Phenols such as bisphenols, parabens, and triclosan are common environmental endocrine disruptors. Previous epidemiological studies have suggested that phenols may affect semen quality, but the results were inconsistent. In addition, most existing studies have been limited to the effects of a single chemical compound, ignoring the health effects of mixed exposure to multiple chemicals. Thus, we aimed to explore the associations between individual and mixed exposure to phenols and various semen quality parameters. In this study, a rapid and sensitive method was used to determine 18 phenolic compounds in urine samples of 799 volunteers who donated sperm samples to the Shanghai Human Sperm Bank. A spot urine sample was collected from each subject on the day of their clinic visit and stored at -20 ℃ until testing. Urine samples (200 μL) were extracted and added with 20 μL of an internal standard and 50 μL of β-glucuronidase solution. The mixtures were then incubated for 12 h at 37 ℃. After hydrolysis, the samples were extracted twice using ethyl acetate (500 μL). The concentrations of the 18 phenolic compounds were measured using high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS). Semen quality parameters were analyzed using a computer-aided semen analyzer. Multiple linear regressions were used to detect the associations between individual phenol exposure and semen quality parameters. In addition, weighted quantile sum (WQS) models were used to explore the associations between mixed-phenol exposure and semen quality parameters. After adjusting for potential covariates, the results of multiple linear regressions showed that exposure to ethyl paraben (EtP) was significantly negatively associated with sperm concentration and total sperm count (P<0.05). In addition, exposure to mixed phenols was significantly associated with decreased sperm concentration; methyl paraben (MeP) and EtP were identified as the main contributors to this decrease. Thus, phenol exposure may be associated with decreased semen quality in young males, particularly with respect to sperm concentration and total sperm count.

Perfluoroalkyl and polyfluoroalkyl substances (PFASs) have been extensively used as synthetic fluorine-containing compounds in various consumer products, including surfactants, cookware, lubricants, clothing, and food packaging, since the 1950s. Evidence has shown that PFASs cross the placental barrier and interfere with fetal thyroid hormone homeostasis, which is crucial for fetal growth and neurobehavioral development in children aged 2-9 years. However, no epidemiological data on the association between prenatal PFAS exposure and neonatal neurobehavioral development are available. In this study, we explored the association between prenatal PFAS exposure and neonatal neurobehavioral development based on the Ezhou cohort study. Blood samples (10 mL) were collected during the third trimester of pregnancy (28-36 weeks) at the Ezhou maternal and child health hospital. The blood specimens were centrifuged at 4000 r/min for 15 min immediately after collection, separated, stored at -80 ℃. The samples were analyzed for seven PFASs, namely, perfluorooctanoic acid (PFOA), perfluorooctane sulfonate (PFOS), perfluorohexane sulfonate (PFHxS), perfluorononanoic acid (PFNA), perfluorodecanoic acid (PFDA), perfluoroheptanesulfonic acid (PFHpS), and perfluorooctane sulfonamide (PFOSA). The PFASs were separated using a C18 column (100 mm×2.1 mm, 1.7 μm) at an oven temperature of 40 ℃, injection volume of 10 μL, and flow rate of 0.4 mL/min via gradient elution with methanol and ammonium acetate aqueous solution. The instrument was operated in negative electrospray ionization mode with multiple reaction monitoring. The correlation coefficients (r2), limits of detection (LODs) and quantification (LOQs), and spiked recoveries of the seven PFASs were 0.993-0.999, 0.006-0.020 ng/mL, 0.020-0.066 ng/mL, and 84.6%-116.8%, respectively. Neonatal behavioral neurological assessment (NBNA) was used to evaluate newborn cognitive development 72 h after birth; this tool consisted of five clusters, including behavior (six items), passive muscle tone (four items), active muscle tone (four items), primitive reflexes (three items), and general assessment (three items). Each item was rated on a three-point scale (0, 1, or 2), with the 20 items having a maximum score of 40. A total of 379 mother-newborn pairs were included in the analysis. The PFASs with the highest exposure levels was PFOA, with median levels of 19.4 ng/mL. Linear regression models were used to test the effects of ln-converted PFAS levels in newborns. After adjusting for confounding factors, the linear regression model showed that PFOS exposure during pregnancy was associated with decreased active muscle tone(β(95% CI): 0.36(-0.64, 0.08)) and general assessment(β(95% CI): 0.34(-0.61, 0.07)) in all newborns. Furthermore, PFNA exposure was associated with decreased passive muscle tone(β(95% CI): 0.38(-0.74, 0.01)) and total NBNA(β(95% CI): 0.37(-0.68, 0.06)). PFDA exposure was associated with decreased behavior(β(95% CI): 0.28(-0.54, 0.01)), while PFHxS exposure was associated with elevated total