis rat model.

Effectively addressing retinal issues represents a pivotal aspect of blindness-related diseases. Novel approaches involving reducing inflammation and rebalancing the immune response are paramount in the treatment of these conditions. This study delves into the potential of a nanogel system comprising polyethylenimine-benzene boric acid-hyaluronic acid (PEI-PBA-HA). We have evaluated the collaborative impact of cerium oxide nanozyme and chemokine CX3CL1 protein for targeted immunomodulation and retinal protection in uveitis models. Our nanogel system specifically targets the posterior segment of the eyes. The synergistic effect in this area reduces oxidative stress and hampers the activation of microglia, thereby alleviating the pathological immune microenvironment. This multifaceted drug delivery system disrupts the cycle of oxidative stress, inflammation, and immune response, suppressing initial immune cells and limiting local retinal structural damage induced by excessive immune reactions. Our research sheds light on interactions within retinal target cells, providing a promising avenue for the development of efficient and innovative drug delivery platforms.

Anthropogenic processes drive spatiotemporal variability of sulfate in groundwater from a multi-aquifer system: Dilution caused by mine drainage.

The water quality evolution of surface and groundwater caused by mining activities and mine drainage is a grave public concern worldwide. To explore the effect of mine drainage on sulfate evolution, a multi-aquifer system in a typical coal mine in Northwest China was investigated using multi-isotopes (δ34SSO4, δ18OSO4, δD, and δ18Owater) and Positive Matrix Factorization (PMF) model. Before mining, the Jurassic aquifer was dominated by gypsum dissolution, accompanied by cation exchange and bacterial sulfate reduction, and the phreatic aquifers and surface water were dominated by carbonate dissolution. Significant increase in sulfate in phreatic aquifers due to mine drainage during the early stages of coal mining. However, in contrast to common mining activities that result in sulfate contamination from pyrite oxidation, mine drainage in this mining area resulted in accelerated groundwater flow and enhanced hydraulic connections between the phreatic and confined aquifers. Dilution caused by the altered groundwater flow system controlled the evolution of sulphate, leading to different degrees of sulfate decrease in all aquifers and surface water. As the hydrogeochemical characteristic of Jurassic aquifer evolved toward phreatic aquifer, this factor should be considered to avoid misjudgment in determining the source of mine water intrusion. The study reveals the hydrogeochemical evolution induced by mine drainage, which could benefit to the management of groundwater resources in mining areas.

Enhancing Electrochemical Sensing through Molecular Engineering of Reduced Graphene Oxide-Solution Interfaces and Remote Floating-Gate FET Analysis.

Two-dimensional nanomaterials such as reduced graphene oxide (rGO) have captured significant attention in the realm of field-effect transistor (FET) sensors due to their inherent high sensitivity and cost-effective manufacturing. Despite their attraction, a comprehensive understanding of rGO-solution interfaces (specifically, electrochemical interfacial properties influenced by linker molecules and surface chemistry) remains challenging, given the limited capability of analytical tools to directly measure intricate solution interface properties. In this study, we introduce an analytical tool designed to directly measure the surface charge density of the rGO-solution interface leveraging the remote floating-gate FET (RFGFET) platform. Our methodology involves characterizing the electrochemical properties of rGO, which are influenced by adhesion layers between SiO2 and rGO, such as (3-aminopropyl)trimethoxysilane (APTMS) and hexamethyldisilazane (HMDS). The hydrophilic nature of APTMS facilitates the acceptance of oxygen-rich rGO, resulting in a noteworthy pH sensitivity of 56.8 mV/pH at the rGO-solution interface. Conversely, hydrophobic HMDS significantly suppresses the pH sensitivity from the rGO-solution interface, attributed to the graphitic carbon-rich surface of rGO. Consequently, the carbon-rich surface facilitates a denser arrangement of 1-pyrenebutyric acid N-hydroxysuccinimide ester linkers for functionalizing capturing probes on rGO, resulting in an enhanced sensitivity of lead ions by 32% in our proof-of-concept test.

