Introduction

Composting is an effective method to treat organic solid waste (Chen et al. 2020a). Compost products play an important role in promoting plant growth, improving soil properties, and enhancing soil carbon sequestration (Jurado et al. 2015; Piccolo et al. 2004; Said-Pullicino et al. 2007). These products also have great potential in remediation of soil pollution (Madejón et al. 2016; Yuan et al. 2016).

Humic substances (HSs) are a complex macromolecular organic matter, including humic acid (HA), fulvic acid (FA), and humin (Guo et al. 2019). HS has electron transfer capacity (ETC) because it has a large number of functional groups with redox activity. HS can transfer electrons between microorganisms and terminal electron receptors as electron shuttles, which mediates the passivation of heavy metals and the degradation of refractory organic pollutants; thus, HS plays an important role in environmental pollution remediation (Wu et al. 2017). Examples of this method are reduction of Cr(VI) to Cr(III) (Yang et al. 2020), reduction of Fe(III) to Fe(II) (Stern et al. 2018), reduction of nitrobenzene to aniline (Yuan et al. 2017), and reduction and dechlorination of pentachlorophenol (Zhao et al. 2020). HS also has the characteristic of transferring electrons repeatedly and can further accelerate the transformation rate of pollutants (Xu et al. 2009). Electron recycling rate (ERR) is often used to measure the durative of electron transfer (Yuan et al. 2012). The application of compost in soil remediation actually depends on the ETC and ERR of HS in compost. The value of compost in soil remediation is higher when the ETC and ERR values are stronger (Zhang et al. 2021a). Therefore, ETC and ERR of HS are important indicators to determine its environmental effect (Azim et al. 2018).

Ventilation quantity is an important parameter that affects composting process (Gao et al. 2010). Insufficient ventilation can cause anaerobic phenomenon, but excessive ventilation can decrease the compost temperature and may not be conducive to the degradation of organic matter (Ahn et al. 2007). The heat and temperature of the piles can be adjusted by regulating the ventilation volume; thus, the degradation of organic matter and the formation of HS are affected (Chen et al. 2020b). Most current studies on ventilation quantity focus on the effect of ventilation quantity on physicochemical properties, such as maintaining the temperature of compost, accelerating the degradation of organic matter, and improving germination index (GI) (Zang et al. 2016). However, few studies focus on the effect of ventilation quantity on the composition evolution and ETC of HS, and the change in redox properties of HS during composting with different ventilation quantities is unclear.

The main objectives of this study were as follows. (1) The evolution of ETC during composting with different ventilation quantities was investigated by electrochemical method. (2) The changes in organic composition and structure during composting with different ventilation quantities were analyzed using spectral analysis method to clarify the key affecting factors of ETC of HS. The results provide scientific basis for the application of compost products and the improvement in pollution remediation efficiency of compost products.

Materials and methods

Composting process, sample collection and physical–chemical analysis

The municipal sludges in this study were from a sewage treatment plant in Guilin, China. The sludge and rice bran were evenly mixed at 3:1 (m/m) ratio and then placed into three identical reactors (a total effective volume of approximately 50 L, Φ37× 57 cm) for the continuous aeration composting. The physico–chemical properties of the raw materials are presented in Table 1.

Table 1 The initial properties of raw materials

The aeration quantities of the three piles were set as 0.1, 0.2, and 0.3 L kg−1 dry matter min−1, which were denoted as VQ1, VQ2, and VQ3, respectively. Each pile was turned over once a week. An electronic thermometer was used to monitor daily temperature during composting. Moisture content (MC) was determined by drying at 105 °C for 4 h, and volatile solid (VS) content was measured by combustion at 650 °C for 6 h. GI was measured with the method provided by Wu et al. 2019.

Samples were collected on days 0, 3, 6, 9, 12, 15, 21, 30, and 40. One part of the samples was stored directly in a −20 °C freezer, and the other part was freeze-dried and passed through a 60-mesh sieve. After screening, the samples were stored in the −20 °C freezer for further analysis.

Extraction and separation of HA and FA

The extraction and evaluation methods of HS refer to the methods of Song et al. (2015) and Zhou et al. (2014). The initial extraction of HS was by lye extraction. The extracted lye was 0.1 mol/L Na2P2O7 and 0.1 mol/L NaOH mixed in 1:1 solution, and then, it was placed into the horizontal constant temperature oscillator to oscillate for 24 h. The mixture was centrifuged at 10,000 rpm for 20 min, and the centrifuged supernatant was filtered through a 0.45-μm filtration membrane. The precipitate obtained after centrifugation (4000 rpm for 15 min) was crude HA, and the supernatant was crude FA after the pH of the filtrate was adjusted to 1–2.