NBNA(β(95% CI): 0.27(0.05-0.48)). Gender stratification analysis showed that PFOS exposure during pregnancy was associated with decreased active muscle tone(β(95% CI): 0.54(-0.73, 0.35)) and general assessment(β(95% CI): 0.50(-0.88, 0.13)), PFNA exposure during pregnancy was associated with decreased passive muscle tone(β(95% CI): 0.67(-1.2, 0.14)) and total NBNA(β(95% CI): 0.45(-0.91, 0.01)), PFDA exposure during pregnancy was associated with decreased behavior(β(95% CI): 0.44(-0.71, 0.17)), PFHxS exposure was associated with elevated total NBNA(β(95% CI): 0.41(0.02-0.80)) in male newborns, and PFOA exposure was associated with decreased general assessment(β(95% CI): -0.27(-0.51, 0.02)), and PFDA exposure was associated with elevated behavior(β(95% CI): 0.46(0.40-0.52)) in female newborns. The proposed method separates and detects various PFASs without the need for cumbersome pretreatment processes, and has the advantages of low LODs, satisfactory recoveries, and accurate precision. Thus, it allows for the simultaneous analysis of trace PFASs in microserum samples from pregnant women. Our results also showed that prenatal PFAS exposure can lead to neurobehavioral disorders in offspring, with male newborns showing greater sensitivity than female newborns.

The discovery and identification of mushroom toxins has long been an important area in the fields of toxicology and food safety. Mushrooms are widely favored for their culinary and medicinal value; however, the presence of potentially lethal toxins in some species poses a substantial challenge in ensuring their safe consumption. Therefore, the development of a robust and sensitive analytical method is necessary for accurately identifying the risks associated with mushroom consumption. The study of mushroom toxins, which are characterized by their diversity and substantial variations in chemical structures, present a considerable challenge for achieving precise and high-throughput analysis. To address this issue, the present study employed a robust approach combining a solid-phase extraction (SPE) purification technique with high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) to establish an analytical method for the detection and quantification of five amatoxins and two tryptamines (psilocybin and bufotenine) present in some mushrooms. Several optimization procedures were undertaken, including optimizing the chromatographic conditions, mass spectrometric parameters, and sample extraction and purification. The procedure involved the extraction of dry mushroom powder with methanol containing 0.3% formic acid, followed by purification using a strong cation exchange cartridge (SCX). The analytes were separated on a T3 chromatographic column (100 mm×2.1 mm, 1.8 μm) using mobile phases of acetonitrile and 5 mmol/L ammonium acetate solution containing 0.1% formic acid. The multiple reaction monitoring (MRM) mode was employed for data acquisition. Amatoxins were quantified using matrix-matched standard calibration curves, whereas isotopic internal standards were used to quantify tryptamine. The results showed that all seven toxins exhibited good linearities (r2>0.99) within the optimized concentration range. The limits of detection (LODs) for bufotenine, psilocybin, and amatoxins were determined as 2.0, 5.0, and 10 μg/kg, respectively, while the limits of quantification (LOQs) were determined as 5.0, 10, and 20 μg/kg, respectively. The LOD and LOQ values further underscore the ability of the method to detect minute quantities of toxins, making it particularly well suited for screening food samples for potential contamination. Using dried shiitake mushroom powder as the matrix, the recoveries of the two tryptamines ranged from 80.6% to 117%, with relative standard deviations (RSDs) ranging from 1.73% to 5.98%, while the recoveries of amatoxins ranged from 71.8% to 115%, with RSDs varying from 2.14% to 9.92% at the three concentration levels. The consistent and satisfactory recoveries of amatoxins and tryptamines demonstrated the ability of this method to accurately quantify the target analytes even in a complex matrix. Comparison with the results of supplementary test method recognized by State Administration for Market Regulation for food (BJS 202008) demonstrated comparable results, indicating no significant differences (p>0.05) in amatoxin contents. The newly developed method is rapid, accurate, precise, meets the required standards, and is suitable for the detection of seven toxins in wild mushrooms. As part of the application of this method, a comprehensive investigation of the distribution of toxins in wild mushrooms from Fujian Province was undertaken. In this study, 59 wild mushroom samples from nine cities were collected in the Fujian province. Species identification was conducted using rDNA-internal transcribed space (rDNA-ITS) molecular barcode technology, which revealed the presence of toxins in the two samples. Notably, one specimen named Amanita fuligineoides contained α-amanitin, β-amanitin, and phalloidin in quantities of 607, 377, and 69.0 mg/kg, respectively. Additionally, another sample, identified as Tricholomataceae, had a psilocybin concentration of 12.6 mg/kg.