Metagenomics profiling of the microbial community and functional differences in solid-state fermentation vinegar starter (seed Pei) from different Chinese regions.

Introduction: The starter used in solid-state fermentation (SSF) vinegar, known as seed Pei is a microbial inoculant from the previous batch that is utilized during the acetic acid fermentation stage. The seed Pei, which has a notable impact on vinegar fermentation and flavor, is under-researched with comparative studies on microorganisms. Methods: Herein metagenomics was employed to reveal the microbes and their potential metabolic functions of four seed Pei from three regions in China. Results: The predominant microbial taxa in all four starters were bacteria, followed by viruses, eukaryotes, and archaea, with Lactobacillus sp. or Acetobacter sp. as main functional taxa. The seed Pei used in Shanxi aged vinegar (SAV) and Sichuan bran vinegar (SBV) exhibited a higher similarity in microbial composition and distribution of functional genes, while those used in two Zhenjiang aromatic vinegar (ZAV) differed significantly. Redundancy analysis (RDA) of physicochemical factors and microbial communities indicated that moisture content, pH, and reducing sugar content are significant factors influencing microbial distribution. Moreover, seven metagenome-assembled genomes (MAGs) that could potentially represent novel species were identified. Conclusions: There are distinctions in the microbiome and functional genes among different seed Pei. The vinegar starters were rich in genes related to carbohydrate metabolism. This research provides a new perspective on formulating vinegar fermentation starters and developing commercial fermentation agents for vinegar production.

Transfer learning enables identification of multiple types of RNA modifications using nanopore direct RNA sequencing.

Nanopore direct RNA sequencing (DRS) has emerged as a powerful tool for RNA modification identification. However, concurrently detecting multiple types of modifications in a single DRS sample remains a challenge. Here, we develop TandemMod, a transferable deep learning framework capable of detecting multiple types of RNA modifications in single DRS data. To train high-performance TandemMod models, we generate in vitro epitranscriptome datasets from cDNA libraries, containing thousands of transcripts labeled with various types of RNA modifications. We validate the performance of TandemMod on both in vitro transcripts and in vivo human cell lines, confirming its high accuracy for profiling m6A and m5C modification sites. Furthermore, we perform transfer learning for identifying other modifications such as m7G, Ψ, and inosine, significantly reducing training data size and running time without compromising performance. Finally, we apply TandemMod to identify 3 types of RNA modifications in rice grown in different environments, demonstrating its applicability across species and conditions. In summary, we provide a resource with ground-truth labels that can serve as benchmark datasets for nanopore-based modification identification methods, and TandemMod for identifying diverse RNA modifications using a single DRS sample.

HACD3 Prevents PB1 from Autophagic Degradation to Facilitate the Replication of Influenza A Virus.

Influenza A virus (IAV) continues to pose serious threats to the global animal industry and public health security. Identification of critical host factors engaged in the life cycle of IAV and elucidation of the underlying mechanisms of their action are particularly important for the discovery of potential new targets for the development of anti-influenza drugs. Herein, we identified Hydroxyacyl-CoA Dehydratase 3 (HACD3) as a new host factor that supports the replication of IAV. Downregulating the expression of HACD3 reduced the level of viral PB1 protein in IAV-infected cells and in cells that were transiently transfected to express PB1. Silencing HACD3 expression had no effect on the level of PB1 mRNA but could promote the lysosome-mediated autophagic degradation of PB1 protein. Further investigation revealed that HACD3 interacted with PB1 and selective autophagic receptor SQSTM1/p62, and HACD3 competed with SQSTM1/p62 for the interaction with PB1, which prevented PB1 from SQSTM1/p62-mediated autophagic degradation. Collectively, these findings establish that HACD3 plays a positive regulatory role in IAV replication by stabilizing the viral PB1 protein.

Chromosome-level genome assembly of the predatory stink bug Arma custos.