The HA was redissolved with 0.1 mol/L NaOH, supernatant was collected after centrifugation (10,000 rpm for 20 min), and pH of supernatant was adjusted to 1–2 with 6 mol/L HCl, followed by static settlement for 6 h. It was centrifugated again, and the supernatant was discarded. Pure HA was obtained after four times washing with distilled water and 0.1 mol/L HCl. The crude FA was passed through the XAD-8 resin column, and the FA was trapped in the resin and then eluted in the resin column with 0.1 mol/L NaOH. The solution was passed into IR120 hydrogen cation exchange resin column to eliminate the interference of sodium ion. Purified FA was obtained after being freeze-dried. HA and FA were stored in a 4 °C refrigerator for further analysis (Ma et al. 2001).

Electrochemical measurements

The ETC includes electron accepting capacity (EAC) and electron donating capacity (EDC), both of which can be measured by electrochemical methods (Bi et al. 2013). Electrochemical measurements were performed on an electrochemistry workstation CHI660 (Chenhua Co., Ltd., Shanghai, China). The electrochemical detection method uses a three-electrode electrolytic cell device with working electrode (glassy carbon electrode), opposite electrode (platinum column electrode), and reference electrode (Ag/AgCl electrode) (Tang et al. 2019). The purified HA and FA were determined by voltammetry, and 2 g/L ABTS and 2 g/L DQ were used as mediators for oxidation and reduction, respectively (Bi et al. 2013). During the detection, the electrolytic device should be installed first, 2 mL neutral phosphate buffer and 2 mL KCl solution should be added to the electrolytic cell, and nitrogen should be used for 5 min to drain oxygen. Nitrogen should also be used during the detection to ensure stable reading of the detection data. The oxidation potential and reduction potential were set at 0.61 and −0.49 V, respectively, for baseline detection. When the baseline was stable, 1 mL of mediating agent was added into the measuring device for further detection (ABTS was added for EDC detection, and DQ was added for EAC detection). After the reaction was stabilized, diluted HA and FA samples were added to keep TOC at 50 mg/L. The ETC was calculated using the following formula:

$$ETC\kern0.1em \left( EDC\kern0.50em \mathrm{or}\ EAC\right)=\frac{A_P}{\left(e\times {N}_A\times {M}_C\right)}.$$

The unit of EAC and EDC was μmol e·(g C)−1, Ap was the Coulomb integral of compost organic matter oxidation curve or compost organic matter reduction curve, and the unit of Coulomb was (C), NA was Avogadro constant (6.02×1023 mol−1), e was the charge per unit electron (1.6×10−19 C), MC was the content of carbon in the reaction system (3.5×10−4 g), and ETC of compost sample was the sum of EDC and EAC.

ERR refers to the number of electrons that HS can steadily accept and supply as an electron shuttle. ERR is commonly used to represent its detection device. The potential-step method was used to detect HA and FA, and 0.5–1 mL of purified HA and FA were diluted and added into 2 mL DMSO and 1 mL in the electrolyte solution of 1 mmol/L sodium perchlorate. The total TOC was kept at 50 mg/L, the oxidation and reduction potentials were set at 0.61 and −0.49 V, respectively, and the number of cycles was set to 3. The ERR was calculated using the following formula:

$$ERR=\frac{Q_{cycle2}+{Q}_{cycle3}}{2{Q}_{cycle1}}\times 100\%.$$

Structure and component characterization of organic compounds

Fluorescence spectra

The composition and evolution of HS in composting process are often detected by excitation–emission matrix (EEM) spectroscopy (Marhuenda-Egea et al. 2007). In this study, the EEM fluorescence spectra were recorded by an F98 fluorescence spectrophotometer (Linguang, Shanghai, China). The excitation wavelength (Ex) was set at 200–450 nm, and the emission wavelength (Em) was set at 280–550 nm. Slit broadband was 5 nm. The scanning speed was set at 3000 nm/min.

The fluorescence spectra image of HS was transformed into a matrix, and MATLAB R2018 was used for PARAFAC analysis. DOMFluor and EEMscat toolkit (www.models.life.ku.dk) were used to separate the components and calculate the content of each component in the sample. Before separation, the blank sample was deducted to reduce the influence of Raman scattering (Stedmon et al. 2003). Humification index (HIX) and fluorescence index (FI) were calculated by pickpeaks function. HIX was an important index to reflect the humification degree of compost, while FI could reflect the contribution degree of aromatic substances and nonaromatic substances to compost (He et al. 2013; Wang et al. 2016).