The widespread and frequent use of antibiotics to treat diseases or encourage animal growth has resulted in their persistence and accumulation in water, soil, and sediments. As a typical emerging pollutant in the environment, antibiotics have become an important research focus in recent years. Antibiotics are commonly found at trace levels in water environments. Unfortunately, the determination of various types of antibiotics, all of which exhibit different physicochemical properties, remains a challenging endeavor. Thus, developing pretreatment and analytical techniques to achieve the rapid, sensitive, and accurate analysis of these emerging contaminants in various water samples is an essential undertaking.In this paper, a solid phase extraction-high performance liquid chromatography-tandem mass spectrometry (SPE-HPLC-MS/MS) method for the simultaneous determination of 22 antibiotics including 4 penicillins, 12 quinolones and 6 macrolides in environmental water samples was developed. Based on the characteristics of the screened antibiotics and sample matrix, the pretreatment method was optimized, focusing on the SPE column, pH of the water sample, and amount of ethylene diamine tetra-acetic acid disodium (Na2EDTA) added to the water sample. Prior to extraction, a 200 mL water sample was added with 0.5 g of Na2EDTA and pH-adjusted to 3 using sulfuric acid or sodium hydroxide solution. Water sample enrichment and purification were achieved using an HLB column. HPLC separation was carried out on a C18 column (100 mm×2.1 mm, 3.5 μm) via gradient elution with a mobile phase composed of acetonitrile and 0.15% (v/v) formic acid aqueous solution. Qualitative and quantitative analyses were performed on a triple quadrupole mass spectrometer in multiple reaction monitoring mode using an electrospray ionization source. The results showed correlation coefficients greater than 0.995, indicating good linear relationships. The method detection limits (MDLs) and limits of quantification (LOQs) were in the ranges of 2.3-10.7 ng/L and 9.2-42.8 ng/L, respectively. The recoveries of target compounds in surface water at three spiked levels ranged from 61.2% to 157%, with relative standard deviations (RSDs) of 1.0%-21.9%. The recoveries of target compounds in wastewater at three spiked levels were 50.1%-129%, with RSDs of 1.2%-16.9%. The method was successfully applied to the simultaneous determination of antibiotics in reservoir water, surface water, sewage treatment plant outfall, and livestock wastewater. Most of the antibiotics were detected in watershed and livestock wastewater. Lincomycin was detected in 10 surface water samples, with a detection frequency of 90%, and ofloxacin showed the highest contents (127 ng/L) in livestock wastewater. Therefore, the present method exhibits excellent performance in terms of MDLs and recoveries compared with previously reported methods. The developed method presents the advantages of small water sample volumes, wide applicability, and fast analysis times; thus, it can be considered a rapid, efficient, and sensitive analytical method with excellent potential for monitoring emergency environmental pollution. The method could also provide a reliable reference for formulating antibiotic residue standards. The results provide strong support for and an improved understanding of the environmental occurrence, treatment, and control of emerging pollutants.

OBJECTIVE: To establish a combined high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) and gas chromatography-mass spectrometry (GC-MS) method to detect the synthetic cannabinoid CUMYL-PEGACLONE in e-cigarette oil and hair.