The stink bug Arma custos (Hemiptera: Pentatomidae) is a predatory enemy successfully used for biocontrol of lepidopteran and coleopteran pests in notorious invasive species. In this study, a high-quality chromosome-scale genome assembly of A. custos was achieved through a combination of Illumina sequencing, PacBio HiFi sequencing, and Hi-C scaffolding techniques. The final assembled genome was 969.02 Mb in size, with 935.94 Mb anchored to seven chromosomes, and a scaffold N50 length of 135.75 Mb. This genome comprised 52.78% repetitive elements. The detected complete BUSCO score was 99.34%, indicating its completeness. A total of 13,708 protein-coding genes were predicted in the genome, and 13219 of them were annotated. This genome provides an invaluable resource for further research on various aspects of predatory bugs, such as biology, genetics, and functional genomics.

Hydrogen sulfide regulates macrophage polarization and necroptosis to accelerate diabetic skin wound healing.

Hydrogen sulfide (H2S), recognized as the third gasotransmitter, plays a pivotal role in the pathophysiological processes of various diseases. Cystathionine γ-lyase (CSE) is the main enzyme for H2S production in the skin. However, effects and mechanisms of H2S in diabetic skin wound healing remain unclear. Our findings revealed a decrease in plasma H2S content in diabetic patients with skin wounds. CSE knockout (KO) diabetic mice resulted in delayed wound healing, reduced blood perfusion, and CD31 expression around the wounds. It also led to increased infiltration of inflammatory cells and M1-type macrophages, decreased collagen levels, α-smooth muscle actin (α-SMA), and proliferating cell nuclear antigen (PCNA) expression. Additionally, there were enhanced expressions of necroptosis related proteins, including receptor interacting protein kinase 1 (RIPK1), RIPK3 and mixed lineage kinase domain like protein (MLKL). In comparison, sodium hydrosulfide (NaHS), H2S donor, accelerated skin wound healing in leptin receptor deficiency (db/db) mice. This acceleration was accompanied by increased blood perfusion and CD31 expression, reduced infiltration of inflammatory cells and M1-type macrophages, elevated collagen levels, α-SMA, and PCNA expressions, and decreased necroptosis-related protein expressions together with nuclear factor-κB (NF-κB) p65 phosphorylation. In conclusion, H2S regulates macrophage polarization and necroptosis, contributing to the acceleration of diabetic skin wound healing. These findings offer a novel strategy for the treatment of diabetic skin wounds.

Remediation of diesel contaminated soil by using activated persulfate with Fe3O4 magnetic nanoparticles: effect and mechanisms.

In this study, Fe3O4 magnetic nanoparticles (Fe3O4 MNPs) were assessed for their ability to enhance the activity of persulfate (PS). Various controlling factors including PS dosages, initial pH, water-soil ratio, ratio of Fe2+, and Fe3O4 MNPs to PS were considered in both the Fe2+/PS system and the Fe3O4 MNPs/PS system. Results showed that the Fe3O4 MNP-activated PS system exhibited high processing efficiency owing to the gradual release of Fe2+. This process occurred in a wide pH range (5-11), attributed to the synergistic action of sulfate radicals (SO4-·) and hydroxyl radicals (OH·) under alkaline conditions, effectively mitigating soil acidification. The ratio of Fe3O4 MNPs to PS and water-soil ratio significantly influenced the degradation rate with the highest petroleum hydrocarbon degradation rate exceeding 80% (82.31%). This rate was 3.1% higher than that achieved by the Fe2+/PS system under specific conditions: PS dosage of 0.05 mol/L, Fe3O4 MNPs to PS ratio of 1:10, water-soil ratio of 2:1, and initial pH of 11. Meanwhile, oxidant consumption in the Fe3O4 MNPs/PS system was halved compared to the Fe2+/PS system due to the slow release of Fe2+ and less ineffective consumption of SO4-·. Mechanistically, the possible degradation process was divided into three parts: the initial chain reaction, the proliferating chain reaction, and the terminating chain reaction. The introduction of Fe3O4 MNPs accelerated the degradation rate of pentadecane, heneicosane, eicosane, tritetracontane, and 9-methylnonadecane.

Nanopore Identification of N-Acetylation by Hydroxylamine Deacetylation (NINAHD).