Ultraviolet and visible spectrophotometry

Ultraviolet and visible (UV–Vis) spectrophotometry was performed with UV-2820 UV–Vis spectrophotometer (Unique, USA). TOC was diluted to 20 mg/L before scanning, and pure water was used as blank control group. The scanning wavelength ranged from 190 to 700 nm, and the scanning interval was 1 nm.

Fourier transform infrared spectroscopy

Fourier transform infrared spectroscopy (FT-IR) was conducted using an infrared spectrophotometer (Is10, ThermoFisher, USA) for detection. Freeze-dried sample and KBr after grinding were mixed with a mass ratio of 1:100 and then ground with agate mortar. The mixed samples after grinding were placed into a tablet pressing mold for pressing. The pressed glass slides were uniformly transparent and placed into infrared spectrograph to determine the scanning range of 450–4000 cm−1, the number of scanning was set to 14, and the resolution was 2 cm−1.

Results and discussion

Physico–chemical analysis

All treatments reach peak temperature on day 1 (Fig. 1a), and VQ3 has the highest peak temperature possibly due to the higher ventilation quantity. The three treatments last 11, 11, and 10 days in the thermophilic phase (>50 °C), respectively. The temperature of VQ1 during thermophilic stage is significantly lower than that of VQ2 and VQ3, which may be due to the decrease in microbial activity caused by insufficient ventilation. The change in VS could reflect the degradation of organic matter (Fig. 1b). At the end of composting, the VS of three treatments decreases by16.6%, 18.8%, and 21.1%, respectively, which indicates that the increase in ventilation quantity promotes the degradation of organic matter.

Fig. 1
figure 1

Changes of physico-chemical parameters. Temperature (a), VS (b), MC (c), and GI (d) during composting

The MC of the three treatments increases on days 0–3, and then, it gradually decreases until the end of composting (Fig. 1c). The MC of VQ2 decreases most significantly, which may be related to the longer duration of thermophilic stage. GI is commonly used to evaluate the phytotoxicity and maturity of compost (Yang et al. 2015). The GI of three treatments fluctuates up and down in the range of 30–60% at the early stage of composting (Fig. 1d). After day 30, the GI values of three treatments increase rapidly. Eventually, the GI of VQ2 (132.3%) is higher than that of VQ1 (115.6%) and VQ3 (109.8%). The results show that all three treatments reach maturity (>80%), and the maturity of VQ2 is the highest.

ETC evolution of HS during composting

The ETC of HA and FA samples is shown in Fig. 2. The EDC and EAC of HA show an overall upward trend. The EDC of HA of VQ1, VQ2, and VQ3 gradually increases from day 0 (41.52, 39.41, and 38.06 μmol e/g C, respectively) to the maximum on day 40 (44.15, 57.12, and 57.66 μmol e/g C, respectively); the EAC gradually increases from day 0 (40.45, 39.76, and 39.91 μmol e/g C, respectively) to the maximum on day 40 (48.02, 55.96, and 52.90 μmol e/g C, respectively). The increase in EDC and EAC may be due to the oxidation of lignin-like matter and the increases in phenols, quinones, and carboxyl groups in HA during composting (He et al. 2019). The increasing trend of the ETC of HA in the three piles is similar to that of EDC and EAC; it reaches the maximum value on the 40th day, and it reaches 92.17, 113.08, and 110.56 μmol e/g C for the three piles, respectively. The ETC of HA in VQ2 and VQ3 is stronger than that in VQ1, while the difference between VQ2 and VQ3 is not obvious.

Fig. 2
figure 2

Changes in EDC (a, b), EAC (c, d) and ETC (e, f) of HA and FA at different stages of compost

The EDC of FA fluctuates from day 0 (24.22, 26.92, and 27.37 μmol e/g C) to day 40 (31.95, 35.34, and 34.56 μmol e/g C), which may be due to the degradation of organic matter that increases the reducing group content in FA. EAC increases from day 0 (40.45, 24.83, and 26.68 μmol e/g C) to day 40 (48.02, 33.84, and 36.54 μmol e/g C), which is similar to EDC. The EAC of FA increases gradually, which is possibly due to the decomposition of protein-like substances and aromatic polycondensation during the composting process (He et al. 2019). The ETC of FA in the three piles shows an increasing trend, and it reaches the maximum value at day 40 (65.3, 72.45, and 71.86 μmol e/g C).