METHODS: HPLC-MS/MS and GC-MS were used to establish the detection method of CUMYL-PEGACLONE, and the hair of drug-involved persons and the seized e-cigarette oil were detected.
RESULTS: The main mass spectrometry characteristic ions m/z of CUMYL-PEGACLONE measured by GC-MS were 91, 179, 197, 254 and 372. CUMYL-PEGACLONE had a good linear relationship in the mass concentration range of 2-50 ng/mL, and the linear correlation coefficient (r) was greater than 0.99. The limit of detection (LOD) of CUMYL-PEGACLONE in hair was 0.01 ng/mg, and the limit of quantitation (LOQ) was 0.02 ng/mg. The LOD of CUMYL-PEGACLONE in e-cigarette oil was 1 ng/mg, and the LOQ was 2 ng/mg. The average recoveries of CUMYL-PEGACLONE under the attempt at high, intermediate and low levels in blank human hair and e-cigarette oil matrix were 98.2%-132.4% and 93.5%-110.6%, and the intraday and intraday precision were 1.2%-12.9% and 0.7%-2.9%. CUMYL-PEGACLONE was detected in the hair of 15 drug-involved persons. Except for 1 person who was lower than LOQ, the concentration of CUMYL-PEGACLONE in the hair of other 14 persons was 0.035-0.563 ng/mg. The mass fraction of CUMYL-PEGACLONE in 2 e-cigarette oil were 0.17% and 0.21%, respectively.
CONCLUSIONS: The established HPLC-MS/MS and GC-MS methods are applied to the detection of HPLC-MS/MS in drug-related cases, which provides strong evidence support for the handling authority to quickly investigate these cases, and also provides a reference for the identification of such substances in future.
目的: 建立联合高效液相色谱-串联质谱法（high performance liquid chromatography-tandem mass spectrometry，HPLC-MS/MS）和气相色谱-质谱法（gas chromatography-mass spectrometry，GC-MS）检测电子烟油和毛发中合成大麻素5-戊基-2-（2-苯基丙-2-基）-2，5-二氢-1H-吡啶[4，3-b]吲哚-1-酮（CUMYL-PEGACLONE）的方法。方法: 采用HPLC-MS/MS和GC-MS建立CUMYL-PEGACLONE检测方法，对涉毒人员毛发和查获的电子烟油进行检测。结果: GC-MS测得CUMYL-PEGACLONE主要质谱特征离子m/z为91、179、197、254和372；CUMYL-PEGACLONE在2~50 ng/mL质量浓度范围内线性关系良好，线性相关系数（r）大于0.99；毛发中CUMYL-PEGACLONE的HPLC-MS/MS方法检出限为0.01 ng/mg，定量限为0.02 ng/mg；电子烟油中CUMYL-PEGACLONE的HPLC-MS/MS方法检出限为1 ng/mg，定量限为2 ng/mg；CUMYL-PEGACLONE在空白毛发和电子烟油基质中高、中、低3个添加浓度下的回收率分别为98.2%~132.4%和93.5%~110.6%，日内精密度和日间精密度分别为1.2%~12.9%和0.7%~2.9%。专案中15例涉毒人员头发中均检出CUMYL-PEGACLONE，除1例低于定量限，另14例人员头发中CUMYL-PEGACLONE质量分数为0.035~0.563 ng/mg；2份电子烟油中CUMYL-PEGACLONE的质量分数分别为0.17%和0.21%。结论: 建立的HPLC-MS/MS和GC-MS方法应用于涉毒专案中CUMYL-PEGACLONE的检测，为办案机关快速侦办涉毒专案提供了有力证据支撑，亦为今后涉及此类物质的鉴定提供参考依据。.