N-Acetyl modification, a chemical modification commonly found on biomacromolecules, plays a crucial role in the regulation of cell activities and is related to a variety of diseases. However, due to the instability of N-acetyl modification, accurate and rapid identification of N-acetyl modification with a low measurement cost is still technically challenging. Here, based on hydroxylamine deacetylation and nanopore single molecule chemistry, a universal sensing strategy for N-acetyl modification has been developed. Acetohydroxamic acid (AHA), which is produced by the hydroxylamine deacetylation reaction and serves as a reporter for N-acetylation identification, is specifically sensed by a phenylboronic acid (PBA)-modified Mycobacterium smegmatis porin A (MspA). With this strategy, N-acetyl modifications on RNA, DNA, proteins, and glycans were identified, demonstrating its generality. Specifically, histones can be treated with hydroxylamine deacetylation, from which the generated AHA can represent the amount of N-acetyl modification detected by a nanopore sensor. The unique event features of AHA also demonstrate the robustness of sensing against other interfering analytes in the environment.

WITHDRAWN: TRIM44 promotes autophagy through SQSTM1 oligomerization in the response to oxidative stress induced by Arsenic Trioxide in cancer cells.

The authors have requested that this preprint be removed from Research Square.

Comparing Safety and Efficacy of TACE + Apatinib in Combination with a PD-1 Inhibitor versus a Non-triple Therapy for Treating Advanced Primary Hepatocellular Carcinoma: A Systematic Review and Meta-analysis.

BACKGROUND AND AIMS: This meta-analysis was performed to compare the efficacy and safety of a triple therapy, involving transcatheter arterial chemoembolization (TACE) + apatinib combined with a programmed-cell death protein-1 (PD-1) inhibitor versus TACE + apatinib, a dual therapy with apatinib and PD-1 inhibitor, and TACE alone for the treatment of advanced primary hepatocellular carcinoma (HCC). METHODS: A computerized systematic search of databases, such as PubMed, Embase, the Cochrane Library, CNKI, Wanfang Data, and VIP e-Journals was performed to retrieve studies comparing TACE + apatinib combined with a PD-1 inhibitor versus a non-triple therapy for the treatment of advanced primary HCC. The literature search, quality assessment, and data extraction were performed independently by two researchers. Stata 16.0 software was employed to analyze the data. Heterogeneity was assessed utilizing the I2 statistic and p-value, followed by conducting sensitivity analysis. RESULTS: A total of 2,352 patients were enrolled from 8 studies, including 900 patients in the triple therapy group of TACE + apatinib combined with a PD-1 inhibitor, 877 patients in the TACE + apatinib group, 52 patients in the apatinib + a PD-1 inhibitor group, and 112 patients in the TACE group. The results revealed that the objective response rate (ORR) was significantly higher in the triple therapy group of TACE + apatinib combined with a PD-1 inhibitor than that in the non-triple therapy group [odds ratio (OR)=2.47, 95% confidence interval (95%CI): 1.61-3.78]. Besides, disease control rate (DCR) was greater in the triple therapy group of TACE + apatinib combined with a PD-1 inhibitor than that in the non-triple therapy group (OR=1.87, 95%CI: 1.44-2.44). Patients in the triple therapy group experienced a significant extension of overall survival (OS) (HR=0.42, 95%CI: 0.36-0.49). In addition, there was no significant difference in the overall rate of adverse events (AEs) between the two groups (OR=1.05, 95%CI: 0.89-1.22). CONCLUSIONS: Compared with the non-triple therapy group, the triple therapy group of TACE + apatinib combined with a PD-1 inhibitor outperformed in terms of tumor response and long-term survival with manageable AEs.

Research Progress of Plant-Derived Natural Products against Drug-Resistant Cancer.