In summary, the ETC of FA and HA in VQ2 is stronger than that in VQ1 and VQ3, which may be due to that VQ2 improves the degradation and humification process and promotes the oxidation of organic matter and the formation of HSs. A slight difference is also observed in the contribution of EAC and EDC to ETC in HA and FA, which indicates that the oxidation and reduction capacities of HS are the same. This result is different from those of the study of He et al. (2014a).

The ERR of HA and FA in the three piles is shown in Fig. 3. HA and FA show a slightly declining trend first and then a rising trend. The ERR of HA is in the range of 45.82–70.59%, and that of FA is in the range of 51.88–72.37%. Only a slight difference is observed between FA and HA in ERR. However, FA has a slightly higher

Fig. 3
figure 3

Changes in ERR of HA (a) and FA (b) at different stages of compost

ERR than HA. This result may be due to the fact that FA contains a large number of unstable electron groups and has a stronger cyclic reaction capacity.

Composition and structure evolution of HS and its influence on ETC

EEM fluorescence spectra

Four components were identified through PARAFAC analysis (Fig. 4). Component 1 (C1, Ex=345 nm, Em=430 nm) shows one excitation peak and one emission peak ascribed to HA peak (Ex=300–370 nm, Em=420–510 nm). The result is similar to the humic-like substance peak discovered by Zhou et al. (2019). Component 2 (C2, Ex=400 nm, Em=485 nm) also shows a single excitation peak and an emission peak located in the humic-like substance peak region, but its Ex has a blue shift. Component 3 (C3, Ex=320 nm, Em=389 nm) peak is located in the traditional fulvic-like region (Ex=310–369 nm, Em=370–450 nm), which corresponds to fulvic-like substances. The peak of component 4 (C4, Ex=240 nm, Em=351 nm) is located in the T-peak region (Ex=270–280 nm, Em=320–350 nm), which mainly reflects protein-like substances such as tryptophan (Zhang et al. 2021b).

Fig. 4
figure 4

Overview of each component and related fluorescence load obtained after three-dimensional fluorescence parallel factor analysis

HA and FA of the three piles can be divided into four components by PARAFAC analysis, and content changes of different components are shown in Fig. 5. The C4 of the HA decreases gradually with the composting process, which implies that protein-like substances are degraded by microorganisms, and the C4 content in VQ1, VQ2, and VQ3 decreases to 4%, 1%, and 4%, respectively. By contrast, VQ2 has a higher utilization efficiency of organic matter. The content of C4 in FA increases first and then decreases, but the content of C4 in FA of the three piles decreases to the minimum at the end of composting.

Fig. 5
figure 5

Changes in the proportion of HA and FA in each stage of compost humic substances. VQ1 (a, b). VQ2 (c, d). VQ3 (e, f)

The content of C3 in HA increases first and then decreases, and it increases slightly at the end of composting compared with the initial value. This result may be due to the formation of FA from small molecular substances in composting process. Then, the FA gradually transforms into humic-like substances or HS precursors. However, a slight change is observed in C3 content of FA in the three piles, which may be due to the continuous conversion and degradation of FA (Huang et al. 2021). The content of C2 of HA and FA in the three piles increases, which means the gradual formation of humic-like substances during composting. The C1 of HA at the end of composting is insignificantly different from the initial value, but the C1 of FA shows a significant increase, which is probably due to C1 being closer to the fulvic-like substance in the fluorescence composition. The formation rates of C1, C2, and C3 in VQ2 are the highest, which implies that the degradation of protein and the production of humic-like substances are enhanced in pile VQ2.

The HIX of HA and FA in piles VQ1, VQ2, and VQ3 increases steadily (Fig. 6), and the humification degree of HA is higher than that of FA. Therefore, the composting process increases the humification degree of HA and FA (Jacquin et al. 2017). As shown in Fig. 6, the FI of all three piles gradually increases (McKnight et al. 2001). This result may be due to the microbial degradation and polymerization of organic substances into aromatic structure, such as aromatic groups and benzene ring, which improves the aromatic properties of HA and FA. The FI value of FA is higher than that of HA, which means that aromatic substances in FA contribute more to compost maturity.