Sodium nitrophenolate (SNP) is a widely used universal growth regulator consisting of 5-nitroguaiacol sodium (5NG), 4-nitrophenol sodium (PNP), and 2-nitrophenol sodium (ONP). SNP has a positive influence on plants and animals as a feed additive that accelerates growth but is potentially hazardous to humans. SNP has been reported to be cytotoxic and mutagenic, which may increase the risk of cancer and pose a great threat to food safety. There are neither mature detection nor standard methods for the trace analysis of SNP in animal food. Therefore, the development of an accurate and precise analytical method is imperative. This innovative method has theoretical and practical significance for the control of SNP residues, offering advantages such as cost-effectiveness and time efficiency. It will be beneficial for the establishment of detection standards and management measures in foodstuffs of animal origin.In this study, a reliable method for the simultaneous determination of SNP residues in animal food (porcine muscle, chicken tissue, fish, and liver) was developed. For realizing the perfect limit of quantification, the application of back extraction coupled with high performance liquid chromatography-atmospheric pressure chemical ionization-tandem mass spectrometry (HPLC-APCI-MS/MS) was proposed to combine high sensitivity and high selectivity. The optimal method was as follows. First, 2.0 g samples were extracted with 10 mL 0.5 mol/L sodium hydroxide solution, followed by adjustment of the pH to acidity with 3 mol/L hydrochloric acid and the addition of sodium chloride (5.0 g) to saturate the inorganic phase. After back-extraction twice with 16 mL acetonitrile, the solution was merged and again saturated with 5 mL of sodium chloride solution. Second, the merged organic phase was cleaned up with 10 mL of n-hexane for defatting. The middle acetonitrile layer was then concentrated to nearly 1.5 mL at 40 ℃ in a N2 stream before dilution with the mobile phase to a volume of 3.0 mL and filtered. Finally, the analytes were separated on a C18 column (100 mm×4.6 mm, 3 μm) and subjected to gradient elution with a mixed solution of methanol and water. Mass spectrometric analysis, which was quantified using the external standard method, was carried out with an atmospheric pressure chemical ionization negative ion source and based on multiple reaction monitoring (MRM) mode. The key parameters, such as the extraction solvent, extraction steps, and purification method, were optimized.The calibration curves were linear in the ranges of 0.5-10 (5NG), 1.0-20 (PNP), and 2.5-50 μg/L (ONP) with correlation coefficients greater than 0.9999. The limit of quantification (LOQ) for 5NG was 1.0 μg/kg, double for PNP, and five times for ONP. The recoveries of the three different concentration levels in all the four matrices were in the range of 81.5%-98.4%, 81.5%-102%, and 81.4%-95.1%. The repeatability, expressed as the relative standard deviations (RSDs) of the three compounds, ranged from 1.51% to 5.98%, 1.10% to 8.85% and 0.91% to 8.61% (n=6). The developed method is characterized by an excellent purification effect, sensitivity, and accuracy. This method is suitable for the simultaneous and quantitative determination of SNP residues in foodstuffs of animal origin.

Chromatography combined with mass spectrometry is the most commonly used detection technology, and it offers the advantages of high sensitivity and high selectivity. The quick, easy, inexpensive, effective, rugged, and safe (QuEChERS) method is low-cost, effective, and time efficient. The application of the QuEChERS has now been extended to the analysis of contaminants in food samples. The aim of the study was to identify different concentration levels of multiple harmful drug residues in bean sprouts. In this study, QuEChERS coupled with high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) was established for the simultaneous determination of 40 plant growth regulators, fungicides, insecticides, and antibiotics in bean sprouts. In the HPLC-MS/MS experiment, gibberellic acid, 4-fluorophenoxyacetic acid, chloramphenicol, N6-(δ2-isopentenyl)-adenine, 6-benzylaminopurine, 4-chlorophenoxyacetic acid, and 2,4-dichlorophenoxyacetic acid (2,4-D) were analyzed by MS/MS with negative electrospray ionization (ESI-). The other 33 target analytes (chlormequat, ronidazole, metronidazole, pymetrozine, dimetridazole, methomyl, carbendazim, enoxacin, levofloxacin, pefloxacin mesylate, norfloxacin, ciprofloxacin, enrofloxacin, thiabendazole, lomefloxacin, chlorpyrifos, sarafloxacin, imidacloprid, etc.) were analyzed by MS/MS with positive electrospray ionization (ESI+). Sensitive MS conditions were realized by optimizing the instrumental parameters such as the desolvent temperature, collision energy, spraying needle position, precursor ions, and