As one of the malignant diseases globally, cancer seriously endangers human physical and mental health because of its high morbidity and mortality. Conventional cancer treatment strategies, such as surgical resection and chemoradiotherapy, are effective at the early stage of cancer but have limited efficacy for advanced cancer. Along with cancer progress and treatment, resistance develops gradually within the population of tumor cells. As a consequence, drug resistance become the major cause that leads to disease progression and poor clinical prognosis in some patients. The mechanisms of cancer drug resistance are quite complex and involve various molecular and cellular mechanisms. Therefore, exploring the mechanisms and finding specific targets are becoming imperative to overcome drug resistance. In recent years, plant-derived natural products have been evaluated as potential therapeutic candidates against cancer with drug resistance due to low side effects and high anticancer efficacy. A growing number of studies have shown that natural products can achieve superior antitumor effects through multiple signaling pathways. The mechanisms include regulation of multiple drug resistance (MDR)-related genes, inhibition of the phosphatidylinositol 3-kinase (PI3K)/protein kinase B (AKT) signaling pathway, induction of autophagy, and blockade of the cell cycle. This paper reviews the molecular and cellular mechanisms of cancer drug resistance, as well as the therapeutic effects and mechanisms of plant-derived natural products against cancer drug resistance. It provides references for developing therapeutic medication for drug-resistant cancer treatment with high efficacy and low side effects.

Progress in the treatment of advanced hepatocellular carcinoma with immune combination therapy.

Advanced hepatocellular carcinoma (HCC) is a severe malignancy that poses a serious threat to human health. Owing to challenges in early diagnosis, most patients lose the opportunity for radical treatment when diagnosed. Nonetheless, recent advancements in cancer immunotherapy provide new directions for the treatment of HCC. For instance, monoclonal antibodies against immune checkpoint inhibitors (ICIs) such as programmed cell death protein 1/death ligand-1 inhibitors and cytotoxic t-lymphocyte associated antigen-4 significantly improved the prognosis of patients with HCC. However, tumor cells can evade the immune system through various mechanisms. With the rapid development of genetic engineering and molecular biology, various new immunotherapies have been used to treat HCC, including ICIs, chimeric antigen receptor T cells, engineered cytokines, and certain cancer vaccines. This review summarizes the current status, research progress, and future directions of different immunotherapy strategies in the treatment of HCC.

Nanopore analysis of salvianolic acids in herbal medicines.

Natural herbs, which contain pharmacologically active compounds, have been used historically as medicines. Conventionally, the analysis of chemical components in herbal medicines requires time-consuming sample separation and state-of-the-art analytical instruments. Nanopore, a versatile single molecule sensor, might be suitable to identify bioactive compounds in natural herbs. Here, a phenylboronic acid appended Mycobacterium smegmatis porin A (MspA) nanopore is used as a sensor for herbal medicines. A variety of bioactive compounds based on salvianolic acids, including caffeic acid, protocatechuic acid, protocatechualdehyde, salvianic acid A, rosmarinic acid, lithospermic acid, salvianolic acid A and salvianolic acid B are identified. Using a custom machine learning algorithm, analyte identification is performed with an accuracy of 99.0%. This sensing principle is further used with natural herbs such as Salvia miltiorrhiza, Rosemary and Prunella vulgaris. No complex sample separation or purification is required and the sensing device is highly portable.

Nanopore analysis of cis-diols in fruits.

Natural fruits contain a large variety of cis-diols. However, due to the lack of a high-resolution sensor that can simultaneously identify all cis-diols without a need of complex sample pretreatment, direct and rapid analysis of fruits in a hand-held device has never been previously reported. Nanopore, a versatile single molecule sensor, can be specially engineered to perform this task. A hetero-octameric Mycobacterium smegmatis porin A (MspA) nanopore modified with a sole phenylboronic acid (PBA) adapter is prepared. This engineered MspA accurately recognizes 1,2-diphenols, alditols, α-hydroxy acids and saccharides in prune, grape, lemon, different varieties of kiwifruits and commercial juice products. Assisted with a custom machine learning program, an accuracy of 99.3% is reported and the sample pretreatment is significantly simplified. Enantiomers such as DL-malic acids can also be directly identified, enabling sensing of synthetic food additives. Though demonstrated with fruits, these results suggest wide applications of nanopore in food and drug administration uses.