Fig. 6
figure 6

Changes of HIX index of HA (a), FA (b) and FI index of HA (c), FA (d) in compost humic substances

UV–Vis spectra

The UV–Vis spectra of HA and FA of the three piles are shown in Fig. S1. The UV–Vis absorption values of the three piles have similar trend, and all of them tend to decrease with the increase in wavelength. HA and FA have an absorption peak at approximately 260–280 band, which is caused by the light absorption of lignosulfonate and its derivatives in the sample, and its absorbance value will increase with the continuous generation of unsaturated conjugated bond C=C/C=O (Li et al. 2010). Except for FA of VQ3, the absorption values of HA and FA at the absorbance of 280 nm increase, which implies that the aromaticity and unsaturation of HS increase, and the degree of humification increases with the progress of composting.

SUVA254 and SUVA280 (specific ultraviolet absorbance at 254 and 280 nm, respectively) are generally used to represent the content change of unsaturated C=C bond and the change in aromatic molecular weight (Albrecht et al. 2011). During composting, the condensation of lignin and amino acid will increase the HS content, and the absorption value of the SUVA254 will also increase (Song et al. 2015). The absorption value of the SUVA280 is related to the molecular weight of organic matter (Ren et al. 2019). Both indicators can represent degree of humification. As shown in Fig. 7, SUVA254 and SUVA280 of HA and FA for VQ1 and VQ2 show an overall increasing trend, which implies that their HS content is increased. The HA of VQ3 shows a fluctuating rise, but its FA shows a fluctuating decline. According to EEM spectrum analysis, this phenomenon may be due to that excessive aeration in the early stage of compost results in a large amount of FA of VQ3, but the unstable structure of FA leads to a low conversion rate in the stable period.

Fig. 7
figure 7

SUVA254 of HA (a), FA (b) and SUVA280 of HA (c), FA (d) in compost humic substances

E250/E365 is the ratio of lignin to carboxylic acid, and it is often used to indicate the molecular weight of organic matter (Strobel et al. 2001). E253/E203 can be used to characterize the types of substituents on the aromatic ring. A lower E253/E203 value indicates that the substituents are stable groups such as aliphatic chains, while a higher E253/E203 value indicates that the substituents are active groups such as hydroxyl, carboxyl, and carbonyl groups (He et al. 2014b). As shown in Fig. 8, the E250/E365 value of HA and FA of the three piles decreases with the composting process. The E250/E365 value of HA (2.54–2.56) at the end of composting is lower than that of FA (3.14–3.66), and the decrease in VQ2 is larger, which indicates that more macromolecular HAs are generated in the HS of VQ2 (Said-Pullicino et al. 2007). As shown in Fig. 8, the E253/E203 value of HA fluctuates during the composting process, and its increase is most significant in VQ2. Unlike the E253/E203 value of HA, that of FA in all the three piles shows a continuous upward trend. The interaction between HS and heavy metals in soil mainly depends on the transfer of electrons of active groups, and remediation of soil pollution can be achieved through chelating and redox effects of heavy metals (Chen et al. 2019). The change in the E253/E203 indicates that soil heavy metals can be better passivated by compost products derived from VQ2.

Fig. 8
figure 8

E250/E365 of HA (a), Fa (b) and E253/E203 of HA (c), Fa (d) in compost humic substances

The ratio of the integral of the 275–295 nm absorption band to the integral of the 350–400 nm absorption band is denoted as Sr, which is negatively correlated with the molecular weight of HS and can be used to characterize the degree of aromatization in HS (Spencer et al. 2012). Fig. 9 a and b show that the Sr value of HA and FA in the three piles decreases continuously with the composting process, which implies that macromolecular aromatic substances increase continuously during composting. E2/E4 (= A280/A472) is related to the content of lignin (Biyada et al. 2020). In general, lignin is converted to polyphenols and eventually oxidized to quinone groups and aromatic structures during composting (Che et al. 2020). Fig. 9 c and d show that the E2/E4 of HA and FA in the three piles shows a decreasing trend. At the end of composting, the E2/E4 values of VQ2 and VQ3 are significantly lower than that of VQ1, which implies that the increase in ventilation quantity promotes the degradation of lignin.