product ions. Then, the optimal pretreatment method was determined by comparing the recovery rates of the 40 drugs obtained with different extraction solvents (methanol, acetonitrile, acetonitrile containing 0.1% ammonia, acetonitrile with 1% acetic acid), different extraction methods (ultrasonic extraction, shaking extraction), and purification with primary secondary amine (PSA) and C18. In this study, the bean sprouts samples were extracted twice by 10 mL acetonitrile with 1% acetic acid, and extracted under ultrasonic conditions. Then, the extracting solution was only cleaned with 100 mg C18. The chromatographic separation of the 40 compounds was accomplished on a Waters ACQUITY UPLC BEH C18 column (100 mm×2.1 mm, 1.7 μm) with gradient elution. Methanol and 0.01% formic acid aqueous solution were used as the mobile phases. The 40 compounds were analyzed in the multiple reaction monitoring (MRM) mode. The matrix matching external standard method was used for quantitative determination. The results showed that the 40 compounds could be analyzed within 15 min. Under the optimized conditions, the calibration curves showed good linearities for the 40 compounds, and the coefficients of determination (r2) were greater than 0.99 in the range of 2-200 μg/L. The limits of detection (LODs) and limits of quantification (LOQs) were in the range of 0.1-3 μg/kg and 0.3-9 μg/kg, respectively. Using negative bean sprouts as the substrates, the recovery tests were carried out at three spiked levels of 5, 10, and 50 μg/kg. The average recoveries of the 40 drugs were 78.5% to 115.3%, and the corresponding relative standard deviations (RSDs) were 1.3% to 9.7% (n=6). This method was successfully applied to the analysis of the 40 drug residues in 21 batches of local bean sprouts in Handan city. The results revealed the presence of extensive drug residues in the bean sprouts. The 26 batches were detected to varying degrees, among which 4-chlorophenoxyacetic acid, carbendazim, 6-benzyladenine, 2,4-D, enrofloxacin, and metronidazole were detected at high rates. The detection rates of 4-chlorophenoxyacetic acid, 6-benzyladenine, carbendazim, 2,4-D, gibberellic acid, and enrofloxacin were 28.6%, 19.0%, 9.5%, 9.5%, 4.8%, and 4.8%, respectively. The contents ranged from 37.5-352.4, 32.4-273.1, 28.8-38.7, 316.1-20.2, 19.9 and 13.6 μg/kg, respectively. Given its advantages of simplicity, rapidness, and high sensitivity, the developed method can be used for the rapid and accurate determination of trace levels of the 40 drug residues in large quantities of bean sprouts.

Various types of oxidative dyes used in hair dye products possess poor stability and have varying frequency of use. Interference problems also frequently arise in actual sample measurements. Therefore, it is necessary to establish a simple, rapid, accurate, and specific method for the determination of common dyes in hair dye products for their effective regulation. In this study, dyes were grouped according to their frequency of use. Using a C18 column that minimizes the silanol effect and influence of metals, the quantitative high performance liquid chromatography (HPLC) method for 32 dyes listed in Safety and Technical Standards for Cosmetics (2015 edition) was optimized, and a high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) confirmatory method for the dyes was established. The samples were extracted using a mixed solution of ethanol-water (1∶1, v/v) with 10 g/L sodium bisulfite solution as an antioxidant, vortexed and mixed, and then extracted by ultrasonication in an ice bath for 10 min. Methanol, acetonitrile, and phosphate buffer were used as the mobile phases in the HPLC analysis. Additionally, two different elution conditions (chromatographic gradient) were used for the separation of 32 oxidative dyes, which were detected at a wavelength of 280 nm. The HPLC separations were compared using columns of particle sizes 5 μm and 2.7 μm; 5 μm C18 columns with better anti-interference and antiblocking ability were selected. Satisfactory separation was achieved for all three commercial C18 columns with a particle size of 5 μm, and the method had good general usability. In condition 1, 17 commonly used dyes and three less commonly used dyes were assigned to group Ⅰ and separated by HPLC; in condition 2, eight banned dyes and four other less commonly used dyes were assigned to group Ⅱ and separated by HPLC. The HPLC-MS/MS method used 5 mmol/L ammonium acetate aqueous solution-acetonitrile and 5 mmol/L acetic acid aqueous solution-acetonitrile as mobile phases in the positive and negative ion modes, respectively. Multiple reaction monitoring (MRM) was performed for qualitative and quantitative analyses in the electrospray ionization mode. Under the examined conditions, six pairs of isomers were well resolved. For the HPLC and HPLC-MS/MS