Fig. 9
figure 9

Sr variation of HA (a) and FA (b) and E2/E4 in compost humic substances

FT-IR results

The FT-IR results of HA and FA of the three piles are shown in Fig. 10. The absorption peaks of HA and FA in the three piles are mainly 3439–3280 cm−1, 2957–2917 cm−1, 2856–2842 cm−1, 1657–1646 cm−1, 1547–1513 cm−1, 1402 cm−1, 1255–1241 cm−1, and 1043–1026 cm−1. The wave peaks of 3439–3280 cm−1 in the three piles gradually weaken, which means that O–H functional groups such as hydroxyl group on HA and FA are decreasing during the composting process (Peltre et al. 2017; Soobhany et al. 2017; Sun et al. 2014). The absorption peak of 2957–2917 cm−1 may be caused by the C–H antisymmetric vibration of lignin and C–H stretching vibration of aliphatic group (Nasonova et al. 2020). The peak of HA and FA in the three piles weakens and disappears on day 12. Therefore, the fat substances are completely consumed during the cooling period of compost. The wave peak of 1657–1646 cm−1 is the C=C stretching vibration of aromatic group, and the growth degree of VQ2 and VQ3 in this section is higher than that of VQ1, which proves a higher degree for the humification (Masmoudi et al. 2013). The absorption peak of 1547–1513 cm−1 may be generated by N–H and C=N stretching vibration, and FA in the VQ2 and VQ3 performs more significant in this section, and HA performs more significant in VQ2 (Merlo et al. 2020). The peak of 1402 cm−1 may be caused by the stretching vibration of carboxylic acids, and VQ1 and VQ3 are stronger than VQ2 at 1255–1241 cm−1, which may be caused by the stretching of lignin-related functional groups. The HA and FA of the three piles have little difference at 1043–1026 cm−1, which may be generated by C–O stretching vibration of polysaccharides or alcohols. The analysis of the wave peak above shows that VQ2 has a higher degree of humification.

Fig. 10
figure 10

Infrared spectra of HA and FA of VQ1 (a), VQ2 (b), and VQ3 (c) in compost humic substances

The changes in the ratios between peaks can further reflect the structural changes of organic matter (Table 2). The ratios of 1646/2928 (aromatic C/aliphatic C) and 1650/1025 (aromatic C/polysaccharides C) both show an increasing trend, which means that aliphatic groups and polysaccharide are degraded, while the aromatic compounds increase during composting. The 1646/1403 (aromatic C/carboxyl C) of VQ1 decreases during composting while that of VQ2 and VQ3 increases, which may be due to the continuous formation of carboxyl C during composting, while the lower ventilation quantity may result in the release of carboxyl C into the environment as CO2 (Xu et al. 2019).

Table 2 The intensity ratios of the major peaks of HA and FA during composting

Relationship among ETC, fluorescence characteristics, and maturity degree of HA and FA in compost with different ventilation quantities

Correlation analysis was conducted to elucidate the relationship among ETC, ERR, maturity degree, and fluorescence characteristics of HA and FA. As shown in Fig. S2, components in HA of VQ1 are insignificantly correlated with changes in EDC, EAC, and ETC. Meanwhile, ERR and C4 are significantly negatively correlated. This result may be due to that the decomposition of protein-like substances will make HS generate more active reversible groups (Amir et al. 2010). HIX is significantly positively correlated with ERR and negatively correlated with C4. Therefore, the decomposition of protein-like substances would increase the degree of humification and improve ERR of HS. FI, Sr, and HIX for FA in VQ1 are significantly positively correlated with EDC, ETC, and ERR, respectively, which indicates that the formation of macromolecular aromatic compounds and the increase in humification degree facilitate improvements in the redox capacity of HS. In VQ2 and VQ3, Sr is positively correlated with EAC in HA, while HIX is positively correlated with EDC, which suggests that humification can improve the redox capacity of HA. C1, C3, and HIX are positively correlated with ETC in VQ2 FA, while they have no obvious correlation in VQ1 and VQ3. Therefore, the formation of humic-like and fulvic-like substances in VQ2 can promote the improvement in ETC of FA. Accordingly, the correlation heat map of VQ3 is similar to that of VQ2, which also proves that C1 and HIX correlate well with the electrochemical indicators.

Conclusion

Physico–chemical parameters show that VQ2 has higher maturity. Spectroscopy analysis shows that the humification degree, aromatization degree, and molecular weight of HA and FA increase during composting with different ventilation quantities, while the content of lignin, polysaccharide, and aliphatic decreases. Electrochemical measurement results reveal that HA and FA in VQ2 have stronger ETC and ERR than those in VQ1 and VQ3 at the end of composting. This finding may due to that VQ2 accelerates the degradation of protein-like substances and improves the humification degree of compost, which enhances the redox capacity of HS.