methods, the relative standard deviations (RSDs) of the intra-day precision and 48 h stability tests were less than 10%. The recoveries were between 82.6% and 114.9% (RSD<10%). In the HPLC method, 32 dyes showed good linearity in an approximate range of 10-500 mg/L (r2>0.99), and the limits of detection (LODs) were 9.7-40.1 μg/g. The linear range of hydroquinone in the HPLC-MS/MS method was 2.0-79.7 mg/L, and the LOD was 8.0 μg/g; the linear ranges of the other components were approximately 0.1-4 mg/L, and the LODs were 0.01-0.4 μg/g. The actual samples were simultaneously measured by HPLC, HPLC-MS/MS, and the standard method. Finally, 16 of the 32 dyes were detected, and the detected contents ranged from 58 to 25160 μg/g. The RSDs of the results obtained from the three detection methods were between 1.9% and 10.1%. All detected components were within the limits of group Ⅰ of this method. In comparison with methods reported in the literature and the standard method, this method covers all components for the routine regulatory inspection of oxidative dyes in cosmetics. The method can separate the commonly used dyes under the same HPLC conditions and avoid interference from 15 other commonly used dyes during the analysis of actual samples. A suitable HPLC-MS/MS confirmatory method was also established for the identification of currently unknown substances in the statutory inspection of cosmetics. The method is simple, rapid, accurate, and specific with general usability and good operability.

Rice is a major dietary staple in many communities owing to its high nutritional value and characteristic aroma. Oryzanol, a mixture of ferulic acid esters of triterpene alcohols and phytosterols, is a major group of phytochemicals found in rice. 24-Methylenecycloartanyl ferulate (24MCA-FA), cycloartenyl ferulate (CA-FA), and campestanyl ferulate (Camp-FA) have been identified as the primary components of oryzanol. At present, for the quantification of oryzanol in rice and rice products, UV spectroscopy or high performance liquid chromatography (HPLC) is widely employed. However, these methods cannot differentiate individual oryzanols, resulting in higher measured values. To extract oryzanol, methods including liquid-liquid extraction, acidulation extraction, and direct solvent extraction have been typically employed, as they do not require specific extraction instrumentation. However, there has been no systematic study on the direct solvent extraction and purification conditions of oryzanol in rice. In this study, a rapid and accurate analytical method based on HPLC-MS/MS and mixed-mode anion exchange (MAX) solid-phase extraction was established to determine the content of three oryzanols (24MCA-FA, CA-FA, and Camp-FA) in rice. The MS parameters, such as the collision energy of three ion pairs of each oryzanol, were optimized. Further, the chromatographic separation conditions and response intensities of the oryzanols in different mobile phases were compared. The effects of different pretreatment conditions on the extraction efficiency of the three oryzanols in rice samples and different purification conditions on their recovery were investigated. Combined with the external standard method, the three oryzanols in rice were successfully quantified. The results showed that the baseline separation and highest response for the three oryzanols were achieved using the Agilent Eclipse XDB-C8 chromatographic column (150 mm×2.1 mm, 3.5 μm) when methanol∶ acetonitrile in a 1∶1 ratio (v/v) and an aqueous solution of 5 mmol/L ammonium acetate were used as the mobile phases for gradient elution. The extraction rate of the three oryzanols was highest when using 2.5 g of the sample, adding 20 mL of methanol, soaking for 12 h, ultrasonicating at a temperature of 40 ℃ for 20 min, and centrifuging the extracted solutions at 4500 r/min for 10 min. The samples were purified by MAX, and the sample matrix effect was found to be lesser than 1.6%-10.8%. Under the optimum conditions, the calibration curves of the three oryzanols showed good linearity (correlation coefficients r2≥0.9983) within their respective linear ranges. The limits of detection were in the range of 0.5-1.0 μg/L, and limits of quantification were in the range of 2.0-3.5 μg/L. Accuracy and precision experiments were performed on rice samples spiked at three levels (2, 5, and 10 times the background concentration), with three replicates. The average recoveries of the three oryzanols ranged from 86.1% to 110.6%, and the relative standard deviations (RSDs) were between 0.9% and 3.2%. The method showed good performance when applied to the analysis of real samples. In conclusion, the developed method can determine the content of the three oryzanols in rice quickly and accurately, and can be used for the subsequent measurement of oryzanol compounds in rice.

In this study, a magnetic nanomaterial antibody (Ab)-SiO2@Fe3O4 was synthesized, which was employed to absorb aflatoxin B1 (AFB1) in complicated grain matrices. The Ab-SiO2@Fe3O4 material was then paired with high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) for subsequent accurate detection. The Ab-SiO2@Fe3O4 material has a specific adsorption capacity for AFB1 because of the stable and specific biological binding between antigen and antibody. This process can achieve the identification between the material and food matrix quickly, thereby completing the separation and enrichment process. Then, high sensitivity and high accuracy HPLC-MS/MS were employed for signal readout and actual quantification, which can significantly increase the detection efficiency and enable high-throughput detection of numerous samples. In the pretreatment process, Fe3O4 was first synthesized by microwave-assisted hydrothermal synthesis within 1 h, and Ab-SiO2@Fe3O4 was then produced using the enhanced Stober\'s approach. This material with high adsorption performance was synthesized under relatively mild conditions and short time. To obtain Ab-SiO2@Fe3O4 materials with uniform particle size, magnetic properties, and dispersibility that met the requirements, synthesis conditions of Ab-SiO2@Fe3O4 and conditions for capturing the AFB1 target were analyzed. The findings demonstrated that the best effect was obtained when the dosage of FeCl3·6H2O was 10.0 mmol, the heating time was 40 min, and 100 μL tetraethoxysilane was employed for SiO2 coating. The AFB1 antibody was then combined with the surface of SiO2@Fe3O4 under several conditions. The findings revealed that the best coupling efficiency of Ab could be obtained when the concentration of 2-morpholinoethanesulfonic acid monohydrate (MES) was 10 mmol/L, pH was 6.5, and the molar ratio of 1-(3-dimethylaminopropyl)-3-ethylcarbodiimide hydrochloride (EDC)∶N-hydroxysuccinimide substances (NHS) was 2∶1. The coupling buffer was then selected as phosphate buffer (PBS) with pH=7.4, and 8 mg Ab-SiO2@Fe3O4 was employed to separate and enrich AFB1 at 37 ℃ for 10 min. In the actual detection, acetonitrile-water-formic acid (85∶10∶5, v/v/v) was employed as the extraction solution. After ultrasonic extraction for 10 min, Ab-SiO2@Fe3O4 was employed to separate and enrich AFB1 in the extract. The supernatant was dried with nitrogen and reconstituted with 1-mL acetonitrile. The solution was then filtered through a 0.22 μm filter and detected using HPLC-MS/MS, thereby realizing the quick and quantitative detection of AFB1. AFB1 had an excellent linear relationship in the range of 2-50 μg/L under the optimal analytical conditions, and the correlation coefficient was less than 0.99. The LOD was 0.04 μg/kg, and the LOQ was 0.13 μg/kg. The spiked recoveries of AFB1 in three grain matrices ranged from 76.21% to 92.85% with RSD≤5.29% at four different spiked levels. The approach was applied to the determination and analysis of AFB1 in 30 real grain samples of rice, corn, and wheat. The findings demonstrated that AFB1 was detected in one wheat sample and two corn samples, and its content was 0.38, 0.13, and 0.47 μg/kg, respectively, and no toxins were found in other samples. The approach combined Ab-SiO2@Fe3O4 magnetic nanomaterials with HPLC-MS/MS, which could obtain high-efficiency separation and enrichment of AFB1. Furthermore, the low-cost Ab-SiO2@Fe3O4 could be stored for more than a week and complete the pretreatment process within 30 min. This effective pretreatment process combined with HPLC-MS/MS could realize the analysis of several samples within a short time, and had a promising application prospect in the detection of AFB1 in grains.